Evolution and Influencing Factors of the Green Development Spatial Association Network in the Guangdong-Hong Kong-Macao Greater Bay Area

Zhao, Feng; Chen, Zinan; Cai, Hechang

doi:10.3846/tede.2022.16618

Cited by 6 publications

(3 citation statements)

References 42 publications

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“…The author proposed the National Green Economy Index based on 11 levels (environmental quality, GDP, green agriculture, green tourism, energy intensity) to measure Azerbaijan's green development level. Li et al (2020) and Feng et al (2022) used a data envelopment analysis model to evaluate green development. In summary, based on the theoretical perspective of green development policies, most scholars and institutions measure a country's green economic progress based on the economic, environmental, policy, and resource levels using the economy as a whole.…”

Section: Green Economymentioning

confidence: 99%

Export Diversification and the Green Economy: The Key Role of Economic Risk

Xing

Lee

2023

Technological and Economic Development of Economy

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As countries propose to develop their green economy strategies to achieve sustainable development goals, many researchers and practitioners have analyzed the various factors affecting this special economy and how export diversification impacts the environment. However, there is limited knowledge about the link between export diversification and the green economy. Thus, this research study explored the impact of such diversification on the green economy by considering the role of economic risk. A new dynamic panel threshold approach was applied to the global panel data of 112 countries from 1995 to 2014. The results support the U-shaped correlation between export diversification and the green economy with an increase in economic risk. Export diversification tends to weaken the green economy when economic risk is at lower levels, but it improves the economy after reaching a certain level of economic risk. We also found that the green economy has a persistent effect over time. Under all economic risk levels, the previous level of green economy development promotes current green economy development. These findings thus provide policymakers with crucial implications.

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Section: Green Economymentioning

confidence: 99%

Export Diversification and the Green Economy: The Key Role of Economic Risk

Xing

Lee

2023

Technological and Economic Development of Economy

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“…Radcliffe-Brown (1940), an anthropologist, described the social structure as the "network of social relations", which is regarded as the origin of SNA conceptualization. SNA focuses on networks whose nodes are social entities like nations, organizations, and individuals (Hsu et al, 2020;Feng et al, 2022). Accordingly, the edge of the networks corresponds to a certain connection or relation between social entities.…”

Section: Social Network Analysismentioning

confidence: 99%

Applications of Social Network Analysis in Promoting Circular Economy: A Literature Review

Liao,

Wu,

Liu

et al. 2023

Technological and Economic Development of Economy

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Circular economy (CE) is a sustainable alternative to tackle global challenges like climate change, waste, and pollution. The relations, perceptions and behaviors of stakeholders in circular economic activities may form barriers that hinder the circular transition. The promotion of CE requires investigating the interactions and information flow between CE stakeholders from a network perspective. This study revisits the applications of social network analysis (SNA) in promoting CE. Related concepts of CE and the research contents of SNA are reviewed. A bibliometric analysis is conducted to provide a bird’s eye on the research status and trend. On this basis, we summarize the challenges of promoting CE and refine specific problems, around which we review the research status of network modeling methods and statistical measures, information diffusion models, mining methods of perceptions, and social influence analysis. This study outlines the pathways through which SNA contributes to promoting CE, such as through revealing the relational structure and characteristics of stakeholders, forming and changing perceptions of stakeholders, improving behaviors of stakeholders, and examining the development of CE. The lessons learned from the review and future prospects are extensively discussed in combination with the features of the information age from both theoretical and practical perspectives.

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“…The improvement in people's living standards has made them pay greater attention to the quest for an excellent quality of life. As the main carrier of regional innovation and economic development, cities have assumed unprecedented historical missions and contemporary responsibilities on the way to implement the new development concept and achieve sustainable development goals, and how to accelerate the construction of innovative cities, specialize urban functions, and build high-quality cities has become the focus of scholars at home and abroad [1][2][3][4]. At present, China's economy has shifted to the stage of high-quality development, facing the two-way bottleneck of "neck" technology and innovation system and mechanism reform, which puts forward objective requirements for the coordinated development of urban quality and technology innovation in the new era.…”

Section: Introductionmentioning

confidence: 99%

Spatial-temporal differences and influencing factors of coupling coordination between urban quality and technology innovation in the Guangdong-Hong Kong-Macao Greater Bay Area

Yang,

Wu,

Wang

et al. 2023

PLoS ONE

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The coordinated development of urban quality and technology innovation is an important element of China’s technology innovation development strategy in the new era. Based on entropy TOPSIS, coupling coordination models, the gravity center and standard deviation ellipse method, the geographic probe, the GWR, and other methods, we explore the spatial variation and influencing factors of the coupling coordination relationship between urban quality and technology innovation in the Guangdong-Hong Kong-Macao Greater Bay Area from 2011 to 2020. It is found that: (1) the spatial distribution of the coupling coordination shows a characteristic of "high in the middle and low in the surroundings," and (2) the level of benign interaction in the central region is becoming more prominent. The center of gravity of coupling coordination moves toward the northeast, and the standard deviation ellipse shows a contraction trend away from the southwest. (3) Agglomeration capacity, human capital, cultural development, and infrastructure can significantly drive the improvement of the coupling coordination of urban quality and technology innovation, and the two-factor influence is significantly increased after the interaction. (4) The feedback effects of the coupling and coordination states of different cities on each factor have significant spatial differences and show the characteristics of hierarchical band distribution.

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Evolution and Influencing Factors of the Green Development Spatial Association Network in the Guangdong-Hong Kong-Macao Greater Bay Area

Cited by 6 publications

References 42 publications

Export Diversification and the Green Economy: The Key Role of Economic Risk

Export Diversification and the Green Economy: The Key Role of Economic Risk

Applications of Social Network Analysis in Promoting Circular Economy: A Literature Review

Spatial-temporal differences and influencing factors of coupling coordination between urban quality and technology innovation in the Guangdong-Hong Kong-Macao Greater Bay Area

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