Agricultural production is highly sensitive to climate factors like other endogenous factors, and the expected climate change projections may have a negative impact on the efficiency and income of agricultural producers. Therefore, this study aims to analyze the impact of changes in climatic factors (average air temperature and precipitation) on the technical efficiency of cotton growing farmers as its determinants in Samarkand region. Empirical analyzes were performed on the cases of 1141 cotton-growing farms using panel-based Time-Invariant Inefficiency model. According to the results of the analysis, cotton farms in the region have an average technical efficiency of 76%, which in turn means that there is an opportunity to increase the efficiency of available resources on farms by 24%. The impact of climate variability on productivity was also studied. Based on the analysis, it was found that the average rainfall has a positive effect and, conversely, an increase in average air temperature by 1 degree in May-September can lead to a 12% decrease in farm efficiency. The effects of other factors affecting efficiency were also studied. In conclusion, the provision of sufficient water and financial resources (credit) and membership in agricultural cooperatives will allow cotton farmers in the region to reduce the impact of the expected effects of climate change and increase their technical efficiency
1. IPCC (2014) Synthesis report. contribution of working groups i, ii and iii to the fifth assessment report of the intergovernmental panel on climate change. In: (Pachauri RK, Meyer, LA, et al. (ed)) IPCC, Geneva, Switzerland, 151 p.
2. Lobell DB, Burke MB, Tebaldi C, Mastrandrea MD, Falcon WP, Naylor RL (2008) Prioritizing climate change adaptation needs for food security in 2030. Science 319(5863): Pp. 607-610.
3. Reyer, C.P.O.; Otto, I.M.; Adams, S.; Albrecht, T.; Baarsch, F.; Cartsburg, M.; Coumou, D.; Eden, A.; Ludi, E.; Marcus, R.; et al (2015). Climate change impacts in Central Asia and their implications for development. Reg. Environ. Chang.
4. Yin, G.; Hu, Z.; Chen, X.; Tiyip, T. (2016). Vegetation dynamics and its response to climate change in Central Asia. J. Arid Land, 8, 375–388.
5. Lioubimtseva E, Henebry GM (2009), “Climate and Environmental change in arid Central Asia: impacts, vulnerability, and adaptations” Journal of Arid Environment No73: Pp. 963-977.
6. Ososkova, T., Gorelkin, N., Chub, V., (2000). Water resources of Central Asia and adaptation measures for climate change. Environ. Monit. Assess. No 61, Pp.161–166.
7. Chub, V. (2007), “Climate change and its impact on hydro-meteorological processes, agro-climatic and water resources of the Republic of Uzbekistan” Uzhydromet, Tashkent, Uzbekistan.
8. CAREC, (2011). Gap Analysis on Adaptation to Climate Change in Central Asia. Priorities, Recommendations, Practices. Regional Environmental Centre for Central Asia, Almaty.
9. IPCC et al. (2007). Climate change 2007: Impacts, adaptation and vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press.
10. World Bank, (2009). Adapting to Climate Change in Europe and Central Asia. World Bank, Washington, DC.
11. FAOSTAT (2012). Food and Agricultural Organization of the UN Statistical Database (http://faostat.fao.org/default.aspx)
12. Mirzabaev, A., (2013). Impact of weather variability and climate change on agricultural revenues in Central Asia. Quart. J. Int. Agric. No3, Pp.179–194.
13. SCRUz, (2017, 2018, 2019). State Statistical Committee of the Republic of Uzbekistan.
14. World Bank, (2018 and 2019). World Development Indicators. The World Bank, Washington D.C, USA
15. United Nations Environmental Programme (UNEP). Environment and Security in the Amu Darya Basin, report prepared on behalf of the partner organizations of the Environment and Security Initiative, 2011.
16. Sommer, R., Glazirina, M., Yuldashev, T., Otarov, A., Ibraeva, M., Martynova, L.,Bekenov, M., Kholov, B., Ibragimov, N., Kobilov, R., Karaev, S., Sultonov, M.,Khasanova, F., Esanbekov, M., Mavlyanov, D., Isaev, S., Abdurahimov, S., Ikramov,R., Shezdyukova, L., de Pauw, E., (2013). Impact of climate change on wheat pro-ductivity in Central Asia. Agric. Ecosyst. Environ. Pp.78–99.
17. Bobojonov I. et al. (2014). “Impacts of climate change on farm income security in Central Asia: An integrated modelling approach” Agriculture, Ecosystems and Environment 188 (2014). Pp.245–255.
18. FAOSTAT, (2018). FAO Statistics Division Available at: (http://ref.data.fao.org/database?entryId=262b79ca-279c-4517-93de- ee3b7c7cb553).
19. Thurlow James, Tingju Zhu and Xinshen Diao (2009). The Impact of Climate Variability and Change on Economic Growth and Poverty in Zambia.
20. Gupta, R., K. Kienzler, C. Martius, A. Mirzabaev, T. Oweis, E. De Pauw, M. Qadir, K. Shideed, R. Sommer, R. Thomas, K. Sayre, C. Carli, A. Saparov, M. Bekenov, S. Sanginov, M. Nepesov, and R. Ikramov (2009). Research prospects: A vision for sustainably land management in Central Asia. ICARDA Central Asia nad Caucasus Program. Sustainably agriculture in Central Asia and Caucasus Series No.1. CGIAR-PFU, Tashkent, Uzbekistan.
