Search Results (31)

The economy and environment still show complicated relationships, which have generated various and conflicting hypotheses. This study aims to propose a new perspective on the connection between economy and environment across 164 countries using an innovative clustering method, including Principal Components Analysis (PCA) and a machine learning approach. The outcome introduces three clusters of countries with similar economic and environmental characteristics. Cluster 1 constitutes countries with the highest levels of economic development and environmental quality. They include Luxembourg, Switzerland, Ireland, Norway, Singapore, the US, and Australia. Cluster 2 involves countries with less than the highest levels of economic development and environmental quality, covering the right side of the Environmental Kuznets Hypothesis (EKH) and the Pollution Halo Hypothesis (PHH-Halo). These include Qatar, Denmark, Iceland, The Netherlands, Austria, the UK, Germany, UAE, New Zealand, and Israel. Finally, the lowest development levels of economic and environmental development are apparent in the countries in Cluster 3, indicating the left side of the EKH and the Pollution Haven Hypothesis (PHH-Haven). This finding gathers the three hypotheses of EKH, PHH-Halo, and Haven in one unique framework of the economy–environment nexus. Full article

China has entered a period of high-quality development. As an important feature of high-quality development, green total factor productivity (GTFP) has attracted much attention. With the opening-up and economic globalization, the Yangtze River Delta, one of the strongest and most technological regions in China, has been attracting an increasing amount of foreign direct investment (FDI). This study investigates if FDI is conducive to GTFP under the constraints of specific resources and a specific environment, which has important practical significance for the utilization of FDI in the Yangtze River Delta and China. Through a literature review and sorting the current FDI in the Yangtze River Delta, the GTFP and its decomposition indicators of 27 cities from 2004 to 2019 are calculated based on their energy consumption and pollution. Using the fixed-effects model and threshold model of panel data, this study tests whether FDI promotes GTFP and whether a nonlinear impact of FDI on GTFP exists. It finds that (1) the GTFP of most cities in the Yangtze River Delta improved during the sample period, but their annual growth declined. Technology is the dominant factor affecting the growth of GTFP. (2) FDI in the Yangtze River Delta has increased, and the investment structure has improved, but the distribution among cities is uneven. (3) The scale and quality of FDI have a positive impact on GTFP, which supports the “Pollution Halo” hypothesis. Economics, education, networks, and trade openness can promote the growth of GTFP, while environmental regulation, government intervention, and industrialization have a negative impact. (4) The quality of FDI, economics, the industrial structure, the environmental regulation, and the internet are each a significant single threshold characteristic for the impact of FDI on GTFP. When one of these factors is lower than a certain threshold, FDI has less impact on GTFP. When one exceeds a certain threshold, FDI’s positive promotion effect on GTFP significantly improves. Based on the analysis, this study offers some suggestions. The government should improve the FDI selection mechanism based on realities, make appropriate environmental regulatory policies, strengthen the construction of networks, and improve the “Internet+” effect on productivity. Full article

The urgency of water remediation and the conversion of toxic pollutants into non-toxic compounds is increasingly crucial in our industrialized world. Heterogeneous catalysts based on metal nanoparticles, which are cost-effective, non-toxic, and readily available, have garnered significant attention in the market due to their unique catalytic properties. This study presents sol–gel-based hybrid silica matrices that encapsulate nickel, designed for the efficient reductive de-halogenation of tri-bromoacetic acid (TBAA), di-bromoacetic acid (DBAA), mono-bromoacetic acid (MBAA), tri-chloroacetic acid (TCAA), mono-chloroacetic acid (MCAA), and Chloroacetanilide (CAA). A detailed study of the product distribution from each halo-acetic acid (HAA) is presented. The study points out that other products are formed from Ni-catalyzed reduction reactions of HAAs, breaking the conventional rules of stepwise reduction mechanisms. The plausible mechanisms of the catalytic processes are discussed. Full article

