Literature DB >> 27796973

Participation in global value chain and green technology progress: evidence from big data of Chinese enterprises.

Malin Song1, Shuhong Wang2.   

Abstract

This study examined the stimulative effects of Chinese enterprises' participation in the global value chain (GVC) on the progress of their green technologies. Using difference-in-difference panel models with big data of Chinese enterprises, we measured influencing factors such as enterprise participation degree, enterprise scale, corporate ownership, and research and development (R&D) investment. The results revealed that participation in the GVC can considerably improve the green technology levels in all enterprises, except state-owned ones. However, the older an enterprise, the higher the sluggishness is likely to be in its R&D activities; this is particularly true for state-owned enterprises. The findings provide insights into the strategy of actively addressing Chinese enterprises' predicament of being restricted to the lower end of the GVC.

Entities:  

Keywords:  Big data; Global value chain; Green technology; Productivity and competitiveness

Mesh:

Year:  2016        PMID: 27796973     DOI: 10.1007/s11356-016-7925-1

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


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1.  Does financial development promote the win-win balance between environmental protection and economic growth?

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Journal:  Environ Sci Pollut Res Int       Date:  2021-01-06       Impact factor: 4.223

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