ORIGINAL_ARTICLE
Evaluating Economic, Social and Environmental Impacts of Tangab dam and irrigation network, Firuzabad Fars
Due to the increasing global concerns about the increasing social instability in agricultural development projects in rural areas, the main purpose of this study was to evaluate the economic, social and environmental impacts of Tangab dam and irrigation network in Firuzabad. Accordingly, economic criteria and multi-criteria analysis approach was applied for determining non-economic Impacts of the dam. The results demonstrated that for discount rate of 12%, the Net Present Value is 4.1×108 billion rails, Internal Rate of Return of the project is 25.42. In addition, Sensitivity analysis for discount rate various, changing benefits and cost and different project age revealed that the project was economically reasonable. Furthermore, the multi-criteria analysis demonstrated that the most significant positive impacts of the project were: improving the agriculture of the region, increasing the level of groundwater, flood control, improving the climate of the region, increasing value of the area, tourism conditions improvement, and developing the water sports. Also, the most important negative impacts of the project were caused by: the dam construction, embankment and excavation, digging tunnels and building new roads, cutting down trees and environmental damage, land acquisition and displacement and resettlement of people. In general, multi-criteria analysis indicated that the positive impacts of the Tangab dam project were more significant than the negative impacts.
https://ijaedr.ut.ac.ir/article_62739_10141c6236f66bc7142613423cb5ee9d.pdf
2017-06-22
179
195
10.22059/ijaedr.2017.62739
Economical and social evaluation
Net Present Value
Internal rate of return
Tangab dam
Firuozabade Fars
مریم
گلباز
m.golbaz77@gmail.com
1
دانش آموخته مدیریت کشاورزی دانشکده کشاورزی دانشگاه تبریز
AUTHOR
بهمن
حیدری
soheil.management@yahoo.com
2
دانش آموخته مدیریت کشاورزی دانشکده کشاورزی دانشگاه تبریز
AUTHOR
جواد
حسین زاد فیروزی
j-firoozy@yahoo.com
3
عضو هیئت علمی گروه اقتصاد کشاورزی دانشکده کشاورزی دانشگاه تبریز
AUTHOR
باب اله
حیاتی
b-hayati@tabrizu.ac.ir
4
عضو هیئت علمی گروه اقتصاد کشاورزی دانشکده کشاورزی دانشگاه تبریز
AUTHOR
Farshid
Riahi
farshidriahi@ut.ac.ir
5
دانشجوی اقتصاد کشاورزی پردیس کشاورزی و منابع طبیعی دانشگاه تهران
LEAD_AUTHOR
Amirnezhad, H. & Rafiee, H. (2009). Assessment of economic and financial integration of rural land in Mazandaran Haraz Plain. Journal of Rural Development, 12(4), 99-123. (In Farsi).
1
Bacon, R. & Jones, J. (1998). Estimating construction costs and schedules, Energy Policy, 26(4), 317- 333.
2
Berkun, M. (2010). Hydroelectric potential and environmental effects of multi dam hydropower projects in Turkey. Energy for Sustainable Development, 14(4), 320-329.
3
Bodaghpor, S. & Jadidi, E. (2008). Major environmental impacts of dam construction. Fourth National Congress of Civil Engineering, May 2008, Tehran University.
4
Bohlen, C. & Lewis, L. (2009). Examining the economic impacts of hydropower dams on property values using GIS. Journal of Environmental Management, No. 90, 258–269.
5
Brown, P. & Tullos, D. and Tilt, B. and Magee, D. and Wolf, A. (2009). Modeling the costs and benefits of dam construction from a multidisciplinary perspective. Journal of Environmental Management, No. 90, 303–311.
6
Darikvandi, F. (2008). Evaluate the effects of socio-economic development plan Rimmelleh. Journal of Rural Development, 11(1), 173-198. (In Farsi).
7
Ghahramani, H. (2004). Economic evaluation methods for road projects in member countries Pyark. Department of Education, Research and Technology, the Secretariat of the World Assembly (Pyark) in Iran. (In Farsi).
8
Gleick, P. H., & Ajami, N. (2014). The World's Water Volume 8: The Biennial Report on Freshwater Resources (Vol. 8). Island Press. Ch. 1, pp. 1-15.
9
Golrang, B., Mashayekhi, M. & Habibi, M. (2008). Economic assessment of the construction of the breakwater on the river Lar (Tehran). Geographical Research, No. 85, 114- 138. (In Farsi).
10
Golrang, B., Ghoddosi, J. & Mashayekhi, M. (2007). Economic assessment of watershed management operations carried out in the catchment dams (Case Study: Watershed Dam Shahid Yaghobi, Torbat Heydarieh, Khorasan Razavi). Geographical Research, No. 83, 93-110. (In Farsi).
11
Hansjurgens, B., Droste, N., & Tockner, K. (2016). Neglected Values of Major Water Engineering Projects: Ecosystem Services, Social Impacts, and Economic Valuation. In Society-Water-Technology. Springer International Publishing. pp. 65-78.
12
Juwono, P. (2011). Evaluation of Water Price Due to Sediment Dredging at Wlingi Dam- Indonesia. Journal of Basic and Applied Scientific Research, 1(7), 764-769.
13
Kitinger, P. (1996). Economic analysis of agricultural plans. Compilation Kopahi, M., (5th ed.), Publication of Tehran University. (In Farsi).
14
Mansur, A. (2015). Impact of Gafan Dam Construction and Its Adverse Socio-Economic Effects on Bunkure Local Government Area of Kano State. International Journal of Innovative Research and Development, 4(3), 371-375.
15
Maredia, M. & Raitzer, D. (2012). Review and analysis of documented patterns of agricultural research impacts in Southeast Asia. Agricultural Systems, 106, 46–58.
16
Mehta, V. M., Knutson, C. L., Rosenberg, N. J., Olsen, J. R., Wall, N. A., Bernadt, T. K., & Hayes, M. J. (2013). Decadal climate information needs of stakeholders for decision support in water and agriculture production sectors: A case study in the Missouri River Basin. Weather, Climate, and Society, 5(1), 27-42.
17
Ministry of Agriculture. (2012). style technology and economic assessment. The research, education and agricultural extension, research assistant, commercialization and technology transfer office, October 2012. (In Farsi).
18
Ministry of Energy, Iran Water Resources Management Company, (2011). Instructions economic survey of water resources development plans (first revision), No. 365(A), August 2011, Department of Water Affairs and Abfa, office engineering and technical criteria Water and Abfa. (In Farsi).
19
Mirzaee, A., Madani, M. & Asadollahi, M. (2011). Socio-economic impact of cooperatives Ab’Baran North Khorasan (Case Study: Barzoo Shirvan dam), The first national conference on new approaches to public participation in the study, construction, utilization and maintenance of irrigation and drainage networks, 493-503. (In Farsi).
20
Mohtashami, N., Saleh,I., Nazari, M.R. And Rafiee, H. (2014). Evaluation of environmental damage in the province of Alborz dam Mazandaran using the choice test. Agricultural Economic, 8(4), 127-153.
21
Nasirzadeh, F. (2006). Review and evaluation of the economic plans of the companies covered by the government. Journal of Knowledge and Development, 19(2), 171-197. (In Farsi).
22
Oskonezhad, M. (2010). Engineering Economics, (35th ed.). Amir Kabir University, Tehran: p.455. (In Farsi).
23
Pakzad, F. (2003). Economic evaluation of investment projects. Publication of Hirmand. (In Farsi).
24
Haghighi, S., Zare, M. & Lashkaripor, GH. (2006). Investigate various strategies to curb rising underground water level drop in the plains of Firozabad. the tenth meeting of the Geological Society of Iran, Tarbiat Modarres University, 31- 42. (In Farsi).
25
Shadmani, S. & Saleh, I. (2007). Evaluation of methods used in assessing the economic and financial plans of investment in the agricultural sector. the sixth conference of Agricultural Economics, 65-84. (In Farsi).
26
Shahidian, H., Hoseini, KH. & Afraz, M.A. (2009) . Environmental Assessment dams. technical journal, research Engineering, 11( 43). (In Farsi).
27
Shayan, H., Javan, J. & Kodivar, A. (2009). Analysis of the social, economic and environmental dams Kardeh and Bidouaz Esfarāyen Mashhad, Journal of Geography and Regional Development, 13(2), 19-43. (In Farsi).
28
Soleymanipor, A. & Bagheri, A. (2007). Economic evaluation wells mix with water channels for water supply on good quality in saline lands of Isfahan. the sixth conference of Agricultural Economics, University of Mashhad. (In Farsi).
29
Soltani, Gh. (2003). Engineering Economics. (50th ed.), Publishing Center Shiraz University. (In Farsi).
30
Statistical Center of Iran. http://www.amar.org.ir, Iran. (In Farsi).
31
Tilt, B. and Braun,Y. & He, D. (2009). Social impacts of large dam projects: A comparison of international case studies and implications for best practice. Journal of Environmental Management, No. 90, 249–257.
32
The final report of the dam Tangab exploitation. (2012). Fars Regional Water Authority (In Farsi).
33
Tsakomakas, N., Pilavachi, P. & Polyzakis, A. (2012). An economic comparison assessment of lignite and biomass IGCC power plants. Applied Thermal Engineering, No. 38, 26-30.
34
Tullos, D. (2009). Assessing the influence of environmental impact assessments on science and policy: an analysis of the Three Gorges Project. Journal of Environmental Management, 90, S208-S223.
35
Yahyavi, H. (2001). Economic evaluation of agricultural schemes. Proceedings of the annual conference of Agricultural Economics, University of Mashhad, 12-21. (In Farsi). Yazdani, M., Jalalian, H. & Pari Zangeneh, A. (2009). Socio-economic and environmental impact assessment of watershed management plans (Case Study: Organizing Project Zanjanroud). Journal of Geographic Society, 7(20), 81-96. (In Farsi).
