Determine the factors of governance in the agricultural sector in Iran by Using the Type-2 Fuzzy AHP Method

Subject Areas : Agricultural Economics Research

marzieh ronaghi ¹ (Ph.D. Student, Department of Agricultural Economics, Ferdowsi University of Mashhad, Iran.)
mohammadreza kohansal ² (Professor, Agriculture Faculty, Department of Agricultural Economics, Ferdowsi University of Mashhad.)
mohammad ghorbani ³ (Professor, Agriculture Faculty, Department of Agricultural Economics, Ferdowsi University of Mashhad.)

Received: 2018-12-04 Accepted : 2020-05-13 Published : 2020-10-22

Keywords: Agricultural governance, Group participation, Type 2 Fuzzy Method,

Abstract :

Good governance consists a set of norms and values. In this research, we first use the Meta-synthesis method to find the important factors of agricultural governance worldwide. We have Iranian experts for ranking the variables by using the Shanon Entropy method. These experts weigh the variables by a pairwise comparison matrix of Fuzzy method. The results of the Meta-synthesis model show that international policy, group participation, and observance standards have the highest importance and rank. However, the Type-2 Fuzzy analysis the factors of agricultural sustainability, group participation have the highest weight in the political, social and environmental areas and the factors of increase production, and marketing have the highest weight in the economic area.

References:

- Alizadeh, A., Amadeh, Ah. & Baqaian, M. (2014). Impact of Economic Sanctions on Employment Level in Iran. Ministry of Science, Research and Technology - Allameh Tabatabai University, Department of Economics. (In Persian).

- Antle, J. (1983). Infrastructure and aggregate agricultural productivity: international evidence. Economic Development and Cultural Change, 31: 609–619.

- Artstein, S., Ball K. M., Barthe F., & Naor, A. (2004). Solution of Shannon’s Problem on the Monotonicity of Entropy. Math. Soc, 17: 975–982.

- Barnett, E., & Thomas, J. (2009). Methods for the synthesis of qualitative research: a critical review. ESRC National Centre for Research Methods NCRM Working Paper Series. Homepage: www.ncrm.ac.uk.

- Benson, A., & Jafry, T. (2013). The State of Agricultural Extension: An Overview and New Caveats for the Future. The Journal of Agricultural Education and Extension, 19: 381-393.

- Bitzar, V., Bertus, W., & de Steenhuijsen, P. (2016). The governance of agricultural extension systems. kit working papers.

- Booth, A., Papaoianno, D., & Sutton, A. (2012). Systematic approaches to a successful literature review. London: Sage.

- Buckley, J.J.  (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17: 233-247.

- Budianto, J., & Zaini, Z. (2003). Identifying Local Specific Technologies and Problems for Increasing Production and Added Value of AgriculturalProducts in Indonesia: The Integrated Rice Improvement Programme and the Integrated Crop-Livestock Synergy Improvement Programme. Proceedings of the Second Seminar on Agricultural Technology Transfer and Training. Jakarta: Agency for Agricultural Research and Development.

- Chen, S.M & Lee, L.W. (2010).  Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method, Expert Systems with Applications, 37: 2790–2798.

- Chinsinga, B. & Cabral, L. (2010). The limits of decentralized governance: the case of agriculture in Malawi. Policy Brief 33, Future Agricultures.

- Ciolos, D. (2012). International aspects of agricultural policy.” BACKGROUND DOCUMENT FOR THE ADVISORY GROUP ON INTERNATIONAL ASPECTS OF AGRICULTURE.

- Dethier, J. & Effenberger, A. (2011). Food and agriculture challenges are examined in Evaluative Lessons for Agriculture and Agribusiness by the Evaluation Cooperation Group. World Bank Policy Research Working Paper, 5553.

- Dekker, R., & Bekkers, V. (2015). The contingency of governments' responsiveness to the virtual public sphere: A systematic literature review and meta-synthesis. Government Information Quarterly, 32: 496–505.

- Demand for Good Governance in the World Bank. (2010). Conceptual Evolution, Frameworks and Activities Social Development Department Demand for Good Governance Team.

- Division for democratic governance. (2002). the Political Institutions Participation in Democratic Governanc, Good Governance.

- Donkor, S., & Ohiokpehai, O. (1998). The relationship between food security and good governance. In: Africa HUGG International Symposium: Food Security and Governance in Africa. <http://www.toda.org/Default.aspx?PageID=343>.

- Elmenofi, G., Bilali H., & Sinisa, B. (2014). Governance of rural development in Egypt. Annals of Agricultural Science, 59: 285–296.

- Fink, A. (2010). Conducting research literature reviews. From the internet to paper (3rd Edition). London: Sage.

- Fulginiti, L., & Perrin, R. (1993). Prices and productivity in agriculture. Review of Economics and Statistics, 75: 471–482.

- Hall, R., and Jones, C. (1997). Levels of economic activity across countries. American Economic Review, 87: 173–177.

- Hayami, Y., & Ruttan, V. (1985). Agricultural Development: An International Perspective. John Hopkins University Press, Baltimore.

- Hillborn, R.C. (1994). Chaos and Nonlinear Dynamics. Oxford University Press, New York.

- International Food Policy Research Institute (IFPRI). (2015). Agriculture and achieving the Millennium development goals. IFPRI, Washington, D.C., USA, [online] URL: http://www.ifpri.org/pub lication/agriculture-and-achieving-millenniumdevelopment-goals.

- Janssen, M., & Van der Voort, H. (2016). Adaptive governance: Towards a stable, accountable and responsive government. Government Information Quarterly, 33: 1-5.

