Prof.  Kaiyao  Wu
Shanghai University of International Business and Economics,  China

Title: The Impact of Green Technology Innovation on the Global Value Chain Posittion of China 's Manufacturing Industry

Abstract:

Green technology is a new type committed to reducing environmental negative impacts and promoting sustainable development. This paper analyzes the impact of green technological innovation on the global value chain (GVC) position of China’s manufacturing industry. Current academic circles have two main viewpoints on this impact. Yuan and Dai (2017) found that green technological innovation has a positive promoting effect on the GVC position of the manufacturing industry. Li et al. (2022) and Song et al. (2021) suggest that the impact of green technological innovation on manufacturing GVCs is not a simple linear relationship but may involve complex non-linear effects.

There are two reasons for the divergence in research conclusions. One is the measurement indicators. These studies employ methods such as SFA (Stochastic Frontier Analysis), DEA (Data Envelopment Analysis), or single measurement indicators to gauge green technological innovation. However, these indicators are characterized by a lack of directness and clarity, as well as a low correlation with policies and technologies. Meanwhile, there is a lack of consideration and measurement of forward and backward participation in GVCs based on the share of value added in the measurement of GVC position indicators. Second, the non-linear relationship between green technological innovation and GVC position revealed by empirical analyses may be the result of the existence of certain moderating effects.

In view of the above differences, this paper conducts a thorough analysis of the impact of green technological innovation on GVC position. The data used includes OECD national input output tables (IOTs), OECD Inter-Country Input-Output (ICIO) Tables, OECD Trade in value-added (TiVA), UIBE GVC Database, CNRDS PSID Database, EPS Database, China Statistical Yearbook on Environment, and China Industry Economy Statistical Yearbook.

The method used includes reconstructing the measurement method of green technology innovation by combining PCT data and OECD’s search strategy to account for green patent applications. Based on input-output value-added accounting, a GVC position index that includes forward and backward participation in the global value chain is constructed. Taking environmental regulation and absorption capacity as moderating variables into the research framework of the impact of green technology innovation on the GVC position of China’s manufacturing industry, this paper analyzes the possible impact directions and mechanisms of green technology innovation as a whole and its moderating variables on GVC upgrading, and proposes research hypotheses of the overall impact, moderating effects, and impact mechanism of green technology innovation on GVC upgrading. Finally, we analyze the moderating effects of environmental regulation and absorption capacity on the impact of green technological innovation on the GVC position of China’s manufacturing industry through mechanism tests.

Biography:

-Ph.D. of Economics from Shanghai Jiaotong University (2011)

-Associate Professor in Shanghai University of International Business and Economics

-academic committee member and digital special committee member of China Society of Foreign Economic and Trade Statistics

-Visiting Scholar, Business college, Colorado state university (2017.2-2018.2)

-Post doctor, Postdoctoral research station of management science and engineering (2012/3-2016/3) 

-Teaching SAS Statistical Analysis, Enterprise Management Statistics,       Statistics, Marketing Research, global value chain statistics for Bachelor, MA students.

-Writing more than 35 paper in Chinese and English. -Writing more than 10 conference paper in national and international conference.

-supervisor and advisor about 50 postgraduate and graduate. students