ORIGINAL_ARTICLE
Analyzing the Relationship between Economic Growth, Environmental Quality and Public Health in OPEC Member States: A Panel Data Approach
Public health has always been one of the main concerns of policy makers in different countries, while the speed of economic growth that has led to an increase in emissions of polluting the environment has added to this issue. OPEC member countries are turning to the expansion of the industry based on their oil revenues, which has added to the problems caused by degradation of environmental quality and the level of public health. The purpose of this study is to examine the relationship between economic growth, environmental quality and general health in OPEC member countries, which is estimated using panel models for the years 2016-2000. The results of estimating economic growth models, environmental quality and public health among OPEC members showed that increased economic growth does not improve the environment and there are no conditions for accepting the Kuznets environmental hypothesis. Increasing and improving the accumulation of per capita capital, urbanization rates, public health and education will increase economic growth. In the health sector, promoting health education and increasing the share of per capita health expenditure and reducing CO 2 emissions will improve public health. Therefore, it is recommended that the national development models of the member states contribute to the sustainability of oil revenues in all sectors of the economy.
https://ijaedr.ut.ac.ir/article_78868_988e54f05980af68cc240c32aff646d9.pdf
2020-12-21
635
645
10.22059/ijaedr.2020.285332.668786
economic growth
Environmental quality
OPEC Countries
Public health
Ahmad
Fatahi
fatahiardakani@gmail.com
1
Associate Professor of Agricultural Economics, Faculty of Agriculture and Natural Resources, University of Ardakan, Ardakan, Iran
LEAD_AUTHOR
Seyed Mehdi
Mir
mehdi_mir69@yahoo.com
2
Ph.D. student Department of Agricultural Economics, Faculty of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
AUTHOR
Fateme
Sakhi
fatemesakhi@yahoo.com
3
Ph.D. student Department of Agricultural Economics, Faculty of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
AUTHOR
Ahmadian, M., Abdoli, GH., Jebel Ameli, F., Shabankhah, M., & Khorasani, A. (2017). The impact of environmental degradation on economic growth (Evidence from 32 developing countries. Quarterly Journal of Research on Economic Growth and Development, 7(27), 17-28. (In Farsi)
1
Asgharpour, H., Behboudi, D., & Mohammadi Khamghahi, R. (2013). The Effects of Economic Development and Financial Development on Environmental Quality in selected OPEC member countries. Journal of Environmental Economics and Energy, 2(5), 1-26. (In Farsi)
2
Baltagi, B. (2008). Econometric analysis of panel data, (4th ed.). New Jersy: John Wiley & Sons. Inc., US.
3
Chen, X., Shao, S., Tian, Z., Xie, Z., & Yin, P. (2017). Impacts of air pollution and its spatial spillover effect on public health based on China's big data sample.Journal of Cleaner Production, 142, 915-925.
4
Fang, D., Wang, Q.G., Li, H., Yu, Y., Lu, Y., Qian, X. (2016). Mortality effects assessment of ambient PM2.5 pollution in the 74 leading cities of China. Journal of Science of the Total Environment,569, 1545-1552.
5
Grossman, G. M. & Krueger, A. B. (1993). Environmental impacts of a North-American free-trade Agreement, In P.M. Garber (Eds.), the Mexico–US Free Trade Agreement (pp. 13–56). Cambridge, MA: MIT Press.
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World bank. (2018). Https://datatopics.worldbank.org/world-development-indicators.
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Organization of the Petroleum Exporting Countries. (2018). Https : // www. opec. org/ opec_ web/ en/ data_graphs/330.htm.
8
Hao, Y., Lu, Z.N., Chen, H., Wang, J., Song, X., Mok, T.M., (2017). The dynamic relationship between environmental pollution, economic development and public health: evidence from China. Journal of Cleaner Production, 166, 134-147.
9
10. Kargar Dehbidi, N., & Esmaeili, A. (2016). Impact of economic growth, energy consumption, trade liberalization and urbanization on environmental pollution in the Mena region during the period 1995-2012. Iranian Journal of Agricultural Economics and Development Research, 47(4), 815-824. (In Farsi)
10
11. Mehrabi, H., Jalayi, S.A., Baghestani, A., & Sherafatmand, H. (2010). The Effect of Commercial Liberalization on Environmental Pollution in Iran. Iranian Journal of Agricultural Economics and Development Research, 41(1), 11-19. (In Farsi)
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24
ORIGINAL_ARTICLE
Assessing the Effect of Iran’s Membership in Trade Agreements on Fishery Exports: Poisson Pseudo Maximum Likelihood Approach
Trade agreements play an important role in reducing trade barriers and increasing trade flows among countries. Empirical researches indicate that the presence in trade agreements is not guarantee for increasing exports in all countries and products. Therefore, considering the importance of fishery exports in recent years and lack of study in this area, the aim of this paper is investigating the effect of Iran’s membership in trade agreements on fishery exports. To achieve the purpose, the gravity model and information of Iran’s fishery exports to 25 Asian countries with 88% share is used during the period of 2001-2016. Based on the results, Iran’s membership in the trade agreements has had a positive and significant effect on Iran’s fishery exports to trading partners. The results of the interaction between trade agreements and trade barriers showed that trade agreements reduced the effect of trade barriers such as geographical distance. So, it is suggested that exporters take advantage of the capacity created through the presence of trade agreements to identify new markets and develop appropriate long-term marketing programs to export to these markets.
https://ijaedr.ut.ac.ir/article_78978_7021e97416171d22650ec896bea4103a.pdf
2020-12-21
645
660
10.22059/ijaedr.2019.287561.668807
Fishery Exports
Iran
Trade Agreement
Gravity Model
Poisson Pseudo Maximum Likelihood Estimator
Milad
Aminizadeh
milad.amini@ut.ac.ir
1
Ph.D. candidate of agricultural economics, Ferdowsi university of Mashhad, Mashhad, Iran
AUTHOR
Hosein
Mohammadi
hoseinmohammadi@um.ac.ir
2
Associate professor of agricultural economics, Ferdowsi university of Mashhad, Mashhad, Iran
LEAD_AUTHOR
Alireza
Karbasi
karbasi@um.ac.ir
3
Professor of agricultural economics, Ferdowsi university of Mashhad, Mashhad, Iran
AUTHOR
Hamed
Rafiee
hamedrafiee@ut.ac.ir
4
Assistant professor of agricultural economics, University of Tehran, Karaj, Iran
AUTHOR
Aminizadeh, M., Rafiee, H., Riahi, A., Shangayi, R., & Mehrparvar Hosseini, E. (2015). Formulate priorities of raisin exports Iran in the world market. Iranian Journal of Agricultural Economics and Development Research, 46(2), 363-373. (In Farsi)
1
Asche, F., Bellemare, M.F., Roheim, C., Smith, M.D., & Tveteras, S. (2015). Fair enough? Food security and the international trade of seafood. World Development, 67, 151-160.
2
Bagwell, K., & Staiger, R.W. (2004). Multilateral trade negotiations, bilateral opportunism and the rules of GATT/WTO. Journal of International Economics, 63(1), 1-29.
3
Bellmann, C., Tipping, A., & Sumaila, U.R. (2016). Global trade in fish and fishery products: An overview. Marine Policy, 69, 181-188.
4
Bojanic, A.N. (2012). The impact of financial development and trade on the economic growth of Bolivia. Journal of Applied Economics, 15(1), 51-70.
5
Caporale, G.M., Sova, A., & Sova, R. (2015). Trade flows and trade specialisation: The case of China. China Economic Review, 34, 261-273.
6
Carlucci, D., Nocella, G., De Devitiis, B., Viscecchia, R., Bimbo, F., & Nardone, G. (2015). Consumer purchasing behaviour towards fish and seafood products. Patterns and insights from a sample of international studies. Appetite, 84, 212-227.
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Centre d'Etudes Prospectives et d'Informations Internationales. (2018). CEPII Database. http://www.cepii.fr/.
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Chan, J.M., & Manova, K. (2015). Financial development and the choice of trade partners. Journal of Development Economics, 116, 122-145.
9
Dahl, R.E., & Jonsson, E. (2017). Volatility spillover in seafood markets. Journal of Commodity Markets. In press.
10
Dourandish, A., Aminizadeh, M., Riahi, A., & Mehrparvar Hosseini, E. (2018).Assessing the Role of Trade Sanctions and Global Economic Crisis on Iran’s Saffron Exports. Journal of Saffron Agronomy and Technology, 6(4), 499-511. (In Farsi)
11
FAO. (2012). The state of world fisheries and aquaculture. Food and Agriculture
12
Organization of the United Nations, Rome; London.
13
FAO. (2018). Food and Agriculture Organization of the United Nations. http://www.fao.org/faostat/en/#data/BC.
14
Fulponi, L., & Engler, A. (2013). The Impact of Regional Trade Agreements on Chilean Fruit Exports. OECD Food, Agriculture and Fisheries Papers, No. 64, OECD Publishing, Paris.
15
Gani, A., & Al Mawali, N. R. (2013). Oman's trade and opportunities of integration with the Asian economies. Economic Modelling, 31, 766-774.
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Hoekman, B., & Nicita, A. (2011). Trade policy, trade costs, and developing country trade. World Development, 39(12), 2069-2079.
17
Islamic Republic of Iran Customers Administration. (2018). IRICA Database. Retrieved from: http://www.irica.gov.ir/Portal/Home/.
18
Jacobs, S., Sioen, I., Marques, A., & Verbeke, W. (2018). Consumer response to health and environmental sustainability information regarding seafood consumption. Environmental research, 161, 492-504.
19
Kahouli, B., & Maktouf, S. (2015). The determinants of FDI and the impact of the economic crisis on the implementation of RTAs: A static and dynamic gravity model. International Business Review, 24(3), 518-529.
20
Karbasi, A., & Aminizadeh, M. (2019). Investigating the Effective Factors on Iran’s Pistachio Export With emphasis on the role of Trade sanctions. Journal of Agricultural Economic research, 43, 1-22. (In Farsi)
21
Kareem, O. I. (2016). Food safety regulations and fish trade: Evidence from European Union Africa trade relations. Journal of Commodity Markets, 2(1), 18-25.
22
Moghaddasi, R. and Rahimi, R. (2012). The effects of free trade agreements on agricultural bilateral trade in ECO countries. Journal of Financial Economics, 5(4), 9-22. (In Farsi)
23
Mohammadrezaei, R., Assadollahpoor, F., Rafiee, H., & Pishbahar, E. (2017). Role of Lexicographic Properties on Fish Consumers Regarding Development and Commercialization of New Fish Products. Iranian Journal of Agricultural Economics and Development Research, 48(3), 399-414. (In Farsi)
24
Mohammadi, H., Saghaian, S.M., Aghasafari, H., & Aminizadeh, M. (2018). Assessing the Effective Factors on Agricultural intra-Industry Trade between Iran and Asian Trading Partners. Agricultural Economics, 12(3), 135-153. (In Farsi)
25
Natale, F., Borrello, A., & Motova, A. (2015). Analysis of the determinants of international seafood trade using a gravity model. Marine Policy, 60, 98-106.