36
ORIGINAL_ARTICLE
Investigate the economical effects of world food and oil price on macroeconomic variables in Iran
This study investigates economic effects of world food and oil price on macroeconomic variables (industrial output growth, inflation, stock price indices, lending rate and real exchange rate) in Iran. To determine the influence of variables, Structural Vector Auto Regressive (SVAR) was used. In this study, three models discussed separately: In the first model, the effect of global food price prices as exogenous variables on the macro variables was measured. The second model examined the effect of oil deals on macroeconomic variables. In addition, the third model investigated the impact of both variables (global food and oil prices) simultaneously. The data required for this study was monthly and the related period was 1380:01-1390:12. The results show that oil prices effects inflation and exchange rate, but it has no significant effect on output growth and stock market. Global food price shocks have shown similar effects on macroeconomic variables, and it only affects the inflation and the exchange rate. The study results of shocks in oil prices and global food prices show that in addition to the individual effect of each of these shocks on inflation and exchange rates, the oil shock will have a significant effect on global food prices. The empirical results of this study suggest that oil and food prices should be considered for policy and forecasting purposes. In addition, it is important that with developing non-oil exports and the use of revenue from oil exports in economic infrastructure, minimize the negative effects of oil shocks.
https://ijaedr.ut.ac.ir/article_62740_7178445146d05640d71001814888d14e.pdf
2017-06-22
197
209
10.22059/ijaedr.2017.62740
Price shock
Food
Oil
SVAR
Iran
Esmaeil
Pishbahar
pishbahar@yahoo.com
1
دانشگاه تبریز-دانشکده کشاورزی
LEAD_AUTHOR
مریم
باغستانی
mbaghestany@gmail.com
2
دانشجوی دکتری -دانشگاه تبریز
AUTHOR
Abbasiyan A. Moradpoor Oladi M. & Abasiyoon V. (2007). Impact of oil price uncertainty on the part of industry, services and construction. Journal of Economic Research. 6(2), 109-121. (In Farsi(
1
Abott P.C., Hurt C. & Tyner W.E. (2009). What's driving food prices? Farm foundation issue report, http://purl.umn.edu/37951.
2
Alom F. (2011). Economic Effects of Oil and Food Price Shocks in Asia and Pacific Countries: An Application of SVAR Model. Paper presented at the 2011 NZARES Conference, Tahuna Conference Centre – Nelson, New Zealand. August 25-26.
3
Amisano G. & Giannini C. (1997). Topics in structural var econometrics. Berlin: Springer-Verlag.
4
Bjernland H.C. (2000). The Dynamic Effects of Aggregate Demand, Supply and Oil price shocks- A comparative study. University of oslo.
5
Breitung J. Bruggemann R. & Lutkepohl H. (2004). Applied time series econometrics. West Nyack, NY, USA:Cambridge University Press.
6
Brown S.P.A. & Yucel M.K. (2002). Energy prices and aggregate economic activity: An interpretative survey. Quarterly Review of Economics and Finance, 42, 193-208.
7
Enders W. (1995). Applied Econometric Time Series. John Wiley and Sons, Inc; USA Engle.
8
Farzanegan M.R & Markwardt G. (2009). the effects of oil price shocks on the Iranian economy. Energy Economics, 31(1), 134-151.
9
Galesi A. & Lombardi M.J. (2009a). External shocks and international inflation linkages: A global var analysis. European central bank. WP. 1062.
10
Hakro A.N. & Omezzine A.M. (2010). Macroeconomic effects of oil and food price shocks to the oman economy. Middle Eastern Finance and Economic. (6). 72-90.
11
Headey D. & Fan S. (2008). Anatomy of a crisis: The causes and consequences of surging food prices. Agricultural Economics. 39, 375-391.
12
Hoseyni, S. & Tahamipoor M. (2009). Measuring the effects of energy price shocks (oil) on the rate of inflation in Iran. Journal of Iran energy. 12(4), 63-76. (In Farsi)
13
Hemmati, A. & Mobasherpoor, A. (2009). Identification of oil price Shocks, supply and aggregate demand in the Iran's economy, using the structural VAR. Energy Economics Studies Journal. 6 (23), 71-90. (In Farsi)
14
Lardic S. & Mignon V. (2008). Oil prices and economic activity: An asymmetric cointegration approach. Energy Economics. 30 (3), 847-855.
15
Keshavarziyan, M., Zamani, M. & Panahi Nejad, H. (2010). Spillover effect of U.S. dollar exchange rate on oil prices. Energy Economics Studies Journal. 27, 131-154.
16
Mehr Ara M. & Niki Oskooyi K. (2006). Shocks Oil and dynamic effects on macroeconomic variables. Journal of Research Review Business. 10(40), 1-32. (In Farsi)
17
Olomola, A.F. & Adejumo, A.V. (2006). oil price shock and Macroeconomic Activities in Nigeria. International Research Journal of Finance and Economics. 3, 23-26.
18
Samadi, S., Yahyaabadi, A. & Moalemi, N. (2009). Analyze the impact of oil price shocks on macroeconomic variables in Iran. Journal of Research and Economic Policies,17(17), 5-26.
19
Sarzaaim A. (2007). The effects of oil price shocks on economic variables in a model VAR. Energy Economics Studies Journal. 4(12), 27-51.
20
Behboodi D. Motefaker M.A. & Rezazadeh a. (2009). Effects of price volatility on GDP. Energy Economics Studies Journal. 6 (20), 1-33. (In Farsi) Shafiei S. & Saboori Deylami M. (2009). Evaluation of macroeconomic variables interact from the global financial crisis. Investigations Commercial, 39, 2-16.
21
ORIGINAL_ARTICLE
The Economic Analysis of Pareh-Cooperatives in the Mazandaran Province
The Caspian Sea is one of the largest sources of Bony fishes in Iran that these fishes accounted for 45 percent of total fishing in the Caspian Sea. Regarding a long history of Pareh-fishing on the coast of the Caspian Sea, the principle aim of this study was the economic analysis of fishery cooperatives in the Mazandaran province. For this purpose, 110 questionnaires were completed from 12 cooperatives in 2014 fishing season. The technical, allocative and economic efficiencies and total factor productivity index for the selected cooperatives calculated In addition, causes of reduced catches and fishermen and cooperatives’ problems were analyzed from the point of view of experts and fishermen. The efficiency results showed that only 16.7 percent of cooperatives have technical and economic efficiency. More than 80 percent of cooperatives followed increasing returns to scale. According to the results, variable such as fishermen’s age, education level, Fishing Manager’s experience and education, as well as level of fishing have positive and significant effect on economic efficiency significantly while variables like cooperative members, the number of stormy days and fishermen's second job have negative and significant effect on cooperatives’ economic efficiency. The productivity results indicated that only two cooperatives have productivity. Therefore, it should focus on appropriate policies in order to improve efficiency and productivity.
https://ijaedr.ut.ac.ir/article_62741_6059fd0c21782bb011bc4c01dd43e661.pdf
2017-06-22
211
226
10.22059/ijaedr.2017.62741
Technical efficiency
economic efficiency
total factor productivity
Bony fishes
Mazandaran’s Cooperatives
سعید
یزدانی
syazdani@ut.ac.ir
1
رئیس دانشکده اقتصاد و توسعه کشاورزی/دانشگاه تهران
AUTHOR
اندیشه
ریاحی
andishehriahi@gmail.com
2
کارشناس ارشد
LEAD_AUTHOR
غلامرضا
پیکانی
rpeykani@ut.ac.ir
3
دانشیار/دانشگاه تهران
AUTHOR
Asgharpour, M.J. (2006). Multiple Criteria Decision Making. University of Tehran Press, First Edition. Tehran. (In Farsi)
1
Banker, R.D., Charnes, A. & Cooper, W.W. (1984). Models for the estimation of technical and scale inefficiencies in DEA. Management Science, 30(9):1078-1092.
2
Coelli, T.G. (1996). A Guide to DEAP Version 2.1, A Data Envelopment Analysis (Computer Program). CEPA Working Paper, No.8, Department of Econometrics, University of New England.
3
Darijani A. (2005). Evaluation of Environmental and Technical efficiencies of Livestock Slaughterhouse in Tehran. Doctorate dissertation, University of Tehran. (In Farsi)
4
Diewert, W.E (1976). Exact and Superlative Index Numbers. Journal of Econometrics, 4:45-115.
5
Diewert, W.E (1992). The measurement of Productivity. Bulletin of Economic Research, 44:1-166.
6
Emami Meybody, A., Karimian, Z. & Rahmani Sefati, M,H. (2011) Measurement of technical efficiency and productivity of petrochemical complexes in Iran (2001-2007). Quarterly Energy Economics Review, 8(29): 61-82. (In Farsi)
7
Farrell, M. J. )1957( The measurement of productive efficiency, Journal of the Royal Statistical Society. Series A, CXX, Part 3, 120 (3): 253-281.
8
Jahanifar, K. (2009) Factors affecting on bone fishing in southeastern coast of the Caspian Sea. MS Thesis, Islamic Azad University, Science and Research Branch.
9
10. Lovell, C. (1993). Production Frontiers and Productive Efficiency. in Fried HO and SS Schmidt (eds.) the Measurement of Productive Efficiency: Techniques and Applications, Oxford U.K.: 3-67.
10
11. Mehregan, M. (2004). Quantitative models for evaluating the performance of organizations. MS Thesis, University of Tehran.
11
12. Moradi, H. (2010) Factors affecting the success of the Kermanshah province's fishery cooperatives. MS Thesis, Razi University, Kermanshah.
12
13. Rafiee H, Khormizi, S.R. & Ganjkhanlu, M. (2011) Total Factor Productivity, Efficiency and Scale Return of Dairy Farms in Guailan Province. Journal of Agricultural Economics Researches, 3(4): 115-130. (In Farsi)
13
14. Sadr, S.K. Salami, H. & Firouzabadi, S.M. (2006) Measuring productivity of Islamic banks (Agricultural Bank). Letter helpful, 57:49-74. (In Farsi)
14
15. Salami, H. (1997) Concepts and measurement of productivity in agriculture. Agricultural Economic and Development, 5(18): 31-57. (In Farsi)
15
16. Sepehrdoust H. & Yousefi S.H. (2013) Economic Efficiency Measurement of Agricultural Cooperatives; Using Stochastic Frontier and Data Envelopment Analysis. Economy and regional development, 5(20): 189-206. (In Farsi)
16
17. Unal V, Göncüoğlu H. & Franquesa R (2009). A comparative study of success and failure of fishery cooperatives in the Aegean, Turkey. Journal compilation, 2009 Blackwell Verlag, Berlin.
