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In this paper, the authors take the central environmental protection inspection (CEPI) as an exogenous shock to study the reaction of the stock market in China. Using the event study method, the authors check how the first round of the first batch of CEPI supervision affects the cumulative abnormal return (CAR) of the listed firms on the Shenzhen or Shanghai stock exchange. This paper aims to discuss the aforementioned objective.

In this paper, the authors take the first round of the first batch of CEPI supervision as a clean exogenous shock to study its effects on the capital market. The authors collect daily trading data from the China stock market and accounting research (CSMAR) database, with the sample containing 1,950 Chinese firms listed on either the Shenzhen or Shanghai stock exchanges. And detailed information on CEPI supervision is obtained from the official website of the Ministry of Ecology and Environment of the People's Republic of China. The event study method is adopted to analyze the reaction of the stock market under CEPI supervision. Specifically, the authors constructed the cumulative abnormal return of each firm around the event day of CEPI. To capture the deterrent effects of CEPI supervision, the authors examine the situation of polluting and non-polluting firms in the supervised provinces, adjacent provinces and provinces that are not supervised or close to the supervised provinces, respectively.

This paper throws light on the following: (1) the polluting firms in the supervised provinces were negatively impacted by CEPI within 20 trading days of the event day, and its effects spread to the polluting firms in the neighboring provinces; (2) CEPI had a favorable impact on the non-polluting businesses in the provinces that are neither supervised nor close to the supervised provinces. The authors contend that it is because the investment is being forced out of the polluting sector and into the non-polluting sector, which is more pronounced in the provinces not directly or indirectly targeted by CEPI; (3) by comparison, the “looking back monitoring of the first round” has had no discernible detrimental impact on the firms' CAR, indicating an important role of psychology anticipation of investors in the stock market performance; (4) although not physically located in the supervised provinces, the downstream enterprises of the polluting firms suffer significantly from CEPI shock; (5) the effectiveness of CEPI supervision in the supervised provinces depends on the level of local environmental regulation and the ownership structure of the company. Private firms in the provinces with stronger environmental regulations suffer more from the CEPI shock; (6) the multivariate analysis shows that while enterprises with high ROE and financial leverage may be at risk of CAR loss, older, larger firms are less likely to experience CEPI shock; (7) the study of persistent effect reveals that the strike of CEPI supervision can last for at least 10 months after the event day and deterrent effect can be spread within the whole polluting industry.

In this paper, the authors only concentrate on the market reaction within 20 trading days after the event day. An analysis of long-term effects should be valuable to get a deeper knowledge of the capital market reaction to the CEPI policy. In addition, the paper only focuses on the first round of the first batch of CEPI. Since CEPI has been built as a constant regulation of local environmental performance, further study may need to track both the reaction of listed firms and investment behavior in the capital market.

Policy implications of the paper are as follows: First, for the policymakers, it is important to construct a constant environmental regulation system instead of a campaign movement. Second, for investors, as environmental issues are receiving increasing attention from both the government and the public, investment decisions should take into account firms' environmental performance, which can help reduce the risk from environmental regulations. Third, the firms in the polluting industry should take more action to reduce pollutant releases and adopt green technology, which is essential for sustainable development under environmental protection.

This paper contributes to the existing literature in the following aspects. First, the authors provide new evidence on the effects of environmental regulations as a shock to the stock market, which has been wildly concentrated in the literature about environmental policies evaluation and capital market reaction. Second, the authors supplement the literature on green finance and sustainability transformation, which has got increasing attention in recent years. Theoretically, by guiding investment and affecting the stock market performance, environmental regulations are considered to be an efficient way to stimulate polluting firms to transform into green development. The results of the paper support this intuition by showing that the CAR of the non-polluting firms in non-supervised provinces in fact benefit from the CEPI supervision.

This study aims to use Porter’s hypothesis (PH), which tests whether corporates’ green investment has an impact on their economic performance (EP). The study argues that corporates’ environmental strategy should allow for a “win-win” situation concerning regulatory compliance.

The quantitative methodology used PH to test empirically the economic consequences of corporates’ green investment in China.

This study indicates that there is a U-shaped relationship between green/environmental investment (EI) and EP. When EI is less, corporates’ EP follows a downward sloping curve until the scale of EI increases and exceeds the “threshold.” From this turning point, EP follows an upward-sloping curve as EI increase. This relationship is more significant in high-polluting companies and state-owned companies.

