PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (6): 924-937.

• Special Issue | Evolution of the Poverty Regional System •

### Measurement of economic resilience of contiguous poverty-stricken areas in China and influencing factor analysis

DING Jianjun, WANG Zhang*(), LIU Yanhong, YU Fangwei

1. School of Business, Jishou University, Jishou 416000, Hunan, China
• Received:2019-12-31 Revised:2020-04-21 Online:2020-06-28 Published:2020-08-28
• Contact: WANG Zhang E-mail:915582559@qq.com
• Supported by:
National Natural Science Foundation of China(41761022);Science Fund for Distinguished Young Scholars of Hunan Province(2020JJ2025);Key Program of Social Science Foundation in Hunan Province(18ZDB031);Platform Program of Key Laboratory of Ecotourism in Hunan Province(STLV1815);Project of Jishou University(19SKY88)

Abstract:

It is of great significance to consolidate the achievements of poverty alleviation and enhance development capacity and the ability to resist shocks in contiguous poverty-stricken areas. Economic resilience, as an indicator of the resistance, recovery, adjustment, and transformation ability of regional economic systems in response to shocks, can effectively reflect the ability to resist shocks and the risk of returning to poverty in contiguous poverty-stricken areas. Based on the data of 12 contiguous poverty-stricken areas in China, economic resilience was measured and compared by constructing a comprehensive index system and core evaluation variables, and a variety of regression models were used to identify the main influencing factors. The results show that: 1) The economic resilience of contiguous poverty-stricken areas is lower than non-contiguous poverty-stricken areas. In both types of areas economic resilience has been increasing year by year, but the growth rate of non-contiguous poverty-stricken areas is slightly faster. After decomposing the index, it was found that the difference in economic resilience between contiguous poverty-stricken areas and non-contiguous poverty-stricken areas is primarily due to the ability to adapt and adjust. 2) Luoxiao Mountains, Yanshan-Taihang Mountains, and Dabie Mountains have the highest mean values of economic resilience, while the border mountainous areas in western Yunnan Province, Liupan Mountains, and the Tibetan area of four provinces have the lowest mean values of economic resilience. 3) The economic resilience of most areas was increasing. The areas with higher economic resilience tend to grow faster, but the economic resilience of the Tibetan area of four provinces, Liupan Mountains, and Lvliang Mountains showed a downward trend. Among them, the decline in Lvliang Mountains is the most obvious. After decomposing the economic resilience of different regions, it was found that the differences in adaptation and adjustment capabilities were the largest in different regions, and the differences in innovation and transformation capabilities were the smallest. 4) Variables such as geographical location, assets investment per capita, dependence on international trade, the level of self-sufficiency in finance, expenditure on education, and the number of patents have significant effects on the economic resilience and its growth in poverty-stricken areas. 5) Poverty alleviation policy is conducive to enhancing economic resilience. Areas with low economic resilience are highly dependent on poverty alleviation policies, among which the Tibetan areas in four provinces, Liupan Mountains, and the border mountainous areas of western Yunnan are most heavily dependent on poverty alleviation policies.