Carbon dioxide emissions and Chinese OFDI: From the perspective of carbon neutrality targets and environmental management of home country

Aggregation Behavior and Application Properties of Novel Glycosylamide Quaternary Ammonium Salts in Aqueous Solution

Amidation of lactobionic acid with N,N-dimethylaminopropyltriamine was conducted to obtain N-(3'-dimethylaminopropyl)-lactamido-3-aminopropane (DDLPD), which was quaternized with bromoalkanes of different carbon chain lengths to synthesize double-stranded lactosylamide quaternary ammonium salt N-[N'[3-(lactosylamide)]propyl-N'-alkyl] propyl-N,N-dimethyl-N-alkylammonium bromide (CnDDLPB, n = 8, 10, 12, 14, 16). The surface activity and the adsorption and aggregation behaviors of the surfactants were investigated via equilibrium surface tension, dynamic light scattering, and cryo-electron microscopy measurements in an aqueous solution. The application properties of the products in terms of wettability, emulsification, foam properties, antistatic, salt resistance, and bacteriostatic properties were tested. CnDDLPB exhibited a low equilibrium surface tension of 27.82 mN/m. With an increase in the carbon chain length, the critical micellar concentration of CnDDLPBD decreased. Cryo-electron microscopy revealed that all products except C8DDLPB formed stable monolayer, multi-layer, and multi-compartmental vesicle structures in an aqueous solution. C14DDLPB has the best emulsification performance on soybean oil, with a time of 16.6 min; C14DDLPB has good wetting and spreading properties on polytetrafluoroethylene (PTFE) when the length of carbon chain is from 8 to 14, and the contact angle can be lowered to 33°~40°; CnDDLPB has low foam, which is typical of low-foaming products; C8DDLPB and C10DDLPB both show good antistatic properties. C8DDLPB and C14DDLPB have good salt resistance, and C12DDLPB has the best antimicrobial property, with the inhibition rate of 99.29% and 95.28% for E. coli and Gluconococcus aureus, respectively, at a concentration of 350 ppm.

Navigating the nexus: Geopolitical risk, fossil energy prices, and European utility stock returns - Implications for environmental management and energy security in a conflict-ridden global landscape

This study employs a TPV-VAR analysis method to explore the linkage between GPR, fossil energy prices, and utility stock returns across 16 European countries from August 2009 to April 2023. Our findings reveal variations over time in how GPR influences the prices of fossil energy and utility stock returns. GPR significantly influences stock returns in the short term (1 month), with prolonged effects observed during major geopolitical incidents, while showing no significance in the medium (6 months) and long term (12 months). Further, the Russia-Ukraine War had a more pronounced impact on fossil energy prices and utility stock returns compared with the Arab Spring and Brexit. Finally, GPR shocks exhibit heterogeneous effects on different fossil energy types, with oil prices being more affected than coal and gas prices. Energy prices act as a channel through which GPR influences utility stock returns. This study elucidates the linkage between GPR, prices of fossil energy, and stock returns, offering valuable perspectives for governments and investment decision-makers into risk management.

Analysis of the spatial correlation pattern of logistics carbon emission efficiency and its influencing factors: the case of China

As logistics carbon emission efficiency is an essential industry linking regions, investigating this issue from a spatial correlation perspective is practically significant. Utilizing data from 282 prefecture-level cities spanning 2006 to 2019, we used a super slacks-based measure model, a modified gravity model, motif analysis, the Infomap algorithm, and an exponential random graph model to analyze the spatial correlation patterns and influencing factors of logistics carbon emission efficiency. The following conclusions were drawn. (1) The spatial correlation of logistics carbon emission efficiency during the study period exhibited a core-edge pattern, with the central region emerging as a high-correlation hub. (2) The scale of the spatial association network community of carbon emission efficiency in the logistics industry changed constantly, and the stability of the network community structure gradually increased. From a microstructural perspective, the dispersed-mode structure was a pivotal element in the formation of the spatial correlation network of logistics carbon emission efficiency. (3) Node interaction tendencies were a critical force driving network formation. Financial investment, government concern, international openness, population density, and innovation ability were conducive to the formation of spatial correlations of logistics carbon emission efficiency.

