An empirical model on the impact of foreign direct investment on China's environmental pollution: analysis based on simultaneous equations

Analysis of the spatiotemporal evolution and influencing factors of green development level in the manufacturing industry

The manufacturing sector is the main battlefield of energy saving and carbon reduction in China, and vigorously promoting energy saving and carbon reduction in manufacturing and enhancing the green development level are the key links to support China's realization of the dual-carbon goal. The article adopts the SBM-GML model to measure the level of green development of the manufacturing industry in China. Based on this, it analyzes the spatio-temporal characteristics and the evolution law of the level of green development of the manufacturing industry by using the Dagum Gini Coefficient and Kernel Density Estimation. Using a spatial econometric model to explore the influencing factors of the level of green development of the manufacturing industry. The study finds that the green development level of the manufacturing industry has achieved remarkable results in recent years, but there are differences in the development level of each region. The regional differences in the level of green development of the manufacturing industry are significant. The optimization of manufacturing structure is a key factor influencing the level of green development of the manufacturing industry, and there is a positive spatial spillover effect of manufacturing structure optimization. However, The green development of the manufacturing industry shows a negative spatial spillover effect. The article proposes optimization paths based on the requirements of dual-carbon targets and regional characteristics, which is an important inspiration and reference for the green development level of the manufacturing industry in the world.

Does the environmental protection tax reduce environmental pollution? Evidence from a quasi-natural experiment in China

The environmental protection tax (EPT) is an important environmental policy in China. However, it remains unclear whether the EPT has reduced environmental pollution effectively since its implementation in 2018. Based on the panel data of 229 prefecture-level cities in China during 2015-2019 and the difference-in-differences (DID) model, this study empirically assesses the causal effect of the EPT on environmental pollution. It is found that the EPT has a significantly negative effect on industrial sulfur dioxide (SO2) and industrial soot (dust) emissions but has no significant impact on industrial wastewater emissions. The mechanism analysis reveals that the EPT has the tax enforcement effect and energy efficiency effect, that is, the EPT reduces pollution emissions through increasing actual tax burden and improving the efficiency of energy utilization. However, the innovation effect is weak, which is only effective in reducing industrial SO2 emissions. Finally, we compare how different types of cities responded to the EPT. The results show that the EPT has limited effect on environmental pollution in large cities and southern China.

Impact of Two-Way FDI on China's Environmental Quality: The Perspective of Environmentally Cleaner Production and End Treatment

While the rapid development of two-way foreign direct investment (FDI) has boosted China's economic growth, its impact on environmental quality is uncertain. Based on provincial panel data from China covering the period from 2002 to 2020, this paper proposes an environmental quality assessment index system for China from two aspects: environmentally cleaner production and environmental end treatment. The comprehensive environmental quality index (EQI), environmentally cleaner production index (EPI), and environmental end treatment index (ETI) were all measured, with the geographic information system tool and Dagum Gini coefficient used to analyse the indicators' differences using a system-generalised method-of-moments (SYS-GMM) estimation to study the impact of two-way FDI on environmental quality in various regions across China. The results demonstrate that during the sample period, inward FDI positively impacted environmental quality and cleaner production but had a negative impact on environmental end treatment. Outward FDI significantly promoted EQI, EPI, and ETI, and the interaction between inward FDI and outward FDI positively impacted environmental quality and environmentally cleaner production, while it negatively impacted environmental end treatment. This indicates that under two-way FDI, China's relationship with environmental quality has gradually evolved from 'pollution first and then treatment' to 'green development of cleaner production'.

