ORIGINAL_ARTICLE
Price Transmission in the Market of Chicken Meat: Autoregressive Switching Markov Models (MSAR)
The purpose of this study is to examine how the transfer price of chicken meat in Iran. For this purpose, weekly prices statistics for chicken slaughter chickens at a fast and soy meal prices in 2007-2012 have been used. Note that the time series variables are non-linear, linear models cannot be used to test the transfer price. Therefore, nonlinear models such as Markov switching models or threshold models utilize. Due to the flexibility of the Markov switching model and that, the regimes transition is determined probability by exogenous, Markov switching model have been used in this study. Results of model selection (MSMAH (3)-AR (2)) with three regimes (lower prices, light lower prices and higher prices) and two interrupt indicates that all variables are significant. Price transmission is Asymmetric and rising in the prices of production inputs faster than reduce in the prices of production inputs being transmitted to the price of poultry meat. Chicken meat prices are likely to be reduced by 46%, probably 71% of the price of chicken increases, and the prevailing economic regime is light lower regime that prices probably will decreases slowly 90% in the price of chicken.
https://ijaedr.ut.ac.ir/article_71307_4c30d20ac3b552e89cf71a3bbd20fac8.pdf
2019-03-21
1
17
10.22059/ijaedr.2019.35343.667474
transfer price
Iran
chicken
Markov switching autoregressive (MSAR)
Esmaeil
Pishbahar
pishbahar@yahoo.com
1
Associate Professor, Department of Agricultural Economics, Agricultural Faculty, University of Tabriz, Tabriz, Iran
LEAD_AUTHOR
Roya
Ferdousi
roya.ferdosi@yahoo.com
2
PhD. Student, Department of Agricultural Economics, Agricultural Faculty, University of Tabriz, Tabriz, Iran
AUTHOR
Fereshte
Assadollahpour
fereshteassa@yahoo.com
3
PhD. Student, Department of Agricultural Economics, Agricultural Faculty, University of Tabriz, Tabriz, Iran
AUTHOR
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44
ORIGINAL_ARTICLE
Investigating the effects of guaranteed prices and production costs on the cultivated area of agricultural strategic crops
One of the issues faced by policy makers of the agricultural sector is determining the production strategy of the country as well as choosing between either relative advantage or self-sufficiency as a strategy for producing the crops in agricultural sector. The relative advantage strategy is based on economic principles, and on the other hand, the self-sufficiency in strategic agricultural crops, although it is an uneconomic goal, But it is politically important. In this research, the factors affecting the cultivated area of rain-fed barley, irrigated barley, rain-fed wheat, irrigated wheat, irrigated corn, sugar beet, cotton, potatoes and onions with guaranteed prices will be assessed during the period 2006-2014 in the form of a dynamic panel econometric model using Arellano–Bover/Blundell–Bond estimator. The results showed that variables of guaranteed price and lag in cultivated area had a positive and significant effect, but the production cost variables had a negative and significant effect on cultivated area of strategic crops. According to the results, with a 1% increase in the guaranteed price, it is expected that the cultivated area would increase by 0.135%, provided that other conditions are constant. Also, 1% increase in production costs per ha would result in a 0.14% decrease in the cultivated area if other conditions to be constant.
https://ijaedr.ut.ac.ir/article_71308_5eb94ac8296325b5e92de3eac28c8072.pdf
2019-03-21
19
28
10.22059/ijaedr.2019.250292.668546
Arellano–Bover/Blundell–Bond estimator
Dynamic panel model
Strategic products
Guaranteed Price
Saeid
Yazdani
syazdani@ut.ac.ir
1
Professor, Department of Agricultural Economics, Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran
LEAD_AUTHOR
morteza
hasnaki
mortezahski@gmail.com
2
MSc. Student, Department of of Agricultural Economics, Faculty of Agriculture Engineering and Rural Development, Agriculture and Natural Resources Khozestan University, Ahvaz, Iran
AUTHOR
Hossein
Norouzi
h_noroozi1387@ut.ac.ir
3
PhD. Student, Department of Agricultural Economics, University of Tehran, Karaj, Iran
AUTHOR
Abiar, N.M. and Hossein, S.S. 2008. Agricultural Crop Response Analysis in Iran. Iranian Journal of Agricultural Science. 38(3).
1
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5
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14
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24
ORIGINAL_ARTICLE
Economic evaluation of optimum cultivating pattern for reducing the use of groundwater in Dehgolan plain
In recent years, the Dehgolan plain has been faced by a sharp drop in groundwater and land subsidence due to the drought and over-harvesting of water resources. Hence, one of the most important water management practices is management of cultivating pattern that has more importance in drought situations in order to reduce water super-crisis. This plain with an area of 62.4 thousand hectares and the coordinates of 10' 470 to 44' 480 eastern longitudes and 00' 350 to 32' 350 northern Latitudes is at the eastern of Kurdistan province. This research was designed to develop an optimal cropping pattern (wheat, barley, alfalfa, onion, potato, clover and sainfoin) for under low water conditions. Moreover, this paper presented an optimal irrigation program for maximizing the gross profit of the farm. For this purpose, data from the crop years of 2016-2017 was used as input of Positive Mathematical Programming Model. The results showed that in the optimum conditions for plant production, the amount of water saving in the first to third scenario was 22.1%, 30.5%, and 35.5%. On the other hand, the gross profit of the farm decreased 4.6%, 9.3% and 14.8% respectively. Consequently, it can be said that applying irrigation policy in stages of growth of products that are less susceptible to dehydration results in farmers to select a cultivation pattern that has high economic benefits compared to cultivating other product.
https://ijaedr.ut.ac.ir/article_71309_4d6da8e236b7097aafa515b5bb804971.pdf
2019-03-21
29
43
10.22059/ijaedr.2018.249900.668543
Deficit irrigation
Positive Mathematical Programming
Groundwater
Dehgolan Plain
Mohammad Ali
Asadi
a.asaadi68@yahoo.com
1
PhD. Student, Department of Agricultural Economics, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran
AUTHOR
Hamed
Najafi Alamdarlo
hamed_najafi@modares.ac.ir
2
Assistant Professor, Department of Agricultural Economics, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran
LEAD_AUTHOR
Asaadi M.A. 2017. Economic Analysis of Deficit Irrigation Strategies for Managing Agricultural Water Resources (Case Study: Qazvin Plain Irrigation Network), M.Sc. Dissertation, Tarbiat Modares University, Tehran. Iran. (In Persian)
1
Asaadi M.A., Hajirahimi M., & Mortazavi S.A. 2018. The effects of restriction policy of agricultural water supply on cropping pattern: A Case Study of Dehgolan Plain in Kurdistan Province, Agricultural Economics & Development, In press. (In Persian)
2
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3
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47
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50
Varziri, A. 2015. Evaluation of Water Pricing Policies on Water Consumption in Agricultural
51
Sector (Case Study: Dehgolan Township), M.Sc. Dissertation, Tarbiat Modares University, Tehran. Iran. (In Persian)
52
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54
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56
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57
Zhang, H. and Oweis, T. 1999. Water-Yield Relations and Optimal Irrigation Scheduling of Wheat in the Mediterranean Region. Agricultural Water Management, 38, 195-211.
58
ORIGINAL_ARTICLE
Evaluating the Efficiency and Productivity of Grapevine Gardens in Sistan Region
The purpose of this research is to evaluate the efficiency of grape harvesters in Sistan region using non-parametric methods. Measuring the efficiency of grapevine and comparing their performance play an important role in improving their level of efficiency and productivity and provide support for planning the exploitation of this product in Sistan. One of the common methods of measuring efficiency is data envelopment analysis. This method, despite its advantages, is not suiteble to measuring efficiency when the number of decision-making units is few. Therefore, using the window envelopment analysis approach, the number of decision-maker units is increased and the efficiency of the users can be well measured. In this research, using windouw data analysis in the period of 2011-2016, the efficiency of Sistan grapevine will be determined. According to the results obtained regarding the efficient or inefficient exploiters, Zabol and Hirmand and Zahak have a yield of less than one that indicates inefficiency in grape harvesting. Also, according to Malmquest index, the average of total productivity changes for Zahak city is 1.05 during the mentioned period. One of the most effective factors in total productivity changes has been technological changes. It is suggested that new technology (gardener integration and new irrigation) be used in agriculture to increase the efficiency and productivity of grape product in the region.
https://ijaedr.ut.ac.ir/article_71310_3f1ada6aa477529eab0f7bc62e7c88b6.pdf
2019-03-21
45
63
10.22059/ijaedr.2018.244523.668509
productivity
Malmquist Index
Data Envelopment Analysis
and Window Data Analysis Approach
Performance
Ali
Sardar Shahraki
a.shahraki65@gmail.com
1
Assistant Professor, Department of Agricultural Economics, University of Sistan and Bluchestan, Zahedan, Iran
LEAD_AUTHOR
Neda
Aliahmadi
ahmadi_150877@yahoo.com
2
PhD. Student, Department of Agricultural Economics, University of Sistan and Bluchestan, Zahedan, Iran
AUTHOR
Ghasem
Layani
ghasem.layani.su@gmail.com
3
PhD. Student, Department of Agricultural Economics, University of Shiraz, Shiraz, Iran
AUTHOR
Abtahi, H., and Kazemi, B. 2004. Opportunity. Institute for Business Studies and Research. (In Farsi)
1
Afkhami Ardakani, M., Momeni, M,. and Farahi, R. 2011. A Study of the Efficiency of Iranian Commercial Banks Using a Combined Window Approach and Malmquist Productivity Index, Two Manuscripts of Daneshvar Behavior / Management and Development, Shahed University, Eighteenth, No.2-47, Pages 179-206. (In Farsi)
2
AKamin, A., Bidogeza, J., Rene Minkoua, J., Afari-sefa, V. (2017). Efficiency and productivity analysis of vegetable farming within root and tuber-based systems in the humid tropics of Cameroon, Journal of Integrative Agriculture, Volume 16, Issue 8, August 2017, Pages 1865-1873.
3
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4
Amani, B., and Arabzadeh, S.M. 2014. Performance Evaluation of Service Units with Data Envelopment Analysis Approach Case Study: Saipa Agencies of Isfahan Province, National Conference on Industrial Engineering Research, Hamadan. (In Farsi)
5
Amiri, H., Gugardchian, A., and Kiani, Gh. 2014. Comparative Effectiveness of Agricultural Cooperatives in the Supply Sector with the Approach of Exchange Economics Approach (Case Study: Southern Khorasan Province), Iranian Journal of Economic Research, Vol. 11, No. 21, pp. 9-37. (In Farsi)
6
Asmild, M.; Paradi, J. C.; Aggarwall, V.; and C. Schaffnit (2004). “Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry”, Journal of Productivity Analysis, Vol. 21, pp. 67-89.
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8
Babaei, M., Paknejad, H., Mardani, M., and Salarpour, M. 2012. An Evaluation of the Efficiency of Agricultural Crops in Jahrom City Using Interim Data Envelopment Analysis (IDEA), Journal of Research and Operations and its Applications, Year ninth, No. 4, pp. 53-43. (In Farsi)
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58
ORIGINAL_ARTICLE
An Integrated Bread Flour Supply Chain Model considering Import, Storage, Production and Distribution Planning
Since wheat is an important and strategic commodity, planning and managing its supply chain is also important. Yearly, million tons of wheat are purchased from other countries whereas food grain was the main imported community into the country in 2014. On the other hand, wheat and its products are considered among the highest good transportation in the country. In this regard, this study presents optimization model for bread flour supply chain network design with the aim of strategic decisions on imports and tactical decisions on allocation. In addition, in spite of the most presented papers in this area, in this paper bread flour supply chain is integrated with attention to current capacities to produce flour. The model determines that in which months, what amount of the wheat should be purchased and transported from which country and through which point of import were sent to which province. Also, the stock size of the wheat in provinces and the inter-provincial transportation of wheat and flour produced in every province and its movement between provinces was determined The numerical results of the model and sensitivity analysis experiments along with important managerial insights were brought.
https://ijaedr.ut.ac.ir/article_71311_d8e672c8b146586e22948f810d7660a2.pdf
2019-03-21
65
78
10.22059/ijaedr.2018.140688.668176
Supplier Selection
Wheat Import Planning
Optimization Model
Network Design
Bread Flour Supply Chain
Mohammad Reza
Gholamian
gholamian@iust.ac.ir
1
Associate Professor, School of Industrial Engineering, Iran University of Science and Technology (IUST), Tehran, Iran.