The carbon reduction effect of "Going Global" strategy: an empirical perspective on the carbon emission efficiency of OFDI in China

Under the constraints of the "dual-carbon" objectives, how China can sustain economic development while concurrently achieving carbon emission reduction has become a pressing issue. With the rapid expansion of China's outward foreign direct investment (OFDI), elucidating its impact on carbon emission efficiency (CEE) assumes pronounced significance. Employing the systematic generalized method of moments (GMM) approach, based on panel data spanning the years 2006 to 2019 for China, this study primarily delves into the influence of OFDI on China's CEE. Furthermore, it probes into the mechanisms and asymmetries underpinning the relationship between OFDI and CEE. The principal findings are as follows: (1) augmentation of OFDI exerts a constructive effect on domestic carbon emission reduction, concomitantly yielding a discernible enhancement in CEE. A 1% increase in the magnitude of OFDI flow gives rise to a 0.009% improvement in CEE. (2) Mechanism verification reveals that heightened levels of OFDI operate through elevating green total factor productivity (GTFP), fostering optimal industrial structural adjustments, and invigorating green technological innovation, thereby elevating the CEE of the home country. (3) Asymmetry characterizes the impact of OFDI on domestic CEE, signifying a significant enhancement in regions with lower CEE while exhibiting less conspicuous effects in areas with higher CEE. This study furnishes policymakers with insights into leveraging OFDI to enhance CEE, thereby facilitating the attainment of the "dual-carbon" objectives.

Assessing the environmental impacts of renewable energy sources: A case study on air pollution and carbon emissions in China

This study investigates the impact of renewable and non-renewable energy sources on carbon emissions in the context of China's 14th Five-Year Plan (2021-2025). The plan emphasises a "Dual-control" strategy of simultaneously setting energy consumption limits and reducing energy intensity for GDP (gross domestic product) in order to meet the targets of the five-year plan. Using a comprehensive dataset of Chinese energy and macroeconomic information spanning from 1990 to 2022, we conduct a Granger causality analysis to explore the relationship between energy sources and the level of air pollution. Our findings reveal a unidirectional link, wherein renewable energy contributes to a reduction in air pollution, while non-renewable energy sources lead to an increase. Despite the government's investment in renewable energy, our results show that China's economy remains heavily reliant on traditional energy sources (e.g., fossil fuels). This research is the first systematic examination of the interplay between energy usage and carbon emissions in the Chinese context. Our findings provide valuable insights for policy and market strategies aimed at promoting carbon neutrality and driving technological advancements in both government and industries.

The effect of geopolitical risk on carbon emissions: influence mechanisms and heterogeneity analyzed using evidence from China

To meet the goals of reducing adverse effects, continuing economic transformation, and achieving sustainable development, it is necessary to understand the impact mechanism and heterogeneous effects of geopolitical risk on carbon emissions. Using panel data from 30 provinces in China gathered between 2003 and 2019, we show that (1) geopolitical risk significantly contributes to the growth of carbon emissions, as does non-renewable energy consumption, trade, and economic growth, but that technological progress, industrial structure upgrading, and marketization inhibit the growth of carbon emissions; (2) geopolitical risk inhibits carbon emissions by suppressing non-renewable energy consumption and trade, and promoting technological progress; and (3) geopolitical risk has heterogeneous effects on carbon emissions in different quartiles. In the lower quartiles (i.e., groups with lower emission levels), geopolitical risk suppresses carbon emissions, while in higher quartiles (i.e., groups with higher emission levels), geopolitical risk promotes carbon emissions. As growing geopolitical risk and carbon emissions are now common problems for all countries, this study serves as a valuable reference not only for China, but for every member of the global community seeking to mitigate geopolitical risk shocks and achieve carbon emission reduction targets.

Changes in environmental performance with firm relocation and its influencing mechanism: An evidence of chemical industry in jiangsu, China