Of the significant foreign investment by Japanese multinationals within South-East Asia, the Philippines is a key recipient and location for the establishment of subsidiaries. While foreign investment is thought to bring significant benefits to host nations, the Philippines is considered ecologically vulnerable with extensive pollution and environmental challenges. Within national contexts of this nature, debates ensue about manufacturing multinational enterprises using emerging markets or developing nations as pollution havens when their environmental regulations are less stringent than those of the home nation. This study adopts a case study approach to explore the behaviour of Japanese multinationals operating in the Philippines with respect to environmental regulations. The study’s findings indicate that the firms demonstrated environmental management practices at a level beyond requirements set by local laws and regulations, with supplementary benefits to the surrounding local communities. These results indicate that the Philippines’ environmental regulations could be strengthened or tightened up with little negative impact on the investment of Japanese manufacturing multinational enterprises. With scant research conducted at the organisational level, our research findings contribute to a multinational management perspective on pollution haven/halo research, providing an additional dimension alongside the macroeconomic and large-scale environmental effects. Full article

This research evaluates the determinants of pollution emissions, considering the human development index, international trade, renewable energy, and foreign direct investment (FDI) as explanatory variables. This study tests the relationship between trade intensity and FDI on carbon dioxide emissions, considering the arguments of the pollution haven hypothesis (PHH) versus halo pollution (HP). The econometric strategy applies panel data (fixed effects, random effects), a generalised linear model (Gamma), panel cointegration models such as FMOLS and DOLS, the ARDL panel model, and the panel quantile regressions to data from the G7 countries from 1990 to 2019. Before using econometric models, this investigation considers preliminary tests such as the panel unit root test (first and second generation) and the cointegration test. The econometric results show that human development decreased pollution emissions. In addition, renewable energy improves air quality and aims to reduce climate change. The inverted environmental Kuznets curve also supports the results when evaluating the relationship between the human development index and carbon dioxide emissions. Full article

Reducing anthropogenic volatile organic compounds (VOCs) is the most effective way to mitigate O₃ pollution, which has increased over the past decades in China. From 2012 to 2017, special stainless-steel cylinders were used to collect ambient air samples from the urban area of Beibei district, Chongqing. Three-step pre-concentration gas chromatography–mass spectrometry was used to detect the collected air samples. The composition, concentration, photochemical reactivity, and sources of VOCs in Beibei were analyzed. During the observation period, the annual average VOC concentration was 31.3 ppbv, which was at an intermediate range compared to other cities in China. Alkanes (36.8%) and aromatics (35.6%) were the most abundant VOC groups, followed by halo-hydrocarbons (14.4%) and alkenes (12.6%). The overall trend of seasonal distribution of VOC concentration was high in summer and autumn, and low in winter and spring, with a statistically significant difference between summer and winter concentrations. The ozone formation potential (OFP) showed that alkenes were the most active species, followed by aromatics and alkanes, and summer was the season with the highest OFP (131.6 ppbv). Three major emission sources were identified through principal component analysis (PCA), i.e., vehicle exhaust emissions (66.2%), fuel oil evaporation (24.8%), and industrial sources (9.0%). To ameliorate the air quality within the study area, concerted efforts should be directed towards curtailing traffic emissions and mitigating the release of alkenes, particularly emphasizing more stringent interventions during the summer season. Full article