17
18. Yalghi S, Ghorbani R. & Aghili S.M (2010). Evaluation of fish profitablility by catched beach seine, located in southeast of Caspian Sea, Golestan province. Fisheries Journal of Islamic Azad University Azadshahr Branch, 4(4): 57-68. (In Farsi)
18
ORIGINAL_ARTICLE
Determining the efficiency rank of irrigated crops in Iranian agricultural sector
In the agricultural sector generally indices such as performance and production are used for assessing and ranking of different regions and products but using these indicators since all dimensions and production costs are not considered, can cause an error in agricultural planning. To resolve the issue in this study data envelopment analysis models including the basic model, cross efficiency method and mixed integer programming was used to rank 27 irrigated crops in agricultural sector of Iran. The required data were obtained from the Ministry of agricultural jihad for crop year 2011-2012 which includes information about the seed, manure, fertilizers, pesticides, labor and water. On output side the gross margin and yield were used as indicators for profitability and production. The results showed that if the goal is to increase profitability in the agriculture sector, then the cultivation of vegetables, industrial crops, cucurbits, beans, forage plants and cereals are top priority, respectively. But if the aim is to increase the total production, in that case the priority must be forage plants, vegetables, industrial crops, cucurbits, cereals and beans. The common finding of different models was that the crops with high consumption of water, summer soybean than spring soybean and short-grain rice than other types of rice had a better rank.
https://ijaedr.ut.ac.ir/article_62742_533246e1945eae70238aabbab4ba9203.pdf
2017-06-22
227
240
10.22059/ijaedr.2017.62742
Cross efficiency
Super Efficiency
integer
Profitability
yield
علی
شهنوازی
shahnavaziali@yahoo.com
1
گروه تحقیقات روستایی و اقتصاد کشاورزی، مرکز تحقیقات کشاورزی و منابع طبیعی استان آذربایجان شرقی، سازمان تحقیقات، آموزش و ترویج کشاورزی، تبریز، ایران
LEAD_AUTHOR
Abdshahi, A., Taki, M., Gholabi, M.R., & Haddad, M. (2014). Investigating of the energy efficiency of wheat crop using DEA: A case of Mahyar plain in Shahreza. Journal of Agricultural Economics Research, 7(4), 57-74. (In Farsi)
1
Abedi, M., Mohammadi, H., & Ghaffari, M. (2011). Efficiency and profitability of rainbow trout culture in Fars province. Journal of Agricultural Economics Research, 5(2), 93-123. (In Farsi)
2
Ahmadzadeh, S.S., Kavand, H., Sargazi, A.R., & Sabouhi, M. (2012). Determination of rice growers’ efficiency using data envelopment analysis approach: Case study of Rasht city. Journal of Operational Research in Its Applications, 9(3), 63-76. (In Farsi)
3
Amin, Gh., & Toloo, M. (2007). Finding the most efficient DMUs in DEA: An improved integrated model. Computers & Industrial Engineering, 52(2), 71-77.
4
Andersen, P., & Petersen, N.C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39, 1261-1265.
5
Behruz, A., & Emami Meybodi, A. (2014). Measuring technical, allocative and economic efficiency and productivity of farming sub-sector of Iran with emphasis on irrigated watermelon. Journal of Agricultural Economics Research, 6(3), 43-66. (In Farsi)
6
Charnes, A., Cooper, W.W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-444.
7
Cheng, G., Qian, Z., & Zervopoulos, P. D. (2011). Overcoming the infeasibility of super-efficiency DEA model: A model with generalized orientations. MPRA.
8
Chiao-Ping, B., Chen-Hu, J., Ching-Chung, G., & Chien-Liang, L. (2014). The linear programming approach on A-P super-efficiency data envelopment analysis model of infeasibility of solving model. American Journal of Applied Sciences, 11(4), 601-605.
9
Coelli, T. J., Prasada Rao, D. S., O`Donnell, C. J., & Battese, G. E. (2005). An introduction to efficiency and productivity analysis. (second edition). Springer Science & Business media, Inc.
10
Ebadi, S. (2012). Using a super efficiency model for ranking units in DEA. Applied Mathematical Science, 6(41), 2043-2048.
11
Ertay, T., Ruan, D., & Tuzkaya, U. R. (2006). Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems. Information Systems, 176, 237-262.
12
Eshraghi, F., & Kazemi, F. (2014). Evaluating economic and technical efficiency of dairy farms in Gorgan County. Journal of Ruminant Research, 2(1), 195-211. (In Farsi)
13
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120(3), 253-290.
14
Foroughi, A.A. (2011). A new mixed integer linear model for selecting the best decision making units in data envelopment analysis. Computers & Industrial Engineering, 60, 550-554.
15
Haghighatnejad, M.R., Yazdani, A.R., & Rafiee, H. (2014). Comparison of the efficiency and productivity index of dairy farms: case study of Esfahan region. Journal of Ruminant Research, 1(4), 177-193. (In Farsi)
16
Jahanshahloo, G. R., Rostamy-Malkhalifeh, M. & Ebrahimi L. (2013). A new proposed method of restricted Malmquist productivity index by correlation coefficients for ranking decision making units. Journal of Applied Science and Agriculture, 8(7), 1409-1414.
17
Jahanshahloo, G., Hosseinzadeh Lotfi, F., Shoja N., Fallah Jelodar, M., & Abri, A.G. (2010). Ranking extreme and non-extreme efficient decision making units in data envelopment analysis. Mathematical and Computational Applications, 15(2), 299-308.
18
Karami, A.A., & Abdshahi, A. (2011). Ranking of townships in Kohgiloyeh and Boyerahmad province in terms of development using fuzzy approach. Journal of Agricultural Economics Research, 3(3), 117-136. (In Farsi)
19
Mecit, E. D., & Alp, I. (2012). A new restricted model using correlation coefficients as alternative to cross-efficiency evaluation in data envelopment analysis. Hacettepe Journal of Mathematics and Statistics, 41(2), 321-335.
20
Ministry of Agricultural Jihad. (2014a). Crop Production Yearbook in 2012-2013. (In Farsi)
21
Ministry of Agricultural Jihad. (2014b). Production Cost Yearbook in 20011-2012. (In Farsi)
22
Ministry of Agricultural Jihad. (2015). Crop Production Yearbook in 2012-2013. (In Farsi)
23
Sardar Shahraki, A., Dahmardeh, N., & Karbasi, A.R. (2012). Calculation of efficiency and the return to scale of grape growers in Sistan region with data envelopment analysis. Journal of Operational Research in Its Applications, 9(3), 77-90. (In Farsi)
24
Sefeedpari, P., Rafiee, Sh., Akram, A., & Mousavi-Avval, Sh. (2012). Application of fuzzy data envelopment analysis for ranking dairy farms in the view of energy efficiency. Journal of Animal Production Advances, 2(6), 284-294.
25
Sepehrdoust, H. & Yousefi, S.H. (2013). Economic efficiency measurement of agricultural cooperatives using stochastic frontier and data envelopment analysis. Economy and regional development, 20(5), 189-206. (In Farsi)
26
Sexton, T. R., Silkman, R. H., & Hogan, A. J. (1986). Data Envelopment Analysis: Critique and extensions, in R. H Silkman (Ed.), Measuring efficiency: An assessment of Data Envelopment Analysis, Jossey-Bass, San Francisco, 32, 73-105.
27
Zamanian, GH. R., Shahabinejad, V., & Yaghoubi M. (2013). Application of DEA and SFA on the measurement of agricultural technical efficiency in MENA countries. International Journal of Applied Operational Research, 3(2), 43-51. Zibaei, M., & Telikany, Sh. (2010). Ranking goals of stockmen in Tonekabon`s jungle using fuzzy pair-wise comparison and simple ranking methods. Agricultural Economics and Development, 18(69), 139-165. (In Farsi)
28
ORIGINAL_ARTICLE
Evaluating the impacts of removing government protection policies in the Iranian wheat market using market equilibrium approach
Wheat as a strategic product, in terms of production and cultivation, is the most important crops in worldwide and plays an important role in the political and economic arena. According to this issue it is necessary to adjust market by the producers, consumer and national welfares. This study investigated the effect of government support policies in the wheat market by using the spatial equilibrium model and compared the result with liberalized market. Results revealed that imposing both consumer and producer support policies would be accompanied by 3165 tones excess demand in the base year (2013-2014). In the liberalized market, total quantity demanded and supplied would decrease equal to 13.9 and 1.6 percent. Also liberalizing policy would increase consumer price (105.4 percent) and decrease producer price (9.9 percent). Therefore, liberalizing wheat market worse off consumer and producer gain would be negligible. Finally, compensation payment as a complementary policy would be pursue in the short run for the consumers.
https://ijaedr.ut.ac.ir/article_62743_173d9e3057aea04e75e1aefb9b219eef.pdf
2017-06-22
241
256
10.22059/ijaedr.2017.62743
spatial equilibrium
general maximum entropy
wheat market
welfare evaluating
Seyed Habibollah
Mosavi
seyed_1978mo@yahoo.com
1
دانشگاه تربیت مدرس
LEAD_AUTHOR
ایمان
فیضی
imanfeyzi@gmail.com
2
دانشگاه تربیت مدرس
AUTHOR
صادق
خلیلیان
khalil_s@modares.ac.ir
3
دانشگاه تربیت مدرس
AUTHOR
Akkemik, K.A. )2011(. Potential impacts of electricity price changes on price formation in the economy: a social accounting matrix price modeling analysis for Turkey. Energy Policy, 39: 854–864.
1
Amid, J. (2007). The dilemma of cheap food and self-sufficiency: The case of wheat in Iran. Food Policy, 32: 567-552.
2
Arfini, F. Donati, M. Grossi, L. & Paris, Q. (2008). Revenue and cost functions in PMP: a methodological integration for a territorial analysis of CAP. 107th EAAE Seminar Modelling of Agricultural and Rural Development Policies. Sevilla, Spain, January.
3
Azhdari, S., Mortazavi, S., Mosavi, S.H and Vakilpour M.H. 2013. Investigation the Bread Waste Reduction on the Iranian's Consumer's Welfare. Agricultural Economics and Development 21 (82): 69-89.
4
Backhouse, D. (2014). Global distribution of fusarium graminearum, asiaticum and boothii from wheat in relation to climate. European Journal of Plant Pathology, 139 (1): 161-173.
5
Caputo, M. R. & Paris, Q. (2008). Comparative statics of the generalized maximum entropy estimator of the general linear model. European Journal of Operational Research, 185(1): 195-203.
6
Devadoss, S. (2013). Ad valorem tariff and spatial equilibrium models. Appl. Econ., 45(23): 3378-3386.
7
Devadoss, S. Sridharan, P. & Wahl, T. (2009). Effects of trade barriers on U.S. and world apple markets. Canadian Journal of Agricultural Economics, 57: 55–73.
8
Elshennawy, A. 2013. The Euro-Mediterranean free trade agreement and the cost of tariff liberalization in Egypt. Journal of Policy Modeling, 35: 326–338.
9
Ferris, M. C. & Munson, T. S. (2000). Complementarity problems in GAMS and the PATH solver. Journal of Economic Dynamics and Control, 24(2): 165-188.
10
Feyzi, I. 2016. Investigating the provincial impacts of government interventions in the wheat market. M.Sc. dissertation of Agricultural Economics. Tarbiat Modares University.
11
Fraser, I. (2000). An application of maximum entropy estimation: the demand for meat in the United Kingdom. Applied Economics, 32(1): 45-59.
12
Fuller, S. Fellin, L. & Salin, V. (2003). Effect of liberalized US-Mexico rice trade: A spatial, multiproduct equilibrium analysis. Agribusiness, 19: 1–17.
13
Gomez-Plana, A. G. & Devadoss, S. (2004). A spatial equilibrium analysis of trade policy reforms on the world wheat market. Applied Economics, 36: 148-164.
14
Hoque, M. M. & Yusop, Z. (2010). Impacts of trade liberalization on aggregate import in Bangladesh: an ARDL bounds test approach. Journal of Asian Economics, 21(1): 37-52.