A micro firm relocation perspective plays important roles in deepening the understanding and knowledge on the environmental effects of industrial transfer and related mechanisms, however, such research and cases are currently scarce. Based on the building of both the database of firm relocation information and a conceptual framework of changes in environmental performance with firm relocation (ΔEP), involving factors of firm heterogeneity and changes in both locational conditions and whole-process pollution treatment paths, chemical firms in Jiangsu Province were selected to explore their ΔEP and related influencing mechanisms by the Wilcoxon signed-rank test of two paired samples and a binary logistic regression model in this study, respectively. Results showed that during 1998-2014, chemical firm relocation experienced a fluctuating growth trend with a continuous surge in inter-city relocation, accompanied by a deterioration in the environmental performance (EP) with a significant reduction of pollution removal intensity (p < 0.01) after firm relocation. Most firms relocated from Southern Jiangsu (72.5%) to places adjoining Jiangsu Province (58.5%), along the river and the coast (63.4%), and in the third- and fourth-tier cities (73.5%), respectively. As for these factors, the low development level of transfer-out (DTOR) and transfer-in region (DTIR) both resulted in the downgrading EP with firm relocation, but the inter-city relocation style (RS) and strict environmental regulation (ER) were the opposite. The benefits for upgrading EP after relocation conferred by the promotion of source-process treatment were limited by RS, DTOR, and DTIR. Among firms relocated to low DTIRs, the higher the firm competitiveness in terms of capital, technology, and environmental awareness, the greater the upgrading EP probability. When firms transferred to regions with stricter ER, the likelihood of improving EP increased more for those firms with weak competency. In a word, in order to prevent the pollution haven effect, superior governments should shrink regional differences in ER policies, whereas local governments in transfer-in regions should provide targeted and essential support in funding and technology according to the firm heterogeneity and fully consider actual conditions to make environmental measures in the future.

The role of OFDI in home-country pollution: insights from LMDI and 3SLS approaches

Under the global climate crisis, harnessing investment for sustainable development is a practical and effective measure for international society. Based on the logarithmic mean Divisia index (LMDI) decomposition and three-stage least squares (3SLS) structural approaches, this study explores the home-country pollution reduction effect of Chinese OFDI activities using the city-level panel data from 2007 to 2019. The findings of this study indicate that (1) China has made a remarkable achievement in PM2.5 pollution reduction and governance, especially from the year 2012. (2) The OFDI activities can significantly decrease the home-country PM_2.5 pollution. With every 1% increase in OFDI flows, the overall pollution level will decrease by 0.76%. (3) Compared with the scale mechanism, the technology and composition mechanism effects of OFDI flows are more evident in addressing the home-country PM_2.5 pollution. With several related policy implications, this study may fill the lacuna of how to play the role of OFDI activities in the home country, thus promoting sustainable development in the next stage.

Can outward foreign direct investment improve China's green economic efficiency?

Under the constraints of energy and environment, improving green economic efficiency (GEE) has become the key path to promote the sustainable economic development. Among the driving factors of GEE, the role of outward foreign direct investment (OFDI) is worth exploring. In this paper, we adopt the inter-provincial panel data of China from 2011 to 2019 and System Generalized Method of Moments (SYS-GMM) to explore the influence of OFDI on GEE. We find that OFDI significantly improves China's GEE, and reverse technology spillover through direct investment in developed countries is an important way for OFDI to promote GEE. Regional heterogeneity test shows that OFDI significantly promotes GEE in eastern China; however, the promotion effect is not significant in midwestern China. Besides, the promoting effect of OFDI on GEE has been further improved after 2016. We further adopt panel threshold model and find that when the financial development (FD) and human capital (HUM) exceeds 2.0954 and 0.0290, respectively, the promoting effects of OFDI on GEE are greatly enhanced. We suppose that the above conclusions can provide guidance for policymakers to optimize OFDI and improve GEE.

Spatial Zoning of Carbon Dioxide Emissions at the Intra-City Level: A Case Study of Nanjing, China

With ever-increasing urbanization and industrialization in developing countries, the challenge posed by carbon dioxide emissions (CDEs) has become a hot topic of concern in the realm of sustainable development from a socioeconomic perspective. However, previous studies have only been conducted at macro and meso scales, including at the global, country, and urban levels, and few researchers have delved into the territorial space of urban areas due to a lack of high-precision data. To address this deficiency, we established a theoretical framework to explore the spatial zoning of CDEs based on the newly emerging China high-resolution emission gridded data (CHRED). This study's innovativeness lies in its provision of a step-by-step process for spatial matching of CDEs based on CHRED in the framework and the construction of square layers to reveal spatial heterogeneity of CDEs at the intra-city level. Taking Nanjing City as the case study area, our findings indicated that CDEs intensity (CDEI) shows an inverted "U-shaped" trend that first increased and then decreased, and finally stabilized from the center to the periphery of the city. With further urbanization and industrialization, the energy consumption sector was found to be the largest contributor to CDEs in Nanjing, and the expanding carbon source zonings will therefore shrink the existing carbon sink zonings. Collectively, these results can provide a scientific reference point to realize China's "dual carbon" target from the perspective of spatial layout optimization.

