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International Journal of Environmental Research and Public Health, Volume 20; https://doi.org/10.3390/ijerph20042831

Abstract:
Economic growth target (EGT) has become an essential tool for macroeconomic administration all around the world. This study examines the effect and mechanisms of EGT on environmental pollution (EP) by using economic growth target data from provincial Government Work Reports in China from 2003–2019. The conclusions denote that EGT significantly aggravates regional EP, and it still stands after robustness tests and instrumental variable (IV) estimation. The result of mediating effect shows that EGT aggravates EP mainly from three ways: investment surge, technological innovation, and resource allocation. The result of the moderating effect shows that government’s fiscal space positively adjusts the effect of EGT on EP, while environmental regulation negatively adjusts the effect of EGT on EP. The heterogeneity test reflects that the effect of EGT on EP is more significant on provinces that adopt a “hard constraint” setting method and fulfill EGT. Our study provides a reference to better balance the link between EGT and sustainable development for the government department.
International Journal of Environmental Research and Public Health, Volume 20; https://doi.org/10.3390/ijerph20032316

Abstract:
With the rapid development of China’s economy, the process of industrialization and urbanization is accelerating, and environmental pollution is becoming more and more serious. The urban agglomerations (UAs) are the fastest growing economy and are also areas with serious air pollution. Based on the monthly mean PM2.5 concentration data of 20 UAs in China from 2015 to 2019, the spatiotemporal distribution characteristics of PM2.5 were analyzed in UAs. The effects of natural and social factors on PM2.5 concentrations in 20 UAs were quantified using the geographic detector. The results showed that (1) most UAs in China showed the most severe pollution in winter and the least in summer. Seasonal differences were most significant in the Central Henan and Central Shanxi UAs. However, the PM2.5 was highest in March in the central Yunnan UA, and the Harbin-Changchun and mid-southern Liaoning UAs had the highest PM2.5 in October. (2) The highest PM2.5 concentrations were located in northern China, with an overall decreasing trend of pollution. Among them, the Beijing-Tianjin-Hebei, central Shanxi, central Henan, and Shandong Peninsula UAs had the highest concentrations of PM2.5. Although most of the UAs had severe pollution in winter, the central Yunnan, Beibu Gulf, and the West Coast of the Strait UAs had lower PM2.5 concentrations in winter. These areas are mountainous, have high temperatures, and are subject to land and sea breezes, which makes the pollutants more conducive to diffusion. (3) In most UAs, socioeconomic factors such as social electricity consumption, car ownership, and the use of foreign investment are the main factors affecting PM2.5 concentration. However, PM2.5 in Beijing-Tianjin-Hebei and the middle and lower reaches of the Yangtze River are chiefly influenced by natural factors such as temperature and precipitation.
Junxia Zhang, Pingyan Li, Farzana Fatima Liza, Fayyaz Ahmad, Cuixi Lv, Zijian Cao
Published: 20 January 2023
Frontiers in Environmental Science, Volume 10; https://doi.org/10.3389/fenvs.2022.1066122

Abstract:
There is growing concern about carbon emissions as the economy grows, which is of great importance to the implementation of the green Belt and Road Initiative (BRI) development strategy. Using panel data of 282 prefecture-level cities in China from 2006–2020 and the difference-in-differences method, this paper empirically examines the effects of the BRI on carbon emissions. Both theoretical and empirical analyses indicate that the BRI can significantly reduce the carbon emission level of cities along the routes, but the impact varies in different regions and cities. The mechanism analysis shows that the BRI reduces the carbon emission level of the Belt and Road cities through the economic agglomeration effect and industrial structure effect. Therefore, China should vigorously promote green Belt and Road construction, implement a regional integration strategy, and promote the transformation and upgrading of the industrial structure. These findings have a certain reference value for the follow-up implementation of the BRI.
Metin Ilbasmış, Mücahit Çitil, Furkan Demirtas, Muhammad Ali, , Mohammad Mohsin
Published: 18 January 2023
Abstract:
A large part of the energy supply required for production in the world consists of non-renewable energy sources such as coal, oil, and natural gas. Due to the serious increases in these energy sources in the world, countries facing the threat of climate change and increasing global warming have had to direct their energy policies to reduce carbon emissions. In this respect, promoting and increasing renewable energy, known as clean, green energy, and environmentally friendly, is an important factor in reducing carbon emissions in nature. In this context, in this study, the effect of green investment on air quality for two country groups was examined. As a result of the analysis, it was determined that the results differed both for the country groups and for the short and long term.
Huanhuan Wei, Yating Zhou
Frontiers in Business, Economics and Management, Volume 6, pp 17-21; https://doi.org/10.54097/fbem.v6i3.3111

