Analysis of spillover effects of regional environmental pollution: an interprovincial study in China based on spatiotemporal lag model

Hou, Hui; Zhu, Youbin

doi:10.1007/s11356-021-15739-9

Cited by 12 publications

(4 citation statements)

References 86 publications

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“…In order to achieve the improvement of overall environmental pollution treatment efficiency, the eastern region can export advanced environmental protection technology to the central and western regions, and the western region can use its abundant natural resources to cooperate with the eastern region. Other regions should lend a helping hand to the northeast region by sharing environmental governance experience, advanced environmental technologies, etc., and exporting environmental governance talents [ 71 ]. Vigorously develop the rural economy.…”

Section: Discussionmentioning

confidence: 99%

How to Evaluate Investment Efficiency of Environmental Pollution Control: Evidence from China

Xiao-chun

Long

Sun

et al. 2022

IJERPH

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Clarifying the efficiency of investment in environmental pollution control is conducive to better control of environmental pollution. Based on panel data of 30 provinces and cities in China from 2008 to 2017, this study combines the three-stage super-efficient SBM-DEA model and the Global-Malmquist-Luenberger index to measure the efficiency of investment in environmental pollution control in China and analyze regional differences. The results show that: First, the investment efficiency of environmental pollution control in China shows a rising trend year by year, but there are significant differences among provinces and regions; the presence of random factors and environmental variables makes the control efficiency underestimated. Second, excluding the effects of both, the national investment efficiency of environmental pollution control has improved significantly, but still has not reached the optimal effect; the gap between provinces and regions has narrowed while the investment efficiency of environmental pollution control has improved, and there is still an unbalanced situation. Third, the main driver of the year-on-year improvement in China’s environmental pollution control efficiency is technological progress; compared with northeastern China, technological progress has a more significant role in promoting eastern, central, and western China. Finally, based on the results, this paper focuses on making suggestions to promote environmental pollution control in China in terms of making regional cooperation, making good environmental protection investment and strengthening environmental protection technology research and development.

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Section: Discussionmentioning

confidence: 99%

How to Evaluate Investment Efficiency of Environmental Pollution Control: Evidence from China

Xiao-chun

Long

Sun

et al. 2022

IJERPH

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“…Therefore, this paper puts forward H3: the impact of digital economy on UGED has a threshold effect due to the differences in economic development. (Hou et al, 2022). Moreover, the spatial dependence among variables has time inertia.…”

Section: Threshold Effect Analysis Of Digital Economy On Ugedmentioning

confidence: 99%

Can digital economy be a “new engine” for urban green economy development? An empirical analysis of Chinese cities

Zhao

Yan

2023

Preprint

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Digitization and greening are the vital driving force of China’s economic transformation. Whether they can drive collaboratively China’s economy is the key to realizing sustainable development. In this study, a super efficiency EBM model is applied to calculate the urban green economy development (UGED) level of 266 Chinese cities between 2011 and 2020, and then the dynamic SDM and intermediary effect models are employed to explore the impact and transmission mechanism of digital economy on UGED. Furthermore, it is also investigated whether digital economy and UGED have a nonlinear relationship. In the findings, digital economy is capable of significantly boosting UGED in the local city and its neighborhood, but significant differences exist in different regions and economic development stages. As a result of the transmission mechanism test, it may be found that digital economy could indirectly boost UGED through technology, structure, and allocation effects. The impact of digital economy on UGED has a double threshold due to the significant difference in the urban economic development level. The digital economy is increasingly contributing to UGED as the local economy develops. Therefore, local governments should develop digital economy in line with the local conditions so that its engine role in driving UGED can be given full play.

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“…The rural population is the main participant in agricultural economic activities, and the larger the size of the rural population in agricultural production and operation, the greater the demand for agricultural raw materials and the greater the input of agricultural chemicals, resulting in more serious ANSP. However, some scholars argue that population growth leads to an increased demand for resources, forcing people to improve production techniques, find substitutes, and increase efficiency, making the impact of population growth on the environment neutral or even positive [60]. Rural domestic pollution emissions are one of the components of ANSP, involving the discharge of domestic sewage, domestic waste, and human waste.…”

Section: Spatial Econometric Model (1) Spatial Measurement Model Cons...mentioning

confidence: 99%

Spatial Pattern Evolution and Influencing Factors on Agricultural Non-Point Source Pollution in Small Town Areas under the Background of Rapid Industrialization

Yan

Jianji

Jia-jun

et al. 2023

IJERPH

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To promote sustainable agricultural development in small town areas during rapid industrialization, it is important to study the evolution of agricultural non-point source pollution (ANSP) and its influencing factors in small town areas in the context of rapid industrialization. The non-point source inventory method was used to study the characteristics of ANSP evolution in 14 small town areas in Gongyi City from 2002 to 2019. Using the spatial Durbin model and geographical detectors, the factors influencing ANSP in small town areas were analyzed in terms of spatial spillover effects and the spatial stratified heterogeneity. The results showed a zigzagging downward trend of ANSP equivalent emissions over time. Spatially, the equivalent emissions of ANSP showed a distribution pattern of being high in the west and low in the east. There was a significant positive global spatial autocorrelation feature and there was an inverted “U-shaped” Environmental Kuznets Curve relationship between industrialization and ANSP. Affluence, population size, and cropping structure positively contributed to the reduction of ANSP. Population size, land size, and industrialization were highly influential factors affecting the spatial variation of ANSP and the interaction of these factors was bivariate or nonlinearly enhanced. This study provides a feasible reference for policymakers and managers to develop reasonable management measures to mitigate ANSP in small town areas during rapid industrialization.

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Analysis of spillover effects of regional environmental pollution: an interprovincial study in China based on spatiotemporal lag model

Cited by 12 publications

References 86 publications

How to Evaluate Investment Efficiency of Environmental Pollution Control: Evidence from China

How to Evaluate Investment Efficiency of Environmental Pollution Control: Evidence from China

Can digital economy be a “new engine” for urban green economy development? An empirical analysis of Chinese cities

Spatial Pattern Evolution and Influencing Factors on Agricultural Non-Point Source Pollution in Small Town Areas under the Background of Rapid Industrialization

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