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Eff ects of Trade liberalisation, Environmental and Labour Regulations on Employment in India's Organised Textile Sector

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  • Badri Narayanan G.

Abstract

In recent years, employment has fallen in the organised textile sector despite an aggregate rise in output and capital. This paper analyses the role of various factors that influence employment using 3- digit classi fication of Indian textile industry from 1973-74 to 1997-98. Our results document that the fall in employment can be explained in terms of rise in wages, output shocks, lack of capital utilisation and trade restrictiveness pertaining to Multi-Fibre Arrangement (MFA). Environmental regulations enhance employment in the sub-sectors that are most likely to be influenced by them. The results are robust to diff erent measures of capital, its utilisation and disaggregation to state-level. We also illustrate that in a post-MFA regime, employment in the sector is bound to increase owing to absence of trade restrictions and prospects of huge investment in general and in complying with environmental regulations, though the labour regulations might a ect the magnitude of that increase. [Working Paper No. WP-2005-005]

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  • Badri Narayanan G., 2010. "Eff ects of Trade liberalisation, Environmental and Labour Regulations on Employment in India's Organised Textile Sector," Working Papers id:2720, eSocialSciences.
    • Handle: RePEc:ess:wpaper:id:2720
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    as
    1. McKinnish, Terra, 2005. "Lagged dependent variables and specification bias," Economics Letters, Elsevier, vol. 88(1), pages 55-59, July.
    2. Kathuria, Vinish, 2007. "Informal regulation of pollution in a developing country: Evidence from India," Ecological Economics, Elsevier, vol. 63(2-3), pages 403-417, August.
    3. Donald, Stephen G & Newey, Whitney K, 2001. "Choosing the Number of Instruments," Econometrica, Econometric Society, vol. 69(5), pages 1161-1191, September.
    4. Berman, Eli & Bui, Linda T. M., 2001. "Environmental regulation and labor demand: evidence from the South Coast Air Basin," Journal of Public Economics, Elsevier, vol. 79(2), pages 265-295, February.
    5. Pargal, Sheoli & Mani, Muthukumara & Huq, Mainul, 1997. "Inspections and emissions in India : puzzling survey evidence about industrial pollution," Policy Research Working Paper Series 1810, The World Bank.
    6. Sonia R. Bhalotra, 1998. "The Puzzle of Jobless Growth in Indian Manufacturing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 60(1), pages 5-32, February.
    7. Wansbeek, Tom, 2001. "GMM estimation in panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 104(2), pages 259-268, September.
    8. repec:pru:wpaper:27 is not listed on IDEAS
    9. Bhalotra, Sonia R., 1998. "Changes in utilization and productivity in a deregulating economy," Journal of Development Economics, Elsevier, vol. 57(2), pages 391-420.
    10. Eli Berman & Linda T. M. Bui, 2001. "Environmental Regulation And Productivity: Evidence From Oil Refineries," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 498-510, August.
    11. Javier Alvarez & Manuel Arellano, 2003. "The Time Series and Cross-Section Asymptotics of Dynamic Panel Data Estimators," Econometrica, Econometric Society, vol. 71(4), pages 1121-1159, July.
    12. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    13. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    14. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
    15. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    16. Timothy Besley & Robin Burgess, 2004. "Can Labor Regulation Hinder Economic Performance? Evidence from India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 91-134.
    17. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    18. Bun, Maurice J.G. & Kiviet, Jan F., 2006. "The effects of dynamic feedbacks on LS and MM estimator accuracy in panel data models," Journal of Econometrics, Elsevier, vol. 132(2), pages 409-444, June.
    19. Roy, S.D., 1998. "Lags in Employment Adjustment and Inter-Industry Differentials: an Analysis Using Dynamic Inter-Related Factor Demand Functions," Papers 149, Indira Gandhi Institute of Development Research-.
    20. Jinyong Hahn & Guido Kuersteiner, 2002. "Asymptotically Unbiased Inference for a Dynamic Panel Model with Fixed Effects when Both "n" and "T" Are Large," Econometrica, Econometric Society, vol. 70(4), pages 1639-1657, July.
    21. Brian R. Copeland & M. Scott Taylor, 2004. "Trade, Growth, and the Environment," Journal of Economic Literature, American Economic Association, vol. 42(1), pages 7-71, March.
    22. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    23. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    24. Chaudhuri Kausik & Sheen Jeffrey R, 2007. "To Pool or to Aggregate? Tests with a Dynamic Panel Macroeconometric Model of Australian State Labor Markets," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-37, January.
    25. Fallon, Peter R. & Lucas, Robert E. B., 1993. "Job security regulations and the dynamic demand for industrial labor in India and Zimbabwe," Journal of Development Economics, Elsevier, vol. 40(2), pages 241-275, April.
    26. Giovanni S.F. Bruno, 2004. "Approximating the bias of the LSDV estimator for dynamic panel data models," United Kingdom Stata Users' Group Meetings 2004 2, Stata Users Group.
    27. Vinish Kathuria, 2004. "INFORMAL REGULATION OF POLLUTION IN A DEVELOPING COUNTRY ; Empirical Evidence from Gujarat, India A," Working Papers 2004-02, Madras School of Economics,Chennai,India.
    28. Boozer, Michael A., 1997. "Econometric Analysis of Panel DataBadi H. Baltagi Wiley, 1995," Econometric Theory, Cambridge University Press, vol. 13(5), pages 747-754, October.
    29. Ahn, Seung C. & Schmidt, Peter, 1997. "Efficient estimation of dynamic panel data models: Alternative assumptions and simplified estimation," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 309-321.
    30. Hayakawa, Kazuhiko, 2007. "Small sample bias properties of the system GMM estimator in dynamic panel data models," Economics Letters, Elsevier, vol. 95(1), pages 32-38, April.
    31. Subhash Ray & Anasua Bhattacharya, 2003. "Surplus Labor in Indian Manufacturing: Evidence from the Annual Survey of Industries," Working papers 2003-14, University of Connecticut, Department of Economics.
    32. Dev, Mahendra, 2000. "Economic Liberalisation and Employment in South Asia," Discussion Papers 281243, University of Bonn, Center for Development Research (ZEF).
    33. Andrews, Donald W. K. & Lu, Biao, 2001. "Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models," Journal of Econometrics, Elsevier, vol. 101(1), pages 123-164, March.
    34. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    35. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    36. J. P. Gould, 1968. "Adjustment Costs in the Theory of Investment of the Firm," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 35(1), pages 47-55.
    37. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    38. Roy, T., 1998. "Economic Reforms and the Textile Industry in India," Papers 146, Indira Gandhi Institute of Development Research-.
    39. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    40. Wansbeek, Tom & Bekker, Paul, 1996. "On IV, GMM and ML in a dynamic panel data model," Economics Letters, Elsevier, vol. 51(2), pages 145-152, May.
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    Cited by:

    1. Xavier Cirera & Dirk Willenbockel & Rajith W.D. Lakshman, 2014. "Evidence On The Impact Of Tariff Reductions On Employment In Developing Countries: A Systematic Review," Journal of Economic Surveys, Wiley Blackwell, vol. 28(3), pages 449-471, July.

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    More about this item

    Keywords

    organised; textile sector; capital; Multi-Fibre; utilisation;
    All these keywords.

    JEL classification:

    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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