Pollution heaven or pollution halo? Assessing the role of heterogeneous environmental regulation in the impact of foreign direct investment on green economic efficiency

As the main engine of the global economy, China has been attracting increasing foreign direct investment (FDI) since the 1980s. The frequent occurrence of pollution incidents by multinational companies and the continuous deterioration of the environment have prompted China to attach importance to environmental regulations and attempt to avoid the potential pollution heaven effect of FDI on green development. To assess the effectiveness of these environmental regulations, this paper investigates the moderating effect of environmental regulation, in particular, the heterogeneous environmental regulatory tools, on the relationship between FDI and green economic efficiency. In addition, the spatial performance of these moderating effects is examined through the spatial Durbin model (SDM), using China's provincial panel data from 2004 to 2018. The results show that environmental regulation has an overall positive moderating effect, exacerbating the pollution heaven effect of FDI on green economic efficiency. In the meantime, the moderating effects of heterogeneous environmental regulations are obviously different; i.e., command-and-control and public-participation-based environmental regulations have positive moderating effects, while market-based environmental regulation has a negative moderating effect. In addition, in terms of spatial performance, the market-based environmental regulation has a positive spillover effect, thereby promoting green economic efficiency in surrounding regions, which is contrary to command-and-control and public-participation-based environmental regulations. Based on the above findings, this paper makes some recommendations for policymakers.

Dwindling regional environmental pollution through industrial structure adjustment and higher education development

This paper uses Chinese provincial data from 2006 to 2021 as a sample period to study the relationship between higher education development, industrial structure adjustment, and environmental pollution. Conclusions were as follows: (1) the industry structure adjustment can reduce environmental pollution in Chinese regions except eastern, and the increase in the proportion of the tertiary industry will increase pollution emissions in the eastern region. (2) Although there is a negative correlation between higher education and environmental pollution in China, it is not significant. From different regions, the coefficients in the eastern are positive which means aggravated environmental pollution, and the coefficients in the central region are not significant, but higher education in the western region improves environmental pollution. (3) Urbanization has a significant moderating effect on the national and regional environmental pollution, but in the central and western regions, it is smaller than the eastern region; although environmental regulation has a certain inhibitory effect on environmental pollution, the coefficient in the eastern region is significantly positive, and there is a situation of "more pollution, more control." Further, the increase of foreign direct investment will aggravate environmental pollution; although the elasticity coefficient in the eastern region is negative, there is a trend of improving environmental pollution, but it is not significant. The study holds promising implications for the development of policies related to education, industry, and the environment. Through the research on the relationship between the three, exploring and improving the regional environmental pollution level from the perspective of higher education and industrial structure have important practical significance for the regional green development.

The effect of mandatory environmental regulation on green development efficiency: evidence from China

The existing literature finds that mandatory environmental regulation (MER) can significantly reduce environmental pollution. However, much less is known about how the implementation of MER affects green development efficiency (GDE). Based on the Air Pollution Control Action Plan which was enforced in 2013 in China's most developed regions as an exogenous shock, we find that first, MER has a significant negative effect on the improvement of GDE by reducing regional scale efficiency. Second, MER mainly reduces the GDE of cities with stronger regulation intensities and with larger economic volumes. Third, MER also has a negative impact on regional green total factor productivity by changing technical progress. We suggest that when implementing MER, governments should enhance regional and global cooperation, promote green technology, and use comprehensive policy tools to stimulate firms' green innovation.

China's industrial green development and its influencing factors under the background of carbon neutrality

To measure and analyze the evolution characteristics and influencing factors of China's industrial green development level is of great significance in achieving carbon neutrality goal. Based on the panel data from 2000 to 2018 of 30 provinces in China, this research uses the super slack-based measuring model and the Malmquist-Luenberger index to calculates China's industrial green total factor productivity and to describe its evolution characteristics using the kernel density function and moreover uses the Spatial Durbin model and the partial differential method to explores its main influencing factors. This study finds that China's overall industrial green development level is not high but shows an upward trend year by year; carbon emissions, fiscal decentralization, and urbanization are not conducive to improving the national industrial green development level, whereas economic development, foreign direct investment, industrial structure, and technological progress are positive contributors. At the same time, the level of economic development and technological progress have significant direct and spatial spillover effect. Our findings also provide some policy implications for improving China's industrial green development.

