با همکاری انجمن اقتصاد کشاورزی ایران

نوع مقاله : مقالات پژوهشی

نویسندگان

دانشگاه شیراز

چکیده

خشکسالی از پیچیده ترین و ناشناخته ترین بلایای طبیعی است .استان فارس از لحاظ اثرات محیطی، اقتصادی و اجتماعی نسبت به خشکسالی بسیار آسیب پذیر است. هدف این مطالعه شناسایی و سنجش آسیب پذیری گندم کاران شمال استان فارس نسبت به خشکسالی بود که در سه بخش سازمان‌دهی شد. اولین روش، آسیب پذیری قبل از خشکسالی را بر اساس توزیعات درآمدی تخمین زده شده اندازه گرفت و دیگری آسیب پذیری بعد از خشکسالی را با توجه به وضعیت دارایی خانوار و استراتژی های مقابله با خشکسالی سال 1390، شناسایی کرد. بخش آخر، الگوهای آسیب پذیری را بر اساس آنالیز خوشه ای و داده کاوی تعیین کرد. یک نمونه متشکل از 203 کشاورز در سه دشت آسپاس، نمدان و سده برای مصاحبه و جمع آوری داده های لازم در سطح مزرعه برای دو سال (1391 و 1390) انتخاب شد. یافته‌های مطالعه نشان داد در بعد فنی دسترسی به منابع آب، در بعد اقصادی میزان سرمایه و در بعد اجتماعی اتحاد اهالی مهم‌ترین عوامل اثر گذار در میزان آسیب‌پذیری کشاورزان محسوب می‌شود. دشت‌های سده و نمدان به ترتیب بیشترین و کمترین مقدار آسیب‌پذیری در ابعاد اقتصادی و فنی و در بعد اجتماعی آسپاس آسیب پذیرترین و سده کمترین میزان آسیب پذیری را به خود اختصاص دادند. همچنین با در نظر گرفتن بعدهای فنی، اقتصادی و اجتماعی آسیب‌پذیری، این مطالعه هفت الگوی متمایز و مستقل آسیب پذیری را استخراج کرد. یافته های مطالعه می توانند به سیاست گذاران برای انتقال از مدیریت بحران به مدیریت ریسک و طراحی برنامه های مناسب در زیر منطقه یا در سطح مزرعه به جای سطح ملی و منطقه یاری کند.

کلیدواژه‌ها

عنوان مقاله [English]

Assessing the Vulnerability of Wheat Farmers to Drought in North of Fars Province

نویسندگان [English]

  • M. Zibaei
  • F. Nasrnia

Shiraz university

چکیده [English]

