scholarly journals Environmental Effects of Credit Allocation Structure and Environmental Expenditures: Evidence from China

2021 ◽  
Vol 13 (11) ◽  
pp. 5865
Author(s):  
Qiming Yang ◽  
Jun He ◽  
Ting Liu ◽  
Zhitao Zhu
Keyword(s):  
Environmental Pollution ◽  
Environmental Quality ◽  
Spatial Data ◽  
Environmental Governance ◽  
Econometric Model ◽  
Private Enterprises ◽  
Spatial Econometric ◽  
Credit Allocation ◽  
Ecological Protection ◽  
Environmental Expenditures

This article studies how the allocation structure of bank credit capital between state-owned and private enterprises and government environmental expenditures affect environmental pollution in China. The present literature argues that credit allocation and government environmental expenditures may play an important role in environmental quality improvement. However, these studies rarely consider the credit allocation structure between State-owned enterprises (SOEs) and private enterprises; in addition, they overlook the interaction effects of credit allocation and government environmental expenditures. Based on these, we put forward three hypotheses. Moreover, the study applies relevant spatial data for 2011–2017 from 31 provinces in China to a spatial econometric model, and the results indicate that (1) environmental pollution among provincial regions shows a significant positive spatial autocorrelation. (2) Environmental expenditures and environmental pollution display an inverse U-shaped relationship, which supports the numerical simulation results. (3) The interaction effect of credit allocation structure and environmental expenditures on environmental pollution is significantly positive, which means that the allocation of more credit capital to private enterprises will restrain the effect of government environmental expenditures. With the increasing significance of environmental protection in China, it is necessary to strengthen the supervision of private enterprises’ environmental pollution behavior, expand government expenditures on ecological protection, and promote regional collaborative environmental governance to improve environmental quality.

How can environment get better? A research review of pollution governance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuqing He ◽  
Xintian Liu ◽  
Xiaoqing Wang
Keyword(s):  
Environmental Pollution ◽  
Environmental Quality ◽  
Environmental Governance ◽  
Research Review ◽  
Coordinated Development ◽  
Content Type ◽  
Global Environmental ◽  
Survival And Development ◽  
Solid Foundation ◽  
The Comparative Study

PurposeThis study aims to build a global environmental quality protection convention to jointly address the problems of environmental pollution governance worldwide.Design/methodology/approachFrom the perspective of environmental pollution of the air, ocean, forest, water and solid waste, the authors summarize the main important measures and mechanisms of environmental pollution governance in various countries.FindingsThe results indicate that management research on biodiversity and natural resources must be strengthened, the relationship between economic development and environmental quality management needs to be balanced, the comparative study of domestic and international environmental governance theories and practices should be strengthened, empirical and applied research on environmental governance needs to be focused on, and complete system research on environmental governance and management should be explored. In the future, further strengthening environmental awareness, addressing environmental pollution and managing environmental quality are necessary.Originality/valueThe environment is the foundation of human survival and development. With the development of economy, contradictions between human and natural environment (e.g. air, ocean, forest and water) have become prominent. Environmental pollution governance cannot only help address existing environmental problems but also solve economic problems of various countries. The prerequisite for sustainable development is to lay a solid foundation for the coordinated development of economic growth and pollution management.

scholarly journals The Environmental Pollution Effects of Industrial Agglomeration

2019 ◽  
Vol 10 (3) ◽  
pp. 14-29 ◽  
Author(s):  
Suxia Liu ◽  
Yingming Zhu ◽  
Weiqiang Wang ◽  
Yu Pei ◽  
Kuanqi Du
Keyword(s):  
Environmental Pollution ◽  
Industrial Pollution ◽  
Econometric Model ◽  
Industrial Agglomeration ◽  
Solow Model ◽  
Spatial Econometric ◽  
Pollution Effects ◽  
Long Run ◽  
Using Data ◽  
The Relationship

