Biography
Dr. Kaiyao Wu
Dr. Kaiyao Wu
Shanghai University of International Business and Economics, China
Title: Whether and How Population Aging Affect A Country’s GVC Position-- Macro Analysis Based on OECD Input-output Table
Abstract: 

Aging has become an important issue nowadays. Whether and how population aging affects a country's global value chain position? This paper takes the perspective of export participation in GVCs to understand the country's GVC position and how population aging affects it by combining value-added attributes and product attributes. Based on the global input-output value added trade accounting method, the domestic value added rate of exports and technological complexity are combined to construct a measure of GVC position, overcoming the bias of previous studies in measuring GVC position. Using relevant data from the 2000-2018 OECD World ICIO Input-Output Tables and the BACI database, the impact of population aging on a country's manufacturing global value chain position is examined through a time series panel econometric model. The findings show that population aging has a significant negative effect on manufacturing GVC position, which remains valid under various robustness tests. The heterogeneity study finds that population aging has different formulas of impact on countries with different income levels and international organization affiliations, with EU member states showing significant anomalies, which indicates that it has some degree of positive impact of population aging on GVC position. Therefore, this paper proposes corresponding policy recommendations.

Keywords: Population Aging, Global Value Chain Position, Dual Circulation, Input Output

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

-Focusses in the economics and trade statistic area, with main research interest of global value chain, sustainability accounts and measurements.