Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China

Zhang, Rui; Ma, Yong; Ren, Jie

doi:10.3390/ijerph19159306

Cited by 13 publications

(5 citation statements)

References 58 publications

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“…(1) In the target layer, the weight of environmental protection and utilization dimension was 0.48, greater than the dimension of economic green development with a weight of 0.26. This result is different from the existing research done by Zhang et al (2022) who gave greater weight to the economic indicators and prioritized the per-capita GDP growth rate. This is because they selected cities in the YREB as the research objects, which mainly pursue economic development.…”

Section: Discussioncontrasting

confidence: 89%

“…protection, quality of growth and sustainable living. In academia, researchers have been focusing on a five-dimensional evaluation system of green development based on DPSIR framework (Zhang et al 2020) and a six-dimensional evaluation system used to measure the quality of growth, industrial development, resource utilization, environmental carrying capacity, environmental management and sustainable living (Zhang et al 2022). Also, several three-dimensional evaluation systems are widely studied, such as the Economic Development-Social Progress-Ecological Civilization system (Huang and Li 2017), the Green Growth-Green Welfare-Green Wealth system (Li et al 2020) The method for evaluating GDPL include subjective weighting methods (expert scoring method and analytic hierarchy process), objective weighting methods (entropy weighting method and TOPSIS method, projection pursuit model, time series and principal component analysis, factor analysis) and the comprehensive weighting method (Multi-Objective Optimization by Ratio method, fuzzy comprehensive evaluation method, the hesitant Fermatean fuzzy MULTIMOORA approach) (Abdelgawad and Fayek 2010;Brauers and Zavadskas 2010;Li et al2014;Huang and Li 2017;Luo and Liu 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

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A novel evaluation system of green development performance in the Three Gorges Reservoir Area and its spatial-temporal pattern

Chen

Liu²,

Wen

2023

Preprint

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The Three Gorges Project, a world-class water conservancy project, was built in 2020 and set a new world record in annual electricity generation. It is undeniable that it has brought considerable ecological benefits together with economic and social benefits to the Three Gorges Reservoir Area (TGRA). It is full of practical significance to evaluate the green development performance level (GDPL) in the TGRA, which is a new indicator reflecting the comprehensive performance of the Three Gorges Project. This study focuses on evaluating the GDPL in the TGRA. First, we established a novel evaluation system for GDPL in the TGRA, and then the GDPL of 26 regions in the TGRA from 2000 to 2020 were calculated by using overall entropy method and expert scoring method to analyze the development performance of environmental system, economic system and social system and their coupling coordination degree. Also, the temporal and spatial evolution process, regional disparity, and spatial correlation of GDPL in the TGRA were examined through exploratory spatial data analysis (ESDA). The results show that: (1) the GDPL in the TGRA is in a medium level with a score of 0.3–0.4 and is growing stably. Ecological protection and development quality contribute greatly to the GDPL and the inter-regional differences between the head, the belly and the tail sections are narrowing. (2) The coupling degree between the environmental system, economic system and social system in the TGRA is as high as above 0.8, but the coupling coordination degree is only about 0.3. (3) The GDPL in TGRA varies with the region and is at a high level in the belly section, a medium level in the head and tail sections. The six regions in the belly section and one in the tail section, which are of a high level of GDPL, form a shape of the Big Dipper. (4) The global spatial correlation was not obvious in most years except the year of 2000, 2017, 2018 and 2019. The Lisa cluster map shows clusters only emerge in the head and the tail sections, the belly section, in which the GDPL is high, doesn’t show spatial agglomeration. These findings can not only provide references for promoting green development in the TGRA, but also enrich the study of the evaluation of GDPL.

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Section: Discussioncontrasting

confidence: 89%

Section: Literature Reviewmentioning

confidence: 99%

A novel evaluation system of green development performance in the Three Gorges Reservoir Area and its spatial-temporal pattern

Chen

Liu²,

Wen

2023

Preprint

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“…Between 2012 and 2018, the GDE of the YREB city clusters all received a significant boost. Some studies suggest that this phenomenon is related to the macro policies of the Chinese government (Li G et al, 2021;Li J et al, 2021;Zhang et al, 2022). Our regression results also support the idea that PI is positively correlated with GDE.…”

Section: Gde Of the City Cluster In The Yrebsupporting

confidence: 87%

How urban development affects green development efficiency in China: Taking the city cluster of Yangtze river economic belt as an example

Huang

Shangguan

Gui

et al. 2023

Front. Environ. Sci.