Role of financial inclusion and export diversification in determining green growth: evidence from SAARC economies

This study quantifies the impact of financial inclusion and export diversification in attaining the target of green growth for SAARC economies during the period 2000 to 2019. For the analysis purpose, this study employed second-generation econometric techniques that deal with heterogeneity and cross-sectional dependence issues. To this end, CUP-FM and CUP-BC are used to investigate the long-run dynamic equilibrium relationship among the variables of interest. The outcomes show that financial inclusion and institutional quality are eco-friendly variables and play a vital role in attaining green growth. In contrast, export diversification and FDI are inversely related with green growth in SAARC economies. Furthermore, a unidirectional causality running from financial inclusion to green growth and financial inclusion to export diversification is observed. On the basis of investigated outcomes, this research suggests essential policy recommendations to attain green growth.

Assessing the impact of oil and gas trading, foreign direct investment inflows, and economic growth on carbon emission for OPEC member countries

The exploration of oil and gas contributes to green-house-gas. While exploring countries ensures economic growth, their activities also contribute to environmental pollution through carbon emissions. The 13-member states of the Organization of the Petroleum Exporting Countries (OPEC) are the world's most important oil-producing and exporting countries. Since the safety of a country's oil and gas resources is related to the country's economic growth and environmental protection, this study aims at assessing the impact of oil and gas trading, foreign direct investment inflows, and economic growth on carbon emission for OPEC member countries. Using secondary data from 2000 to 2018, the authors utilized Stata and EViews statistical software for the empirical studies. The fully modified least squares (FMOLS) and the generalized methods of moments estimators were used for the multiple regression. The findings from the multiple regression analysis revealed a positive but statistically insignificant relationship between oil and gas export and carbon emissions. On the contrary, an inverse relationship that is statistically significant was found between foreign direct investment inflows and carbon emissions. Also, a positive and statistically significant relationship was found between economic growth and carbon emissions for OPEC member countries. The research findings contribute to previous literature on petroleum exploration activities and give clues to policy-makers and stakeholders in putting in measures to ensure economic growth while promoting environmental protection for OPEC member countries.

The cyclical impact of innovation in green and sustainable technologies on carbon dioxide emissions in OECD economies

This paper proposes a novel model for the cyclical and non-linear association between innovation in green and sustainable technologies and carbon dioxide (CO₂) emissions using foreign direct investment, gross domestic consumption, and renewable energy consumption as control variables for OECD economies. First, the findings validated the long-run cointegration among variables. Second, the significant long-term negative nexus between renewable energy consumption, positive shocks to innovation in green and sustainable technologies, and CO₂ emission was validated. Third, income per capita (GDP) and the negative shocks to innovation in green and sustainable technologies contributed to the CO₂ emissions. Based on these findings, this study offers some policy implications to mitigate CO₂ emissions.

The Effect of Monetary Policy and Private Investment on Green Finance: Evidence from Hungary

The objective of this study was to examine the effect of monetary policy and private investment on green finance in the case of Hungary. The study used an explanatory research design and a quantitative research approach. Quarterly secondary time series data over 8 years (2013–2020) were utilized. More specifically, the study used Johnson co-integration test and vector error correction model to investigate the long and short-run relationship among variables. The study’s findings imply that monetary policy, as measured by interest rates and the broad money supply, has a mixed effect on the level of green financing. Interest rates, in particular, have a negative and significant relationship with green finance in both the long and short run. However, a broad money supply has a positive but insignificant relationship with green finance in the long run. Private investment has a positive and significant relationship with green financing in both the long and short run. The study also used inward and outward foreign direct investment, and greenhouse gas as a control variable of the study. The study finding implies that inward foreign direct investment has a positive and significant relationship with green financing in both the long and short run. On the other hand, outward foreign direct investment and the level of greenhouse gas have a negative and significant relationship with green finance in both the long and short run. The study also discovered that over time series, disturbance in domestic private investment was the most determinant factor in forecast error variance of green financing. In addition, the result of document analysis shows that the majority of Hungarian credit institutions are dealing with their corporate strategy rather than their sustainability strategy. Hence, progressive approaches are needed from the credit institution to frame their strategy under the concept of sustainable development goals. The finding of this study will contribute to the existing literature on the study area, provide suggestions on green finance and green monetary policy approaches, provide implications on key stakeholders of green financing, as well as the experience of different economies. The study advises central banks, credit institutions, and regulatory authorities to consider both neoliberal and reformist approaches of green finance and green monetary policies in aid to increase green investment.

