Does the Development of the Digital Economy Promote Common Prosperity?—Analysis Based on 284 Cities in China

Chen, Li; Zhang, Yuanbo

doi:10.3390/su15054688

Cited by 17 publications

(10 citation statements)

References 32 publications

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“…The control variables in this article include the following, The degree of openness to the outside world (Open) is indicated by the ratio of total import and export to GDP [66]. Research investment intensity (RI) is indicated by the proportion of R&D expenditure to GDP; the greater the research investment intensity, the stronger the regional emphasis on science and technology, and the more it can promote technological progress and affect the URIG [67]. Infrastructure level (Infra) is measured by the ratio of the number of road mileage owned by each province to the area of each province and region, and the increase in the level of transportation infrastructure is conducive to the mobility of labor factors, thus affecting the URIG [68].…”

Section: Control Variablesmentioning

confidence: 99%

Global Value Chain Participation, Employment Structure, and Urban–Rural Income Gap in the Context of Sustainable Development

Liu,

Tang,

Zhao

2024

Sustainability

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Currently, the trend of globalization is evident, and global value chain participation has had a significant impact on the urban–rural income gap in China. This article takes sustainable development as the background and constructs a theoretical mechanism for the impact of global value chain participation on the urban–rural income gap and uses a two-way fixed effects model to empirically test data from 30 provinces in China from 2005 to 2014. Research finds that global value chain participation significantly widens the urban–rural income gap. Compared to the central and western regions, the participation of the eastern region in the global value chain has a more significant effect on widening the urban–rural income gap. Further research has found that employment structure plays a partial mediating role in the process of global value chain participation in widening the urban–rural income gap. The factor endowment structure and industrial structure upgrading can significantly strengthen the mechanism of global value chain participation in optimizing the employment structure. This article’s research findings have significant practical implications for reducing the income gap between urban and rural areas and fostering sustainable development in both.

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Section: Control Variablesmentioning

confidence: 99%

Global Value Chain Participation, Employment Structure, and Urban–Rural Income Gap in the Context of Sustainable Development

Liu,

Tang,

Zhao

2024

Sustainability

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“…Finally, the realization of the strategy of common prosperity relies on three critical paths: vigorous economic development, continuous narrowing of the gap between the rich and the poor, and ensuring that people share the fruits of development 11 . ① Economic development: The core of the common prosperity strategy is to promote sustained economic growth.…”

Section: The Influence Mechanism Of Common Prosperity On Carbon Emiss...mentioning

confidence: 99%

Regional common prosperity level and its spatial relationship with carbon emission intensity in China

Zhao,

Long,

Yin

2023

Sci Rep

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The characteristics of common prosperity include harmonious relationships between humans and the environment, as well as sustainable economic and social growth. The process of achieving common prosperity will necessarily have an impact on carbon emissions. In this article, panel statistics collected from 30 Chinese provinces and cities between the years 2006 and 2020 are utilized to assess the level of common prosperity and the intensity of carbon emissions in China. Then the SDM model is applied to explore the effects of the common prosperity level on the intensity of carbon emissions. The findings reveal that: (i) The common prosperity level in China has shown an increasing tendency. Between 2006 and 2020, the mean level of common prosperity increased from 0.254 to 0.486. From the regional perspective, eastern China has seen greater levels of common prosperity than central China, while central China has experienced greater levels of common prosperity than western China; regional disparities in the degree of common prosperity are substantial among Chinese provinces from 2006 to 2020; the common prosperity level is relatively high in economically developed provinces and relatively low in economically backward provinces. (ii) China's carbon emission intensity shows a continuous downward tendency. The annual average intensity of China's carbon emissions decreased from 4.458 in 2006 to 2.234 in 2020. From the regional perspective, the three main regions' carbon emission intensity likewise exhibits a decline in tendency between 2006 and 2020; still, western China continues to have the greatest carbon emission intensity, following central China, while eastern China has the smallest; however, certain provinces, notably Inner Mongolia and Shanxi, continue to have high carbon emission intensity. (iii) China's common prosperity level and carbon emission intensity both exhibit positive spatial autocorrelation at a 1% significant level under the adjacency matrix. The spatial agglomeration effect is significant, and adjacent provinces can affect each other. (iv) The SDM (Spatial Durbin Model) model test with fixed effects finds that the increase in the level of common prosperity suppresses the intensity of carbon emissions in the local area and neighboring regions. (v) The mediating effects model indicates that the process of common prosperity suppresses carbon emission intensity through high-quality economic development, narrowing the income disparity, and the development of a sharing economy.

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“…The higher an individual's social capital, the more conducive it is to the formation of values such as trust, cooperation, reciprocity and sharing. The greatest advantage of digital finance lies in its inclusiveness, which can bring individuals with relative deprivation of income into the scope of social resource allocation and promote social interaction of individuals to help them access more tangible and intangible resources, 71 which increases social equity and even resolves the problems of distribution and equality. Therefore, digital finance can help improve the negative perceptions and negative emotions of chronically ill patients due to perceived inequities resulting from relative deprivation of income and alleviate their distrust of doctors.…”

Section: Theoretical Analysis and Research Questionsmentioning

confidence: 99%

Can digital finance mitigate trust issues for chronically ill patients because of relative deprivation of income?

Lu,

Li,

Cao

et al. 2023

DIGITAL HEALTH

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Objective The relative deprivation of income among chronically ill patients may create a perception of inequity in their access to quality healthcare, which may lead to a decline in patients’ trust and further increases the burden of chronic diseases. Digital finance could be the antidote. To promote equity in healthcare delivery, this study explores the mitigating effect of digital finance by elucidating the relationship between relative deprivation of income and chronically ill patients’ trust. Methods Using data from the China Family Panel Study, a Poisson regression model was applied to assess the effect of relative deprivation of income on chronically ill patients’ trust. A marginal effect analysis was used to verify the effect and a two-stage least squares method was used to test robustness. Results Chronically ill patients’ trust was at a medium level (5.98 ± 2.05). Relative deprivation of income significantly reduced patients’ trust (β=−0.056, p < 0.1). The digital finance had a positive effect on patients’ trust (β=0.035, p < 0.01) and alleviated the negative effect of relative deprivation of income on patients’ trust (β=0.105, p < 0.01). The instrumental variable estimation results confirmed the robustness of the benchmark regression results. Conclusions The inequity resulting from relative deprivation of income undermines patients’ trust. Digital finance has a long-term effect on alleviating perception of inequity among chronically ill patients. The government should promote the integration of digital finance and smart healthcare to enhance patients’ trust and contribute to equality in healthcare delivery. Limitations include self-reported data and an insufficient correlation between selected indicators and healthcare services.

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Does the Development of the Digital Economy Promote Common Prosperity?—Analysis Based on 284 Cities in China

Cited by 17 publications

References 32 publications

Global Value Chain Participation, Employment Structure, and Urban–Rural Income Gap in the Context of Sustainable Development

Global Value Chain Participation, Employment Structure, and Urban–Rural Income Gap in the Context of Sustainable Development

Regional common prosperity level and its spatial relationship with carbon emission intensity in China

Can digital finance mitigate trust issues for chronically ill patients because of relative deprivation of income?

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