Measurement of the relationship between water quality and economic development in the Yangtze river economic belt from the perspective of grey water footprint

doi:10.14088/j.cnki.issn0439-8114.2022.06.008

Abstract

Abstract: Based on the theory of water footprint, the interactive relationship between water pollution and economic growth were explored in the Yangtze river economic belt from the perspective of water environmental pollution （grey water footprint）, and used the decoupling model to further study the decoupling relationship between economic development and gray water footprint in the Yangtze river economic belt. The total gray water footprint and structural change characteristics were calculated and analyzed of the Yangtze river economic belt from 2001 to 2015, the water resources pressure of each province and city in the Yangtze river economic belt was comprehensively evaluated, the water pollution situation of each province was analyzed by industry. The study found that the total gray water footprint of the Yangtze River Economic Belt showed a fluctuating downward trend, and the decoupling relationship between the gray water footprint and GDP growth showed a transition from weak decoupling to strong decoupling, which indicated that the coordination degree of water environment and economic and social development in the region was significantly enhanced. However, the agricultural grey water footprint was still weakly decoupled in Hunan, Hubei, Yunnan, Guizhou and other provinces and cities. Therefore, it was necessary to further strengthen the prevention and control of agricultural water pollution in this area in the future to achieve coordinated and sound development among industries.

Key words: grey water footprint, economic growth, decoupling index, Yangtze river economic belt

CLC Number:

F205
X502

LU Xian-zhi, CHE Li. Measurement of the relationship between water quality and economic development in the Yangtze river economic belt from the perspective of grey water footprint[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(6): 41-47.

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