Do higher education research and development expenditures affect environmental sustainability? New evidence from Chinese provinces

Even though higher education R&D expenditures (HEEXP) are important determinants of economic growth that facilitate science, technology, new ideas, and innovation, yet its effect on environmental sustainability remains unexplored. This paper examines the nexus between HEEXP and carbon dioxide emissions (CO₂e), followed by control variables such as electricity consumption (EC), foreign direct investment (FDI), gross domestic product (GDP), and total population (TP) for the period 2000Q1-2019Q4. Data were evaluated using different tests, e.g., the cross-sectional dependence test, cross-sectionally augmented Dickey-Fuller unit root test, Westerlund error-correction-based panel cointegration test, mean group, augmented mean group, common correlated effects mean group, and Dumitrescu-Hurlin panel causality test. First, the results validated the cointegration association among HEEXP, EC, FDI, GDP, TP, and CO₂e. Second, the finding showed significant long-term negative nexus between HEEXP and CO₂e. Third, the findings indicated that electricity consumption, foreign direct investment, gross domestic product, and total population are the important factors that intensify the overall situation of CO₂e. Fourth, the results indicated that there exists bidirectional causality between EC and CO₂e; FDI and CO₂e; GDP and CO₂e; POP and CO₂e; and HEEXP and CO₂e. This paper's findings call for devising policies and strengthening financial support to induce higher education for developing green patents.

Research on Green Total Factor Productivity of Yangtze River Economic Belt Based on Environmental Regulation

With the acceleration of industrialization and urbanization, the Yangtze River Economic Belt (YREB) is facing many environmental problems that need to be solved in the process of development. This paper aims to analyze the environmental governance effects of nine provinces and two municipalities in the Yangtze River Economic Belt from 2009 to 2018. Firstly, based on the input-output index, the slacks-based measure (SBM) undesirable model and Malmquist (ML) index were used to measure the green total factor productivity (GTFP) of the YREB from 2009 to 2018. The results showed that the technological progress index contributed the most to the GTFP of the YREB, followed by the pure technical efficiency index and the scale efficiency index. Environmental regulation has no significant impact on the GTFP of the YREB. Secondly, by analyzing the effect of environmental governance in the YREB, the results show that the main reasons for the ineffective environmental governance in the YREB are the redundant input of environmental resources, excessive unwanted output, and low harmless treatment rate of municipal solid waste, rather than the low level of urban environmental management. Finally, this paper provides recommendations for the ineffective provinces and municipalities of the YREB to further optimize the input-output factors of environmental governance.

Does regional planning policy of Yangtze River Delta improve green technology innovation? Evidence from a quasi-natural experiment in China

Green technology innovation is an important way to solve the dilemma of economic growth and environmental protection, while the relevant policies issued by the government have an important impact on the promotion of regional green technology innovation. This paper regards the implementation of the Regional Planning of Yangtze River Delta (RPYRD) as a quasi-natural experiment, using the panel data of 274 cities in China from 2003 to 2016 to explore the green technology innovation effect of regional planning and its transmission mechanisms through the double-fixed effect model and the difference-in-difference (DID) method. The results show that (1) the implementation of the RPYRD promotes regional green technology innovation significantly and the green technology innovation effect of the policy is increasing year by year. (2) There is significant regional heterogeneity in the incentive effect of green technology innovation in regional planning. The policy effect is more obvious in cities with a larger scale, a higher level of human capital and less resource dependence. (3) The regional planning promotes green technological innovation by optimizing industrial structure, reducing FDI and increasing R&D investment.