The empirical results extend the research field of EI and EP for listed companies in China and cover 1,324 observations over the period 2008–2017.

First, the authors expand the research on green/EI and EP using firm-level data. Second, the study empirically tests the economic consequences of corporates’ green investment. Third, this study finds a non-linear relationship between green investment and EP due to the heterogeneity of industry attributes and property rights. These findings provide better explanations for the different research conclusions regarding the economic consequences of green investment.

Compared to global research, China’s research on EI has mainly focused on the macro and industry levels. There is still a lack of micro-level research. The paper addresses this research gap as the authors use firm-level EI data to capture companies’ green investment efforts in environmentally sustainable development and its subsequent impact on EP.

As China's economy begins to transform into a high-quality development, and under the national “carbon peak and carbon neutral” target, all sectors of society and industries need to transform to green development to varying degrees, coupled with the catalyst of epidemics and other factors, new development requirements are put forward for enterprises to better fulfill their climate risk disclosure behaviors. Thus, it is clear that improving corporate climate risk disclosure is of far-reaching significance to both countries and enterprises.

This study incorporates management science, psychology and other related knowledge fields, based on stakeholder theory and media dependency theory, and aims to improve the level of corporate compliance with climate risk disclosure, suggesting the influence of entrepreneurs' visibility on corporate climate risk disclosure; on this basis, the role of entrepreneurs' visibility and media attention on corporate climate risk disclosure is verified through an empirical model; finally, targeted and effective response strategies are proposed to improve corporate climate risk disclosure, set reasonable media attention and increase the effectiveness of entrepreneurs' visibility.

This paper establishes a multiple regression model using A-share listed companies in China from 2016 to 2022 as the research sample, verifies the intrinsic association between entrepreneurial visibility and corporate climate risk climate disclosure through empirical analysis, and further examines the mediating role of media attention in the relationship between the two. The results show that entrepreneurs' visibility is positively related to the level of corporate climate risk disclosure, with media attention playing a part in mediating the relationship between the two. Increasing entrepreneurs' visibility is conducive to increasing the level of corporate climate risk disclosure. Therefore, it contributes to the dual incentive effect of reputation and compensation.

This study incorporates management science, psychology and other related knowledge fields, based on stakeholder theory and media dependency theory, and aims to improve the level of corporate compliance with climate risk disclosure, suggesting the influence of entrepreneurs' visibility on corporate climate risk disclosure; on this basis, the role of entrepreneurs' visibility and media attention on corporate climate risk disclosure is verified through an empirical model; finally, targeted and effective response strategies are proposed to improve corporate climate risk disclosure, set reasonable media attention and increase the effectiveness of entrepreneurs' visibility.

The purpose of this paper is to test the influence of selected company‐ and industry‐related variables on environmental disclosure practices (EDPs) of the large manufacturing Indian companies.

The work was done in three phases. In the first phase, an index of environmental disclosure was constructed consisting of 23 items of environmental information. Opinions of chartered accountants were obtained on the importance of each of these items in making sound investment and other decisions. Using this index, in the second phase, EDPs in the annual reports of 91 large manufacturing companies were examined for a period of three consecutive years. Environmental disclosure score (EDS) percentages were calculated for each of the companies for all the three years. The relationship between EDS percentages and ten selected variables was analyzed with the help of the multiple regression technique in the last phase.

The results provide strong evidence in support of the influence of variables size, profitability, sector, industry and environmental performance on EDPs.

The work involves analysis of EDPs of large manufacturing companies in India only. Non‐manufacturing and small companies were excluded from the scope of the work. Disclosure of environmental information by other media like stand‐alone corporate environmental report (CER) and internet was not considered. It was felt that further research was necessary to find the impact of other factors like country origin, organizational culture, experience with pressure groups and media profile on disclosure practices.

It was felt that environmental reporting should be made mandatory in India at least in the major polluting industries. Companies should also voluntarily try to provide audited environmental information in the annual reports to build credibility and trust among corporate stakeholders.

The paper presents empirical evidence of EDPs of large manufacturing companies in India. It provides an insight into the factors that cause a difference in these practices.

Against the background of the enormous economic transition China is undertaking, government intervention over corporate behavior is a frequent and, arguably, necessary measure. Among the most serious problems facing China, economically and reputationally, are environmental issues. So, how is the government intervening in the environmental performance of Chinese enterprises? And how are Chinese enterprises responding? These are the questions to be answered in this study.