Will bidirectional FDI impact industrial electricity efficiency in China?

Both "dual cycle" and "carbon neutral" policies have been implemented as national strategies in China. But will "dual cycle" policy help carbon neutral policy and how do "dual cycle" policy affect carbon neutral policy? This paper investigates whether unbalanced bidirectional foreign direct investment (FDI) hinders electricity efficiency. To do so, it uses the super slack-based version of the global Malmquist-Luenberger index to measure electricity efficiency in 30 provinces from 2001 to 2020. This paper uses panel threshold regression model, finds out that bidirectional FDI below 1.7174 will positively impact electricity efficiency, but the positive effects disappear when bidirectional FDI exceeds 1.7174. Thus, balanced bidirectional FDI in province is required to enhance electricity efficiency.

Provincial and regional analysis of carbon neutrality policy and the environmental Kuznets curve: examining their effect on CO2 emissions in China

China is making a challenging effort to achieve its ambitious goal of becoming carbon-neutral by 2060. Therefore, the Chinese government should develop effective policy tools to improve its carbon neutrality plan. Due to this importance, an empirical study is required to examine the comprehensive effect of the carbon neutrality policy on CO₂ emissions in China. Also, the role of economic development on the environment, the environmental Kuznets curve (EKC) hypothesis in the carbon neutrality-CO₂ emissions nexus, has yet to be examined. Considering this gap, the present study investigates the impacts of carbon neutrality policy and the economy on CO₂ emissions at China's provincial and regional levels from 2006 to 2017. We use a comprehensive approach to measure the carbon neutrality policy through the source control and sink increase perspectives. This study performs the panel-corrected standard errors (PCSE) and the feasible generalised least squares (FGLS) regression techniques to control the heteroscedasticity and cross-sectional correlation issues. The results show that an improvement in energy efficiency and renewable energy power generation decreases the per capita CO₂ emissions at the provincial level from the source control perspective. From the sink increase perspective, only green space development affects CO₂ emissions reduction; the development of carbon capture, utilisation, and storage (CCUS) does not. Also, this study shows that the EKC hypothesis holds true in China nationally and in the central region. Due to differing regional development patterns, the impact of carbon neutrality policy on CO₂ emissions varies across regions. This study suggests specific policy implications such as increasing R&D investment per unit of GDP to support CCUS technologies at provincial and regional levels.

The effects of ICT and FDI on CO2 emissions in China

With the rapid development of information and communication technology (ICT) and counter-cyclical expansion of foreign direct investment (FDI), most foreign-invested companies in China are highly polluting. Meanwhile, new research shows that the impact of ICT on the environment is uncertain. This study is an effort in dividing ICT into hardware and software, aiming to explore its effects on carbon (CO₂) emissions from 2003 to 2017 in 31 provinces, autonomous regions, and municipalities in China and further explore the impacts of its application to foreign-invested enterprises on environmental quality. The findings show that ICT software has a significant negative effect on CO₂ emissions, but ICT hardware and FDI have significant positive effects on CO₂ emissions. However, when ICT software and hardware are applied to foreign-invested enterprises, they can significantly improve the environmental quality. Moreover, the durative innovation of ICT software ensures environmental sustainability. A set of government measures are published to help stimulate the positive effect of ICT software on CO₂ emissions, such as taxes and fees cuts, and no-interest loans. This could provide guidelines for other countries.

Does the pollution halo hypothesis exist in this "better" world? The evidence from STIRPAT model

Multinational corporation has changed their host countries. The new wave of FDI inflow attracted the interest of policymakers. FDI has significant effects on both productivity and carbon dioxide emissions. The host countries should carefully consider the advantages and disadvantages of FDI to their nation. The previous literature has not illustrated the global context's theoretical halo or haven pollution hypothesis. Using panel data of 96 countries between 2004 and 2014, our empirical results confirm the haven pollution hypothesis in both developing and developed countries. We employ the different general methods of moments (GMMs) to engage FDI in traditional STIRPAT theoretical frameworks. The empirical results contribute to the evidence of the EKC theory. The country's income level has been used to modify our models. The affluence of the economy, urbanization, FDI, and industrial sector would cause harmful effects on carbon dioxin emissions globally. The paper implies the two models which can be used for both developed and developing countries. The policymaker can use both short-run and long-run elasticities from those models to implicate their country's FDI inflow strategy.