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Introduction: In order to change the long-term economic development model which is at the expense of the environment, China proposed a series of new energy development and environmental intervention policies. However, there is no evidence to support the impact of urban development on the green development efficiency (GDE) under China’s macroeconomic policies at present. In order to answer this research question and help the government to improve the GDE, this study takes the Yangtze River Economic Belt (YREB) city cluster (41 cities) in China as an example to conduct an empirical study.Methods: We first measure the GDE of these cities by Slack Based Model (SBM). Then, the Tobit model is used to measure the impact of urban development elements, namely population urbanization, land urbanization, and urban industrial development, on GDE.Results and Discussion: The analysis of the data leads to the following conclusions and suggestions: 1) The GDE of the city cluster in the YREB has generally been improved driven by policies. But compared to policy interventions, the level of science, technology and management are the primary drivers of long-term improvement in GDE. 2) In order to avoid the economic development and environmental capacity failure to afford the increase in energy consumption and pollution discharge caused by population urbanization and land urbanization, local governments need to promote energy transformation, increase environmental protection efforts and attract top-tier talent. 3) The improvement of GDE by industrial upgrading is a dynamic and slow process, and blindly pushing industrial restructuring will lead to a decline in GDE. Therefore, the Chinese government needs to provide an ecologically suitable environment for local industrial development, which needs to avoid “pulling out the seedlings” and “one-size-fits-all” approach.

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“…This paper also empirically analyses how economic growth affects green finance in China from a broad and narrow perspective (Qiu, 2017). The development of national green credit, green stocks, green bonds, green investment and green GDP is measured based on various financial indicators of environmental protection companies, and the development level and efficiency of national, inter-provincial and regional green finance are subsequently analyzed (Zhang et al, 2018). By using a green financial development index system built based on China's highspeed and new normal economic development stages, this paper reveals a high green development level in Central China and suggests that the entire country should learn from the green financial development policy of this region (Zhou and Tian, 2019).…”

Section: Review Of Green Finance Researchmentioning

confidence: 99%

Research on the Spatial Impact of Green Finance on the Ecological Development of Chinese Economy

2022

Front. Environ. Sci.

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Carbon peaking and carbon neutralization have become catalysts for the development of green finance in China. The possible risks of climate change are also being considered by an increasing number of financial institutions. Environmental pollution and deterioration have become the main drivers of China’s unbalanced and insufficient development in the new era. As a new financial model, green finance has attracted much attention from people and the society. Promoting and integrating this concept into economic transformation and ecological civilization strategies can guarantee China’s high-quality green development through economic ecology. This paper analyzes the relationship between the development of green finance and the development of economic ecology. The research conclusion is of great significance to speed up the construction of ecological civilization in China. Firstly, this paper analyses the spatial correlation between green finance and economic ecological development in China using the Moran’s index. Secondly, this paper constructs a spatial econometric model and performs a regression empirical analysis using the panel data of 30 provinces in China from 1999 to 2020 to understand the impact of green finance on China’s ecological development. Results show that green finance demonstrates strong spatial agglomeration and that the development of economic ecology maintains a stable spatial positive correlation. Moreover, the spatial difference in economic ecological development is more obvious than that in green finance development. The development of green finance not only has a significantly positive role in promoting the economic and ecological development of a certain province but also promotes the development of economic ecology in the surrounding provinces. The development of economic ecology itself generates a positive spatial spillover effect, that is, improving the economic ecological level of a province will also improve the corresponding level of the surrounding provinces.

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Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China

Cited by 13 publications

References 58 publications

A novel evaluation system of green development performance in the Three Gorges Reservoir Area and its spatial-temporal pattern

A novel evaluation system of green development performance in the Three Gorges Reservoir Area and its spatial-temporal pattern

How urban development affects green development efficiency in China: Taking the city cluster of Yangtze river economic belt as an example

Research on the Spatial Impact of Green Finance on the Ecological Development of Chinese Economy

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