Research on the spatiotemporal evolution and influencing factors of green economic efficiency in the Yangtze River Economic Belt

Song, Yaqing; Sun, Xin; Xia, Pingfan; Cui, Zhikun; Zhao, Xin

doi:10.1007/s11356-022-20542-1

Cited by 18 publications

(4 citation statements)

References 38 publications

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“…Dong (40) used a spatial econometric model to discuss the relationship and transmission mechanism between technological innovation and green economic efficiency from the perspective of natural resources and urbanization, and concluded that R&D investment will significantly affect green economic efficiency. Song et al (41) explored the temporal and spatial evolution characteristics of green economic benefits in the Yangtze River Economic Belt by dividing into three watersheds, and found that industrial structure would have a significant impact on green economic efficiency. Bilgen (42) suggested that the energy structure will significantly affect environmental pollution, which in turn affects the efficiency of the green economy.…”

Section: External Environmental Factor Indicatorsmentioning

confidence: 99%

The impact of public health events on green economy efficiency in the context of environmental regulation

Zhou

Yang²,

Fu³

et al. 2022

Front. Public Health

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Public health crises have become one of the greatest threats to sustainable global economic development. It is therefore important to explore the impact of public health events on green economic efficiency. However, few studies have specifically examined the relationship between public health security and green economic efficiency. Based on the relevant data of 30 Chinese provinces from 2011 to 2019, this paper explores the impact of public health on green economic efficiency by establishing a four-stage SBM-DEA model to construct green economic efficiency indicators and using a panel model. A moderating effect model is established to explore the moderating effect of environmental regulation on the impact of public health on green economic efficiency. In addition, this paper examines the heterogeneity of public health impact on green economic efficiency in terms of geographic location, carbon pilot, and transportation level. It is found that, first, public health events have a significant hindering effect on green economic efficiency. Second, environmental regulation has a significant moderating effect on the impact of public health events on green economic efficiency. Third, the impact of public health events on green economic efficiency changes from hindering to facilitating as the intensity of environmental regulation increases. Fourth, the impact of public health events on green economic efficiency is heterogeneous in terms of geographic location, carbon pilot, and transportation level. The above studies have implications for how to balance economic development and environmental protection in case of a public safety event.

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Section: External Environmental Factor Indicatorsmentioning

confidence: 99%

The impact of public health events on green economy efficiency in the context of environmental regulation

Zhou

Yang²,

Fu³

et al. 2022

Front. Public Health

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“…Similarly, studied the GTFP of YDR in China and proposed to reduce government intervention and strengthen foreign investment guidance. Song et al (2022) estimated the green economic effectiveness (GEE) of provinces in the Yangtze River Economic Belt (YREB) using the super SBM model and found that the inter-basin differences were greater than the intra-basin differences. Zhong et al (2022) measured industrial GTFP of 108 cities in YREB based on DEA model with metafrontier infrastructure framework and ML index.…”

Section: Empirical Work In the Literaturementioning

confidence: 99%

Spatial differences, distributional dynamics, and driving factors of green total factor productivity in China

Zhao

et al. 2022

Front. Environ. Sci.

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“…Concerning influencing factors, researchers predominantly employ models like the Tobit model [14] and spatial econometric model [15] to investigate factors such as industrial structure [2] environmental regulation [16], and industrial agglomeration [17,18] in their impact on green economic efficiency. Regarding the spatial-temporal evolution pattern of green economic efficiency, scholars commonly employ exploratory spatial data analysis [19], kernel density estimation [20], Theil index [21], Dagum Gini coefficient [22], and other methods to explore the dynamic distribution and regional disparities.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Spatial-Temporal Evolution and Its Influencing Factors of Cities’ Green Economic Efficiency: A Case Study of Shandong Province, China

Zhang,

Li,

et al. 2024

Pol. J. Environ. Stud.

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Based on panel data from 16 prefecture-level cities in Shandong Province from 2011 to 2020, the paper utilizes the super-efficiency SBM model with undesirable outputs to measure the green economic efficiency of each city. Spatial autocorrelation analysis and the natural breaks method are applied to analyze the spatial-temporal evolution of green economic efficiency. Lastly, a panel Tobit model is used to analyze the factors affecting green economic efficiency. The study's outcomes are as outlined below: (1) The green economy efficiency of the 16 cities in Shandong Province showed an overall increasing trend from 2011 to 2020. However, there is a noticeable disparity in green economic efficiency among cities, with developed cities exhibiting relatively higher levels of efficiency.(2) The proportion of cities with high green economic efficiency steadily increases, and these highefficiency regions gradually cluster around the provincial capital and the eastern coastal areas. While there is heterogeneous clustering of green economic efficiency, the degree of this heterogeneity decreases over time. (3) Social security, economic development, and technological advancement significantly enhance green economic efficiency, whereas the industrial structure noticeably impedes efficiency. Environmental regulations and urbanization levels have a less pronounced impact on efficiency. Drawing from these findings, this chapter presents targeted policy recommendations.

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Research on the spatiotemporal evolution and influencing factors of green economic efficiency in the Yangtze River Economic Belt

Cited by 18 publications

References 38 publications

The impact of public health events on green economy efficiency in the context of environmental regulation

The impact of public health events on green economy efficiency in the context of environmental regulation

Spatial differences, distributional dynamics, and driving factors of green total factor productivity in China

Analysis of Spatial-Temporal Evolution and Its Influencing Factors of Cities’ Green Economic Efficiency: A Case Study of Shandong Province, China

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