Empirical test of the impact of the digital economy on China's employment structure

Wu, Bangzheng; Yang, Weiguo

doi:10.1016/j.frl.2022.103047

Cited by 97 publications

(46 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…OECD measures the degree of digital economy development in terms of smart infrastructure investment, enhancing social dynamics, unleashing innovation and creativity, and promoting growth and employment (OECD, 2014). Wu and Yang, (2022) measured digital economy based on dimensions, such as digital infrastructure, digital innovation, and digital application. Based on the research above, the paper adopts digital infrastructure, digital talents, digital industry, digital services, etc.…”

Section: Digital Economy (Digi)mentioning

confidence: 99%

“…As to digital economy, the eastern region is also leading the central and western regions (see Figure 1). Compared with the central and western regions, the eastern region has more advantages in urban agglomeration (Ma and Zhu, 2022), hightech talents (Wu and Yang, 2022), digital infrastructure, and other factors. The digital dividend that it enjoys may play an important role in promoting green innovation.…”

Section: Analysis Of Regional Spatial Heterogeneitymentioning

confidence: 99%

See 1 more Smart Citation

Global value chain embeddedness, digital economy and green innovation—Evidence from provincial-level regions in China

Hui

Yang

Zhou

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

With globalization and digitalization, participating in Global Value Chain (GVC) and developing digital economy have had a profound impact, which transforms China’s economy into a green and innovative one. This paper studies the intrinsic influential mechanism of GVC embeddedness and digital economy on green innovation and proposes some research hypotheses. Based on panel data of 30 Chinese provinces from 2002 to 2016, we constructed some core indicators such as GVC embeddedness, digital economy and green innovation. The ordinary panel model and spatial panel model are used to empirically test the impact of GVC embeddedness and digital economy on China’s green innovation at the provincial level. The research findings are: First, GVC embeddedness and digital economy have significant promotion effects on green innovation. Second, the development of digital economy will not only directly promote green innovation, but also indirectly promote green innovation by effectively promoting the integration of provincial economy into GVC. The results of mediating effect test show that GVC embeddedness has a partial mediating effect in the influential mechanism of digital economy to promote green innovation. Third, GVC embeddedness and green innovation have significant spatial spillover effects. It indicates that Chinese provinces (cities1) have significantly promoted green innovation in neighboring provinces through many possible channels and mechanisms in the process of participating in GVC, and the robustness test shows the stability of the spatial spillover mechanism. The findings provide useful policy implications for China’s deeply participating in GVC, vigorously developing digital economy and promoting green innovation.

show abstract

Section: Digital Economy (Digi)mentioning

confidence: 99%

Section: Analysis Of Regional Spatial Heterogeneitymentioning

confidence: 99%

Global value chain embeddedness, digital economy and green innovation—Evidence from provincial-level regions in China

Hui

Yang

Zhou

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…In the critical period of China's economic transformation, the application of digital technology will undoubtedly affect the mode of industrial production, and will also have a profound impact on the industry's energy demand and carbon emissions (Ren et al, 2021;Wang J et al, 2022). From existing literature, most scholars focus on the economic effects of digital transformation, both exploring its important impact on the economic development of countries or regions (Mićić, 2017;Pan et al, 2022;Wu and Yang, 2022) and its key role in corporate development (Bhimani, 2015;Ballestar et al, 2021;Gaglio et al, 2022;. With the development of digital economy and the tightening of resource and environmental constraints, the environmental effects of digital transformation have attracted the attention of scholars.…”

Section: Introductionmentioning

confidence: 99%

The impact of digital transformation on low-carbon development of manufacturing

Lyu

Zhang

Wang

2023

Front. Environ. Sci.

View full text Add to dashboard Cite

Objective: To measure the low-carbon development level and digital transformation degree of China’s manufacturing industry, and to examine the impact of digital transformation on low-carbon development.Methods: This paper uses Super Slack Based Measure (SBM) model and multi-regional input-output model to measure the low-carbon development level and digital transformation degree of 17 manufacturing industries in 30 provinces of China from 2012 to 2018, and uses high-dimensional fixed effect model and mediation model to study the impact of digital transformation on low-carbon development.Results: 1) During the study period, China’s manufacturing industry showed an upward trend in terms of low-carbon development level and digital transformation, but there were significant regional and industrial disparities. 2) Digital transformation can significantly promote the low-carbon development of manufacturing industry, which is still valid in the robustness test. 3) For sub-indicators, digital industrialization has the most obvious effect on the low-carbon development of manufacturing industry, and the improvement of digital development environment also has a positive impact on low-carbon development. 4) The heterogeneity analysis indicate that digital transformation has a greater impact on promoting low-carbon development of manufacturing in underdeveloped regions, and the positive effect is obvious in medium-low-energy-consuming industries, but not in high-energy-consuming industries. 5) The mechanism test shows that technological innovation is a channel for digital transformation to promote low-carbon development.Value: This paper provides empirical evidence for the environmental impact of digital transformation, and offers a scientific basis for relevant departments to formulate low-carbon development policies from the perspective of digital transformation.

show abstract

“…The implication of industrial green development and technological innovation where the employment structure is concerned is thought-provoking. Employment structure has become a vital factor in boosting China's economy (Wu and Yang, 2022). China has always placed employment stabilization at the top of the "six stable" tasks and "six secure" tasks and implemented employment as a priority strategy.…”

Section: Introductionmentioning

confidence: 99%

Study on the impact of industrial green development and technological innovation on employment structure

Hu²,

Zhao³

2023

Front. Earth Sci.

View full text Add to dashboard Cite

Exploring the relationship between industrial green development, technological innovation, and employment structure, especially the impact between industrial green development and technological innovation on employment structure, is of enormous theoretical and practical importance to achieve high-quality employment as well as optimize the employment structure of China. Thirty Chinese provinces’ data from 2009 to 2019 is adopted to assess industrial green development levels. Considering the above, this research innovatively integrates industrial green development, technological innovation, and employment structure into an analytical framework, and empirically investigates the effects of the two factors and their interaction on employment structure by adopting a two-way fixed effects model. The specific conclusions are presented as follows. Firstly, China’s industrial green development levels exhibit a fluctuating and rising time-series evolutionary feature from 2009 to 2019 and have regional differences. Secondly, industrial green development, technological innovation, and their interaction are conducive to optimizing China’s employment structure. Thirdly, the eastern and northeastern areas’ employment structure optimization is boosted by industrial green development. However, the corresponding regression coefficients in the western and central areas are not significant. The northeastern, eastern, and western areas’ technological innovation encourages employment structure improvement. Instead, the employment structure is hampered by technological innovation in the central region. An interaction between industrial green evolution and technological innovation positively affects relevant employment structures in the four regions. Specific results of this research are of necessary theoretical significance and the realistic reference price for whether industrial green development and the interplay affect employment structure.

show abstract

Empirical test of the impact of the digital economy on China's employment structure

Cited by 97 publications

References 23 publications

Global value chain embeddedness, digital economy and green innovation—Evidence from provincial-level regions in China

Global value chain embeddedness, digital economy and green innovation—Evidence from provincial-level regions in China

The impact of digital transformation on low-carbon development of manufacturing

Study on the impact of industrial green development and technological innovation on employment structure

Contact Info

Product

Resources

About