Probing the CSR-pro-environmental behavior linkage: Insights into green reputation and chief sustainability officer influence.

This study aims to examine the impacts of internal and external corporate social responsibility (CSR) on managers' pro-environmental behaviors with the mediating role of green reputation and moderating of chief sustainability officer (CSO). We acquired information from 609 managers working in various Chinese manufacturing firms using a standardized survey tool. Structural equation modelling (SEM) was performed to analyze data. Our major findings are as follows. First, both internal and external CSR influence the pro-environmental behaviors of managers through the mediation role of corporate green reputation. Second, the CSO significantly moderates the relationship between CSR actions and corporate green reputation. Our study contributes to the body of current knowledge by giving empirical evidence for the theoretical framework linking CSR, reputation, and pro-environmental behavior. The findings from this study offer managerial insights for businesses that deliberately want to promote environmentally friendly activities.

The asymmetric effect of global value chain on environmental quality: Implications for environmental management.

This study examines the dynamic relationship between global value chain integration, and carbon emissions, in 57 developing economies from 2000 to 2018. Our results show a multipart link between GVC involvement and carbon emissions. Specifically, forward participation, which involves domestic content in foreign exports, offers the potential to reduce emissions, whereas backward participation, defined by foreign content in domestic exports, typically increases emissions. This imbalance draws attention to the dual nature of using mineral resources, which can contribute to and mitigate environmental damage depending on the extent of GVC engagement. The NARDL model employed in the study also reveals the dynamic and nonlinear responses of carbon emissions to variations in the utilization of mineral resources within GVCs. Our findings show that positive shocks to mineral resources use within GVCs negatively influence carbon emissions, while adverse shocks have less impact. The results have significant policy implications, indicating that developing nations should prioritize environmental sustainability while planning their GVC participation. This entails promoting value-added mining resource use initiatives and pushing for strict environmental regulations in GVCs. Our results also highlight the significance of implementing customized measures to mitigate economic activity's asymmetric and nonlinear impacts on environmental quality. It enlightens policymakers in developing nations on balancing environmental conservation and economic growth in a global economy that is becoming more interconnected.

Developing environmental sustainability policy - How financing and subsidies are influencing green innovation in mineral extraction industries in China.

Mineral extraction is regarded as a pollution-intensive industry and is confronted with multiple environmental sustainability challenges. This issue poses an existential crisis for mineral extraction due to continued global pressure to adopt more sustainable practices in their functioning. Despite its importance, there is a notable gap in the literature regarding how these companies encounter financial challenges, particularly in the context of high-risk, long development cycles, and the unique double externalities associated with green innovation. This research, leveraging panel data from 2016 to 2023, aims to fill this gap by examining whether Chinese mineral extraction companies demonstrate distinct preferences for specific financing sources and by evaluating the role of government in facilitating their green innovation activities. Our findings indicate that such companies utilize a mix of internal and external financing to support their green innovation projects. It is observed that the influence of external finances channels, namely government subsidies, equity financing and debt financing, on green innovation progressively weakens, a conclusion supported by multiple robustness checks. Furthermore, the study highlights the crucial role of government subsidies in motivating publicly listed companies to enhance their green innovation activities through debt and equity financing, thereby contributing to a more equitable and sustainable development paradigm in the Global South.

Are natural resources a curse, a blessing, or a double-edged sword? Implications for environmental sustainability.

Natural resources have a significant impact on economic and political landscapes of developing countries which determines environmental sustainability. This study explores the convoluted connection between governance and natural resources, examining how resource abundance might influence governance quality. The main components of this dynamic that the theoretical framework considers are the Rentier effects, the repression effects, and the obstruction of modernization. This study creates a governance index applying principal component analysis (PCA) on several governance characteristics, such as political stability, rule of law, government efficacy, regulation and control of corruption, to measure governance comprehensively. Natural resource exports, rents, and the differentiation between renewable and non-renewable natural resources are the three proxies used to quantify natural resources, providing a more nuanced view. To calculate the effect of renewable and non-renewable natural resources on governance in developing nations, the econometric methodology uses a dynamic panel model and system GMM. This analysis reveals that the ability of renewable resources to promote inclusive development has a favourable impact on governance. On the other hand, non-renewable resources show a negative correlation, mainly because of their vulnerability to swings in the world price and their propensity to consolidate power and promote corruption. The significance of differentiating between natural resource types is highlighted in this study, along with the possible advantages of renewable resources for governance and the disadvantages of an over-reliance on non-renewable resources. Policymakers, researchers, and practitioners interested in the development and governance difficulties encountered by resource-rich developing nations can benefit greatly from this research's larger and more complex understanding of the link between natural resources and governance.

