The research of river basin ecological compensation based on water emissions trading mechanism

Author:

Lu Zuliang12,Xing Lu1,Xu Ruixiang1,Hou Chunjuan3,Yang Yin4

Affiliation:

1. a Key Laboratory for Nonlinear Science and System Structure, Chongqing Three Gorges University, Chongqing 404000, China

2. b Research Center for Mathematics and Economics, Tianjin University of Finance and Economics, Tianjin 300222, China

3. c Department of Data Science, Guangzhou Huashang College, Guangzhou 511300, China

4. d School of Mathematics and Computational Science, Xiangtan University, Hunan 411105, China

Abstract

ABSTRACT By integrating the successful case of the European Union emissions trading system, this study proposes a water emissions trading system, a novel method of reducing water pollution. Assuming that upstream governments allocate initial quotas to upstream businesses as the compensation standard, this approach defines the foundational principles of market trading mechanisms and establishes a robust watershed ecological compensation model to address challenges in water pollution prevention. To be specific, the government establishes a reasonable initial quota for upstream enterprises, which can be used to limit the emissions of upstream pollution. When enterprises exceed their allocated emissions quota, they face financial penalties. Conversely, these emissions rights can be transformed into profitable assets by participating in the trading market as a form of ecological compensation. Numerical simulations demonstrate that various pollutant emissions from upstream businesses will have various effects on the profits of other businesses. Businesses in the upstream region received reimbursement from the assigned emission rights through the market mechanism, demonstrating that ecological compensation for the watershed can be achieved through the market mechanism. This novel market trading system aims at controlling emissions management from the perspectives of individual enterprises and ultimately optimizing the aquatic environment.

Funder

National Science Foundation of China

National Social Science Fund of China

Publisher

IWA Publishing

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