Abstract:
In recent years, with the further development of economic internationalization, the scale of foreign direct investment continues to expand, and the pace of free flow of global funds is further accelerating. At the same time, FDI has also had many positive effects on the host country, including leading scientific and technological level and leading enterprise management skills. However, at the same time, the impact of foreign direct investment on China's economic development environment has attracted more and more attention. The "pollution paradise" hypothesis points out that foreign direct investment has a serious impact on the natural environment of the host country, while the "pollution halo" hypothesis points out that foreign direct investment has also produced a certain improvement effect on the natural environment of the host country. Based on some data of Hebei Province from 2010 to 2020, this thesis selects FDI, the proportion of tertiary industry and trade openness in Hebei Province as explanatory variables, and selects the intensity of environmental pollution in Hebei Province as explanatory variables. Then through three research methods, the first is literature research, data analysis and empirical analysis. Through the above research methods, this thesis analyzes the impact of FDI on environmental pollution, summarizes and finds that FDI can improve environmental pollution in Hebei Province, and finally puts forward some feasible suggestions.
Published: 30 November 2022
by MDPI
Journal: Sustainability
Sustainability, Volume 14; https://doi.org/10.3390/su142316032

Abstract:
Environmental issues are fundamentally problems of development mode and life style. Meanwhile, the digital economy is an important means of optimizing the economic structure and achieving high-quality economic development, thereby changing the way of production and life, which can improve the aforementioned environmental challenges. Therefore, this research investigates how the digital economy can bring new ideas for reducing pollution in depth. Based on panel data from 285 prefecture-level cities in China, this paper examines the impact of the digital economy on PM2.5. We construct the evaluation system of China’s digital economy development from the three aspects of digital penetration, digital human resources, and digital output. We use the digital economy comprehensive index with digital financial inclusion index as the main component to test the robustness. The results show that the increase of the digital economy reduces PM2.5 emissions in Chinese cities. In addition, we also explore technological innovation as a mediating channel for the digital economy to influence PM2.5 emissions. The digital economy provides a better research environment for technological innovation, conducive to improving cleaner production technology and products. Finally, we find that environmental information disclosure can enhance the impact of the digital economy on PM2.5 emissions.
Xiaodong Ji, , Wei Shao
Published: 28 November 2022
Frontiers in Environmental Science, Volume 10; https://doi.org/10.3389/fenvs.2022.1037162

Abstract:
Financial resource allocation comprises the efficiency of credit resource allocation and the savings-investment transformation rate. Based on the two aspects, the relationships between the efficiency of financial resource allocation and green economic development are empirically tested using China’s panel data from 2000 to 2019 within the spatial Durbin model. The empirical results show that the efficiency of credit resource allocation in China is low, and the flow of credit resources causes a siphon effect. At the same time, the existing savings stock does not form a real credit resource. The empirical results of regional tests show that the allocation efficiency of credit resources in the eastern region is low, and negative externalities exist. The allocation efficiency of credit resources in the central and western regions has a driving effect on the development of the green economy in the region, but there also exist negative externalities. There are positive externalities in the conversion rate of savings and investment. The findings of this study indicate that China is still driving the development of the green economy through the expansion of the total financial scale. The economic benefits of improving the efficiency of financial resource allocation have not been proven.
Haifeng Pang, Zongren Du
Published: 15 November 2022
by SPIE
Abstract:
This paper takes IFDI and OFDI as a whole through the coupling function to calculate the coordinated development level of two-way FDI. Based on the data from 2003 to 2019, a spatial Dubin model was constructed, and then a mediating effect model was added to further analysis to explore the impress of harmonious development of two-way FDI on China's carbon intensity. The results show that the harmonious development of two-way FDI inhibits the regional carbon intensity, and shows a reverse spatial spillover impress on the carbon intensity of surrounding provinces, especially the indirect effect caused by spatial and geographical factors. Further research finds that the overall level of local innovation can reinforce the inhibitory influence of FDI on carbon emission intensity, but in geographic space, it can increase the carbon emission intensity of surrounding provinces.
, Mustafa Necati Çoban
International Journal of Management Economics and Business; https://doi.org/10.17130/ijmeb.1143139