The transfer mechanism of pollution industry in China under multi-factor combination model-based on the perspective of industry, location, and environment

With the development of industry transfer, the increasing attention of all government levels has been paid to the sustainable development of ecological environment. To highlight the effect of environmental factors on pollution industry transfer, a triangle model with various combination scenarios of industry, location, and environmental factors is adopted to empirically study the transfer mechanism of China's pollution industry according to the panel data of 30 provinces from 2000 to 2018. The obtained results indicate that (1) industrial advantage is the primary factor of improving the transfer of pollution industry in China; especially, the significance of location and environmental indicators is significantly lower than that of industrial indicators. (2) With the increasing promotion of regional coordination strategy and ecological civilization construction, the attraction of location factors to industry transfer is decreasing, and the inhibition of environmental factors to pollution industry is increasing. (3) In addition, it is worth noting that China's pollution industry has not been in "innovation highland" but "environmental depression," which indicates that the phenomenon of "pollution haven hypothesis" is probable in the industry transfer of China. The paper suggests that reasonable industry transfer should be adopted by all government levels to promote industrial transformation and upgrading with considering the environmental capacity.

Inward foreign direct investment, outward foreign direct investment, and carbon dioxide emission intensity-threshold regression analysis based on interprovincial panel data

Based on the panel data of 30 provinces (except for Tibet, Hong Kong, Macao, and Taiwan) in China from 2005 to 2016, a nonlinear threshold regression model and a carbon emission expansion models were constructed to empirically analyze the threshold effect of inward foreign direct investment (IFDI) and outward foreign direct investment (OFDI) on carbon dioxide emission intensity in China. The results show that (1) China's OFDI has increased carbon dioxide emission intensity while the IFDI has a significant inhibitory effect on carbon dioxide emission intensity. (2) The impact of the OFDI on carbon dioxide emission intensity gets influenced by the threshold effect of population size, economic development level, technology level, and environmental regulation. (3) The impact of the IFDI on carbon dioxide emission intensity also has threshold characteristics affected by population size, economic development level, and technological level. Hence, China should introduce more IFDI, optimize the structure of the OFDI, and exert its environmental improvement effect to satisfy the carbon emission reduction goal earlier.

Determinants of green growth in developed and developing countries

Considering the need for environmental sustainability while ensuring economic growth and development by 2030, this study uses data on 123 developed and developing countries to examine factors that influence green growth. The empirical results show that economic development positively influences green growth. However, trade openness is detrimental to green growth. Regarding energy-related factors, we find energy consumption negatively affecting green growth, but renewable energy consumption significantly improves green growth. In further analysis, we find that the influence of these factors differs between developed and developing countries. The result implies that countries at a different development level will require different strategies in achieving the Sustainable Development Goals in 2030. The results are robust to alternative identification strategies such as the System Generalised Method of Movement, which accounts for potential endogeneity.

Simultaneous Detection of Six Isoforms of Tau Protein in Human Cerebrospinal Fluid by Multidimensional Mass Spectrometry-Based Targeted Proteomics

Abnormal expression of Tau protein can cause the development of Alzheimer's disease (AD). So far, much evidence has demonstrated that Tau has multiple isoforms. These isoforms are suggested to have distinct physiological roles and contribute unequally to the progress of AD. Thus, detection of individual Tau isoforms may be helpful to better understand the link between clinical outcome and Tau status and to further improve AD diagnosis and treatment. However, few studies have been conducted on absolute quantification of Tau isoforms, probably due to high sequence homology and also low abundance of these isoforms in biofluids such as cerebrospinal fluid (CSF). Therefore, mass spectrometry-based targeted proteomics was attempted here. This targeted proteomics approach can principally measure a protein of interest at the surrogate peptide level, yet little has been done to detect protein isoforms, probably due to lack of isoform-specific surrogate peptides in mass spectrometry. In this study, separations in more dimensions were added, including immunoprecipitation (IP) and sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) for sample pretreatment and systems of linear equations for post-lab data extraction. Moreover, the reliability of the approach including IP enrichment, gel separation, and linear algebra algorithms was discussed. As a result, each isoform of Tau protein can be individually detected and quantified. Using IP enrichment, ∼250-fold enhancement of sensitivity was achieved. The ultimate LOQ was 0.50 nM. Finally, this multidimensional mass spectrometry-based targeted proteomics assay was validated and applied to simultaneous quantitative analysis of six Tau isoforms in CSF of AD patients.