This paper sampled listed companies on China’s Shanghai and Shenzhen Stock Exchanges. The data were collected from the HeXun corporate social responsibility report, CSMAR and WIND databases. A Tobit model was used to conduct the main 2SLS regression analysis, and the robustness tests followed the propensity score matching method.

The analysis shows that environmental performance is positively related to the government subsidies a company receives. The “Eight-point Regulation of the Centre” crack-down on social corruption introduced in 2012 has weakened rent-seeking overall, but rent-seeking behavior through the cloak of corporate environmental performance has become more serious. As a result, non-polluting and state-owned enterprises are significantly less concerned about their environmental performance, while polluting and private enterprises are more motivated to become good environmental citizens.

This research provides a greater understanding of the drivers behind environmentally-responsible behavior in Chinese companies. These insights can be used by policymakers and environmental regulators to incentivize a more widespread ground-swell of change across the gamut of Chinese business.

Environmental policy and practice informed by research-driven recommendations can not only make valuable contributions to the health and well-being of Chinese society but also, as a significant contributor to climate change, environmental reforms have global benefits.

This study explores the motivations behind rent-seeking associated with environmental investment. The findings expand the research horizon of relevant literature on corporate political rent-seeking and deepen the understandings of the economic consequences of corporate investment into environmental practice. The results provide empirical evidence for the Chinese government to implement environmental regulations based on incentives beyond simple profit-making.

In recent years, environmental issues and resource depletion have posed significant challenges to firms and society. To address these environmental challenges, firms seek to build strategic alliances of green supply chain management (GSCM) with their supply chain partner. As the largest developing country in the Asia–Pacific region, China needs to take more responsibility for environmental protection, which requires more Chinese firms to participate in GSCM. Therefore, focusing on the issue of GSCM and innovation persistence in the context of an increasingly harsh ecological environment is essential.

To test the hypothesis, the authors perform an empirical analysis on a sample of 124 listed firms in China from 2014 to 2019. The results are robust to a battery of robustness analyses the authors performed to take care of endogeneity.

Empirical results indicate that GSCM can promote innovation persistence and both market environment turbulence and technology environment turbulence have a positive moderating effect on the relationship between the two. Mechanism tests show that GSCM can improve innovation efficiency, ensure innovation quality and alleviate financing constraints, thus promoting the innovation persistence of firms.

This study can provide a theoretical basis for the country to promote GSCM orientation, raise firms' awareness of the value of GSCM, convey the significance of GSCM to investors, influence firms' investment decisions and give experience to other developing countries.

China has emerged as the world's second-largest economy due to rapid industrial expansion and phenomenal economic growth of China in recent decades. Though, this exponential economic turnaround has been fueled by widespread energy consumption, making China among the largest pollutant emitters in the world. Chinese enterprises have come under greater scrutiny and the Government has mandated Chinese companies to undertake environmental protection investment. This study aims to explore the relationship between environmental protection investment and enterprise innovation by taking evidence from Chinese listed firms.

The data of 2,568 Chinese A-share listed firm-year observations were collected from the Shanghai and Shenzhen stock exchanges during 2008–2016. This study employed ordinary least square and panel data fixed effects techniques to ascertain the association between proposed variables.

The authors' findings conjecture the crowding-out effects of environmental investments on enterprise innovation-related expenditures. Furthermore, additional empirical testing reveals that Research and Development (R&D) undertakings of state-owned and politically connected enterprises are not affected by environmental investments. Likewise, corporate innovation activities are not negatively influenced by environmental investments in polluting industries. The study findings offer fresh insights to regulators, corporate managers and stakeholders. The authors' results are robust to alternate econometric specifications and alternate variable specifications.

This study makes the following contributions toward the extant literature. First, the study investigates if there is a crowding-out effect of spending on environmental protection in the current period and the innovation expenditure in the upcoming period. Empirical results confirm that there exists a trade-off between both types of spending, implying that the spending on environmental protection will negatively influence the spending on innovation. Second, the study deepens the analysis in considering other influences in this relationship. For instance, the authors' separately consider the aforementioned trade-off in state-owned enterprises and non-state-owned enterprises. The study also examines the mediating influence of corporate political connections and industry attributes, whether or not these influence the relationship between the actual spending on environmental protection and the upcoming spending on innovation.

