Environmental Regulations Research Articles

Green investment, environmental regulation, and environmental performance

Green investment, environmental regulation, and environmental performance

Biophysical factors, environmental regulations, and profit deviations: The case of salmon farming companies

Biophysical factors, environmental regulations, and profit deviations: The case of salmon farming companies

Incentive-based environmental regulations and rural migrant workers' settlement intention: Insights from China's green fiscal policy.

Incentive-based environmental regulations and rural migrant workers' settlement intention: Insights from China's green fiscal policy.

“Size-dependent” environmental regulations and spatial labor allocation

“Size-dependent” environmental regulations and spatial labor allocation

Discovering topics and trends in biosecurity law research: A machine learning approach.

Discovering topics and trends in biosecurity law research: A machine learning approach.

Unlocking Urban Ecological Resilience: The Dual Role of Environmental Regulation and Green Technology Innovation

Unlocking Urban Ecological Resilience: The Dual Role of Environmental Regulation and Green Technology Innovation

Do the relationships among policy stringency, corruption, and public size differ across country groups in the context of green transformation?

This study utilizes fuzzy-set qualitative comparative analysis (fsQCA) to explore the effects of critical economic and environmental factors on carbon intensity in 19 European countries from 1999 to 2020. The findings demonstrate a strong link between high carbon intensity, weak corruption control, and low research and development (R&D) expenditure, implying that corruption may intensify emissions by supporting carbon-heavy practices. Conversely, lower carbon intensity is associated with advanced financial development, suggesting a positive effect on reducing emissions, which contrasts with existing literature. Furthermore, effective corruption control and increased government revenue significantly mitigate carbon emissions by promoting investments in green initiatives. Other effective strategies identified include stringent environmental regulations, elevated environmental taxes, and enhanced R&D investment, all of which facilitate the adoption of carbon-neutral technologies. The results indicate that these structural relationships are statistically significant and affirm the hypothesis that robust corruption control, financial development, and R&D investment are vital for achieving reduced carbon intensity across Europe.

Towards net zero: Implications of environmental regulations on green finance

Towards net zero: Implications of environmental regulations on green finance

Seasonal variation and environmental regulation mechanisms of energy fluxes and energy allocation in dune and meadow ecosystems

Seasonal variation and environmental regulation mechanisms of energy fluxes and energy allocation in dune and meadow ecosystems

How does customer enterprise digitalization improve the green total factor productivity of state-owned suppliers: from the supply chain perspective

How does customer enterprise digitalization improve the green total factor productivity of state-owned suppliers: from the supply chain perspective

The impact of environmental regulation on green total factor productivity: Evidence from China's provincial level

The impact of environmental regulation on green total factor productivity: Evidence from China's provincial level

Synergistic pathways towards greening and digital transformations of Chinese primary energy producers: Reassessing the microeconomic effects of environmental regulation

Synergistic pathways towards greening and digital transformations of Chinese primary energy producers: Reassessing the microeconomic effects of environmental regulation

Impact of environmental regulation intensity and digital economy on regional environmental penalties

Impact of environmental regulation intensity and digital economy on regional environmental penalties

Does environmental regulations boost corporate sustainability? A perspective of environmental strategy.

Does environmental regulations boost corporate sustainability? A perspective of environmental strategy.

Corruption And Green Crime: The Role Of Local Authorities In Enabling Environmental Offences In India

Environmental degradation in India poses a grave threat to its ecological balance, public health, and sustainable development. While national policies and central agencies are crucial, the enforcement and implementation of environmental regulations often fall to local authorities. This research paper explores the intricate relationship between corruption and "green crime" in India, specifically focusing on how local authorities, through various acts of commission and omission, enable environmental offenses. It analyzes the systemic vulnerabilities at the local level that are exploited for personal gain, leading to widespread environmental damage, including illegal mining, deforestation, uncontrolled pollution, and improper waste management. Drawing upon existing literature, reports, and case studies, this paper identifies key mechanisms of corruption—such as bribery, cronyism, political interference, and bureaucratic inertia—that undermine environmental governance. Furthermore, it examines the challenges faced by local authorities in combating green crime, including lack of capacity, inadequate resources, and limited accountability. Finally, the paper proposes a multi-faceted approach to address this pervasive issue, emphasizing enhanced transparency, strengthened institutional frameworks, improved public participation, and robust accountability mechanisms to foster a more effective and ethical environmental governance system in India.