Abstract:
Sanayi Devrimi ile başlayan süreç ve sonrasında çevresel sürdürülebilirliği tehdit eden gelişmeler ile beraber küresel olarak çevresel bozulma süreci hızlanmıştır. Çevresel bozulma sürecinin özellikle küresel ısınma ve iklim değişikliği ile beraber dünya çapında etkilerini hissettirmesi, çevresel bozulmanın belirleyicilerine yönelik araştırmaların sayısının artmasını sağlamıştır. Bu çalışmada, doğrudan yabancı yatırımlar, ekonomik büyüme ve ekonomik küreselleşmenin çevreye asimetrik etkisi ve kirlilik hale hipotezinin geçerliliği Türkiye için araştırılmıştır. Bu amaç için, 1970-2018 arasındaki yıllık veriler kullanılarak doğrusal olmayan ARDL yöntemi ile analizler gerçekleştirilmiştir. Analizler sonucunda (1) doğrudan yabancı yatırımlardaki artışların (azalışların) uzun dönemde ekolojik ayak izini azalttığı (arttırdığı) ve dolayısıyla kirlilik hale hipotezinin geçerli olduğu; (2) ekonomik büyümedeki artışların (azalışların) sadece uzun (kısa) dönemde ekolojik ayak izi üzerinde etkili olduğu; (3) ekonomik küreselleşmedeki azalışların ekolojik ayak üzerinde sadece uzun dönemde etkili olduğu belirlenmiştir. Bu sonuçlar doğrultusunda politika yapıcılara, çevreye olumlu etkileri olduğundan dolayı daha fazla doğrudan yabancı yatırımları Türkiye’ye çekebilecek ve ekonomik büyüme ile ekonomik küreselleşmenin artırılması süreçlerinde daha çevreci politikalar izlemeleri önerilmektedir.
, Yutong Yao
Published: 26 October 2022
Abstract:
We examine the effects of anti-corruption efforts on local environmental pollution in China. Using data for China from 2003 to 2017, we find that anti-corruption efforts contribute to reduce local environmental pollution. Second, we show the two possible channels through which the anti-corruption efforts reduce local environmental pollution: political connection effects and deterrent effects. Finally, our results show that the effects of anti-corruption efforts on local environmental pollution are stronger in cities located south of the ‘Qin ling Mountains-Huai he River’, in cities with stronger government and public concern for the environment. Our main results pass a series of robustness tests. Overall, we offer novel evidence that anti-corruption efforts contribute to improving environmental quality.
Jingrong Tan, , Xu Liu, Chaojun Gong
Published: 13 October 2022
Abstract:
To achieve the goals of clean production and green development, pilot projects for green industrial transformation (PPGIT) to reduce the environmental pollution emissions from regional enterprises in China have been ongoing for more than five years. This study analyzes 283 prefecture-level cities from 2006 to 2019 using the propensity score matching difference-in-differences (PSM-DID) analysis framework to determine the effects of PPGIT policy implementation. The impacts of PPGIT policy on different pollutants are significantly negative, with the most reductions occurring for sulfur dioxide (SO2) emissions and the least for particulate matter (PM2.5) emissions. Furthermore, the effects of implementing the PPGIT policy from region to region, with the greatest policy effects of PPGIT in the eastern region. Based on the mechanism effects in different regions, the implementation of PPGIT policy nationwide significantly reduces pollution emissions through the technology effect and structure effect and in different regions, the PPGIT policies reduces emissions through different mechanisms. Overall, this study makes a unified evaluation of the environmental governance practices occurring during China's industrial green transformation process. The results of this study are of great significance for promoting the modernization of environmental governance capacity and improving the construction of an ecological civilization through China’s green development.
, John Kwaku Amoh, Barbara Deladem Mensah
Published: 13 September 2022
Environmental Science and Pollution Research, Volume 30, pp 11861-11872; https://doi.org/10.1007/s11356-022-22909-w

The publisher has not yet granted permission to display this abstract.
Quanfeng Jin, Weiwei Wang, Wenxia Zheng, John L. Innes, Guangyu Wang, Futao Guo
Published: 1 September 2022
Journal of Environmental Management, Volume 318; https://doi.org/10.1016/j.jenvman.2022.115499

