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GDP and energy consumption: A panel analysis of the US

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  • Mahalingam, Brinda
  • Orman, Wafa Hakim

Abstract

Does energy consumption lead to economic growth or does economic growth cause energy consumption? Arguments can be made either way and empirical studies have been inconclusive. Most of the existing studies relating Gross Domestic Product (GDP) and Energy Consumption (EC) use countries as the unit of observation which complicates the interpretation and generalization of results because countries differ greatly in their stage of economic development, culture, technology and so forth. This study focuses on states within the U.S.A. which avoids many of these complications. Specifically, the relationship between state energy consumption and state GDP for the country is analyzed. Empirical results using panel cointegration and panel causality tests which allows for heterogeneity and structural breaks are applied to the country as a whole and regions within the country. There are significant regional differences within the U.S. especially for two regions; in the Rocky mountain region energy consumption Granger causes state GDP and in the Southwest it is opposite, GDP Granger causes energy consumption. The full results suggest that federal energy policy needs to be flexible to be most beneficial to the different regions.

Suggested Citation

  • Mahalingam, Brinda & Orman, Wafa Hakim, 2018. "GDP and energy consumption: A panel analysis of the US," Applied Energy, Elsevier, vol. 213(C), pages 208-218.
    • Handle: RePEc:eee:appene:v:213:y:2018:i:c:p:208-218
    DOI: 10.1016/j.apenergy.2018.01.036
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    as
    1. Tsangyao Chang & Hsiao-Ping Chu & Wen-Yi Chen, 2013. "Energy consumption and economic growth in 12 Asian countries: panel data analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 20(3), pages 282-287, February.
    2. Yildirim, Ertuğrul & Saraç, Şenay & Aslan, Alper, 2012. "Energy consumption and economic growth in the USA: Evidence from renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6770-6774.
    3. Tiwari, Aviral Kumar, 2014. "The asymmetric Granger-causality analysis between energy consumption and income in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 362-369.
    4. Herrerias, M.J. & Joyeux, R. & Girardin, E., 2013. "Short- and long-run causality between energy consumption and economic growth: Evidence across regions in China," Applied Energy, Elsevier, vol. 112(C), pages 1483-1492.
    5. Narayan, Paresh Kumar & Popp, Stephan, 2012. "The energy consumption-real GDP nexus revisited: Empirical evidence from 93 countries," Economic Modelling, Elsevier, vol. 29(2), pages 303-308.
    6. Apergis, Nicholas & Payne, James E., 2010. "A panel study of nuclear energy consumption and economic growth," Energy Economics, Elsevier, vol. 32(3), pages 545-549, May.
    7. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    8. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    9. Omri, Anis, 2014. "An international literature survey on energy-economic growth nexus: Evidence from country-specific studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 951-959.
    10. Ozturk, Ilhan, 2010. "A literature survey on energy-growth nexus," Energy Policy, Elsevier, vol. 38(1), pages 340-349, January.
    11. Payne, James E., 2009. "On the dynamics of energy consumption and output in the US," Applied Energy, Elsevier, vol. 86(4), pages 575-577, April.
    12. Kapetanios, G. & Pesaran, M. Hashem & Yamagata, T., 2011. "Panels with non-stationary multifactor error structures," Journal of Econometrics, Elsevier, vol. 160(2), pages 326-348, February.
    13. Dale W. Jorgenson, 1984. "The Role of Energy in Productivity Growth," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 11-26.
    14. Joakim Westerlund & David L. Edgerton, 2008. "A Simple Test for Cointegration in Dependent Panels with Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(5), pages 665-704, October.
    15. Tiba, Sofien & Omri, Anis, 2017. "Literature survey on the relationships between energy, environment and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1129-1146.
    16. Al-mulali, Usama & Fereidouni, Hassan Gholipour & Lee, Janice Ym & Sab, Che Normee Binti Che, 2013. "Examining the bi-directional long run relationship between renewable energy consumption and GDP growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 209-222.
    17. Steven Yamarik, 2013. "State-Level Capital And Investment: Updates And Implications," Contemporary Economic Policy, Western Economic Association International, vol. 31(1), pages 62-72, January.
