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

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• 作者：Malin Song ; Shuhong Wang
• 关键词：Productivity and competitiveness ; Global value chain ; Green technology ; Big data
• 刊名：Environmental Science and Pollution Research
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：24
• 期：2
• 页码：1648-1661
• 全文大小：
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment, general; Environmental Chemistry; Ecotoxicology; Environmental Health; Atmospheric Protection/Air Quality Control/Air Pollution; Waste Water Technology / Water Pollution Control / Water M
• 出版者：Springer Berlin Heidelberg
• ISSN：1614-7499
• 卷排序：24

文摘

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.