IDEAS home Printed from https://ideas.repec.org/a/eee/jcecon/v41y2013i3p879-894.html
   My bibliography  Save this article

Comparing China and India: A factor accumulation perspective

Author

Listed:
  • Kan, Kamhon
  • Wang, Yong

Abstract

The remarkable economic transformations in China and India in recent decades have been accompanied by almost equally remarkable different development patterns. For example, the empirical data during 1985–2004 show that, compared with India, China’s economy has exhibited (i) considerably higher rates of physical capital formation; (ii) much higher ratios of measured physical to human capital; and (iii) a more physical-capital-friendly public policy. Motivated by these empirical observations, we study the accumulation of both physical and human capital in a one-sector growth model with a CES production function. After deriving some qualitative implications from the model, we estimate the key technological parameters of the normalized CES production function using the panel data at the provincial level for China and at the state level for India. Our estimation results suggest that our model implications match broadly with the above stylized development patterns regarding China and India.

Suggested Citation

  • Kan, Kamhon & Wang, Yong, 2013. "Comparing China and India: A factor accumulation perspective," Journal of Comparative Economics, Elsevier, vol. 41(3), pages 879-894.
  • Handle: RePEc:eee:jcecon:v:41:y:2013:i:3:p:879-894
    DOI: 10.1016/j.jce.2013.01.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0147596713000103
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jce.2013.01.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Robert J. Barro, 2013. "Inflation and Economic Growth," Annals of Economics and Finance, Society for AEF, vol. 14(1), pages 121-144, May.
    2. Felipe, Jesus & Laviña, Editha & Fan, Emma Xiaoqin, 2008. "The Diverging Patterns of Profitability, Investment and Growth of China and India During 1980-2003," World Development, Elsevier, vol. 36(5), pages 741-774, May.
    3. Douglas Gollin, 2002. "Getting Income Shares Right," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 458-474, April.
    4. Duffy, John & Papageorgiou, Chris, 2000. "A Cross-Country Empirical Investigation of the Aggregate Production Function Specification," Journal of Economic Growth, Springer, vol. 5(1), pages 87-120, March.
    5. Barro, Robert J & Lee, Jong-Wha, 2001. "International Data on Educational Attainment: Updates and Implications," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 541-563, July.
    6. Ghate, Chetan & Wright, Stephen, 2012. "The “V-factor”: Distribution, timing and correlates of the great Indian growth turnaround," Journal of Development Economics, Elsevier, vol. 99(1), pages 58-67.
    7. Chirinko, Robert S., 2008. "[sigma]: The long and short of it," Journal of Macroeconomics, Elsevier, vol. 30(2), pages 671-686, June.
    8. Li, Kui-Wai, 2003. "China's Capital and Productivity Measurement Using Financial Resources," Center Discussion Papers 28469, Yale University, Economic Growth Center.
    9. Dilip Das, 2006. "The Chinese and Indian Economies: Comparing the Comparables," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 4(1), pages 77-89.
    10. Rainer Klump & Peter McAdam & Alpo Willman, 2012. "The Normalized Ces Production Function: Theory And Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 26(5), pages 769-799, December.
    11. Barro, Robert J, 1990. "Government Spending in a Simple Model of Endogenous Growth," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 103-126, October.
    12. Barry Bosworth & Susan M. Collins, 2008. "Accounting for Growth: Comparing China and India," Journal of Economic Perspectives, American Economic Association, vol. 22(1), pages 45-66, Winter.
    13. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    14. Antràs Pol, 2004. "Is the U.S. Aggregate Production Function Cobb-Douglas? New Estimates of the Elasticity of Substitution," The B.E. Journal of Macroeconomics, De Gruyter, vol. 4(1), pages 1-36, April.
    15. Dong He & Wenlang Zhang & Jimmy Shek, 2007. "How Efficient Has Been China'S Investment? Empirical Evidence From National And Provincial Data," Pacific Economic Review, Wiley Blackwell, vol. 12(5), pages 597-617, December.
    16. Arvind Panagariya, 2007. "Why India Lags Behind China and How It Can Bridge the Gap," The World Economy, Wiley Blackwell, vol. 30(2), pages 229-248, February.
    17. William Greene, 2004. "Fixed Effects and Bias Due to the Incidental Parameters Problem in the Tobit Model," Econometric Reviews, Taylor & Francis Journals, vol. 23(2), pages 125-147.
    18. Richard Herd & Sean Dougherty, 2007. "Growth Prospects in China and India Compared," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 4(1), pages 65-89, June.
    19. Rainer Klump & Peter McAdam & Alpo Willman, 2007. "Factor Substitution and Factor-Augmenting Technical Progress in the United States: A Normalized Supply-Side System Approach," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 183-192, February.
    20. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    21. Chow, Gregory C & Li, Kui-Wai, 2002. "China's Economic Growth: 1952-2010," Economic Development and Cultural Change, University of Chicago Press, vol. 51(1), pages 247-256, October.
    22. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    23. Klump, Rainer & McAdam, Peter & Willman, Alpo, 2004. "Factor substitution and factor augmenting technical progress in the US: a normalized supply-side system approach," Working Paper Series 367, European Central Bank.
    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. Subhasankar Chattopadhyay, 2022. "Pace of structural change and inter‐sectoral relative price: The case of India and China," The World Economy, Wiley Blackwell, vol. 45(11), pages 3534-3558, November.
    2. Liang Zhou & Qinke Sun & Xuewei Dang & Shaohua Wang, 2019. "Comparison on Multi-Scale Urban Expansion Derived from Nightlight Imagery between China and India," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
    3. Li, Tingting & Lai, Jennifer T. & Wang, Yong & Zhao, Dingtao, 2016. "Long-run relationship between inequality and growth in post-reform China: New evidence from dynamic panel model," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 238-252.
    4. Gómez, Manuel A., 2015. "Capital–labor substitution and long-run growth in a model with physical and human capital," Mathematical Social Sciences, Elsevier, vol. 78(C), pages 106-113.