15
Hoseini, S.S and Torshizi, M. 2009. Evaluating date producer support programs during national developing plans. Agricultural Economics and Development 24 (1): 33–41.
16
Huang, Q. Howitt, R. & Rozelle, S. (2012). Estimating production technology for policy analysis: trading off precision and heterogeneity. Journal of Productivity Analysis, 38(2): 219-233.
17
Jones, J. Li, S. Devadoss, S. & Fedane, C. J. (1996). The former soviet union and world wheat trade, American Journal of Agricultural Economics, 78: 869–878.
18
Mesrinejad, SH. 2010. Trade liberalization and competitiveness in Iran. International economics studies. 37(21): 101–116.
19
Moradi, E. Pahlavani, M. Akbari, A. & Bashrabadi, H. M. (2013). Comparative analysis of stochastic frontier partially non-parametric and stochastic frontier parametric methods case study: measuring cost efficiency in wheat production in Iran. International Journal of Agricultural Management and Development (IJAMAD), 3(2) 123-130.
20
Mosavi, S. H. & Esmaeili, A. (2012). Self-sufficiency versus free trade: the case of rice in Iran. Journal of International Food & Agribusiness Marketing. 24: 76-90.
21
Mosavi, S. H. (2014). Positive agricultural and food trade model with ad valorem tariffs. J. Agr. Sci. Tech, 16: 1481-1492.
22
Mosavi, S.H. and Esmaeili, A.K. 2011. Investigating the impacts of rice import tariff on welfare and poverty of rural and urban households. Agricultural Economics Research. 5(3): 143–167.
23
Mosavi, S.H. and Khalilian, S. 2005. Evaluating the factors influences technical efficiency of wheat farms. Agricultural Economics and Development 53: 45-60.
24
Mosavi, S.H., Bakhshoodeh, M and Azhdari, S. 2012. A game theoretic analysis of the government interventions in wheat market and its influence on barley market in Iran. J. Econ. Agric. Dev. 26, 106–116
25
Nagurney, A. & Zhao, L. (1993). Variational inequalities and networks in the formulation and computation of market equilibria and disequilibria: The case of direct demand functions. Transportation Science, 27(1): 4-15.
26
Najafi, B. 2000. Evaluating government policies in the rice market: Problems and approaches. Agricultural Economics and Development 31: 7-29.
27
Peters, G. P. Andrew, R. & Lennox, J. (2011). Constructing an environmentally-extended multi-regional input–output table using the GTAP database. Economic Systems Research, 23(2): 131-152.
28
Pires, C. Dionisio, A. & Coelho, L. (2010). GME versus OLS: Which is the best to estimate utility functions? CEFAGE-UE Working-Papers, 2.
29
Robison, M. H. (1997). Community Input-Output models for rural area analysis with an example from central idaho. Annals of Regional Science, 31: 325–351.
30
Sabouhi, M and Ahmadpour, M. 2012. Estimating agricultural demand functions using general maximum entropy. Agricultural Economics. 6(1): 71–91.
31
Salami, H and Permeh, Z. 2001. The impacts of increasing agricultural and industrial export on the Iranian economy. Agricultural Economics Research. 24: 141–181.
32
Samuelson, P. A. (1952). Spatial price equilibrium and linear programming. The American Economic Review, 283-303.
33
Shoshtarian, A and Bakhshoodeh, M. 2007. Investigating the impacts of wheat market liberalization on social welfare. Journal of Agricultural Science. 30(1), 1–13.
34
Soltani, S and Mosavi S.H. 2015. Investigating the potential impacts of climate change on agricultural production yield and value added in Hamedan plain. Agricultural Economics. 9(1): 95–115.
35
Spreen, T. Brewster, C. & Brown, M. (2003). The free trade area of the Americas and the market for processes orange products. Journal of Agricultural and Applied Economics, 35: 107–126.
36
Taalimoghaddam, A., N. Shahnoushi, S.H. Mosavi, and A. Dourandish. 2015. The impacts of wheat’s guarantee on its production in Iran. Agricultural Economics and Development 23 (90): 113–142.
37
Takayama, T. & Judge, G. G. (1964). Spatial equilibrium and quadratic programming. Journal of Farm Economics, 46: 67-93.
38
Vaezi, L & Yazdani, S. (2007). Evauating the government protection policies of wheat consumption and production in Iran. Agricultural. 2(2): 51–67.
39
Wu, X. (2009). A weighted generalized maximum entropy estimator with a data-driven weight. Entropy, 11: 917-930.
40
Yavari, GH.R. 2001. Evaluating the welfare impacts of wheat pricing policies. Commercial Research.18: 145-168. Yosefi, H and Mogjaddasi, R. 2012. Investigating the international price transmission for some agricultural markets (wheat, barley and rice) into the home market using general maximum entropy. Agricultural Economics Research. 5(1): 81–99.
41
ORIGINAL_ARTICLE
Factors affecting farmers' knowledge of potato waste management in the county of Razan - Hamedan
Annually, a great amount of produced potato in the country is wasted. Assessment of potato growers’ knowledge of waste management is a key factor in reducing waste. This study aimed to assess knowledge of potato growers in Razan County. The population was consisted of 546 farmers, which a sample of 250 potato growers was selected using Stratified random sampling method. The research instrument was a questionnaire which was validated by a panel of faculty members from Tehran and Mohaghegh Ardabili Universities. Cronbach's alpha calculated for attitude (0.86) and knowledge (0.79) scales and showed high reliability of the instrument. Result of factor analysis showed that 5 obtained factors, viz. storage, transportation, harvesting, and planting explained 65.93% of total variance of knowledge of waste management of respondents.
https://ijaedr.ut.ac.ir/article_62744_4412091806d3464ca31ec384050b9f5b.pdf
2017-06-22
257
269
10.22059/ijaedr.2017.62744
knowledge
Waste Management
potato
Razan county
Asghar
Bagheri
bagheri_a2001@yahoo.com
1
Associate Professor, University of Mohaghegh Ardabili
LEAD_AUTHOR
عمران
غفاری
ghafarim89@yahoo.com
2
دانش آموخته کارشناسی ارشد دانشگاه محقق اردبیلی
AUTHOR
حسین
شعبانعلی فمی
hfami@ut.ac.ir
3
دانشیار دانشگاه تهران
AUTHOR
Ahmadi Zadeh, S., & Albozahr, A. (2005). The role of cooperative in agricultural waste management, Journal of Agriculture and Industry, (7): 5-8, (In Farsi).
1
Alibeigi, A. M. (2008). Wheat growers, bakers and consumers’ attitudes towards factors affecting wheat waste. Iranian journal of agricultural sciences, 1(39): 45- 53, (in Farsi).
2
Anonymous (2003). About consumption improvement (11): Agricultural productions waste reduction. Bureau of infrastructural studies. Retrieved from: www.majlis.ir, (In Farsi).
3
Asadi, H. & Hasandokht, M. (2005). Investigation of Reducing Vegetable Losses, 1st National Symposium on Losses of Agricultural Products, Tarbiat Modares University, Tehran, (In Farsi).
4
Asiedu, S. K. (2003). Reducing Post harvest Losses :a Training Module Development for west Africa. Acta hort.628. ISHS. Proc XXVI IHC- Issues and Advances In Post harvest Hort.
5
Atefi, N. (2003). Investigating extension education methods in wheat waste reduction in Kermanshah province. MSc. Thesis, Science and research branch, Islamic Azad University, Tehran, (In Farsi).
6
Azizi, M. (2004). Reducing Postharvest Losses of Horticulture Crops, 1st Symposium of National Resources Loss Prevention, the Academy of Sciences of Islamic Republic of Iran, Tehran, (In Farsi).
7
Baci, L., Picanco, M.C., Gonring, A.H.R., Guedes, R.N.C., & Crespo, A.L.B. (2006). Critical Yield Comporents and key Loss Factors of Tropical Cucumber Crops, Crop Protection 25, 1117-1125.
8
Baky, A.A., & Gawish, R.A. (1999). Technological evaluation of new cultivars for potato chip manufacturing. Nahrung. 36: 380-387.
9
10. Bishop, C.F.H. & Maunder, W.F. (1992). Potato Mechanization and Storage. Farming, l1, 160 pp.
10
11. Goudarzi, F., & Seydan, S. (2003). Economic evaluation of potato waste in the different terms of keeping, 2nd National Congress of on Losses of Agricultural Products, P: 347-354.
11
12. Hanson, L.E., Schwager, S. J., & Loria, R. (1995). Sensitivity to Thiabendazole in fusarium spp. Associated with dry rot of potato. Phytoptathoogy, 86, 378- 384.
12
13. Khoshnoodi-Far, Z., & Asadi, A. (2010). Analysis of wheat growers’ attitudes towards waste management in Markazi province. Journal of Researches in Agricultural Extension and Education, 3(4): 43-55, (In Farsi).
13
14. Malekan, S. (2003). How to balancing wheat production and consumption, Monthly economic jihad-Agriculture, 75-78, (In Farsi).
14
15. Mansour-Dehghan, H. (2003). Determining wheat waste rate from postharvest stage to consumption places. MSc. Thesis, sciences and research branch, Islamic Azad University: 44-49, (In Farsi).
15
16. Malek-Mohammadi, I. (1994). Agricultural waste management extension education (AWMEE). College of Agriculture, University of Tehran, Karaj, Iran. American Journal of Environmental Sciences, 2(1), 10-14. Retrieved from http://www.scipub.org/fulltext/ajes/ajes2110-14.pdf/
16
17. Malek-Mohammadi, I. (2006). Factors influencing wheat, flour and bread waste in Iran. Journal of New Seeds, 8(4), 1-8. ISSN 1553-345X. Retrieved from http://www.informaworld .com/smpp/content~content=a902797933/
17
18. Mirmajidi, A., Shahedi, M., Minaei, S., & Afdideh, A. (2007). Strategic program of agricultural products postharvest waste reduction. Agricultural technical and engineering research institute, reseach, education and extension organization, ministry of Jihad- Agriculture. Tehran, Iran, P. 12, (In Farsi).
18
19. Mirtorabi, M., Hosseini, M., & Alizadeh, N. (2011). Factors affecting attitudes of wheat growers towards wheat waste management. Journal of Agricultural Extension and Education Researches, 4(3):1-12, (In Farsi).
19
20. Namuli Kasozi, M. (2007). Food Drying-Production Plant From Tropical Horticulture Enterprises Second International Conference of the African Association of Agricultural Economists, AAAELL:20-22 August, 2007, Accra, Gana.
20
21. Peikar-porsan, M., Shabanali-Fami, H., Daneshvar-Ameri, Z., & Bakhshi, A. (2012). Factors affecting application of waste management practices of apple production in Abhar county. Journal of Researches in Agricultural Economic and Development, 44(2): 329-341, (In Farsi).
