Capital misallocation, technological innovation, and green development efficiency: empirical analysis based on China provincial panel data

Yang, Yuping; Wu, Di; Xu, Meng; Yang, Mengting; Zou, Wenjie

doi:10.1007/s11356-022-20364-1

Cited by 51 publications

(29 citation statements)

References 83 publications

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“…(1) Green development level: International institutions and researchers have constructed corresponding indicator systems according to the different scales of the research objects, mainly focusing on economic, societal, and environmental aspects [ 7 , 8 , 10 , 11 , 12 , 13 , 14 , 15 ]. (2) Green development efficiency: Based on the input-output model, scholars have constructed green development efficiency evaluation index systems, including economic input, capital input, resource input, desirable output, and undesired output [ 16 , 17 , 18 , 19 , 20 , 21 ].…”

Section: Literature Reviewmentioning

confidence: 99%

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

Zhang

Ren

2022

IJERPH

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In the context of continuing to promote the construction of an ecological civilization, it is of great significance to explore green development performance. However, most of the literature is based on a single perspective of level or efficiency, lacking a comprehensive examination of both. It is not scientific to explore how to promote green development only from a single perspective, which may be a new advancement by breaking the conventional thinking focusing only on level or efficiency. On this basis, we first established evaluation index systems of green development performance based on a theoretical framework. Furthermore, green development performance was measured with the entropy weight technique for order preference by similarity to ideal solution (TOPSIS) and super-EBM models, and finally, we analyzed the spatial and temporal evolution patterns of green development performance using the ESDA method and examined its influencing factors with a geographic detector (GD) and econometric models. The main results were as follows: (1) The trend of the green development level in the Yangtze River Economic Belt from 2004 to 2017 had an inverted “N” shape, while the overall average green development efficiency continuously increased. (2) In terms of spatial and temporal patterns, both the green development level and green development efficiency showed “high in the east and low in the west” spatial divergence characteristics. In terms of the spatial and temporal evolution pattern of the green development level, the L-L clusters were mainly distributed in the western region. However, for green development efficiency, the L-L clusters were mostly distributed around the H-H clusters. (3) The results of the influencing factor analysis indicated that industrial structure and people’s welfare are still important factors of the green development level. The improvement of green development efficiency was mainly driven by economic development, and the inhibiting effect of energy consumption is significant. In addition, the effect of opening up has not yet changed from a “pollution paradise” to a “pollution halo”.

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Section: Literature Reviewmentioning

confidence: 99%

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

Zhang

Ren

2022

IJERPH

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“…Although optimizing the allocation of innovation factors or increasing their input levels will help green innovation, the consequent mismatch of innovation factors may also lower green innovation efficiency. Yang et al [19] proved that capital mismatch might be a critical factor inhibiting the improvement of green innovation performance because of impeding technological innovation. In addition, the agglomeration or transfer of human capital in a region will also affect the innovation factor allocation in the neighborhood regions [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Causes and Evolution Characteristics of Green Innovation Efficiency Loss: The Perspective of Factor Mismatch under Local Government Competition

2022

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The objective of this paper is to measure the efficiency loss of green innovation caused by local government competition and explore its causes and evolution characteristics. Based on the equimarginal principles such as the deviation of the allocation of green innovation output factors, this paper uses the panel data of China’s provinces (excluding Tibet, Hong Kong, Macao and Taiwan) from 2000 to 2020 and employs the spatial panel measurement model and the Kernel density estimation. The study finds that first, local government competition causes the mismatch of local innovation factors not only locally but also in neighboring regions. Second, the mismatch of innovative talents and capital caused by local government competition lowers the green innovation efficiency. Third, the shortage of innovative talents caused by local government competition is the main reason for the loss of green innovation efficiency in Beijing, Tianjin, and Shanghai. Fourth, the degree of efficiency loss of green innovation at the provincial level in China is heterogeneous in government competition strategies, and the loss due to tax competition is the most significant. Fifth, although the loss of green innovation efficiency generally decreases yearly, in the future, the institutional competition will still hinder the improvement of green innovation efficiency in the eastern, central and western regions of China. Our policy suggestions include promoting regional cooperation and cultivating innovative talents to further improve the efficiency of green innovation.

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“…Growing environmental pollution has caused major concern to population lives since the liberalization and deregulation, in tandem with rapid economic expansion (6)(7)(8)(9)(10)(11)(12). Wildfires in Australia and California, China's worst floods in decades, the first-ever heatwave in Antarctica with rising temperatures above 20 • C, microplastic discovered in Antarctic ice, and crop destruction by locusts swarming across parts of Africa, the Middle East, and Asia occurred in the year 2020 alone.…”

Section: Introductionmentioning

confidence: 99%

Human Health, Environmental Quality and Governance Quality: Novel Findings and Implications From Human Health Perspective

Zhang

Yang²,

Lin³

et al. 2022

Front. Public Health

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Human health and wellbeing are intimately linked to the state of the environment. The current study emphasizes the role of environmental quality, government policies, and human health. This paper provides a detailed literature review of existing findings regarding our key variables of interest. The results argue that the implications of poor government policies and environmental pollution for rising economic development have led to poor environmental quality and health issues for humans. Based on earlier investigations, the present study reviewed the state-of-the-art review and determined innovative insights for outdoor and indoor environment difficulties. This study provides a detailed review of human health, environmental quality, and governance quality. In addition, the study conducts an empirical analysis using the annual data of low-income countries from 1996 to 2020. Government actions and health systems must be modified immediately to address these rising concerns successfully. The report offers policy recommendations for addressing health, governance, and environmental change mitigation issues, all of which are directly or indirectly related to the study. This article presents an overview of environmental change's health impacts and explores how health hazards may be reduced or eliminated through effective adaptation strategies.

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Capital misallocation, technological innovation, and green development efficiency: empirical analysis based on China provincial panel data

Cited by 51 publications

References 83 publications

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

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

Causes and Evolution Characteristics of Green Innovation Efficiency Loss: The Perspective of Factor Mismatch under Local Government Competition

Human Health, Environmental Quality and Governance Quality: Novel Findings and Implications From Human Health Perspective

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