IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/1345.html
   My bibliography  Save this paper

Household Income Determination and Regional Income Differential in Rural China

Author

Listed:
  • meng, xin
  • wu, harry

Abstract

Regional income dispersion is a sensitive issue in China in terms of judging the impact of economic reform. This study looks closely at the issue as to what are the determinants of income variation among households in general, and which are the key determinants of income dispersion among different regions. The study uses the data from a sample survey on 1000 rural households in five Chinese provinces. Household income equations are estimated to assess the determinants of income variations among China’s rural households. Blinder’s (1973) decomposition approach is used to determine whether the regional income differential is mostly due to regional endowment differential or regional premium. Among other interesting findings, the major determinant of regional income dispersion seems to be the degree of regional marketisation. Moreover, the rate of return to most factors is significantly different across regions. These findings suggest that further economic reform in less developed regions and the open up of inter-regional trade and factor mobility are the most important factors in reducing the regional income differential

Suggested Citation

  • meng, xin & wu, harry, 1994. "Household Income Determination and Regional Income Differential in Rural China," MPRA Paper 1345, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:1345
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/1345/1/MPRA_paper_1345.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gregory, R. G. & Meng, Xin, 1995. "Wage Determination and Occupational Attainment in the Rural Industrial Sector of China," Journal of Comparative Economics, Elsevier, vol. 21(3), pages 353-374, December.
    2. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, January-J.
    3. Caballe, Jordi & Santos, Manuel S, 1993. "On Endogenous Growth with Physical and Human Capital," Journal of Political Economy, University of Chicago Press, vol. 101(6), pages 1042-1067, December.
    4. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    5. Kuznets, Simon, 1976. "Demographic Aspects of the Size Distribution of Income: An Exploratory Essay," Economic Development and Cultural Change, University of Chicago Press, vol. 25(1), pages 1-94, October.
    6. Datta, Gautam & Meerman, Jacob, 1980. "Household Income or Household Income Per Capita in Welfare Comparisons," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 26(4), pages 401-418, December.
    7. Byron, Rayond P & Manaloto, Evelyn Q, 1990. "Returns to Education in China," Economic Development and Cultural Change, University of Chicago Press, vol. 38(4), pages 783-796, July.
    8. Gautam Datta & Jacob Meerman, 1980. "Household Income Or Household Income Per Capita In Welfare Comparisons," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 26(4), pages 401-418, December.
    9. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    10. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    11. Gary S. Becker, 1962. "Investment in Human Capital: A Theoretical Analysis," NBER Chapters, in: Investment in Human Beings, pages 9-49, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiaoyun Liu & Terry Sicular, 2009. "Nonagricultural Employment Determinants and Income Inequality Decomposition," Chinese Economy, Taylor & Francis Journals, vol. 42(4), pages 29-43, July.
    2. Brandt, Loren & Holz, Carsten A, 2006. "Spatial Price Differences in China: Estimates and Implications," Economic Development and Cultural Change, University of Chicago Press, vol. 55(1), pages 43-86, October.
    3. Ulrich Reuter, 2006. "What Kind of Education Does China Need?: The Impact of Educational Attainment on Local Growth and Disparities," WIDER Working Paper Series RP2006-127, World Institute for Development Economic Research (UNU-WIDER).
    4. Wu, Harry X. & Meng, Xin, 1996. "Do Chinese farmers reinvest in grain production?," China Economic Review, Elsevier, vol. 7(2), pages 123-134.
    5. Lee, Soohyung & Malin, Benjamin A., 2013. "Education's role in China's structural transformation," Journal of Development Economics, Elsevier, vol. 101(C), pages 148-166.
    6. Shan Jordan, 2002. "A Macroeconometric Model of Income Disparity in China," International Economic Journal, Taylor & Francis Journals, vol. 16(2), pages 47-63.