Government policy is crucial to control air pollution, while industrial structure upgrading and green technology progress are needed to optimize air pollution control performance (APCP). Meanwhile, policy spillovers from one region to another affect the APCP. This study applied systems theory to explain the mechanisms that drive both environmental policy spillover and APCP. We evaluated the APCPs of 41 cities in the Yangtze River Delta region from 2006 to 2020 using a super-efficiency SBM-DEA model. We then analyzed the paths by which industry and technology drive APCP using a spatial Durbin model (SDM) and investigated heterogeneity across different regional governance groups. The effects generated by the regulatory spillover of air pollutants were decomposed into four subsystems: chain transmission effect, vibration effect, ripple effect, and halo effect. The results show the following: (1) Throughout the study period, the APCP of most of the regional governance groups in the Yangtze River Delta region showed a fluctuating trend with continuous improvement. The APCP was higher and more stable in the Zhejiang Province in the southeast, and lower and more drastic in the Jiangsu and Anhui Provinces in the north, and shows a significant positive spatial correlation. (2) Industrial structure upgrading and green technology progress had different impact paths on the APCP. Industrial structure upgrading had a significant indirect contribution to the APCP, but the direct effect was not significant. Green technology progress had a significant direct inhibitory effect and an indirect promoting effect on the APCP. (3) In the optimization path of the APCP, industrial structure upgrading played a more important role than green technology progress, but they did not reinforce each other’s enhancement of the APCP. (4) There was regional heterogeneity in the impacts of industry and technology on the APCP. The paths and actual effects of industry and technology on the APCP varied greatly among different regional governance groups. Full article

Natural rubber (NR) powder wastes contribute to the pollution of the environment and pose a risk to human health. Therefore, Escherichia coli AY1 and Aspergillus oryzae were used to degrade NR in the present investigation. The biodegradation was further confirmed using E. coli AY1 and A. oryzae’s ability to create biofilm, which grew on the surface of the NR. Additionally, the biodegraded NR was examined by scanning electron microscopy (SEM), attenuated total reflection–Fourier transform infrared (ATR–FTIR) spectroscopy, and gas chromatography–mass spectrometry (GC–MS). The highest weight loss (69%) of NR was detected (p < 0.05) after 210 d of incubation with the mixed microbial culture (E. coli AY1 + A. oryzae). In the SEM, the surface of the control treatment appeared uniform and normal, whereas the surface of the microbial treatment displayed an irregular shape, with apparent particle deformation and surface erosion. After biodegradation by E. coli AY1 and A. oryzae, the particle size range of the untreated NR dropped from (5.367–9.623 µm) to (2.55–6.549 µm). After treating NR with E. coli AY1 and A. oryzae, new bands appeared in the ATR–FTIR technique; others shifted down in the range of 3910–450 cm⁻¹, suggesting the existence of active groups belonging to alcohol, secondary amine, aromatic amine, conjugated anhydride, aldehyde, alkene, and halo compounds. On the other hand, the GC–MS profile reports a significant decline (p < 0.05) in the amount of hydrocarbons while simultaneously reporting a significant increase (p < 0.05) in the proportion of oxygenated, sulfurous, and nitrogenous compounds. These active groups are attributed to the antioxidant and antibacterial properties of biodegraded NR by a mixture of E. coli AY1 and A. oryzae, which rose 9-fold (p < 0.05) compared to untreated NR. Through the use of this research, we will be able to transform NR waste into a valuable product that possesses both antioxidant and antibacterial properties. Full article

By exploring feasible pathways for coordinating the ecological environment and economic development, this study investigated the impact of FDI in the producer service sector (SFDI) on green total factor productivity (GTFP) across 20 provinces from 2006 to 2019 in China. We employed a panel data regression model and found that SFDI significantly promotes China’s GTFP, verifying the existence of the “pollution halo” effects of SFDI in China, where GTFP is estimated by the global Malmquist–Luenberger productivity index based on the slack-based measure and directional distance function. We also employed mediating and moderating models to test the mechanism and found that SFDI can affect GTFP through competition, green innovation, and resource allocation mechanisms. Notably, the impact of SFDI on GTFP exhibits regional heterogeneity, with the strongest impact observed in the eastern region, followed by the western region, and the weakest in the central region. Further analysis reveals that the enhancement of environmental regulations and the level of factor marketization can amplify the influence of SFDI. Finally, we offer specific recommendations encompassing the enhancement of openness, improvement of factor markets, and strengthening of environmental regulations. Full article

