IDEAS home Printed from https://ideas.repec.org/a/ibn/ibrjnl/v11y2018i8p38-47.html
   My bibliography  Save this article

Structural Change behind GDP Growth Rates via Key Indicators: Chile 1996-2015

Author

Listed:
  • J.M. Albala-Bertrand

Abstract

This paper deals with the change of some aggregate structural indicators in Chile over the 20-year period 1996-2015. We first produce an accounting growth decomposition to assess the changes in the contribution of capital productivity, capital intensity and labour participation to the growth rate of output per capita as well as the growth rate of labour income participation in national income. We then combine an accounting growth decomposition with a standard production function growth accounting to assess the contribution of both capital productivity and capital intensity to total factor productivity (TFP). To complement the latter, we produce optimal estimates of incremental capital productivity and incremental income elasticity to capital by means of a linear programming exercise. Our main conclusion is that capital intensity, rather than capital productivity or labour participation, has been the main growth contributor. TFP has contributed in a decreasing way from positive to negative over our sub-periods, so adding to and subtracting from GDP growth over time, with the main positive contributor to TFP growth systematically being a proportion of capital intensity.

Suggested Citation

  • J.M. Albala-Bertrand, 2018. "Structural Change behind GDP Growth Rates via Key Indicators: Chile 1996-2015," International Business Research, Canadian Center of Science and Education, vol. 11(8), pages 38-47, August.
    • Handle: RePEc:ibn:ibrjnl:v:11:y:2018:i:8:p:38-47
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ibr/article/download/76395/42246
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/ibr/article/view/76395
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hofman, André A., 2000. "The economic development of Latin America in the twentieth century," Copublicaciones, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 1650 edited by Eclac.
    2. Jose Miguel Albala-Bertrand, 2003. "An Economical Approach to Estimate a Benchmark Capital Stock. An Optimal Consistency Method," Working Papers 503, Queen Mary University of London, School of Economics and Finance.
    3. Jose Miguel Albala-Bertrand, 2007. "Net Capital Stock and Capital Productivity for China and Regions: 1960-2005. An Optimal Consistency Method," Working Papers 610, Queen Mary University of London, School of Economics and Finance.
    4. Hulten, Charles R, 1992. "Growth Accounting When Technical Change Is Embodied in Capital," American Economic Review, American Economic Association, vol. 82(4), pages 964-980, September.
    5. Eric Krassoi Peach & T. Stanley, 2009. "Efficiency Wages, Productivity and Simultaneity: A Meta-Regression Analysis," Journal of Labor Research, Springer, vol. 30(3), pages 262-268, September.
    6. Jose Miguel Albala-Bertrand, 2007. "Net Capital Stock and Capital Productivity for China and Regions: 1960-2005. An Optimal Consistency Method," Working Papers 610, Queen Mary University of London, School of Economics and Finance.
    7. J. M. Albala-Bertrand, 2010. "A contribution to estimate a benchmark capital stock. An optimal consistency method," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(6), pages 715-729.
    8. Charles R. Hulten, 1992. "Growth Accounting When Technical Change is Embodied in Capital," NBER Working Papers 3971, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    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. Jose Miguel Albala-Bertrand, 2013. "Evolution of Structural Indicators. China and Regions: 1981-2010," Working Papers 701, Queen Mary University of London, School of Economics and Finance.
    2. Jose Miguel Albala-Bertrand, 2007. "Net Capital Stock and Capital Productivity for China and Regions: 1960-2005. An Optimal Consistency Method," Working Papers 610, Queen Mary University of London, School of Economics and Finance.
    3. Jose Miguel Albala-Bertrand, 2007. "Net Capital Stock and Capital Productivity for China and Regions: 1960-2005. An Optimal Consistency Method," Working Papers 610, Queen Mary University of London, School of Economics and Finance.
    4. Jose Miguel Albala-Bertrand, 2013. "Evolution of Structural Indicators. China and Regions: 1981-2010," Working Papers 701, Queen Mary University of London, School of Economics and Finance.
    5. Hofman, André A., 2000. "Economic growth and performance in Latin America," Series Históricas 7535, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    6. Jose Miguel Albala-Bertrand, 2003. "An Economical Approach to Estimate a Benchmark Capital Stock. An Optimal Consistency Method," Working Papers 503, Queen Mary University of London, School of Economics and Finance.
    7. Jose Miguel Albala-Bertrand, 2001. "A Benchmark Estimate for the Capital Stock. An Optimal Consistency Method," Working Papers 434, Queen Mary University of London, School of Economics and Finance.
    8. Jose Miguel Albala-Bertrand, 2003. "An Economical Approach to Estimate a Benchmark Capital Stock. An Optimal Consistency Method," Working Papers 503, Queen Mary University of London, School of Economics and Finance.
    9. He, Yiming & Fullerton, Thomas M. & Walke, Adam G., 2017. "Electricity consumption and metropolitan economic performance in Guangzhou: 1950–2013," Energy Economics, Elsevier, vol. 63(C), pages 154-160.
    10. Hamid Falatoon & Mohammad Safarzadeh, 2006. "Technological innovations and economic prosperity: A time series analysis," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 53(2), pages 240-248, June.
    11. Hideyuki Mizobuchi, 2015. "Multiple Directions for Measuring Biased Technical Change," CEPA Working Papers Series WP092015, School of Economics, University of Queensland, Australia.
    12. Rosés, Joan R., 2008. "Proximate causes of economic growth in Spain, 1850-2000," IFCS - Working Papers in Economic History.WH wp08-12, Universidad Carlos III de Madrid. Instituto Figuerola.
    13. Meschi, Elena & Taymaz, Erol & Vivarelli, Marco, 2011. "Trade, technology and skills: Evidence from Turkish microdata," Labour Economics, Elsevier, vol. 18(S1), pages 60-70.
    14. Mazouch, P. & Krejčí, I., 2016. "The Analysis of the Age Structure of Regional Fixed Capital in the Agriculture," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 8(2), pages 1-13, June.
    15. Georges Daw, 2022. "Determinants of Wealth Disparities in the EU: A Multi-scale Development Accounting Investigation," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 64(2), pages 211-254, June.
    16. Garcia, Angel & Jaumandreu, Jordi & Rodriguez, Cesar, 2004. "Innovation and jobs: evidence from manufacturing firms," MPRA Paper 1204, University Library of Munich, Germany.
    17. Keller, Wolfgang, 2001. "The Geography and Channels of Diffusion at the World's Technology Frontier," Discussion Paper Series 26140, Hamburg Institute of International Economics.
    18. Gittleman, Maury & ten Raa, Thijs & Wolff, Edward N., 2006. "The vintage effect in TFP-growth: An analysis of the age structure of capital," Structural Change and Economic Dynamics, Elsevier, vol. 17(3), pages 306-328, September.
    19. Eaton, Jonathan & Kortum, Samuel, 2001. "Trade in capital goods," European Economic Review, Elsevier, vol. 45(7), pages 1195-1235.
    20. Daniel J. Wilson, 2002. "Is Embodied Technology the Result of Upstream R&D? Industry-Level Evidence," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 285-317, April.

    More about this item

    Keywords

    structural change; incremental capital productivity; growth decomposition; optimal consistency method (OCM); total factor productivity (TFP);
    All these keywords.

    JEL classification:

    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment

    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:ibn:ibrjnl:v:11:y:2018:i:8:p:38-47. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.