LEAD_AUTHOR
Abdolhakim
Taghanzadeh
a.hakim_1990@yahoo.com
2
MSc. Student, School of Industrial Engineering, Iran University of Science and Technology (IUST), Tehran, Iran
AUTHOR
Esmaeil zadeh, H. (1986). The best model of transport and storage of wheat in Iran. MSC dissertation, University of Shiraz, Iran.
1
Torkamani, J. Shirvanian, A. (1998). The optimal model of wheat transportation in the province of Fars. Proceedings of the Second Conference of Agricultural Economics, 63-70.
2
Sheikhi, A. (1992). Optimal model of transportation for imported Wheat. Research of Jihad ministry.
3
Pourhossein, M. (1996). Optimal model of Wheat transportation. Journal of Zamineh, 61(5), 66-73.
4
Sheikhi, A. Nazeman, H. (2004). Planning model for the temporal and spatial distribution of imported wheat. Journal of Commerce, 29(1), 73-102.
5
Kopahi, M. Kiani, G. (2006). Optimal transportation schedule of Wheat using mathematical models. Iranian Journal of Agriculture Science, 37-2(1), 127-135.
6
Asgari, N., R. Z. Farahani, H. Rashidi-Bajgan and M. S. Sajadieh (2013). Developing model-based software to optimise wheat storage and transportation: A real-world application. Applied Soft Computing 13(2), pp 1074-1084.
7
Mahmoudinia, M. (2013). Hub location problem in the network of domestic Wheat distribution. MSC dissertation, University of Amirkabir, Tehran, Iran.
8
U.N. Publication, (2014). Review of Maritime Transport. United Nations Conference on Trade and Development, UNCTAD.
9
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17
ORIGINAL_ARTICLE
A non-parametric Approach to Specifying Changes of Preferences German Consumers for the Iranian and U.S. Pistachios
Observing aflatoxin in Iranian pistachio from time to time and continuing substitution of U.S. pistachios instead of the Iranian one in the German market suggests that changes in the preferences of German consumers may have occurred against Iran's pistachios. The present study seeks to test this hypothesis. Given that, data on imports of pistachios from Iran and the United States during the period of 1988-2015 have been examined using a nonparametric approach based on the weak and strong axiom of revealed preferences. In addition, the K-W test has been used to test the significance of the observed violations. Results showed that, structural changes have occurred in the preferences of German consumers against Iranian pistachios. Additionally, the main reason for the observed preference changes roots in the health considerations by the German consumers. Hence, it would be difficult for Iranian exporters to regain the German market. Ensuring the continuity of healthy pistachio production and its guarantee by the official health authorities may help to restore the German market to Iranian pistachio exporters.
https://ijaedr.ut.ac.ir/article_71313_b44e043b784bb1b306340dd0a53c29bb.pdf
2019-03-21
79
95
10.22059/ijaedr.2018.261600.668626
Pistachio
Nonparametric approach
K-W Test
WARP
SARP
Habibollah
Salami
hsalami@ut.ac.ir
1
Professor of Agricultural Economics, University of Tehran, College of Agriculture and Natural Resources, Tehran, Iran
LEAD_AUTHOR
Sohrab
Sadafi Abkenar
sohrab_sadafi@ut.ac.ir
2
Ph.D. Student of Agricultural Economics, University of Tehran, College of Agriculture and Natural Resources, Karaj, Iran
AUTHOR
Abdolahi, M. (2013). Study of market structure and factors affecting the demand for Iranian pistachio exports. MSc dissertation, University of Tehran, Iran. (In Farsi)
1
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2
Afriat, S. N. (1967). The Construction of Utility Functions from Expenditure Data. International Economic Review, 8(1), 67. https://doi.org/10.2307/2525382
3
Bahmani-oskooee, M., & Brown, F. (2004). Kalman filter approach to estimate the demand for international reserves Kalman filter approach to estimate the demand for international reserves. Applied Economics, 36(15), 1655–1668. https://doi.org/10.1080/0003684042000218543
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Beach, R. H., Kuchler, F., Leibtag, E., & Zhen, C. (2008). The Effects of Avian Influenza News on Consumer Purchasing Behavior: A Case Study of Italian Consumers’ Retail Purchases (No. 56477). Economic Research Report. United States Department of Agriculture, Economic Research Service. Retrieved from https://ideas.repec.org/p/ags/uersrr/56477.html
5
Bui-Klimke, T. R., Guclu, H., Kensler, T. W., Yuan, J. M., & Wu, F. (2014). Aflatoxin regulations and global pistachio trade: Insights from social network analysis. PLoS ONE, 9(3), 1–11. https://doi.org/10.1371/journal.pone.0092149
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Dashti, G., Khodaverdizadeh, M., & Mohammad Rezie, R. (2010). Analysis of Pistachio’s Comparative Advantages and Global Export Market Structure. Agricultural Economics & Development, 24(1), 99–106. https://doi.org/10.22067/JEAD2.V1389I1.3495. (In Farsi)
9
FAO. (2017). Food and agriculture organization of the united nations. https://doi.org/10.1177/156482650302400401
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Farajzadeh, Z., & Bakhshoodeh, M. (2011). Studying Pistachio World Market Structure with Emphasis on Iranian Market Power. Egtesad-E Keshavarzi Va Towse,e, 19(73), 125–145. Retrieved from http://aead.agri-peri.ir/browse.php?a_code=A-10-24-110&slc_lang=en&sid=1. (In Farsi)
11
Frechette, D. L., & Jin, H. J. (2002). Distinguishing transitory nonlinear shocks from permanent structural change. Structural Change and Economic Dynamics, 13(2), 231–248. https://doi.org/10.1016/S0954-349X(02)00005-X
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Jin, H. J. (2006). Verifying Timing and Frequency of Revealed Preference Violations and Application to the BSE Outbreak in Japan. Canadian Journal of Agricultural Economics, 54(1), 139–157. https://doi.org/10.1111/j.1744-7976.2006.00042.x
16
Jin, H. J. (2008). Changes in South Korean consumers’ preferences for meat. Food Policy, 33(1), 74–84. https://doi.org/10.1016/j.foodpol.2007.05.004
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Jin, H. J., Sun, C., & Koo, W. W. (2003). The effect of the BSE outbreak in Japan on consumers’ preferences. European Review of Agriculture Economics, 30(2), 173–192. https://doi.org/10.1093/erae/30.2.173
18
Kavoosi Kalashami, H., Kavoosi Kalashami, M., & Pakravan, M. R. (2015). Assessment of Structural Change in Iranian Municipal Consumers’ Preference for Edible Vegetable Oil. Agricultural Economics and Development, 22(88), 23–39. Retrieved from http://aead.sinaweb.net/article_58942.html. (In Farsi)
19
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Koshteh, K. M., & Urutyan, V. E. (2003). Global Pistachio Production And Marketing Challenges. In CEA 37th Annual Meetings (pp. 1–20). Ottawa, Ontario: Carleton University. Retrieved from https://economics.ca/2003/directory.html
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35
ORIGINAL_ARTICLE
The impact of climate change on the cost efficiency of dairy farms in Iran
Dairy cows are very sensitive to heat stress caused by climate change, and this directly affects the efficiency and profitability of these farms. Despite the importance of this issue, economic studies that analyze the relationship between the efficiency of dairy farms and climate change are very limited. Therefore, the purpose of this study was to evaluate the effect of climate change on the cost productivity of dairy farms. The information of 16 main production provinces in 1990, 1993, 2000, 2007, 2013 and 2016 was used and the stochastic frontier cost function was estimated by considering THI index. The result indicates that the average cost efficiency of dairy farms is about 0.70 and its highest and lowest values are 0.78 and 0.50 for east Azerbaijan and Esfahan provinces respectively. Also, the changes in the THI index have a negative and significant effect on cost efficiencies in the studied provinces. Therefore, it is not necessary to consider genetic selection for raising milk production in the breeding policy, but also its adaptation to climate conditions.
https://ijaedr.ut.ac.ir/article_71314_9bf79cc91f90a478e7c270db49b2d3f2.pdf
2019-03-21
97
107
10.22059/ijaedr.2018.256803.668600
cost efficiency
dairy farms
stochastic frontier
climate change
heat stress
zeinab
Shokoohi
z_shokoohi@shirazu.ac.ir
1
Assistant Professor, Department of Agricultural Economics, Faculty of Agriculture, Shiraz University, Shiraz, Iran
LEAD_AUTHOR
Ahmadi F. Radmanesh F. Mirabbasi R., (2015). Trend Analysis of the Average Temperature in Southern Half of Iran during the Recent Four Decades. Water and Soil Science, 25(3): 221-225. (In Farsi)
1
Belotti F., Daidone S., Ilardi G. and Atella V. (2012). Stochastic frontier analysis using Stata. CEIS Tor Vergata, research paper series, 10(251): 1-47.
2
Bohmanova, J., Misztal, I., and Cole. J.B. (2007). Temperature-humidity indices as indicators of milk production losses due to heat stress. Journal of Dairy Science, 90:1947–1956.
3
Coelli T.J., Rao D.S.P., O’Donnell C.J., Battese G.E. (2005). An introduction to efficiency and productivity analysis, (2nd ed.). Springer, New York.
4
Darwin, R. (2001). Climate Change and Food Security. Agricultural Information Bulletins, United States Department of Agriculture, Economic Research Service, No 33645.
5
Dikmen, S. & Hansen, P.J. (2009). Is the temperature-humidity index the best indicator of heat stress in lactating dairy cows in a subtropical environment? Journal of Dairy Science, 92, 109-116.
6
Dourandish A., Nikoukar, A. Hosseinzadeh, M. and Lavshabi, A. (2013). Estimating Multi-output Technical Efficiency for the Dairy Farms of the Northern Khorasan Province (Applying Stochastic Production and Stochastic Distance Frontiers). Agricultural Economics and Development. 27(2): 114-122. (In Farsi)
7
Food and Agricultural Organization. (2008). Climate Change and Food Security. FAO, Rome, from http://www.fao.org/forestry/15538-079b31d45081fe9c3dbc6ff34de4807e4.pdf.
8
Frumhoff, P.C., McCarthy, J.J., Melillo, J.M., Moser, S.C. and Wuebbles, D.J. (2007). Confronting Climate Change in the U.S. Northeast: Science, Impacts, and Solutions. Synthesis report of the Northeast Climate Impacts Assessment (NECIA), Union of Concerned Scientists, Cambridge, MA.
9
Greene, W. (2005). Fixed and random effects in stochastic frontier models. Journal of Productivity Analysis, 23: 7–32.
10
Hansen, P. J. (2007). Exploitation of genetic and physiological determinants of embryonic resistance to elevated temperature to improve embryonic survival in dairy cattle during heat stress. Theriogenology, 68(S1): S242–S249.
11
Hatfield, J., Boote, K., Fay, P., Hahn, L., Izaurralde, C., Kimball, B.A., and Mader, T., (2008). The Effects of Climate Change on Agriculture, Land Resources, Water Resources, and Biodiversity in the United States. A Report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research, 362. Washington DC, 21–47.