To analyze the environmental pollution effects elicited by industrial agglomeration, a spatial econometric model is constructed based on the Green Solow model. Using data derived from 285 Chinese cities between 2003and 2014, the global Moran'I and local bivariate LISA agglomeration map demonstrates that there is significant correlation between industrial agglomeration and industrial pollution discharge. Then, the spatial Durbin model (SDM) is built and the empirical results are as follows. First, inter-city industrial pollution discharge has a demonstration effect. Cites in the same region should take measures to cooperate to lower industrial pollution discharge. Second, the relationship between the local cities' industrial agglomeration and the local cities' industrial pollution discharge fits the inverted “U” curve. While the neighboring cities' industrial agglomeration will decrease the local cities' industrial pollution discharge. So, measures should be taken to increase the industrial agglomeration degree in the long run.

scholarly journals Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data

2019 ◽  
Vol 16 (16) ◽  
pp. 2871 ◽  
Author(s):  
Shi Wang ◽  
Yizhou Yuan ◽  
Hua Wang
Keyword(s):  
Panel Data ◽  
Environmental Pollution ◽  
Environmental Quality ◽  
Spatial Econometrics ◽  
Interaction Effect ◽  
Spatial Econometric ◽  
Hidden Economy ◽  
Pollutant Discharge ◽  
And Control ◽  
The Impact

Previous studies show that the environmental quality is significantly influenced by corruption and the hidden economy separately. However, what is the impact of their interaction effect on environmental quality? Based on Multiple Indicators Multiple Causes (MIMIC) model, this study calculates the scale of hidden economy in Chinese provinces firstly. Then, we apply the method of spatial econometrics to analyze the interaction effect of corruption and the hidden economy on environmental pollution with China’s provincial panel data from 1998 to 2017. The results indicate that the interaction effect between corruption and hidden economy significantly increases pollutant discharge, suggesting that both anti-corruption and control of the hidden economy may improve environmental quality directly and indirectly.

The Research on Temporal and Spatial Econometric Analysis of Environmental Quality and Economic Growth

2014 ◽  
Vol 926-930 ◽  
pp. 4398-4401
Author(s):  
Xian Hong Xu
Keyword(s):  
Economic Growth ◽  
Environmental Quality ◽  
Environmental Governance ◽  
Function Analysis ◽  
Impulse Response Function ◽  
Spatial Econometric ◽  
Long Run ◽  
Lag Effect ◽  
Depth Analysis

The traditional economic growth rapid growth of the gross national product, but also the natural resources are depleted, increasing environmental pollution, and the relationship between economic growth and environmental quality has caused a lot of controversy. Intuitive description of both the timing of changes in the law, in turn based on in-depth analysis of the dynamic pollution and income associated VAR model, found that there are long-run equilibrium and unilateral Granger causality, and then using the impulse response function analysis and analysis of variance, found that economic growth greater impact on the quality of the environment and the current quality of the environment is very small role in boosting economic growth, and this effect lag effect. Panel Data model to further explore the factors that affect the model, this paper found that the population density, the proportion of secondary industry and environmental governance investment on the quality of the environment has a significant impact, the majority of the pollution indicators are in line with the EKC inverted U-curve hypothesis, and a turning point in the inverted U-curve is also to make the calculation.

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

2020 ◽  
Vol 17 (18) ◽  
pp. 6477
Author(s):  
Shi Wang ◽  
Hua Wang ◽  
Qian Sun
Keyword(s):  
Foreign Direct Investment ◽  
Environmental Pollution ◽  
Interaction Effect ◽  
Direct Investment ◽  
Econometric Model ◽  
Spillover Effect ◽  
Eastern Region ◽  
Environmental Standards ◽  
Spatial Econometric ◽  
The Impact

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.

scholarly journals Nonlinear Influence of Chinese Real Estate Development on Environmental Pollution: New Evidence from Spatial Econometric Model

2022 ◽  
Vol 19 (1) ◽  
pp. 588
Author(s):  
Wenqin Gong ◽  
Yu Kong
Keyword(s):  
Real Estate ◽  
Environmental Pollution ◽  
Econometric Model ◽  
Real Estate Development ◽  
Real Estate Industry ◽  
Spatial Econometric ◽  
The Real ◽  
The Real Estate ◽  
Spatial Econometric Model ◽  
The Impact