    7. Yanrui Wu, 2000. "Income disparity and convergence in China's regional economies," Chapters, in: P. J. Lloyd & Xiao-guang Zhang (ed.), China in the Global Economy, chapter 15, Edward Elgar Publishing.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Philip Trostel & Ian Walker, 2006. "Education and Work," Education Economics, Taylor & Francis Journals, vol. 14(4), pages 377-399.
    2. Wu, Harry X. & Meng, Xin, 1996. "Do Chinese farmers reinvest in grain production?," China Economic Review, Elsevier, vol. 7(2), pages 123-134.
    3. Konstantinos Chatzimichael & Margarita Genius & Vangelis Tzouvelekas, 2015. "Health-Damaging Inputs, Workers' Health Status and Productivity Measurement," Working Papers 1505, University of Crete, Department of Economics.
    4. Daren, Conrad, 2007. "Education and Economic Growth: Is There a Link?," MPRA Paper 18176, University Library of Munich, Germany, revised 2009.
    5. Matuszewska-Janica Aleksandra, 2018. "Differences in Men’s and Women’s Wages in the Education Sector in the Baltic Sea Region States," Folia Oeconomica Stetinensia, Sciendo, vol. 18(1), pages 157-168, June.
    6. François Rycx & Giulia Santosuosso & Guillaume Vermeylen, 2022. "The over-education wage penalty among PhD holders: a European perspective," Working Papers CEB 22-009, ULB -- Universite Libre de Bruxelles.
    7. Klaesson, Johan & Larsson, Hanna, 2009. "Wages, Productivity and Industry Composition – agglomeration economies in Swedish regions," Working Paper Series in Economics and Institutions of Innovation 203, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    8. Günalp, Burak & Cilasun, Seyit Mümin & Acar, Elif Öznur, 2013. "Male-Female Labor Market Participation and the Extent of Gender-Based Wage Discrimination in Turkey," MPRA Paper 51503, University Library of Munich, Germany.
    9. Conrad, Daren, 2017. "Education's Contribution to Economic Growth," MPRA Paper 77365, University Library of Munich, Germany.
    10. Zveglich, Joseph E. & van der Meulen Rodgers, Yana & Laviña, Editha A., 2019. "Expected work experience and the gender wage gap: A new human capital measure," Economic Modelling, Elsevier, vol. 83(C), pages 372-383.
    11. Cecile Wetzels, 2008. "Are workers in the cultural industries paid differently?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(1), pages 59-77, March.
    12. Pecorino, Paul, 1995. "Tax rates and tax revenues in a model of growth through human capital accumulation," Journal of Monetary Economics, Elsevier, vol. 36(3), pages 527-539, December.
    13. Flávio Kauê Fiuza-Moura & Katy Maia & Solange Cassia Inforzato de Souza & Magno Rogério Gomes & Paulo Reis Mourão, 2019. "The luck of being of the right gender and color: a detailed discussion about the wage gaps in the Brazilian manufacturing industry," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1275-1300, May.
    14. Moock, Peter R. & Patrinos, Harry Anthony & Venkataraman, Meera, 2003. "Education and earnings in a transition economy: the case of Vietnam," Economics of Education Review, Elsevier, vol. 22(5), pages 503-510, October.
    15. Wu, Harry X. & Meng, Xin, 1996. "The direct impact of the relocation of farm labour on Chinese grain production," China Economic Review, Elsevier, vol. 7(2), pages 105-122.
    16. Backman, Mikaela & Gabe, Todd & Mellander, Charlotta, 2016. "Effects of Human Capital on the Growth and Survival of Swedish Businesses," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(1).
    17. Lili Kang & Fei Peng, 2012. "A selection analysis of returns to education in China," Post-Communist Economies, Taylor & Francis Journals, vol. 24(4), pages 535-554, March.
    18. Konstantinos Chatzimichael & Margarita Genius & Vangelis Tzouvelekas, 2017. "Health-Damaging Inputs, Workers Health Status and Productivity Measurement," Working Papers 1701, University of Crete, Department of Economics.
    19. Klaus Waelde, 1996. "Lifetime learning, biased technological change and the evolution of wages in the U.S. 1960 - 1990," Labor and Demography 9601001, University Library of Munich, Germany.
    20. Maria Klonowska-Matynia & Radosław Sobko, 2021. "Spatial Analysis of the Relationship between Health Capital and the Level of Health Care Expenditure in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 133-151.

    More about this item

    Keywords

    household income; regional differential; rural china;
    All these keywords.

    JEL classification:

    • J43 - Labor and Demographic Economics - - Particular Labor Markets - - - Agricultural Labor Markets
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:1345. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.