21
22. Pringojin, I. Fallik, E. Qat, Y. Ajalin, H. Allam, M. M. Ezzat, M. Al Masri & M. Bader (2003). Middle East Regional Agriculturel Program Survey on Postharvest Losses of Tomato Fruit (Lycopersicon Esculentum) and Table Grapes (Vitis Vinifera).
22
23. Shadan, A. (2007). Investigation of Economical Dimension of Agricultural Losses in Iran, 6th National Conference of Agricultural Economics, Ferdowsi University of Mashhad, Iran, (In Farsi).
23
24. Tadesse, F. (1991). Post-harvest Losses of Fruits and Vegetable in Horticultural Farms. Acta Horticulture (270): 261-270.
24
Yazdi-Samadi, B., Majnoon-Hosseini, N., & Tavakol-Afshari, R. (2006). Project of waste reduction in wheat production and consumption. Project No. 31309225, College of agriculture and natural resources, Karaj, Iran: 15-17, (In Farsi).
25
ORIGINAL_ARTICLE
Designing Process Model of Commercialization of University Agricultural Research
This research aimed to design a process model of commercialization of university agricultural research findings in Iran. Methodologically, this research was performed through a causal-correlation method and analysis of variance-covariance matrix. Statistical population of this research was consisted of all faculty members of the public agricultural faculties under the jurisdiction of the Ministry of Scientific, Research and Technology (N=2030). Size of research sample was determined based on Cochran's formula (n=305). The respondents were selected through multi-stage random sampling and proportional allocation procedure. Discriminate validity of the researcher-made questionnaire analyzed using Average Variance Extracted (AVE) and Composite Reliability (CR). Using Structural Equation Model the research hypothesis was tested. As result of this research, according to path analysis, the commercialization process consists of seven stages, including formation of research and technology ideas, assessment of research and technology ideas, formulation of research and technology ideas, implementation of research and technology ideas, preparation for commercialization of research findings, execution and management of commercialization of research findings and maturation and evolution of process of commercialization of research findings.
https://ijaedr.ut.ac.ir/article_62745_cf32572556e7171f77693aedca762496.pdf
2017-06-22
271
285
10.22059/ijaedr.2017.62745
University Agricultural Research
Commercialization of Research Findings
Process Model
SEM
مهنوش
شریفی
m_sharifi@ut.ac.ir
1
دانشگاه تهران
LEAD_AUTHOR
Mahnoosh
Sharifi
arezvan@ut.ac.ir
2
University of Tehran
AUTHOR
سید محمود
حسینی
hoseinim@ut.ac.ir
3
دانشگاه تهران
AUTHOR
سید حمید
موحد محمدی
hmovahed@ut.ac.ir
4
دانشگاه تهران
AUTHOR
Alambeigi, A., Malak Mohammadi, I., Zareie, B., & Asadi, A. (2012). Entrepreneurial Research and Development Based on Knowledge Translation in the Success of Agricultural Technology Transfer. Journal of Entrepreneurship Development, 4(11):107-126 (In Farsi).
1
Cao, C., Appelbaum, R. P., & Parker, R. (2013). Research is high and the market is far away: Commercialization of nanotechnology in China. Technology in Society, 35)1(:55-64.
2
Casper, S. (2013). The spill-over theory reversed: The impact of regional economies on the commercialization of university science. Research Policy, 42)8):1313-1324.
3
Cooper, R.G. (2007). Managing technology development projects. IEEE Engineering Management Review, 35 (1): 67-76.
4
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).
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
Feldman, Maryann P. & Ian, I. Stewart, (2008). Wellspring of Modern Economic Growth: Higher Education, Innovation and Local Economic Development, in Justin Lin and Boris Pleskovic (eds). Annual World Bank Conference on Development Economics, Higher Education Development. The World Bank, Wshington D.C., pp.177-200
7
8.Goodarzi, M., Bamdad Soofi, J., Aarabi S., & Amiri, M. (2012). A Process Model for Technology Commercialization in Public Research Institutions of Iran. Journal of Science and Technology Policy, 4 (2) :41-56 (In Farsi).
8
Hasangholipour, H., Gholipour, A., Mohammadi Ghazimahaleh, M., & Roshandel Arbatani, T. (2011) Requirements, necessities and mechanisms of knowledge commercializing in Management Schools / Faculties. Journal of Business Management, 2(6): 41-66 (In Farsi).
9
Khaill, Tarek M, (2000). Management of technology: the key to competitiveness and wealth creation, Boston, McGraw Hill.
10
Landry, R. Amaraý N. & Rherrad, I., (2001). Why are some university researchers more likely to create spinoffs than others? Evidence from Canadian universities. Research Policy, 35: 1599-1615.
11
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
Moller, C. 2007. Process innovation laboratory: a new approach to business process innovation based on enterprise information systems. Enterprise Information Systems 1(1): 113–128.
13
Mousaei, A., Sadraei, S., & Bandarian, R. (2008). A Know-how on Commercializing Process Model for Chemical Products. Roshd-e-Fanaveri (Journal of Science and Technology Parks & Incubators), 16(4):8-18. (In Farsi).
14
Ndonzuau, F.N., Pirnay, F., and Surlemont, B. (2002). A stage model of academic spin-off creation. Technovation, 22(5): 281-289.
15
Radfar, R., Khamseh, A., & Madani, H., (2009). Technology Commercialization as the Effective Function in Technology and Economy Development. Roshd-e-Fanaveri (Journal of Science and Technology Parks & Incubators). 20(5):33-40 (In Farsi).
16
Rogers, Everett M., Jing Yin, & Hoffmann, J. (2000). Assessing the effectiveness of technology transfer offices at U.S. research universities. Association of University Technology Managers. Retrieved from http://www.unl.edu.ar/transfer/bpcue/archivos/bibliograf/ assessing.
17
Rosa, J. & A. Rose (2007). Report on Interviews on the Commercialisation of Innovation. Ottawa, Science, innovation and Electronic Information Division, Statistics Canada: 10-14.
18
19.Rothwell, R., & Zegveld, W. (1985). Reindustrialization and Technology. Longman: Harlow.
19
Rothaermel, F. T., Agung, S. D., & Jiang, L. (2007). University entrepreneurship: a taxonomy of the literature. Industrial and Corporate Change, 16(4): 691–791.
20
Yencken, J. & Ralston, L. (2005). Evaluation of incentives for commercialisation of research in Australian universities. Australia. Dept. of Education, Science and Training, Retrieved May 23, 2013 from: http://trove.nla.gov.au/version/14339220
21
ORIGINAL_ARTICLE
Application of the Social Cognitive Career Theory to Explain the Factors Influencing Rural Youth’ Intention toward Job in Agriculture Sector (the case of Baghmalek Township)
Agriculture plays a pivotal role for economic growth and rural development through providing food requirement and job opportunities in developed country. Furthermore, the future development of agriculture in each country is based on rural youth. As such, these are not, of course, completely separate or mutually exclusive; in fact, they should go hand in hand for their future survival. The purpose of this study was to investigate rural youth’ intention toward agriculture jobs in Baghmalek Township. To achieving this purpose the present study uses the theory of Social Cognitive Career, as a research framework. The population of interest was rural youth between 15 to 29 years old in Baghmalek Township. The study sample (270) was selected through a multi stage cluster sampling. The reliability and validity of the instruments were examined and approved. Pearson correlation analysis was revealed that intention had a positive and significant relationship with self-efficacy, expected result, understanding behaviors of others, and facilitation. Also, it had negative relationship with barriers. Multiple regression analysis showed that self-efficacy, outcome expectations, understanding behavior of others, interests, and barriers can predict 74% of variances in youth intention toward agriculture jobs.
https://ijaedr.ut.ac.ir/article_62746_31651daeee5905a249feb74d8cf83709.pdf
2017-06-22
287
298
10.22059/ijaedr.2017.62746
employment in agriculture
Rural youth
intent
Social Cognitive Career Theory
Baghmalek
Ameneh
savari mombeni
amenehsavari@yahoo.com
1
دانشگاه
AUTHOR
Bahman
khosravipour
b.khosravipour@gmail.com
2
دانشگاه کشاورزی و منابع طبیعی رامین
LEAD_AUTHOR
masoud
bradran
3
دانشگاه کشاورزی و منابع طبیعی رامین
AUTHOR
masoud
yazdanpanah
yazdanm@asnrukh.ac.ir
4
دانشگاه کشاورزی و منابع طبیعی رامین
AUTHOR
Aertyaei,F.,CHayzari,M & Gaefari,M.(2011). Factors affecting rural youth participation in agricultural development (case study: the city of Kermanshah). Rural Studies, Volume 2, Number 3, Fall 1390, Ss55-73.(In Farsi)
1
Alibaygi, A., & Karamidehkordi, E. (2009). Iranian Rural Youths’ Intention to Migrate to Urban Areas. Asian and Pacific Migration Journal, 18(2), 303-314.
2
Angba, A. O., Adesope, O. M., & Aboh, C. L. (2009). Effect of socioeconomic characteristics of rural youths on their attitude towards participation in community development projects. International NGO Journal, 4(8), 348-351.
3
Anony mous,M.(2002). Agriculture and Development.[on line ],Availabie on the:www.ngoforum.org.kh/working Group. Issues/civilsociety/ngo,2002/16/htm
4
Bennell, P. (2007). Promoting livelihood opportunities for rural youth. Knowledge and Skills for Development Paper.
5
Borras Jr, S. M., Hall, R., Scoones, I., White, B., & Wolford, W. (2011). Towards a better understanding of global land grabbing: an editorial introduction. The Journal of Peasant Studies, 38(2), 209-216.
6
Brown, S. D., Lent, R. W., Telander, K., & Tramayne, S. (2011). Social cognitive career theory, conscientiousness, and work performance: A meta-analytic path analysis. Journal of Vocational Behavior, 79(1), 81-90.
7
Bullock-Yowell, E., Katz, S. P., Reardon, R. C., & Peterson, G. W. (2012). The roles of negative career thinking and career problem-solving self-efficacy in career exploratory behavior. The Professional Counselor: Research and Practice, 2, 102-114.
8
Conklin, A. M., Dahling, J. J., & Garcia, P. A. (2013). Linking Affective Commitment, Career Self-Efficacy, and Outcome Expectations A Test of Social Cognitive Career Theory. Journal of Career Development, 40(1), 68-83.
9
10. Duffy, R. D., & Lent, R. W. (2009). Test of a social cognitive model of work satisfaction in teachers. Journal of Vocational Behavior, 75(2), 212-223.
10
11. Forward, S. E. (2006). The intention to commit driving violations–A qualitative study. Transportation Research Part F: Traffic Psychology and Behaviour, 9(6), 412-426.
