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The purpose of this study is to analyze the effect of foreign direct investment (FDI) on pollution emissions and how environmental regulation affects this relationship.

In the empirical research, the authors selected panel data for 30 provinces in China from 2005 to 2019 as samples. First, the authors used the instrumental variable method to verify the existence of the above hypotheses in China. Then, the authors analyzed the moderating effect of different types of environmental regulations on the environmental effects of FDI. Next, in further discussion, the authors analyzed the difference between the environmental effect and the moderating effect in different time periods and regions, respectively. Finally, the authors discussed whether the different intensities of environmental regulations lead to the transfer effect of FDI in choosing investment destinations.

The result shows that FDI can help reduce pollution emissions and create a “pollution halo” effect, which is enhanced by command-and-control regulation but suppressed by market-based incentives. The heterogeneity analysis reveals that the 18th National Congress of the Communist Party has weakened the pollution halo effect of FDI, while the environmental effect of FDI in the eastern region is not significant, but in the middle and western regions, there is a significant pollution halo effect and a positive moderating effect of environmental regulations. Finally, further analysis reveals that FDI has a transfer effect under command-and-control environmental regulations.

First, the main purpose of this paper is to study the relationship between FDI and pollution emissions from the perspective of heterogeneous environmental regulation. Therefore, there is no detailed discussion on their effect mechanism of them. Second, limited by data, the authors adopt the single index to measure the stringency index of command-and-control and market-based incentive environmental regulations in China. The single index may not be able to fully reflect the intensity of regional environmental regulation, so the construction of a composite indicator is necessary. These shortcomings are the focus of the authors' future research.

Under the guidance of high-quality development, the conclusions above can provide reference for adjusting FDI policies and improving environmental regulation policies.

The innovations in this paper can be summarized as the following four dimensions: First, the authors use the instrumental variable (IV) method to address endogeneity in the relationship between FDI and pollution emission, which can further ensure the robustness of the research results and increases the credibility of the paper. Second, the authors distinguish between two types of environmental regulations to investigate their moderating effect on the environmental impact of FDI. Third, the authors consider the temporal and spatial heterogeneity of both the environmental effects of FDI and the moderating effect of regulation. Last, the authors analyze the spatial spillover of environmental regulation through the study of the transfer effect.

The purpose of this paper is to explore the relationship between formal environmental regulation (FER) and informal environmental regulation (IER), technological innovation and employment.

This paper uses data from the 30 provinces of China during 2003–2015. The impacts of formal and IER and technological innovation on employment are estimated by generalized least squares, and the eastern region of China is analyzed separately.

First, both formal and IERs have different degrees of significant impact on employment, and the relationship is not a simple linear. FER has an inverted U-shaped relationship with employment, but IER has a U-shaped relationship. However, in the test including technological innovation, the results of the national sample and the eastern sample are different. In the eastern sample, the relationship between informal regulation and employment has an inverted U-shaped curve. Second, the results of model 3 and model 6 show that technological innovation has a significant negative effect on employment both in the national and the eastern region sample.

This paper puts forward corresponding policy implications: first, in designing environmental regulations, it is necessary to consider not only the stringency but also the type of regulation. Second, environmental regulations need to be differentiated by region. Finally, when designing environmental regulations, it is necessary to consider more flexible employment policies that are contingent on the stringency of regulations, in order to prevent employment decline due to technological innovations.

The conclusions about the influence of environmental regulation on employment reached are not consistent in China. Most existing research studies seldom consider environmental regulations into categories and focus only on the whole environmental regulation. This paper pays attention to the influences of different types of environmental regulations on employment. It analyzes the eastern region separately to explore whether there is a difference in the effects of environmental regulations. Furthermore, this considers the effect of technological innovation as a mediator.

The purpose of this paper is to explore how middle managers respond to the career challenges caused by environmental regulation. In particular, this paper examines whether environmental regulation strength is positively related to middle managers’ openness toward change, and whether middle managers’ openness toward change is positively related to proactive behavior. Furthermore, the moderating role of top managers’ bottom-line mentality in these two relationships is examined.

Cross-sectional survey research (n=155) was conducted. During a training program, data were collected from 155 middle managers from a listed company that manufactures primary products. With these data the authors examined the main relationship and also explored the moderating effect of top managers’ bottom-line mentality.