12
Hoseini, S.S., Nazari, M.R. & Araghinejad, S. (2013). Investigating the impacts of climate on agricultural sector with emphasis on the role of adaptation strategies in this sector, Iranian Journal of Agricultural Economics and Development Research, 44(1): 1-16. (In Farsi)
13
Jiang, N. and Sharp, B. (2014).Cost Efficiency of Dairy Farming in New Zealand: A Stochastic Frontier Analysis. Agricultural and Resource Economics Review, 43 (3): 406-418.
14
Jondrow, J., Lovell, C., Materov, I. and Schmidt, P. (1982). On the Estimation of Technical Inefficiency in the Stochastic Frontier Production Function Model. Journal of Econometrics, 19: 233–238.
15
Key N. and Sneeringer S., (2014). Potential effects of climate change on the productivity of U.S. dairies, American. Journal of Agricultural Economic, 96(4): 1136–1156.
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Mader, T. L. (2003). Environmental stress in confined beef cattle. Journal of Animal Science, 81: E110–E119.
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Mehrabi Boshrabadi H. & Renato R. (2007). Analysis of technical efficiency and varietal differences in pistachio production in Iran using a meta-frontier analysis. Contributed paper at the 51th annual conference, February 13-16, 2007, Queenstown, New Zealand, 10425, Australian Agricultural and Resource Economics Society.
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Molaei M. & Sani F. (2017). Evaluating the Impact of Environmental Pollutants on Technical Efficiencies of Dairy Farms Using Stochastic Frontier Analysis, Iranian Journal of Agricultural Economics and Development Research. 48(1): 35-42. (In Farsi)
19
Mukherjee, D., Bravo-Ureta, B. and DeVries, A. (2013). Dairy Productivity and Climatic Conditions: Econometric Evidence from South-eastern United States. Australian Journal of Agricultural and Resource Economics, 57 (1): 123–140.
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24
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25
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26
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27
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28
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29
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30
ORIGINAL_ARTICLE
Evaluation of The Dust Phenomenon Effect and Climatic Variables on The Welfare of Maize Farmers in Khuzestan Province
The dust phenomenon, along with other climatic phenomena affects the agricultural sector, income and welfare of farmers. In recent decades, the dust phenomenon, especially in the western Iran, has become one of the environmental problems. In this study, the effect of climatic variables and the dust phenomenon on maize farmers has been investigated in Khuzestan province during 2000-2016. For this purpose, the Ricardian model has been estimated using panel data approach. The results show that the dust variable has a negative and significant effect on Khuzestan maize farmer’s rents, so that, dust reduces rents 2381 thousand Rials per hectare per crop year. Among the climatic variables, the temperature and humidity variables affect rents significantly. That way, increasing 1˚C in temperature over its mean (32.9˚C), will increase rents by 9405 thousand Rials per hectare, and also increasing 1% in the air moisture over its mean (29.9%) will reduce rents by 2272 thousand Rials per hectare. The effects of other climatic variables (rainfall and wind speed) were not significant. The results also show that fertilizer, pesticides, and the share of surface water in irrigation have a positive and significant effect on the rents and sees, labor and total area under maize cultivation have a negative and significant effect on the rents.
https://ijaedr.ut.ac.ir/article_71315_660e78d9e16225a934472d890fc1a5cd.pdf
2019-03-21
109
121
10.22059/ijaedr.2018.261157.668621
Dust Phenomenon
maize
Rents
Ricardian Method
Mohammad Hossein
Zoghipour
mh.zoghipour12@gmail.com
1
Master student of economics, Dept. of Economy, Faculty of Humanities, University of Zanjan, Zanjan, Iran
AUTHOR
Heydar
Gholizadeh
heydar81@gmail.com
2
Assistant Professor in Agricultural Economics, Faculty of Agricultural, University of Zanjan, Zanjan, Iran
LEAD_AUTHOR
Mohammad Reza
Nazari
nazari_eco@yahoo.com
3
Assistant Professor in Agricultural Economics, Environmental Sciences Research Institute, University of Shahid Behashti, Tehran, Iran
AUTHOR
Narges
Moradkhani
nmoradkhani@znu.ac.ir
4
Assistant professor in the economics, Faculty of Humanities, University of Zanjan, Zanjan, Iran
AUTHOR
Akhzari, D., Gonbad, M.B., & Shayesteh, K. (2014). Impact of source area desertification on dust storm emission in the western parts of Iran. Current World Environment, 9(3), 632-638.
1
Amiraslany, A. (2010). The impact of climate change on Canadian agriculture: a Ricardian approach. PhD. Dissertation, University of Saskatchewan, Canada.
2
Araya, A., Girma, A., & Getachew, F. (2015). Exploring impacts of climate change on maize yield in two contrasting agro-ecologies of Ethiopia. Asian Journal of Applied Science and Engineering, 4(1), 26-36.
3
Arvin (spanani), A., Cheraghi, S., & Cheraghi, S. (2013). Evaluation of Dust Effect on the Quantitative and Qualitative Growth of Sugarcane Varieties CP57-614. Physical Geography Research Quarterly, 45(3), 95-106. doi: 10.22059/jphgr.2013.35837 (In Farsi)
4
Azhdari, A. (2015). Identification of dust centers in khuzestan province. Geological Survey and Mineral Exploration region Ahvaz. 1-63. (In Farsi)
5
Baltagi, B. (2008). Econometric analysis of panel data. John Wiley and Sons.
6
Coster, A.S., & Adeoti, A.I. (2015). Economic Effects of Climate Change on Maize Production and Farmers’ Adaptation Strategies in Nigeria: A Ricardian Approach. Journal of Agricultural Science, 7(5), 67-84.
7
Eid, H.M., El-Marsafawy, S.M., & Ouda, S.A. (2007). Assessing the economic impacts of climate change on agriculture in Egypt: a Ricardian approach. Policy Research Working Paper; No. 4293. World Bank, Washington, DC.
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Food and Agriculture Organization (FAO). (2019). Unpublished row data. .
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10. Givehchi, R., Arhami, M., & Tajrishy, M. (2013). Contribution of the Middle Eastern dust source areas to PM 10 levels in urban receptors: case study of Tehran, Iran. Atmospheric Environment, 75, 287-295.
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11. Holzmann, R., & Jørgensen, S. (2001). Social risk management: A new conceptual framework for social protection, and beyond. International Tax and Public Finance, 8(4), 529-556.
11
12. Hoseini, S., Nazari, M., Araghinejad, S. (2013). Investigating the impacts of climate on agricultural sector with emphasis on the role of adaptation strategies in this sector. Iranian Journal of Agricultural Economics and Development Research, 44(1), 1-16. doi: 10.22059/ijaedr.2013.36064 (In Farsi)
12
13. Hsiao, C. (2014). Analysis of panel data. Cambridge university press.
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14. International Trade Centre (ITC). (2019). Unpublished row data. .
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17. Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of econometrics, 90(1), 1-44.
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19. Khaleghi, S.H., Bazzazan, F., & Madani, S.H., (2015). The Effects of Climate Change on Agricultural Production and Iranian Economy. Agricultural Economics Researches, 7(1), 113-135. (In Farsi)
19
20. Knutti, R., Rogelj, J., Sedláček, J., & Fischer, E.M. (2016). A scientific critique of the two-degree climate change target. Nature Geoscience, 9(1), 13-18.
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21. Mahul, O., & Stutley, C. J. (2010). Government support to agricultural insurance: challenges and options for developing countries. World Bank Publications.
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22. Mayer, L.I., Rattalino Edreira, J.I., & Maddonni, G.A. (2014). Oil yield components of maize crops exposed to heat stress during early and late grain-filling stages. Crop Science, 54(5), 2236-2250.
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23. Mendelsohn, R., Nordhaus, W.D., & Shaw, D. (1994). The impact of global warming on agriculture: a Ricardian analysis. The American economic review, 84(4), 753-771.
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24. Ministry of Agriculture (MAJ). (2016). Agricultural Statistics Crop year 2014-2015. Part 1: Crop Products. Ministry of Agriculture. Deputy Director of Planning and Economics, Center for Information and Communication Technology. 1-163. (In Farsi)
24
25. Mojaverian, S., Ahmadi Kaiji, S., Aminravan, M. (2015). Application of the Ricardian approach to investigating the effect of climate change on agricultural land rent. Iranian Journal of Agricultural Economics and Development Research, 46(3), 481-491. doi: 10.22059/ijaedr.2015.55521 (In Farsi).
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26. Ouedraogo, M., Some, L., & Dembele, Y. (2006). Economic impact assessment of climate change on agriculture in Burkina Faso: A Ricardian Approach. Centre for Environmental Economics and Policy in Africa (CEEPA), University of Pretoria. 1-40.
26
27. Pishbahar, E., Darparnian, S., & Ghahremanzadeh, M. (2015). Effects of Climate on Maize Yield in Iran: Application of Spatial Econometric Approach with Panel Data. Agricultural Economics Researches. 7(2), 83-106. (In Farsi)
27
28. Rezaei, E.E., Webber, H., Gaiser, T., Naab, J., & Ewert, F. (2015). Heat stress in cereals: mechanisms and modelling. European Journal of Agronomy, 64, 98-113.
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30. Sayyahi, N., Meskarbashee, M., Hassibi, P., & Shomeli, M. (2015). Effect of dust on chlorophyll fluorescence parameters and photosynthetic characters of sugarcane (Saccharum officinaruml.) in Ahvaz. Journal of plant Production Research, 22(3), 277-293. (In Farsi)
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32
33. Tesfaye, K., Zaidi, P.H., Gbegbelegbe, S., Boeber, C., Rahut, D.B., Getaneh, F., Seetharam, K., Erenstein, O., & Stirling, C. (2017). Climate change impacts and potential benefits of heat-tolerant maize in South Asia. Theoretical and Applied Climatology, 130(3-4), 959-970.
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35
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36
ORIGINAL_ARTICLE
Strategies Formulation for Development of Horticultural Crops Processing Industries in Markazi Province
Despite the capabilities of Markazi province in horticultural products, and development of related industries, the challenges such as the lack of proper strategies for development of Horticultural Crops Processing Industries, has led to failing in utilization of Value-Added Benefits of its products in the province. Therefore, the present study was conducted to formulate strategies for the development of Horticultural Crops Processing Industries in Markazi province. For this purpose, the SWOT analysis method was used in this research. The data of this survey research was collected by questionnaire and analyzed by SPSS software. The statistical population of this research include 41 managers and experts of agricultural industry and horticultural processing industry owners in Markazi province. The results showed that the high added value of horticultural industry products and the high cost of product inputs for processing industry owners were considered as the most important strengths and weaknesses respectively. The existence of national tendency at the three levels of decision-making to support of Agro-Processing industries and the need for horticultural processing industries to Capital in circulation in the working season, respectively, have been identified as the most important opportunities and threats for the development of these industries in the Markazi province. Development of Horticultural Crops Processing Industries in Horticultural production poles, modernization of horticultural processing industries and equipping them with appropriate technology and human resource empowerment in the field of horticultural industry are strategies that can development these industries in Markazi province.
https://ijaedr.ut.ac.ir/article_71316_f0e6170ae15c68735cabdd4d1b8c0d3e.pdf
2019-03-21
123
136
10.22059/ijaedr.2018.245508.668519
SWOT analysis
Marketing of raw materials
Capital in circulation
Modernization of processing industries
Abolfazl
Ranjbar
abranjbar@ut.ac.ir
1
Ph. D. Student of Agricultural Development, Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran
AUTHOR
Ghila
Daneshvar
danesh@ut.ac.ir
2
Associate Professor of Agricultural Development, Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran
LEAD_AUTHOR
khalil
kalantari
khkalan@ut.ac.ir
3
Professor of Agricultural Development, Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran
AUTHOR
Agricultural Organization of Markazi Province. (2015). deficiency of Agro-Processing industries in Markazi province. avalable onlin at; https://www.smtnews.ir/states/6248
1
Balali, H., Saadi, H. & Ghazvineh, S. (2015). Investment prioritizing of food and agricultural processing industries (case study: Hamedan County). Journal of Research & Rural Planning, 4(9), 149-159. (in farsi)
2
Barati, A. A., Nazari, M. R., & Asadi, A. (2017). A Hybrid Method (ANP-SWOT) to Formulate and Choose Strategic Alternatives for Development of Rural Cooperatives in Iran. Journal of Agricultural Science and Technology, 19(4), 757-769.