11
12. Glanz, K., Rimer, B. K., & Viswanath, K. (Eds.). (2008). Health behavior and health education: theory, research, and practice. John Wiley & Sons. JSS-17-2-163-08-586.
12
13. Kavoussi,A & Ahmadi,F.(2011). Globalization and Human Resource Development (comparison 62 countries), Global Strategic Studies, the first year the first issue, Winter 2011
13
14. Kim, M. S., & Seo, Y. S. (2014). Social Cognitive Predictors of Academic Interests and Goals in South Korean Engineering Students. Journal of Career Development, 0894845313519703.
14
15. Lent, R. W. (2004). Toward a Unifying Theoretical and Practical Perspective on Well-Being and Psychosocial Adjustment. Journal of Counseling Psychology, 51(4), 482.
15
16. Lent, R. W., & Brown, S. D. (2006). Integrating person and situation perspectives on work satisfaction: A social-cognitive view. Journal of vocational behavior, 69(2), 236-247.
16
17. Lent, R. W., & Brown, S. D. (2006). On conceptualizing and assessing social cognitive constructs in career research: A measurement guide. Journal of Career Assessment, 14(1), 12-35.
17
18. Lent, R. W., Lopez, F. G., Sheu, H. B., & Lopez Jr, A. M. (2011). Social cognitive predictors of the interests and choices of computing majors: Applicability to underrepresented students. Journal of Vocational Behavior, 78(2), 184-192.
18
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44
ORIGINAL_ARTICLE
Factorial Analysis of driving Factors Toward Sustainable Development of Agricultural Production Cooperatives in Naghadeh Township, from the Perspective of Cooperative Members
The main purpose of this research was to identify driving factors toward sustainable development of agricultural production Cooperatives in Naghadeh Township from the perspective of cooperative members. A survey method was used to conduct this study. Data collection tool was a questionnaire and statistical population included members of agricultural production cooperatives of Naghadeh Township (N=778). Krejice and Morgan Table was used to determine the sample size (n=260). A stratified random sampling was implemented to select samples. To determine the validity of the instrument, a panel of faculty members in the department of agricultural extension and education at Tarbiat Modares University was used. Furthermore, in order to gain the reliability of the research tools, Cronbach's Alpha test was used. The value of Cronbach's Alpha test for different parts of the instrument was between 0.78 and 0.82. T-test results showed that there was a significant difference between the kind of cooperative (agricultural and livestock) members in terms of sustainable development. As well as, F-test results showed that between sustainable developments of cooperatives in terms of location, there was a significant difference in the level of error 0.05. Based on the factor analysis results the most important factors affecting the sustainable development of agricultural cooperatives were five factors including "Social-Personality", "Managerial-Extensional", "Economical", "Policy" and "Eenvironmental". The five factors together could explain 54.04 percent of the variance. Therefore, holding training classes, strong management and adequate efforts to institutionalize partnership between the members and legal and financial support relevant institutions recommendations that could be effective in the sustainability of agricultural production Naghadeh Township Cooperatives.
https://ijaedr.ut.ac.ir/article_62747_59b04a5d557bd7ef4066de96c22849a7.pdf
2017-06-22
299
309
10.22059/ijaedr.2017.62747
Sustainable Development
agricultural production cooperatives
factor analysis
Naghadeh Township
Latif
Haji
latifhaji90@gmail.com
1
Tarbiat Modares University
AUTHOR
Mohammad
Chizari
mchizari2002@yahoo.com
2
Professor, Department of Agricultural Extension and Education, Tarbiat Modarres University
LEAD_AUTHOR
Shahlla
Choobchian
shchoobchian@modares.ac.ir
3
Assistant Professor, Department of Agricultural Extension and Education, Tarbiat Modares University
AUTHOR
Abdullahi, M. (1998). Agricultural systems in Iran in the past, present and future. Ministry of Agriculture. (In Farsi).
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3
Amini, A. M., Zeynal Hamadani, A., & Ramazani, M. (2008). Assessment of the Most Important Intra-Organizational Factors in Success of Tehran’s Poultry Cooperatives. JWSS-Isfahan University of Technology, 12(43), 285-295.
4
Aydi, S., Sadi, H. A, & Hosseininia, Gh. H. (2013). The factors affecting in the success of superior cooperatives in theChaharmahal and Bakhtiari Province, Premier. Journal of Regional Planning, (7) 2, pp. 39-59. (In Farsi).
5
Benders, Z; & Nicknami, M. (2013). Identification of Socio-cultural factors affecting in empowerment of rural women's cooperatives in Ilam province. Journal of Research of Agricultural Extension and Education, (3) 6. (In Farsi).
6
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7
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15. Mahmoodzadeh, J., & Sabouri, M. S. (2014). Factors affecting farmerstendency to establish production cooperatives by factor analysis in Mahabad (west Azarbaijan province, Iran). International Journal of Plant, Animmal and Environmental science.4(2), 245-250
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18. Nazarian, M, Hosseini, M & Chizari, M. (2013). Identification of factors affecting in development of entrepreneurship in the agricultural cooperatives in Tehran province. Journal of Research of Agricultural Extension and Education, (3) 6. (In Farsi).
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26. Seleuki, M. & Chizari, M. (2011). Investigate the effectiveness of extensional and educational activities to improve knowledge of agricultural production cooperative members in Semnan province. Journal of Agricultural Research, Extension and Education, 4(1). (In Farsi).
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28
ORIGINAL_ARTICLE
Educational Needs of Fig Growers in Optimal Water Storage Management on Drought Conditions, Case: Estahban County
This descriptive and survey study aimed to identify educational needs of Fig growers in optimal water storage management on drought conditions. The statistical population of the study consisted all of the 4440 Fig growers in Estahban County. Using systematic randomized sampling method and Cochran formula, 350 Fig growers were selected as research samples. Data gathered through a questionnaire and its face validity was confirmed by research committee and researchers of Fig research center of Estahban. Reliability was determined by conducting a pilot study project and Cronbach''s alpha coefficient for the main part of the questionnaire namely educational needs of Fig growers in optimal water storage management was 0.77. Data were analyzed using SPSS/Win19 software. The results showed that educational needs of Fig growers in optimal water storage management were soil texture amendment using sandy-clay soils, proper method of pruning and proper pruning time and determine the volume of any irrigation cycle. Also the correlation results showed that there were significant correlation between variables such as: education, participation in social activities, number refer to the Agricultural Service Center, attendance in extension classes, relationships with friends and neighbors and model farmers, Fig cultivation area, number meet with extension worker, the number of hours reading general newspapers during the day, the average age of the Fig trees, Fig garden distance to Agricultural Service Center, number of hours listening to the radio during the day and optimal water storage management. Also, the mean comparison results showed that there was significant difference between Fig grower’s information about optimal water storage management in terms of gender and main job. This study recommended continuing holding educational classes and attention to the provision of the necessary measures to more communicate and interact between Fig growers and experts and their benefit from expert advice with the centrality of optimal water storage management issue.
https://ijaedr.ut.ac.ir/article_62748_4131be0d6e46fbc100d17da4467d22b4.pdf
2017-06-22
311
321
Drought
water storage management
Educational need
Fig
Estahban county
قاسم
حسینی
hosseini.6891@yahoo.com
1
دانشگاه علوم کشاورزی و منابع طبیعی گرگان
AUTHOR
Mohammad
Mahboobi
mahboobi47@gmail.com
2
Faculty member of Gorgan University of Agricultural Sciences and Natural Resources
LEAD_AUTHOR
احمد
عابدی سروستانی
abediac@yahoo.com
3
دانشگاه علوم کشاورزی و منابع طبیعی گرگان
AUTHOR
مسلم
جعفری
moslem_57@yahoo.com
4
ایستگاه تحقیق انجیر شهرستان استهبان
AUTHOR
Afshar, B. (2004). Non operational of improving agricultural water use regulations. Proceedings of First Conference on problems of irrigation systems, drainage and agricultural water optimal consumption, 30-31May 2004, National Committee on Irrigation and Drainage, Tehran, pp 102-101. (In Farsi)
1
Arabiyazdi, A, Alizadeh, A., & Mohammadian, F. (2009). Study on ecological water footprint in agricultural section of Iran. Journal of Water and Soil. 23 (4), 1-15. (In Farsi)
2
Askari, B & Mousavi, N. (2009). The effects of drought on farm income situation, Case: Marvdasht County. Proceedings of Sixth Conference on Iranian Agricultural Economics, 30-31 October 2009, Iranian Agricultural Economics Association, Mashhad, Ferdowsi University, 1-8. (In Farsi)
3
Barman, S., Pathak, V., & Pathak, P.K. (2013). Training need of tribal farmers in rapeseed production technology of upper Brahmaputra valley zone of Assam. Journal of Academia and Industrial Research, 1 (11), 686-688.
4
Benard, R., Dulle, F., & Ngalapa, H. (2014). Assessment of information needs of rice farmers in Tanzania; A case study of Kilombero District, Morogoro. Library Philosophy and Practice, 1-22.
5
Chizari, M, Karbasioun, M., & Linder, J.R. (1998). Obstacles facing extension agents in the development and delivery of extension educational programs for adult farmers in province of Esfahan, Iran. Journal of Agricultural Education, 39 (1), 55-68.
6
Evans, R., & Skaggs, W. (2004). Agricultural water management for coastal plain soils. North Corolina Cooperative Extension Service, 355p. Available on http://www.bae.ncsu.edu/programs/extension/evans/ag355.html
7
Fathivajargah, K. (2005). Educational planning and educational needs. Tehran, Aiej press. (In Farsi)
8
Heidari, N. (2014). Assess the efficiency index of agricultural water and the performance of policies and programs of water management in this field. Journal of Parliament and Strategy, 21 (78), 177-200. (In Farsi)
9
10. Hosseini, A, Rahimi, M, Kartoolinejad, D., & jafari, M. (2014). Monitoring and mapping of drought using the Standardized Precipitation Index (SPI) and the impact of drought on the production of dry figs in Estahban County. First national conference on Geography, tourism, natural resources and sustainable development, Tehran, Iranian Institute, Center of excellence for planning and sustainable development of tourism, Tehran University, Available in: http://www.civilica.com/Paper-NCGTSD01-NCGTSD01_519.html.
10
11. Kheiri, Sh. (2007). Assess the educational needs of Olive growers to rehabilitation and development of Olive groves, Case: Viayeh village in Rudbar County. MSc thesis, College of Agriculture, Tarbiat Modarres University, Tehran, Iran. (In Farsi)
11
12. Khalid, A.G. A. M., Ahmed, M.H.E., & Khalifa, B.K.H. (2013). Farmers’ Perception of Training Needs, Recommended Technical Packages and Constraints of Production of Main Crops in Gezira Scheme, Sudan. Sudan Journal of Science and Technology, 14 (2), 86-94.
