Time-varying income and price elasticities for energy demand: Evidence from a middle-income panel
Author
Abstract
Suggested Citation
DOI: 10.1016/j.eneco.2020.104681
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017.
"A meta-analysis on the price elasticity of energy demand,"
Energy Policy, Elsevier, vol. 102(C), pages 549-568.
- Xavier Labandeira & José M.aría Labeaga & Xiral López-Otero, 2015. "A meta-analysis on the price elasticity of energy demand," Working Papers 04-2015, Economics for Energy.
- Arthur van Benthem & Mattia Romani, 2009. "Fuelling Growth: What Drives Energy Demand in Developing Countries?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 91-114.
- Zsuzsanna Csereklyei, M. d. Mar Rubio-Varas, and David I. Stern, 2016.
"Energy and Economic Growth: The Stylized Facts,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
- Zsuzsanna Csereklyei & M. d. Mar Rubio-Varas & David I. Stern, 2016. "Energy and Economic Growth: The Stylized Facts," The Energy Journal, , vol. 37(2), pages 223-256, April.
- Csereklyei, Zszsanna & Varas, Mar Rubio & Stern, David I., 2014. "Energy and Economic Growth: The Stylized Facts," Working Papers 249502, Australian National University, Centre for Climate Economics & Policy.
- Zsuzsanna Csereklyei & Maria del Mar Rubio Varas & David I. Stern, 2014. "Energy and Economic Growth: The Stylized Facts," CCEP Working Papers 1417, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
- Karimu, Amin & Brännlund, Runar, 2013. "Functional form and aggregate energy demand elasticities: A nonparametric panel approach for 17 OECD countries," Energy Economics, Elsevier, vol. 36(C), pages 19-27.
- Inglesi-Lotz, R., 2011. "The evolution of price elasticity of electricity demand in South Africa: A Kalman filter application," Energy Policy, Elsevier, vol. 39(6), pages 3690-3696, June.
- Eberhardt, Markus & Presbitero, Andrea F., 2015. "Public debt and growth: Heterogeneity and non-linearity," Journal of International Economics, Elsevier, vol. 97(1), pages 45-58.
- 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.
- Pesaran, M.H., 2003. "A Simple Panel Unit Root Test in the Presence of Cross Section Dependence," Cambridge Working Papers in Economics 0346, Faculty of Economics, University of Cambridge.
- Pesaran, M. Hashem & Smith, Ron, 1995.
"Estimating long-run relationships from dynamic heterogeneous panels,"
Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
- Pesaran, M.H. & Smith, R., 1992. "Estimating Long-Run Relationships From Dynamic Heterogeneous Panels," Cambridge Working Papers in Economics 9215, Faculty of Economics, University of Cambridge.
- Silvapulle, Param & Smyth, Russell & Zhang, Xibin & Fenech, Jean-Pierre, 2017. "Nonparametric panel data model for crude oil and stock market prices in net oil importing countries," Energy Economics, Elsevier, vol. 67(C), pages 255-267.
- Amy K. Richmond & Robert K. Kaufmann, 2006.
"Energy Prices and Turning Points: The Relationship between Income and Energy Use/Carbon Emissions,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 157-180.
- Amy K. Richmond & Robert K. Kaufmann, 2006. "Energy Prices and Turning Points: The Relationship between Income and Energy Use/Carbon Emissions," The Energy Journal, , vol. 27(4), pages 157-180, October.
- M. Hashem Pesaran, 2021.
"General diagnostic tests for cross-sectional dependence in panels,"
Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
- Pesaran, M.H., 2004. "‘General Diagnostic Tests for Cross Section Dependence in Panels’," Cambridge Working Papers in Economics 0435, Faculty of Economics, University of Cambridge.
- Pesaran, M. Hashem, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," IZA Discussion Papers 1240, Institute of Labor Economics (IZA).
- M. Hashem Pesaran, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," CESifo Working Paper Series 1229, CESifo.
- Degui Li & Jia Chen & Jiti Gao, 2011.
"Non‐parametric time‐varying coefficient panel data models with fixed effects,"
Econometrics Journal, Royal Economic Society, vol. 14(3), pages 387-408, October.
- Degui Li & Jia Chen & Jiti Gao, 2010. "Nonparametric Time-Varying Coefficient Panel Data Models with Fixed Effects," School of Economics and Public Policy Working Papers 2010-08, University of Adelaide, School of Economics and Public Policy.