3
Bass, H. H. (2011). Mali’s Agro-Industry: A SWOT-Analysis. A Note about the Cover, 136-147.
4
Batov, G. (2006). Development of Rural Industrial Enterprise (The example of Kabardino-Balkaria). Problems of Economic Transition, 48(10), 63-69.
5
Bozorgmehr, A., Nemati, A., Rabani Nasab, H., Yavari, A., Ghorbani, M., & Heydari, M. (2013). Development Strategies for Horticultural Crops Processing Industries in North Khorasan Province Using Factor Analysis Approach to Strategic (SWOT). Agricultural Economics & Development, 27(2), 103-113. (in farsi)
6
Bricas, N. (2012). Strengths and weaknesses of Africa’s agrifood industries. Private Sector and Development, (13), 6-9.
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Da Silva, C. A. (2009). Agro-industries for development. CABI.
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David, F. R. (2011). Strategic management: Concepts and cases. Peaeson/Prentice Hall.
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26. Rahnama, A., Kalantari., Kh., Movahed Mohammadi, H. (2010). Studying Driving Forces and Hampering Factors Affecting Establishment and Development of Agro-Processing Industries in North Khorasan Province. Iranian Journal of Agricultural Economics and Development Research 18 (70),19-38. (in farsi)
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31. Wilkinson, J. & R. Rocha, 2009. Agro-industry trends, patterns and development impacts. InC. da Silva, D. Baker, A.W. Shepherd, C. Jenane, S. Miranda-da-Cruz (eds.), Agroindustries for Development, Wallingford, UK: CABI for FAO and UNIDO, pp. 46-91.
31
32. Zangi Abadi, A., Fathi, E., & Izadi, M. (2011). Spatial Distribution Analysis of Isfahan Agro-Processing Industries Using PIDI. Town and Country Planning, 3(4), 5-22. (in farsi)
32
ORIGINAL_ARTICLE
Development of AWPM Model for Determining the Economic Value of Water
Considering the quantitative and qualitative limitations of water resources, determining economic value of waters can have a significant impact on water demand and consumption management. For determine the economic value of water, a mathematical model has been developed in this research. The AWPM has been applied for Soghan in Kerman Province, Iran and water prices for each product were obtained. The highest price obtained for water from pricing method based on the type of product in the region of Sughan is 47577 (Rls / m3) for pistachios and the lowest price is 683 (Rls / m3) for potato. Also, the results of model implementation showed that the price obtained for water from methods that estimate the price of water based on the type of product and considering the factors such as the area and volume of water are more than methods that do not include product types. The features of this model are the exact calculation of agricultural water prices, the flexibility of the model and the user friendly of the model. This model can be used as a rapid and accurate tool for of agricultural water prices calculation.
https://ijaedr.ut.ac.ir/article_71317_ab48cab10996d1fc8a55e05b79046330.pdf
2019-03-21
137
146
10.22059/ijaedr.2018.248328.668530
irrigation water price
economic evaluation
demand and supply management
Mathematical model
Farima
Omidi
farimahomidi@ymail.com
1
Ph.D. in Science and Irrigation Engineering, Consulting Engineering, Tehran, Iran
AUTHOR
KUMARS
EBRAHIMI
ebrahimik@ut.ac.ir
2
Professor, Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj, Iran
LEAD_AUTHOR
hajar
fazlolahi
hajarfazlolahi@yahoo.com
3
Ph.D. Student, Department of Water Engineering, Faculty of Agriculture, University of Shahrekord, Shahrekord, Iran
AUTHOR
Aguadelo, J, I., (2001). The economic valuation of water, principle and methods, Value of water research report, series No 5.
1
Bohlolvand, A., sadr, K. & Hashemi, A. (2015). The role of agricultural water markets in the allocation and pricing of water resources (Case study: Mojen Water market). Journal of Iranian Agricultural Economics and Development Research, 45(4), 585-794. (In Farsi)
2
Cai, X., Mckinney, D.C., and Rosegarant, M.W., (2001). Sustainability Analysis for Irrigation Water Management: Concepts, Methodology and Application to the Aral Region, EPTD DISCUSSION PAPER NO. 86. Environment and Production Technology Division.
3
Cai, X., and Ringler,C., and Rosegarant, M.W. (2001). Dose Efficient Water Management Matter?Physical and Economic Efficiency of Water Use in the River Basin. EPDT Discussion Paper No.72.
4
Chizari, A., Sherzehie, GH. and Keramatzadeh, A., (2005). Determining the Economic Value of Water Considering the Optimization Programming, Case Study: Barzoo Dam-Shirvan. Agricultural Economic and Development, 71, 39-66. (In Farsi)
5
Doorenbos J, Kassam A. H. (1979). Yield response to water. FAO irrigation and drainage paper. No. 33. FAO, Rome, Italy, 193 pp.
6
Easter., (2005). Cost Recovery and Water Pricing for Irrigation and Drainage Projects. Agriculture and Rural Development Discussion Paper No.26.
7
Esmaeili Moakhar Fordoei, M.A., Ebrahimi, K., Araghinejad, Sh., Hoorfar, A. (2016). Evaluation of farmers involving the economic value of water. Journal of Iranian Agricultural Economics and Development Research, 47(1), 141-150. (In Farsi)
8
FAO World Soil Resources Report of Agro-ecological, (1978), Project I Africa.
9
Golzari Z, Eshragh F. and keramatzade A., (2017) Estimating the economic value of water in wheat production in gorgan county. Journal of Water Research in Agriculture 30(4):457-466. (In Farsi)
10
Grimble, R, J. (1999). Economic Instruments for Improving Water use Efficiency: Theory and Practice. Agricultural Water Management, 40, 77-82.
11
Hosseinzad, J. and Salami, H. (2004). The Selection of Yield Production Function for the Assessment of Economic Value of Agricultural Water, Case Study: Wheat Production. Agricultural Economic and Development, 48, 53-84. (In Farsi)
12
Johansson, R.C. (2001). Pricing Irrigation Water: A literature Survey.
13
Keramatzadeh, A., Chizari, A. and Mirzaee, A. (2006). Determinig the Economic Value of Water Using the Combined Model of Agricultural and Horticultural Cropping Pattern, Case Study: Barzoo Dam, Shirvan. Agricultural Economic and Development, 54, 35-60. (In Farsi)
14
Keramatzadeh, A., Chizari, A.H. & Sharzehi, Gh.A. (2011). The Role of Water Market in Determining the Economic Value of Irrigation Water through Positive Mathematical Programming (PMP). Journal of Iranian Agricultural Economics and Development, 42(1), 29-44. (In Farsi)
15
Kuper, A. C., Rieu, T. and Motginoul, M., (2003). Water Policy Reforms, Pricing Water Demand and Impact on Agriculture. Pricing Water Seminar.
16
17.Parhizkari and badibarzin(2017). Determination of the Economic Value of Water and Simulating Farmers’ Behvior in Takestan Region in Response to Reducing the Agricultural Water Resources. Journal of Water Research in Agriculture 31(1):105-118. (In Farsi)
17
Rodgers, C. and Hellegers, P., (2005). Water Pricing and Valuation in Indonesia: Case Study of Brantas River Basin. EPTD Discussion Paper No. 141.
18
Sawyer, D., Perron, G., and Tradeau, M. (2005). Analysis of Economic Instruments for Water Conservation. Final Report, Canadian Council of Ministers of the Environment.
19
20. Venot, J., Molle, F. and Hassan, Y. (2007). Irrigated Agriculture, Water Pricing and Water Saving in the Lower Jordan River Basin. Comprehensive Assessment of Water Management in Agriculture. Research Report, No.18.
20
ORIGINAL_ARTICLE
Studying the Effect of Social Capital on Knowledge Management in the Agriculture Jihad Organization in Alborz Province
The main purpose of this descriptive- correlative research was to study the effect of social capital on knowledge management using Structural Equations Modeling (SEM). The statistical population of the study consisted of 272 experts of the Agriculture Jihad organization in Alborz province. According to the Krejcie & Morgan table, a sample size of 213 was selected using a stratified random sampling method. The standard questionnaires were used to collect the data. The content validity of the questionnaire was confirmed by a panel of experts. The construct validity and the composite reliability of the research instrument were tested by estimating the measurement model and they were satisfied after making necessary corrections. The data were analyzed using Structural Equation Modeling multivariate technique. The results showed that social capital had a positive and significant effect on dependent variable. All in all, social capital explained about 61 percent of the variances of knowledge management in the Agriculture Jihad organization of Alborz province. Based on the findings, it could be concluded that improving social capital directly results in reinforcing knowledge management in the Agriculture Jihad organization.
https://ijaedr.ut.ac.ir/article_71319_d9a193aa9b3d23fdb0e8fcb278afe410.pdf
2019-03-21
147
160
10.22059/ijaedr.2019.130806.668068
Keywords: Knowledge management
Social capital
Agriculture Jihad organization
Experts
nafiseh
salahimoghadam
nafiseh.salahi@znu.ac.ir
1
MSc Graduate, Faculty of Agriculture, University of Zanjan, Zanjan, Iran
LEAD_AUTHOR
Rohollah
Rezaei
r_rezaei@znu.ac.ir
2
Associate professor, Faculty of Agriculture, University of Zanjan, Zanjan, Iran
AUTHOR
Hossein
ShabanaliFami
hfami@ut.ac.ir
3
Associate professor, Faculty of Economic and Agriculture Development, University of Tehran, Karaj, Iran
AUTHOR
Abbas Pour Esfeden, Q., Moshabake, A. & Hadiyan, M. (2011). The impact of social capital in the implementation of knowledge management (Case study: Islamic Republic of Iran Railway Company).Journal of Economics and Business Research, 2 (1), 23-39. (In Farsi).
1
Abili, K. & Zare Khalili, M. (2012). The relationship between organizational social capital and knowledge management in an insurance governmental company. Journal of Insurance, 28 (2), 129-152. (In Farsi).
2
Abtahi, H. & Aghaz, E. (2011). Effect of organizational culture on knowledge management (Case study: Industries and Mines Ministry). Journal of Commercial Strategies, 18 (47), 265-276. (In Farsi).
3
Ahmadi, A., Farahani, A., Bahmani, A. & Shahbazi, M. (2012). The role of social capital on improving management talents in physical education organization. Journal of Sport Management Studies, 4 (13), 237-260. (In Farsi).
4
Ahmadi, A., Koraheimoghadam, S. & Rahimi, F. (2013).The effect of knowledge management strategies on organizational innovation & performance in Jihad-e- Agriculture organization of Chahar- Mahal & Bakhtiari Province. National Conference on Knowledge Management: Present and Future, Shahid Chamran University, 24-25 April 2013, pp. 1–16. (In Farsi).
5
Ahmadvand, M.R. & Abolhasani Ranjbar, A. (2013). Knowledge management and its role in the promotion of social capital. Proceeding of International Conference on Management, Strategy and Challenges, 5 December 2012, Shiraz. (In Farsi).
6
Ali, S., Davis, W. & Lee, J. (2011). Multi-stakeholder dispute resolution: Building social capital through access to justice at the community level. Pepperdine Dispute Resolution Law Journal, 11 (2), 181-206.
7
Allameh, S. M., Zare, S. M. & Davodi, S. M. R. (2011). Examining the impact of km enablers on knowledge management processes. Proscenia Computer Science, 3, 1211-1223.
8
Alvani, M., Nategh, T. & Farahi, M. (2007). The Role of Social Capital in Knowledge Management Development. Journal of Iranian Management Sciences, 2 (5), 35-70. (In Farsi).