Influence of FDI characteristics on high-quality development of China's economy

The report of the 19th National Congress of the Communist Party of China (CPC) stated: "We should focus on the construction of One Belt and one road, insist on introducing and going out, implement high-level trade and investment liberalization and facilitation policies, and promote the formation of a new pattern of the comprehensive opening." Foreign Direct Investment (FDI), as part of its opening-up, has a direct impact on the quality of China's economic development. This paper studies the impact of FDI quality on the economic development of the provinces in the 30 inland provinces of China, excluding Tibet, from 2007 to 2015. This paper does not find that comprehensive FDI quality has a significant impact on China's high-quality economic development. The further study sample is divided into three texts in the East and West, and found that the export capacity of the eastern provinces of FDI significantly promote high-quality economic development in the region; the technical level of the central provinces of FDI significantly promotes high-quality economic development in the region, but then the actual size of the FDI has a significant inhibitory effect on central provinces.

Tourism and sustainable development in China: a review

The adaption of the open-up reform policies in China some three decades ago has resulted in a rapid economic transformation of which the tourism sector has equally witnessed fast development. Therefore, the essence of this article is to review the evolution and expansion of the tourism industry in China and its obligation to observing international sustainable development policies and practices. Indications of the current policy regime, establishment, and institutions, sustainable development strategies to ensure continuity and availability of resources for future use, environmental sustainability laws and regulations, and promotional events for the development of the tourism industry are made available in this article. In effect, this article reviews how the activities of the tourism sector impacts on the environment. The findings show that China in its quest to be a world leader of tourists' destination has impacted negatively on the environment which by extension affect the economy and society at large. On the other hand, as a leading nation in the United Nations, China has in contemporary times adapted sustainable development strategies to help safeguard the environment. However, more needs to be done in the area of advanced technology and renewable energy.

The Impact of Foreign Direct Investment on Environmental Pollution in China: Corruption Matters

This research investigates the interaction effect between corruption and foreign direct investment (FDI) on environmental pollution by applying the spatial econometric model to the panel data of China’s 29 provinces from 1994 to 2015 and analyzes the differences between China’s eastern, central and western regions. Results show that (a) FDI inflow deteriorates the environmental quality, validating the pollution haven hypothesis (PHH); (b) by weakening the environmental standards, corruption enables the inflow of low-quality FDI, weakens the spillover effect of FDI and indirectly causes further environmental pollution; (c) the interaction effect between corruption and FDI on environmental pollution is less significant in the eastern region than in the central and western regions.

Driving patterns of industrial green transformation: A multiple regions case learning from China

A core issue for achieving successful industrial green transformation is to identify what driving factors under which kinds of synergistic combination methods with how strong driving strengths will lead to the superior driving patterns of green transformation. This paper focuses on the novel perspective of learning and mining historical cases of industrial green transformation in China's multiple regions, and a three-phase case learning theoretical framework of learning-validation-generalization based on rough set theory is constructed to identify the driving patterns from regional level. The extracted decision rules set reveals the potential synergistic relationships of different heterogeneous driving factors on industrial green transformation from the multiple paths of structure transformation and efficiency transformation. The results show that the key driving factors of structure transformation and efficiency transformation presents certain differences and obvious spatial effect. The higher resource allocation efficiency, stronger investment scale and lower resource endowment dominate the industrial green transformation's core features, which distinguish the superior driving patterns from the inferior, in China's eastern, central and western regions respectively. The driving patterns provide policy-makers extra insights to guide different regions to adjust and optimize their green transformation through developing the regional advantages and bypassing the insufficiencies in historical cases.