26
Okabe, M., & Urata, S. (2014). The impact of AFTA on intra-AFTA trade. Journal of Asian Economics, 35, 12-31.
27
Pishbahar, E., Rahimi, J., Dashti, G., & Ghahremanzad, M. (2015). The effects of agricultural trade instability and volatility on growth of agricultural sector in Iran. Iranian Journal of Agricultural Economics and Development Research, 46(2), 299-310. (In Farsi)
28
Scoppola, M., Raimondi, V., & Olper, A. (2018). The impact of EU trade preferences on the extensive and intensive margins of agricultural and food products. Agricultural Economics, 49(2), 251-263.
29
Shepherd, B., & Wilson, N. L. (2013). Product standards and developing country agricultural exports: The case of the European Union. Food Policy, 42, 1-10.
30
Shepotylo, O. (2016). Effect of non-tariff measures on extensive and intensive margins of exports in seafood trade. Marine Policy, 68, 47-54.
31
Silva, J.M.C., & Tenreyro, S. (2006). the log of gravity. Review of Economics and Statistics, 88(4), 641–658.
32
Tinbergen, J. (1962). Shaping the world economy: Suggestions for an international economic policy. New York, NY: Twentieth Century Fund.
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Toossi, M., Moghadasi, R., Yazdani, S. and Ahmadian, M. (2010). Regionalism and Iran's Agricultural Trade Promotion in Economic Cooperation Organization (ECO). Agricultural Economics, 4(4), 131-157. (In Farsi)
34
Tran, N., Nguyen, A., & Wilson, N.L. (2014). The differential effects of food safety regulations on animal products trade: The case of crustacean product trade. Agribusiness, 30(1), 31-45.
35
Webb, M., Gibson, J., & Strutt, A. (2018). The impact of diseases on international beef trade: Market switching and persistent effects. Food Policy, 75, 93-108.
36
Whalley, J. (1998). Why do countries seek regional trade agreements? In The regionalization of the world economy. University of Chicago Press.
37
Wilson, J.S., & Otsuki, T. (2004). To spray or not to spray: pesticides, banana exports, and food safety. Food policy, 29(2), 131-146.
38
World Trade Organization (WTO). (2018). WTO Database. http://rtais.wto.org/UI/publicMaintainRT AHome.aspx.
39
World Bank. (2005). Global Economic Prospects: Trade, Regionalism, and Development. The International Bank for Reconstruction and Development.
40
World Bank. (2018). World Bank Database. Retrieved from: https://data.worldbank.org/
41
Xing, Y. (2012). Processing trade, exchange rates and China's bilateral trade balances. Journal of Asian Economics, 23(5), 540-547.
42
Yazdani, M., Pirpour, H., & Rahimi, A. (2018). The Effect of Trade Integration on the Efficiency of Iran’s Gas Trade Using the Gravity Model. Journal of Economic Research, 53(4), 989-1018. (In Farsi)
43
ORIGINAL_ARTICLE
Investigating the Rice Energy Efficiency Using Interval
Fuzzy Data Envelopment Analysis Model (Case Study: Rice Farmers in Golestan Province)
In this study, the rice energy efficiency in Golestan was investigated using interval fuzzy (triangular) data envelopment analysis model at different alpha levels in the year 2016-2017. The data required were collected using interviews and completing questionnaire from 286 rice farmers in Golestan province who were selected using simple random sampling. The results showed that at the level of α= 0.25 could be reduce the amount of input energy to 37.99% in upper bound and 1.83 in lower bound without any effect on the output energy (yield). Also, the results showed that at the level α =1 (certainty conditions) two inputs, irrigation water and chemical fertilizer with 33% and 31.2% respectively, and among the types of input energies, non-renewable energies (energy of machinery, chemical fertilizers, pesticides and fossil fuels) with 60% (24117.7 MJ / ha) had the largest share in the production of this product. The use of new technologies in the use of water input such as installing smart meters on various pumps, reducing the consumption of chemical fertilizer by promoting the use of organic fertilizers and proper training in the use of inorganic fertilizers helps a lot to reduce energy consumption in these high-consumption inputs.
https://ijaedr.ut.ac.ir/article_78891_4f373d6c317cf71eef0cdf3758ec44f7.pdf
2020-12-21
661
677
10.22059/ijaedr.2020.283259.668772
Data Envelopment Analysis
Energy Efficiency
Golestan province
Interval Fuzzy
rice
Mostafa
Mardani Najafabadi
mostafa.korg@yahoo.com
1
Assistance professor of agricultural economics, Department of Agricultural Economics, Faculty of Agriculture and Rural development Engineering, Agriculture Sciences and Natural Resources University of Khuzestan, Khozestan, Ahvaz, Iran.
LEAD_AUTHOR
abbas
mirzaei
mabbas1369@gmail.com
2
Assistance professor of agricultural economics, Department of Agricultural Economics, Faculty of Agriculture and Rural development Engineering, Agriculture Sciences and Natural Resources University of Khuzestan, Khozestan, Ahvaz, Iran.
AUTHOR
nasrin
ohadi
nasrin.ohadi@yahoo.com
3
Ph.D candidate agricultural economics, Department of Agricultural Economics, Faculty of Agriculture, University of Sistan-va-Balochestan, Zahedan, Sistan-va-Balochestan, Iran.
AUTHOR
1- Adachi, K., Del Ninno, C. & Liu, D. (2010). Technical Efficiency in Bangladesh Rice Production Are Their Threshold Effects in Farm Size? Poster prepared for presentation at the Agricultural and Applied Economics Association 2010 AAEA, CAES, and WAEA Joint Annual Meeting, Denver, Colorado, July 25-27.
1
2- Ahmadzade, S.S., Kavand, H., Sargazi, A., & Sabohi, M. (2012). Determination the efficiency of rice farmers using Data Envelopment Analysis approach. Journal of Operational Research and its Applications (Applied Mathematics), 9(3), 63-76. (In Farsi)
2
3- Ajabshirchi Oskoei, Y. (2000). Management of energy consumption in agriculture. Master thesis, Faculty of Agriculture, University of Tabriz. (In Farsi)
3
4- Ajabshirchi Oskoei, Y., Taki, M., Abdi, R., Ghobadifar, A., & Iraj, Ranjbar. (2011). Investigating the energy efficiency of rainfed wheat by data envelopment analysis technique. Journal of Agricultural Machinery, 1(2), 122-132. (In Farsi)
4
5- Babaei, M., Paknejad, H., Mardani, M., & Salarpour, M. (2012). Evaluation of Jahrom crop efficiency using Interval Data Envelopment Analysis. Journal of Operational Research and its Applications (Applied Mathematics), 9(4), 43-53. (In Farsi)
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8- Cooper, W. W., Park, K.S., & Yu, G. (1999). IDEA and AR-IDEA: models for dealing with imprecise data in DEA. Management Science, 45, 597–607.
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9- Emami Meibodi, A. (2000). Principles of Measuring Efficiency and Productivity, First Edition, Publishing Institute of Studies and Business Researches, Tehran. (In Farsi)
9
10- Emami Meibodi, A. (2005). Principles of Measuring Efficiency and Productivity, Second Edition, Publishing Institute of Studies and Business Researches, Tehran. (In Farsi)
10
11- Esfandiari, M., Shahraki, J., & Karbasi, A. (2012). Studiy of efficiency and optimal inputs usage for rice production; Case study: Rice producers in Kamfirouz district, Fars province, Agricultural economics, 6(3), 1-24. (In Farsi)
11
12- Esfandiari, M., Yaghoubi, M., Shahabinejad, V., & Karbasi, A. (2013). Efficiency Evaluation of Rice Farmers at South Kamfirouz Region of Marvdasht County: Application of Data Envelopment Analysis Model. Village and Development, 15(1), 65-84. (In Farsi)
12
13- Eskandari cherati, F.A., Bahrami, H., & Asakereh, A. (2011). Energy servey of mechaized andt raditional rice production system in Mazandaran province of Iran. African Journal of Agriculture Research, 6(11), 2565-2570 (In Farsi).
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14- Gundogmus E. (2006). Energy use on organic farming: a comparative analysis on organic versus conventional apricot production on small holdings in Turkey. Energy Conversation Management, 47, 3351-3359. (In Farsi)
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15- Helsel, Zr. 1992. Energy and alternatives for fertilizer and pesticide use. AGRI Science, 6, 177-210.
15
16- Iqbal T. (2007). Energy input and output for production of Boro rice in Bangladesh. Electronic Journal of Environmental, Agricultural and Food Chemistry, 7, 2717–2722.
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17- Jafarian-moghaddam, A.R., & Ghoseiri, K. (2012). Multi-objective data envelopment analysis model in fuzzy dynamic environment with missing values, The International Journal of Advanced Manufacturing Technology,61, 771-785.
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18- Kao C., & Liu S.T. (2003). A mathematical programming approach to fuzzy efficiency ranking. International Journal of Production Economics, 86, 145-154.
18
19- Kavoosi Kalashami, M., Zanipoor, M., Yavari, M., & Adibi, Sh. (2017). Evaluation of the effect of national plan implemention of increasing rice production on technical efficiency of paddy farms (A case study: Pirbazar region of Rasht city), Journal of Management System, 7(2), 155-299. (In Farsi)
19
20- Kordoni, F., Jamialahmadi, M., & Bakhshi, M.R. (2018). Economic analysis of energy use in cereal production of IRAN (Case study: wheat, barley, corn, rice), Journal of Agricultural Economics Research, 10(37), 133-148. (In Farsi)
20
21- Mardani Najafabadi, M., & Taki, M. (2020) Robust data envelopment analysis with Monte Carlo simulation model for optimization the energy consumption in agriculture. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 42(24): 2963-2971.
21
22- Ministry of Agriculture Jihad (2019). Assistance of Planning and Economics, Bureau of Statistics and Information Technology. (In Farsi)
22
23- Nasiri, S.M. & Singh, S. (2009). Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique. Applied Energy, 86(7), 1320-1325. (In Farsi)
23
24- Ohadi, N., Shahraki, J., Pahlavani, M., & Mardani Najafabadi, M. (2019). Evaluation of Carbon- Environmental Efficiency with Imprecise Data by Using Fuzzy Data Envelopment Analysis Approach. The Economic Research, 19(4), 111-129. (In Farsi)
24
25- Peiman, M., Rohi, R., & Alizade, M.R. (2005). Determination of energy consumption in traditional and semi-mechanized methods for rice production (Case study: Guilan Province). Journal of AgriculturalEngineering Research, 6(22), 67-80. (In Farsi)
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26- Ramezani Amiri, H., & Zibaei, M. (2011). Investigating Relationships between the Energy of Consumed Inputs and Yields of Tomato, Cucumber and Melon under Plastic Cover Cultivation in iroozabad of Fars province. Agricultural economics & development, 25(1), 58-65. (In Farsi)
26
27- Rezapour, S., Mortazavi, S.A., & Mojaverian, S.A. (2010). The study of main factors in productivity of paddy producer provinces in Iran, Iranian Journal of Agricultural Economics and Development Research, 41-2(4), 413-576. (In Farsi)
27
28- Sandoghdar, A. (2012). Measurement of Energy and Determination of Economic Indicators of Rice Fields in Mazandaran Province using Data Envelopment Analysis (DEA), Master Thesis, Faculty of Agricultural Engineering and Technology, University of Tehran.