Glucosinolates in Cruciferous Vegetables: Genetic and Environmental Regulation, Metabolic Pathways, and Cancer-Preventive Mechanisms

We investigated the genetic and environmental variables determining the glucosinolate (GSL) content of cruciferous vegetables and the implications for cancer prevention. The enzyme myrosinase hydrolyzes GSLs, which are sulfur-containing chemicals found mostly in cruciferous vegetables, producing isothiocyanates (ITCs), which are physiologically active molecules. GSL breakdown products have considerable anti-carcinogenic, antioxidant, and anti-inflammatory capabilities, making them vital to human health. The review dives into genetic heterogeneity among cruciferous species, the importance of individual genes in GSL manufacturing, and breeding techniques for increasing GSL content. It also examines how environmental variables like soil type, pH, plant, nutrient availability, and temperature affect GSL levels. This report also covers the function of GSLs in plant defense, their bioavailability in humans, and their mechanisms in cancer prevention, emphasizing the chemicals’ potential for lowering cancer risk through cruciferous vegetable consumption. The findings highlight the necessity of optimizing both genetic and environmental variables required to increase the nutritional content and medicinal potential of cruciferous vegetables.

PROMOTING GREEN TRANSFORMATION OF INTELLIGENT MANUFACTURING ENTERPRISES: BASED ON ENVIRONMENTAL REGULATIONS, DIGITAL ECONOMY AND CAPITAL ALLOCATION EFFICIENCY

With the development of the digital economy and the guidance of environmental regulation, more and more companies are embarking on a green transition. Capital allocation is an important guarantee for the long-term development of enterprises, and efficient capital allocation can better help enterprises carry out green transformation. Therefore, this paper makes recommendations for the green transformation of companies by examining the relationship between environmental regulations, digital economy and capital allocation efficiencies. The listed enterprises of intelligent manufacturing in China are selected from 2015 to 2021 as a sample. The results show that environmental regulations inhibit capital allocation efficiencies, and the digital economy promotes them. For high-tech-capital enterprises, capital allocation efficiencies are more subject to the synergistic effect of environmental regulations and the digital economy. In contrast, environmental regulations exert a more inhibitory effect on capital allocation efficiencies of high-knowledge-capital enterprises. The influence of environmental regulations on capital allocation efficiencies is affected by the dual-threshold effect of the digital economy. In contrast, the single-threshold effect of environmental regulations influences that of the digital economy on capital allocation efficiencies. With the digital economy’s development, environmental regulations’ influence on enterprises’ capital allocation efficiencies shifts from an inhibitory effect to a promoting effect. The digital economy plays a critical role in improving capital allocation efficiencies and the inhibitory effects of environmental regulations. The government should consider the threshold effects of the digital economy and environmental regulations when developing strategies for greening business transformation. Furthermore, specific policies made for intelligent manufacturing enterprises with high-tech-capital factors are necessary to effectively counteract the inhibitory effects of environmental regulations on their allocation efficiencies.

Energy–Environment–Industry Intersection: Rural and Urban Inequity and Approach to Just Transition

The intersection of energy, environment, and industry presents distinct challenges and opportunities in rural and urban settings, highlighting disparities in access, impact, and policy effectiveness. This paper examines the systemic inequities between rural and urban regions in the transition to a sustainable energy future. It explores how policies and technologies can promote a just transition that ensures equitable economic development, environmental protection, and energy access for all communities. The key findings reveal that the average urban environmental pollution has transitioned from 10.1574 in 2007 to 8.9540 in 2022, indicating an improvement over time. From 2007 to 2022, the average level of rural environmental pollution has transitioned from 15.1123 in 2007 to 14.2675 in 2022, suggesting an improvement in performance over the specified timeframe. This shows that rural environmental pollution (14.8442) is more serious than urban environmental pollution (9.0892), even though rural environmental pollution is constantly improving. Regarding driving factors affecting urban and rural environmental pollution, we illustrate that energy consumption and environmental protection investment are important factors through which environmental regulation influences urban environmental pollution, while only environmental protection investment is an important factor through which environmental regulation influences rural environmental pollution. The findings suggest that only in the western region do stronger environmental regulations significantly reduce urban pollution, while strengthening environmental regulations improves rural pollution across all three regions, with the most pronounced effect in the west. By integrating quantitative and policy analysis, the study proposes inclusive strategies that balance economic resilience, social justice, and environmental sustainability, fostering a fair transition toward a low-carbon future.

