Labor Market Dynamics and Structural Change: Evidence from China

AuthorRui Mao,Jianwei Xu
Published date01 July 2015
DOIhttp://doi.org/10.1111/cwe.12121
Date01 July 2015
60 China & World Economy / 6083, Vol. 23, No. 4, 2015
©2015 Institute of World Economics and Politics, Chinese Academy of Social Sciences
Labor Market Dynamics and Structural Change:
Evidence from China
Rui Mao, Jianwei Xu*
Abstract
Structural change theories usually assume agents are homogeneous. However, because
of demand-side or supply-side heterogeneities, the probability of switching among
sectors differs across people. This paper reveals these differences through restoring a
long-period, individual-level panel dataset from Chinas Urban Household Survey for
19862009. We find that both for people who started working for the first time and
those who switched jobs, the sector choice depends on personal characteristics. In
particular, women and people with higher educational attainment or a previous white-
collar job are more likely to join the tertiary sector and less likely to join the primary
sector. These effects are substantial even if the macroeconomic variables used in
conventional structural change theories are controlled. They are also robust in various
periods and at more detailed industry levels. Our research suggests that it is important
to pay greater attention to the labor composition when making policy related to economic
structural change.
Key words: labor market dynamics, personal characteristics, sectoral switch, structural
change
JEL codes: J16, J21, J24, L16, O11
I. Introduction
Intersectoral labor movements give rise to structural change which can be typically
characterized by Kuznets facts: the employment share of the primary sector declines,
that of the tertiary sector increases and that of the secondary sector follows a hump-
*Rui Mao, Assistant Professor, School of Management, Zhejiang University, Hangzhou, China. Email: rmao@zju.
edu.cn; Jianwei Xu (corresponding author), Associate Professor, School of Finance, Beijing Normal University,
Beijing, China. Email: jianweixu@gmail.com. This research is supported by the National Natural Science Foundation
(Grant No. 71403237), the Project of Humanities and Social Science of the Ministry of Education in
China (Grant No. 14YJC790089), the Zhejiang Provincial Natural Science Foundation of China (Grant
No. LQ14G030008), the Beijing Social Science Foundation (Grant No. 14JGC100), and the Scientific
Research Fund of Zhejiang Provincial Education Department (No. Y201430552). Rui Mao also thanks
the Collaborative Innovation Center for Rural Reform and Development for financial support.
61
Labor Market Dynamics and Structural Change
©2015 Institute of World Economics and Politics, Chinese Academy of Social Sciences
shaped trajectory (Clark, 1940; Kuznets, 1957, 1966; Chenery, 1960). However, because
of demand-side or supply-side heterogeneities, the probability of intersectoral switches
differs across people. Therefore, not only the employment share of each sector changes,
but the labor composition within each sector changes. This heterogeneous employment
reallocation across sectors tends to be overlooked in the literature.
We intend to fill this gap by uncovering individual-level heterogeneities underlying
the process of the structural change of Chinas economic sectors. More specifically, we
want to investigate whether the intersectoral mobility rates differ for people with different
characteristics and, if so, what characteristics are the key determinants. We will also
explore whether and how macro-variables of structural change on the demand side (the
income level) and those on the supply side (the sectoral total factor productivity [TFP]
growth rates) may exert additional impacts on the relationships among personal
characteristics and sectoral switch decisions. This study can help the government to make
structural change policies in coordination with the characteristics of the labor force.
We construct a panel dataset using the Urban Household Surveys (UHS) conducted
by the National Bureau of Statistics (NBS) of China from 1986 to 2009, which allows us to
track peoples working sectors, and examine how personal characteristics affect sectoral
choices. Our results reveal that for people who have already been working, the odds ratio
of choosing the primary sector over the secondary sector decreases for women and for
people with a white-collar job; that of choosing the tertiary sector over the secondary
sector increases for women and for people with a white-collar job and higher educational
attainment, and exhibits a U-shaped relationship with work experience. For people seeking
their first job, the odds ratio of joining the tertiary sector versus the secondary sector
increases for women and for people with high educational attainment. We also split the
sample into two periods to examine the differential effects over time, and break sectors
into more detailed industries for robustness checks.
Our study focuses on China in particular because its economic structure has experienced
dramatic changes since the mid-20th century. The employment share of China s primary
sector decreased from 83.5 percent in 1952 to 34.8 percent in 2012, whereas those of the
secondary and tertiary sectors, respectively, increased from 7.4 and 9.1 percent to 29.5 and
35.7 percent.1 Meanwhile, unlike developed and other emerging markets, the share of
Chinas secondary sector in GDP has continued to increase. Therefore, our study is
distinguished from other relevant studies that focus on mature economies. Finally, China s
marketization reforms in the 1990s also make it an interesting case to examine how
1These figures come from the website of the National Bureau of Statistics of China, available from: http://www.
stats.gov.cn/english/.

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