Analysis of the findings indicates that perceived environmental regulation strength influences middle managers’ openness toward change and consequently their proactive behavior. In addition, top managers’ bottom-line mentality moderates both the link between environmental regulation strength and openness toward change and the link between openness toward change and proactive behavior.

The findings of this study reveal how environmental regulation induces middle managers’ proactive behavior, and the influence of top managers’ mentality on how middle managers respond to environmental regulation both cognitively and behaviorally.

This paper aims to provide an overview of environmental regulation and recent trends and developments in this area, rooted in the practical regulatory implementation activities of EPAs worldwide and drawing connection to sustainability, environmental risks, economics and environmental justice.

The design and methodology in developing “Better (Environmental) Regulation” is addressed drawn on experiences from different regulatory systems. It addresses the linkages between environment, economy, regulation and sustainability and adopts and develops Sparrow's approach to a focus on tackling harms.

A range of challenges in policy and practice terms – e.g. economic growth versus sustainability – is described. Arguments against the political economy convention of reducing burdens are made and a spectrum of compliance for regulators is offered, leading to a proposed agenda to help deliver better regulation generally.

A major challenge in arguing for an anti‐burden approach is the lack of a general ecosystem services approach and the dearth of valuation data to validate industry claims, demonstrate the costs of compliance and non‐environment and the value of protection.

The argument is presented that environmental regulation is of fundamental value not only to the environment per se but to tackling climate change and protecting society at large.

Hitherto there has been very little in the literature from a practitioner perspective, analysing and proposing improvements to environmental regulation in practice while preserving and securing environmental and sustainability policy objectives. This paper should support and encourage policy makers and implementers in improving practice.

The purpose of this paper is to develop a better understanding of the mechanisms by which symbolic commitment to self-regulation influences corporate environmental performance through the adoption of substantive actions.

Using a sample of Chinese listed private firms in manufacturing sectors, this paper empirically investigates whether and how corporate symbolic commitment to environmental self-regulation really improves the consequences of corporate activities with respect to environmental issues under the current Chinese context. A moderated mediation analysis is employed to test the hypotheses and examine the relationships proposed in the research framework.

The authors argue that making a commitment to environmental self-regulation could motivate firms to implement effective means of being green. The intriguing and robust results show that firms with higher ranking environmental commitment are more likely to use political connections to obtain resources (green subsidies), and then improve environmental performance.

The results of this study provide a snapshot of the mechanism between symbolic promises and real outcomes.

The authors theorize about and test both direct and indirect effects of commitment to self-regulation on real outcomes which provide empirical evidence for the incipient but growing understanding of self-regulation.

The aim of this article is to research on forestry green total factor productivity and explore the impact of financial support on forestry green total factor productivity.

The methods used in this study are super efficiency SBM model of undesired output and empirical model. SBM model is a kind of Data Envelopment Analysis (DEA). The SBM model with non-expected outputs (slacks-based measure) can be used to deal with the problem of efficiency measurement with multiple input and output variables and can be used to analyze the efficiency of green development of forestry economy.

First, the overall green total factor productivity of the authors’ country's forestry has shown a trend of first decline and then an increase from 2008 to 2018, and there are significant spatiotemporal differences; second, financial support has a significant positive impact on forestry green total factor productivity; third, environmental regulation has a significant threshold effect in the process of financial support on forestry green total factor productivity, and the role of financial support shows a trend of first increasing and then decreasing.

Secondly, taking the data of 30 provinces and cities in the authors’ country from 2008 to 2018 as the research object, using the super-efficiency SBM-Malmquist index to measure the country's forestry green total factor productivity and analyze its temporal and spatial changes; finally, a dynamic panel model was established to explore the impact of financial support on forestry green total factors quantitative impact on productivity, and adding environmental regulation as a threshold variable to establish a dynamic threshold regression, and found that financial support has a nonlinear impact on forestry green total factor productivity.

The purpose of this paper is to test the relationship between environmental regulations and green total factor productivity (GTFP) of China's logistics industry. The high-factor input, high-energy consumption, and high-pollution emissions model of the logistics industry developed within China faces challenges from severe resource and environmental constraints. It is generally believed that environmental regulations effectively restrain pollution emissions and help protect the environment.