Agent-based modelling to simulate land use and climate change adaptation in a contested, water-stressed region in southern Spain

Land-use is facing multi-dimensional challenges, among other things stemming from climate change and extreme weather events, taxing socio-economic and market conditions, changing societal and consumer trends, as well as complex subsidy regimes and environmental regulations. These combined challenges require land users to increasingly adapt their management strategies and decision-making routines. To test for potential effects of these challenges on patterns of land-use change requires models that incorporate systemic feedbacks between land users and their environmental, socio-economic and political framework conditions. To this end, we developed the agent-based model SECLAND-ABM, simulating land-use change resulting from decision-making processes of individual farm agents (i.e. agricultural holdings). The model enables to link biophysical and societal drivers of land-use change and, through subsequent (soft) coupling with biodiversity or ecosystem models (e.g., SDM, LDNDC), their effects on ecosystem change.The first model version was developed for the alpine LTSER Platform Eisenwurzen in Austria. The focus of the present study is to transfer the SECLAND-ABM to the LTSER Platform Doñana in southern Spain. The region represents a completely different environmental, agricultural and socio-economic context, comprising a unique and well-protected wetland ecosystem surrounded by a complex matrix of mostly intensive and mono-functional agriculture. The socio-ecological system is critically impacted by climate change as well as excessive anthropogenic land and water use, threatening local biodiversity and agricultural production.The transfer of agent-based models between study regions is rare and often constricted by the need for a broad range of quantitative and qualitative data, as well as by a lack of flexibility in adapting the model logic to new types of agents and their behaviors and interactions. Therefore, we further developed SECLAND-ABM to enable its transfer to other distinct study regions. This development represents a significant methodological innovation in the field and the present study provides a proof-of-concept generating critical insights for further progress.To implement model transfer we require different data sets spanning the natural and social science domains (i.e., geo-spatial, environmental, census and qualitative data), describing the local land system and its land users’ behaviors. Subsequently, we define model agents and their decision options congruent within this new context and create distinct scenario conditions to test for the effects of potential changes in the biophysical, socio-economic and political frameworks.This presentation aims to provide: a short description of the SECLAND-ABM and its main components, a brief overview of the LTSER Platform Doñana and its core challenges connected to land use and climate change, as well as a spotlight on the status-quo of model transfer, particularly related to the collection of input data, the specification of model agents and their decision options, and the definition of scenario conditions. a short description of the SECLAND-ABM and its main components, a brief overview of the LTSER Platform Doñana and its core challenges connected to land use and climate change, as well as a spotlight on the status-quo of model transfer, particularly related to the collection of input data, the specification of model agents and their decision options, and the definition of scenario conditions.

Environmental law's principles applied to artificial intelligence: a path towards regulation

ABSTRACT The proliferation of artificial intelligence (AI) technologies, particularly machine learning, has revolutionized various industries, offering unprecedented benefits in cost reduction and performance optimization. However, concerns regarding the environmental impact of AI have emerged alongside its rapid adoption. While current regulatory efforts primarily focus on addressing visible risks such as discrimination and cybersecurity, the environmental footprint of AI remains largely overlooked. The paper proposes a critical analysis of the European Artificial Act's provisions related to environmental sustainability, which appear to be largely insufficient. This article then explores the relevance of Environmental Law's principles to build the theoretical foundations and justifications for an environmental regulation of AI. This framework is based on some of the founding principles of environmental law: precaution, public participation, environmental accountability and access to justice. Applying these principles to AI development reveals the need for a precautionary approach to AI environmental regulation, to deploy systematic environmental impact assessment for AI products and services, to create a ‘sustainability by design’ culture in the AI sphere, and to establish compulsory transparency obligations for AI providers.