9
10. AmirKhani, T. & Pour-Ezzat, A.A. (2008). A look on the possibility of the development of social capital in light of organizational justice in government agencies. Journal of Public Administration, 1 (1), 19-32. (In Farsi).
10
11. Ashena, M., Asgari, N. & Monavarian, A. (2008). Structural and content dimensions for knowledge-based organizations. Proceeding of First Conference on Knowledge Management, 2-3 February 2008, Tehran (In Farsi).
11
12. Asoh, D. A., Belardo, S. & Crnkovic, J. (2007). Assessing knowledge management: Refining and cross validating the knowledge management index using SEM Techniques. International Journal of Knowledge Management, 3 (2), 1- 30.
12
13. Azam Vaziri, S., Mansouri, H. & Amrollahi, N. (2010). Improve knowledge management: The effect of social capital. Journal of Informology, 7 (28), 78-96. (In Farsi).
13
14. Basargekar, P. (2010). Measuring effectiveness of social capital in microfinance: A case study of urban microfinance program in India. International Journal of Social Inquiry, 3 (2), 25-43.
14
15. Bhatt, G. (2001). Knowledge management in organizations: Examining the interaction between technologies, techniques and people. Journal of Knowledge Management, 5 (1), 68- 75.
15
16. Bordbar, G. & Zarei, M. (2014). A study of the Impact of organizational social Capital on the improvement of knowledge management in Yazd's Welfare organization. Journal of Applied Sociology, 24 (4), 227-244. (In Farsi).
16
17. Coleman, J.S. (1988). Social capital in the creation of human capital. Am J Social, 94, 95-120.
17
18. Damury, D., Mansouri, H., & Taheri, M. (2009). The relationship between knowledge management and social capital in the Islamic University (From the opinion of faculty members of Yazd University). Journal of Management, 13 (1), 44-64. (In Farsi).
18
19. Hair, J., Black, W., Babin, B. & Anderson, R. (2010). Multivariate data analysis. New York: Prentice Hall.
19
20. Heydari, M., Moghimi, M. & Khanifar, H. (2013). Review of the effects of factors which are vital in the implementation of knowledge management. Organizational Culture Management, 11 (1), 149-184. (In Farsi).
20
21. Hinkle, D., Wiersma, W. & Jurs, S. (2003). Applied Statistics for the Behavioral Sciences. USA: Houghton Mifflin Publisher.
21
22. Hoffman, J., Hoelscher, M. & Sherif, K. (2005). Social capital, knowledge management, and sustained superior performance. Journal of Knowledge Management, 9 (3), 93- 100.
22
23. Honary. H. (2011). Design of structural equation modeling social capital and knowledge management in sports organizations. Journal of Management Sport and Movement Sciences, 1(1), 85- 105. (In Farsi).
23
24. Jiang, L. (2011). The research on how social capital facilitates knowledge sharing between individuals. Proceeding of International Conference on ICCE2011, AISC 110, 15 May 2011, pp. 261–270.
24
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26. Lin, H. (2007). Knowledge sharing and firm innovation capability: An empirical study. International Journal of Manpower, 28 (3/4), 315-332.
26
27. Mahdian Rad, A. & Fazli, S. (2011). The impact of social capital on knowledge management development (case study: tax affairs organization in the country). Journal of Tax Research, 19 (12), 291-321. (In Farsi).
27
28. Matthews, R. & Marzec, P. (2011). Social capital, a theory for operations management: A systematic review of the evidence. International Journal of Production Research, 50 (24), 1-34.
28
29. McFadyen, M., Semadeni, M. & Cannella J. (2009). Value of strong ties to disconnect others: examining knowledge creation in biomedicine. Organ Sci, 20 (3), 552- 564.
29
30. Monavarian, A., Asgari, N., Akhavan, P. & Ashena, M. (2013). Developing social capital for facilitating knowledge management practices. International Journal of Social Capital Economics, 40 (9), 826- 844.
30
31. Nahapiet, J. & Ghoshal, S. (1998). Social capital, intellectual capital and the organizational advantage. Academy of Management Review, 23 (2), 242-266.
31
32. Paswan, A. (2009). Confirmatory factor analysis and structural equations modeling: An introduction. Technical Report, University of North Texas.
32
33. Qharah Biglo, H., Amir Kabiri, A.R. & Shadi Dizaji, B. (2013). The relationship between knowledge management dimensions and organizational performance. Proceeding of 6th Conference on Knowledge Management, 6-7 March 2013, Shahid Beheshti University. (In Farsi).
33
34. Ramachandran, S.D. (2010). Knowledge management in higher education: A case study in Malaysia. Printed and Published in Malaysia by University of Teknikal Malaysia Melaka.
34
35. Ratten, V. & Suseno, Y. (2006). Knowledge development, social capital and alliance learning. International Journal of Educational Management, 20 (1), 60-72.
35
36. Reijsen, J. & Helms, R. (2011). Social capital as enabler for sustainable knowledge management. ECIS Proceedings, pp. 1-7.
36
37. Sharepour, M. (2007). Social capital and its role in social and economic life. Journal of Growth of Social Science Education, 29, 10-16. (In Farsi).
37
38. Yadollahi Farsi, J. & Rezazadeh, A. (2013). Social capital and organizational innovation: The mediating effect of entrepreneurial orientation. Journal of Community Positive Practices, 13 (2), 22-40.
38
39. Yang, H., Phelps, C. & Steensma, H. K. (2010). Learning from what others have learned from you: The positive effects of technological spillovers on originating firms. Academy of Management Journal, 53(2), 371-389.
39
40. Yousefi, A.R. & Gholami, B. (2006). The Isfahan female high school teachers' perspectives on the establishment of knowledge management in education department. Journal of Knowledge and Research in Educational Sciences, 20 (10), 29-48. (In Farsi).
40
41. Zaied, A., Soliman Hussein, G. & Hassan, M. (2012). The role of knowledge management in enhancing organizational performance. Journal of Information Engineering and Electronic Business, 4 (5), 27- 35.
41
42. Zare, H. (2012). Organizational citizenship behaviors and their relationship to social capital in the public organizations of Qom province. Journal of Management Studies, 5 (1), 79-96. (In Farsi).
42
43. Zhao, J., Ha, S. & Widdows, R. (2015). The influence of social capital on knowledge creation in online health communities. Information Technology and Management, DOI 10.1007/s10799-014-0211-3.
43
Ziaei, M.S., Monavarian, A. & Kazemi, A. (2011). The relationship between social capital and organizational preparation for the establishment of knowledge management (Case study: Iranian Steel Company). Journal of Public Administration, 3 (8), 179-198. (In Farsi)
44
ORIGINAL_ARTICLE
Factors Affecting the Sustainable Aquaculture (Case study: fishery Farms in Lorestan Province)
Today, the aquaculture industry has a special status as one of the most important economic sub-sectors in providing food security, trade, job creation and depriving rural areas of the world. This study was aimed to determine the factors affecting sustainable aquaculture in Lorestan province. This applied research is conducted in a survey method and its descriptive-correlative research type. The statistical population consisted of all fishery farms in Lorestan province. The sample size was determined by using Cochran formula. In this study, the sustainability of aquaculture farms is derived from the combination of three indicators of sustainability (ecological, economic, and social). Results show that the level of sustainability is moderate. It was also found that there is a positive and significant relationship between the farmers technical characteristics, the extensional education activities, total sustainability, the authorized use amount of disinfectants, the number of in-service training courses, the temperature of water entering the farm, the number of training courses prior to the activity and the water cost, totally explained of 44.3% of the total variations in depended variable. In order to sustainability increase of these farms, training courses about nutrition management, cost management, disinfectant management, fish farming cooperatives, and the technical considerations of fishery experts are recommended.
https://ijaedr.ut.ac.ir/article_71320_cb3b52e25b74dc1d2f2a3964c0de81e9.pdf
2019-03-21
161
171
10.22059/ijaedr.2018.243288.668500
sustainability
sustainable aquaculture
Lorestan Province
zeinab
farashi
farashizeinab@gmail.com
1
Senior student, Department of Rural Development, Lorestan University, Lorestan, Iran
AUTHOR
saeed
Gholamrezai
sgholamrezai@gmail.com
2
Assistant Professor, Department of Rural Development, Lorestan University, Lorestan, Iran
LEAD_AUTHOR
rezvan
ghanbari movahed
rghaanbari21@gmail.com
3
Assistant Professor, Department of Rural Development, Lorestan University, Lorestan, Iran
AUTHOR
Bagheri, A., Ghaffari, O., and Shaban Ali Fami., H.(2014(. Factors Affecting Knowledge of Potato Waste Management in Razan. Iranian Journal of Agricultural Economics and Development.the period 48-2, Number2, 1396)269-257(.
1
Cowx, I.G., and Aya, M.P. (2011). Paradigm shifts in fish conservation: moving to the ecosystem services concept, Journal of Fish Biology (79), 16631680.
2
Engle, C.R.)2008). Mari Culture, Economic and social Impacts. University of Arkansas at pine Bluff Pine Bluff, AR, USA.
3
FAO, 1995. Bibliographic reference: Code of Conduct for Responsible Fisheries Rome. 41 p.ISBN 92-5-103834-5
4
FAO, 2013. Studie and Reviews, Iundicators for sustainable Acuaculture in mediterran and blak sea Countries Guide for the use of indicatures to monitor sustainable development of aquaculture.ISSN 1020–9549.
5
Ghorbanipiralidehi, F., agahi, H., Zarafshani, K., and Motamed, M. 2016. Study of Educational Content Required to Promote Sustainable Aquaculture in Guilan Province. Quarterly Journal of Environmental Education and Sustainable Development.
6
Kalantari, k. (2012). Data Processing and Analysis in Socio-Economic Research by Using SPSS Software. Farhanghe Saba Publication, Tehran (In persian).
7
Lehodey, A., Alheit, J., Barange, M., Baumgartner, T., Beaugrand, G., Drinkwater, K., Fromentin, M., Hare, S.R., Ottersen, G., Perry, R.I., Roy, C., Van der Lingen, C. and Werner, F. 2006. Climate Variability, Fish, and Fisheries, Journal of Climate, Vol. 19, No. 20, PP. 5009.
8
Millar, K. & Tomkins, S. (2007). Ethical analysis of the use of GM Fish: Emerging issues for aquaculture development. Journal of Agricultural and Environmental Ethics20:437-453Springer2007. Retrieved from http://link.springer.com/article/10.1007% 2Fs10806-007-9051-z#page-1.
9
10. Muddassir,M., Ali Noor,M., Ahmed, A and Aldosari, F. (2017). Journal of the Saudi Society of Agricultural Sciences.Awareness and adoption level of fish farmers regarding recommended fish farming practices in Hafizabad, Pakistan.www.ksu.edu.sa .www.sciencedirect.com.
10
11. Nielsen, M., & Beem, B. (2007). Co-management from the top? The roles of policy entrepreneurs and distributive conflict in developing co-management arrangements. Marine Policy, 31(4), 540-549.
11
Nielsen, M., & Nielsen, R. (2015). Fisheries, aquaculture and the marine environment: Environmental challenges and regulation, with focus on nitrogen. AG Fish Workshop, Radisson Blu Falconer Hotel & Conference Center, Copenhagen, 15-16 June 2015
12
13. Pishbahar, I., & Baghestani, M. (2015). vestigating the Economic Impact of World Food Prices And oil on macroeconomic variables in Iran. Iranian Journal of Agricultural Economics and Development.the period 48-2, Number2,1396(197-209).
13
14. Pravakar, P., Sarker, B., Rahman, M., and Hossain, B. 2013, Present Status of Fish Farming and Livelihood of Fish Farmers in Shahrastiupazila of Chandpur District, Bangladesh, American-Eurasian Journal of Agriculture and Environmental Science, Vol. 13, No. 3, PP. 391-397.
14
15. Roel, H., Bosma, Marc C.J. Verdegem. (2011). Sustainable aquaculture in ponds: Principles, practices and limits Livestock science.139,(2011)58-68.