    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. Knoblach, Michael & Rößler, Martin & Zwerschke, Patrick, 2016. "The Elasticity of Factor Substitution Between Capital and Labor in the U.S. Economy: A Meta-Regression Analysis," CEPIE Working Papers 03/16, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    2. Jan Trenczek & Konstantin M. Wacker, 2023. "Accounting for cross-country output differences: A sectoral CES perspective," Working Papers 2023.09, International Network for Economic Research - INFER.
    3. Alvarez-Cuadrado, Francisco, 2008. "Growth outside the stable path: Lessons from the European reconstruction," European Economic Review, Elsevier, vol. 52(3), pages 568-588, April.
    4. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    5. Wei-Bin Zhang, 2017. "Discrimination and Inequality in an Integrated Walrasian-General-Equilibrium and Neoclassical-Growth Theory," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 5(1), pages 57-76, March.
    6. Li, Kui-Wai & Liu, Tung, 2011. "Economic and productivity growth decomposition: An application to post-reform China," Economic Modelling, Elsevier, vol. 28(1), pages 366-373.
    7. Michael Knoblach & Fabian Stöckl, 2020. "What Determines The Elasticity Of Substitution Between Capital And Labor? A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 847-875, September.
    8. Jakub Growiec & Anna Pajor & Dorota Gorniak & Artur Predki, 2015. "The shape of aggregate production functions: evidence from estimates of the World Technology Frontier," Bank i Kredyt, Narodowy Bank Polski, vol. 46(4), pages 299-326.
    9. Jakub Growiec, 2013. "On the measurement of technological progress across countries," Bank i Kredyt, Narodowy Bank Polski, vol. 44(5), pages 467-504.
    10. Dawson, John W. & Sturgill, Brad, 2022. "Market Institutions and Factor Shares Across Countries," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 266-289.
    11. Alberto BUCCI & Chiara DEL BO, 2009. "On the interaction between public investment and private capital in economic growth," Departmental Working Papers 2009-44, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    12. Li, Kui-Wai, 2009. "China's total factor productivity estimates by region, investment sources and ownership," Economic Systems, Elsevier, vol. 33(3), pages 213-230, September.
    13. Robert W. Arnold, 2003. "Modeling Long-Run Economic Growth: Technical Paper 2003-04," Working Papers 14497, Congressional Budget Office.
    14. Brent Neiman, 2014. "The Global Decline of the Labor Share," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 61-103.
    15. Ezra Oberfield & Devesh Raval, 2021. "Micro Data and Macro Technology," Econometrica, Econometric Society, vol. 89(2), pages 703-732, March.
    16. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2022. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 55-82, July.
    17. Mastromarco, Camilla & Ghosh, Sucharita, 2009. "Foreign Capital, Human Capital, and Efficiency: A Stochastic Frontier Analysis for Developing Countries," World Development, Elsevier, vol. 37(2), pages 489-502, February.
    18. Kenneth G. Stewart & Jiang Li, 2018. "Are factor biases and substitution identifiable? The Canadian evidence," Canadian Journal of Economics, Canadian Economics Association, vol. 51(2), pages 528-548, May.
    19. Rao, B. Bhaskara & Vadlamannati, Krishna Chaitanya, 2011. "Globalization and growth in the low income African countries with the extreme bounds analysis," Economic Modelling, Elsevier, vol. 28(3), pages 795-805, May.
    20. Xue, Jianpo & Yip, Chong K., 2013. "Aggregate elasticity of substitution and economic growth: A synthesis," Journal of Macroeconomics, Elsevier, vol. 38(PA), pages 60-75.

    More about this item

    Keywords

    Physical and human capital; Normalized CES production function; Chinese and Indian economic development;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    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:eee:jcecon:v:41:y:2013:i:3:p:879-894. See general information about how to correct material in RePEc.

    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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622864 .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.