Spatial and temporal effects of China’s digital economy on rural revitalization

Zhou, Xiangjun; Du, Meng; Dong, Hai

doi:10.3389/fenrg.2023.1061221

Cited by 8 publications

(6 citation statements)

References 54 publications

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“…Comparing the two figures, it can be found that: firstly, from 2011 to 2021, the level of IE in each province has been increasing, and the inter-provincial gap has been decreasing. This suggests that China's policy initiatives for IE have achieved some success, and the digital economy can effectively reduce regional disparities (Zhou et al, 2023), which is consistent with the findings of (Zhang et al, 2022). The spatial distribution of IE shows the trend of "decreasing from the east to the west", and regional disparities are reduced over time, which is similar to the results of the study of (Wu et al, 2023).…”

Section: The Time Evolution and Spatial Distribution Of Ie And Cesupporting

confidence: 86%

The spatial effect of integrated economy on carbon emissions in the era of big data: a case study of China

Wang,

Ke,

Lei

2024

Front. Ecol. Evol.

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The digital economy has the characteristics of resource conservation, which can solve China’s high carbon emissions problems. The digital economy can quickly integrate with the real economy, forming an integrated economy. However, it is still unclear whether an integrated economy can effectively reduce carbon emissions and achieve China’s ‘dual carbon goals’. Therefore, this study takes 30 provinces in China as the research object, constructs the integration economy index system through the statistical data from 2011-2021, and explores the spatial effect of the impact of the integration economy on carbon emissions by using principal component analysis, coupled coordination model and spatial econometric model. The research results are as follows. (1) From 2011 to 2021, the comprehensive economy showed a trend of increasing yearly (from 0.667 to 0.828), and carbon emissions showed a slow decrease (from 0.026 to 0.017). (2) Due to the infiltration of China’s economic development from the eastern to the western, the spatial distribution of the integrated economy shows a decreasing trend from east to west. The spatial distribution of carbon emissions may be related to China’s industrial layout of heavy industry in the northern, and light industry in the southern, showing a trend of low in the south and high in the north. (3) The integrated economy can significantly reduce carbon emissions (the coefficients of influence, -0.146), and the reduction effect will be more obvious if spatial spillover effects are taken into account (-0.305). (4) The eastern coast, the middle reaches of the Yangtze River, and the middle reaches of the Yellow River economic zones all increase carbon emissions at a certain level of significance (0.065, 0.148, and 3.890). The Northeast, South Coastal and Southwest economic zones significantly reduce carbon emissions (-0.220, -0.092, and -0.308). The results of the Northern Coast and Northwest are not significant (-0.022 and 0.095). (5) China should tailor regional economic development policies, such as strengthening investment in digital infrastructure in the Northwest Economic Zone and fully leveraging the spatial spillover effects of integrated economy in the Northeast, Southern Coastal, and Southwest Economic Zones to reduce carbon emissions.

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Section: The Time Evolution and Spatial Distribution Of Ie And Cesupporting

confidence: 86%

The spatial effect of integrated economy on carbon emissions in the era of big data: a case study of China

Wang,

Ke,

Lei

2024

Front. Ecol. Evol.

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“…The digital economy has become an economy of new business models and new markets [1]. In some studies, the digital economy has been linked to various issues, such as labor [2][3][4][5][6], carbon emissions [7][8][9][10][11], population aging [12,13], artificial intelligence [14,15], foreign trade [16][17][18], and rural revitalization [19,20]. Under the continuous influence of Corona Virus Disease 2019, there are uncertainties in the global economic recovery.…”

Section: Introductionmentioning

confidence: 99%

Research on the Influence of Digital Economy on Technological Innovation: Evidence from Manufacturing Enterprises in China

Wang

Wei

2023

Sustainability

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Digital economy is a key breakthrough in the new round of the industrial revolution, and technological innovation is the key to economic growth and wealth creation by enterprises. The influence of the digital economy on the innovation of manufacturing enterprises is directly related to solving the problem of inadequate development. Therefore, it is of great theoretical value and practical significance to study the influence of the digital economy on enterprise technological innovation. Taking Chinese manufacturing companies during 2016–2020 as a sample, this paper measured the technological innovation level of enterprises by the quantity and quality of innovation output of manufacturing enterprises and measured the development degree of the digital economy by the four dimensions of digital economy infrastructure, digital industrialization, industrial digitalization, and digital governance. The influence of the digital economy on enterprise technological innovation was researched through the Moran index and panel regression model. Moran’s indexes were all greater than 0, and the data were concentrated in the first and third quadrants of the scatter chart, and the value dropped from 0.186 to 0.152, indicating that provincial digital economic development presents a phenomenon of aggregation in spatial distribution, which gradually decreases along the eastern coast to the western region and gradually moves from aggregation to dispersion. The regression coefficients are significant at least at the level of 10%, indicating that the digital economy can effectively promote the output quantity and quality of technological innovation in manufacturing enterprises. The digital economy has a double-promotion effect on technological innovation. In promoting the technological innovation of manufacturing enterprises, infrastructure, digital industrialization, and industrial digitization play a dual and positive role as well as digital governance. In addition, the digital economy and its four dimensions have a first-order and second-order time-lag effect, which has a double-promotion effect on enterprises’ technological innovation. In general, the digital economy can promote enterprise technological innovation.

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“…Based on the above analysis, this study develops an evaluation system for sustainable rural development from three aspects: the living conditions of rural residents, the level of agricultural production, and the level of rural environment. The study fully incorporates previous research results [42,43] and selects 27 indicators. The specific indicators are presented in Table 2.…”

Section: Sustainable Rural Developmentmentioning

confidence: 99%

Spatial-Temporal Variations and Driving Factors of the Coupling and Coordination Level of the Digital Economy and Sustainable Rural Development: A Case Study of China

Nong,

Wen,

2024

Agriculture

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Sustainable rural development forms a robust foundation for economic and social sustainability. Moreover, the digital economy acts as a catalyst for advancing rural sustainable development by altering the distribution of production factors. Thus, this study concentrates on 30 provinces in China, constructing an evaluation index system for both the digital economy and rural sustainable development. The study employs various methods and models to analyze the spatiotemporal changes and driving factors affecting the coupling and coordination between these two aspects. The research findings are as follows: the coupling and coordination levels among provinces in China have been on the rise year by year. By 2022, the coupling and coordination levels of most provinces range between 0.5 and 0.6. Regional disparities are the primary determinant of the poor overall coupling and coordination level in China. In 2022, the coupling and coordination level in the eastern region is 0.6663, compared to 0.5420 in the central region and 0.5087 in the western region. Factors such as urbanization, industrial structure transformation, technological innovation, higher education, economic development, and government support significantly influence the coupling and coordination level. Nevertheless, their effects vary across regions, with a more pronounced impact in the eastern region than in the central and western regions. Therefore, this paper proposes policy recommendations, including infrastructure optimization, rural digitization promotion, regional resource allocation enhancement, cross-regional development mechanism exploration, and differentiated development strategy implementation.

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Spatial and temporal effects of China’s digital economy on rural revitalization

Cited by 8 publications

References 54 publications

The spatial effect of integrated economy on carbon emissions in the era of big data: a case study of China

The spatial effect of integrated economy on carbon emissions in the era of big data: a case study of China

Research on the Influence of Digital Economy on Technological Innovation: Evidence from Manufacturing Enterprises in China

Spatial-Temporal Variations and Driving Factors of the Coupling and Coordination Level of the Digital Economy and Sustainable Rural Development: A Case Study of China

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