nep-cna New Economics Papers
on China
Issue of 2013‒02‒03
three papers chosen by
Zheng Fang
Ohio State University

  1. The China Syndrome: Local Labor Market Effects of Import Competition in the United States By Autor, David; Dorn, David; Hanson, Gordon H.
  2. Wage Growth through Job Hopping in China By Ariga, Kenn; Ohtake, Fumio; Sasaki, Masaru; Wu, Zheren
  3. The Effects of the State Sector on Wage Inequality in Urban China: 1988–2007 By Xia, Qingjie; Song, Lina; Li, Shi; Appleton, Simon

  1. By: Autor, David (MIT); Dorn, David (CEMFI, Madrid); Hanson, Gordon H. (University of California, San Diego)
    Abstract: We analyze the effect of rising Chinese import competition between 1990 and 2007 on U.S. local labor markets, exploiting cross-market variation in import exposure stemming from initial differences in industry specialization and instrumenting for U.S. imports using changes in Chinese imports by other high-income countries. Rising imports cause higher unemployment, lower labor force participation, and reduced wages in local labor markets that house import-competing manufacturing industries. In our main specification, import competition explains one-quarter of the contemporaneous aggregate decline in U.S. manufacturing employment. Transfer benefits payments for unemployment, disability, retirement, and healthcare also rise sharply in more trade-exposed labor markets.
    Keywords: trade flows, import competition, local labor markets, China
    JEL: F16 H53 J23 J31
    Date: 2013–01
    URL: http://d.repec.org/n?u=RePEc:iza:izadps:dp7150&r=cna
  2. By: Ariga, Kenn (Kyoto University); Ohtake, Fumio (Osaka University); Sasaki, Masaru (Osaka University); Wu, Zheren (Kinki University)
    Abstract: This paper uses a unique survey of the Chinese youth to construct a panel data in which we keep track of geographical and job mobilities. Our estimation results deliver the following major findings. (1) The sample individuals are highly mobile. Job quits and relocations are frequent and they are closely correlated. We find that job hopping to be highly productive as our estimates indicate each job quit generates more than .2 log increase in monthly wage. (2) The migrant disadvantage in urban labor market is compensated by their higher job mobility. After four jobs, the expected earnings differentials essentially disappear. We also find that migration and job mobility are highly selective processes. Our evidence indicates that the migrants are positively selected. (3) Job and location mobilities are highly dependent upon family back ground and personal traits which we interpret as representing unobservable characteristics associated with risk taking, active and optimistic personality, as well as the implied economic incentives to migrate and keep searching for better jobs.
    Keywords: wage growth, migration, school to work transition
    JEL: J31 J61 J62
    Date: 2012–12
    URL: http://d.repec.org/n?u=RePEc:iza:izadps:dp7104&r=cna
  3. By: Xia, Qingjie (Peking University); Song, Lina (University of Nottingham); Li, Shi (Beijing Normal University); Appleton, Simon (University of Nottingham)
    Abstract: This paper examines the effects of state sector domination on wage inequality in urban China. Using Chinese Household Income Project surveys, we conduct two exercises: with quantile regression analysis, we identify wage gaps across the distribution and over time; and we employ the Machado and Mata (2005) decomposition to investigate how urban wage inequality was affected by the changes in wage structure and employment share of the state sector. We find that since the radical state sector reforms designed to reduce over-staffing and improve efficiency since the late 1990s, urban wage gaps were narrowed due to the reduction of employment share in the state sector; the wage premium of the state sector in comparison with the non-state sector increased significantly; and changes in the wage structure of the labour market caused the rise in urban wage inequality.
    Keywords: China, state sector, wage inequality, quantile regression, counterfactual analysis
    JEL: J31 J42 O15 P23
    Date: 2013–01
    URL: http://d.repec.org/n?u=RePEc:iza:izadps:dp7142&r=cna

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