Education, Science, Technology, Innovation and Life
Open Access
Sign In

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

Download as PDF

DOI: 10.23977/pree.2024.050203 | Downloads: 1 | Views: 69

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.

REFERENCES

[1] Zheng Defeng, Zang Zheng, Sun Caizhi. Review on green economy, green development and green transformation [J]. Ecological Economy, 2015, 31 (02): 64-68.
[2] Zhuang Xudong, Duan Junshan. Financial innovation, resource allocation and high-quality economic development: Analysis and evidence under the strategic background of building a strong financial country. [J].Research of Financial Economics, 2024 (1): 60-74
[3] Liu Shan-Shan. Evaluation and path selection of green development transformation of resource-based cities in Shanxi Province [D]. Xi 'an: Northwest University, 2018.
[4] Zeng Xian-Gang, Duan Cunru. Study on performance evaluation and regional differences of green transformation in coal-resource depleted cities.] China Population, Resources and Environment, 2018, 28 (07): 127-135.
[5] Wu Weihong, Cai Haibo, Liu Jia, Qin Zhen. Double effect of technological innovation and green transformation and upgrading of heavy polluting industries: from the perspective of carbon emission [J]. Economics and Management Research, 2023, 44(11):45-61.
[6] Fan Sheng-yue, Li Yao-Long, Ma Xiaojie, Liu Hong. An empirical study on the impact of digitization level on agricultural green development: based on panel data of 30 provinces in China [J]. World Agriculture, 2021(12):4-16.
[7] Hao S S, Zhu X An. Spatial measurement of influencing factors of regional green development level in China [J]. Economic Jingwei, 2019, 36 (01): 10-17.
[8] Zhu Xi 'an, Wei Guodong. Discussion on the good standard of dimensionless method in entropy method [J]. Statistics and Decision, 2015 (02): 12-15.
[9] Zhang Rongguang, Qian Chongbin, Wang Xiangyue. Study on efficiency of low-carbon transition in resource-based cities based on entropy weight-TOPSIS method: A case study of Panzhihua City [J]. Xuehai, 2016(04):158-162.
[10] Cui Gengrui. Measurement and Evaluation of high-quality industrial development level in China [J]. Statistics and Decision, 2022, 38(05):85-90. (in Chinese)
[11] Zhao Ao. Research on systematic evaluation and improvement of green transformation level in Northeast old industrial base. [J]. Northern Economy, 2019 (08): 77-80.
[12] Wang Yanqiu, Hu Nailian, Su Yiquan. Evaluation on green transformation capability of resource-based cities in China. Journal of Technology and Economics, 2012, 31 (05): 72-76.

Downloads: 858
Visits: 31155

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.