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 11 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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“…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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“…To achieve the ultimate goal of rural revitalization, there is a need to actively recruit and employ highly qualified, This allows more businesses to leverage their strengths, create large-scale industry chains with agglomeration effects [13], and bolster the development of distinct digital economic industries, ultimately promoting sustainable rural revitalization and distinctive economic development.…”

Section: Professionals To Support Rural Revitalizationmentioning

confidence: 99%

Unlocking Rural Revitalization through the Digital Economy: A Journey of Exploration

Yuan

2024

SHS Web Conf.

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Digital economy, centered around information technology, encompasses digital content, digital industries, digital commerce, and represents a new global economic form. Its application can bring about new development opportunities and enhance efficiency. Rural revitalization is an important recent national strategy aimed at strengthening economic, social, and ecological aspects of rural development, promoting sustainable urban-rural integration. This involves the development of agriculture, rural infrastructure, the creation of beautiful rural landscapes, and ensuring the livelihood of rural residents. The digital economy plays a crucial role in rural revitalization, relying on information technology and employing digitalization, networking, and intelligence to drive industrial transformation, enhance efficiency, and promote innovation, thus forming a new economic model. Specifically in rural areas, the digital economy builds rural e-commerce platforms, offering new sales channels for farmers, creating smart agricultural ecosystems, establishing environmentally friendly foundations for sustainable agriculture, and upgrading rural financial services through digitization, optimizing the allocation of rural financial resources. This accelerates the digitization of rural tourism development and spurs the growth of surrounding rural service industries. Therefore, the digital economy holds significant practical importance for rural revitalization.

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

Cited by 11 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

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

Unlocking Rural Revitalization through the Digital Economy: A Journey of Exploration

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