Jiameng Yuan, Huimin Cui, Hongguang Wang, Weiguo Sun
Published: 20 July 2022
Discrete Dynamics in Nature and Society, Volume 2022, pp 1-15; https://doi.org/10.1155/2022/1368067

Abstract:
This study selected relevant data of China from 2006 to 2019 and adopted a panel vector autoregression (PVAR) model to conduct an empirical analysis on the dynamic mechanism of a series of problems including “FDI (foreign direct investment), economic scale, and environmental pollution,” “FDI, industrial structure, and environmental pollution,” and “FDI, production technology, and environmental pollution.” Our research results showed that there are differences in the optimal lag order under different conditions, such as under the action mechanism of economic scale and industrial structure, and the optimal lag order was 1, while under the action mechanism of production technology, its value was 2. FDI had a long-term effect on the environment; under the dual-action mechanism of economic scale and industrial structure, the environmental effect of FDI reached the maximum within 2 periods, the effect lasted a relatively long time, and the response of environmental pollution to the technological level reached the maximum between the fourth period and the sixth period. In terms of the overall situation in China, the FDI did not produce an obvious effect on environmental pollution; on the contrary, it exhibited a trend of environmental improvement, which varied with the action mechanism and the region; and also, the improvement of technological level can also significantly improve the quality of environment.
Mingyue Du, Qingjie Zhou, , Feifei Li
Published: 19 July 2022
Frontiers in Psychology, Volume 13; https://doi.org/10.3389/fpsyg.2022.929125

Abstract:
Green technology innovation is an effective way through which to achieve carbon neutrality and sustainable development. Based on provincial panel data of 30 provinces in China from 2005 to 2018, this work examines the tripartite relationship among green technology innovation, resource misallocation, and carbon emission performance by constructing panel regression models and a dynamic threshold panel model. The research results show that green technology innovation significantly improves carbon emission performance. Further analysis shows that both capital and labour misallocation have a negative impact on carbon emission performance and hinder the contribution of green technology innovation to the improvement of carbon emission performance. The regression results show that there is a threshold effect of green technology innovation on carbon emission performance: as the degree of resource misallocation increases, the positive impact of green technology innovation on carbon emission performance gradually decreases. This study provides an important reference for policy-makers in implementing policies to improve carbon emission performance. Policy-makers should continue to promote the level of green technology innovation and improve the efficiency of labour and capital allocation.
, Huike Wang
Environmental Science and Pollution Research, Volume 29, pp 87692-87705; https://doi.org/10.1007/s11356-022-21940-1

The publisher has not yet granted permission to display this abstract.
Published: 6 July 2022
by MDPI
Journal: Sustainability
Sustainability, Volume 14; https://doi.org/10.3390/su14148253

Abstract:
Air pollution, particularly SO2 emission, has become a global problem, seriously threatening the sustainable development and health of mankind. Based on the panel data of 248 prefecture-level cities in China during 2003–2018, this study used the Propensity Score Matching-Difference in Difference (PSM-DID) method within the counterfactual framework to evaluate the treatment effect of the policy made by the National Resource-Based Economic Transformation Comprehensive Supporting Reform Pilot Zone (CRZ) on sulfur dioxide (SO2) emissions. The results show the following. (1) The benchmark regression results demonstrate that the CRZ policy has significantly decreased per capita SO2 emissions (PCSO2) and SO2 emissions per unit of GDP (PGSO2) in the pilot zone, and the placebo test indicates that the evaluation of the policy effect is robust. (2) The dynamic effect test indicates that there is a lag in the effect of the CRZ policy on reducing SO2 emissions. The policy effect of the CRZ policy on PCSO2 and PGSO2 was not obvious in the first stage (2011–2015), the CRZ policy significantly reduced the PCSO2 and PGSO2 in the second stage of policy implementation (2016 and beyond), and the reduction effect of CRZ policy on SO2 emissions is increasing over time. (3) The mechanism analysis shows that optimizing industrial structure, increasing human capital, strengthening technological innovation, and expanding opening to the outside world are the main ways for the CRZ policy to reduce SO2 emissions. The study will help promote SO2 emissions reduction in Shanxi Province, providing a reference for the transformation and development of other resource-based cities in China and the world and contributing to accelerating the achievement of regional emission reduction targets and sustainable development.
Published: 9 June 2022
by MDPI
Journal: Energies
Energies, Volume 15; https://doi.org/10.3390/en15124249