The study examines the relationship between CO${}_2$ emissions, trade openness, GDP growth and foreign direct investment (FDI) in Romania. The research aims to provide empirical evidence for either the pollution haven hypothesis (PHH) or the pollution halo effect (PHE). The pollution haven hypothesis suggests that countries with weaker environmental regulations and lower environmental quality are more attractive to FDI, while the pollution halo effect posits that countries with high levels of environmental protection and quality can generate positive spillover effects for FDI. The findings suggest a significant relationship between CO${}_2$ emissions, GDP growth and FDI inflows, with GDP growth having a greater effect on FDI than CO${}_2$ emissions. GDP growth has a causal effect on CO${}_2$ emissions, while CO${}_2$ emissions have a causal effect on FDI. These findings have important policy implications, as they highlight the interplay between economic growth, environmental degradation, and foreign investment. Policies aimed at reducing emissions must be comprehensive and coordinated in order to achieve significant emissions reductions and strike a balance between economic growth and environmental protection. Full article

The literature on the impact of policy uncertainty on climate change has grown rapidly in recent years as policymakers and researchers have become increasingly concerned about the potential adverse effects of policy uncertainty on environmental sustainability. This study aims to investigate the impact of economic policy uncertainty (EPU), GDP per capita, renewable energy consumption (REC), and foreign direct investment (FDI) on environmental sustainability from the perspectives of the environmental Kuznets curve (EKC) and pollution halo/haven hypotheses. The research employs panel data analysis techniques, including panel corrected standard errors (PCSE) and generalized least squares (GLS), to analyze the data from a panel of 19 developed and developing countries from 2001 to 2019. The results reveal that EPU, GDP per capita, REC, and FDI significantly impact GHG emissions, contributing to climate change. The results of the study confirm a U-shaped EKC and pollution haven hypothesis in the selected economies. The findings of this study provide valuable insights for policymakers, as they highlight the need to consider the interplay between economic growth, foreign investment, and environmental policy in addressing climate change. The results also suggest that reducing policy uncertainty and promoting sustainable economic growth can mitigate the effects of climate change and ensure environmental sustainability. Full article

The emitted levels of CO₂ continue to be a striking topic. These emissions have been growing over the years, thus, making them a predicament to be reckoned with. Eradicating such a predicament has not been easy because finding an optimal determinant has not been achieved by scholars; however, foreign direct investment inflows are known to play a role in such varying instances. Therefore, to analyze the impact that such inflows have on CO₂ emissions, this study employs data from 41 African countries from 2005 to 2019 and aims to assess how foreign direct investment and other variables influence CO₂ emitted levels. Moreover, this study tests the validity of the pollution haven and halo hypotheses on the employed African countries as its two main objectives. After applying the pooled least squares, fixed and random effects models, and the generalized method of moments, the findings revealed that per the adopted African countries, the pollution haven and halo hypotheses do not hold; however, foreign direct investment inflows contribute to the rising and falling levels of CO₂ emissions. In addition, the financial structure and per capita GDP increase the African countries’ CO₂ emitted levels, while trade openness causes a reduction. Based on the aforementioned findings, this study recommends that the government, policy-makers, industries, and interested personnel of this study’s employed countries should: apply and execute policies, laws, and regulations that will deter or punish polluting foreign investment and encourage clean ones; since green finance is making waves but is not well established in most African countries, green financing systems should be initiated and implemented; establish preferential trading policies that will highlight an addition of value via clean technology; and practice carbon capture, usage, and storage. Full article