The carbon reduction effect of China's outward foreign direct investment for carbon neutrality target

Based on mainland China's provincial OFDI and carbon emissions data from 2003 to 2018, this paper applied a panel fixed-effects model and spatial econometric model to empirically test whether China's OFDI can be a powerful tool to achieve the "carbon neutrality" target. The empirical results indicate that China's OFDI significantly increases carbon emissions, but this effect has temporal and spatial differences. After incorporating spatial factors into the analysis, the impact of OFDI on carbon emissions differs when modelled by different spatial weight matrices. The green effect of OFDI has the problem of poor channels. It is impossible to achieve energy savings and emission reduction by promoting green technology innovation, improving the rationalization of the industrial structure or reducing energy consumption. The test results of the moderating effect indicate that the development of green finance can weaken the positive effect of OFDI on emissions.

The impact of renewable and non-renewable energy consumption on carbon emission intensity in China: Fresh evidence from novel dynamic ARDL simulations

Given the dire state of global warming, it is critical to investigate the elements that influence carbon emissions intensity and to precisely monitor progress in carbon emissions intensity growth in order to meet the aim of lowering CO2 emissions. This research explores the association among renewable energy and non-renewable energy consumption, the urban population, research and development expenditure, technological innovation, and carbon emissions intensity in China using annual time series data over the period 1990 to 2019. The Dynamic ARDL simulation technique was utilized to investigate the long-run and short-run correlations between renewable and non-renewable energy consumption and CEI. The results suggest that there is strong evidence of a long-run correlation between the variables. The findings indicate that in the long-run, renewable energy and non-renewable energy consumption, and research and development expenditure have a positive influence on CEI by 0.27%, 0.75%, and 0.21%, whereas the urban population has a negative influence by 2.31%, respectively. However, the urban population and technological innovation have positively affected the short-run CEI by 12.17% and 0.23%, respectively. Policies should focus on continuous investment in renewable energy sources, clean energy innovation, improving energy efficiency, forest restoration, and carbon neutrality initiatives to lessen the environmental extreme pressure associated with CO2 emissions.

Development of a framework of carbon accounting and management on the township level in China

The regional management on greenhouse gas (GHG) emissions is essential to the success of global carbon reduction. However, previous studies mostly focused on the city or country levels, while the management of GHG emissions on the township level has not been fully studied. This study proposed a framework of carbon management on the township level and developed a calculation tool for accounting GHG emissions. The case study of Lingshan Island, located in eastern China, was conducted through a site visit and interviews. A questionnaire survey was performed to collect data for carbon accounting. It is found that the island had a negative carbon emission of -1336 t CO₂e in 2020, which is mostly contributed from energy and electricity consumption. Due to the COVID-19 pandemic, the number of tourists decreased in 2020 and the carbon emission was 224 t CO₂e lower than in 2019. The proposed framework consists of five steps and requires the collaboration of the government, the locals, researchers and other stakeholders. The framework was validated through a focus group meeting and the suggestions on carbon management at township level were provided. This study paves a way of carbon accounting and management for the less urbanized regions.

Spatiotemporal dynamics of forest ecosystem carbon budget in Guizhou: customisation and application of the CBM-CFS3 model for China

BACKGROUND

Countries seeking to mitigate climate change through forests require suitable modelling approaches to predict carbon (C) budget dynamics in forests and their responses to disturbance and management. The Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) is a feasible and comprehensive tool for simulating forest C stock dynamics across broad levels, but discrepancies remain to be addressed in China. Taking Guizhou as the case study, we customised the CBM-CFS3 model according to China's context, including the modification of aboveground biomass C stock algorithm, addition of C budget accounting for bamboo forests, economic forests, and shrub forests, improvement of non-forest land belowground slow dead organic matter (DOM) pool initialisation, and other model settings.