28
29- Shahnavazi, A. (2017). Determining the efficiency rank of irrigated crops in Iranian agricultural sector, Iranian Journal of Agricultural Economics and Development Research, 48(2), 227-240. (In Farsi)
29
30- Shakeri, A., Gorshasbi, A. (2009). Estimation of Technical Efficiency of Rice in Selected Provinces of Iran, Journal of Humanities and Social Sciences, 8(3), 81-96.
30
31- Singh, J.M. (2002). On farm energy use pattern in different cropping systems in Haryana, India. Master Thesis, International Institute of Management University of Flensburg, Germany.
31
32- Wang, K., Zhang, P., Pang, B. (2018). Process and Mechanism of Agricultural Irrigation Benefit Allocation Coefficient Based on Energy Analysis- A Case Study of Henan, China. Sustainability, 10(12), 1-15.
32
33- Wardana, F., Yamamoto, N., Kano, H. (2018). Analysis of Technical Efficiency of Small-Scale Rice Farmers in Indonesia. The Journal of Tropical Life Science, 8(1), 91-96.
33
34- Yazdani, S., Taheri Rikande, O., Mohamadian, F., & Norozi, H. (2017). Diversity of activity, a strategy to promote energy productivity in agricultural (causality analytical approaches Toda-Yamamoto and Bounds test, Iranian Journal of Agricultural Economics and Development Research, 48(4), 547-556. (In Farsi)
34
35- Zheng, S.F., Mou, X.R., & Zhang, Z.Z. (2018). Analysis on the production efficiency and restriction factors of Chinese rice based on DEA model. Journal of Discrete Mathematical Sciences and Cryptography, 21(6), 1215-1218.
35
ORIGINAL_ARTICLE
Herbal Plant’ Supply Chain Network Design in Hamadan Province, By Considering Product Quality And Supply Chain Benefit
Due to diverse ecosystems in Iran, the country has been one of important centers of supplying herbal plants. Hence, the context of herbal plants can act as a valuable resource for increasing non-oil revenue. Current research has investigated how to design a herbal plant’s supply chain network in view points of business and customers. Therefore supply chain of herbal plants of India, Africa, United States, and Iran has been studied. Iran’s Foeniculum vulare Mill herbal plant has a remarkable share in trade market. Razan city in Hamadan province is one of the major planting centers of it. In this article, modeling of supply chain network considers 4 levels which are purchasing material, processing, distribution and customer. Modeling is done by bi- objective MILP to increase two objectives of profit and quality. Research method is quantitative. Outputs of network design are location of processing and distribution centers, also assignment of distribution centers to customers, determining delivering quantities and different transportion modes selection between all active nodes of a network in different levels of the supply chain. Main innovation of the research is application of quality featurs of herbal plants as quality degredation rate. Validation of the model is assessed by real data in the case study. Sensitivity analysis on the results shows that the modeling has the validity and reliability. Effective solutions of the model are shown in a Pareto boundery. The results in one selected point are described. Results of the research can be used for agricultural products with limited shelf life and constant degredation rate and also for herbal plants in priority in national document of herbal plants programming. In order to develope the research, uncertainty of supply and demand parameters can be considered, also multi products supply chain and network of exporting herbal plants can be considered in future studies.
https://ijaedr.ut.ac.ir/article_79070_edd93e6bb495ec29adf520898fecec9b.pdf
2020-12-21
679
698
10.22059/ijaedr.2020.292103.668832
Supply Chain
Network Design
Quality
Foeniculum vulare Mill
Sareh
Khazaeli
khazaeli_sareh@ind.iust.ac.ir
1
Ph. D candidate- industrial engineering department, Iran University of science and technology, Tehran, Iran
AUTHOR
Hadi
Sahebi
hadi_sahebi@iust.ac.ir
2
Assistant professor - industrial engineering department, Iran University of science and technology, Tehran, Iran
LEAD_AUTHOR
Ramazan
Kalvandi
rkalvandi@yahoo.com
3
Assistant professor, Agricultural Research, Education and Extension Organization, Research and education center of agriculture and natural resources, Hamadan, Iran
AUTHOR
Mohammad Saeed
Jabal Ameli
jabal@iust.ac.ir
4
Professor, industrial engineering department- Iran University of science and technology, Tehran, Iran
AUTHOR
Ahumada, O., & Villalobos, J. R. (2009). Application of planning models in the agri-food supply chain: A review. European journal of Operational research, 196(1), 1-20.
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Ahumada, O., & Villalobos, J. R. (2011). Operational model for planning the harvest and distribution of perishable agricultural products. International Journal of Production Economics, 133(2), 677-687.
2
Apaiah, R. K., & Hendrix, E. M. (2005). Design of a supply chain network for pea-based novel protein foods. Journal of Food Engineering, 70(3), 383-391.
3
Arabhosseini, A. (2005b). Quality, energy requirement and costs of drying tarragon (Artemisia dracunculus L). Wageningen University Wageningen.
4
Aung, M. M., & Chang, Y. S. (2014). Temperature management for the quality assurance of a perishable food supply chain. Food Control, 40, 198-207.
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Bilgen, B., & Ozkarahan, I. (2007). A mixed-integer linear programming model for bulk grain blending and shipping. International Journal of Production Economics, 107(2), 555-571.
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commision, s. o. t. (2015). Iran Good Agricultural Practices (IRAN
7
GAP) – Control points and compliance
8
criteria for medicinal and ornamental plants
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10. – General requirements.
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11. de Keizer, M., Akkerman, R., Grunow, M., Bloemhof, J. M., Haijema, R., & van der Vorst, J. G. (2017). Logistics network design for perishable products with heterogeneous quality decay. European Journal of Operational Research, 262(2), 535-549.
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12. Delfan E., A. K. (2020). Ethnobotany of Native Medicinal Plants in Zagheh and Biranshahr districts, Lorestan Province, Iran. echo phytochemistry of herbal plants, 7(4), 64-82.
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13. Gennari, P., Heyman, A., & Kainu, M. (2015). FAO Statistical Pocketbook. World food and agriculture. Food and Agriculture Organization of the United Nations, Rome, Italy.
13
14. Hishe, M., Asfaw, Z., & Giday, M. (2016). Review on value chain analysis of medicinal plants and the associated challenges. Journal of Medicinal Plants Studies, 4(3), 45-55.
14
15. Khalaj, h., Labbafi, H. A. M., Hasan Abadi, T., Shaghaghi, J., & Hajiaghaee, R. (2019). A Review on the Botanical, Ecological, Agronomical and Pharmacological Properties of the Fennel (Foeniculum vulgare Mill.). Quarterly journal of herbal plants, 18-1(69).
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16. Labuza, T. P. (1982). Shelf-life dating of foods: Food & Nutrition Press, Inc.
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17. Madhavan, H. (2008). Linking tribal medicinal plant co-operatives and ayurvedic manufacturing firms for better rural livelihood and sustainable use of resources.
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18. Mander, M., Ntuli, L., Diederichs, N., & Mavundla, K. (2007). Economics of the traditional medicine trade in South Africa: health care delivery. South African health review, 2007(1), 189-196.
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19. Mason, S. J., Ribera, P. M., Farris, J. A., & Kirk, R. G. (2003). Integrating the warehousing and transportation functions of the supply chain. Transportation Research Part E: Logistics and Transportation Review, 39(2), 141-159.
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20. Melo, M. T., Nickel, S., & Saldanha-Da-Gama, F. (2009). Facility location and supply chain management–A review. European journal of operational research, 196(2), 401-412.
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21. Mohebalizadehgashti, F., Zolfagharinia, H., & Amin, S. H. (2020). Designing a green meat supply chain network: A multi-objective approach. International Journal of Production Economics, 219, 312-327.
21
22. Mojaverian S. M., A. K. S., Amin Ravan M.,. (2016). Determining the export target market of Iran's herbal plants. Iranian Journal of Agricultural Economics and Development Research, 46(4), 729-737.
22
23. Movahedi Reza, S. d. H., Akbari S. ,Azizi M. . (2013). unemployment pathology of agriculture graduated students. Iranian Journal of Agricultural Economics and Development Research, 44(4), 679-692.
23
24. Nakandala, D., Lau, H., & Zhang, J. (2016). Cost-optimization modelling for fresh food quality and transportation. Industrial Management & Data Systems.
24
25. Nassabian Shahriar, G. H., Jabal Ameli F. (2012). comparison of competetive advantage of Iran herbal plants with other countries. Quarterly journal of economical modelling, 6(20), 75-92.
25
26. Quiroz, D., Towns, A., Legba, S. I., Swier, J., Brière, S., Sosef, M., et al. (2014). Quantifying the domestic market in herbal medicine in Benin, West Africa. Journal of Ethnopharmacology, 151(3), 1100-1108.
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27. Rantala, J. (2004). Optimizing the supply chain strategy of a multi-unit Finnish nursery company. Research article, 154, 13
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28. Rong, A., Akkerman, R., & Grunow, M. (2011). An optimization approach for managing fresh food quality throughout the supply chain. International Journal of Production Economics, 131(1), 421-429.
28
29. Savari Moslem, A. M. E., Mirakzadeh A. A. . (2013). students' willing analysis to develope small businesses, case study: agriculture and natural resources students of Razi university of Kermanshah. Iranian Journal of Agricultural Economics and Development Research, 43(4), 737-749.
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30. Shukla, M., & Jharkharia, S. (2013). Agri-fresh produce supply chain management: a state-of-the-art literature review. International Journal of Operations & Production Management, 33(2), 114-158.
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31. Singh, K. (2009). Scope of medicinal and aromatic plants farming in Eastern India. Engineering Practices for Agricultural Production and Water Conservation, (scope of emerging agricultural crops), 223- 250
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32. Soto-Silva, W. E., González-Araya, M. C., Oliva-Fernández, M. A., & Plà-Aragonés, L. M. (2017). Optimizing fresh food logistics for processing: Application for a large Chilean apple supply chain. Computers and Electronics in Agriculture, 136, 42-57.
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33. Soysal, M., Bloemhof-Ruwaard, J. M., Meuwissen, M. P., & van der Vorst, J. G. (2012). A review on quantitative models for sustainable food logistics management. International Journal on Food System Dynamics, 3(2), 136-155.