The authors employ the undesirable slack-based Malmquist Luenberger model to calculate the GTFP across the provincial logistics industry and use the mediation effect model and threshold effect model to explore the effects and mechanics of environmental transmission regulations on the GTFP.

The main results show significant regional differences in the GTFP of logistics industry across China. In the transmission path of the impact of environmental regulations on the GTFP, regional innovation capabilities have mediation effects. Regional innovation capacities have a masking effect on the transmission path of environmental regulations on accumulated technical efficiency changes (AEC) and accumulated technical changes (ATC). The threshold effect test results show a dual-threshold effect between environmental regulations and the GTFP, with environmental regulations as threshold variable. Furthermore, the impact of regional innovation capability on the GTFP has a dual-threshold effect, with environmental regulation as threshold variable.

First, it is advisable to plan the environmental regulation policy system thoroughly and add supporting measures to ensure the efficiency and smooth implementation of the nation's environmental policies. Second, it is important to further understand the critical role of innovation capability in improving the GTFP. Third, there is an urgent need to standardize the operating behavior and market order of the leading players in the logistics market and to improve the operational efficiency of logistics enterprises.

So far, a systematical study researched on effect of environmental regulation on the GTFP in logistics industry was not published. This study can provide experience for the high-quality development of the logistics industry.

Environmental regulation is in a continuous state of intense change and modification amid the long-term tensions between environmental protection and economic growth. In this article, the authors creatively investigate how fluctuations of environmental regulation influence a nation's economic growth while also examining the mediating effect of technological innovation.

Using sample data of 36 Organisation for Economic Co-operation and Development (OECD) countries from 2013 to 2018, environmental regulation is differentiated in two aspects of formal environmental regulation (FER) and informal environmental regulation (IER) and analyzed to assess the effects of regulatory fluctuations on investment and technological innovation.

The research results demonstrate that both FER fluctuation and IER fluctuation exert a significant negative impact on economic growth. These two fluctuations in environmental regulation increase uncertainty and unpredictable risks for corporations and investors, significantly stifling the willingness to contribute to innovation activities and leading to a diminished level of innovation. Technological innovation is revealed to have a mediating influence on the relationship of environmental regulation fluctuation to economic growth.

These findings enrich the research on the impact of environmental regulation from a dynamic, multinational perspective, contributing to the literature by exploring the relationships between environmental regulation fluctuation, technological innovation and economic growth at the OECD-country level.

China intends to enhance its environmental regulations, which will affect many industries, because of the serious environmental pollution that the country faces. This study aims to investigate the influence of environmental regulations on China’s provincial tourism competitiveness.

A vertical-and-horizontal scatter degree method is used to construct provincial-level tourism competitiveness and environmental regulation indices in China. Thereafter, a spatial econometric model is established to empirically assess the influence of environmental regulations on China’s provincial tourism competitiveness and investigate the spatial spillover effects of environmental regulations.

Environmental regulations and China’s provincial tourism competitiveness exhibit a “U”-shaped relationship, mainly because of the indirect effects of environmental regulations (spatial spillover effects). The environmental regulation indices of the majority of the provinces have crossed the turning point. Thus, improving environmental regulations has a positive effect on tourism competitiveness. This effect mainly originates from the positive spatial spillover effects.

Tourism development plays an important role in promoting economic growth. However, increasing environmental pollution may constrain the development of tourism. Therefore, the possible influence of environmental regulations on tourism development should be understood.

At present, no research has explored the influence of environmental regulations on China’s tourism competitiveness. The current study considers the nonlinear effects of environmental regulations and investigates their spatial spillover effects.

The role of environmental regulations in inducing innovation and improving performance has been studied in the literature. However, there have been no studies in the UK using statistical data. This paper aims to study the links among regulations, innovation and performance in the UK using sector level data.

The paper used structural equation modelling to study the links among the three variables simultaneously.

The analysis indicates that environmental regulations in the UK are significant in improving economic performance of the industrial sectors. They also find that, in the short run, environmental regulations negatively influence innovation, and innovation negatively influences economic performance in these sectors.

The results have implications both for policy makers and firms in the UK industrial sector. For policy makers, environmental regulations have generally improved economic performance. For firms, the study shows that sufficient planning in meeting government's environment standards can help improve their economic performance.

This is the first study in the UK to explore simultaneously the links among the three variables: environmental regulations, innovation, and performance, using secondary sector level data.