ECONOMIC IMPACT Assessment of Cotton Breeding Research under Risk in Agro-climatic- zones of Iran

Document Type : Research Paper

Authors

1 PhD. Student, Economics Department of Tehran University

2 Professor of Agricultural Economics Department of Tehran University

Abstract

Technological development in agriculture as the main source of increased productivity requires sustained investment in agricultural research. However, in recent decades investment in agricultural research in developing countries has reduced and the Agricultural Research systems of public sector (government) in these countries, including Iran, have been faced with the challenge of funding research needs. In such circumstances, the funding of this type of research requires to provide documentary evidence of the interest of them to economic policymakers. Without revealed and compelling documentation of benefits, agricultural research will not earn sustainable financial support. Therefore this study estimates the potential benefits of cotton breeding research under its risk in agro-climatic zones of Iran that its results could set economic policymaking to persuade and convince for worthy support of cotton research. In order to conduct of this research, economic surplus method was used that can prepare effective outputs to derive the benefits of the research. Based on the findings, cotton breeding research in all studied zones, despite the uncertainty and the risk of their benefits, have acceptable economic returns. So that its expected average internal rate of return, Despite the risk and uncertainty of research and agricultural activities, is in the range of 26 to 40%. Therefor application of technology (improved seed) derived from them, can increase cotton production and supply and play fundamental role in cotton growers and consumers benefits. This evidence emphasize on necessary funding of agricultural research and its risk management.

Highlights

 
 

Keywords

References

1. Alston, J.M., Chan-Kang, C., Marra, M., Pardey, P., and Wyatt, T. 2000. A Meta-Analysis of rates of return to agricultural R&D. Research Report, No. 113. Int. Food Policy Res. Inst. Washington DC. 163 pages
2. Alston, J.M., Norton, G., and Pardey, P. 1998. Science under scarcity: Principles and practice for agricultural research evaluation and priority setting (2nd Edition). Wallingford, UK: CAB International. 642 pages
3. Anonymous, Vice president of strategic planning and monitoring, budget law, single article and resources and expenditures of macro tables, various years. Tehran.
4. Banks, C., and Carson, C. 2012. Discrete-event simulation systems. Mahlooji, M. Publication of Sharif University of Technology. Tehran, Second Edition. 707 p. (In Persian).
5. Benin, S., and You, L. 2007. Benefit-cost analysis of Uganda’s clonal coffee replanting program: An Ex-Ante Analysis. IFPRI Discussion Paper. No: 744.
6. Farsi, M., and Bagheri, A. 2008. Principles of crop breeding. Jihad-e-Daneshgahi of Mashhad Univ. Pub. First Editition. 376 p.
7. Gierend, J. 1999. Integration of risk and multiple objectives in priority setting for agricultureral research: The case of the national dairy research program in Kenya, PhD Dissertation, University of Berlin. 231 p.
8. Gotsch, N., and Herrmann, R. 2000. Assesing the expected welfare effects of biotechnological change on perennial crops under varying economic environments: a dynamic model for cocoa in Malaysia, Agric. Systems. 63:211-228.
9. Haghiri, A., and Rafati, M. 1996. Estimattion the return on investment in grains Research, Information and Documentation Center of Agriculture, Office of the Economic Analysis of Agricultural Research, Agricultural Research, Education and Extension Organization in Iran.
10. Haeri, A., and asayesh, A. 2009. Investigation of cotton condition in Iran and world. Statistical and Strategic Studies of Textile Industries Center. Iranian Textile Manufacturing Association.
11. Hosseini, S.S., and Hassanpor, E. 2009. Investigation of sugarbeen research effect on supply transmission of sugar in Iran, Sugarbeen. 23(1): 72-92
12. Horstkotte-Wesseler, G., Maredia, M., Byerlee, D., and Alex, A. 2007. Ex Ante economic analysis in AKIS projects: Methods and guidelines for good practice,World Bank, Rural Development Family, Agricultural Knowledge & Information Systems (AKIS). 21 p.
13. Kamali, M., and Najafi, T. 2011. Wheat: Research management strategies in Iran. First Edition. 227 p.
14. Mahloji, M. 2011 .Stimulation in systems. Sharif Indust. Univ. Pub. Second Edition.
15. Mahrabi, M., and Niksayr, F. 2009. Rresearch and development institutions mannuel in Iran. Scientific Policy Rres. Center Pub. 360 p.
16. Mardia, M., Byerlee, D., and Anderson, J. 2001. Ex-Post evaluation of the economic impacts of agricultural research programs: Paper presented to the workshop on the future of impact assessment in CGIAR, 39 p.
17. Masters, W.A., Coulibaly. B., Sanogo, D., Sidibé, M., and Williams, A. 1996. The economic impact of agricultural research: A practical guide. Dept Agric. Econom. Purdue Univ.
18. Mutangadura, G. 1997. Meeting development objectives with agricultural research: Priority setting in Zimbabwe, PhD Dissertation, Virginia Polytechnic Inst. 256 p.
19. Napasintuwong, O., and Traxler, G. 2009. Ex-ante impact assessment of GM papaya adoption in Thailand. AgBioForum. 12(2): 209-217.
20. Nienke Beintema, N., Stads, G., Fuglie, K., and Heisey, P. 2012. ASTI global assessment of agricultureal R&D spending: Developing countries accelerate investment. Int. Food Policy Res. Inst. Washington DC. 22 p.
21. Pachico, D., Lynam, J., Peter, K., and Jones, G. 1987. The distribution of enefits from technical change among classes of consumersand producers: An ex ante analysisof beans in Brazil. Research Policy. 16: 279-285.
22. Pardey, P.G., Alston, J.M., and Chan-Kang, C. 2013. Public agricultural R&D over the past half century: An emerging new world order. Agric. Econom. 44: 103-113.
23. Sharifzadeh, A., and Abdollahzadeh, G. 2011. Identification of current and optimal situation of agriculture research system. Science and Technology Policy. 4(1): 71-82
24. Yorobe, J.M. 2006. Ex-ante economic impact assessment of the ring spot virus resistant papaya in the Philippines. In Projected Impacts of Biotechnology Products in Indonesia and the Philippines (ISAAA and ABSP-II Impact Study) Manila. The Philippines: ISAAA. 23-24

Files

Share

How to cite

Statistics