Main Article Content

Abstract

Purpose ― In the present study, the effects of labor market distortions on economic structure and efficiency are estimated for seven emerging-market countries: Brazil, China, Indonesia, India, Mexico, Russia, and Turkey.
Methods ― The estimates are based on a computable equilibrium (CGE) model that allows simulation of the inter-industry links of 56 industries plus a sector representing the rest of the world from data collected in the World Input-Output Database (Release 2016) for the period 2000-2014.
Findings ― The results show that wage differentials appear to be distortionary, especially in the cases of countries with high wage-income inequality. Moreover, it seems that labor market distortions in emerging-market countries are subject to the rural-urban dichotomy and urban labor-market imperfections. Finally, the results show that the removal of wage differentials affects the terms of trade, which are improved in most but not all cases.
Implication ― The conclusions of the present study have policy implications. In countries where the rural-urban dichotomy is the main distortion in labor markets, increasing urbanization can stimulate efficiency; when this is not the case, further reform of urban labor markets is needed. However, it cannot be ruled out in advance that a policy aimed at enhancing labor mobility may have a negative impact on the terms of trade.
Originality ― The estimation method used in the present study presents certain advances over others found in the literature, as it becomes possible to estimate the effects of labor-market distortions while considering the interdependencies between different sectors, as well as to plausibly estimate the effects on trade. The present study also uses a large quantity of data, which is expected to add robustness to the study’s conclusion.

Keywords

Emerging Markets labour market distortions input-output Computable General Equilibrium (CGE) Model

Article Details

How to Cite
Liboreiro, P. R. (2023). Labor market distortions in major emerging-market economies: Some CGE estimates. Economic Journal of Emerging Markets, 15(2), 129–142. https://doi.org/10.20885/ejem.vol15.iss2.art2