    18. Simon Reese & Joakim Westerlund, 2016. "Panicca: Panic on Cross‐Section Averages," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 961-981, September.
    19. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    20. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    21. Ewing, Bradley T. & Sari, Ramazan & Soytas, Ugur, 2007. "Disaggregate energy consumption and industrial output in the United States," Energy Policy, Elsevier, vol. 35(2), pages 1274-1281, February.
    22. Stern, David I., 1993. "Energy and economic growth in the USA : A multivariate approach," Energy Economics, Elsevier, vol. 15(2), pages 137-150, April.
    23. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    24. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    25. Dipa Adhikari & Yanying Chen, 2013. "Energy Consumption and Economic Growth: A Panel Cointegration Analysis for Developing Countries," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 68-80, May.
    26. Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "CO2 emissions, nuclear energy, renewable energy and economic growth in the US," Energy Policy, Elsevier, vol. 38(6), pages 2911-2915, June.
    27. Akkemik, K. Ali & Göksal, Koray, 2012. "Energy consumption-GDP nexus: Heterogeneous panel causality analysis," Energy Economics, Elsevier, vol. 34(4), pages 865-873.
    28. Yu, Eden S. H. & Hwang, Been-Kwei, 1984. "The relationship between energy and GNP : Further results," Energy Economics, Elsevier, vol. 6(3), pages 186-190, July.
    29. Bowden, Nicholas & Payne, James E., 2009. "The causal relationship between U.S. energy consumption and real output: A disaggregated analysis," Journal of Policy Modeling, Elsevier, vol. 31(2), pages 180-188.
    30. Stern, David I., 2000. "A multivariate cointegration analysis of the role of energy in the US macroeconomy," Energy Economics, Elsevier, vol. 22(2), pages 267-283, April.
    31. Fallahi, Firouz, 2011. "Causal relationship between energy consumption (EC) and GDP: A Markov-switching (MS) causality," Energy, Elsevier, vol. 36(7), pages 4165-4170.
    32. Liddle, Brantley & Lung, Sidney, 2015. "Revisiting energy consumption and GDP causality: Importance of a priori hypothesis testing, disaggregated data, and heterogeneous panels," Applied Energy, Elsevier, vol. 142(C), pages 44-55.
    33. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    34. Bai, Jushan & Ng, Serena, 2010. "Panel Unit Root Tests With Cross-Section Dependence: A Further Investigation," Econometric Theory, Cambridge University Press, vol. 26(4), pages 1088-1114, August.
    35. David Canning & Peter Pedroni, 2008. "Infrastructure, Long‐Run Economic Growth And Causality Tests For Cointegrated Panels," Manchester School, University of Manchester, vol. 76(5), pages 504-527, September.
    36. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    37. 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.
    38. Jalil, Abdul, 2014. "Energy–growth conundrum in energy exporting and importing countries: Evidence from heterogeneous panel methods robust to cross-sectional dependence," Energy Economics, Elsevier, vol. 44(C), pages 314-324.
    39. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    40. Sari, Ramazan & Ewing, Bradley T. & Soytas, Ugur, 2008. "The relationship between disaggregate energy consumption and industrial production in the United States: An ARDL approach," Energy Economics, Elsevier, vol. 30(5), pages 2302-2313, September.
    41. Akkemik, K. Ali & Göksal, Koray & Li, Jia, 2012. "Energy consumption and income in Chinese provinces: Heterogeneous panel causality analysis," Applied Energy, Elsevier, vol. 99(C), pages 445-454.
    42. Gasper A. Garofalo & Steven Yamarik, 2002. "Regional Convergence: Evidence From A New State-By-State Capital Stock Series," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 316-323, May.
    43. Carmona, Mónica & Feria, Julia & Golpe, Antonio A. & Iglesias, Jesus, 2017. "Energy consumption in the US reconsidered. Evidence across sources and economic sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1055-1068.
    44. 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.
    45. Dedeoğlu, Dinçer & Kaya, Hüseyin, 2013. "Energy use, exports, imports and GDP: New evidence from the OECD countries," Energy Policy, Elsevier, vol. 57(C), pages 469-476.
    46. Lee, Chien-Chiang, 2006. "The causality relationship between energy consumption and GDP in G-11 countries revisited," Energy Policy, Elsevier, vol. 34(9), pages 1086-1093, June.
    47. Apergis, Nicholas & Payne, James E. & Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth," Ecological Economics, Elsevier, vol. 69(11), pages 2255-2260, September.
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