- Valderrama, Diego, 2007.
"Statistical nonlinearities in the business cycle: A challenge for the canonical RBC model,"
Journal of Economic Dynamics and Control, Elsevier, vol. 31(9), pages 2957-2983, September.
- Diego Valderrama, 2002. "Statistical nonlinearities in the business cycle: a challenge for the canonical RBC model," Working Paper Series 2002-13, Federal Reserve Bank of San Francisco.
- Brookes, L G, 1972. "More on the Output Elasticity of Energy Consumption," Journal of Industrial Economics, Wiley Blackwell, vol. 21(1), pages 83-92, November.
- Jeyhun I. Mikayilov & Fakhri J. Hasanov & Carlo A. Bollino & Ceyhun Mahmudlu, 2017. "Modeling of Electricity Demand for Azerbaijan: Time-Varying Coefficient Cointegration Approach," Energies, MDPI, vol. 10(11), pages 1-12, November.
- Wang, Nan & Mogi, Gento, 2017. "Industrial and residential electricity demand dynamics in Japan: How did price and income elasticities evolve from 1989 to 2014?," Energy Policy, Elsevier, vol. 106(C), pages 233-243.
- Brantley Liddle and Hillard Huntington, 2020.
"Revisiting the Income Elasticity of Energy Consumption: A Heterogeneous, Common Factor, Dynamic OECD & non-OECD Country Panel Analysis,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 207-230.
- Brantley Liddle & Hillard Huntington, 2020. "Revisiting the Income Elasticity of Energy Consumption: A Heterogeneous, Common Factor, Dynamic OECD &non-OECD Country Panel Analysis," The Energy Journal, , vol. 41(3), pages 207-230, May.
- Adom, Philip Kofi & Bekoe, William, 2013. "Modelling electricity demand in Ghana revisited: The role of policy regime changes," Energy Policy, Elsevier, vol. 61(C), pages 42-50.
- Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2008.
"Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand,"
The Energy Journal, International Association for Energy Economics, vol. 29(1), pages 113-134.
- Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2006. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," NBER Working Papers 12530, National Bureau of Economic Research, Inc.
- Christopher Knittel & Daniel Sperling, 2006. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," Working Papers 97, University of California, Davis, Department of Economics.
- Awaworyi Churchill, Sefa & Inekwe, John & Smyth, Russell & Zhang, Xibin, 2019. "R&D intensity and carbon emissions in the G7: 1870–2014," Energy Economics, Elsevier, vol. 80(C), pages 30-37.
- Yonghui Zhang & Liangjun Su & Peter C. B. Phillips, 2012.
"Testing for common trends in semi‐parametric panel data models with fixed effects,"
Econometrics Journal, Royal Economic Society, vol. 15(1), pages 56-100, February.
- Yonghui Zhang & Liangjun Su & Peter C.B. Phillips, 2011. "Testing for Common Trends in Semiparametric Panel Data Models with Fixed Effects," Cowles Foundation Discussion Papers 1832, Cowles Foundation for Research in Economics, Yale University.
- Chudik, Alexander & Pesaran, M. Hashem, 2015.
"Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors,"
Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
- Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
- Alexander Chudik & M. Hashem Pesaran, 2013. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Globalization Institute Working Papers 146, Federal Reserve Bank of Dallas.
- Alexander Chudik & M. Hashem Pesaran, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," CESifo Working Paper Series 4232, CESifo.
- Ashley, Richard A & Patterson, Douglas M, 1989. "Linear versus Nonlinear Macroeconomies: A Statistical Test," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(3), pages 685-704, August.
- Neto, David, 2012. "Testing and estimating time-varying elasticities of Swiss gasoline demand," Energy Economics, Elsevier, vol. 34(6), pages 1755-1762.
- Roger Fouquet, 2014. "Editor's Choice Long-Run Demand for Energy Services: Income and Price Elasticities over Two Hundred Years," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 8(2), pages 186-207.
- Davidson, James & Monticini, Andrea & Peel, David, 2007. "Implementing the wild bootstrap using a two-point distribution," Economics Letters, Elsevier, vol. 96(3), pages 309-315, September.
- Chang, Yoosoon & Choi, Yongok & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y., 2016.
"Disentangling temporal patterns in elasticities: A functional coefficient panel analysis of electricity demand,"
Energy Economics, Elsevier, vol. 60(C), pages 232-243.