Introduction: Iran is constantly exposed to natural disasters such as floods, earthquakes and drought. In the meantime, drought is the major natural disaster which leads to numerous losses in agriculture and water resources, and this phenomenon is slow and creeping.Available evidence suggests that drought management is based on crisis management. As the present management in our country is based on crisis management, and drought-proneareasin thecountryhave become a society vulnerable to drought. So, the authorities require a new set of data for drought preparedness to deal with these challenges, in order to obtain the resources to be properly and effectively prioritized and reduce the effects of drought and its consequences. Undoubtedly, the starting point of vulnerability assessment and risk management is a prerequisite that has been sadly neglected in our country. In this context, the aim of this study is to determine the vulnerability of technical, economic and social vulnerability assessment determined before and after the drought and vulnerability patterns for wheat farmers in the North of Fars province.
Materials and Methods: The vulnerability of wheat farmers in the North of Fars province is determined using three methods. The first method measured ex ante vulnerability based on estimated income distributions, and the other identified ex post vulnerability according to farmers asset positions and drought coping strategy in the 1390 drought. The final section determined the patterns of vulnerability using cluster analysis and data mining. A sample of 203 farmers in three plains was selected for interview and collection of necessary farm level data for two years (1390 and 1391) was carried out. In this study, to assess the vulnerability of households in the North of Fars province against drought, the formula Me-bar and Valdez has been used. In North of Fars province, as many other fields, agriculture is the main source of income and income from agriculture is highly dependent on rainfall. The conditional mean and variance for each farmer household, were predicted using data on rainfall and farm household characteristics. In this study, to assess the vulnerability of wheat farmer households in the North of Fars province before the drought, the method used to estimate household income distribution is Kusunose.
Results and Discussion: Data for the wheat farmers in three fields Aspass, Namdan and Sedehwho constitute 86% of the Northern Province were collected through questionnaire and with a simple random multistage interview. Typically, ex ante vulnerability, using data on household consumption or expenditure data over time wasmeasured. Household consumption or costs reflect the income stream and the family’s coping capacity. It should be noted that the measurement of vulnerability to drought before (ex ante) is based on two assumptions of behavior and consumers’ income. After the drought, vulnerability criteria (ex post), on the basis of income shocks caused by drought and household tools to tackle with the drought, were measured. The characteristics of households that are vulnerable according to the criteria based on the characteristics of vulnerable households are compared. Percent of irrigated lands are vulnerable households with vulnerable families, and it somehow reflects easier access to equipment and facilities are vulnerable households irrigation.
Conclusion:The results shows that if crops are the sole income source and have no consumption smoothing capability whatsoever, and consumption perfectly tracks income, over 32% of sampled farmers fall to the Southwest of the 60% vulnerability curve meaning that these farmers would fall under the poverty line ever 60% of the time. But only 10% of the sampled farmers would fall under poverty line over 60% of the time if we use the second income measure, the combined income from crops and off-farm sources. The results showed that factors such as unity of citizens and access to capital for agricultural inputs rank first and second in terms of vulnerability todrought.Also, by putting the dimensions of technical, economic and social vulnerability, this study extracted seven independent and distinct patterns of vulnerability. The comparison between the specifications of vulnerable and secure households during droughts shows policy for farmers who are vulnerable to drought before and after the drought, and policies to increase employment opportunities outside the farm.The findings of this study help policymakers shift from crisis management to risk management and design appropriate plans at sub-regional or farm level rather than national or regional levels.

کلیدواژه‌ها [English]