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36
Vaughan, R. C., Munsell, J. F., & Chamberlain, J. L. (2013). Opportunities for enhancing nontimber forest products management in the United States. Journal of Forestry, 111(1), 26-33
37
ORIGINAL_ARTICLE
Modeling the Optimal Use of New Technologies for Water Conservation among Farmers
The purpose of this study was to investigate the factors affecting behavior of using new technologies for water conservation among farmers in Sari County. That was done by adopting the Davis model. The population of the study consisted of 30788 farmers in Sari County that 220 were selected through multistage random sampling. The research tool was a questionnaire which its validity determined through sustainable agriculture expert and Diagnostic validity with using an average variance extracted (AVE). The reliability was confirmed with using Cronbach's alpha and composite reliability (CR). To explain the effectiveness, factor analysis and structural equation modeling with LISREL software, version 8.80 was used. According to the findings, water conservation behavior was relatively low in 40.9% of farmers. According to the results of the optimal model of using new water conservation technologies, farmers directly explained different dimensions of attitude 82% of the variance of the intention to water conservation behavior. Also, the intension to behavior of explained about 58% of the variance of water conservation behavior in farmers. Farmers' perceptions of technology (perceived of usefulness and perceived ease of use) was able to explain 91% of the variance of attitude, 75% of variance of intention to use and 52% of variance of water conservation behavior.
https://ijaedr.ut.ac.ir/article_78906_0cdbcf3c51f8cae76aaac50dd4e1bfd0.pdf
2020-12-21
699
714
10.22059/ijaedr.2020.306553.668930
Water Resource Management
sustainable agricultural development
Davis Technology Acceptance Model
Attitude
Fatemeh
Razzaghi
razzaghi.fatemeh@gmail.com
1
Assistant Professor, Department of Agricultural Extension and Education, Faculty of Crop Sciences, Sari Agricultural Sciences and Natural Resources University. Sari.Iran
LEAD_AUTHOR
Mahdieh Sadat
Mirtorabi
msmirtorabi@yahoo.com
2
Graduate PhD. Agricultural Extension, Department Agricultural Extension and Education, University of Tehran, Karaj, Iran
AUTHOR
Abdollahzadeh G., Sharifzadeh M.S., & Khajeshahkohi A. (2015). Evaluation and comparison of sustainability levels of rice production in Sari County. Space Economy and Rural Development, 4(3), 111-135. (In Farsi)
1
Agriculture Jihad-e' Management of Sari (2016). Agricultural perspective of Sari County. Available in: http://jkmaz.ir/Home/ShowDetailsMenuContent?MenuId=2491
2
Ahmadi, K., Ebadzade, H.R., Hatami, F., Hosseinpour, R., & Abdeshah, H. (2019a). Agricultural Statistics 2018. Volume 3 Horticultural Products. Ministry Of Jihad-E-Agriculture, Deputy for Planning and Economy, Information and Communication Technology Center. First Edition, 166 Pages. (In Farsi)
3
Ahmadi, K., Ebadzade, H.R., Hatami, F., Hosseinpour, R., & Abdeshah, H. (2019b). Agricultural Statistics of the Crop Year 2017-18. the First Volume of Crops. Ministry Of Jihad-E-Agriculture, Deputy for Planning and Economy, Information and Communication Technology Center. First Edition, 95 Pages. . (In Farsi)
4
Alambaigi, A. & Akbari, M. (2020). Human-water resources interface in agriculture sector of Iran: A historical-theoretical understanding. Iranian Journal of Agricultural Economics and Development Research, 2(51), 361-376. . (In Farsi)
5
Azami, A., Zarafshani, K., Dehghani Sanich, H., & Gorji, A. (2011). Determine farmers’ satisfaction towards pressurized irrigation systems in Kermanshah Province. Journal of Water and Soil, 25(4), 845-853. (In Farsi)
6
Behbahani Motlagh, M. Sharifzadeh. M. Sh., Abdollahzadeh, Gh. & Mahboobi. M.R. (2017). Farmers' adoption behavior of pressurized irrigation technology in Dashtestan County. Iran Agricultural Extension and Education Journal. 13(1), 89-103.
7
Chuchird, R., Sasaki, N., & Abe, I. (2017). Influencing factors of the adoption of agricultural irrigation technologies and the economic returns: a case study in Chaiyaphum Province, Thailand. Sustainability, 9, 15-24.
8
Damisa, M.A., Abdolsalam, Z., & Kehinde A. (2008). Determinants of farmers’ satisfaction with their irrigation system in Nigeria. Trends in Agricultural Economics. 1(1), 8-13.
9
Emadi, M. (2019). Reduction of groundwater level by one to two meters in Mazandaran. Director of Water Resources Conservation of Mazandaran Regional Water Company. Https://B2n.Ir/404854. (In Farsi)
10
Eshaghi, R., Hejazi, Y., Rezvanfar, A., & Alambaigi, A. (2017). Logic analysis of the dimensions of innovation and attitude effects on the Environmental behavior of Ardabil Province Rural in Relation to Conservation Technology. Iranian Journal of Agricultural Economics and Development Research, 48(1), 79-92. (In Farsi)
11
Fabian, V.H. (2013). Facilitating conservation agriculture in Namibia through understanding farmers’ planned behavior and decision making. Second Cycle, A2E. Alnarp: SLU, Department of Work Science, Business Economics, and Environmental Psychology.
12
FAO. (2017). Water for sustainable food and agriculture. A report produced for the G20 Presidency of Germany, Rome, and 2017.1-33pp.
13
Farhadi, F. (2019). IRNA. New Irrigation in 2,000 Hectares of Gardens and Farms in Mazandaran. Director of Water, Soil and Technical and Engineering Affairs of Mazandaran Jihad Agriculture Organization. Https://B2n.Ir/783692. (In Farsi)
14
Gebrehaweria Gebregziabher, G. Giordano, M.A., Langan S. & Namara R.E. (2014). Economic analysis of factors influencing adoption of motor pumps in Ethiopia. Journal of Development and Agricultural Economics. 6(12), 490-500.
15
Gholikhani, N., Hosseini, S.M., & Omidi nahafabadi, M. (2013). Investigating Factors Affecting Adoption on Innovations Related to Advanced Irrigation Systems by Farmers in the Karaj Township. Journal of agricultural extension and education research. 2 (22), 37-48.
16
Hair, J., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2017). A Primer on partial least squares structural equation modeling (PLS-SEM). Second Edition. Printed In The United States of America, 374pp. SAGE Publications, Inc.
17
Hair, J., Ringle, C.M., Sarstedt, M. & Ringle, C.M. (2019). When to Use and How to Report the Results of PLS-SEM. Emerald Publishing Limited (EBL), 31(1), 2-24.
18
Hoghoghi Isfahani, M. (2013). Water resources systems in Iranian agriculture. Samar Publishing In Collaboration with the Iranian Advisory Society. 400pp. (In Farsi)
19
Hong, S.J, Thong, J.Y.L. & Tam, K.Y. (2006). Understanding continued information technology usage behavior: a comparison of three models in the context of Mobile Internet. Decision Support Systems: 42, 1819-1834.
20
Hooman, H.A. (2014). Structural Equation Modeling with LISREL Application. SAMT Publishment, 340pp. (In Farsi)
21
Kalantari, Kh. (2009). Structural equation modeling in socio-economic research (With LISREL And SIMPLIS Software). First Edition, Tarh & Manzar Consulting Engineers, 244pp. (In Farsi)
22
Khalili Joybari, R., Redaei, M. Baghban Jalodar, A. & Bahramnejad, F. (2018). Abstract of Mazandaran Province Planning Studies. Prepared By The Management And Planning Organization - Deputy For Program And Budget Coordination - Planning And Productivity Group. (In Farsi)
23
Khan, S., Hanjra, M.A., & Mu, J. (2009). Water Management and Crop Production for Food Security in China: A Review. Agricultural Water Management, 96(3), 349-360.
24
Kulkarni, S. (2011). Innovative technologies for water saving in irrigated agriculture. International Journal of Water Resources and Arid Environments. 1(3), 226-231.
25
Lee, S. & Kim, B.G. (2009). Factors affecting the usage of intranet: a confirmatory study. Computers in Human Behavior, 25: 191-201.
26
Yazdanpanah. M., Zobaidi. T., Salahi-Moghaddam. N. & Rouzaneh. D. (2019). Factors affecting adoption of modern irrigation technology by farmers (The Case of Behbahan Township). Iran Agricultural Extension and Education Journal.15 (1), 127-141. (In Farsi)
27
Mahboubi, M.R., Esmaeilie, M. & Yaghobi, J. (2011). Impeding and facilitating factors influencing on using new irrigation methods by farmers: case of West Boshroyeh Township in Southern Khorasan. Journal of Water and Irrigation Management, 1(1): 87-98. (In Farsi).
28
Michailidis, A., Koutsouris, A., & Nastis, S. (2011). Adoption of sustainable irrigation practices in water scarce areas. Bulgarian Journal of Agricultural Science, 17(5), 579-591.
29
Nabiafjadi, S., Shabanali Fami, H., & Rezvanfar, A. (2015). Investigating of farmers knowledge level about agriculture water management technologies in Falavarjan County. Iranian Journal of Irrigation and Drainage. 2(9), 242-251.
30
Nejadrezaei. N., Allahyari. M.S. Sadeghzadeh. M., Michailidis. A. & Hamid El Bilali. A. (2018). Factors Affecting Adoption of Pressurized Irrigation Technology among Olive Farmers in Northern Iran. Applied Water Science. 8(190):1-9.
31
Nejati, B. (2011). Comparison of water efficiency in agricultural utilization systems (Case Study: Agricultural Subdivision of Khosf District). Master's Thesis in Geography and Rural Planning. Faculty of Literature and Humanities. Birjand University. (In Farsi)
32
Noroozi, O., & Chizari, M. (2006). Effective cultural and social factors regarding attitude of wheat farmers of Nahavand Township toward sprinkler irrigation development. Iranian Agricultural Extension and Education Journal, 2(2), 59-69. (In Farsi)
33
Pino, G., Toma, P., Rizzo, C., Miglietta P.P., Alessandro M. P. & Guido, G. (2017). Determinants of farmers’ intention to adopt water saving measures: evidence from Italy. Sustainability, 9(77), 1-14.
34
Rafiei Darani, H., & Bakhshudeh, M. (2008). Investigating the factors affecting the development and acceptance of sprinkler irrigation (A Case Study of Isfahan Province). Iranian Journal of Agricultural Economics and Development Research Journal. 39 (1), 21-30.
35
Rahimifayzabad, F., Yazdanpanah, M., Forouzani, M., & Mohammad Zadeh, S. (2016). Determining the factors affecting farmer’s water conservation behavior in Selsele Township: application of the norm activation model. Iranian Journal of Agricultural Economics and Development Research, 47(2): 379-390.(In Farsi)
36
Razzaghi Borkhani, F. (2016). Designing a model for establishing good agricultural practices for garden sustainability. Ph.D. of Agricultural Extension, Faculty of Agricultural Economics and Development, University of Tehran. . (In Farsi)
37
Reimer, A. P., Weinkauf, D. K. & Prokopy, L. S. (2012). The influence of perceptions of practice characteristics: an examination of agricultural best management practice adoption in two Indiana watersheds. Journal of Rural Studies, 28(1): 118–128.
38
Rezaei, R.., Safa, L. & Ganjkhanloo, M.M. (2020). Understanding farmers’ ecological conservation behavior regarding the use of integrated pest management- an application of the technology acceptance model. Global Ecology and Conservation, 22,1-18.
39
Saatsaz, M. (2020). A historical investigation on water resources management in Iran. Environment, Development and Sustainability, 22, 1749–1785.
40
Shahroodi A.S. & Chizari,M. (2006). Water users’ cooperative strategy to realize the sustainable management of agricultural water conservation. Jihad Magazine, 247, 109-92. (In Farsi).