References

  1. Aoki, S. (2012). A simple accounting framework for the effect of resource misallocation on aggregate productivity. Journal of the Japanese and International Economies, 26(4), 473–494. https://doi.org/10.1016/j.jjie.2012.08.001
  2. Arrow, K. J., & Hahn, F. (1971). General competitive analysis. Holden-Day, Inc.
  3. Bartelsman, E., Haltiwanger, J., & Scarpetta, S. (2013). Cross-country differences in productivity: The role of allocation and selection. American Economic Review, 103(1), 305–334. https://doi.org/10.1257/aer.103.1.305
  4. Bento, P., & Restuccia, D. (2017). Misallocation, establishment size, and productivity. American Economic Journal: Macroeconomics, 9(3), 267–303. https://doi.org/10.1257/mac.20150281
  5. Bhagwati, J. N. (1968). Distortions and immiserizing growth: A generalization. The Review of Economic Studies, 35(4), 481. https://doi.org/10.2307/2296774
  6. Bhagwati, J., & Ramaswami, V. K. (1963). Domestic distortions, tariffs and the theory of optimum subsidy. Journal of Political Economy, 71(1), 44–50. https://doi.org/10.1086/258733
  7. Broda, C., & Weinstein, D. E. (2006). Globalization and the gains from variety. The Quarterly Journal of Economics, 121(2), 541–585. https://doi.org/10.1162/qjec.2006.121.2.541
  8. de Melo, J. A. P. (1977). Distortions in the factor market: Some general equilibrium estimates. The Review of Economics and Statistics, 59(4), 398. https://doi.org/10.2307/1928704
  9. Dietzenbacher, E., Lenzen, M., Los, B., Guan, D., Lahr, M. L., Sancho, F., Suh, S., & Yang, C. (2013). Input-output analysis: The next 25 years. Economic Systems Research, 25(4), 369–389. https://doi.org/10.1080/09535314.2013.846902
  10. Emran, M. S., & Shilpi, F. (2010). Estimating an import demand function in developing countries: A structural econometric approach with applications to India and Sri Lanka. Review of International Economics, 18(2), 307–319. https://doi.org/10.1111/j.1467-9396.2010.00865.x
  11. Faini, R., Pritchett, L., & Clavijo, F. (1988). Import demand in developing countries. Policy Research Working Paper Series No. 122, The World Bank.
  12. Fishlow, A., & David, P. A. (1961). Optimal resource allocation in an imperfect market setting. Journal of Political Economy, 69(6), 529–546. https://doi.org/10.1086/258574
  13. Freeman, R. B., & Oostendorp, R. H. (2002). Wages around the world: Pay across occupations and countries. In R.B. Freeman (Ed.), Inequality around the world. Palgrave Macmillan. https://doi.org/10.1007/978-1-137-09971-6_2
  14. Günther, I., & Launov, A. (2012). Informal employment in developing countries. Journal of Development Economics, 97(1), 88–98. https://doi.org/10.1016/j.jdeveco.2011.01.001
  15. Hendel, I., & Nevo, A. (2006). Measuring the implications of sales and consumer inventory behavior. Econometrica, 74(6), 1637–1673. https://doi.org/10.1111/j.1468-0262.2006.00721.x
  16. Hong, P. (2001). Import elasticities revisited. DESA Discussion Paper No. 10. https://doi.org/10.2139/ssrn.288599
  17. Hopenhayn, H. A. (2014). Firms, misallocation, and aggregate productivity: A review. Annual Review of Economics, 6(1), 735–770. https://doi.org/10.1146/annurev-economics-082912-110223
  18. Hsieh, C.-T., & Klenow, P. J. (2009). Misallocation and manufacturing TFP in China and India *. Quarterly Journal of Economics, 124(4), 1403–1448. https://doi.org/10.1162/qjec.2009.124.4.1403
  19. Jha, P., & Hasan, R. (2022). Labor market policies, informality and misallocation. Indian Growth and Development Review, 15(1), 18–59. https://doi.org/10.1108/IGDR-05-2021-0067
  20. Johnson, H. G. (1966). Factor market distortions and the shape of the transformation curve. Econometrica, 34(3), 686. https://doi.org/10.2307/1909777
  21. Kemfert, C. (1998). Estimated substitution elasticities of a nested CES production function approach for Germany. Energy Economics, 20(3), 249–264. https://doi.org/10.1016/S0140-9883(97)00014-5
  22. Koesler, S., & Schymura, M. (2015). Substitution elasticities in a constant elasticity of substitution framework – Empirical estimates using nonlinear least squares. Economic Systems Research, 27(1), 101–121. https://doi.org/10.1080/09535314.2014.926266
  23. Kwon, J. K., & Paik, H. (1995). Factor price distortions, resource allocation, and growth: A computable general equilibrium analysis. The Review of Economics and Statistics, 77(4), 664. https://doi.org/10.2307/2109814
  24. Liboreiro, P. R. (2022a). Estimating disguised unemployment in major middle-income countries by means of nonlinear input–output analysis, 2000–2014. Economic Systems Research, 1–24. https://doi.org/10.1080/09535314.2022.2135091
  25. Liboreiro, P. R. (2022b). Input-output analysis of some topics in economic structure and structural change. [Doctoral Thesis, Universidad Complutense de Madrid]. https://hdl.handle.net/20.500.14352/3952
  26. Magee, S. P. (1973). Factor market distortions, production, and trade: A survey. Oxford Economic Papers, 25(1), 1–43. https://doi.org/10.1093/oxfordjournals.oep.a041239
  27. Muhammad, A., Seale, J. L., Meade, B., & Regmi, A. (2011). International evidence on food consumption patterns: An update using 2005 international comparison program data. USDA-ERS Technical Bulletin No. 1929. https://doi.org/10.2139/ssrn.2114337
  28. Okagawa, A., & Kanemi, B. A. N. (2008). Estimation of substitution elasticities for CGE models. Discussion Papers in Economics and Business No. 08–16.
  29. Pratap, S., & Quintin, E. (2006). Are labor markets segmented in developing countries? A semiparametric approach. European Economic Review, 50(7), 1817–1841. https://doi.org/10.1016/j.euroecorev.2005.06.004
  30. Restuccia, D., & Rogerson, R. (2017). The causes and costs of misallocation. Journal of Economic Perspectives, 31(3), 151–174. https://doi.org/10.1257/jep.31.3.151
  31. Rosenzweig, M. R. (1988). Labor markets in low-income countries. In H. Chenery & T.N. Srinivasan (Eds.), Handbook of Development Economics (pp. 713–762). Elsevier. https://doi.org/10.1016/S1573-4471(88)01018-6
  32. Timmer, M. P., Dietzenbacher, E., Los, B., Stehrer, R., & de Vries, G. J. (2015). An illustrated user guide to the world input–output database: The case of global automotive production. Review of International Economics, 23(3), 575–605. https://doi.org/10.1111/roie.12178
  33. van der Werf, E. (2008). Production functions for climate policy modeling: An empirical analysis. Energy Economics, 30(6), 2964–2979. https://doi.org/10.1016/j.eneco.2008.05.008
  34. Zhang, S., Luo, J., Huang, D.-H., & Xu, J. (2023). Market distortion, factor misallocation, and efficiency loss in manufacturing enterprises. Journal of Business Research, 154, 113290. https://doi.org/10.1016/j.jbusres.2022.08.054