The impact of biased technology on employment distribution and labor status in income distribution

Wang, Linhui; Zhao, Jing; Sun, Jutang; Dong, Zhiqing

doi:10.1108/cms-07-2018-0615

Cited by 5 publications

(2 citation statements)

References 71 publications

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“…The digital economy has contributed to the transformation of agriculture and the liberation of rural laborers (Wang et al, 2020). As urban areas have capital and technological advantages, the digital economy, with information technology as a key element, has become an important force driving cities' economic growth (Zhang et al, 2022).…”

Section: A Theoretical Framework Based On "Rlc" and "Rpu"mentioning

confidence: 99%

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Does the development of digital economy infrastructure reduce the urban-rural income gap? Theoretical experience and empirical data from China

Jiang

Jin

2023

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PurposeSince 2017, China's digital economy has accounted for more than 30% of the country's GDP. The digital economy has become the main driving force of China's economic development. Moreover, the digital economy has also changed the traditional modes of production and distribution between urban and rural areas. This paper aims to explore the influential mechanism of digital economy infrastructure (DEI) on the urban-rural income gap (URIG).Design/methodology/approachBy analyzing the theoretical model of the URIG, this paper constructs a theoretical analysis framework and clarifies the key roles of rural land circulation (RLC) and resident population urbanization (RPU) in the relationship between DEI and the URIG.FindingsThe DEI can effectively reduce the URIG; the regression coefficient (RC) was −0.109. The reduction effect is mainly reflected in: 1) the wage income gap between urban and rural residents (RC = −0.128) and 2) the net property income gap of urban and rural residents (RC = −0.321). Also, for the spatial spillover effect, the path effect of “DEI – RLC – URIG” is almost equal to the path effect of “DEI – RPU – URIG”; for the local effect, the path effect of the former is far smaller than the latter. Moreover, when the RPU reaches the threshold of 86.29%, the DEI will expand the URIG (RC = 0.201).Originality/valueThis paper proposes a theoretical framework for the impact of DEI on the URIG, explores the mechanism of RLC and RPU in the DEI and URIG and enriches the theory of traditional research on URIG.

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Section: A Theoretical Framework Based On "Rlc" and "Rpu"mentioning

confidence: 99%

“…The digital economy has contributed to the transformation of agriculture and the liberation of rural laborers (Wang et al. , 2020).…”

Section: Theoretical Mechanismmentioning

confidence: 99%

Does the development of digital economy infrastructure reduce the urban-rural income gap? Theoretical experience and empirical data from China

Jiang

Jin

2023

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Multidimensional modeling of regions by employment and socio-economic development

Salimova

Sagadeeva

2023

E3S Web of Conf.

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Employment is essential for development. Employment can increase income of people and household, reduce inequality. Employment promote economic growth and promote stability of country. We carried out a comprehensive analysis, which reflected the situation and the connection with the market of labour force (particularly population employment), the population's standard of living (particularly its income). Scientists today make efforts to study the lasting aspects, facts of employment and the state of the labour in general. An empirical distribution of the studied regions into 3 clusters was made. It is possible to obtain sufficiently high production results and, consequently, increase the population's standard of living. Cluster 1 regions are encouraged to more actively introduce new technologies and scientific developments into the production process. The regions of cluster 3 are recommended to adopt the experience of organizing the management of production processes, technological changes. How the population will live today depends on production and management, including the labour market. The research defines the directions for future research.

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The impact of Smart city construction on labour spatial allocation: Evidence from China

Zhou

Yan

2023

Applied Economics

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The impact of biased technology on employment distribution and labor status in income distribution

Cited by 5 publications

References 71 publications

Does the development of digital economy infrastructure reduce the urban-rural income gap? Theoretical experience and empirical data from China

Does the development of digital economy infrastructure reduce the urban-rural income gap? Theoretical experience and empirical data from China

Multidimensional modeling of regions by employment and socio-economic development

The impact of Smart city construction on labour spatial allocation: Evidence from China

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