41
Zhang, B., Fu, Z., Wang. J., & Zhang, L. (2019). Farmers’ adoption of water-saving irrigation technology alleviates water scarcity in Metropolis Suburbs: A case study of Beijing, China. Agricultural Water Management, 212, 349-357.
42
ORIGINAL_ARTICLE
A Study on the Effects of Nutritional Awareness and Attitude on Rural Households’ Food Security Level (The Case of Zanjan County)
The main purpose of this research was to investigate the effects of nutritional awareness and attitude on rural households’ food security level in Zanjan County. The statistical population of the study was 25864 rural household heads of Zanjan County among which 353 persons were selected using a stratified sampling method with proportional allocation. A questionnaire was used to collect the data. A panel of experts at University of Zanjan confirmed the face validity of the questionnaire. Additionally, the construct validity (including convergent, divergent, and nomological validity) and composite reliability of the research instrument were obtained by estimating measurement model and after making necessary corrections. The data were analyzed using SPSS and AMOS software. The descriptive results of the research showed that the level of food security for the majority of respondents was low. Moreover, the results of the structural equation modeling revealed that two variables of nutritional awareness and nutritional attitude and its components including food hygiene, food safety and health, nutritional value and food price and quality had positive and significant effects on rural household heads’ food security level explaining about 68 percent of its variances. Based on the findings of this research, it can be concluded that improving villagers’ nutritional attitude and awareness, especially by providing them with the necessary educations is one of the basic preconditions for increasing food security among them.
https://ijaedr.ut.ac.ir/article_78907_108b760917abc2970519f0afcde895cf.pdf
2020-12-21
715
730
10.22059/ijaedr.2020.301549.668903
Education
Nutritional awareness
Nutritional attitude
Insecurity food
Akram
Jozi
akram.jozi@znu.ac.ir
1
MSc. in Agricultural Extension and Education, Faculty of Agriculture, University of Zanjan, Zanjan, Iran
AUTHOR
Leila
Safa
safa@znu.ac.ir
2
Assistant Prof. of Agricultural Extension and Education, Faculty of Agriculture, University of Zanjan, Zanjan, Iran
LEAD_AUTHOR
Nafiseh
Salali Moghadam
nafiseh.salahi@znu.ac.ir
3
PhD. Student in Agricultural Extension and Education, Faculty of Agriculture, University of Zanjan, Zanjan, Iran
AUTHOR
Ahmadifirouzjaie, A., Shabanali Fami, H., Notiee, N., & Mohammadi Nasrabadi, F. (2016). An analysis of seasonal changes of household food security status among smallholder farmers in Mazandaran Province. Iranian Journal of Agricultural Economics and Development, 47(2), 499-510. (In Farsi)
1
Azadbakht, L., Mirmiran, P., Momenan, A., & Azizi, F. (2004). Evaluation of knowledge, attitude and performance of secondary and high school students in healthy nutrition in district 13 of Tehran. Iranian Journal of Endocrinology and Metabolism, 5(4), 409-416. (In Farsi)
2
Bartlett, J., Kotrlik, J., & Higgins, C. (2001). Organizational research: Determining appropriation sample size in research. Information Technology, Learning, and Performance Journal, 19(1), 43-50.
3
Bedeke, S. (2012). Food insecurity and copping strategies: A perspective from Kersa. Food Science and Quality Management, 5,19-27.
4
Behroozeh, S., & Shahvali, M. (2016). Comparison of food security villagers with different attitude and nutritional culture in three zones of climate South of Kerman Province. Journal of Rural Research, 7(3), 454-469. (In Farsi)
5
Boluda, K., & Capilla, V. (2017). Consumer attitudes in the election of functional foods. Spanish Journal of Marketing, 21, 65-79.
6
Charaghi, M., Ghadiri Masom, M., & Rezvani, M.R. (2016). The role of non-agricultural incomes in food security of rural households. Journal of Food Technology and Nutrition, 13(4), 71-78. (In Farsi)
7
Charaghi, M., Yeghaneh, Y., & Eskandari Shahraki, Z. (2018). Analysis of geographic factors affecting the of rural household's food security (Case study: Township of Zanjan). Journal of Geographical Engineering of Territory, 2(3), 47-58. (In Farsi)
8
Coates, J., Swindale, A., & Bilinsky, P. (2007). Household Food Insecurity Access Scale (HFIAS) for measurement of household food access: Indicator guide (Version 3). Washington, D.C., Food and Nutrition Technical Assistance III Project (FANTA), U.S. Agency for International Development (USAID).
9
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43
ORIGINAL_ARTICLE
Constituent Components of Rural Women's Microenterprise Ecosystem; Study in Guilan and Mazandaran provinces
In recent decade, improving of business ecosystem has attracted the attention of policy-makers. In the research area, although some studies appraised efficacious factors on development of country's business ecosystem in its general meaning, its identification and conceptualization in specific subject areas have been neglected. In this regard, the current exploratory study has been conducted in order to identification and explanation of constituent components of rural women's enterprise ecosystem in Guilan and Mazandaran provinces. Research sample individuals have been selected in terms of non-probability sampling. The qualitative data were collected by conducting detailed semi-structured interviews to obtain theoretical saturation, and then analyzed through applying ATLAS.ti software. Finding of this section categorized the conceptual emergent codes from detailed interviews with 24 key informants into 9 super-families of constituent components of rural woman's enterprise ecosystem. Consequently, applying a researcher-made questionnaire, the 9 emergent categories were reciprocally compared in the hierarchical analysis process with the use of Super Decision software. Findings showed rural woman's enterprise ecosystem has different entity, combination and priorities in comparison to large-scale industrial enterprises and even small rural enterprises controlled by men. Among resulting conceptual categories, market condition; government's main strategies and politics; regulations; physical and biological infrastructures had the highest weights respectively, with a considerable interval from the other components, implying on their priorities and attention necessity in supportive projects for rural women's regional enterprises.
https://ijaedr.ut.ac.ir/article_78908_97e1013c2b8cdc3b4b4149a1a7a406d4.pdf
2020-12-21
731
744
10.22059/ijaedr.2019.290428.668827
Rural Development
rural microenterprises
Women Empowerment
agricultural value chain
Maryam
Tahmasbi
maryamtahmasbi1359@yahoo.com
1
PhD. Student in Agricultural Extension of Agriculture and Natural Resources University of Khozestan, Ahvaz, Iran
AUTHOR
Bahman
Khosravipour
b.khosravipour@gmail.com
2
Professor of Agricultural Extension and Education Department, Agricultural Science and Natural Recourses University of Khuzestan, Ahvaz, Iran
AUTHOR
MASOUD
BARADARAN
masoudbaradar@yahoo.com
3
Associate Professor of Agricultural Extension and Education Department, Agricultural Science and Natural Recourses University of Khuzestan, Ahvaz, Iran
LEAD_AUTHOR
Mansour
Ghanian
m_ghanian@yahoo.com
4
Associate Professor, Agricultural Extension and Education Department, Agricultural Science and Natural Recourses University of Khuzestan, Ahvaz, Iran
AUTHOR
Agahi, H., Mirakzadeh, A. & Taghi Beigi, M. (2012). Prioritization of Effective Factors in the Development of Household Jobs in West Islamabad. Journal of Women and Society. 3 (11), 181-202.In Farsi
1
Alimirzaei, E., Hoseini, S. M., Hejazi, Y. & Movahed Mohammadi, H. (2017). Indicators for Evaluating the Private Enterprises Providing Agricultural Extension and Advisory Services. Iranian Journal of Agricultural Economics and Development Research. 48 (3), 491-505. In Farsi
2
Amiri, M., Zali, M. & Majd, M. (2009). Limitation on Emergent Businesses. Journal of Entrepreneurship Development. 2 (1), 81-102. In Farsi
3
Davari, A., Ramezanpor Nargesi, G., Afrasiabi, R. & Davari, E. (2018). Effect of Entrepreneurship and Business Environment Policies on Entrepreneurship Development. Journal of Entrepreneurship Development. 11 (2). 321-339. In Farsi
4
Elena, H., Sorina, M. & Rus, D. (2015). A predictive model of innovation in rural entrepreneurship. Journal of Procedia Technology. 19)3). 471-478.
5
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6
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7
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8
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9
10. Ganle, J. K., Afriyie, K. & Segbefia, A. Y. (2015). Microcredit: Empowerment and Disempowerment of Rural Women in Ghana. Journal of World Development. 66(9), 335-345.
10
11. Gelard, P., Hosseiny, M. & Asgari, E. (2017). The Relationship between Social Networks and Performance of Women's Businesses: The Mediating Role of Entrepreneurial Alertness and Gender Discrimination. Journal of Entrepreneurship Development. 10 (2), 299-318. In Farsi
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13. Ghasemi, M. & Javan, J. (2014). Clarification of the Relationship between Diversification of Economic Activities and Sustainable Rural Development Case Study: Mashhad Township. Journal of Rural Research. 5 (2), 237-466. In Farsi
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15. Hemmati Vineh, H., Abedi-Sarvestani, A., Abdollahzadeh, G. & Mahboubi, M. (2012). Home Employment and Obstacles of Women’s Enterprises; A Study on Rural Women in Kermanshah County. National Conference on Entrepreneurship and Management of Knowledge-based Enterprises. Fall 2012, Mazandaran, Iran. In Farsi
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19
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21. Phillipson, j., Tiwasinga, p., Gorton, m., Maioli, S., Newbery, R. & Turner, R. (2019). Shining a Spotlight on Small Rural Businesses: How Does Their Performance Compare with Urban? Journal of Rural Studies. 68(5), 230-239.
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36
ORIGINAL_ARTICLE
Prioritizing the Applications of Internet of Things in the Agriculture by Using Sustainable Development Indicators
The agricultural sector is going to face enormous challenges in order to feed the 9.6 billion people that the FAO predicts are going to inhabit the planet by 2050: food production must increase by 70% by 2050, and this has to be achieved. The advent of Internet of Things (IoT) that is the hot points in the Internet field has shown a new direction of innovative research in agricultural domain. Hence, in this research we seek to identify the applications of IoT in smart agriculture. This research is an applied research in nature and it would be classified as qualitative regarding data collection. In order to identify the usages of IoT in smart agriculture with the help of meta-synthesis approach, at first we have examined 480 researches among which only 168 have been selected for the final analysis, then we categorized them in 8 area of agriculture that consist of “farming”, “greenhouse”, “urban agriculture”, “Smart Gardening”, “smart fishery”, “smart forestry”, “smart livestock” and “smart supply and distribution network”. based on data analysis applications in 6 categories of “monitoring”, “control”, “tracing”, “diagnosis” and “descriptive planning” are categorized. Finally, agricultural area based on sustainable development indicators are respectively: smart greenhouse, smart supply and distributions network of agriculture, smart livestock, smart Gardening, smart fishery, smart farming, smart forestry and smart urban agriculture.
https://ijaedr.ut.ac.ir/article_78910_9878bbc4a43b24daad70a5b89796e33b.pdf
2020-12-21
745
759
10.22059/ijaedr.2020.282000.668759
Internet of Things
Smart agriculture
Innovation
Sustainable Development
Ayoub
Mohammadian
mohamadian@ut.ac.ir
1
Assistant Professor of Information Technology (IT) Management, Faculty of Management, University of Tehran, Tehran, Iran
LEAD_AUTHOR
Jalil
Heidaridehooie
heidarid@ut.ac.ir
2
Associate Professor of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
AUTHOR
Alireza
Qorbani
ali.reza.qorbani@ut.ac.ir
3
MSc. Student of Information Technology (IT) Management, Faculty of Management, University of Tehran, Tehran, Iran
AUTHOR
Arun Gnanaraj, A., & Gnana Jayanthi, J. (2016). Smart, connected IoT applications for maximizing agricultural business performance. International Journal of Control Theory and Applications, 9(27), 313–319. Retrieved from http://www.serialsjournals.com/serialjournalmanager/pdf/1477480165.pdf
1
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4
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55
Williams, J., Alter, T., & Shrivastava, P. (2018). Systemic governance of sustainable agriculture: Implementing sustainable development goals and climate-friendly farming. Outlook on Agriculture, 47(3), 192-195. doi:10.1177/0030727018795907
56
Zarei, M., Mohammadian, A., & Ghasemi, R. (2016). Internet of Things in Industries: a Survey for Sustainable Development. Innovation and Sustainable Development, 10(4), 419-442.