This study introduces Social Contribution Value per Share (SCVPS), an indicator devised by the Shanghai Stock Exchange (SSE), as an easy-to-interpret Measurement of Corporate Social Performance (MCSP) to the international research arena. The authors first explore the informativeness role of voluntary disclosure of SCVPS in the stock market. The authors then go one step further to demonstrate the relationship between corporate value creation quantified by SCVPS and firm value.

The study takes a new perspective – a quasi-natural experiment of SCVPS disclosure in 2008 and uses a Propensity Score Matched Difference in Difference model (PSM-DiD) to investigate the impact of SCVPS disclosure policy on stock price synchronization and firm value. Through manually recalculating all the values of SCVPS and its components, this study enables us to further investigate the relationship between corporate value creation for various stakeholders and firm value.

This study reveals that voluntary disclosure of SCVPS can signal firm-specific information to the market and reduce noise in returns, thus affecting stock price synchronization. The findings further demonstrate that such firm-specific information has value relevance to firm performance. Moreover, the authors demonstrate that corporate value creation for different stakeholders measured by SCVPS can significantly affect firm value. The moderating effects of ownership structures and industry types are also investigated, and an endogeneity test confirms the robustness of the findings.

This study argues that SCVPS offers an economically viable way for firms, including small-and-medium-sized enterprises, in emerging economies to disclose corporate value creation and provide the public with a direct understanding and appreciation of the values created by corporations for stakeholders.

The result makes contributions to the MCSP literature and explores the informativeness of SCVPS disclosure. Besides, this paper demonstrates that SCVPS offers a good setting to explore the effect of corporate value creation on firm performance in an emerging market.

This study aims to evaluate the nature and extent of sustainability disclosure practices of publicly listed companies in India. Further, it investigates the impact of potential determinants on the sustainability disclosure of companies.

The study analyzes data of 75 top listed nonbanking companies operating in India included in NIFTY100 Index for the years 2014-2015 to 2018-2019. In the present study, environment, social and governance disclosure dimensions were considered to evaluate the sustainability reporting performance of companies using content analysis. Panel data analysis was conducted to investigate the impact of various factors on the extent of sustainability information disclosure.

Results indicate that environmentally polluting industries disclose significantly higher sustainability information than non-polluting industries in India. The empirical findings suggest that determinants such as company size, age, free cash flow capacity, government ownership and global reporting initiative (GRI) usage positively related to the extent of corporate sustainability disclosure. Contrary to the expectations, financial leverage and profitability were found to be negatively related to the sustainability disclosure of companies in India.

This study provides empirical evidence for regulators, practitioners and corporate strategists to assess the progress in the sustainability reporting landscape in India. The finding implies that large and established companies can reduce legitimacy costs through higher sustainability information disclosure. Interestingly, this premise did not hold in the case of high leveraged and profitable companies. Overall findings can also help policymakers to incorporate necessary reforms to improve sustainability reporting in India.

This study is one of the first studies to investigate the nature, extent and potential determinants of corporate sustainability disclosure in India. The paper adds to the existing literature on sustainability reporting by providing empirical evidence on the relationship between sustainability reporting and potential determinants such as government ownership, size, leverage, profitability, age, free cash flow capacity, industry and GRI usage.

The connection between digital manufacturing technologies (Industry 4.0) and the environment has sparked discussions on firms' disclosure of negative information on pollutant emissions and the pursuit of positive environmental outcomes. However, very few studies explore how it relates to a firm's robot usage and its mechanism. The purpose of this paper is to investigate the impacts of robot penetration on firms' environmental governance in China.

The ordered probit model (and probit model) are employed and empirically tested with a sample of 1,579 Chinese listed firms from 2010 to 2019.

The study reveals a negative relationship between robot usage and the disclosure of negative indicators and a U-shaped relationship between robot usage and positive environmental outcomes. Among the sample, nonstate-owned enterprises (SOEs) display unsatisfactory performance, while heavily polluting industries disclose more information on pollutant emissions. The robot–environmental governance nexus is conditional on firm size, capital intensity and local economic development.

The study proposes a fresh view of corporate environmental governance to assess the environmental implications of robot adoption. It also contributes to identifying the curvilinear, moderating and heterogenous effects in the robot–environment nexus. The results provide rich policy implications for the development of industrial intelligence and corporate environmental governance in the circular economy (CE) context.