ORIGINAL RESEARCH
Research on the Correlation between
Environmental Performance and Financial
Performance in China’s Heavy Pollution
Industries Based on RAGA-PP Model
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1
Department of Economics and Management, North China Electric Power University, Baoding, Hebei, 071003, China
2
School of Business, Hebei University of Economics and Business, Shijiazhuang, Hebei, 050061, China
Submission date: 2021-10-05
Final revision date: 2022-02-09
Acceptance date: 2022-02-09
Online publication date: 2022-05-16
Publication date: 2022-06-20
Corresponding author
Yongzhen Sun
School of Business, Hebei University of Economics and Business, China
Pol. J. Environ. Stud. 2022;31(4):3195-3205
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ABSTRACT
With the rapid development of economy, environmental pollution is becoming more and more
serious. Whether the environment and economy can achieve a win-win situation has always been
a controversial issue. This paper conducts an empirical study on the correlation between environmental
performance and financial performance of 16 heavy polluting industries in China. The evaluation index
system is constructed by closely following the characteristics of high energy consumption and high
pollution in heavy pollution industry, and the projection pursuit model based on RAGA is applied to
measure the environmental performance and financial performance of enterprises, which can overcome
the interference and limitation of artificial assignment of data structure by traditional methods and has
the characteristics of strong anti-interference and high accuracy. On this basis, the relationship between
the two is investigated by establishing a multiple regression equation, and the results show that the
environmental performance of listed companies in China’s heavy pollution industry has a negative
relationship with financial performance, and the improvement of environmental performance does not
bring about an overall improvement in financial performance. Finally, this paper makes an in-depth
analysis of the causes of this result and puts forward some corresponding suggestions.