57
Zarifian., Sh., (2018).Factors Affecting the Adoption of Trickle Irrigation by Palm Cultivators of Dashtestan, Iranian Journal of Agricultural Economics and Development Research, 48(4), 647-655 (In Farsi).
58
ORIGINAL_ARTICLE
Investigating The Role of Water Resources on Rural Settlements Development (Case: Sari County)
Surface and groundwater resources are of the most important issues in the development of rural communities. Because in these areas, water resources have a significant impact on economic development, especially agricultural activities. Meanwhile remote sensing technology and geographic information system (GIS) are used to prepare extensive and on-time land use maps. The aim of this study was to study the role of water resources and these challenges on the trend of changes in rural settlements and in in Sari County. In order to apply the remote sensing technology in this research, Landsat 8 satellite images were used in 2014, 2017 and 2019 then the radiometric calibration were done and land use map was obtained for each of the years. According to the land use map in 2014, 2017 and 2019, agricultural - rural land use in Sari County was 306.25, 290.83 and 300.38 square kilometers, respectively. Also, the results showed that surface and groundwater resources changes in selected years and the reduction of these resources have reduced the agricultural - rural land use areas. Therefore, the nnecessity for less dependence of farmers and rural community on water resources with the creation and development of infrastructure related to other agricultural activities such as rural tourism and agro- tourism with low dependence on water resources has been proposed.
https://ijaedr.ut.ac.ir/article_78925_d61ad9b2c84f0db801a021c2037d946e.pdf
2020-12-21
761
776
10.22059/ijaedr.2020.303646.668913
Surface and groundwater resources
Land use
Landsat 8 satellite
Geographic Information System (GIS)
Fatemeh
Jafari Sayadi
f.shafiee@sanru.ac.ir
1
PhD Student of Irrigation and Drainage faculty of agricultural engineering, Sari Agricultural Sciences and Natural Resource University, Sari, Iran
AUTHOR
Fatemeh
Shafiee
f.shafiee@sanru.ac.ir
2
Assistant Professor, Department of Agricultural Extension and Education, Faculty of Crop Sciences, Sari Agricultural Sciences and Natural Resources University, Sari, Iran
LEAD_AUTHOR
Abdel Kawy, W.A. & Belal, A.A., (2011). GIS to assess the environmental sensitivity for desertification in soil adjacent to El-Manzala Lake, East of Nile Delta, Egypt, American Eurasian. Agriculture & Environmental Science, 10 (5), 844-856.
1
Aghapour Sabbaghi, M., Yazdani, S., Salami, H., & Peykani, G., (2012). Model of Optimal and Sustainable use of Water Resources in Agricultural Sector (case study of Hamedan- Kabodarahang Plain). Iranian Journal of Agricultural Economics and Development Research, 42-2 (3), 313-322. (In Farsi).
2
Agricultural Jihad Organization of Mazandaran Province. (2018). Office of Statistics & Information Technology. (In Farsi).
3
Alambeigi; A & Akbari, M. (2020). Human-water resources interface in agriculture sector of Iran: A historical-theoretical understanding. Iranian Journal of Agricultural Economics and Development Research, 51 (2), 361-376. (In Farsi).
4
Ansari, M. J., Khoramdel, S., Ghorbani, R. & Pirdashti, H. A, (2015). Evaluation of global warming potential for rice in the first and second cropping patterns (Case study: Sari Province). Research in Field Crops, 3(1), 14-26.
5
Boochani, M.H., Afrasiyabi Rad, M.S., Yousefi, H., & Ebadati, N., (2017). The Effect of water resource in sustainable development of rural areas of the district Zazomahro of the Aligodarz. Iranian Journal of Ecohydrology, 4(1), 13-27. (In Farsi).
6
Dadashpoor, H. & Salarian, F., (2015). Analysis of the Impacts of Urban Sprawl on Land Use Changes in Sari City. Geographical Urban Planning Research (GUPR), 3(2), 145-163. (In Farsi).
7
Dwivedi, R. S., Sreenivas, K., Ramana, K. V., Reddy, P. R., & Sankar, G. R., (2006). Sustainable development of land and water resources using geographic information system and remote sensing. Journal of the Indian Society of Remote Sensing, 34(4), 351.
8
Ebrahimian Ghajari, Y. & Barari Siavoshkolaei. M., (2019). Runoff Production Potential Zoning Using Fuzzy GIS-CDA Models (Case Study: Tajan River Basin). Journal of Geomatics Science and Technology, 9(1), 1-14. (In Farsi).
9
Fallahtabar, N., & Bahiraei, H., (2012). Sustainable development of Kashan depends on the water resources of the dry and desert areas. Quarterly of Geography (Regional Planning), 2(2), 215-228. (In Farsi).
10
Farsi, J., & Yusefi, M., (2013). Disclosure of land use changes using remote sensing data (Case study: Bojnourd plain). Journal of Geographical and Environmental Studies, 2 (7), 95-106. (In Farsi).
11
Hosseini Yekani, S.A. & Keshiri, F., (2016). Investigating the effect of agricultural price fluctuations on the optimal pattern of crop exploitation in Sari Country. Agriculture Economic, 11 (2), 75-94. (In Farsi)
12
Jarlan, L., Khabba, S., Er-Raki, S., Le Page, M., Hanich, L., Fakir, Y. & Kharrou, M. H., (2015). Remote sensing of water resources in semi-arid Mediterranean areas: The joint international laboratory TREMA. International Journal of Remote Sensing, 36(19-20), 4879-4917.
13
Joorabian shooshtari, S., Esmaili-Sari, A., Hossein, S.M., & Gholamalifard, M., (2014). Application logistic regression and Markov Chain in land cover change prediction in east of Mazandaran province. Journal of Natural Environment, 66 (4), 351-363. (In Farsi).
14
Kamalifard, A. (2020). Monitoring of land use changes in Shahmirzad city using remote sensing data and spatial information system. Journal of GIS &RS Application in Planning, 10(3), 30-52. (In Farsi).
15
Kazemeyeh, F., Hosseinzad, J., Dashti, G., & Ghafouri, H., (2014). The analysis of effective indicators regarding agricultural development and water management of rural settlements Case: Tabriz plain. Journal Space Economy & Rural Development, 3(8), 1-18. (In Farsi).
16
Khorrambakht, A. (2016). Quantitative Analysis of the Role of Groundwater Qualityto Promote Rural Development Indicators Based on Morris Model Case Study: Khonj County. Journal of Physical Geography, 9 (32), 57-70. (In Farsi).
17
Khorrambakht, A., (2018). Investigating the Process of Digestion of Peri-urban Villages in Tehran's Development; Using GIS. Research and Urban Panning, 9(34), 217-228 (In Farsi).
18
Lahmian, R., (2017). Monitoring compatibility with land use planning of industries in Geospatial Information System (Case Study: City of sari). Quarterly Journal of Environmental Based Territorial Planning, 10 (38), 169-190. (In Farsi).
19
Management & Planning Organization of Mazandaran. (2017). Mazandaran province planning document, Third Report. Mazandaran Provincial council. (In Farsi)
20
Management & Planning Organization, Mazandaran Province., (2016). Studies of Mazandaran province planning program: View of cities. Mazand Consulting Engineers, Mazandaran province planning program, Mazandaran Provincial council. Retrieved on May 2016, from: http://mazandevelop.com. (In Farsi).
21
Mirkatouli; J. & Kanani, M.R. (2011). Assessment of Ecological Capability of Urban Development by Using Multi-Criteria Decision Making Model (MCDM) and GIS (Case Study: Sari City, Mazandaran Province). Human Geography Research, 43 (77), 75-88. (In Farsi).
22
Mirkatouli, J., Hosseini, A., Rezaeinia, H. & Neshat, A. (2012). Land Use and Land Cover Changes Detection a Fuzzy Sets Approach (A Case Study Gorgan). Human Geography Research, 44 (79), 33-54. (In Farsi).
23
Mirzaei, A., Zibaei, M., Esmaeili; A., & Bakhshoodeh, M. (2019). Land use Changes Prediction and Environmentally Unstable Areas Prioritization of Halil-Rud River Basin. Iranian Journal of Agricultural Economics and Development Research, 52 (2), 231-248. (In Farsi).
24
Mojarloo, F., Fazloula, R & Emadi, A.R., (2019). Application of the IHACRES model to assess the effect of climate change on the discharge of Tajan watershed. Iranian Journal of Irrigation and Drainage, 13 (1), 129-141. (In Farsi).
25
Onate-Valdivieso, F., & Sendra, J.B., (2010). Application of GIS and remote sensing techniques in generation of land use scenarios for hydrological modeling. Journal of Hydrology, 395, 256-263.
26
Oosterbaan, R., (2010). Water harvesting and agricultural land development options in the NWFR of Pakistan. Paper submitted to the international policy workshop "water management and land rehabilitation, NW frontier region, Pakistan". Islamabad. December 6-8, 2010. 27 pages.
27
Pirnia, A., Solaimani, K., Habibneghad Roshan, M. & Bsalatpour, A.A., (2017). Evaluation of Climate Change Function and Land Use Changes in Haraz River Water Quality Changes. Eco hydrology, 4 (4). 1151-1163. (In Farsi).
28
Raie, R., Jafarian, Z. & Ghorbani, J., (2017). Investigation of land covers change over a 46-year period in Kiasar region of Sari. Iranian Journal of Forest and Range Protection Research, 15 (1), 76-90. (In Farsi).
29
Roshun, S. H. & Habibnejad Roshan, M., (2018). Monitoring of temporal and spatial variation of groundwater drought using GRI and SWI indices (case study: Sari-Neka plain). Journal of Watershed Management Research, 9 (17), 269-279 (In Farsi).
30
Salehian, S., & Rahmani Fazli, A., (2018). Environmental Consequences of Water Resources Instability in the Zayandeh-Rud Basin. Physical Geography Research, 50 (2), 391-456. (In Farsi).
