ArticleEnvironmental science and pollution research international2017
Participation in global value chain and green technology progress: evidence from big data of Chinese enterprises.
Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- Environmental quality assessment and spatial spillover effects of three urban agglomerations in China: A Meta-EBM approach.Heliyon · 2023Article
- Can Global Value Chains Embedment Reduce Carbon Emissions Embodied in Exports?-Empirical Test Based on the Manufacturing Industries.International journal of environmental research and public health · 2022Article
- Structural characteristics and evolution of the "international trade-carbon emissions" network in equipment manufacturing industry: international evidence in the perspective of global value chains.Environmental science and pollution research international · 2021Article
- Evaluating the sustainability of big data centers using the analytic network process and fuzzy TOPSIS.Environmental science and pollution research international · 2021Article
- Modeling drivers for successful adoption of green business: an interpretive structural modeling approach.Environmental science and pollution research international · 2021Article
- Application of industry 4.0 technologies in SMEs for ethical and sustainable operations: Analysis of challenges.Journal of cleaner production · 2020Article
- Analysis of resource allocation and environmental performance in China's three major urban agglomerations.Environmental science and pollution research international · 2020Article
- Does financial development promote the win-win balance between environmental protection and economic growth?Environmental science and pollution research international · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.