Ying Su
ABSTRACT
Studying the temporal and spatial changes of Xinjiang's agricultural drought vulnerability is conducive to enabling us to grasp the evolution track of Xinjiang's the agricultural insurance development level and provides a theoretical basis for the harmonious and healthy development of Xinjiang's the agricultural insurance. Due to Xinjiang's arid climate and fragile ecological environment. It is of great research significance to explore the effective ways of the agricultural insurance development to achieve agricultural economic stability. This study uses the meteorological data of 14 prefectures(cities)in Xinjiang from 2004 to 2018, uses the improved entropy method to calculate the agricultural drought vulnerability and its composition of Xinjiang, and focuses on the impact of agricultural drought vulnerability on the development of the agricultural insurance under the background of meteorological disasters through the dynamic panel measurement model. The researches show that:(1). Xinjiang has a high degree of agricultural drought vulnerability, but the development level of the agricultural insurance is not high. Their inter-annual changes are unstable and regional differences are obvious;(2).The exposure, sensitivity and resilience of agricultural drought vulnerability negatively affect the development level of the agricultural insurance, which is unfavorable to the development of the agricultural insurance;(3).Rural human capital and government intervention have a significant positive impact on the development level of the agricultural insurance in Xinjiang, while the industrial structure has a significant negative impact on the development level of the agricultural insurance in Xinjiang Therefore, it is necessary to strengthen the support of rural compulsory education and vocational education, promote the integrated development of rural primary, secondary and tertiary industries, and increase the financial expenditure on agricultural development and the agricultural insurance, so as to improve the vulnerability of the agricultural drought and improve the development level of the agricultural insurance, so as to provide support for stabilizing agricultural production, protecting farmers’ rights and interests and realizing rural revitalization.
- Hongbo Gu, Xianglin Ma.Grey correlation analysis of agricultural drought vulnerability and rural poverty in China [J].Arid Land Geography, 2016, 39(6):1358-1364.Google Scholar
- Mengna Li, Hui Qian, Liang Qiao.Evaluation of agricultural drought vulnerability in the Guanzhong region [J].Resources Science, 2016, 38(1): 166-174.Google Scholar
- Minghua Ye.Spatial clustering of agricultural weather hazards and risk dispersion of policy agricultural insurance: a spatial analysis of precipitation at 71 weather stations in Jiang, Zhejiang, Shanghai and Anhui (1980-2014) [J].Finance and Trade Research, 2016, 27(4): 32-41.Google Scholar
- Fengqing Jiang, Cheng Zhu, Guijin Mu, Contemporary flood and drought amplification:An analysis of the impact of human activities[J].From Journal of Geography, 2002, 57(1): 57-66.Google Scholar
- Do N, Kang S.Assessing drought vulnerability using soil moisture-based water use efficiency measurements obtained from multi-sensor satellite data in Northeast Asia dry land regions[J].Journal of Arid Environments, 2014, 105: 22-32.Google ScholarCross Ref
- Zarafshani K, Sharafi L, Azadi H, Drought vulnerability assessment: the case of wheat farmers in western Iran[J].Global and Planetary Change, 2012, 98: 122-130.Google ScholarCross Ref
- Hu Yingying, Maize·Halik, Taierjiang·Aishan, Vulnerability analysis of agro-climatic drought in Xinjiang from 2001-2010 [J].China Desert, 2014, 34(1): 254-259.Google Scholar
- Ying Wang, Jing Wang, Yubi Yao, Evaluation of drought vulnerability in southern China based on principal component analysis [J].Journal of Ecology and Environment, 2014, 23(12): 1897-1904.Google Scholar
- Han Xu.The application of improved TOPSIS model in the zoning of agricultural drought vulnerability in Shaanxi Province [J].Agricultural Research in Arid Areas, 2016, 34(4): 251-258.Google Scholar
- Guozhu Tuo, Junsheng Zhu.Discussion on the establishment of my country's policy-based agricultural insurance system [J].Journal of Capital University of Economics and Business, 2004, (6): 45-49.Google Scholar
- Shaik S, Coble K H, Knight T O.Revenue crop insurance demand[C]//Selected paper presented at the American Agricultural Economics Association annual meeting, Providence, RI, July24-27, 2005.Google Scholar
- Manxiu Ning, Li Xing, Funing Zhong.An empirical analysis of factors influencing farmers' decision to purchase agricultural insurance: an example from the Manas River basin in Xinjiang[J].Agricultural Economic Issues, 2005, 06:38-44, 79.Google Scholar
- Xiangyu Sun.Insurance awareness, government credibility and the demand for agricultural insurance: An empirical test of farmers’ willingness to pay for agricultural insurance in Huaian, Jiangsu Province [J].Journal of Nanjing Agricultural University (Social Science Edition), 2008, (1): 48-54.Google Scholar
- Yuehua Zhang, Chunzhi Liu, Juxiu Li.Pig Insurance, Information Asymmetry and Misreporting: A Case Study Based on the Problem of "Under-Insured" by Farmers [J].Agricultural Technology and Economy, 2013, (1): 11-24.Google Scholar
- Lizhi Song, Xiaosheng Han, Yan Wang.Research on the Influencing Factors of my country's Agricultural Insurance Development: An Empirical Analysis Based on Regional Panel Data [J].Macroeconomic Research, 2016, (11): 122-130.Google Scholar
- Kaiyu Lv, Chunxiao Li, Chongshang Zhang.Analysis of regional agricultural insurance development level based on principal component analysis and Entropy method: Data from China's provincial level from 2008 to 2013[J].Agricultural Technology and Economy, 2016, (3): 4-15.Google Scholar
- Wenhai Zhou, Guiling Zhao, Chengyuan Yin.A dynamic study on the impact of agricultural insurance development on farmers' income - an empirical test based on panel system GMM model [J].Insurance Research, 2014, (5):21-30.Google Scholar
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