scholarly journals Evaluation of Environmental Information Disclosure of Listed Companies in China’s Heavy Pollution Industries: A Text Mining-Based Methodology

2021 ◽  
Vol 13 (10) ◽  
pp. 5415
Author(s):  
Rongjiang Cai ◽  
Tao Lv ◽  
Xu Deng

Environmental information disclosure (EID) of listed companies is a significant and essential reference for assessing their environmental protection commitment. However, the content and form of EID are complex, and previous assessment studies involved manual scoring mainly by the experts in this field. It is subjective and has low timeliness. Therefore, this paper proposes an automatic evaluation framework of EID quality based on text mining (TM), including the EID index system’s construction, automatic scoring of environmental information disclosure quality, and EID index calculation. Furthermore, based on the EID of 801 listed companies in China’s heavy pollution industry from 2013 to 2017, case studies are conducted. The case study results show that the overall quality of the EID of listed companies in China’s heavily polluting industries is low, and there is a gap differentiation between the 16 industries. Compared with the subjective manual scoring method, TM evaluation can evaluate the quality of EID more effectively and accurately. It has great potential and can become an essential tool for the sustainable development of society and listed companies.

2021 ◽  
Vol 9 (4) ◽  
Author(s):  
Xuan Wang

Based on the research samples of Listed Companies in heavy pollution industries in Shandong Province, this paper studies the current situation of their environmental information disclosure, finds out the problems existing in the environmental information disclosure of such companies, analyzes the causes of the problems from different levels, and finally puts forward countermeasures and suggestions to improve the environmental information disclosure of Listed Companies in heavy pollution industries, in order to provide some reference for improving the level and quality of environmental information disclosure of Listed Companies in heavy pollution industry.


2017 ◽  
Vol 9 (4) ◽  
pp. 140
Author(s):  
Wenbing Luo ◽  
Juanzhi Wang ◽  
Bo Li

Based on stakeholder theory, this paper takes China’s listed companies of heavy pollution industry from 2011 to 2014 as the research objects, and studies the working mechanism of external pressures and top executives’ characteristics on level of environmental information disclosure (EDI). The results show that external pressures from government regulation and public opinion supervision significantly improve EDI; Top executives’ compensation affects EDI most, followed by top executives’ political connections; Top executives’ shareholding is slightly positively correlated with EDI; Enterprises with political connections receive more government regulation and public opinion supervision than those without; Top executives’ political connections weaken the effect of government regulation on EDI.


2020 ◽  
Vol 185 ◽  
pp. 02018
Author(s):  
Shi Xiao

Concentrating on environmental issues in financial statement auditing is the main way for auditors to fulfill their environmental protection responsibilities. By studying the impact of environmental information disclosure on audit fees and audit opinions, we can infer how closely the auditors focus on environmental matters to some extent. In this paper, listed companies with serious pollution in A-share market in China from 2014 to 2019 are selected as research samples to explore the correlation among environmental-related information disclosure, audit fees and audit opinions. Through empirical analysis, it is found that the level of environmental information disclosure of listed companies in heavily polluted industries is positively correlated with the audit fees, and negatively correlated with the publication of non-standard audit opinions.


2019 ◽  
Vol 12 ◽  
pp. 194008291983991 ◽  
Author(s):  
Hong Tao Chen ◽  
Wei Han ◽  
Mao Lin An

The race to the bottom theory of environmental regulation mainly refers to state or local governments competing to lower their environmental regulation standards in pursuit of their own interests. Since the reform of the Chinese tax distribution system in 1994, local governments have encouraged economic competition through various industrial subsidies and tax preferences. Moreover, in China’s political system, which promotes fiscal decentralization and economic competition, competition has provided local governments with the opportunity to race to the bottom by secretly reducing the environmental regulations of enterprises to obtain financial returns and promote capital. Using the race to the bottom theory of environmental regulation, this article identifies the land revenue data and environmental information disclosure (EID) quality data of listed companies in China from 2012 to 2014 and uses the hierarchical linear model to study the direct and indirect effects of local governments’ financial competition on the EID of listed companies in their jurisdictions. It was found that (a) Regional financial competition does not directly influence the quality of an enterprise’s EID but has a significant negative regulatory effect. (b) The higher the degree of regional competition, the more obvious the negative regulatory effect. (c) The financial competitiveness of tropical and subtropical regions in China is higher than that of other regions, and the EID quality of enterprises in these regions is lower. (d) Governmental financial competition in tropical and subtropical regions regulates the quality of EID of listed companies in their jurisdictions through indirect effects on enterprises with different ownership and profitability; However, with the exception of tropical and subtropical regions, this phenomenon is not significant in other provinces.


2021 ◽  
Author(s):  
Ye Wei ◽  
Wenjian He

Abstract This study takes the anti-corruption campaign of the 18th CPC National Congress in China as an exogenous impact, using the data of heavy polluting enterprises in Shanghai and Shenzhen A-share manufacturing industry over 2008–2018 and the local level data to build a double difference (DID) model, which proves that anti-corruption can increase the quality of enterprise environmental information disclosure significantly. After a series of tests such as parallel trend test and placebo test, the results are still robust. The intermediary effect model results indicate that the anti-corruption increases the violation cost of enterprises and encourages enterprises to carry out innovation activities, and ultimately increase the quality of enterprise environmental information disclosure. Considering that enterprise nature, enterprise size, and the environmental supervision strength will influence the quality of enterprise environmental information disclosure differently. We further construct a group regression model for heterogeneity analysis and finds that non-state-owned enterprises, large enterprises and regions with more substantial environmental supervision will improve the quality of enterprise environmental information disclosure to a greater extent. The findings of paper can help understand the internal mechanism between anti-corruption and corporate environmental information disclosure and provide empirical evidence for the implementation of mandatory environmental information disclosure policy.


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