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China's regional vulnerability to drought and its mitigation strategies under climate change: Data envelopment analysis and analytic hierarchy process integrated approach

Author

Listed:
  • Xiao-Chen Yuan
  • Qian Wang
  • Ke Wang
  • Bing Wang
  • Ju-Liang Jin
  • Yi-Ming Wei

    (Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology)

Abstract

Climate change makes extreme droughts more frequent with heavy economic losses in China, thus this study aims to evaluate China's regional vulnerability to drought and propose proper mitigation strategies for drought-vulnerable areas. In this paper, an integrated index containing exposure, sensitivity and adaptive capacity is developed to measure regional vulnerability to drought, and it is calculated by the integrated approach which combines slacks-based measure (SBM) model in data envelopment analysis (DEA) with genetic algorithm-based analytic hierarchy process (AHP). Accordingly, 65 cities in Anhui, Henan, Jiangsu and Shandong provinces of China are chosen as the study area. The results show that Anhui and Henan are more vulnerable to drought, and the proportions of cities with inefficient resilience to drought in the two provinces are 64.7% and 55.6% respectively. Compared with coastal areas, the inland regions have more drought-vulnerable cities. In addition, the cities in the south are less vulnerable to drought than those in the central and north regions. Meanwhile, we conclude that the integrated index can measure the efficiency of resilience to drought and reveal the causes of drought vulnerability. It also indicates that adequate investments in drought preparedness and promotion of water efficiency are the crucial ways for drought vulnerability reduction. Finally, this study proposes some policy recommendations to alleviate the impacts of drought under climate change.

Suggested Citation

  • Xiao-Chen Yuan & Qian Wang & Ke Wang & Bing Wang & Ju-Liang Jin & Yi-Ming Wei, 2013. "China's regional vulnerability to drought and its mitigation strategies under climate change: Data envelopment analysis and analytic hierarchy process integrated approach," CEEP-BIT Working Papers 44, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  • Handle: RePEc:biw:wpaper:44
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    File URL: http://www.ceep.net.cn/docs/2014-07/20140714182056229681.pdf
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    Citations

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    Cited by:

    1. Mingze Li & Jun Lv & Xin Chen & Nan Jiang, 2015. "Provincial evaluation of vulnerability to geological disaster in China and its influencing factors: a three-stage DEA-based analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 1649-1662, December.
    2. Bing Wang & Su-Yan Pan & Ruo-Yu Ke & Ke Wang & Yi-Ming Wei, 2014. "An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(3), pages 1649-1666, December.
    3. Itziar González Tánago & Julia Urquijo & Veit Blauhut & Fermín Villarroya & Lucia De Stefano, 2016. "Learning from experience: a systematic review of assessments of vulnerability to drought," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 951-973, January.
    4. Wang, Bing & Nistor, Ioan & Murty, Tad & Wei, Yi-Ming, 2014. "Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach," Energy Economics, Elsevier, vol. 46(C), pages 112-121.
    5. Mariya Aleksandrova & Animesh K. Gain & Carlo Giupponi, 2016. "Assessing agricultural systems vulnerability to climate change to inform adaptation planning: an application in Khorezm, Uzbekistan," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 21(8), pages 1263-1287, December.
    6. Xiao-Chen Yuan & Bao-Jun Tang & Yi-Ming Wei & Xiao-Jie Liang & Hao Yu & Ju-Liang Jin, 2015. "China’s regional drought risk under climate change: a two-stage process assessment approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 667-684, March.
    7. Jiansheng Wu & Xin Lin & Meijuan Wang & Jian Peng & Yuanjie Tu, 2017. "Assessing Agricultural Drought Vulnerability by a VSD Model: A Case Study in Yunnan Province, China," Sustainability, MDPI, vol. 9(6), pages 1-16, May.
    8. Shih-Heng Yu & Yu Gao & Yih-Chearng Shiue, 2017. "A Comprehensive Evaluation of Sustainable Development Ability and Pathway for Major Cities in China," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    9. Itziar González Tánago & Julia Urquijo & Veit Blauhut & Fermín Villarroya & Lucia De Stefano, 2016. "Learning from experience: a systematic review of assessments of vulnerability to drought," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 951-973, January.

    More about this item

    Keywords

    Drought vulnerability; mitigation strategy; data envelopment analysis; analytic hierarchy process; genetic algorithm;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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