Abstract:
The impact of average wages on electricity consumption among urban residents in China has generated many fascinating debates for scholarly research, but only a few studies have considered the spatial spillover effect of average wages on residential electricity consumption. With the use of city-level panel data from 278 Chinese cities spanning 2005 to 2016, this preliminary study explores the impacts of the average wage on residential electricity consumption. Specifically, based on the spatial Durbin model with fixed effects, three different spatial weight matrices (the economic distance, the inverse distance, and the four nearest neighbours) are utilised to check the robustness of the results under different standards. The results show that the residential electricity consumption of each city increased during the observation period, presenting obvious spatial correlations. Secondly, the average wage of residents had a positive spatial spillover effect, which promoted the residential electricity consumption of both local and surrounding cities. Thirdly, the population density, electricity intensity, educational level of urban residents, and per capita household liquefied petroleum gas consumption in urban areas are key factors influencing residential electricity consumption. Therefore, improving the educational level of urban residents and reducing the electricity intensity can help reduce electricity consumption by residents in China. This paper also presents policy recommendations.
International Journal of Environmental Research and Public Health, Volume 19; https://doi.org/10.3390/ijerph19116833

Abstract:
As a typical basin area in China, the Pearl River-Xijiang River Economic Belt (PRXREB) faces multiple types of environmental problems caused by the different development conditions of basins. To identify the situations of environmental pollution in the PRXREB, this paper constructed the Environment Pollution Composite Index (EPCI) by using four environmental pollutant emission indicators based on the entropy weight method, and explored the spatial effects and driving factors of environmental pollution by using the Spatial Error Model (SEM). The results showed that: (1) EPCI of the PRXREB decreased significantly from 2012 to 2016, and the spatial patterns were relatively stable. Wherein, the midstream and downstream were always the critical areas of environmental pollution. (2) Spatial spillover effects were significant in the PRXREB, which revealed that the local environmental pollution degree was affected by adjacent areas. (3) Industrial structure, infrastructure construction, and regulatory measures were the main driving factors of environmental pollution in the PRXREB. (4) To balance economic development and environmental protection in basin areas, environmental regulations such as environmental access, pollution payment, and cross-border early warning should be jointly established.
Published: 12 May 2022
by MDPI
Isprs International Journal of Geo-Information, Volume 11; https://doi.org/10.3390/ijgi11050309