Reveal the inequality hidden in industry land use by integrating domestic trade and the industry efficiency.

Although industrial land accounts for a low percentage of the land surface, it can significantly affect the development of the economy and the environment. Unbalanced development makes industry efficiency differ vastly across China. Industry products embodied in domestic trade link the indirect use of industry inputs and outputs. Regional inequality needs to be more scientifically checked by comprehensively considering both trade and the efficiency, which may be determined by diverse indices. Accordingly, this study examined industrial land use among provinces and the efficiency, identified the embodied land, developed approaches to ascertain how industrial land use would change without domestic trade, and revealed the inequalities in industrial land by considering the trade. Results found that provinces along China's coastline usually have a highly industrialised area, and the developed regions usually have high efficiency. Guangdong, Henan, Jiangsu, Shanghai, Shandong, Liaoning, Anhui, Hebei, and Heilongjiang have high values in both industrial land serving external provinces and the reverse use in external provinces. Through domestic trade, China saved a total of 462 km2 of land to be converted into industrial land, which is mainly due to developed regions providing industrial land use to undeveloped regions with low efficiency. The inequality analysis shows that most provinces were in a moderate state. Heilongjiang, Gansu, and Guangxi have obvious disadvantages. Some suggestions have been made for harmonious industry development and enhanced efficiency, such as the implementation of efficiency and price-based land use policies, industry and energy structure optimisation, technological improvement, and appropriate compensation.

Carbon deficit checks in high resolution and compensation under regional inequity.

Carbon compensation is an effective way of reducing carbon emissions. However, previous studies in this field have been limited and have not examined high-precision scientific carbon compensation under regional inequity. The present study examined initial carbon compensation in the grid and developed a new equitable carbon compensation model. Additionally, it modified the carbon compensation value for each province and analysed how land-use change affected carbon compensation. The results show that, after the modification, the entire carbon deficit reached 17.34 × 108 t C in 2015, representing a decrease of 14% compared with the initial carbon deficit. The area with negative carbon deficit values accounted for 36% of the whole area, concentrated mainly in the south, southwest and northwest. Without modification, the initial carbon compensation reached 537 × 108 USD, and only Yunnan, Sichuan and Hainan provinces being eligible to receive compensation. The final modified carbon compensation was approximately 20% of the initial values, and 11 provinces were eligible to obtain compensation. The other provinces responsible for paying the carbon compensation costs were typically concentrated in Central and Eastern China. Land-use changes in 2015 led to increases in the initial carbon compensation and modified carbon compensation of 3.74 × 108 and 0.13 × 108 USD, respectively. The per-unit land-use change caused greater increases in carbon emissions in China's big cities and the provinces in Central and East China. Some policies, such as macro-control by the central government, diversified forms and patterns of compensation, and auxiliary measures should be formulated/proposed.

The driving factors of corporate carbon emissions: an application of the LASSO model with survey data.

Corporate carbon performance is a key driver of achieving corporate sustainability. The identification of factors that influence corporate carbon emissions is fundamental to promoting carbon performance. Based on the carbon disclosure project (CDP) database, we integrate the least absolute shrinkage and selection operator (LASSO) regression model and the fixed effects model to identify the determinants of carbon emissions. Furthermore, we rank determining factors according to their importance. We find that Capx enters the models under all carbon contexts. For Scope 1 and Scope 2, financial-level factors play a greater role. For Scope 3, corporate internal incentive policies and emission reduction behaviors are important. Different from absolute carbon emissions, for relative carbon emissions, the financial-level factors' debt-paying ability is a vital reference indicator for the impact of corporate carbon emissions.