RESULTS

The adequate linear relationship between the estimated and measured C densities (R² = 0.967, P < 0.0001, slope = 0.904) in the model validation demonstrated the high accuracy and reliability of our customised model. We further simulated the spatiotemporal dynamics of forest C stocks and disturbance impacts in Guizhou for the period 1990-2016 using our customised model. Results shows that the total ecosystem C stock and C density, and C stocks in biomass, litter, dead wood, and soil in Guizhou increased continuously and significantly, while the soil C density decreased over the whole period, which could be attributed to deforestation history and climate change. The total ecosystem C stock increased from 1220 Tg C in 1990 to 1684 Tg C in 2016 at a rate of 18 Tg C yr^-1, with significant enhancement in most areas, especially in the south and northwest. The total decrease in ecosystem C stock and C expenditure caused by disturbances reached 97.6 Tg C and 120.9 Tg C, respectively, but both represented significant decreasing trends owing to the decline of disturbed forest area during 1990-2016. Regeneration logging, deforestation for agriculture, and harvest logging caused the largest C stock decrease and C expenditure, while afforestation and natural expansion of forest contributed the largest increases in C stock.

CONCLUSIONS

The forests in Guizhou were a net carbon sink under large-scale afforestation throughout the study period; Our customised CBM-CFS3 model can serve as a more effective and accurate method for estimating forest C stock and disturbance impacts in China and further enlightens model customisation to other areas.

Environmental courts and foreign direct investments: evidence from China

As China's pollution problems worsen, environmental disputes are increasing rapidly. However, only 1% of environmental disputes can be resolved via judicial channels. Based on the establishment of environmental courts since 2007, we employ the multi-period DID approach to investigate the impact of environmental courts on foreign direct investments. We find that (1) compared with cities without environmental courts, FDI of cities with environmental courts would drop by 3.32% from the average, which is consistent with the pollution haven hypothesis. Besides, we verify the credibility of the conclusion through detailed endogeneity discussions, placebo tests, and robustness tests. (2) The negative effect of environmental courts on foreign direct investments is more salient in the east, regions with higher historical environmental investment, and regions with more serious local protectionism. (3) There are two channels. The greater risks of environmental litigation and stricter environmental public supervision brought by environmental courts would lead to additional environmental violation costs, thereby inhibiting foreign direct investments. Our findings provide new causal evidence for the pollution haven hypothesis from the perspective of intensive environmental justice.

Extended Warranty Strategy and Its Environment Impact of Remanufactured Supply Chain

To reduce environmental pollution, the government has issued relevant laws and regulations, and more and more enterprises engage in remanufacturing and recycling used products. Trade old for new and trade old for remanufactured have become marketing means to promote product recycling. The extended warranty service is used to promote the recycling of waste products. To design an optimal extended warranty service strategy and analyze its environment impact in a remanufactured supply chain, game theory is used to model the competitive relationship between a manufacturer and an E-commerce platform. Considering whether the E-commerce platform provides extended warranty service, four models are constructed, and the extended warranty service strategy and its environment impact can be analyzed. The results show that, when the level of substitutability between remanufactured and new products meets a certain rage, new or remanufactured products with extended warranty service strategy can increase the demand for new or remanufactured products, respectively. In the four models, the changing trends of manufacturer’s profit, E-commerce platform’s profit and supply chain’s profit, consumer surplus, environmental impact and social welfare are the same, but only the thresholds are different. From the perspectives of supply chain member, supply chain system, consumer, environment and society, the new and remanufactured products with extended warranty service strategy is the best choice.

The Contribution of Outward Foreign Direct Investment, Human Well-Being, and Technology toward a Sustainable Environment

This study evaluates the impact of outward foreign direct investment (OFDI), human well-being, and other macro indicators of the public sector on carbon footprint. Empirical analysis has been carried out for newly industrialized economies that span the period 1990–2017. We used augmented mean group and bootstrap panel causality techniques to cogitate the cross-sectional dependence and country-specific heterogeneity. Based on cross-country analysis, study results show that growing OFDI reduces carbon footprint efficiently in Mexico and Turkey, human well-being decreases emissions in the Philippines, and urbanization reduces emissions in China. Further, technology reduces emissions in Malaysia and Turkey, trade openness reduces emissions in China and Malaysia, and natural resource rents reduce emissions in Indonesia and Mexico. In the case of panel analysis, the moderating role of OFDI with human well-being is contributing toward a sustainable environment. Moreover, the moderation of OFDI and urbanization has an insignificant impact on CFP. Findings depict that interaction terms of OFDI with technology and trade openness have a positive association with the environment quality. Finally, OFDI and natural resources have positive moderation on CFP. This study contributes to the existing literature by suggesting policy implications for a sustainable environment.