- Jayachandran, J. (2015). The Roots of Gender Inequality in Developing Countries. Annu. Rev. Econ, 7: 63–88.

- Kahraman, C., & Kaya, I. (2010). A fuzzy multi criteria methodology for selection among energy alternatives. Expert Systems with Applications, 37: 6270–6281.

- Kahraman, C., Sari, I.U. & Turanoglu, E. (2012). Fuzzy Analytic Hierarchy Process with Type-2 Fuzzy Sets. Proceedings of the 19th International FLINS Conference, 26-29: 201–206.

- Karimi M., Safdari Nahad, M., & Amjadipour, M. (2014). Development of Agriculture and Resistance Economy, Oil Replacement. Quarterly Journal of Strategic and Macro Policies, 2 (6): 103-127.

- Kawagoe, T., Hayami, Y., & Ruttan, V. (1985). The inter-country agricultural production function and productivity differences among countries. Journal of Development Economics, 19: 113–132.

- Khosravi Pour, B., bradaran, M., Ravinejad, M., & Quchani, A. (2014). Investigate the importance and role of cooperatives in the agricultural sector. Monthly Social, Economic, Scientific and Cultural, 175. (In Persian).

- Landes, M., & Burfisher, M. (2009). Growth and Equity Effects of Agricultural Marketing Efficiency Gains in India. Economic Research Report, 89.

- Leung, L. C., & Chao, D. (2000). On Consistency and Ranking of Alternatives in Fuzzy AHP. European Journal of Operational Research, 124: 102-113.

- Liu, M., & Lio, M. (2008). Governance and agricultural productivity: A cross-national analysis. Food Policy 33: 504–512.

- Manian, M., & Ronaghi, M. (2015) “Providing a Comprehensive Framework for Internet Marketing Implementation by using the Meta-synthesis method.” Journal of Business Management, 7: 901-920.

- Medary, A., kheirkhahan, J. (2004). Good Governance; Development Foundation, Tehran, Parliamentary Research Center, pp. 193-194.

- Mendel, J. M., & John, R. I. B. (2002). Type-2 Fuzzy Sets Made Simple, IEEE Transactions on Fuzzy Systems, 10: 117- 127.

- Mizan news. (2017). the Impact of Negotiations with Developing Countries on Agricultural Development. http://www.mizanonline.com/fa/news

- Mohammadzadeh, Y., Hekmati, S., & Sharifi, A. (2017). The effect of government size on good governance and economic performance in selected countries. Research Papers on Economic Growth and Development, 7 (26): 7-112. (In Persian).

- Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 6: 2642–69.

- Mosaddegh F., Kazemi F., & Yelfani A. (2016). Investigating the effects and consequences of sanctions on foreign investment in Iran and the relationship between resistance economy and decreasing negative effects of sanctions. Research Papers on Economic Growth and Development, 2: 1-10. (In Persian).

- Neal, P., Marian, J., Greco, F., Connell, D., and Conrad, J. (2016). The social-environmental justice of groundwater governance. Integrated groundwater management journal, 25: 253-272.

- Odularu, G., & Tambi, E. (2011). Establishment of standards for international agricultural trade: Promoting Africa’s participation. Trade Negitiations Insights, 10.

- Petticrew M., & Roberts H. (2006). Systematic reviews in the social sciences: A practical guide. Malden: Blackwell Publishing.

- Poulton, C. (2010). Agricultural Services and Decentralisation in Kenya. Policy Brief 035, Future Agricultures.

- Saaty, T. L. (1994). Fundamentals of Decision Making and Priority Theory with the Analytical Hierarchy Process. RWS Publications, Pittsburgh.

- Saaty, T. L. (1980). The Analytical Hierarchy Process. Mc Graw Hill, New York.

- Saaty, T. L. (2001). Decision Making with Dependence and Feedback: Analytic Network Process. RWS Publications, Pittsburgh.

- Sari, I.U., Oztaysi, B., & Kahraman, C. (2013). Fuzzy AHP Using Type II Fuzzy Sets: An Application to Warehouse Location Selection. In Doumpos M. and Grigoroudis E.  Eds., Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and Applications, Wiley, 258–308.

- Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27: 379–423.

- Social Development Department Demand for Good Governance Team, August, (2010).

- Stead, D. (2015). What does the quality of governance imply for urban prosperity. Habitat International, 45: 64-69.

- Thirtle, C., & Piesse, J. (2013). Governance, agricultural productivity and poverty reduction in Africa, Asia and Latin America.” Irrigation and Drainage, 56: 165-177.

- Tomich, T., Kilby, P., & Johnston, B. (1995). Transforming Agrarian Economies: Opportunities Seized, Opportunities Missed. Cornell University Press, Ithaca.

- Yahyapour, Sh., Shamizanjani, M., & Mosakhani, M. A. (2016). Conceptual breakdown structure for knowledge management benefits using meta-synthesis method. Journal of Knowledge Management, 19: 1295 – 1309. Permanent link to this document: http://dx.doi.org/10.1108/JKM-05-2015-0166. (In Persian).

- World Bank. (2015). Africa development indicators. World Bank, Washington, D.C., USA. [online] URL:http://siteresources.worldbank.org/ AFRICAEXT/ Resources/english_essay_adi2010.pdf.

- World Bank and IFPRI. (2010). Gender and governance in rural services: Insights from India, Ghana, and Ethiopia. Agriculture and Rural Development. Washington, DC, USA: The World Bank.

- Zadeh, L.A. (1975). The Concept of a Linguistic Variable and its Application to Approximate Reasoning. Informa-tion Sciences, 8: 199–249. (In Persian).