12
13. Karimi, S., & Sadi, H. (2006). Review the educational needs in the field of utilization of soil and water resources. Soil Congress, the environment and sustainable development, 8-9 November 2006, Karaj, Tehran University, College of Agriculture and Natural Resources. http://www.civilica.com/Paper-SESDC-SESDC_009.htm. (In Farsi)
13
14. Levidow, L, Zaccaria, D., Maia, R, Vivas, E, Todorovic, M., & Scardigno, A. (2014). Improving water-efficient irrigation: Prospects and difficulties of innovative practices. Agricultural Water Management, 146, 84-94.
14
15. Mousavi, F, Pezeshkirad, GH., & Chizari, M. (2008). Social characteristics related to exploitators attitudes toward the sustainable management of water resources. Iranian Journal of Agricultural Extension and Education Sciences, 4(2), 43-52. (In Farsi)
15
16. Mtega, W., & Benard, R. (2013). The state of rural information and communication services in Tanzania: a meta-analysis. International Journal of Information and Communication Technology Research, 3(2), 64 – 73.
16
17. Nabiafjadi, S, Shabanali Fami, H., & Rezvanfar, A. (2015). Investigating of farmers' knowledge level about agricultural water management technologies in Falavarjan County. Iranian Journal of Irrigation and Drainage, 2 (9), 242-251. (In Farsi)
17
18. Najafzadeh, R, Rahmati, M., & Arzani, k. (2014). Management and water productivity in rain-fed agriculture. The first National Conference of rainwater catchment systems, pp 1-7. http://www.ircsa.ir/files/site1/maghalate_hamayesh/129.pdf. (In Farsi)
18
19. Ojo, O. D, Connaughton, M, Kintomo, A.A, Olajide-Tawio, L.O., & Afolayan, S.O. (2011). Assessment of irrigation systems for dry season vegetable production in urban and peri-urban zones of Ibadan and Lagos, Southwestern Nigeria. African Journal of Agricultural Research. 6 (2), 236-243.
19
20. Oweis, T., & Hachum, A. (2003). Improving water productivity in the dry areas of West Asia and North Africa. In: Kijne, W.J., Barker, R., Molden, D. (Eds.), Water Productivity in Agriculture: Limits and Opportunities for Improvement. CABI Publishing, Wallingford, U.K. pp. 179-197.
20
21. Purushottam, K.A., & Pandey, S.L. (2008). Training needs of farmers on soil and water conservation in hilly watershed of Uttarakhand state. Indian journal of soil conservation, 18 (1), 23-36.
21
22. Rai, D.P., & Singh, K. (2008). Awareness, attitude and training needs of farmers about recommended practices in watershed development program, Indian Res. Journal of Extension and Education. 8 (2 & 3), 89-92.
22
23. Rezaie, H, Mohammadiyeganeh, B., & Cheraghi, M. (2012). Analysis of drought impacts on the economy of rural areas in Abarkooh County. Journal of Regional Planning, 2 (6), 57-68. (In Farsi)
23
24. Sajeev, M. V, Singha, A.K., & Venkatasubramanian, V. (2012). Training needs of farmers and and rural youth: an analysis of Manipur State, India. Journal of Agricultural Sciences, 3(2), 103-112.
24
25. Singh, R. K. (1999). Farmers' knowledge of late sowed wheat production technology. Indian Journal of Extension Education, 35 (3&4), 255-258.
25
26. Saboori, M. S., & Minaie, A. H. (2009). Classification of educational needs from the viewpoint of greenhouse owners and experts in agriculture in Garmsar County. Agricultural extension and education Research, 2 (3), 33-48. (In Farsi)
26
27. Saboori, M. S, Amani, A., & Hosseini, J. (2006). Factor analysis of training needs of cotton farming from the viewpoint of agricultural extension expertss in Semnan Province. Journal of Agricultural Science, 3 (4), 33-41. (In Farsi)
27
28. Salahourzian, A, Aliniaiefard, S, Abdali, N., & Esmailie, A. (2009). Determine the nutritional value and quality of different varieties of Figs in the Lorestan province. Quarterly Journal of Lorestan University of Medical Sciences, 11 (5), 101-109. (In Farsi)
28
29. Tabatabaifar, V. (2002). Identifying the educational and extension needs of Cotton farmers in crop season 2000-2001, Case: Garmsar County. MSc thesis in agricultural extension and education. Islamic Azad University, Science and Research Branch of Tehran. (In Farsi)
29
30. Yercan, M. (2003). Management turning-over and participatory management of irrigation schemes: a case study of the Gediz River Basin in Turkey.Agricultural Water Management, 62(3), 205-214.
30
31. Zare, H. C., & Zare, E. (2008). Check strategies to reduce drought damage on dry figs and economic and social consequences. Research, Training and Agricultural Extension Organization. Report No 1422/87. (In Farsi)
31
32. Zilberman, D. (2000). The choice of irrigation technologies in California. American Journal of Agricultural Economics, 78 (2), 45-52.
32
ORIGINAL_ARTICLE
Analysis of rural businesses owners’ satisfaction with regard to business development services, Case of Malekan County
Satisfaction of rural business owners is an important factor in sustainability and development as well as economic prosperity and development of rural businesses. This study aimed to analyze the satisfaction of rural business owners regarding the services offered to them in Malekan County, East Azerbaijan Province. The statistical population consisted of 120 rural business owners of Malekan County. This study was an applied research and was done with quantitative and exploratory approach. A questionnaire was used to collect data that its validity and reliability were confirmed by experts’ panel and Cronbach's alpha coefficient, respectively. To analyze data SPSS v. 24 and exploratory factor analysis technique were applied. This technique summarized the variables of satisfaction of rural businesses in six factors including: insurance and facilitate from government and non-governmental Institutions (20.41%), decrease in production cost (11.62%), supporting the local community and profitability (11.08%), sustainability and research and development (10.49%), road and transportation (9.09%), investment and Production equipment (8.68%). The identified factors explained 71.57 % of the variance of satisfaction of rural business owners from services offered to them in Malekan County.
https://ijaedr.ut.ac.ir/article_62749_411574776a6a7a50facd41888f626387.pdf
2017-06-22
323
332
10.22059/ijaedr.2017.62749
services
Satisfaction
Rural businesses
Babk
Imani
babak.imani@ut.ac.ir
1
MS.c. Student , Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran
AUTHOR
Hojat
Varmazyari
varmazyari2007@gmail.com
2
Assistant Professor, Faculty of Agricultural Economics and Development, University of Tehran
LEAD_AUTHOR
Ali
Asadi
aasadi@ut.ac.ir
3
Professor, Faculty of Agricultural Economics and Development, University of Tehran
AUTHOR
Abouei, M.H, Mubad. F, & Fallahnezhad, M.S. (2016). Identify factors influencing satisfaction of suppliers of food distribution companies, Scientific-extension, Journal of Supply chain management, 18(53). (in Farsi).
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Ale Ebrahim, N., Ahmed, S., & Taha, Z. (2010). SMEs; Virtual research and development (R&D) teams and new product development: A literature review [Review]. International Journal of the Physical Sciences, 5(7), 916–930.
2
Benton, W. & Maloni, M. (2005). The influence of power driven buyer/seller relationships on supply chain satisfaction, Journal of Operations Management. 23(1): 1-22.
3
Darbane Astane, A. Ghanbari, M. & Sahraiye Khanghah, M. (2014). Local managers evaluate and analyze the satisfaction of Local Service Organizations Case study: villages of Shirvan city and County, Human Geography Research, 4(46). 771-789. (in Farsi).
4
Essig, M. & Amann, M. (2009). Supplier satisfaction: Conceptual basics and explorative findings.Journal of Purchasing and Supply Management, 15(2): 103-113.
5
Fallahi, E. & Gholinezgad. S. (2014). Identify and ranking factors affecting the satisfaction of the farmers of rice insurance in the province Mazandaran, (AHP). Agricultural Economic research :, 6(21); 121-135 (in Farsi)
6
Fini, R., Grimaldi, R., & Sobrero, M.(2009). Factors fostering academics to start up new ventures: an assessment of Italian founders’ incentives. Journal of Technology Transfer, 34: 380–402.
7
Global Donor platform for Rural Development (GDPRD), Food and Agricultural Organization of the United Nations and The World Bank, (2008). Tracking results in agricultural and rural development in Less-ideal conditions, Washington, DC. Translators: Varmazyari, H., & Jamshidi, O, First Edition, Researches Center of Islamic Council Parliament.
8
Gorsuch, R. L. (1983). Factor analysis (2nd ed). Hillsdale, NJ: Erlbaum.
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10. Hosseinzadeh bahreini, M.S. & Malekosadati, S. (2011). Institutional barriers to investment and business in Iran. Journal Bulletin Commerce, 138, 25-55(in Farsi)
10
11. Hosseinzadeh bahreini.M.H & Malekosadati,S.. (2011), Business investment and institutional barriers in Iran, Journal of Business Research, No5, Vol 15, No 56, pp 25-55
11
12. Irannezhad, M. (2006). Honoring the customer and provide top quality services- fundamental change in the administrative system of the country, Tehran, Journal of administrative change, 6 (49).pp 85-103 (In Farsi).
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13. Johnston, R., & Lawrence, P. R. (1999). Beyond vertical integration–the rise of the value-adding partnership. Thompson, G.(et al.)(Eds.), Markets, hierarchies and networks, The Coordination of Social Life, Sage, London, 193-202.
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14. Jyoti, J., Sharma, J., & Kumari, A. (2011). Factors affecting orientation and satisfaction of women entrepreneurs in rural India. Annals of innovation & entrepreneurship, 2(1), pp1-13
14
15. Kord, B.(2012). Factors associated with empowerment business Small and medium-sized service, Public management research, 5(5), -134. (in Farsi).
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18. Ostadzadeh, Z. (2002). Entrepreneurship, employment and development, Approach Journal, (29) 71-81.(in Farsi).
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19. Saadi, H. (2013). The role of small businesses in providing the basic needs of women’s Heads of rural households in the province of Hamedan. Iran Agricultural Economics and Development Research, 44 (2). 271-282. (in Farsi).
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20. Sarosa, S. (2007). The information technology adoption process within Indonesian small and medium enterprises. University of Technology, Sydney.
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21. Steinle, C., & Schiele, H. (2008). Limits to global sourcing?: Strategic consequences of dependency on international suppliers: Cluster theory, resource-based view and case studies. Journal of Purchasing and Supply Management, 14(1), 3-14.
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Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. American Psychological Association.
