Exploring the Spatial Correlation Network Structure of Green Innovation Efficiency in the Yangtze River Delta, China

Wang, Keliang; Bian, Yajing; Cheng, Yun-He

doi:10.3390/su14073903

Cited by 10 publications

(9 citation statements)

References 56 publications

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“…The data of UCL area are from China Urban Construction Statistical Yearbook, and other data are from China Urban Statistical Yearbook. These datasets have been used in many studies, and a series of reliable findings have been obtained [34][35][36][37][38][39][40]. This proves that the datasets used in this study are valid and reliable.…”

Section: Data Sourcessupporting

confidence: 69%

Has Urban Construction Land Achieved Low-Carbon Sustainable Development? A Case Study of North China Plain, China

Wang

Xiao

2022

Sustainability

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The rapid expansion of urban construction land (UCL) provides a guarantee to support rapid economic development and meet the social needs of urban residents. However, urban construction land is also an important source of carbon dioxide emissions. Therefore, it is of great research value to investigate the relationship between UCL and carbon emissions in depth. Based on this, using panel data of 57 cities in the North China Plain from 2007 to 2018, the study found that there is a strong positive correlation between UCL and CO2 emissions. It can be seen that the expansion of UCL is an important source of CO2 emissions. On the basis of this research conclusion, first, this paper uses the Tapio decoupling model to analyze the decoupling relationship between UCL and carbon emissions in the North China Plain. Then, the spatial autocorrelation analysis was applied to explore the spatial correlation characteristics of the carbon emission intensity of UCL in cities in the North China Plain. Finally, using the GTWR model to analyze the influencing factors of the carbon emission intensity of UCL, the following conclusions were drawn. In 2007–2015, the decoupling relationship performed well, but it deteriorated significantly from 2015 to 2018; in addition, there was a significant positive spatial correlation of carbon emission intensity of UCL. Various influencing factors have a significant impact on the carbon emission intensity of UCL, for example, the urbanization rate, industrial structure, economic development level, and population density have a positive impact, and environmental regulations, foreign investment intensity, land use efficiency and greenery coverage have a negative impact. The research results of this paper provide a scientific basis for making decisions and optimizing pathways to achieve carbon emission reduction from UCL in the North China Plain, as well as certain reference values for other regions to achieve low-carbon development of UCL. This is significant for exploring the optimal solution of land and carbon emissions and building a harmonious human–land relationship.

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Section: Data Sourcessupporting

confidence: 69%

Has Urban Construction Land Achieved Low-Carbon Sustainable Development? A Case Study of North China Plain, China

Wang

Xiao

2022

Sustainability

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“…First, the Yangtze River Delta is a new key area for the reform and opening up policy in China and is one of the most economically developed areas in China, experiencing rapidly expanding economic and social development (Min, 2022; Qiu et al, 2020; Zhou et al, 2021). Besides, although the economy is growing quickly, the Yangtze River Delta is facing increasingly severe resource shortages and environmental problems (Wang et al, 2022; Zhou et al, 2021), which has forced enterprises to engage in green innovation and low carbon development. Additionally, the Yangtze River Delta is a pioneer in green innovation as its green innovation efficiency has exhibited steady growth in recent years (Zeng et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

How green value co‐creation mediates the relationship between institutional pressure and firm performance: A moderated mediation model

2022

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It is a crucial issue for enterprises to resolve environmental protection‐related institutional pressure along with the implementation of strict environmental policies and the enhancement of public environmental awareness. Thus, in this study, we surveyed 312 firms in the Yangtze River Delta of China to investigate the relationship among institutional pressure, green value co‐creation, and firm performance by applying a moderated mediation model. Results indicate that institutional pressure positively affects both green value co‐creation and firm performance, whereas green value co‐creation also has a positive effect on firm performance. Furthermore, green value co‐creation mediates the relationship between institutional pressure and firm performance. However, organizational inertia moderates the mediating effect of green value co‐creation on the correlation between institutional pressure and firm performance. These findings enhance our understanding of the relationship among institutional pressure, green value co‐creation, and firm performance, as well as providing implications for further research and practice.

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“…Wang et al used the super epsilon-based measure (super-EBM) to measure the green innovation efficiency of 26 cities in the Yangtze River Delta region of China from 2003 to 2018; they used the Moran index, centrality analysis, and a block model to investigate its spatial characteristics and empirically analyze its influencing factors. Their findings expanded the research on traditional innovation efficiency and provided theoretical guidance for formulating regional green innovation coordinated development policy [14]. Gao Xiaotong et al used the super epsilon-based measure (EBM) model that considers undesirable output to measure the GDE of China from 2000 to 2018 by constructing the evaluation index system of GDE.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Spatial Correlation Evolution of Marine Ecological Efficiency Based on Social Network and Spatial Correlation Matrix Model

Zhang

Wang

2023

Sustainability

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Most developed countries in the world are maritime powers. This article constructs an ecological efficiency evaluation system based on the characteristics of the ocean itself while taking into account the relationship between land and sea. Based on social network analysis, the relationship between China’s marine ecological efficiency is regarded as a social network system, and the roles and positions played by 11 coastal cities in the network are analyzed from a relational perspective. Next, based on the unexpected super efficiency model to measure the ocean efficiency value in China’s coastal areas, we explore its spatiotemporal evolution characteristics, and measure the ocean ecological efficiency while incorporating ecological environmental pollution as an unexpected output into the evaluation system. Then, the spatial incidence matrix of marine ecological efficiency is calculated through the modified gravity model, and the characteristics of network structure are described with the help of the social network method. In addition, ArcGIS software is used to visualize the spatial evolution process. Finally, QAP regression is used to explore the key factors affecting the spatial correlation network of marine ecological efficiency in China. The results show the following: (1) In terms of time, the marine eco-efficiency of most provinces is not high, and the difference between provinces is obvious, but on the whole, it shows a fluctuating upward trend. (2) From the perspective of space, the overall displacement of the center of marine eco-efficiency in China is large in the north–south direction and small in the east–west direction, and the center of marine eco-efficiency is always concentrated near the Yangtze River Delta. (3) On the whole, the spatial correlation network of China’s marine eco-efficiency is becoming more and more complex. The number of correlation relationships and network density is increasing, and the network framework is gradually maturing. The spatial adjacency matrix, the difference in economic development level, and the difference in population distribution level can significantly promote the formation and development of the spatial correlation network of marine eco-efficiency. However, the differences in the level of opening to the outside world and in the structure of marine industries restrain their spatial networks. The difference between marine science and technology levels is not significant.

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Exploring the Spatial Correlation Network Structure of Green Innovation Efficiency in the Yangtze River Delta, China

Cited by 10 publications

References 56 publications

Has Urban Construction Land Achieved Low-Carbon Sustainable Development? A Case Study of North China Plain, China

Has Urban Construction Land Achieved Low-Carbon Sustainable Development? A Case Study of North China Plain, China

How green value co‐creation mediates the relationship between institutional pressure and firm performance: A moderated mediation model

Research on Spatial Correlation Evolution of Marine Ecological Efficiency Based on Social Network and Spatial Correlation Matrix Model

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