15
16. Shang, Y. C. and Tisdell, C. A. (1997). Economic decision making in sustainable aquaculture development. In: Bardach, J.E. (eds.). Sustainable Aquaculture, pp.127-148.New York, John Wiley & Sons.
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17. Solymani, A. 2011. Challenges and problems of aquaculture in country, with an emphasis on Khuzestan province, Fundamental studies office (Department of Agriculture and Natural Resources), Islamic council parliament research center, Report No. 10851.21p.
17
18. Tlusty, M.F., Rhyne, A.L., Kaufman, L., Hutchins, M., McGregor Reid, G., Andrews, C., Boyle, P., Hemdal, J., McGilvray, F., and Dowd, S. (2013). Opportunities for Public Aquariums to Increase the Sustainability of the Aquatic Animal Trade, Zoo Biology (32): 112. www.sciencedirect.com
18
19. World Bank, 2014. Improving livelihoods and creating wealth through sustainable fisheries and aquaculture in Africa. www.sciencedirect.com
19
20. Yazdani, S., Riahi, A., Paykani, Gh. (2016). Economic Analysis of Blade Cooperatives in Mazandaran Province. Iranian Journal of Agricultural Economics and Development.the period 48-2, Number2, 1396(211-226).
20
Zarifmanesh, T., Zoriyeh Zahra, J. 'using of phytobiotics in the development of sustainable aquaculture'. The first national conference on strategies to achieve sustainable development, Tehran, Great Hall of the Ministry of Interior, 6 and 7, March, 2013. (In Persian)
21
ORIGINAL_ARTICLE
Investigating the Factors Affecting the Success and Stability of Plant Clinics Activities in Southern districts of Tehran Province
This study had been conducted with the aim to investigate the role of managerial, technical and structural factors on the success and stability of plant clinics from the perspective of farmers in southern county of Tehran province. The population of study was the farmers in south of Tehran province (N = 13222). The sample size of 209 was chosen by Bartlett et al., (2001) that among the collected questionnaire 191 of them were useable. The data analysis was performed using SPSS20 and AMOS20 software’s. The descriptive result indicated that 73.3% and 50.3% of respondents respectively had assessed stability and success of plant clinic at moderate level. The result of investigate the factors influencing the success and stability of plant clinics by using structural model showed that the effect of all three managerial, technical and structural and institutional factors were significant on the level of success and stability of plant clinics. These factors explained 60% of the variance of plant clinics level of success in stability agricultural activities as well as 47% of the variance of plant clinics in their stability level among the respondents.
https://ijaedr.ut.ac.ir/article_71321_9f8079f33dfce83039acb245169fbd95.pdf
2019-03-21
173
188
10.22059/ijaedr.2019.256720.668598
Success
Stability
Plant Clinics
Tehran Province
Mohammad
Badsar
mbadsar@yahoo.com
1
Assistant Professor, Department of Agricultural Extension, Communication and Rural Development, University of Zanjan, Zanjan, Iran
LEAD_AUTHOR
Maghsud
Shahi Jajan
masuodshahi85@gmail.com
2
M. Sc. Student of rural Development, Department of Agricultural Extension, Communication and Rural Development, University of Zanjan, Zanjan, Iran
AUTHOR
Esmail
Karamidehkordi
e.karamidehkordi@modares.ac.ir
3
Associate Professor, Department of Agricultural Extension, Communication and Rural Development, University of Zanjan, Zanjan, Iran
AUTHOR
Abang, F. A., Kouamé, M. C., Abang, M., Hanna, R., and Fotso, K.A. (2014). Assessing vegetable farmer knowledge of diseases and insect pests of vegetable and management practices under tropical conditions. International Journal of Vegetable Science, 20(3), 240-253.
1
Abbasi, E., Sarami Froushani, M., Farhadian, H. & Norozi, A. (2015). Farmers’ satisfaction regarding agricultural consulting, technical and engineering services corporations in Markazi Province. Iranian Journal of Agricultural Economic and Development Research, 46 (2), 285-296. (In Farsi).
2
Andersson, H., Tago, D., and Treich, N. (2014). Pesticides and health: A review of evidence on health effects, valuation of risks and benefit- cost analysis. Reference Measurement in Health, 1- 61.
3
Baden-Fuller, C., & Haefliger, S. (2013). Business models and technological innovation. Long range planning, 46(6), 419-426.
4
Bartlett, J., Kotrlik, J., and Higgins, C. (2001), Organizational research: Determining appropriation sample size in survey research. Information Technology, Learning, and Performance Journal, 19 (1): 43-50.
5
Bentley, J. W., Boa, E. and Danielsen, S. 2009. Plant Health Clinics in Bolivia 2000-2009: operations and preliminary results. Food Security, 1(3) Pp: 371-386.
6
Bentley. J., Boa. E., Almendras, F., Franco, P., Antezana, O., Diaz, O., Franco, J., and Villarroel, J. 2011. How farmers benefit from plant clinics: an impact study in Bolivia. International Journal of Agricultural sustainability 9(3). pp: 393-408.
7
Bewsell, D. & Kaine, G. 2004. Understanding the impact of context: A new Approach to understanding the adoption of improved pest and disease management practices. Jornal of American International Agricultural Extension. In: Proceedings of the 20th Annual Conference, Dublin, Ireland: 682-693.
8
Farahmand, M., Roosta, K & Mohamad Gholinya, J. (2014). An analysis of the effectiveness of the extension activities of plant clinics in the acceptance of IPM from the Gardeners' viewpoint of South Khorasan Province in the Years 91-92. Fifth Congress of Science and Education on Agricultural and Natural Resources of Iran and the First International Conference on Village Consulting Services in Asia and the Pacific, 10-12. (In Farsi).
9
10. Henehan, B. M., Hardesty. SH., Shultz. M. and Wells, J. 2011. "New cooperative development issues" choices-the Magazine of food, farm and resource issues, JEL Classifications. Pp: 13, L22, L43.
10
11. hezar jaribi, J. (2010). Identifying and investigating the factors affecting the success of cooperatives (a case study on cooperatives in the Province of Qom). Social Development & Welfare Planning, 1(2), 83-112. (In Farsi).
11
12. Hosseini, S. S., Pakravan, M. R., Gilanpour, O., and Atghayi, M. 2012. Investigating the Effects of Protection Policy on Agriculture Sector TFP, Agricultural Economics and Development, 25 (4). Pp: 507-516.
12
13. Hosseini, S.S.; Pakravan, M.R.; Gilanpour, O.; Atghayi, M. (2012). Investigating the Effects of Protection Policy on Agriculture Sector TFP. Journal of Agricultural Economics & Development, 25 (4), 507-516. (In Farsi).
13
14. Javaheri Deljo, N., (2009). Remove subsidies of vegetable pesticides. Monthly magazine of Livestock and agro industry, 116, 17. (In Farsi).
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15. Karamidehkordi, E. & Ansari, A. (2013). An analysis of the information systems of plant health management in the world and lessons to promote Iranian agriculture. Third National Conference on Agricultural and Food Industries, Islamic Azad University, Fasa Branch. 1-3. (In Farsi).
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16. Khiabani, H., & Kochaki, A. (2002). Basics of Agricultural Ecology. Mashhad Publishing Jihad University of Mashhad University. (In Farsi).
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17. Mahdian Broujeni, M. & Ahmadvand, M. (2012). Determinants of agricultural engineering and technical consulting services firms (AETCSFs) Activities in Broujen County. Iranian Agricultural Extension and Education Journal, 8 (1), 17-33. (In Farsi).
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18. Mehrabanyan, A. & Moazzeni, S. (2008). Study subsidies paid and government credits to the agricultural sector in Iran and the experiences of other countries. Institute for Agricultural Planning and Economics Research publisher, Tehran Researches Research Processes Management. (In Farsi).
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19. Mehri, K., zarifian, Sh. & Kohestani, H. (2014) Survey of farmers’ satisfaction from the performance of agricultural engineering and technical consulting services firms in East Azerbaijan Province and the factors affecting it. Fifth Congress of Science and Education on Agricultural and Natural Resources of Iran and the First International Conference on Village Consulting Services in Asia and the Pacific. 7-11. (In Farsi).
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20. Mohebi Asfali, M. &Zamani Myandashti, N. (2014).Factors Affecting the Use of Subsidy by Members of Fars Medical Plant Clinics Using the Technology Acceptance Model (TAM). Fifth Congress of Science and Education on Agricultural and Natural Resources of Iran and the First International Conference on Village Consulting Services in Asia and the Pacific, 2-8. (In Farsi).
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21. Naderi Mahdei, K., Zanganeh, A. & Pouya, M. (2016). Pathology of Agricultural Engineering, Technical and Consulting Companies: The Case of Hamedan and Malayer Counties. Iranian Agricultural Extension and Education Journal, 12(2), 137-149. (In Farsi).
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22. Nejhadiran, F., Alavi Matin, y. & Firouzi, K. (2011). Investigating the Relationship between Intra-Organizational Factors and the Success Rate of Urmia City Credit Cooperatives. Cooperation and agriculture, 22(5), 145-161. (In Farsi).
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23. Rahimi, M. K., Zarafshani, K., Rostami, F. & Nori, M. (2015).Evaluation of the Performance of Agricultural Development Service Firms (ADSF) in Zanjan Province using AHP. Iranian Agricultural Extension and Education Journal, 10 (2), 153-163. (In Farsi).
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24. Rezaee, R., Gholifar, A., Safa, L. & Kazemi, M. (2012). Identifying barriers to development of corporate entrepreneurship in agricultural engineering and technical consulting services firms of Zanjan Province. Journal of Entrepreneurship Development, 4 (4), 27-46. (In Farsi).
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25. Rivera, M. W. and Sulaiman, R. V. 2009. Extension: Object of reform, engine for innovation. Outlook on Agriculture, 38 (3). Pp: 267–273. Ahmadpour Dariani, M., Nikbin, H. & Karimi, A. (2012). Factors affecting entrepreneurship development through agricultural advisory services corporations in Zanjan province. Iranian Journal of Agricultural Economic and Development Research, 42-2(4), 535-546. (In Farsi).
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26. Shafter, M. E. A., Ghnaem, S. S. & Adelmotleb, F. (2016) The roles of management to increase efficiency for employees and interconnected with good leadership. IOSR Journal of Business and Management (IOSR-JBM). 18( 11): 8-14.
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27. Shaviklo, N., Hosseini, S. M. & Pouratashi, M. (2015). Problems of agricultural engineering and technical advisory services companies, from viewpoints of company’s administrators (Case study: Qazvin Province). Iranian Journal of Agricultural Economic and Development Research, 46 (1), 43-50. (In Farsi).
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28. Sleigh, H. & Beglarian, M. (2005). Investigating the Attitude of Top Managers of National Jihad-e Keshavarzi Organizations in Iran toward Privatized Agricultural Extension Services. Journal of Science and Technology of Agriculture and Natural Resources, 8 (4):17-29. (In Farsi).
