Evaluation and Research on Urban Carbon Peak Development in China from the Perspective of Green Finance
Empirical Study based on Sample Data from Pilot Cities
DOI:
https://doi.org/10.54691/fsd.v3i5.5017Keywords:
Carbon Peaking; Factor Analysis; Cluster Analysis; Entropy Method.Abstract
In September 2020, China first proposed carbon peak, and China's green finance development ushered in new development opportunities. Based on the important influence and role of cities in the national carbon emission reduction work, and under the background of green finance, this paper evaluates and studies the carbon peak development of pilot cities of low-carbon economy in China. This paper first takes low carbon pilot cities as samples, incorporates green finance into the influencing factors of carbon peaking, and constructs indicators of urban green finance development degree through entropy method. Secondly, factor analysis is used to summarize the relevant factors that affect the carbon peak development process of pilot cities, and a comprehensive ranking and evaluation of factor scores are given for the selected sample cities. Once again, by using cluster analysis to understand the types, characteristics, and differences of carbon peak trends in sample cities, local governments can design and carry out differentiated carbon peak actions to promote energy conservation and emission reduction in pilot cities. Finally, suggestions and suggestions are proposed to accelerate China's efforts to achieve carbon peak targets.
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Su Yali, Zeng Xiaohan, Mao Ying. Analysis of China's urban carbon peak potential and path in the context of green finance - based on cross-sectional data of 17 low-carbon pilot cities [J]. Green Science and Technology, 2022,24 (17): 274-280.
Zhang Youguo, Dou Ruoyu, Bai Yujie. Measurement of China's green and low-carbon carbon cycle development economic system construction level [J]. Research on Quantitative Economy and Technology Economy, 2020,37 (08): 83-102.
Wang Yanhong. Research on Investment Value of Listed Companies Based on Principal Component and Cluster Analysis [J]. Inner Mongolia Science and Technology and Economy, 2022 (12): 50-51+54.
Li Jie Research on the Motivation Mechanism of Manufacturing Industry Transformation and Upgrading Based on the Diffusion of Information Network Technology [D]. Shandong University, 2019.
Qiu Yue. Analysis of the Consumption Expenditure Structure of Chinese Residents Based on Factor Analysis [J]. Journal of Ningxia Normal University, 2018,39 (04): 73-78.
Lai Shengyu Zhi Evaluation of Green Development Competitiveness of Provincial Capital Cities and Municipalities in the Yangtze River Economic Belt [D]. Chongqing University of Technology and Industry, 2019.
Yuan Qian, Wu Lihua, Zhang Ping. Research on the Measurement and Convergence of Green Total Factor Productivity in Patent Intensive Industries in China [J]. Science and Technology Progress and Countermeasures, 2020,37 (14): 76-85.
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