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Factor productivity and income inequality: a general equilibrium analysis

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  • Kenneth Hanson
  • Adam Rose

Abstract

Economic growth over the past two decades has failed to reduce income inequality. We contend that major reasons for this are the slowdown and bias in technological change (productivity growth). Given the complexity of the many interactions that take place, this phenomenon is best addressed in a general equilibrium context. For this purpose, we have developed a computable general equilibrium (CGE) model with advanced features relating to income distribution. We perform a series of simulations based on recent overall productivity changes, but under various forms of technological change bias, factor mobility, and government budgetary balance. We find the labour-augmenting technological change cases to be most consistent with recent experience.

Suggested Citation

  • Kenneth Hanson & Adam Rose, 1997. "Factor productivity and income inequality: a general equilibrium analysis," Applied Economics, Taylor & Francis Journals, vol. 29(8), pages 1061-1071.
    • Handle: RePEc:taf:applec:v:29:y:1997:i:8:p:1061-1071
    DOI: 10.1080/000368497326453
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    References listed on IDEAS

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    1. Blanciforti, Laura Ann & Green, Richard D. & King, Gordon A., 1986. "U.S. Consumer Behavior over the Postwar Period: An Almost Ideal Demand System Analysis," Monographs, University of California, Davis, Giannini Foundation, number 11939, December.
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    Cited by:

    1. Jeroen Klijs & Jack Peerlings & Wim Heijman, 2017. "Introducing labour productivity changes into models used for economic impact analysis in tourism," Tourism Economics, , vol. 23(3), pages 561-576, May.
    2. Francisco Javier de Miguel Velez & Jesus Perez-Mayo, 2006. "Linear SAM models for inequality changes analysis: an application to the Extremadurian economy," Applied Economics, Taylor & Francis Journals, vol. 38(20), pages 2393-2403.
    3. Francisco Miguel & Maria Llop & Antonio Manresa, 2014. "Sectoral productivity gains in two regional economies: key sectors from a supply-side perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(3), pages 731-744, November.
    4. Chun-Chu Liu, 2006. "A computable general equilibrium model of the southern region of Taiwan: the impact of the Tainan science-based industrial park," Applied Economics, Taylor & Francis Journals, vol. 38(14), pages 1655-1661.
    5. Miguel Vélez, Francisco Javier de & Llop Llop, Maria & Manresa, Antonio, 1954-, 2013. "Supply Multipliers in Two Regional Economies," Working Papers 2072/213636, Universitat Rovira i Virgili, Department of Economics.
    6. Harvey Cutler & Stephen Davies, 2010. "The Economic Consequences of Productivity Changes: A Computable General Equilibrium (CGE) Analysis," Regional Studies, Taylor & Francis Journals, vol. 44(10), pages 1415-1426.
    7. Andrea Beltratti & Claudio Morana, 2007. "Does the stock market affect income distribution? Some empirical evidence for the US," Applied Economics Letters, Taylor & Francis Journals, vol. 14(2), pages 99-104.
    8. Yang, Hao-Yen, 2001. "Trade liberalization and pollution: a general equilibrium analysis of carbon dioxide emissions in Taiwan," Economic Modelling, Elsevier, vol. 18(3), pages 435-454, August.
    9. Miguel, Francisco Javier de & Llop Llop, Maria & Manresa, Antonio, 1954-, 2011. "Simulating the Impact of Sectorial Productivity Gains on Two Regional Economies: Key Sectors from a Supply Side Perspective," Working Papers 2072/169681, Universitat Rovira i Virgili, Department of Economics.
    10. Yang, Hao-Yen, 2001. "Carbon emissions control and trade liberalization: coordinated approaches to Taiwan's trade and tax policy," Energy Policy, Elsevier, vol. 29(9), pages 725-734, July.

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