- Yoosoon Chang & Yongok Choi & Chang Sik Kim & Joon Y. Park & J. Isaac Miller, 2013. "Disentangling Temporal Patterns in Elasticities: A Functional Coefficient Panel Analysis of Electricity Demand," Working Papers 1320, Department of Economics, University of Missouri.
- Nguyen-Van, Phu, 2010.
"Energy consumption and income: A semiparametric panel data analysis,"
Energy Economics, Elsevier, vol. 32(3), pages 557-563, May.
- Phu Nguyen-Van, 2009. "Energy consumption and income : a semiparametric panel data analysis," Working Papers of BETA 2009-26, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Richmond, Amy K. & Kaufmann, Robert K., 2006. "Is there a turning point in the relationship between income and energy use and/or carbon emissions?," Ecological Economics, Elsevier, vol. 56(2), pages 176-189, February.
- Chang, Yoosoon & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand with an Application to Korea," Energy Economics, Elsevier, vol. 46(C), pages 334-347.
- Ruth A. Judson & Richard Schmalensee & Thomas M. Stoker, 1999.
"Economic Development and the Structure of the Demand for Commercial Energy,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 29-57.
- Ruth A. Judson & Richard Schmalensee & Thomas M. Stoker, 1999. "Economic Development and the Structure of the Demand for Commercial Energy," The Energy Journal, , vol. 20(2), pages 29-57, April.
- Hailemariam, Abebe & Smyth, Russell & Zhang, Xibin, 2019. "Oil prices and economic policy uncertainty: Evidence from a nonparametric panel data model," Energy Economics, Elsevier, vol. 83(C), pages 40-51.
- Kenneth B. Medlock III & Ronald Soligo, 2001. "Economic Development and End-Use Energy Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 77-105.
- Rossana Galli, 1998. "The Relationship Between Energy Intensity and Income Levels: Forecasting Long Term Energy Demand in Asian Emerging Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 85-105.
- Yoosoon Chang & Chang Sik Kim & J. Isaac Miller & Joon Y. Park & Sungkeun Park, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand," Working Papers 1409, Department of Economics, University of Missouri.
- Luzzati, T. & Orsini, M., 2009. "Investigating the energy-environmental Kuznets curve," Energy, Elsevier, vol. 34(3), pages 291-300.
- Fouquet, Roger, 2014. "Long run demand for energy services: income and price elasticities over two hundred years," LSE Research Online Documents on Economics 59070, London School of Economics and Political Science, LSE Library.
- Neftci, Salih N, 1984. "Are Economic Time Series Asymmetric over the Business Cycle?," Journal of Political Economy, University of Chicago Press, vol. 92(2), pages 307-328, April.
- Arthur A. van Benthem, 2015. "Energy Leapfrogging," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(1), pages 93-132.
- Park, Sung Y. & Zhao, Guochang, 2010. "An estimation of U.S. gasoline demand: A smooth time-varying cointegration approach," Energy Economics, Elsevier, vol. 32(1), pages 110-120, January.
- Arisoy, Ibrahim & Ozturk, Ilhan, 2014. "Estimating industrial and residential electricity demand in Turkey: A time varying parameter approach," Energy, Elsevier, vol. 66(C), pages 959-964.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Liddle, Brantley, 2023. "Is timing everything? Assessing the evidence on whether energy/electricity demand elasticities are time-varying," Energy Economics, Elsevier, vol. 124(C).
- Gao, Jiti & Peng, Bin & Smyth, Russell, 2021.
"On income and price elasticities for energy demand: A panel data study,"
Energy Economics, Elsevier, vol. 96(C).
- Jiti Gao & Bin peng & Russell Smyth, 2020. "On Income and Price Elasticities for Energy Demand: A Panel Data Study," Monash Econometrics and Business Statistics Working Papers 28/20, Monash University, Department of Econometrics and Business Statistics.
- Liddle, Brantley & Huntington, Hillard, 2021. "There’s Technology Improvement, but is there Economy-wide Energy Leapfrogging? A Country Panel Analysis," World Development, Elsevier, vol. 140(C).
- Salisu, Afees A. & Ayinde, Taofeek O., 2016. "Modeling energy demand: Some emerging issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1470-1480.
- Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2024.
"Common Trends and Country Specific Heterogeneities in Long-Run World Energy Consumption,"
Working Papers
No 01/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2024. "Common Trends and Country Specific Heterogeneities in Long-Run World Energy Consumption," CAMA Working Papers 2024-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2024. "Common Trends and Country Specific Heterogeneities in Long-Run World Energy Consumption," Working Papers 2401, Department of Economics, University of Missouri.
- Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2024. "Common Trends and Country Specific Heterogeneities in Long-Run World Energy Consumption," CAEPR Working Papers 2024-001 Classification-1, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Chang, Yoosoon & Choi, Yongok & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y., 2016.
"Disentangling temporal patterns in elasticities: A functional coefficient panel analysis of electricity demand,"
Energy Economics, Elsevier, vol. 60(C), pages 232-243.
- Yoosoon Chang & Yongok Choi & Chang Sik Kim & Joon Y. Park & J. Isaac Miller, 2013. "Disentangling Temporal Patterns in Elasticities: A Functional Coefficient Panel Analysis of Electricity Demand," Working Papers 1320, Department of Economics, University of Missouri.
- Hilde C. Bjørnland & Malin C. Jensen & Leif Anders Thorsrud, 2023.
"Business Cycle and Health Dynamics during the COVID-19 Pandemic. A Scandinavian Perspective,"
Working Papers
No 15/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Hilde C. Bjornland & Malin C. Jensen & Leif Anders Thorsrud, 2024. "Business Cycle and Health Dynamics during the COVID-19 Pandemic: A Scandinavian Perspective," CAMA Working Papers 2024-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Chang, Yoosoon & Choi, Yongok & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y., 2021.
"Forecasting regional long-run energy demand: A functional coefficient panel approach,"
Energy Economics, Elsevier, vol. 96(C).
- Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2019. "Forecasting Regional Long-Run Energy Demand: A Functional Coefficient Panel Approach," Working Papers 1915, Department of Economics, University of Missouri.
- Awaworyi Churchill, Sefa & Inekwe, John & Ivanovski, Kris & Smyth, Russell, 2020. "The Environmental Kuznets Curve across Australian states and territories," Energy Economics, Elsevier, vol. 90(C).
- Liddle, Brantley & Sadorsky, Perry, 2020. "How much do asymmetric changes in income and energy prices affect energy demand?," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
- Liddle, Brantley & Hasanov, Fakhri J. & Parker, Steven, 2022. "Your mileage may vary: Have road-fuel demand elasticities changed over time in middle-income countries?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 38-53.
- Brantley Liddle & Fakhri Hasanov, 2022. "Industry electricity price and output elasticities for high-income and middle-income countries," Empirical Economics, Springer, vol. 62(3), pages 1293-1319, March.
- Agovino, Massimiliano & Bartoletto, Silvana & Garofalo, Antonio, 2019. "Modelling the relationship between energy intensity and GDP for European countries: An historical perspective (1800–2000)," Energy Economics, Elsevier, vol. 82(C), pages 114-134.
- Chang, Yoosoon & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand with an Application to Korea," Energy Economics, Elsevier, vol. 46(C), pages 334-347.
- Awaworyi Churchill, Sefa & Inekwe, John & Ivanovski, Kris, 2021. "R&D expenditure and energy consumption in OECD nations," Energy Economics, Elsevier, vol. 100(C).
- Liddle, Brantley & Parker, Steven, 2022. "One more for the road: Reconsidering whether OECD gasoline income and price elasticities have changed over time," Energy Economics, Elsevier, vol. 114(C).
- Raul Jimenez & Ariel Yépez-García, 2016. "Composition and Sensitivity of Residential Energy Consumption," IDB Publications (Working Papers) 95257, Inter-American Development Bank.
- Fouquet, Roger, 2016. "Lessons from energy history for climate policy: technological change, demand and economic development," LSE Research Online Documents on Economics 67785, London School of Economics and Political Science, LSE Library.
- Burke, Paul J. & Csereklyei, Zsuzsanna, 2016.
"Understanding the energy-GDP elasticity: A sectoral approach,"
Energy Economics, Elsevier, vol. 58(C), pages 199-210.
- Paul J. Burke & Zsuzsanna Csereklyei, 2016. "Understanding the energy-GDP elasticity: A sectoral approach," CAMA Working Papers 2016-45, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Nicholas Marinucci & Kris Ivanovski, 2023. "Does Inequality Affect Climate Change? A Regional and Sectoral Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(3), pages 705-729, April.
More about this item
Keywords
Income elasticity; Price elasticity; Time-varying; Middle-income countries;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
- Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988320300207. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.