  • drought
  • Economical vulnerability
  • Social vulnerability
  • Technical vulnerability
  • Vulnerability patterns
1- Adger W.N. 1999. Social vulnerability to climate change and extremes in Coastal Vietnam. World Development, 27: 249-269.
2- Alcamo J., Acosta-Michlik L., Carius A., Eierdanz F., Klein R., Kromker D., and Tanzler D. 2005. A new approach to the assessment of vulnerability to drought.In Presented at Concluding Symposium of the German Climate Research Programme (DEKLIM), vol. 10, p. 12.
3- Bayanat A. 1383. Special and differential treatment of developing countries within the framework of the WTO, trade Plenipotentiary representative office in Iran, Tehran. (in Persian).
4- Brant S. 2007. Assessing the vulnerability to drought in Ceara, northeast Brazil. Retrieved 08.02.2009 from the World Wide Web: http://hdl.handle.net/2027.42/57432.
5- Christiaensen L.J., and Subbarao K. 2005. Towards an understanding of household vulnerability in rural Kenya. Journal of African Economies, 14:520-558.
6- Cooper P.J., Dimes M., Rao J., Shapiro C., Shiferaw B., and Twomlow S. 2008. Coping better with current climatic variability in the rain – fed farming systems of sub – Saharan Africa: An essential first step in adapting to future climate change? Journal of Agriculture Ecosystems and Environment, 126: 24-35.
7- Elbers C. and Gunning J.W. 2003. Estimating vulnerability. University of Manchester: Staying Poor: Chronic Poverty and Development Policy. Free University of Amsterdam Working Paper.
8- Ethlet Ch., and Yates R. 2005. Participatory vulnerability analysis: A step-by-step guide for field staff. International Emergencies Team, 35.
9- Fontaine M.M., and Steinemann A.C. 2009. Assessing vulnerability to natural hazards: Impact-based method and application to drought in Washington State. Natural Hazards Review, 10: 11-18.
10- Haan N., Farmer G., and Wheeler R. 2001. Chronic vulnerability to food insecurity in Kenya-2001. A WEP pilot study for improving vulnerability analysis. Retrieved from World Wide. Web:http://one.wfd.org/operations/vam/documents/ken_vip_2001.pdf.
11- Hosseini M., Sharifzadeh N., Gholamrezayee S. 1388. Narrative of the vulnerability of rural and tribal communities as a result of the drought crisis in the province. The first national conference on sustainable development. (in Persian)
12- Iglesias A., Moneo M., and Quiroga S. 2007. Methods for evaluatingsocial vulnerability to drought. Options Mediterraneennes, 58: 129-133.
13- Iraji H. 2013. Assessing the vulnerability of wheat farmers to drought in north of Fars. Master thesis of agricultural economics, Shiraz University, Shiraz, Iran. (in Persian with English abstract)
14- Just R.E., and Pope R.D. 2001. The agricultural producer: Theory and statistical measurement. In B. Gardner and G. Rausser, eds. Handbook of Agricultural Economics. Elsevier Science, vol. 1, chap. 12.
15- Karami A. 1388. Drought management and the knowledge and information system. National Conference on issues and strategies to cope with drought. Proceedings of the conference deal with the drought, Shiraz. (in Persian).
16- Kusunose Y. 2010. Drought risk and vulnerability of Moroccan dryland wheat farmers. Agriculture, Ecosystems and Environment, 126: 36-45.
17- Me-Bar Y., and Valdez F. 2005. On the vulnerability of the ancient Maya society to natural threats. Journal of Archaeological Science, 32: 813-825.
18- Paavola J. 2008. Livelihood, vulnerability and adaptation to climate change in Morogoro, Tanzania. Environmental Science and Policy, 11: 624-654.
19- Patnaik U., and Narayanan K. 2005. Vulnerability and climate change: An analysis of the eastern coastal districts of India. Human Security and Climate Change, an International Workshop, Asker and near Oslo.
20- Pirmoradian N., Shamsnia S., Boustany P., Shahrokhnia A. 2009. Evaluate the return period of droughts using Standardized Precipitation Index (SPI) in Fars province. Journal of Modern Agriculture, University of Asia. 4, 13: 7-21. (in Persian).
21- Sharafi L., Zarafshani K. 2011. Assessment of technical and psychological vulnerability of wheat farmers in times of drought (Case Study: Kermanshah province, the scene of Ravansar). Journal of Agricultural Extension and Education. 7 (1): 1-15. (in Persian).
22- SharmaU. and Patwardhan A. 2007. Methodology for identifying vulnerability hotspots to tropical cyclone hazard in India. Mitigation and Adaptation Strategies for Global Change, 13: 703-717.
23- Shewmake Sh. 2008. Vulnerability and the impact change in South Africa’s Limpopo River Basin. International Food Policy Research Institute.
24- Traerup S. 2007. Coping with climate change vulnerability: Issues related to development and agricultural linkages in developing countries. Department of Geography and Geology, University of Copenhagen.
25- Wilhelmi O.V. and Wilhite D.A. 2002. Assessing vulnerability to agriculture drought: A Nebraska case study. Natural Hazards, 25: 37–58.
26- Zahedi Mazandaran D., and Zahedi Abghari A. 1375. Rural poor and vulnerable segments to identify vulnerable rural basic lines. Journal of Agricultural Economics and Development. 4, 86-11. (in Persian).
27- Zakieldeen S.A. 2009. Adaptation to climate change: A vulnerability assessment for Sudan. Key highlights in sustainable agriculture and natural resource management. International Institue for Environment and Development.
28- Zimmerman F. and Carter M. 2003. Asset smoothing, consumption smoothing and the reproduction of inequality under risk and subsistence constraints. Journal of Development Economics, 71: 233-260.
CAPTCHA Image