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Analysis of Price and Income Elasticities of Energy Demand in Ecuador: A Dynamic OLS Approach

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  • Kathia Pinz'on

Abstract

Energy consumption in Ecuador has increased significantly during the last decades, affecting negatively the financial position of the country since large energy consumption subsidies are provided in its internal market and Ecuador is mostly a crude oil exporter and oil derivatives importer country. This research seeks to state the long run price and income elasticities of energy demand in Ecuador, by analyzing information spanning the period from 1970 to 2015. A cointegration analysis and an estimation by using a Dynamic Ordinary Least Squares approach considering structural breaks is carried out. Results obtained are robust and suggest that in the long run energy demand in Ecuador is highly income elastic, has no relationship with its price and has an almost unitary but inverse relationship with the industrial production level. Conclusions and economic policy suggestions are also provided.

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  • Kathia Pinz'on, 2016. "Analysis of Price and Income Elasticities of Energy Demand in Ecuador: A Dynamic OLS Approach," Papers 1611.05288, arXiv.org.
    • Handle: RePEc:arx:papers:1611.05288
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    1. Halicioglu, Ferda, 2009. "An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey," Energy Policy, Elsevier, vol. 37(3), pages 1156-1164, March.
    2. Al-mulali, Usama & Binti Che Sab, Che Normee, 2012. "The impact of energy consumption and CO2 emission on the economic growth and financial development in the Sub Saharan African countries," Energy, Elsevier, vol. 39(1), pages 180-186.
    3. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    4. Gabriel Di Bella & Mr. Lawrence Norton & Mr. Joseph Ntamatungiro & Ms. Sumiko Ogawa & Issouf Samaké & Marika Santoro, 2015. "Energy Subsidies in Latin America and the Caribbean: Stocktaking and Policy Challenges," IMF Working Papers 2015/030, International Monetary Fund.
    5. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    6. Azlina Abd. Aziz & Nik Hashim Nik Mustapha & Roslina Ismail, 2013. "Factors Affecting Energy Demand in Developing Countries: A Dynamic Panel Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 3(Special), pages 1-6.
    7. Ahmed Al-Azzam & David Hawdon, 1999. "Estimating the Demand for Energy in Jordan: A Stock-Watson Dynamic OLS (DOLS) Approach," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 97, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    8. Clemente, Jesus & Montanes, Antonio & Reyes, Marcelo, 1998. "Testing for a unit root in variables with a double change in the mean," Economics Letters, Elsevier, vol. 59(2), pages 175-182, May.
    9. Vogelsang, Timothy J & Perron, Pierre, 1998. "Additional Tests for a Unit Root Allowing for a Break in the Trend Function at an Unknown Time," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 1073-1100, November.
    10. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2013. "Unit roots, non-linearities and structural breaks," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 4, pages 61-94, Edward Elgar Publishing.
    11. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    12. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    13. Robin L. Lumsdaine & David H. Papell, 1997. "Multiple Trend Breaks And The Unit-Root Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
    14. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    15. Masih, Abul M. M. & Masih, Rumi, 1996. "Energy consumption, real income and temporal causality: results from a multi-country study based on cointegration and error-correction modelling techniques," Energy Economics, Elsevier, vol. 18(3), pages 165-183, July.
    16. Ang, James B., 2008. "Economic development, pollutant emissions and energy consumption in Malaysia," Journal of Policy Modeling, Elsevier, vol. 30(2), pages 271-278.
    17. Han PHOUMIN & Shigeru KIMURA, 2014. "Analysis on Price Elasticity of Energy Demand in East Asia: Empirical Evidence and Policy Implications for ASEAN and East Asia," Working Papers DP-2014-05, Economic Research Institute for ASEAN and East Asia (ERIA).
    18. Soytas, Ugur & Sari, Ramazan & Ewing, Bradley T., 2007. "Energy consumption, income, and carbon emissions in the United States," Ecological Economics, Elsevier, vol. 62(3-4), pages 482-489, May.
    19. Dhakal, Shobhakar, 2009. "Urban energy use and carbon emissions from cities in China and policy implications," Energy Policy, Elsevier, vol. 37(11), pages 4208-4219, November.
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