This paper revisited the link between intra-industry trade (IIT) between Portugal and Spain and Portuguese carbon dioxide (CO₂) emissions. The research also considers the effects of foreign direct investment (FDI) on CO₂ emissions, pondering the arguments of the pollution haven hypothesis and the halo hypothesis. As an econometric strategy, this investigation has applied panel data, namely a Pooled Mean Group of an Autoregressive Distributed Lag (ARDL) model and Panel Quantile Regression (PQR). The preliminary unit root tests indicated that IIT, Portuguese and Spanish renewable energy, and Portuguese FDI are integrated into the first differences and stationary with the second generation test (Pesaran methodology). In the next step, this study applied the multicollinearity test and cross-dependence between the variables. The variance inflation factor test demonstrated that FDI and IIT have no multicollinear problems. However, as expected, collinearity exists between Portuguese and Spanish renewable energy. Regarding the cross-sectional dependence test, this investigation concluded that the variables have a dependence between them. The cointegration test revealed that the variables are overall cointegrated. In the econometric results with the ARDL estimator, this investigation has found that IIT between Portugal and Spain is negatively correlated with Portuguese CO₂ emissions, showing that this type of trade encourages environmental improvements. However, the PQR demonstrates that there is an opposite relationship. According to this, Portuguese and Spanish renewable energy is negatively impacted by CO₂ emissions, revealing that renewable energy aims to decrease pollution. Finally, Portuguese FDI reduces CO₂ emissions, which is explained by product differentiation, innovation, and monopolistic competition. Full article

In this paper, panel data from nineteen key cities in the Sichuan–Chongqing urban agglomeration from 2003 to 2016 were used as the study sample. Using the stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, the effect of foreign direct investment (FDI) on particulate matter (PM_2.5) pollution and its action mechanism in the Sichuan–Chongqing urban agglomeration were considered for both socioeconomic and natural factors. The results showed that the “pollution halo” hypothesis of FDI in the Sichuan–Chongqing urban agglomeration has been supported. There are significant positive spatial spillover effects of PM_2.5 pollution in this urban agglomeration, and the introduction of FDI is conducive to alleviating PM_2.5 pollution in the urban agglomeration. Similar to the “inverted U” curve proposed by the environmental Kuznets curve (EKC) hypothesis, there was a significant “inverted U” curve relationship between PM_2.5 pollution and economic growth in the Sichuan–Chongqing urban agglomeration. However, there was a significant “U”-type curve relationship between the urbanization degree and the PM_2.5 concentration, which indicates that the current urbanization mode may aggravate the pollution degree of PM_2.5 in the urban agglomeration in the long term. Furthermore, the two natural factors of annual average temperature and annual precipitation play an important role in PM_2.5 pollution and spatial spillover effect in the Sichuan–Chongqing urban agglomeration. Economic development and rationalization of the industrial structure are the main ways by which FDI affects PM_2.5 pollution in the urban agglomeration. The research conclusions of this study can be of great practical significance to optimize the regional industrial layout, control PM_2.5 pollution, and establish a sustainable development policy system in the Sichuan–Chongqing urban agglomeration. Full article

In the context of continuing to promote the construction of an ecological civilization, it is of great significance to explore green development performance. However, most of the literature is based on a single perspective of level or efficiency, lacking a comprehensive examination of both. It is not scientific to explore how to promote green development only from a single perspective, which may be a new advancement by breaking the conventional thinking focusing only on level or efficiency. On this basis, we first established evaluation index systems of green development performance based on a theoretical framework. Furthermore, green development performance was measured with the entropy weight technique for order preference by similarity to ideal solution (TOPSIS) and super-EBM models, and finally, we analyzed the spatial and temporal evolution patterns of green development performance using the ESDA method and examined its influencing factors with a geographic detector (GD) and econometric models. The main results were as follows: (1) The trend of the green development level in the Yangtze River Economic Belt from 2004 to 2017 had an inverted “N” shape, while the overall average green development efficiency continuously increased. (2) In terms of spatial and temporal patterns, both the green development level and green development efficiency showed “high in the east and low in the west” spatial divergence characteristics. In terms of the spatial and temporal evolution pattern of the green development level, the L-L clusters were mainly distributed in the western region. However, for green development efficiency, the L-L clusters were mostly distributed around the H-H clusters. (3) The results of the influencing factor analysis indicated that industrial structure and people’s welfare are still important factors of the green development level. The improvement of green development efficiency was mainly driven by economic development, and the inhibiting effect of energy consumption is significant. In addition, the effect of opening up has not yet changed from a “pollution paradise” to a “pollution halo”. Full article