Xiwei Wu

Dr. Xiwei Wu

Renmin University of China, Beijing, China

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 February 2020 in Population and Environment
Verified
Journal Article
Open access
PDF file
Danlin YuDanlin Yu
Danlin Yu
YZYaojun Zhang
Yaojun Zhang
XWXiwei Wu
Xiwei Wu
The original version of this article unfortunately contained a mistake. The names of Yaojun Zhang and Xiwei Wu were inadvertently interchanged.

1 April 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
XWxiaoxi wang
xiaoxi wang
YZYaojun Zhang
Yaojun Zhang
Danlin YuDanlin Yu
Danlin Yu
XWXiwei Wu
Xiwei Wu
DLDing Li
Ding Li
Improving total factor productivity is an important way for China’s economy to avoid the middle income trap. Demographic changes are believed to have significant impacts on productivity growth. Using the census and socioeconomic data of 358 prefecture cities in mainland China, this paper analyzes the changes in the global and local spatial dependence of total factor productivity. We then employ spatial regression methods to investigate the role of changes in population factors in productivity growth in 2000 and 2010. We draw three observations from the analysis. First, population density plays an important role in both years. There is an inverted U-shaped relationship between population density and productivity growth. Second, human capital stock has a significant positive impact while human capital inequality becomes insignificant in 2010. This is likely a result of China’s education equality policies. Third, the impact of the aging of workers and their migration status on productivity growth also changed over the decade. Different cohorts of workers and migrants have had different influences on productivity growth because of their different access to higher education. The study provides important insights over how demographic factors impact China’s productivity growth.