Study on the measurement of industrial eco-efficiency, spatial distribution and influencing factors in Yangtze River Economic Belt

Liu, Liang; Zhao, Yuting; Yang, Yirui; Liu, Shu; Gong, Xiujuan; Pan, Jun–Yi

doi:10.1371/journal.pone.0283964

Cited by 5 publications

(4 citation statements)

References 47 publications

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“…This has achieved certain results. The economy of the midstream region, for historical reasons, was mainly driven by industrial development, with a large number of chemical enterprises present along the rivers, high wastewater emissions, and serious air pollution, making it difficult to supervise prominent risks [ 49 – 51 ]. Environmental risk regulation was a long-term dynamic process and is lagging behind.…”

Section: Discussionmentioning

confidence: 99%

Study of the collaborative prevention and control mechanisms of ecological and environmental risks in China’s Yangtze River Economic Belt

Wang,

Zhou,

Wang

et al. 2023

PLoS ONE

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The Yangtze River Economic Belt, as a globally important economic growth pole and population concentration area, has always received attention to its ecological and environmental issues. Currently, there is little research on the synergy among the ecological environment risk prevention and control mechanisms in this region. Strengthening research in this area has important scientific value for improving the effectiveness of ecological risk prevention and control and the sustainable development of the Yangtze River Economic Belt. Based on the data from 11 provinces and cities in the Yangtze River Economic Belt from 2017 to 2021, this study establishes an indicator system with benefit incentive mechanisms, risk regulatory mechanisms, and risk governance mechanisms as frameworks. By employing a composite system synergy model, this study utilizes the entropy weight method to assign weights to each indicator and calculates the orderliness and synergy of the three mechanisms separately. The results show that: (1) There are differences in the orderliness of mechanisms among the regions. The downstream area has the highest orderliness of the three mechanisms, with the middle stream area higher than the upstream area in terms of incentive mechanisms and risk governance mechanisms. (2) The orderliness of each mechanism has slight fluctuations but shows an overall upward trend, with the orderliness of regulatory mechanisms significantly higher than that of incentive mechanisms and governance mechanisms. (3) In terms of synergy, the three major mechanisms show a stable upward trend in synergy but with a relatively low degree of synergy. Based on these findings, future efforts should focus on optimizing mechanism construction and information sharing, improving incentive mechanisms, strengthening risk regulatory mechanisms, and consolidating the effectiveness of risk governance mechanisms.

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Section: Discussionmentioning

confidence: 99%

Study of the collaborative prevention and control mechanisms of ecological and environmental risks in China’s Yangtze River Economic Belt

Wang,

Zhou,

Wang

et al. 2023

PLoS ONE

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“…Recent investigations have verified that environmental regulations not only shape industrial configurations and corporate conduct within specific locales but also exert their impact on adjacent regions through market dynamics and technological diffusion, underscoring the geospatial and multidimensional aspects of these regulatory influences [56]. Efforts to deconstruct this mechanism have spanned various spatial dimensions, with empirical research demonstrating conspicuous patterns of geographic clustering in ecological efficiency improvements across different areas and cities, intricately associated with the degree of environmental regulatory enforcement and enterprise-specific traits [13,14]. These insights prompt regionalized regression analyses and dialogues on the effects of environmental regulations.…”

Section: Elucidating the Pathways And Spatial Dynamics Of Industrial ...mentioning

confidence: 96%

“…This intimates that the greening of China's industrial framework is yet in a formative phase, beset by developmental disparities and inadequacies that necessitate further amelioration. It is postulated that the spatial concentration of industrial ecological efficiency within certain locales could be ascribed to a convergence of analogous production conditions alongside the aggregation of human and technological capitals [13,14]. In aggregate, while the metrication of industrial ecological efficiency has been a focal point of academic discourse, the absence of a standardized methodology and a consensus on indicators constrain the cross-comparison of disparate findings.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Impact of Heterogeneous Environmental Regulation on the Ecological Efficiency of Industrial Enterprises: A Multivariate Adjustment Approach Using the CLAD Spatial Durbin Model

Xu,

Qiang,

Luo

2024

Sustainability

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The ecoefficiency of industrial enterprises serves as an indicator of regional industry’s capacity for sustainable development, with judicious environmental regulations being essential for facilitating green industrial transformation and the realization of high-quality development. In this investigation, a global Super-SBM model is utilized to assess the ecoefficiency of industrial firms in 30 Chinese provinces from 2003 to 2021. Furthermore, we examine how environmental regulations affect industrial ecoefficiency using a moderating effect model and we determine spatial implications using the Clad-SDM model. The findings are as follows: (1) The ecoefficiency of China’s industrial enterprises has increased from approximately 0.2 to nearly 0.4, with command-based environmental regulations augmenting ecoefficiency in contrast to the limited impact of market-based regulations. (2) Economic advancement amplifies the positive influence of command-based regulations on industrial ecoefficiency and heightens the negative effects of market-based regulations; concurrently, international trade and the technological milieu positively moderate the influence exerted by market-based and command-based regulations, respectively. (3) Both regulatory types exhibit significant spatial spillover effects, with clear regional differences in their impact on industrial ecoefficiency.

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“…For instance, Yu et al computed the ecological efficiency of interprovincial industries in China, revealing a concentration of provinces with elevated IEE in the prosperous eastern region, contrasted with those exhibiting lower IEE in the less developed western area [42]. Similarly, Liu et al observed that the IEE in the midstream region of the Yangtze River Basin exceeded that in both the upstream and downstream areas [43]. Zhao et al noted a need for more significant disparity in IEE among cities during the initial stages of economic development in the Yangtze River Basin.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigating the Effects of Environmental Regulation on Industrial Ecological Efficiency in China Using a Panel Smooth Transition Regression Model

Wang,

Guo,

et al. 2023

Sustainability

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Environmental regulation (ER) is a crucial tool used by governments to intervene in the environmental practices of enterprises, and it is recognized as a significant avenue to impact industrial ecological efficiency (IEE). This study uses the superefficiency SBM model to determine provincial IEE scores. Then, a panel smooth transition regression (PSTR) model is used to explore the effects of ER on IEE transition at different stages of economic growth. The main findings are as follows: Firstly, China’s IEE showed an overall upward trend, with small increments over the past two decades. Regions with higher IEE were mainly located in the east, while those with lower IEE were mostly in the less economically developed west. Secondly, the PSTR model revealed that ER had varying impacts on IEE at different stages of economic growth. ER positively influenced IEE in the early stages of economic growth. However, after surpassing the threshold of economic growth, ER began to contribute to reducing IEE scores. In addition to these findings, this study proposes a series of policy recommendations to strengthen IEE.

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Study on the measurement of industrial eco-efficiency, spatial distribution and influencing factors in Yangtze River Economic Belt

Cited by 5 publications

References 47 publications

Study of the collaborative prevention and control mechanisms of ecological and environmental risks in China’s Yangtze River Economic Belt

Study of the collaborative prevention and control mechanisms of ecological and environmental risks in China’s Yangtze River Economic Belt

Investigating the Impact of Heterogeneous Environmental Regulation on the Ecological Efficiency of Industrial Enterprises: A Multivariate Adjustment Approach Using the CLAD Spatial Durbin Model

Investigating the Effects of Environmental Regulation on Industrial Ecological Efficiency in China Using a Panel Smooth Transition Regression Model

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