23
ORIGINAL_ARTICLE
Identification of relationship between Communication Styles within Three Urban, Rural-Urban and Rural Societies: Field Study of Khorasan-Razavi Iran
The aim of this research is to identify the differences of the communication styles including emotional intelligence, aggressiveness, and passiveness within three urban, rural-urban, and rural societies. In the survey, a number of 312 individuals were selected by random sampling in three zones of Torbat Hedariyeh Township. A combined questionnaire (Baron, Shrink, Boss and Perry) was used to gather data (validity = 0.72 and reliability =0.84). The average EQ, aggression and passivity of the three zones were significantly different. But the average of the passive style of communication was not meaningful. Moreover, there was correlation between educational level and the living zone of the sample society. According to findings, the prediction of aggressive style for the three zones was rejected. Regarding the positive relationship between educational level and EQ, and negative relationship between educational level and aggressiveness and passiveness, upgrading of education in the society will be a promising issue.
https://ijaedr.ut.ac.ir/article_62751_4e476c8fdaca628e3788398cfbdad04b.pdf
2017-06-22
343
353
10.22059/ijaedr.2017.62751
Communication Styles
EQ
aggressive and passive
Society
Rural Development
احمد
خاتون آبادی
ahmad-kh@cc.iut.ac.ir
1
associate professor, Isfahan University of Technology
LEAD_AUTHOR
اسماعیل
علیپور
e.alipoor@ag.iut.ac.ir
2
دانش آموخته دانشگاه صنعتی اصفهان گروه توسعه روستایی
AUTHOR
مریم
عطایی
maryamataie2014@gmail.com
3
مدرس دانشگاه پیام نور اصفهان
AUTHOR
Baron, R. & Markman, G.D. (2003). Beyond social capital: the role of entrepreneurs' social competence in their financial success. Journal of Business Venturing.18(1), 41-60.
1
Baron, R. (2006). The Bar On model of emotional– social intelligence (ESI). Journal of Psicothema, 18, 13-25.
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Brackett, M.A., Mayer, J.D. & Warner, R.M. (2004). Emotional intelligence and its relation to everyday behavior, Journal of Personality and Individual Differences. 36(6), 1387-1402.
3
Cherniss, C. & Goleman, D. (2003). The Emotionally Intelligent Workplace: How to Select For, Measure, and .....
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Ciarrochi, J., Forgas, J. & Mayer, J. (2004). Emotional intelligence in routine life.]
5
Ciarrochi, J., Deane, F.P. & Anderson, S. (2002). Emotional intelligence moderates the relationship between stress and mental health, Journal of Personality and Individual Differences, 32(2), 197-209.
6
Fata, L., Motabi, F., Shakiba, Sh., & Barouti, E. (2008). Components of Emotional-Social intelligence as predictors of mental health. Journal of Psychological Studies, 4(2), 101-124.(In Farsi)
7
Gardner, L. & Stough, C. (2002). Examining the relationship between leadership and emotional intelligence in senior level managers. Emerald 23.
8
Goleman, D. (1995). Emotional intelligence. New York: Bnat ana Books.
9
Gosling, E. (2010). Identity, Place, and Environmental Behavior. Journal of Environmental Psychology, 30(3), 298–304.
10
Jordan, P. J., Ashkanasy, N. M., Hartel C. E. J., & Hooper, G. S. (2002). Workgroup emotional intelligence scale development and relationship to team process effectiveness and goal focus. Journal of Human Resource Management Review. 12, 195-214.
11
Kwaramba, H.M., Lovett, J.C., Louw, L., & Chipumuro, J. (2012). Emotional confidence levels and success of tourism development for poverty reduction: The South African KwameMakana home-stay project. Journal of Tourism Management. 33(4), 885–894.
12
Livarjani, Sh., Gol Mohammad Nezhad, Gh. R. (2008). An investigation of the relationship between gifted and normal female high school students' emotional intelligence and Social skills in Khoy Township in 2009-2010, Journal of Education. 5, 185-210. (In Farsi)
13
Lopes, P. N., Salovey, P. & Straus, R. (2003). Emotional intelligence, personality. and the perceived quality of social relationships, Journal of Personality and Individual Differences. 35(3), 641-658.
14
Mayer, J.D. & Salovey, P. (1993), The intelligence of emotional intelligence, Journal of intelligence, 17(4), 433-442.
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Mayer, J.D., Caruso D.R. & Salovey, P. (1999). Emotional intelligence meets traditional standards for intelligence. Journal of intelligence. 27(4), 267-298.
16
Min, J.C.H. (2012). A short-form measure for assessment of emotional intelligence for tour guides: Development and evaluation. Journal of Tourism Management, 33(1), 155–167.
17
Molaei, E., Asayesh, H., Taghvakish, B., & Ghorbani, M. (2011). Gender Difference and emotional intelligence among the students in Golestan University of Medical Sciences students. Journal of Research Development in Nursing & Midwifery, 8(2), 30-34. (In Farsi)
18
Palmer, B., Donaldson, C. & Stough, C. (2002). Emotional intelligence and life satisfaction. Journal of Personality and Individual Differences. 33(7), 1091-1100.
19
Petrides, K.V., Frederickson, N. & Furnham, A. (2004). The role of trait emotional intelligence in academic performance and deviant behavior at school. Personality and Individual Differences. 36(2), 277-293.
20
Raeisi, P., Kalhor, R., & Azmal, M. (2009). The correlation between emotional intelligence and communication skills of managers of Qazvin educational hospitals. Journal of Qazvin university of Medical sciences, 53(4), 57-62. (In Farsi)
21
Rosete, D. & Ciarrochi, j. (2005). Emotional intelligence and its relationship to workplace performance outcomes of leadership effectiveness. Emerald 26.]
22
Safavi, M., MousaviLotfi, S.M., & Lotfi R. (2009). The correlation between emotional intelligence and Social and emotional adjustment in pre-university Students in Tehran in the academic year 2007-2008, Journal of Shahid Beheshti University of Medical Sciences, 71(5), 255-261.(In Farsi)
23
Soltani-far, A. (2007). Emotional Intelligence. The Quarterly Journal of Fundamentals of Metal Health, 35&36(9), 83-84. (In Farsi)
24
The, A.K.B. (2006). Emotional intelligence (EQ), customer service and sustainable competitive advantage: a case study to assess the importance of emotional intelligence in enhancing customer service in a Malaysian property development company, bringing about a sustainable competitive advantage, DBA thesis, Southern Cross University, Lismore, NSW.
25
Tuan, L.T. (2013). Emotional intelligence as the departure of the path to corporate governance. The international Journal of business in society, 13(2), 148 – 168.
26
ORIGINAL_ARTICLE
Introducing Applied Solutions for Farmers' Participation in Irrigation Management Transfer (Case Study: Ghale-Chay Irrigation and Drainage Network)
Water is one of the obstacles for production throughout the world. Special strategies for water consumption must be employed for coping with water shortage. Management transfer is one of these strategies. The aim of the present study was to introduce some applied solutions of irrigation management transfer to farmers in Ghale-Chay irrigation and drainage network in Ajabshir town of East Azerbaijan province. This study was applied and descriptive in terms of data collection. The population of the study consisted 5129 farmers in three irrigation zones. The sample (N=204) was selected using multistage stratified sampling method, by an appropriate assignment, and Cochran's formula. Two academic staffs and three experts of Ajabshir County Water Bureau were asked to give their opinions on measurement of the content validity of the questionnaire. The value of Cronbach's alpha coefficient for different parts of the questionnaire was between 0.75-0.92. Data were analyzed using SPSS 22 software. Results of path analysis showed that the most direct effect of variables on participation is related to the status of irrigation water (0.335). Three solutions were suggested for entering to management transfer process: the formation of “co-water groups”, “adjacent groups” and “co-culture groups”.
https://ijaedr.ut.ac.ir/article_62752_8d3563ace1b3b8575883353e782e3303.pdf
2017-06-22
355
368
10.22059/ijaedr.2017.62752
"Farmers"
"Irrigation management transfer"
"Irrigation and drainage network"
"Participation manners"
Hossein
Yadavar
hosseinyadavar@gmail.com
1
University of tabriz
LEAD_AUTHOR
Hossein
Kohstani
hkein2004@yahoo.com
2
University of Tabriz
AUTHOR
Shahrir
Kharrazi
shahrirkharrazi@yahoo.com
3
University of Azad
AUTHOR
Ahmadvand, M. & Sharifzadeh, M. (2009). Possibility of forming water users associations. (Case study: Kavar plain of Fars province). Iranian Agricultural Extension and Education Journal, 5 (2), 1-15. (In Farsi)
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2
Bagheri, A.A. & Yadavar, H. (2012). Applied methods for attracting water users' participation in irrigation and drainage networks management in Ardabil province. Ardabil Regional Water Authority, 581-610.
3
Cochran, W. G. (1977). Sampling Techniques. 3rd edition. New York & London: John Wiley & Sors Inc.
4
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5
Jabbari, A. (2004). Irrigation networks management. Goharan-e-Kavir Conference. Ministry of Energy. Tehran, Iran.(In Farsi)
6
Hafied, A. & Gany, A. (2007). Problems and Perspectives of Participatory Irrigation Management under the Small Land-Holding Condition: with a Special Reference to Indonesian Practice.4th Asian Regional Conference and 10th International Seminar on Participatory Irrigation Management. Iran. Tehran. (In Farsi)
7
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8
Kalantari, Kh. (2006). Data processing and analysis in socio-economic research. Tehran: Sharif Publications. (In Farsi)
9
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10
Karimi, R. (2014). Easy guide to statistical analysis by SPSS. Tehran: Ketabetak Publications. (In Farsi)
11
Koopen, B.V. (2002). Poverty Dimensions of Irrigation management transfer in Large Scale Irrigation in Andhrapradesh and Gujarat, Indian International Water Management Institute. Research report 61.
12
Najafi, B. & Shirvaniyan, E. (2006) .Examining obstacles of water users' participation on management of irrigation and drainage networks .Village and development magazine. 3:53-71. (In Farsi)
13
Omid, M. H. (2009). Problem analysis of water users associations on irrigation management transfer (Case study: Tajan, Mogan and Varamin networks). Iranian Soil and Water Research Journal. 2: 167. (In Farsi)
14
Oppenhim, A. N. (1996). Questionnaire design and attitude measurement. (Translated: Marzieh Karimnia). Mashhad: Institution of Astane-e-ghodse razavi publications.
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Ozmen, S. (2014). Evaluation of management transfer of irrigation scheme in Düzce valley located in Western Black Sea Region of Turkey. Department of bio-system engineering, University of Düzce, Düzce, Turkey.
16
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17
Routary, S. (2007). Social dynamics of water management: tradition and change. The 4th Asian Regional Conference & 10th International seminar on participatory irrigation management, May 2-5, 2007, Tehran, Iran. (In Farsi)
18
Shabanalifami, SH. Iravani, H. Zarei, Z. & Mokhtari, A. (2007). Challenges and Necessities of Applying Participatory Approaches and Mechanisms to Agricultural Water Management. Proceeding of the 10th International Seminar on Participatory Irrigation Management. May 2-5, 2007, Tehran, Iran. (In Farsi)
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20
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21
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22
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23
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24
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25
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26
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28