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Zarafshani, K., Alibeygi, A. H., Ranjbar, Z. & Soleymani, A. (2012). Assessing Farmers’ Expectations from Members of Agricultural Engineering and Consulting Firms (Case Study: Islam-Abad –e-Gharb Township, Kurdistan, Iran). Journal of Rural Research, 2 (7), 125-144. (In Farsi)
29
ORIGINAL_ARTICLE
Identification and Priority Setting of Alternative Mechanisms of Commercialization of University Agricultural Research
This two-phase research aimed to identify and prioritize alternatives of commercialization of university agricultural research. By a three-round Delphi study, the first phase was conducted in order to identify alternatives and criteria of alternative mechanisms for commercialization of university agricultural research. Using AHP, 6 alternatives and 8 criteria of commercialization of university agricultural research were prioritized in the second phase. Respecting these alternatives and criteria, a decision making tree was outlined. Data was collected through pair wise comparison 15 questionnaires filled by a sample of experienced agricultural faculty members and Expert Choice software used to analysis data. Based on the relative weight, the alternatives prioritized as: (1) Joint venture between university and industrial and private sector for developing and commercial exploiting of university research and technology, (2) Setting up a firm for commercial exploitation of university research and technology (Spin off), (3)Sale of intellectual property rights arising from university research, (4)Licensing patents arising from university research, (5) Delivering engineering and technical services and, (6) Setting up a firm by faculty members for commercial exploitation of university research and technology (start up or Spin out).
https://ijaedr.ut.ac.ir/article_71322_75038ec69513d2d4a0ac67e8ec45a568.pdf
2019-03-21
189
200
10.22059/ijaedr.2018.270404.668682
University Agricultural Research
Research Commercialization
Alternative Mechanisms
Delphi
AHP
Mehnoush
Sharifi
m_sharifi@ut.ac.ir
1
Graduate PhD., Department of Agricultural Extension and Education, Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran
AUTHOR
ahmad
rezvanfar
arezvan@ut.ac.ir
2
Professor, Department of Agricultural Extension and Education, Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran
LEAD_AUTHOR
Seyed Mahmood
Hosseieni
hoseinim@ut.ac.ir
3
Professor, Department of Agricultural Extension and Education, Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran
AUTHOR
Seyyed Hamid
Movahed Mohammadi
hmovahed@ut.ac.ir
4
Professor, Department of Agricultural Extension and Education, Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran
AUTHOR
Davies J.(1987). The entrepreneurial and adaptative university: characteristics of its organization and operation. Int J Inst Manag High Educ 2(1):102–104
1
Davodi H, Shabanali Fami H, & Kalantari K. (2012). An Investigation of Technology Development Barriers in Agricultural Science and Technology Parks of Tehran University. Journal of Science and Technology Policy; 4 (2) :1-10(In Farsi).
2
Etzkowitz, H & Leydesdorff L. (2001). Universities and the Global Knowledge Economy, Continuum, London, 2001.
3
Etzkowitz, H. (2003). Research groups as ‘quasi-firms’: the invention of the entrepreneurial university. Research Policy 32:109–21.
4
Etzkowitz, H., Webster, A., Gebhardt, C., & Terra, B.R.C.,(2000). The future of the university and the university of the future: evolution of ivory tower to entrepreneurial paradigm. Research Policy 29 (2), 313–330.
5
Fakour B, & Haji Hosseini H. (2008). Academic Entrepreneurship and commercialization of research results in Iranian universities (Case study of seven Iranian universities). Journal of Science and Technology Policy; 1 (2) :59-71(In Farsi)
6
Ghazinoori S, & Ali Hamadi A. (2008). Prioritizing policy instruments for supporting new technology-based firms in Iran, using a fuzzy MCDM model. ,Journal of Science and Technology Policy;1(3) :73-79 (In Farsi).
7
Ghodsipour, S. (2000). Analytical Hierarchy process (AHP), Amirkabir University press (3th ed) (In Farsi).
8
Hooman, H.A. (2000). Statistical Inference in Behavioral Research. Tehran: Parsa Publsher, 576p. (In Farsi).
9
10. Jacob, M., Lundqvist, M. & Hellsmark, H. (2003). Entrepreneurial transformations in the Swedish University system: the case of Chalmers University of Technology. Research Policy, Vol.32, pp. 1555-1568.
10
11. Link, A. N., & Siegel, D. S.(2005). University-based technology initiatives: Quantitative and qualitative evidence. Research Policy, 34, 253–257.
11
12. Litan, Robert E., Mitchell, Lesa, & Reedy, E.J.(2007). Commercialization University Innovation: Alternative Approaches. Commercializing University Innovations: Alternative Approaches. NBER Working Paper. JEL No. O18,13,033, 034, 038
12
13. Mowery, D. C., & Ziedonis, A. A. (2002). Academic patent quality and quantity before and after the Bayh–Dole Act in the United States. Research Policy, 31, 399–418.
13
14. O’Shea, R. P., Allen, T. J., Chevalier, A., & Roche, F.(2005). Entrepreneurial orientation, technology transfer and spinoff performance of U.S. universities. Research Policy, 34(7), 994–1009.
14
15. Pasha Sharifi, G., & Najafi Zand, H.(2006). Statistical Methods in Social Sciences, Tehran, Sokhan Publications, 383p. (In Farsi).
15
16. Saaty. T. L. (1990); Decision Making For Leaders, RWS Publications, USA
16
17. Seigel, S. (2004). Non-parametric statistic for the behavioral science. Translated by Karimi, Y. Second edition. Allameh Tabatabaei University publication. Tehran, 384 p. (In Farsi).
17
18. Siegel, D. S., Wright, M., & Lockett, A.,(2007), "The rise of entrepreneurial activity at universities: organizational and societal implications"; Industrial and Corporate Change 16: 489-504.
18
19. Umam, Kh. (2008), Higher education institution and technology transfer. School of Business Management, ITB.
19
World Bank (2007), Enhancing Agricultural Innovation: How to go beyond the strengthening of research systems. Washington DC, USA: World Bank.
20
ORIGINAL_ARTICLE
The Investigating of Factors on Rural Tourism Management Strategy by Using SWOT Technique and QSPM Matrix in Kermanshah Province
The present paper was done by using of survey method, field studies and determining strengths, weaknesses, opportunities and threats method (SWOT) to provide strategies for sustainable development of tourism in rural areas of Kermanshah province. For this purpose, at the first, the internal and external factors affecting on rural tourism management in Kermanshah province were identified and in the next step, the QSPM matrix was analyzed and formulated. The validity of the research tool was confirmed by the experts and its reliability was calculated by the Cronbach's alpha coefficient. The survey population included 50 persons of experts and managers of the Cultural Heritage and Tourism Organization of the Kermanshah province, that 17 person of them were purposely selected. Findings of the research showed that among the four strategies in order to develop rural tourism from the point of view of statistical population, offensive strategies are the most appropriate strategy. According to the results of the quantitative strategic matrix, we can consider the following strategies in order to manage the more effective rural tourism. The priority order of strategies is based on the overall weight and weight of those in modification and motion toward sustainable development. For example, "review for optimal and objective use of tourism benefits" strategy has a high appeal in terms of impleentation of sustainable rural tourism management. Also, the results showed that according to the managers and experts views, the central strategy is a revision strategy with 3.61 score (WO).
https://ijaedr.ut.ac.ir/article_71323_c0def692832ec1f2321a18c3c870cf42.pdf
2019-03-21
201
218
10.22059/ijaedr.2019.250773.668551
Rural Tourism
SWOT
Sustainable Tourism
Kermanshah province
Abdohmotaleb
Rezaei
abrezaei@ut.ac.ir
1
Assistant Professor, Department of Agricultural Extension and Education, Faculty of Agrucultural Economics and Development, University of Tehran, Karaj, Iran
LEAD_AUTHOR
sara
jalilian
sjalilian68@yahoo.com
2
PhD. Student, Department of Agricultural Extension and Education, Faculty of Agrucultural Economics and Development, University of Tehran, Karaj, Iran
AUTHOR
Aazami, Moses, Hashemi-amin, Nahid (2012). Tourism Impacts on Rural Sustainable Livelihoods (Case Study: Volhmand Dareh and Torkin Abad Villages in Hamedan). Journal: Geographic Quarterly of Tourism Space: Summer 2012, Volume 6, Number 23; From page 99 to page 114. (In Farsi)
1
Aazami, Moses; Hashemiamin, Nahid; Soroushmehr, Homa (2013). Strategic Compilation of Zaydar Village Tourism Using Swot Technique (Case Study: Noor Village in Sanandaj). Volume 5, Issue 17, Winter 2013, Page 83-108. (In Farsi)
2
Abedinzadeh, N., Abedinzadeh, F. And Abedi, T., (2011). Study of Strategic Factors of Waste Management in Rasht Using SWOT and QSPM Matrix Formation. Ecology, Thirty-seventh year, No. 57, Spring 90, pp. 93-104.(In Farsi)
3
Amiri, Saba, Ehsanifar, Tahmineh, Naderi, Nader and Rostami, Farahnaz (2016). A conceptual model for assessing the impact of agricultural tourism on rural entrepreneurship development. Entrepreneurship in Agriculture. Volume 3, Issue 1, Spring 2016. http://jead.gau.ac.ir (In Farsi)
4
Azkia, M., Zare, A., Imani, A. (2008) Approaches and methods of qualitative research in rural development, First edition, Tehran, Iran.(In Farsi)
5
Badri, Seyed Ali; Rezvani, Mohammad Reza; Torabi; Zabiholallah; Malakan, Ahmad (2016); Metasut, An Instrument for Sustainable Tourism Planning (Case Study: Mighan Village). Journal of Planning and Development. Year 4, No. 13, Summer 1394. Pages 50- 29. (In Farsi)
6
Bahrami, R. (2010). Evaluation function and bottlenecks in rural tourism development in Kurdistan: 4th International Congress of The Islamic World Gograers ICIWG. Iran, University Sistan and Baluchestan.
7
Bomanian, M. and Mahmoudinejad, H. (2009). The Basics of Horrizi Program and Development of Rural Tourism, Tehran, Hale Publishing: Tahan. (In Farsi)
8
Brelik, A. (2011). Agri-tourism activity as example of diversification of agriculture, Oeconomia, 10(2): 19–27.
9
10. Ghodami, Simin, Fatemi, Seyyed Mohammad Mehdi (2010). Strategic Evaluation of Tourism Development Capabilities: A Case Study of Fereydunkenar City. Journal of Applied Research of Geographic Sciences, Vol. 16, No. 19, Winter 2010. (In Farsi)
10
11. Hadipour M., Lasmipour, R. And Ismaili, A. (2015), participatory management of rural tourism and its role in sustainable development. Place of publication: Third National Conference on Tourism, Geography and Sustainable Environment Accessibility: http://www.civilica.com/Paper-TGES03-TGES03_078.html.(In Farsi)
11
12. Haji Nejad, A., Rahimi, D. And Taghizadeh Z. (2013) Development of a Strategic Tourism Development Program in Sample Rural Tourism Types (Case Study: Hajij Village Typical Village in Paveh), Aims of the Land, Fifth, First Issue, Spring, Summer, 2013, p. 78-51. (In Farsi)
12
13. Hanger, J. and Violin, T. (2005). Basics of Strategic Management, Translation: Seyed Mohammad Arabi and Davoud Izadi, Cultural Research Center, Tehran.(In Farsi)
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14. Hawaii Sunni, M. K (2014) The second-best and best attraction to attract tourists to the country Available at: 2872 http://mizanonline.ir/fa/content/. . Retrieved 13 March 2014. (In Farsi)
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15. Heidari Sarban, V. (2015) Investigating the Impact of Tourism on Promoting Social and Psychological Abilities of Villagers (Case Study: Meshgin Shahr), Tourism Planning and Development, No. 16: 165-163. (In Farsi)
15
16. Hejazi Zadeh, Zahra; Rajaee Razi, Mohammad Ali; Hosseini Amini, Hassan (2013). Understanding the strengths and weaknesses of rural tourism development, Case study of rural ecosystems Abyaneh - Isfahan, Journal of Planning and Development of Tourism; Year 2, No. 5, Summer 2013; pp. 50-76 (In Farsi)
16
17. Heneghan, M., (2002). Structures and processes in Rural Tourism, Athenry: Rural Development Centre, 2002.
17
18. Hosseini, A., Pourahmad, A., Hatami Nejad, H. And Rezaei Nia, h. (2013), Strategies for organizing the texture of Ghetariye neighborhood erosion using QSPM method. ten years/ No 24/ 2013/ Presentation of texture management strategies for Ghateiryah neighborhood using 79 / QSPM method.(In Farsi)
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19. Imanty Fshlaq, S. And Hashemi, S. (2009) The Role of Entrepreneurship in the Sustainable Development of Tourism, Work and Society, Issue 106 and 107: 94-105.(In Farsi)
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20. Izadi, N., Ataei, P .2013. Rural Entrepreneurship and the Role of Agricultural Promotion and Education in its Development. Agricultural Engineering and Natural Resources Engineering System, 34-30. (40) 11. (In Farsi)
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21. Jahedi, Fatemeh (2007), The role of tourism in the development of Gorgan region, senior lecturer at Tehran University, Tehran. (In Farsi)
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22. Johnson, G., K., shcoles, R.W., sexty. E. (1986). Exploring strategic management. Scarborough, prentice-Hall, Ontario, pp.345.
