Economic resilience and recovery efficiency in the severely affected area of Ms 8.0Wenchuan earthquake

被引：0
|
作者：
Zhou K. [1 ]
Liu B. [2 ]
Fan J. [1 ,2 ]
机构：
[1] Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing
[2] Institutes of Science and Development, CAS, Beijing
来源：
Dili Xuebao/Acta Geographica Sinica | 2019年 / 74卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Economic resilience; Malmquist productivity index; Post- disaster reconstruction area; Recovery efficiency; Wenchuan earthquake;
D O I：
10.11821/dlxb201910009
中图分类号：
学科分类号：
摘要：
It is of great significance to enhance disaster prevention and response capacity to reveal the post- disaster economic development and recovery process, and to formulate the control policies and recovery methods for post- disaster economic reconstruction according to the economic resilience. Based on the long-term socio-economic data and ARIMA model, this paper calculated the economic resilience index of severely affected area of Wenchuan earthquake, and adopted the improved Variable Return to Scale (VRS) DEA model and Malmquist productivity index to analyze the efficiency and effect of annual post- disaster recovery. The results show that: (1) The economic resilience index of earthquake severely affected area is 0.877. The earthquake caused a short-term economic recession in the affected areas, but the economy returned to its pre- quake state within two years. In addition, the industrial economy is less resilient than agriculture and service industries. (2) The comprehensive economic recovery efficiency of the disaster-stricken area in the year after the disaster is 0.603. The comprehensive efficiency, pure technical efficiency and scale efficiency of the plain hilly area are significantly higher than those of the plateau mountain area. (3) The annual fluctuation of total factor productivity after the disaster was strong, and the economic recovery efficiency declined significantly, resulting in a short- term economic recession. The TFP index returned to steady state after a decline of 33.7% and 15.2% in the two years after the disaster. (4) The significant decline in the post-disaster recovery efficiency is mainly caused by technological changes, and the renewal of production system is the leading factor in determining the economic resilience after the disaster. With the decline in the scale of economic recovery, the long-term economic recovery in the study areas mainly depends on pure technical efficiency, and the improvement of pure technical efficiency is the driving force to maintain the long-term growth of post-disaster economy. Therefore, in view of the differences between the reconstruction of natural conditions and the stage of economic development, the disasterstricken areas need to change and readjust their economic structures actively. Meanwhile, we should pay attention to updating production system to enhance the level of technological progress, and give full play to the scale effect of large-scale capital, facilities, manpower and other factors investment, so as to enhance the response to the disaster impact of economic resilience and recovery efficiency. © 2019, Science Press. All right reserved.
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页码：2078 / 2091
页数：13
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