TY - JOUR
T1 - Economic geography and inequality in China
T2 - Did improved market access widen spatial wage differences?
AU - Lovely, Mary E.
AU - Liang, Yang
AU - Zhang, Hongsheng
N1 - Funding Information:
The authors gratefully acknowledge comments received at the 8th International Symposium on Human Capital and Labor Markets, Central University of Finance and Economics; seminar participants at the Mid-West International Economics Meetings, University of Rochester; at the 2nd Biennial Conference of China Development Studies, Shanghai Jiao Tong University; and at seminars at Xiamen University and Syracuse University. We also benefitted from helpful feedback from two anonymous referees. We thank Laura Hering and Sandra Poncet and Scott Baier and Jeffrey Bergstrom for access to data. Hongsheng Zhang's work was funded by the National Natural Science Foundation of China (No. 71803173) titled “Research on the Promotion of Cross-border E-commerce on the Enhancement of Global Value Chain Status”, the Project of Humanities and Social Sciences of the Ministry of Education of China (No. 18YJC790215) titled “Research on the Evolution of Trade Cost Based on Cross-border E-commerce” and the China Postdoctoral Science Foundation (No. 2017M620237 and No. 2018T110579).
Funding Information:
The authors gratefully acknowledge comments received at the 8th International Symposium on Human Capital and Labor Markets, Central University of Finance and Economics; seminar participants at the Mid-West International Economics Meetings, University of Rochester; at the 2nd Biennial Conference of China Development Studies, Shanghai Jiao Tong University; and at seminars at Xiamen University and Syracuse University. We also benefitted from helpful feedback from two anonymous referees. We thank Laura Hering and Sandra Poncet and Scott Baier and Jeffrey Bergstrom for access to data. Hongsheng Zhang's work was funded by the National Natural Science Foundation of China (No. 71803173) titled ?Research on the Promotion of Cross-border E-commerce on the Enhancement of Global Value Chain Status? the Project of Humanities and Social Sciences of the Ministry of Education of China (No. 18YJC790215) titled ?Research on the Evolution of Trade Cost Based on Cross-border E-commerce? and the China Postdoctoral Science Foundation (No. 2017M620237 and No. 2018T110579).
Publisher Copyright:
© 2019 Elsevier Inc.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/4
Y1 - 2019/4
N2 - New economic geography (NEG) models predict that costly transport and the spatial distribution of demand affect the profits firms can earn in different locations, leading to higher wages for workers employed in cities with better geographic access to markets. In light of the ongoing economic integration and market reforms that occurred in China after 1995, we use three waves of Chinese Household Income Project (CHIP) data to measure the extent to which the influence of market access on wages changed and affected wage dispersion across Chinese cities over the next 12 years. Employing the gravity-based method of Redding and Venables (2004) to calculate the market access available to firms located in each city, we test whether the elasticity of the wage with respect to local market access increased over time. We find that in all three years market access of the worker's location has a positive and significant influence on the wage. Consistent with extensive labor market reforms of the late 1990s, the estimated wage elasticity doubles between 1995 and 2002 and is stable thereafter. Our estimates indicate that wages of all workers become more responsive to market forces in a manner consistent with NEG predictions, both skilled and unskilled and those working for state as well as private enterprises. We also provide evidence that these results are not driven by omission of other forms of agglomeration or by selection bias. Estimated spatial differences in nominal wages are large: a worker moving from an inland location to the coast in 2007 would have doubled his or her nominal wage. Counterfactual analysis indicates that spatial differences in market access contribute to wage inequality, but less so over time.
AB - New economic geography (NEG) models predict that costly transport and the spatial distribution of demand affect the profits firms can earn in different locations, leading to higher wages for workers employed in cities with better geographic access to markets. In light of the ongoing economic integration and market reforms that occurred in China after 1995, we use three waves of Chinese Household Income Project (CHIP) data to measure the extent to which the influence of market access on wages changed and affected wage dispersion across Chinese cities over the next 12 years. Employing the gravity-based method of Redding and Venables (2004) to calculate the market access available to firms located in each city, we test whether the elasticity of the wage with respect to local market access increased over time. We find that in all three years market access of the worker's location has a positive and significant influence on the wage. Consistent with extensive labor market reforms of the late 1990s, the estimated wage elasticity doubles between 1995 and 2002 and is stable thereafter. Our estimates indicate that wages of all workers become more responsive to market forces in a manner consistent with NEG predictions, both skilled and unskilled and those working for state as well as private enterprises. We also provide evidence that these results are not driven by omission of other forms of agglomeration or by selection bias. Estimated spatial differences in nominal wages are large: a worker moving from an inland location to the coast in 2007 would have doubled his or her nominal wage. Counterfactual analysis indicates that spatial differences in market access contribute to wage inequality, but less so over time.
KW - Chinese inequality
KW - Market access
KW - New economic geography
KW - Wages
UR - http://www.scopus.com/inward/record.url?scp=85060553793&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060553793&partnerID=8YFLogxK
U2 - 10.1016/j.chieco.2019.01.005
DO - 10.1016/j.chieco.2019.01.005
M3 - Article
AN - SCOPUS:85060553793
SN - 1043-951X
VL - 54
SP - 306
EP - 323
JO - China Economic Review
JF - China Economic Review
ER -