Abstract:Green technology innovation offers a new dynamic support and realization path for the comprehensive transformation and upgrading of the digital economy and intensive development mode. The study of green technology’s coupled and coordinated development and evolution with the digital economy is conducive to promoting the quality and efficiency of the digital economy. With the aid of the coupling coordination degree, nuclear density, and the Gini coefficient, this paper develops a digital economy and green techno… Show more
“…The Pearl River Delta urban agglomeration had the highest coupling coordination level, followed by the Yangtze River Delta urban agglomeration and the Beijing-Tianjin-Hebei urban agglomeration, both in a mild disordered state. These findings are consistent with Zhang and Yin 8 , Zhang et al 30 , the digital economy is underdeveloped and lacks the capacity to efficiently integrate its digital components into the green technology innovation system. There is still scope for enhancing the coordinated advancement of the digital economy and innovative green technology.…”
Section: Empirical Results and Analysissupporting
confidence: 91%
“…The coupling model of digital economy and green technology innovation constructed in this paper calculates the development and coupling degree of digital economy and green technology innovation in China from 2011 to 2020, and promotes the coordinated development of digital economy and green technology innovation based on the coupling model. The calculation results are basically consistent with the literature 6 , 30 , 40 , 50 . The calculation results show that the overall degree of coupled and coordinated development of digital economy and green technology innovation in China maintains a continuous improvement, but the spatial difference is significant.…”
Section: Discussionsupporting
confidence: 91%
“…Some researchers utilise the Dubin model, coupling coordination degree model, and exploratory spatial analysis method to examine the impact of digital economic industry segmentation on green technology innovation. They also measure the degree of coupling coordination development and spatial effect between the two 30 .…”
This paper examines the coupling coordination degree between digital economy and green technology innovation in 19 urban agglomerations across China from 2011 to 2020. Through the analysis of the coupling coordination degree model, spatial autocorrelation, multi-distance spatial clustering analysis, kernel density analysis and grey correlation model, this study uncovers the mechanism of coupling between digital economy and green technology in Chinese urban agglomerations. Data analysis revealed a significant increase in the coupling coordination between the digital economy and green technology innovation within urban agglomerations. However, there are noticeable spatial imbalances in this trend. Additionally, the multi-distance spatial distance analysis highlights a shift from a random distribution to a clustered distribution of spatial characteristics. The polarization features vary among each urban agglomeration and exhibit a significant positive spatial correlation. Factors such as economic sustainability, creative talent, policy support, digital impetus, and technological support will affect the coupling mechanism of green technology innovation and the digital economy in China's urban agglomerations. Policy recommendations are proposed to foster the development of the digital economy, promote coordinated growth within and beyond urban clusters, and ultimately build a digital ecological civilization that is both green and intelligent.
“…The Pearl River Delta urban agglomeration had the highest coupling coordination level, followed by the Yangtze River Delta urban agglomeration and the Beijing-Tianjin-Hebei urban agglomeration, both in a mild disordered state. These findings are consistent with Zhang and Yin 8 , Zhang et al 30 , the digital economy is underdeveloped and lacks the capacity to efficiently integrate its digital components into the green technology innovation system. There is still scope for enhancing the coordinated advancement of the digital economy and innovative green technology.…”
Section: Empirical Results and Analysissupporting
confidence: 91%
“…The coupling model of digital economy and green technology innovation constructed in this paper calculates the development and coupling degree of digital economy and green technology innovation in China from 2011 to 2020, and promotes the coordinated development of digital economy and green technology innovation based on the coupling model. The calculation results are basically consistent with the literature 6 , 30 , 40 , 50 . The calculation results show that the overall degree of coupled and coordinated development of digital economy and green technology innovation in China maintains a continuous improvement, but the spatial difference is significant.…”
Section: Discussionsupporting
confidence: 91%
“…Some researchers utilise the Dubin model, coupling coordination degree model, and exploratory spatial analysis method to examine the impact of digital economic industry segmentation on green technology innovation. They also measure the degree of coupling coordination development and spatial effect between the two 30 .…”
This paper examines the coupling coordination degree between digital economy and green technology innovation in 19 urban agglomerations across China from 2011 to 2020. Through the analysis of the coupling coordination degree model, spatial autocorrelation, multi-distance spatial clustering analysis, kernel density analysis and grey correlation model, this study uncovers the mechanism of coupling between digital economy and green technology in Chinese urban agglomerations. Data analysis revealed a significant increase in the coupling coordination between the digital economy and green technology innovation within urban agglomerations. However, there are noticeable spatial imbalances in this trend. Additionally, the multi-distance spatial distance analysis highlights a shift from a random distribution to a clustered distribution of spatial characteristics. The polarization features vary among each urban agglomeration and exhibit a significant positive spatial correlation. Factors such as economic sustainability, creative talent, policy support, digital impetus, and technological support will affect the coupling mechanism of green technology innovation and the digital economy in China's urban agglomerations. Policy recommendations are proposed to foster the development of the digital economy, promote coordinated growth within and beyond urban clusters, and ultimately build a digital ecological civilization that is both green and intelligent.
“…Li and Feng examined the coupled coordination relation between innovation and DE development in the four strategic regions of China [18]. A great number of research methods have been utilized in the study of coupling and coordination relations, including methods such as kernel density estimation, Markov chain, and Dagum Gini coefficient decomposition [18,19].…”
The urban agglomeration in the middle reaches of the Yangtze River holds a crucial strategic position in China’s economic and social development landscape. Exploring the coordinated development effects within the digital economy and innovation in this area is conducive to promoting the development of the central region of China and the Yangtze River Economic Belt. This paper uses the 28 sample cities in urban agglomeration in the middle reaches of the Yangtze River as the study sample, and constructs a digital economy indicator system and an urban innovation efficiency indicator system. Based on the coupling coordination degree model, we use kernel density estimation, the Markov chain algorithm, and the Dagum Gini coefficient decomposition method to empirically investigate the dynamic trends in coupling coordination development between the digital economy and urban innovation efficiency from 2012 to 2021. The research results reveal an overall upward trend in the digital economy, innovation efficiency, and coupling coordination development stages. However, the upward trend is accompanied by the risk of recession. Moreover, there are significant differences between cities, as highlighted by the differences between Wuhan and other cities. In the light of the findings, it is recommended that government departments take measures, including being alert to the risk of regressive development, developing cities in a realistic manner, and drawing on the experiences of outstanding cities in development. This research can provide new insights and empirical references for government entities to take measures for a more coordinated development of the digital economy and innovation efficiency in the urban agglomeration in the middle reaches of the Yangtze River.
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