31
Schulz, J. J., Cayuela, C., Echeverria, C., Salas, J. & Rey Benayas, J. M., (2010). Monitoring land cover change of the dry land forest landscape of Central Chile (1975-2008). Applied Geography, 30, 436-447.
32
Tuolabi Nejad, M. & Hosseinjani, A., (2018). Rural conversional and complementary industry optimal location of township Poldokhtar using ANP and GIS. Journal of Studies of Human Settlements Planning, 13(44), 781-804 (In Farsi).
33
Yasoori, M., (2008). Limitation of water resources and their role in Khorassan Razavi rural area in stability. Journal of Studies of Human Settlements Planning, 2(5), 163-178. (In Farsi).
34
Yosfizadeh, R., (2019). Investigating the potential of geographic conditions and geomorphology in the storage of water resources using GIS (The studied area is Haj Aligholi Desert). Journal of GIS &RS Application in Planning, 9(4), 7-22. (In Farsi).
35
ORIGINAL_ARTICLE
Evaluation and Prioritization of Agricultural Adaptation Policies to climate change in Fars Province
Monitoring and evaluating adaptation policies can have various functions, including identifying and understanding the need for intervention, facilitating the design of new adaptation policies, or justifying budget allocation. The purpose of this study was to analyze climate change adaptation policies in agriculture. For this purpose, a Multi-criteria analysis approach was used. Data collection was done using a questionnaire consisting of 86 adaptation policies in 5 categories including financial and credit policies, research, planning and technology, infrastructure and conservation of water and soil resources, training and extension, and Institutional policies. Criteria of effectiveness, urgency, efficiency, power, side effects, equity, flexibility, organizational legitimacy, and feasibility were used for evaluation. Samples selected, using purposive sampling. Visual PROMETHEE software used to analyze the data. Results showed that the effectiveness criterion was the most important criterion. Among the financial and credit policies "provide low-interest facilities to prioritize the pattern of optimal national and regional cultivation" was the most important policy. "Planning to integrate native and modern agricultural knowledge to introduce new options for adaptation or climate change", "installing smart water meter on agricultural water wells”, and "reviewing the process of submitting surface and groundwater harvesting permits" were the most important policies among “research, planning and technology”, “infrastructure policies” and “institutional policies” categories, respectively.
https://ijaedr.ut.ac.ir/article_78926_78f5f87dfd8352af6f5f40c9e291666f.pdf
2020-12-21
777
795
10.22059/ijaedr.2020.291273.668829
Adaptation Policy
Agricultural Policy
Evaluation
multi-criteria analysis
PROMETHEE Method
Mojtaba
Dehghanpour
dehghanpour_619@yahoo.com
1
PhD. Student, Department of Agricultural Extension and Education, Agriculture Sciences and Natural Resources University of Khuzestan, Ahvaz, Iran
AUTHOR
Masoud
Yazdanpanah
yazdanm@asnrukh.ac.ir
2
Associate Professor, Department of Agricultural Extension and Education, Faculty of Agricultural Engineering and Rural Development, Agriculture Sciences and Ntural Resources University of Khuzestan, Ahvaz, Iran
LEAD_AUTHOR
Masoumeh
Forouzani
m.forouzani@yahoo.com
3
Associate Professor Department of Agricultural Extension and Education, Agriculture Sciences and Natural Resources University of Khuzestan, Ahvaz, Iran
AUTHOR
Gholamhossein
Abdollahzadeh
abdollahzade1@gmail.com
4
Associate Professor, Department of Agricultural Extension and Education, Gorgan Agriculture Sciences and Natural Resources University, Grorgan, Iran
AUTHOR
Adger, W. N., Arnell, N. W., & Tompkins, E. L. (2005). Successful adaptation to climate change across scales. Global Environmental Change, 15(2), 77-86.
1
Adger, W. N., Brown, K., Nelson, D. R., Berkes, F., Eakin, H., Folke, C., et al., (2011). Resilience implications of policy responses to climate change. Wiley Interdisciplinary Reviews: Climate Change, 2(5), 757-766.
2
Amiri, M. Hadinejad, F., & Malekkhoyan S. (2017). Evaluation and Prioritization of Suppliers Adopting a Combined Approach of Entropy, Analytic Hierarchy process, and Revised PROMETHEE (Case Study: YOUTAB Company). Journal of Operational Research and Its Applications. 14(4), 1-20.
3
Azadi, Y., Yazdanpanah, M., & Mahmoudi, H. (2019b). Understanding smallholder farmers’ adaptation behaviors through climate change beliefs, risk perception, trust, and psychological distance: Evidence from wheat growers in Iran. Journal of Environmental Management, 250, 109456.
4
Azadi, Y., Yazdanpanah, M., Forouzani, M., & Mahmoudi, H. (2019a). Farmers' adaptation choices to climate change: a case study of wheat growers in Western Iran. Journal of Water and Climate Change, 10(1), 102-116.
5
BECCA, (2015). Base: bottom up climate adaptation strategy toward sustainable Europe. BASE Evaluation Criteria for Climate Adaptation (BECCA). Policy brief. Issue No. 3, June 2015.
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Biagini, B., Bierbaum, R., Stults, M., Dobardzic, S., & McNeeley, S. M. (2014). A typology of adaptation actions: A global look at climate adaptation actions financed through the Global Environment Facility. Global Environmental Change, 25 (1), 97-108.
7
Bours, D., McGinn, C., & Pringle, P. (2013). Monitoring & evaluation for climate change adaptation: A synthesis of tools, frameworks and approaches. SEA Change Community of Practice and UKCIP, Phnom Penh, Cambodia, and Oxford, UK. http://www. seachangecop. org/node/2588.
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Brouwer, R., & Van Ek, R. (2004). Integrated ecological, economic and social impact assessment of alternative flood control policies in the Netherlands. Ecological Economics, 50(1-2), 1-21.
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11. de Bruin, K., Dellink, R. B., Ruijs, A., Bolwidt, L., van Buuren, A., Graveland, J., et al. (2009). Adapting to climate change in The Netherlands: an inventory of climate adaptation options and ranking of alternatives. Climatic Change, 95(1-2), 23-45.
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12. De Loe, R. C., & Kreutzwiser, R. D. (2000). Climate variability, climate change and water resource management in the Great Lakes. Climatic Change, 45(1), 163-179.
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13. Debels, P., Szlafsztein, C., Aldunce, P., Neri, C., Carvajal, Y., Quintero-Angel, M., ... & Martínez, D. (2009). IUPA: a tool for the evaluation of the general usefulness of practices for adaptation to climate change and variability. Natural Hazards, 50(2), 211-233.
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14. Dolan, A. H., Smit, B., Skinner, M. W., Bradshaw, B., & Bryant, C. R. (2001). Adaptation to climate change in agriculture: evaluation of options. Occasional Paper (Report), 26.
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15. Dupuis, J., & Biesbroek, R. (2013). Comparing apples and oranges: The dependent variable problem in comparing and evaluating climate change adaptation policies. Global Environmental Change, 23(6), 1476-1487.
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16. Ebi, K. L., & Burton, I. (2008). Identifying practical adaptation options: an approach to address climate change-related health risks. Environmental Science & Policy, 11(4), 359-369.
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17. Eriksen, S., Aldunce, P., Bahinipati, C. S., Martins, R. D. A., Molefe, J. I., Nhemachena, C., ... & Ulsrud, K. (2011). When not every response to climate change is a good one: Identifying principles for sustainable adaptation. Climate and development, 3(1), 7-20.
17
18. Ford, J., Berrang-Ford, L., Lesnikowski, A., Barrera, M., & Heymann, S. (2013). How to track adaptation to climate change: a typology of approaches for national-level application. Ecology and Society, 18(3). This report is available as a website at https://climate-adapt.eea.europa.eu/metadata/publications/how-to-trackadaptation-to-climate-change-a-typology-of-approaches-for-national-level-application.
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19. Fotouh, S., & Mena, J. W. T. (2011). Nairobi Work Programme on impacts, vulnerability and adaptation to climate change. Fifth Focal Point Forum, Durban, South Africa 29 November 2011, 18: 00–21: 00 Venue: International Convention Centre (ICC), Durban.
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21. Harley, M., Horrocks, L., Hodgson, N., & van Minnen, J. (2008). Climate change vulnerability and adaptation indicators. European Topic Centre on Air and Climate Change (ETC/ACC). Technical Paper, 9.
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22. Hosseini, S., Nazari, M.R., & Araghinejad, SH. (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)
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24. Klostermann, J., van de Sandt, K., Harley, M., Hildén, M., Leiter, T., van Minnen, J., ... & van Bree, L. (2018). Towards a framework to assess, compare and develop monitoring and evaluation of climate change adaptation in Europe. Mitigation and Adaptation Strategies for Global Change, 23(2), 187-209.
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25. Leavy, J., Greeley, M., & Downie, A. (2008). desk review: evaluation of adaptation to climate change from a development perspective. Report: Institute of Development Studies, LISA HORROCKS, AEA Group.
25
26. Maes, J., Mertens, K., Jacobs, L., Bwambale, B., Vranken, L., Dewitte, O., ... & Kervyn, M. (2019). Social multi-criteria evaluation to identify appropriate disaster risk reduction measures: application to landslides in the Rwenzori Mountains, Uganda. Landslides, 16(9), 1793-1807.
26
27. Mandryk, M., Reidsma, P., Kanellopoulos, A., Groot, J. C., & van Ittersum, M. K. (2014). The role of farmers’ objectives in current farm practices and adaptation preferences: a case study in Flevoland, the Netherlands. Regional environmental change, 14(4), 1463-1478.
27
28. Massey, E., Biesbroek, R., Huitema, D., & Jordan, A. (2014). Climate policy innovation: the adoption and diffusion of adaptation policies across Europe. Global Environmental Change, 29, 434-443.
28
29. Michailidou, A. V., Vlachokostas, C., & Moussiopoulos, Ν. (2016). Interactions between climate change and the tourism sector: Multiple-criteria decision analysis to assess mitigation and adaptation options in tourism areas. Tourism Management, 55, 1-12.
29
30. Miller, K. A., & Belton, V. (2014). Water resource management and climate change adaptation: a holistic and multiple criteria perspective. Mitigation and adaptation strategies for global change, 19(3), 289-308.
30
31. Mojaverian, M., Ahmadi, 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. (In Farsi).
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33
34. Sanahuja, H. E. (2011). A framework for monitoring and evaluating adaptation to climate change. Community of Practice, Global Environment Facility, Washington, DC, 78.
34
35. Teshome, A., de Graaff, J., & Stroosnijder, L. (2014). Evaluation of soil and water conservation practices in the north-western Ethiopian highlands using multi-criteria analysis. Frontiers in Environmental Science, 2, 60, 1-13.
35
36. van de Sandt, K. H., Klostermann, J. E. M., van Minnen, J., Pieterse, N., & van Bree, L. (2013). Framework for guiding monitoring and evaluation of climate adaptation policies and projects. Wageningen UR Alterra.
