Coupling Coordination and Influencing Factors of Rural Water Resource Poverty and Economic Poverty in China During 2000-2017

Gou Kaige; Jiang Hui; Liu Zhaoyang

doi:10.13961/j.cnki.stbctb.20210909.001

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Coupling Coordination and Influencing Factors of Rural Water Resource Poverty and Economic Poverty in China During 2000-2017

- Coupling Coordination and Influencing Factors of Rural Water Resource Poverty and Economic Poverty in China During 2000-2017
- Bulletin of Soiland Water Conservation Vol. 41, Issue 5, Pages: 255-263(2021)
- 作者机构：
  
  吉首大学乡村振兴战略研究中心湖南吉首,416000
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.20210909.001
  CLC： F207;TV213.4
- Published：2021
- 稿件说明：
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Gou Kaige, Jiang Hui, Liu Zhaoyang. Coupling Coordination and Influencing Factors of Rural Water Resource Poverty and Economic Poverty in China During 2000-2017[J]. Bulletin of Soiland Water Conservation, 2021, 41(5): 255-263.
DOI：

Gou Kaige, Jiang Hui, Liu Zhaoyang. Coupling Coordination and Influencing Factors of Rural Water Resource Poverty and Economic Poverty in China During 2000-2017[J]. Bulletin of Soiland Water Conservation, 2021, 41(5): 255-263. DOI： 10.13961/j.cnki.stbctb.20210909.001.

摘要

[目的] 测算中国农村水资源贫困指数和经济贫困指数的耦合度和耦合协调度，为减轻农村水贫困与经济贫困提供理论依据和政策启示。[方法] 以中国31个省（市、区）为研究对象，运用层次分析法、熵值法、系统耦合协调度模型、空间杜宾面板数据模型等方法，研究了2000—2017年农村水资源贫困与经济贫困耦合协调度的时空分布特征和影响因素。[结果] ①从整体来看，虽然中国农村水资源贫困与经济贫困的耦合协调度不高，但大致呈上升趋势，且中国31个省（市、区）均表现为耦合度大于耦合协调度。②就空间角度而言，中国农村水资源贫困与经济贫困的耦合协调度呈现由东南部向东北、西南部扩散的态势，东部沿海地区的江苏和浙江、南部沿海地区的福建与广东、地处长江中游地带的湖南省的耦合协调度最高。③农村水资源贫困与农村经济贫困耦合协调程度存在明显的负向溢出效应。财政农林水事务支出对农业生产具有较大的促进作用，而农产品价格和第二、三产业比例提高会抑制其发展。[结论] 国家应加大或维持对农村原有的财政支持力度，充分发挥政府和市场在资源配置中的调节作用。合理调整农产品价格的同时，加大农业技术投入，加强地区间分工合作，促进产业升级，从而推保农村水资源与农村经济协调发展。

Abstract

[Objective] The coupling degree and coupling coordination degree of China's rural water resources poverty index and economic poverty index were calculated in order to provide a theoretical basis and policy enlightenment for alleviating rural water poverty and economic poverty.[Methods] Spatio-temporal distribution characteristics and influencing factors of the coupling coordination degree of rural water resource poverty and economic poverty from 31 provinces (cities and districts) in China during 2001-2017 were used with the analytic hierarchy process (AHP)

the entropy method

the system coupling coordination degree model

and the spatial Dublin panel data model.[Results] ① On the whole

although the coupling coordination degree of rural water resource poverty and economic poverty in China was not high

it was generally on the rise

and the coupling degree was greater than the coupling coordination degree of 31 provinces (cities and districts) in China. ② From the spatial perspective

the coupling coordination degree of rural water resource poverty and economic poverty in China was spreading from southeast to northeast and southwest. Jiangsu Province and Zhejiang Province in the eastern coastal region

Fujian Province and Guangdong Province in the southern coastal region

and Hu'nan Province in the middle reaches of the Yangtze River had the highest coupling coordination degree. ③ There was a significant negative spillover effect between the coupling coordination degree of rural water resource poverty and rural economic poverty. Fiscal expenditures on agriculture

forestry

and water conservancy play a significant role in promoting the development of agricultural products

while excessively high prices of agricultural products and the proportion of secondary and tertiary industries will inhibit their development.[Conclusion] Countries should increase or maintain financial support to the rural original

give full play to the government and market in the allocation of resources and adjust action. While reasonably adjusting the price of agricultural products

we should increase the input of agricultural technology

strengthen regional division of labor and cooperation

and promote industrial upgrading

so as to ensure the coordinated development of rural water resources and rural economy.

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references

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