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.