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37
38. Yazdanpanah, M., Forouzani, S., & Zobeidi, Z. (2017). Determining the Factors Influencing on Farmers’ Adaptation Behaviors in Dealing with Climate Change and Global Warming: A Case Study in Bavi Township, Khuzestan. Iranian Journal of Agricultural Economics and Development Research, 48 (1), 136-147. (In Farsi).
38
Zobeidi, T., Yazdanpanah, M., Forouzani, M., & Khosravipour, B. (2016). Climate change discourse among Iranian farmers. Climatic Change, 138(3-4), 521-535
39
ORIGINAL_ARTICLE
Scenarios of the Next Decade for National Cooperatives Economy System
For a number of reasons, including more compliance with the religious democratic system and inconsistency with the criteria of the capitalistic economic system, in Islamic revolution, the cooperative sector could well receive increased attention on the part of the economic activists. Also, in the pursuit, a great effort has been made for further strength of the sector This research was an attempt to develop scenarios for the future of cooperatives economy system in Iran. To do this, scenario development method was used. The data was gathered through a review of available documents and articles as well as interviews with 18 experts with a very good command of cooperatives economy. Regarding that the national economy is currently dominated by the government, the key identified uncertainties for cooperative economy included: Whether the government supports or not and whether people embrace or not. Considering the two- sided nature of the uncertainties, four scenarios could be conceived. Scenario1 as the most desirable one to occur for cooperative economy in the next decade was metaphorically named: climb of cooperatives. In scenario 2, absence of willingness in people, as the major factor responsible for the growth of cooperatives, would result in the gradual decline or “descend of cooperatives“. Under scenario 3, in spite of absence of supports by the government, popular willingness causes cooperatives to experience a gradual growth (take off) in short-term and an increasing trend in long term. Scenario 4 which is less likely to occur as compared to the other scenarios, would lead to the collapse (crash) of cooperatives in Iran. In order to manipulate the uncertainties for a better result, general and specific solutions were provided to bring the Cooperatives Economy System closer to the intended vision for the next decade and prevention from undesirable ones.
https://ijaedr.ut.ac.ir/article_78987_e1450d2355b8e094622c2bfe3e448657.pdf
2020-12-21
797
816
10.22059/ijaedr.2020.303557.668912
scenarios
Foresight
Cooperatives Economy System
Next Decade
Amir
Meymanatabadi
meymanatabadi@chmail.ir
1
Ph.D Candidate For Futures Studies Management, Supreme University of National Defence, Tehran, Iran
AUTHOR
Seyed Shamsodin
Hosseini
economic1967@gmail.com
2
Faculty Member, University of Allameh Tabatabaei, Tehran, Iran
LEAD_AUTHOR
Abdorrahim
Pedram
abdurrahim.pedram@gmail.com
3
Faculty Member, Supreme University of National Defence, Tehran, Iran
AUTHOR
Sadegh
Khalilian
khaliliansadegh@gmail.com
4
Faculty Member, University of Tarbiat Modares, Tehran, Iran
AUTHOR
Ahmadi, K, Akbari, M & Boostan Ahmadi, V. (2020). Future scenarios for housing demand through employee and worker’s housing cooperatives Kurdistan Departement General of Cooperative,Laborand social wlfare, Quarterly Journal of Future Cities Vision, Spring 2020, Vol. 1, No,1, P 71-86 (in Farsi)
1
Ansari, H.(2006). Cooperative in the third Millennutram. Tehran: Research Office of the Ministry of cooperatives (in Farsi).
2
Danaeifard, H., Alvani, M., & Azar, A. (2007). Methodology of cualitative Research in Mana gement:A Com prehens.ve Approach.Tehran:Eshraghi Publisher, 2nd ed.(in farsi)
3
Darabi, S ,Azadmanesh, Sh., & Torkashvand, M,(2019).A study on the future changes in the labor in Iran with emphasison employmevt opportunities and challenges underlavd use planning National confrance on labor,Tehran , Minstary of cooperatives, Labor and Social welfare, Talash Hall.(in Farsi).
4
Deller,S., Hoyt, A., Hueth, B & Sundaram Stukel, R. (2009 ). Research on the Economic Impact of Cooperatives, Publisher: University of Wisconsin Center for Cooperatives , Revised June 19, 2009, Wisconsin–Madison, USA.
5
6. Fahey, L. & Randall, R.M. (1998). Learning from the Future: Competitive Foresight Scenarios. John Wiley & sons, New York, USA.( https://www.wiley.com)
6
Felinahavand, S. (2013). Agricultural Extension System in Iran: The Status Quo and Foresight (Ph.D Thesis). Tehran : University of Tarbiyat Modarres, Iran, (in Farsi).
7
8. Fulton, M. , Giannakas, K. (2012). The Future of Agricultural Cooperatives. Annual Review of Resource Economics 5(1). Nov 2012. University of Nebraska- Lincoln. , USA.https://www.researchgate.net/publication/234146797
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9. Giaoutzi, M., Stratigea, A. &Van Leeuwen, E. (2012-2013). Scenario Analysis As A Foresight Tool in Agriculture, Int. J. Foresight and Innovation Policy. Vol.8
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10. Glenn, J.C.,and Gordon, T.G.(2004). The Encyclopedia of Futures Studies Methods (Translated by Marziyeh KeyGhobadi and Farkhondeh Maleki). Tehran: Tisa (in Farsi).
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11. Goldasteh , A.(2017). Foresight in Higher Education:Based on Scenario Method. Tehran: Center for Research on National Academic Policy (in Farsi)
11
12. Haji,L., Chizari, M., & Chobchian, Sh.(2017). Factor analysis of the sustainable developmentdrivers of agricultural producers coopratives in Naghedeh Township as viewed by the members.Journal of Agricultural Economic Research, 48(2), 299-309 (In Farsi)
12
13. Hogeland, Julie A. (2015). Managing Uncertainty and Expectations: The Strategic Response of US Agricultural Cooperatives to Agricultural Industrialization. Journal of Cooperative Organization and Management,3,60-71 (see: http://www.jobportal.ir).
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14. ICA,(2018),Cooperatives and the Future of Work. Brussels, Belgium.
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15. ICA,(2018),Cooperatives and the Future of Work: Position Paper, 30 April
15
16. 2018. (see: www.RESCOOP.eu).
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17. ILO,(2015),Small and Medium-sized Enterprises and Decent and Productive
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18. Employment Creation.Geneva:ILO.
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36
ORIGINAL_ARTICLE
Structuring a Conceptual Model of Determinant Criteria on Crops' Prioritization to Be Selected in Crop Pattern
Agricultural sector is one of the main production sectors in each country. Increasing the growth and efficiency of this sector requires the development of a proper, accurate and realistic model of crops planting based on different goals and criteria, in order to provide the benefits of the whole beneficiary community in long term. The purpose of this research was to identify, validate and rank the effective criteria on crops prioritization for being selected in the cropping pattern, using a hybrid research method of exploratory factor analysis and analytical network process. In order to achieving the research goals, in the first phase, by aid of literature reviewing, effective criteria on crops prioritization have been selected, and then by using exploratory factor analysis method and application of SPSS 25 software, these criteria have been loaded on 6 factors named: cultural and social, political, passive defense, water, environmental impacts and economics. The final step of this phase was the construction of the conceptual model of the factors and effective criteria. In second phase the criteria were ranked by using analytical network process method and application of Super Decisions software. According the results the most important criteria in the process of assessing the prioritization of crops are listed as below: “Domestic Resource Cost” with a weight of 0.2277, “consent culture” with a weight of 0.1468, “risk taking attitude of farmer” with a weight of 0.1160, and “crops’ irrigation water demand” with a weight of 0.0754. The conceptual model can facilitate the selection process of crops and ease the designing of optimal crop pattern.
https://ijaedr.ut.ac.ir/article_78970_b8c8926940cc119a8d00a092e230cb95.pdf
2020-12-21
817
831
10.22059/ijaedr.2020.300604.668899
Crop Pattern
Crops Prioritization
Domestic Resource Cost
Niloufar
Yarahmadi
n.yarahmadi94@gmail.com
1
PhD candidate, Department of Irrigation and Reclamation Engineering, Faculty of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
AUTHOR
Ebrahim
Amiri Tokaldany
amiri@ut.ac.ir
2
Professor, Department of Irrigation and Reclamation Engineering, Faculty of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
LEAD_AUTHOR
Ahmad
Makui
amakui@iust.ac.ir
3
Professor, Department of Industrial Engineering, Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
AUTHOR
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53
ORIGINAL_ARTICLE
Predicting Self-Efficacy Dimensions of Teaching Agricultural Trainers, Based on Teaching Strategies
Self-efficacy is a person’s beliefs about his or her ability for organizing and executing necessary actions to achieve the intended results. This study was an applied research and data collected through a survey method. The study was a causal-comparative research. This study aimed to anticipate level of teaching self-efficacy of agricultural trainers based on teaching strategies in the classroom. Statistical population was consisted 210 agriculture trainers of applied scientific centers of agricultural higher education in Tehran and Alborz Provinces. 130 trainers were randomly selected according to finite correction population formula. Research instrument was a standard questionnaire which its face, construct and discriminant validity was confirmed. Ordinal Theta and composite reliability coefficients were satisfied. Statistical dominant structural equation modeling method employing partial least squares (PLS) method was applied. The results showed that between the teaching strategies and six dimensions of teaching self-efficacy (motivation of the students, adapting to changes, interaction with parents, learners, dignity trainers, self-efficacy in education, adapting teaching to individual needs) were significant relationship. In this regard, the more appropriate the teaching strategies the teacher uses in the classroom, the better the self-efficacy of the trainer. This increase in self-efficacy leads to the greater willingness, enthusiasm, commitment, motivation, and dedication of more time for students to learn, which, finally improve the students’ academic achievement. Hence, holding training courses for educators, which will improve their teaching skills, would be a good way to enhance their self-efficacy.
https://ijaedr.ut.ac.ir/article_79071_f50357404b7fadc6a0df6a52187899f9.pdf
2020-12-21
833
849
10.22059/ijaedr.2020.293029.668840
self-efficacy beliefs
teaching self-efficacy
improvement of teaching skill
agricultural educators
Parisa
Paikhaste
p.paikhaste@ut.ac.ir
1
MSc. of Agricultural Education, Faculty of Economics and Agricultural Development, University of Tehran, Karaj, Iran
AUTHOR
Milad
Joodi Damirchi
miladjoodi@ut.ac.ir
2
MSc. of Agricultural Management, Faculty of Economics and Agricultural Development, University of Tehran, Karaj, Iran
AUTHOR
Mohammad Reza
Shahpasand
shahpasand.mr@gmail.com
3
Imam Khomeini Higher Education Center, Agricultural Research,Education and Extension Organization ,Karaj, Iran
LEAD_AUTHOR
Najime
Esmaeili
n.esmaeili1992@gmail.com
4
MSc. of Agricultural Extension and Education, Faculty of Economics and Agricultural Development, University of Tehran, Karaj, Iran
AUTHOR
Alambeigi, A., Paikhaste, P. & Hejazi, Y. (2016). Teaching self-efficacy of agriculture trainers as an antecedent of teaching positive affects variability using partial least square modeling, Journal of Agricultural Education Administration Research, 7(35), 107-124. (In Farsi).
1
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