Abstract:
Spatial autocorrelation describes the interdependent relationship between the realizations or observations of a variable that is distributed across a geographical landscape, which may be divided into different units/areas according to natural or political boundaries. Researchers of Geographical Information Science (GIS) always consider spatial autocorrelation. However, spatial autocorrelation research covers a wide range of disciplines, not only GIS, but spatial econometrics, ecology, biology, etc. Since spatial autocorrelation relates to multiple disciplines, it is difficult gain a wide breadth of knowledge on all its applications, which is very important for beginners to start their research as well as for experienced scholars to consider new perspectives in their works. Scientometric analyses are conducted in this paper to achieve this end. Specifically, we employ scientometrc indicators and scientometric network mapping techniques to discover influential journals, countries, institutions, and research communities; key topics and papers; and research development and trends. The conclusions are: (1) journals categorized into ecological and biological domains constitute the majority of TOP journals;(2) northern American countries, European countries, Australia, Brazil, and China contribute the most to spatial autocorrelation-related research; (3) eleven research communities consisting of three geographical communities and eight communities of other domains were detected; (4) hot topics include spatial autocorrelation analysis for molecular data, biodiversity, spatial heterogeneity, and variability, and problems that have emerged in the rapid development of China; and (5) spatial statistics-based approaches and more intensive problem-oriented applications are, and still will be, the trend of spatial autocorrelation-related research. We also refine the results from a geographer’s perspective at the end of this paper.
Magdalene Williams, , Mehmet Aga
Published: 30 April 2022
Journal: Sage Open
Abstract:
This study was carried out to analyze the impact of ecological footprint (EFP), exchange rate (EXC) and bio-capacity (BC) on foreign direct investment (FDI) in South Africa. The study was based on monthly time series data from 1996 to 2017. Asymmetric dynamic multiplier, Linear and Nonlinear Autoregressive distributed lag models were used to establish the relationship between the selected variables. Linear ARDL reveal significant symmetric relationship between FDI, ecological footprint, biocapacity and exchange rate in the short run. Nonlinear Autoregressive distributed lag (NARDL) bounds test confirmed the existence of cointegration between the variables. The non-linear short-run results reveal that positive shock of EXC affect FDI negatively. While positive shock from EFP has a significant and positive effect on FDI. Interestingly, in the long run the negative shock of EXC on FDI is negative while the positive shock of EXC affects FDI positively. Furthermore, the long-run asymmetric dynamic multiplier showed that the cumulative positive and negative effect of EFP and BC on FDI is positive. Hence, it is important that policies be put in place to ensure environmental sustainability and stable exchange rate while growing the South African economy. Policy regulations on production procedures in South Africa should be established to encourage advanced clean technologies in FDI production sectors
Lingjun Guo,
Published: 1 April 2022
Journal: Sage Open
Abstract:
This paper explored the effects of urbanization and industrial structure change in contemporary China using the data of 26 cities in the Yangtze River Delta (YRD) between 2006 and 2017. We analyzed the spatial characteristics of the regional economic growth by calculating the Global Moran’s I and the Local Moran’s I. We investigated the relationship between urbanization, industrial structure upgrade, and economic growth through a spatial econometric approach and tested the panel thresholds. Our findings included: (1) spatial autocorrelation is an important driver of urbanization and industrial structure upgrade; (2) the upgrade of the industrial structure leads to a structural economic deceleration which slows down the regional economic growth in the YRD; however, the positive effect of industrial structure upgrade on the regional economic growth still exists; (3) a synergy effect of New-type Urbanization and industrial structural upgrade positively affects the economic growth in the YRD; (4) the empirical results indicate that only when urbanization and industrial structural upgrade develop coordinately, will they play better roles in promoting the economic growth.
, Bin Li, Anwar Saeed Ahmed Qahtan, Alnoah Abdulsalam, Abdullah Aloqab, Waleed Obadi
Environmental Science and Pollution Research, Volume 29, pp 54571-54595; https://doi.org/10.1007/s11356-022-19384-8

The publisher has not yet granted permission to display this abstract.
Lulu Wang, Leyi Chen,
Published: 22 February 2022
Environmental Science and Pollution Research, Volume 29, pp 48539-48557; https://doi.org/10.1007/s11356-022-19182-2

The publisher has not yet granted permission to display this abstract.
Journal of Environmental Planning and Management pp 1-35; https://doi.org/10.1080/09640568.2021.2008883

Abstract:
This study aims to unravel the environmental effects of institutional quality in relationship with China’s Foreign Direct Investment (FDI) in Belt and Road Initiative (BRI) countries. The empirical analysis is conducted over the period 2003–2018, using the System-GMM approach with the Windmeijer finite-sample correction. We infer that China’s FDI has a detrimental effect on environmental quality, which validates the ‘pollution haven hypothesis’ in the BRI region. Importantly, the interaction effect of China’s FDI with indicators of institutional quality yields negative and significant results. This entails that strong institutions can boost the quality of the environment through FDI attractiveness. In further assessment, the threshold levels of institutional quality are calculated, beyond which China’s FDI can reduce carbon emissions in the BRI region. This substantiates both the pollution haven and pollution halo hypotheses. The study underscores the importance of institutional reform in the quest for sustainable development, owing to the fact that most economies prioritize FDI-led growth strategies.
, Xingyu Wang, Ge Bao, Huijuan Xiao
Published: 13 January 2022
Journal: Earth's Future
Earth's Future, Volume 10; https://doi.org/10.1029/2021ef002331

The publisher has not yet granted permission to display this abstract.
International Journal of Environmental Research and Public Health, Volume 19; https://doi.org/10.3390/ijerph19020837

Abstract:
This paper uses the relevant data of China’s listed companies from 2010 to 2018 to test the impact of overseas investment on corporate environmental protection and further examines whether the heterogeneity of the company and the heterogeneity of the host country changes this effect. The research results show that the environmental protection of overseas investment companies is significantly higher than that of other companies. The impact of overseas investment on corporate environmental protection is dynamic, and it only helps improve corporate environmental protection after three years of investment. This article is conducive to causally identifying the logical relationship between overseas investment and corporate environmental protection. The policy significance is that the government can rationally guide companies to invest abroad, and oversea investment will help enhance corporate environmental protection.
Kan Zhou, Jianxiong Wu, , Hanchu Liu
Published: 8 January 2022
Chinese Geographical Science, Volume 32, pp 31-48; https://doi.org/10.1007/s11769-022-1257-5

