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Sources of Growth in India: Evidence from Punjab and Haryana

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  • Sethi, Amarjit Singh

    (Punjab School of Economics)

Abstract

The present analytical study, based on regular time series data (for 30 years period from 1980/81 to 2009/10), aims at analyzing sources of output growth in the states of Punjab and Haryana vis-à-vis the overall Indian economy. Specifically, objective of the paper was to examine whether output growth in these economies has been driven primarily by inspiration or perspiration or by both. For this purpose, output-oriented DEA-based Malmquist Productivity Index approach was adopted with Net Domestic Product as output, and Labour, Capital and Electricity Consumption as three inputs. It was observed that in each of the periods (viz., pre-reforms, post reforms and the overall span), both output growth and TFP growth were the fastest in case of Haryana, followed next by the overall Indian economy. The TFP growth in Punjab continued to remain negative during all the three time spans. In a majority sectors of each of the two states’ economies, TFP growth has failed to pick up its pace during post-reforms vis-à-vis pre-reforms period. Nevertheless, tertiary sector (as also its sub-sectors) of the aggregated Indian economy registered a significant improvement in TFP growth during the reforms period. Further, as per decomposition analysis of the sources of growth, inspiration component has contributed negatively whereas perspiration component has contributed positively to output growth in all the sectors of Punjab. On the other hand, both inspiration and perspiration components have contributed, in general, positively in the Haryana state and the aggregated Indian economy. Nevertheless, growth in factor accumulation has surpassed that in TFP in all the sectors of these economies. Thus, as per the findings, the three economies, in general, and Punjab economy, in particular, need to strive for a productivity-driven economic growth, so as to achieve sustainability in the growth process. As primary sector has fared quite poorly in all the three economies and during all the periods/ sub-periods; therefore, stringent measures (such as consolidation of rural infrastructure, and promotion of agro-based rural industrialization) need be adopted for providing resilience to this sector of crucial importance (providing employment to a large chunk of the population), so as to achieve inclusiveness in the growth process.

Suggested Citation

  • Sethi, Amarjit Singh, 2016. "Sources of Growth in India: Evidence from Punjab and Haryana," Journal of Regional Development and Planning, Rajarshi Majumder, vol. 5(1), pages 15-34.
    • Handle: RePEc:ris:jrdpin:0041
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    1. Gong, Byeong-Ho & Sickles, Robin C., 1992. "Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 259-284.
    2. Reunka Mahadevan, 2007. "Sustainable Growth and Economic Development," Books, Edward Elgar Publishing, number 12756.
    3. D. W. Jorgenson & Z. Griliches, 1967. "The Explanation of Productivity Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 34(3), pages 249-283.
    4. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-598, October.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. K.P. Kalirajan & M.B. Obwona & S. Zhao, 1996. "A Decomposition of Total Factor Productivity Growth: The Case of Chinese Agricultural Growth before and after Reforms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 331-338.
    7. Joseph G. Hirschberg & Jenny N. Lye, 2001. "Clustering in a Data Envelopment Analysis Using Bootstrapped Efficiency Scores," Department of Economics - Working Papers Series 800, The University of Melbourne.
    8. Banker, Rajiv D. & Gadh, Vandana M. & Gorr, Wilpen L., 1993. "A Monte Carlo comparison of two production frontier estimation methods: Corrected ordinary least squares and data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 67(3), pages 332-343, June.
    9. Ayoe Hoff, 2006. "Bootstrapping Malmquist Indices for Danish Seiners in the North Sea and Skagerrak," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(9), pages 891-907.
    10. Amarjit Singh Sethi, 2008. "Some Methodological Aspects of Rates of Growth Computations," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 9(1), pages 195-209, June.
    11. Kelvin Balcombe & Sophia Davidova & Laure Latruffe, 2008. "The use of bootstrapped Malmquist indices to reassess productivity change findings: an application to a sample of Polish farms," Applied Economics, Taylor & Francis Journals, vol. 40(16), pages 2055-2061.
    12. Arora, Nitin, 2013. "Does Catching-up or Innovations Drive Total Factor Productivity Growth in Indian Sugar Industry? A Non-Parametric Analysis," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 48(2), pages 351-380.
    13. Tortosa-Ausina, Emili & Grifell-Tatje, Emili & Armero, Carmen & Conesa, David, 2008. "Sensitivity analysis of efficiency and Malmquist productivity indices: An application to Spanish savings banks," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1062-1084, February.
    14. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    15. Nitin Arora & Sunil Kumar, 2013. "Does Factor Accumulation or Productivity Change Drive Output Growth in the Indian Sugar Industry? An Inter-state Analysis," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(2), June.
    16. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Hsu, Shih-Hsun, 2008. "Total factor productivity growth in China's agricultural sector," China Economic Review, Elsevier, vol. 19(4), pages 580-593, December.
    17. Nin, Alejandro & Arndt, Channing & Preckel, Paul V., 2003. "Is agricultural productivity in developing countries really shrinking? New evidence using a modified nonparametric approach," Journal of Development Economics, Elsevier, vol. 71(2), pages 395-415, August.
    18. Dholakia, Ravindra H., 1986. "Sources of Economic Growth in India Implied by the Seventh Five Year Plan 1985-90," IIMA Working Papers WP1986-04-01_00681, Indian Institute of Management Ahmedabad, Research and Publication Department.
    19. Mr. Sebastian Sosa & Ms. Evridiki Tsounta & Miss Marie S Kim, 2013. "Is the Growth Momentum in Latin America Sustainable?," IMF Working Papers 2013/109, International Monetary Fund.
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    More about this item

    Keywords

    Growth; Sectoral Impact; Malmquist Productivity Index; DEA; TFP;
    All these keywords.

    JEL classification:

    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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