Vulnerability of Farmers in Bakhtegan Basin Before and After Drought: Econometric Approach

Document Type : Research Paper

Authors

1 shiraz university

2 Professor of Agricultural Economics, Shiraz University.

Abstract

Drought is one of the major threats among natural hazards to people’s livelihoods and socio-economic development. In other words, drought events and their consequences pose a considerable problem for governments, business and individuals. Some regions such as Fars province are more prone to drought disasters and each region differs in its capacity to effectively prepare for and respond to the effects of drought. Therefore, the number of people affected by drought and the types of impacts experienced will be different by region. The risk associated with drought for any region is a product of the exposure to the natural hazard and the vulnerability of the society to the event. Consequently, planners and policy makers in drought prone region should conduct risk assessment. Therefore, the aim of this study is to measure ex-ante and ex-post drought vulnerability of farmers in Bakhtegan basin. A sample of 276 farmers was selected for interview and collection of necessary farm level data for two years. The results also indicated that if crops are the sole income source and have no consumption smoothing capability at all, over 37% of sampled farmers are vulnerable to drought. But 28.62% of sampled farmers would be vulnerable if they can rely on both crops and off-farm income. Therefore, it can be concluded that the inclusion of off-farm earnings in the income measure, reduces the number of vulnerable households. It is important to recognize that based on the results obtained from econometric method, there are four groups of farmers: 1) ex-ante vulnerable and ex-post vulnerable, 2) ex-ante resilient and ex-post vulnerable, 3) ex-ante vulnerable and ex-post resilient, 4) ex-ante resilient and ex-post resilient . The findings of this study can help policy makers to lessen farmers’ vulnerability to drought by promoting planning and the adoption of appropriate risk management strategies.

Keywords

Main Subjects

References

Christiaensen, L. J., & Subbarao, K. (2005). Towards an understanding of household vulnerability in rural Kenya. Journal of African Economies, 14: 520-558.
Dercon, S. (1996). Risk, crop choice and savings: Evidence from Tanzania. Economic Development and Cultural Change, 44: 485-514.
Dercon, S. (1996). Risk, crop choice and savings: Evidence from Tanzania. Economic Development and Cultural Change, 44: 485-514.
Ding, Y., Ren, G., Shi, G., Gong, P., Zheng, X., Zhai, P., Zhang, D., Zhao, Z., Wang, S.,Wang, H., Luo, Y., Chen, D., Gao, X., Dai, X. (2006). National assessment report of climate change: climate change in China and its futture trend. Advance Climate Change Research, 2: 3–8.
Elbers, C., & Gunning, J. W. (2003). Estimating vulnerability. University of Manchester, Staying Poor Chronic Poverty and Development Policy. Free University of Amsterdam, Working Paper.
Friedman, M. (1975). A Theory of the Consumption Function. Princeton: Princeton University Press.
Fussel, H. M. (2007). Vulnerability: A generally applicable conceptual framework for climate change research. Global Environmental Change, 17: 155-167.
Ghasminejad, S., Soltani, S., & Sfyanian, AS. (1393) Evaluation of drought risk in Isfahan province. Science and Technology of Agriculture and Natural Resources, Water and Soil Science, 68 (1): 225-213. (in Persian)
Hoddinott, J., & Quisumbing, A. (2003). Methods for microeconometric risk and vulnerability Evaluation. Protection Discussion Paper Series No. 0324 of the Social. Community support Unit, Human Development Network, World Bank, Washington, DC.
IPCC, (2013). Climate Change 2013: The Physical Science Basis. Cambridge University Press,Cambridge.
Iraj, H (1391). Evaluation of vulnerability of wheat farmers in north of Fars Province to drought. Master's Degree in Agricultural Economics, Faculty of Agriculture, Shiraz University.( in Persian)
IUGS, (1997). Quantitative risk assessment for slopes and landslides the state of the art, Landslide Risk Assessment, Rotterdam.
Jia, J.X., Han, L.Y., Liu,Y.,  He,N., Zhang, Q.,  Wan, X.,  Zhang, Y., & Hu, J. (2016). Drought risk analysis of maize under climate change based on natural disaster system theory in Southwest China. Acta Ecologica Sinica 36: 340–349.
Ju, H., Velde, M., Lin, E., Xiong, W., Li, Y. (2013). The impacts of climate change on agricultural production systems in China. Climate Change 120: 313–324.
Just, R. E., & Pope, R. D. (2001). The agricultural producer: Theory and statistical measurement. In B. Gardner and G. Rausser, eds. Handbook of Agricultural Economics. Elsevier Science, 1(12): 22-34.
Kazianga, H., & Udry, C. (2006). Consumption smoothing? livestock, insurance and drought in rural Burkina Faso. Journal of Development Economics, 79: 413 – 446.
Keshavarz, M., & Karami, AS. (1387). Effective structures on drought management of farmers and its consequences: application of structural equation model. Science and Technology of Agriculture and Natural Resources, 2: 53-43. (in Persian)
Knutson, C., Hayes, M., & Philips, T. (1998). How to reduce drought risk? Preparedness and Mitigation Working Group. Western Drought Coordination Council. < http://drought.unl.edu/portals/0/docs/risk.pdf.>
Kusunose, Y. (2010). Drought Risk and Vulnerability of Moroccan Dryland Wheat Farmers. PHD thesis, Agricultural and resource economics, University of California Davis.
Liu, C., Golding, D., & Gong, G. (2008). Farmers’ coping response to the low flows in the lower Yellow River: a case study of temporal dimensions of vulnerability. Global Environmental Change, 18(4): 543-553.
Lybbert, T. J., Barrett, C.B., Desta, S., & Coppock, D.L. (2004). Stochastic Wealth Dynamics and Risk Management Among a Poor Population. The Economic Journal, 114: 750-777.
Nasrnia, F & zebaei, m. (1394). Assessing the dimensions of provincial vulnerability to drought, a risk to risk management at country level. Economics and Agricultural Development, 29 (4): 373-359. (in Persian)
Nasrnia, F & zebaei, m. (1396). Determination of farmer's vulnerability patterns for drought in iran (Case Study: Bakhtegan Basin). Agricultural Economics Research, 9 (2): 36-1. (in Persian)
Sharafi, L., & Zarafshani, K. (1390). Determination of physical and psychological vulnerability of wheat makers at during duration (case study: Kermanshah, Sahneh and Ravansar). Sciences for the promotion and education of agriculture, 7 (1): 1-15. (in Persian)
Shariatmadar, MH (1387). Drought and drought management challenges in iran. national conference on defending agriculture in the agricultural sector. Shiraz, Iran. (in Persian)
Solh, M., & van Ginkel, M. (2014). Drought preparedness and drought mitigation in the developing world ׳ s drylands. Weather and Climate Extremes, 3, 62-66.
Yin, x., Olesen, E., Wang, M., Öztürk, I., Zhang, H., & Chen, F. (2016). Impacts and adaptation of the cropping systems to climate change in the Northeast Farming Region of China. European journal of Agronomy, 78: 60–72.
Zhao, Z., & Luo, Y. (2007). Projections of climate change over Northeastern China for 21st century. Journal of Meteorological Research. 23: 1–4.
Zimmerman, F., & Carter, M. (2003). Asset smoothing, consumption smoothing and the reproduction of inequality under risk and subsistence constraints. Journal of Development Economics, 71: 233-260.
Agricultural Economics
Volume 12, Issue 3 - Serial Number 3
December 2018
Pages 45-69

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