21. Alboghdady, M., & El-Hendawy, S. E. (2016). Economic impacts of climate change and variability on agricultural production in the Middle East and North Africa region. International Journal of Climate Change Strategies and Management.
22. Ali, S., Liu, Y., Ishaq, M., Shah, T., Ilyas, A., & Din, I. U. (2017). Climate change and its impact on the yield of major food crops: Evidence from Pakistan. Foods, No 6(6), 39 p.
23. Huong, N. T. L., Bo, Y. S., & Fahad, S. (2019). Economic impact of climate change on agriculture using Ricardian approach: A case of northwest Vietnam. Journal of the Saudi Society of Agricultural Sciences, No18(4), Pp.449–457.
24. Kato, E., Nkonya, E., Koo, J., & Bobojonov, I. (2012). Climate change effects on cotton and potato and adaptation options in Central Asia. Evidence from DSSAT Crop Simulation Model. Project Report, IFPRI, Washington, USA.
25. Hasanov, S., & Ahmed, M. N. (2011). Agricultural efficiency under resource scarcity in Uzbekistan: A data envelopment analysis. Business and Economic Horizons, No(04), Pp.81-87.
26. Theodoridis, A., Hasanov, S., & Abruev, A. (2014). Efficiency and productivity change analysis of cotton production in Uzbekistan. Outlook on AGRICULTURE, No 43(4), Pp. 259-263.
27. Karimov, A., & Niño-Zarazúa, M. (2015). Assessing efficiency of input utilization in wheat production in Uzbekistan. Lamers, JP, Khamzina, A., Rudenko, I., & Vlek, PL Restructuring land allocation, water use and agricultural value chains, Technologies, policies and practices for the lower Amudarya region.
28. Sanaev G., Kim K. (2017). Analysis of Technical Efficiency of Tomato Production in Samarkand region, Uzbekistan, No 26, Pp.247-271.
29. Babakholov Sh., Kim K.R., Lee S.H. (2018). “Agricultural Transition and Technical Efficiency: An Empirical Analysis of Wheat- Cultivating Farms in Samarkand Region, Uzbekistan” Sustainability 2018, 10, 3232; MDPI - Academic Open Access Publishing. www. mdpi.com/journal/sustainability
30. Centre of Hydro-meteorological Service, Cabinet of Ministers, 2018. Second National Communication of the Republic of Uzbekistan under the United Nations Framework Convention on Climate Change, Tashkent.
31. G. Ortiz-Ferrara, Sharma, R. C., and A. K. Tiwary, 2008: Reduction in kernel weight as a potential indirect selection criterion for wheat grain yield under terminal heat stress. Plant Breeding No127, Pp.241–248.
32. Kumbhakar SC, Orea L, Rodríguez-Álvarez A, Tsionas EG (2007) Do we estimate an input or an output distance function? An application of the mixture approach to European railways. Journal of Productivity Analysis No27(2): Pp. 87-100.
33. Lobell DB, Schlenker W, Costa-Roberts J (2011) Climate trends and global crop production since 1980. Science 333(6042): Pp. 616-620.
34. Jones, J.W., Hoogenboom, G., Porter, C.H., Boote, K.J., Batchelor, W.D., Hunt, L.A.,Wilkens, P.W., Singh, U., Gijsman, A.J., Ritchie, J.T., 2003. The DSSAT cropping system model. European Journal of Agronomy No18, Pp. 235–265.
35. Keating, B.A., McCown, R.L., (2001). Advances in farming systems analysis and intervention. Agric. Syst. No70, Pp. 555–579.
36. Adams RM, McCarl BA, Segerson K, Rosenzweig C, Bryant KJ, Dixon BL, Conner R, Evenson RE, Ojima D (1999) Economic effects of climate changes on U.S. agriculture. In: Mendelsohn R, Neuman JE (eds) The impact of climate change on the United States economy. Cambridge University Press, Cambridge, Pp. 18–55.
37. Mendelsohn, R., Nordhaus, W., and Shaw, D., (1994). The Impact of Global Warming on Agriculture: A Ricardian Analysis. The American Economic Review, No84(4), Pp.753-771.
38. Pitt, M. M., and Lee, L.-F. (1981), “The Measurement and Sources of Technical Inefficiency in the Indonesian Weaving Industry,” Journal of Development Economics, No9, Pp. 43–64.
39. Battese, G. E. and Coelli, T. J. (1988), “Prediction of Firm-Level Technical Efficiencies with a Generalized Frontier Production Function and Panel Data,” Journal of Econometrics, No38, Pp.387–99.
40. Wooldridge J. (2002). “Econometric analysis of cross section and panel data” MIT Press, Cambridge, MA.
41. S.Teshaev, B.Sulaymonov., “Cotton production”-Т.: “Science and technology” 2016.
42. Tong, Q., Swallow, B., Zhang, L., & Zhang, J. (2019). The roles of risk aversion and climate-smart agriculture in climate risk management: Evidence from rice production in the Jianghan Plain, China. Climate Risk Management, 26, 100199.
"EMPIRICAL ASSESSMENT OF CLIMATE CHANGE IMPACTS ON AGRICULTURE IN SAMARKAND REGION,"
Irrigation and Melioration: Vol. 2020
, Article 5.
Available at: https://uzjournals.edu.uz/tiiame/vol2020/iss4/5
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