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Provincial Green Transformation in China: Spatio-temporal Pattern and Evolutionary Characteristics

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DOI: 10.23977/pree.2024.050203 | Downloads: 10 | Views: 352

Author(s)

Yonghao Guan 1, Xinyue Wang 1, Yuan Zhang 1, Yiqi He 2

Affiliation(s)

1 School of Public Finance and Taxation, Nanjing University of Finance and Economics, Nanjing, 210023, China
2 School of Accounting, Nanjing University of Finance and Economics, Nanjing, 210023, China

Corresponding Author

Yiqi He

ABSTRACT

China's development has embarked on the path of ecological priority, green and low-carbon development, and driving green transformation through environmental protection, industrial restructuring and technological innovation has become an important path. This paper constructs an indicator evaluation system on the basis of existing research, uses the entropy value method to more accurately measure the efficiency of green transformation in 29 Chinese provinces from 2003 to 2020. Through the use of ArcGIS, a spatial layout map of green transformation is drawn to analyze the spatiotemporal pattern and evolution characteristics of green transformation. The results indicate: (1) Overall, during the period of 2003-2020, the green transformation of each province has shown a stable and rising development trend. (2) There are significant regional differences in green transformation. The southeastern region has maintained a relatively good momentum in green transformation. (3) The effectiveness of China's green transformation has shifted from mainly cold spot regions in the past, with a few hot spot areas, to more intermediate and hot spot areas, mainly showing the characteristics of a stronger south and weaker north, and a stronger east and weaker west.

KEYWORDS

Green transformation, Entropy method, Cold and hot spot analysis

CITE THIS PAPER

Yonghao Guan, Xinyue Wang, Yuan Zhang, Yiqi He, Provincial Green Transformation in China: Spatio-temporal Pattern and Evolutionary Characteristics. Population, Resources & Environmental Economics (2024) Vol. 5: 23-30. DOI: http://dx.doi.org/10.23977/pree.2024.050203.

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