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23. Kadivar, Ali Asghar, Mousavi, Mohammad (2012). Investigating the capabilities and bottlenecks of the mountainous mountains for sustainable development using the SWOT model (Case: Kardeh valley north of Mashhad), Geography and Development, No. 28, Autumn 2012, pp. 67-78. (In Farsi)
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24. Karami, Fariba, Sharifi, Roghiye (2013). Rural Tourism Evaluation Using SWOT Model Case Study: Villages in Maragheh Central District. Journal of Geochemistry and Geography and Planning, Year 17, No. 446, Winter 2013, pages 196- 173. (In Farsi)
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25. Khatoon Abadi, S. A. And the Rastt Qalam, M., (2011). Measurement of Four Rural Tourism Pillars Using SWOT (Case Study: Tourism Target Villages in Chaharmahal va Bakhtiari Province), Journal of Agricultural Economics and Development (Agricultural Sciences and Technology), Volume 25, Issue 3, Autumn 2011, Pages. 338-330. (In Farsi)
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26. Kobayashi, H. and Akhmad, A. (2011), Rural Tourism and Sustainable Development in Hokkaido, Division of Urban and Environmental Engineering.
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27. Kremen, C., and A. Miles. 2012. Ecosystem services in biologically diversified versus conventional farming systems: benefits, externalities, and trade-offs Ecology and Society 7(4): 40. http://dx.doi.org/10.5751/ES-05035-170440
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28. Lane, B. (2009). Rural tourism: an overview. In T. Jamal, & M. Robinson (Eds.), The AGE handbook of tourism studies. London: Sage Publications.
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29. Lordkipanidze, M., Brezet, H., and Backman, M. 2005. The Entrepreneurship Factor in Sustainable Tourism Development. Journal of Cleaner Production, 13(8): 787-98.
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30. Lotfi, h. Hemmati, R. Pourali, R. An Effective Pattern for Sustainable Development of Rural Tourism:(A Case Study: Kandovan). Iranian Journal of Tourism & Hospitality. Islamic Azad University, Garmsar Branch Vol 1, No 1, Summer 2010.
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31. Mahmoudi, B., Haghsetan, A. & Maleki, R. ( 2011). Investigation of obstacles and strategies of rural tourism development using SWOT matrix. Journal of Sustainable Development, 4(2), 136-141.
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32. Mei, yan (2009) “Research on Rural Tourism Development Based on the New policy of Land Circulation”. Collage of Earth Sciences, Changdu university of Technology, Chengdu 610059, china.
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33. Mohammadi, Saadi (2005), The role of tourism in rural development Case Study of Zaribar Marivan Village. Master thesis of Tehran University, Tehran. (In Farsi)
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34. Motaei Langroudi Seyed Hassan, Heidari Zahra (2013). Explaining Agricultural Tourism Abilities Based on Tourists' Viewpoints (Case Study: Baladeh County, Tonekabon County), Quarterly Journal, Programming and Development of Tourism, No. 3, 2013. (In Farsi)
34
35. Movahedi, M. M., Abūi Mehrizi, M. H And Hosseini, AS. M. (2012), as a Tool for SWOT Planning in Strategic Strategic QSPM Analysis (Case Study: SAIPA Automotive Division). Management Quarterly, Ninth Year, No. 28, Winter 2012.(In Farsi)
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36. Najafi Kani, Ali Akbar, Motiee Langroudi, Hassan; Najafi, Kobra (2008), "Feasibility of Ecotourism Development in Rural Areas Using the SWOT Analytical Model (Amol City), Geography and Development Magazine, Sixth Year, No. 19 & 18, p. 137 -121 . (In Farsi)
36
37. Noahgahar, Ahmad; Hosseinzadeh, Mohammad Mahdi, Persia, Asma (2008), "Evaluation of Qeshm Island Authenticity Capabilities Using the SWOT Strategy Model", Geography and Development Magazine, No. 15, Zahedan University, Pages 172-151. (In Farsi)
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38. Nouri, Gholamreza; Taghizadeh, Zahra; Shirani, Ziba (2012). The Role of Iran in the Therapeutic Tourism of the Islamic World with Emphasis on Nature Therapy (Functions, Challenges and Solutions). Quarterly Journal of Geographical Space Tourism, Summer 2012, Volume 1, Issue 3, Pages 1- 19. (In Farsi)
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41. Rokn al-Din Eftekhari, A., Mahdavi, D., Akbari Samani, N. (2013). Presentation of Strategic Planning Pattern for Sustainable Rural Tourism Development (Case Study: Small Lavasan Village), Human Geography Research, 45 (1). (In Farsi)
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42. Rokn al-Din Eftekhari, AS. R And Mahdavi, d. (2006) Rural Tourism Development Strategies Using SWOT Model (Lavasan Village Small), Quarterly Journal of Humanities, Vol. 10, No. 2, Summer 2006.(In Farsi)
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43. Sagjay, M., Alizadeh, D. (2010). An Investigation of Rural Tourism Product in Pave County, Geographic Space Science and Research Quarterly, (41) 1. (In Farsi)
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44. Sharpley and Vass,) 2006(.Tourism, farming and diversification: An attitudinal study. Tourism Management. Volume 27, Issue 5, October 2006, Pages 1040-1052
44
45. Somoni-Qutb Abadi, Sahar, Torabi-Farsansani, Neda, Shafiei, Zahed, Bazrafshan, Morteza and Ghaffari, Sidraiman (2017). Identification of Agricultural Tourism Capacity in Jahrom County Using the Toze Model. Journal of Entrepreneurship in Agriculture, Vol. 4, No. 2, Summer 2017. (In Farsi)
45
46. Srivastava, P. K., .2005. singh, stakhobler- based swot a hahgsistor successful municipal solid waste management in lucknow , India waste management 25,PP. 34-38.
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47. Su, B. (2011). Rural tourism in China, Tourism Management, 32: 1438-1441.
47
48. Su, B. 2011. Rural Tourism in China. Tourism Management, 32(6): 1438–41.
48
49. Taghavi, M., Pour Soleimani, AS. 2009 Factors Affecting the Growth of the Tourism Industry in Iran. Economic Research. 9 (3): 157-172. (In Farsi)
49
50. Tavlaee, S., Riahi, and. , Afrakhteh, h (2013) Investigating the Capabilities and Strategies for Rural Tourism Development in the Qak District of Qom Province, Human Geography Research, Volume 45, Number 4, Winter 2013, Pages 103-118. (In Farsi)
50
51. Turkaman Nia, N. Bahrami, S. And Azizi, p. (2011) Tourism Assessment of the Kang Village Using the SWOT Model, Tourism Quarterly and Future Outlook, 2010, No. 1, Winter 2011, pp. 105-89. (In Farsi)
51
52. Varesi, Hamid Reza;Taghvaei, Masoud, Sharifi, Nasrin; (2015). Spatial Analysis and Optimal Locating of Urban Green Spaces (Case Study: Najaf Abad City, Journal of Urban Planning and Research, Summer 2015- No. 21, pp. 51-72. (In Farsi)
52
53. World Tourism Organization (WTO). (2004). Indicators of Sustainable Development for Tourism Destinations: A Guidebook. World Tourism Organization, Spain.
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54. World. Torism Organization ,(2009). Tourism Highlight editions.
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55. Zarabi, A., Mahbobfar, M. R., (2013). Application of the SWOT-QSPM Model in the Development of Tourism Development Strategy of Kashan. Journal of Space Planning (Geography). Third year, number four, successive 11, winter 2013. (In Farsi)
55
56. Zarabi, A., Mohammadi, M. A.S. J., Firoozi, M. G., (2011). Planning Tourism Development Using SWOT Model (Case Study: Noorabad Mamsani Town), Scientific Journal of Spatial Planning, Vol. 1, No. 2, Autumn 2011, pp. 1-24. (In Farsi)
56
57. Movahed, Ali; but Nepour, Saeed; Zarei, Reza (2012). Evaluation of tourist resorts around metropolitan cities by combining the AHP and SWO model; Case study of the tourist resort of Malaqah, Urban and Regional Studies and Research, Fourth Year, No. 15, Winter 2013, pp. 74-53. (In Farsi)
57
ORIGINAL_ARTICLE
Investigating the Effectiveness of Extension Agent in Kermanshah Township
Considering the dispersion of rural areas and the need of extension network establishment in these areas, the extension agent plicy was founded by extension deputy of agricultural ministry. This project also facilitate the extension and education services. This study was aimed to investigate the effectiveness of extension agent project in Kermanshah Township. This research is a practical research and gathering data was done in a survey way, and of course this research is categorized as an evaluation research. The statistical population of the study was extension agents in Kermanshah township in 1395 (N=443), which 205 of them were selected by Krejsi and Morgan table through stratified random sampling. A designed questionnaire was used to collect data, its validity was confirmed by academic experts and its reliability was confirmed using Cronbach’s alpha (Cronbach’s alpha for all of the goals was higher than 0.7). SPSSver21 software was used to analyze data. The results of the research showed that the project of extension agents in Kermanshah did not achieve its goals successfully, in other words its effectiveness was moderate (46.27 %). Therefore, it is necessary to take essential steps for identifying and resolving the current problems, in order to improve the effectiveness of the project.
https://ijaedr.ut.ac.ir/article_71324_b01108daf9d14accaf0e7fb59e735c27.pdf
2019-03-21
219
229
10.22059/ijaedr.2019.231425.668416
: effectiveness
Kermanshah Township
Extension agent
Ali
Asadi
aasadi@ut.ac.ir
1
Professor, Department of Rural Management and Development, University of Tehran, Karaj, Iran
LEAD_AUTHOR
Mostafa
Moradi
moradi.mostafa@ut.ac.ir
2
PhD Student, Agricultural Development, Department of Rural Management and Development, University of Tehran, Karaj, Iran
AUTHOR
Adib, S., & Roosta, K, (2009). Analysis of Structures Affecting job motivation extension agent (The Case of South Khorasan province, Third Congress of Agricultural Extension and Education Sciences, Mashhad, Iran Association of Agricultural Extension and Education) (In Farsi).
1
Agricultural Jihad Organization of Kermanshah. (2016). Agricultural Broadcasting county of Kermanshah.
2
http://www.kermanshah.maj.ir/HomePage.aspx?TabID=5021&Site=kermanshahsite&Lang=fa-IR
3
Amini, A., Shahsavan, M., & Zeinal Hamedani, A. (2009). Success Factors Evaluation of Women as Extension Help Agents in Isfahan Province; Journal of science and technology of agricultural and natural resources water and soil science, 12 (46) 12 (46), 250-270 (In Farsi).
4
Anonymous. (2003). Appropriateness of training and visit extension method for rained agriculture. Internation fund for Agricultural Development (IFAD) available online http://www.ifad.org.
5
Horne, P. and S. Warner. 1998 .participatory approaches to agricultural technology development in sloping land. available online. http://www.agent.org/library/eb456.html.
6
Mooko, N. P. (2006). The information behaviors of rural women in Botswana. Library & Information Science Research, 27(1), 115-127.
7
Moridalsadat, P., Asadi, A., Sadeghi Fatollah, A. (2007). Investigating the effectiveness of the facilitators of rural women in the county of Damavand, Journal of Agricultural Sciences Iran, vol2-38, No2. 301- 309.
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