The publisher has not yet granted permission to display this abstract.
International Journal of Environmental Research and Public Health, Volume 19; https://doi.org/10.3390/ijerph19010607

Abstract:
The influence of the social environment on healthy investment behavior is a vital research topic. This paper focuses on foreign direct investment (FDI) as an important part of its broad impact in improving the level of capital circulation and diversifying the non-systemic risk of a single country portfolio. Using data from 35 countries on direct investment in China, we find that the impact of the social environment on healthy investment behavior is mainly reflected in investors’ resistance to cultural distance and their benefit compensation across institutional distance. In addition, their joint influence is still negative, dominated by cultural distance, which can still verify that institutional distance mitigates the negative effect of cultural distance on FDI. Therefore, in order to promote international healthy investment behavior, it is feasible to improve both the mitigation effect of the institution in the short term and promote the level of cultural exchange in the long term, according to the research results of this paper.
, Samet Tüzemen
Published: 4 January 2022
Global Journal of Emerging Market Economies, Volume 14, pp 76-92; https://doi.org/10.1177/09749101211067092

Abstract:
The relationship between foreign direct investment and carbon emissions in the BRICS (Brazil, Russian Federation, India, China, and South Africa) countries for 1992–2017 is investigated in this study. Biomass energy consumption and per capita income variables are also added to the model as additional determinants of pollution. To test the pollution haven hypothesis, panel fixed-effects and random-effects models are employed. The findings show that an N-shaped association exists between foreign direct investment and CO2 in BRICS countries. In addition, the empirical results also suggest that there is both an inverted-U and an inverted-N-shaped connection between income and pollution. Finally, the quadratic fixed-effects model results imply that biomass energy consumption has significant contribution to environmental degradation in these countries. When the results are interpreted, BRICS countries are suggested to provide more incentives to renewable energy sources and accelerate the development of the green energy system to attract clean resources and prevent environmental degradation.
International Journal of Environmental Research and Public Health, Volume 19; https://doi.org/10.3390/ijerph19010139

Abstract:
Promoting environmental innovation through environmental regulation is a key measure for cities to reduce environmental pressure; however, the role of environmental regulation in environmental innovation is controversial. This study used the number of environmental patent applications to measure urban environmental innovation and analyzed the role of urban environmental regulation on urban environmental innovation with the help of the spatial Durbin model (SDM). The results showed that: (1) From 2007 to 2017, the number of environmental patent applications in China has grown rapidly, and technologies related to buildings dominated the development of China’s environmental innovation. (2) Although the number of cities participating in environmental innovation was increasing, China’s environmental innovation activities were highly concentrated in a few cities (Beijing, Shenzhen, and Shanghai), showing significant spatial correlation and spatial agglomeration characteristics. (3) Urban environmental regulation had a positive U-shaped relationship with urban environmental innovation capability, which was consistent with what the Porter hypothesis advocates.
Tianci Yao, , Qing Yu, Wei Feng, Yuxuan Xue, Sansan Feng, Shuai Xiao
Published: 29 November 2021
Geocarto International pp 1-19; https://doi.org/10.1080/10106049.2021.2009043

Abstract:
Lake surface water temperature (LSWT) monitoring is significant as it provides valuable information on climate changes and resultant changes in lakes. Here, monthly moderate resolution imaging spectroradiometer LSWT data of 364 lakes during 2001–2015 were analysed to determine spatiotemporal patterns of daytime (LSWTd), nighttime (LSWTn), daily LSWT (LSWTm) and their drivers in the Qinghai-Tibet Plateau at monthly, seasonal and annual timescales. We focused on spatiotemporal heterogeneity of LSWT trends. Results showed climatological LSWT presented a saddle-shaped distribution along the northeast-southwest direction except for LSWTd in March, while highly heterogeneous LSWT trends without spatial dependence were observed at all timescales. Diurnal asymmetry of LSWT trends was evident with 56.04–88.19% lakes showing smaller LSWTd trends than LSWTn trends except for August and September. Further, we found lake surface albedo trend could effectively explain spatial patterns of LSWT trends at different timescales, and its interactions with other variable trends generally were the largest or second-largest.
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