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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.

This study aims to propose a novel framework for barriers to circularity within cooperative supply chains. The barriers in the adoption and implementation of circular economy principles are examined within a framework.

Fuzzy best-worst method is used to calculate the weights of barriers and identify the prioritization of barriers to circularity within cooperative supply chain.

“Insufficient implementation of circular economy laws” was found as the most important barrier, followed by “Lack of information”, “Ineffective recycling policies”, “Lack of awareness for circular economy”, “Remanufacturing is a labor-intensive procedure”, “Inconsistent price policies in sources and products”, “Lack of environmental management system”, “Cost of implementation for green activities” and “Lack of R&D capability” barriers, respectively.

The number of participant professionals limits the conclusions of the study and reaching more general conclusions. A comprehensive research can be conducted by the participation of a greater number of professionals.

Several studies analyzed the barriers to circularity; however, to the best of the authors' knowledge, no study has been taken an approach for barriers to circularity for cooperatives or cooperative supply chains.

The study aims to examine the impacts of management practices on innovation along with the mediating and moderating role of degree of competition, business environment and environmental policies.

Data were derived from the World Bank Enterprise Survey 2019 for Greece, Italy, Turkey, Portugal and Jordan and analyzed by using PLS-SEM to find results.

Findings revealed that management practices have positive significant relationship with the innovation among firms for Greece, Turkey, Portugal and Jordan but surprisingly insignificant relationship in Italy. Further, management practices have positive significant relationship with the environmental policies, business environment and degree of competition among firms in Greece, Italy, Turkey, Portugal and Jordan. In addition, environmental policies, business environment and degree of competition have positive significant relationship with innovation among firms in Greece, Italy, Turkey, Portugal and Jordan.

These useful insights would enable practitioners and policy makers to develop and apply more influential management practices to boost up the level of innovation among firms.

Although the topics of management practices and innovation have received a great concern of academia, but this is the first study that offers a comprehensive model of the relationship in these domains.

This study aims to analyze the socio-ecological policy trade-off caused by technological innovations in the post-COVID-19 era. The study outcomes are utilized to design a comprehensive policy framework for attaining sustainable development goals (SDGs).

Study is done for 100 countries over 1991–2019. Second-generation estimation method is used. Innovation is measured by total factor productivity, environmental quality is measured by carbon dioxide (CO₂) emissions and social dimension is captured by unemployment.

Innovation–CO₂ emissions association is found to be inverted U-shaped and innovation–unemployment association is found to be U-shaped.

The study outcomes show the conflicting impact of technological innovation leading to policy trade-off. This dual impact of innovation is considered during policy recommendation.

The policy framework recommended in the study shows a way to address the objectives of SDG 8, 9 and 13 during post-COVID-19 period.

Policy recommendations in the study show a way to internalize the negative social externality exerted by innovation.

This study contributes to the literature by considering the policy trade-off caused by innovation and recommending an SDG-oriented policy framework for the post-COVID-19 era.

The purpose of this paper is to provide a feasible scheme for local governments to regulate corporate environmental data fraud and to discuss whether the influence of the construction of online information disclosure platform on the environmental behavior of enterprises is better than the offline spot check.

Under the background of changing environmental fees into taxes in China, this paper conducts evolutionary game analysis between local governments and enterprises in view of the existing problem of environmental data fraud. Furthermore, through the introduction of government information disclosure platform, this paper discusses the impact of the integration of direct government regulation and indirect public concern regulation on the evolution of environmental behavior of both sides. Finally, the evolutionary game is simulated by adopting system dynamics to analyses the implementation effect of different cases on the game process and game equilibrium.

The results showed that the introduction of information disclosure platform mechanism can effectively suppress the fluctuations existing in the game play and stabilize the game. Moreover, it is worth noting that the regulatory effect of local governments investing part of the monitoring cost in the construction of online information platform is proved to be better than that of putting all the monitoring cost into offline investigation. While optimizing the monitoring cost allocation, the local government still needs to attach great importance to organically combine the attention of the public and media with the governmental official platform.

The obtained results confirm that the proposed model can assist local government in refining the effects of their environmental regulatory decisions, especially in the case of corporate data fraud under environmental tax enforcement.

Previous literature only suggested that local governments should reduce the cost of supervision to change the corporate behavior to a better direction, but no further in-depth study. Thus, this study fills the gap by discussing the positive transformation effect of local government cost allocation scheme on corporate environmental behavior.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

Trade of environmentally sensitive goods (ESGs) is often exposed to countries with less stringent regulations suggesting that those countries have comparative advantage in the polluting sector. The Group of Twenty (G20) members are among the highest polluters, globally. Different stringency policies are enacted time to time in G20 to control environment pollution. However, the impact of policy stringency on export performance of ESGs is seldom examined. The paper aims to address some of the issues concerning this matter.

The present study aims to address the short run and long-run association between Revealed Comparative Advantage of ESGs and Environmental Policy Stringency Index for the period of 1990–2019 in G20. Periodic fluctuations and time adjustment mechanism are also studied. Second Generation Panel Cointegration, Vector Error Correction, Impulse Response Function and Variance Decomposition methods are employed to address the objectives.

Result is evident that more exposure to stringent environmental regulations reduces the comparative advantage of ESGs in the long run. But there is no evidence of the short-run relationship between the variables. The possible reason could be that new regulations enacted prove fruitful in the long run.

The novelty of the study is to focus on inter linkages between stringency and global export competitiveness in G20, almost nonexistent in the past studies. The study also provides a road map to policymakers to find out potential ways for sustainable development by balancing environmental stringency measures and international trade.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2022-0560

There is no conclusive whether environmental regulation is a constraint or an incentive to the production development. The purpose of this paper is to analyze the non-linear effects of environmental regulations on economic outcomes from the combined perspective of labor productivity and environmental regulation costs.

Under the assumption of maximizing the utility of residents and maximizing the profit of firms, this research introduces a mathematical model that incorporates the promotion effect of environmental regulations on labor productivity and the costs of environmental regulations. On this basis, the authors analyze the non-linear relationship between environmental regulations and economic outcomes theoretically. This paper also conducts an empirical test using the panel data of 28 provinces in China from 1998 to 2015 through threshold regression.

Theoretical analysis shows that environmental regulations impose both the environmental regulation cost effect and the compensation effect on the labor productivity enhancement. The ultimate impact of environmental regulation on economic outcomes depends on the comparison of these two effects. Under the different intensities of environmental regulation, the magnitude of these two effects may not be equal. The empirical results further confirm the nonlinear relationship between environmental regulations and economic outcomes.

Previous studies have neglected the role of environmental regulations in improving labor productivity. This work’s main contribution is to propose a novel framework to study the non-linear relationship between environmental regulation and the growth of economic outcomes from perspective of labor productivity and the costs of environmental regulations.