Environmental pollution is a problem of universal concern throughout the globe. The development of real estate industry not only consumes huge resources, but also has close ties with high-consumption industries such as the construction industry. However, previous studies have rarely explored the impact of real estate development on environmental pollution. Therefore, this paper employs the entropy method to construct a comprehensive index of environmental pollution based on panel data of 31 provinces in China from 2000 to 2017, and empirically examines the impact of real estate development on environmental pollution. This article uses real estate investment to measure the development of the real estate industry. In view of the high spatial autocorrelation of environmental pollution, this paper selects a spatial econometric model. The empirical study found that: (1) By using the Spatial Durbin Model, real estate development has an inverted U-shaped impact on environmental pollution. Meanwhile, most cities have not yet reached the turning point; that is, with the continuous development of the real estate industry, environmental pollution will continue to increase. (2) Further regional heterogeneity found that the inverted U-shaped relationship still exists in coastal and inland areas. (3) Finally, this article used the Spatial Mediation Model to explain the nonlinear impact of real estate development on environmental pollution, with two important mediating variables: population density and industrial structure. Through the above analysis, it can be observed that real estate development has a significant impact on environmental pollution. Thus, the country and the government can reduce environmental pollution by improving the investment structure, using environmentally friendly building materials, guiding population flow and promoting industrial upgrading.

Thoughts on the Protection of Ecological Environment of Tourism

2013 ◽  
Vol 448-453 ◽  
pp. 4441-4444
Author(s):  
Ming Chong Gu ◽  
Hong Liu
Keyword(s):  
Qualitative Analysis ◽  
Environmental Pollution ◽  
Environmental Governance ◽  
Tourism Development ◽  
Ecological Environment ◽  
Environment Protection ◽  
Analysis Method ◽  
Important Goal ◽  
Ecological Protection ◽  
Domestic Tourism

In recent years, tourism has developed rapidly in our countryhe partys eighteenth congress pay more attention to the environmental pollution problems and the "Twelfth Five-Year Plan" put environmental governance as an important goal, the protection of tourism ecological environment has been more and more attention. China's tourism ecological protection is still in its infancy, this paper uses qualitative analysis method; analyze the domestic tourism development at facing ecological environment problems, and put forward tourism environment protection countermeasures for corresponding problems.

scholarly journals An Analysis of Environmental Efficiency and Environmental Pollution Treatment Efficiency in China’s Industrial Sector

2021 ◽  
Vol 13 (5) ◽  
pp. 2579 ◽  
Author(s):  
Xiao-Ning Li ◽  
Ying Feng ◽  
Pei-Ying Wu ◽  
Yung-Ho Chiu
Keyword(s):  
Environmental Pollution ◽  
Environmental Governance ◽  
Income Group ◽  
Industrial Sector ◽  
High Income ◽  
Environmental Efficiency ◽  
Technical Level ◽  
High Income Group ◽  
Middle Income ◽  
Income Groups

This research adopts the meta Dynamic Directional Distance Functions (DDF) model in order to calculate the environmental efficiency and environmental governance efficiency of China’s industrial sector from 2010 to 2017 from the overall, sub-regional, and sub-provincial perspectives and discusses the technical gaps in regional environmental pollution control and the reasons for ineffective environmental governance. The research results show that the overall level of environmental governance efficiency in China’s industrial sector is relatively high over this time period, and the group frontier calculation results have improved compared to the meta frontier. The actual technical level of the high-income group is closest to the potential technical level, and the upper-middle income group is still far from the potential technical level. The main reason for the ineffective environmental governance of the provinces in the high-income group is ineffective management, while the main reason for ineffective environmental governance of the provinces in the upper-middle-income groups is technical inefficiency. Regardless of high-income groups or upper-middle-income groups, each province’s inefficiency of environmental governance is caused by inefficiency of the input factors.

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