Digital Economy Development and the Urban–Rural Income Gap: Intensifying or Reducing

Jiang, Qi; Li, Yihan; Si, Hongyun

doi:10.3390/land11111980

Cited by 43 publications

(17 citation statements)

References 43 publications

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“…Therefore, China employs various methods such as recruitment, training, and providing financial support to attract excellent teachers to teach in rural schools. Furthermore, with the development of the digital economy (Jiang et al, 2022), digital learning resources and distance education services are being provided (Zhang et al, 2017) to compensate for the relative lack of educational resources in rural schools. This series of measures has contributed to the gradual reduction of the urban-rural education resource gap.…”

Section: Discussion Of Differential Analysis Resultsmentioning

confidence: 99%

Research on the impact of the socio-educational environment on the academic performance of college students: the mediating role of study motivation

Wang,

Han,

et al. 2024

Front. Psychol.

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BackgroundEnhancing the academic performance (AP) of college students can contribute to the overall scientific literacy among this population, thereby fostering societal progress.ObjectiveThe study investigates the correlation between college students’ AP and the socio-educational environment (SEE, including family, roommates, and teachers), study motivation (SM, including self-efficacy and study behaviors). Based on the research findings, recommendations are offered to students, educators, and school administrators.SettingsUtilizing a stratified sampling approach, data was collected by selecting a sample of 330 first-year computer science students from a specific local university in Hebei Province, China.MethodsData will be collected through a hierarchical sampling method. Using correlation analysis, difference analysis, and structural equation modeling (SEM) as data analysis methods. The data passed reliability and validity analysis (Cronbach’s Alpha = 0.88, KMO = 0.88, χ2/df = 1.49RMSEA = 0.04).ResultsThe independent sample T-test results showed that female students had higher academic performance than male students (p < 0.001), and there was no significant difference in academic performance between students from single parent or orphan families and students from normal families (p = 0.14), from non urban areas and from urban areas (p = 0.67). The results of the mediating effect analysis indicate that SM exerts complete mediation in the association between SEE and AP, with a mediating effect value of 0.18.ConclusionThe educational disparity between urban and rural areas in China is gradually narrowing. Support policies for students from impoverished families in higher education institutions are showing initial effectiveness. The conducive learning environment and educational atmosphere for students can indirectly influence their psychological state, thus impacting their academic performance during their university years.

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Section: Discussion Of Differential Analysis Resultsmentioning

confidence: 99%

Research on the impact of the socio-educational environment on the academic performance of college students: the mediating role of study motivation

Wang,

Han,

et al. 2024

Front. Psychol.

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“…This has in turn reduced the urban-rural wage gap and further decreased the income disparity between them. Looking from a long-term standpoint, however, further development of the digital economy can lead to the opposite result in the future [37]. More specifically, the level of knowledge and the technical skills that will be required in the future will increase together with digital improvement, which will then leave the low-skilled labourers to face the double risk of losing employment opportunities due to possibly being substituted by artificial intelligence or their insufficient levels of digital literacy.…”

Section: Literature Reviewmentioning

confidence: 99%

Does the Digital Economy Promote Coordinated Urban–Rural Development? Evidence from China

Cheng

Zheng

2023

Sustainability

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Urban–rural coordination development is a key factor in achieving sustainable development. The research sample consisted of panel data for 30 provinces in China for the period from 2011 to 2020. Our aim was to investigate whether and how the digital economy affects coordinated urban–rural development by using a panel data model, a spatial Durbin model (SDM), and a mediating effects model. The results indicate that (1) the growth of the digital economy has increased the level of coordinated urban–rural development directly and indirectly; (2) the coordinated development of urban and rural areas and the spatial distribution of the digital economy are highly correlated, with eastern regions generally experiencing a high level of agglomeration and central and western regions having a low level of agglomeration; (3) the digital economy can promote coordinated urban–rural development by reducing the income gap between urban and rural areas; and (4) the direct and the spatial promotion effects of digital economy development on coordinated urban–rural development appear to be stronger in the eastern region, insignificant in the central region, and to have a significant direct inhibition, as well as a significant spatial spillover effect, in the western region. This study provides a reference for China and other developing countries similar to China on how to promote coordinated urban and rural development in the development process of the digital economy.

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“…As the neo-classical economic theory implies, higher incomes and better employment opportunities will drive population migration [4,73]. As a result, a reverse migration of the population began to take place, i.e., a large number of young people who had moved from rural areas to urban areas returned to the countryside [74].…”

Section: Reverse Migration and Social Changes Associated With Digital...mentioning

confidence: 99%

Enabling In-Situ Urbanization through Digitalization

Li,

Song

2023

Land

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The bourgeoning of e-commerce in the context of the information era has accelerated the urbanization trend by broaching a new horizon of economic and industrial boosters for rural places, epitomized by a great number of “Taobao Villages” in China. This paper has two objectives: (1) explore the process and mechanism of digitalization enabling rural in-situ urbanization represented by e-commerce; (2) nuance the specific case evidence of Daiji Town, where digitalization enabled in-situ urbanization recently. We build up a theoretical framework for digitalization-enabled in-situ urbanization from the juxtaposition of four interlinked elements: industry, talent, rural governance, and land use. It then analyzed the details and evidence of digitalization enabling rural in-situ urbanization through the case study of Daiji Town. The main conclusions of this paper are as follows: First, digitalization plugs rural areas into production and consumption networks in wider contexts, promoting the transformation and prosperity of rural economies. Secondly, the reverse migration of young generations to rural areas becomes the key to rural in-situ urbanization. Thirdly, digitization materializes the urbanization of rural spaces. Finally, digitalization enables the rural transformation and improvement of urban-rural relations in the Global South, which needs to be further explored.

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Digital Economy Development and the Urban–Rural Income Gap: Intensifying or Reducing

Cited by 43 publications

References 43 publications

Research on the impact of the socio-educational environment on the academic performance of college students: the mediating role of study motivation

Research on the impact of the socio-educational environment on the academic performance of college students: the mediating role of study motivation

Does the Digital Economy Promote Coordinated Urban–Rural Development? Evidence from China

Enabling In-Situ Urbanization through Digitalization

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