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Causal Nexus between Billing Efficiency and Economic Growth in India: An Analysis Using Vector Autoregression

Author

Listed:
  • Asit Ranjan Mohanty
  • Devtosh Chaturvedi
  • Suresh Kumar Patra

Abstract

Energy being a major factor of production plays a pivotal role in inducing a sustained and high economic growth of an economy. This paper attempts to examine the Vector Autoregression (VAR) based Granger causality between billing efficiency and growth rate of per capita Gross Domestic Product (GDP) of India using annual time series data for the period 1970-71 to 2014-15. The conventional Augmented Dicky-Fuller and Phillips-Perron tests reveal that both the series are non-stationary and individually integrated of order one. Johansen-Juselius cointegration approach finds no evidence on the long-run equilibrium association between these variables. However, the VAR - based Granger causality approach reveals unidirectional causality running from billing efficiency to economic growth without any feedback effect. As regards policy implication, implementation of both the short term and long term measures in improving billing efficiency, through the enhancement of commercial and operational efficiency in electricity distribution sector will undoubtedly aid in achieving sustained and high economic growth in India.

Suggested Citation

  • Asit Ranjan Mohanty & Devtosh Chaturvedi & Suresh Kumar Patra, 2017. "Causal Nexus between Billing Efficiency and Economic Growth in India: An Analysis Using Vector Autoregression," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(3), pages 184-193, March.
  • Handle: RePEc:ibn:ijefaa:v:9:y:2017:i:3:p:184-193
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    References listed on IDEAS

    as
    1. Cheng, Benjamin S. & Lai, Tin Wei, 1997. "An investigation of co-integration and causality between energy consumption and economic activity in Taiwan," Energy Economics, Elsevier, vol. 19(4), pages 435-444, October.
    2. Lee, Chien-Chiang, 2005. "Energy consumption and GDP in developing countries: A cointegrated panel analysis," Energy Economics, Elsevier, vol. 27(3), pages 415-427, May.
    3. Francis, Brian M. & Moseley, Leo & Iyare, Sunday Osaretin, 2007. "Energy consumption and projected growth in selected Caribbean countries," Energy Economics, Elsevier, vol. 29(6), pages 1224-1232, November.
    4. Narayan, Paresh Kumar & Smyth, Russell, 2005. "Electricity consumption, employment and real income in Australia evidence from multivariate Granger causality tests," Energy Policy, Elsevier, vol. 33(9), pages 1109-1116, June.
    5. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    6. Yu, Eden S. H. & Jin, Jang C., 1992. "Cointegration tests of energy consumption, income, and employment," Resources and Energy, Elsevier, vol. 14(3), pages 259-266, September.
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    More about this item

    Keywords

    billing efficiency; economic growth; vector autoregression;

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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