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Examining the Role of Population Age Structure upon Residential Electricity Demand: A Case from Korea

Author

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  • Jaehyeok Kim

    (Graduate School of Energy and Environment (KU-KIST Green School), Korea University, Innovation Building, 145 Anam-ro, Sungbuk-gu, Seoul 02841, Korea)

  • Minwoo Jang

    (Power Planning Department, Korea Power Exchange, 625 Bitgaram-ro, Naju City 58322, Jeollanam-do, Korea)

  • Donghyun Shin

    (Korea Energy Economics Institute, 405-11 Jongga-ro, Jung-gu, Ulsan 44543, Korea)

Abstract

In this article, we empirically investigate the impact of the population age structure on electricity demand. Our study is motivated by suggestions from existing literature that demographic factors can play an important role in energy demand. Using Korean regional level panel data for 2000 to 2016, we estimate the long-run elasticities through employing cointegration regression and the short-run marginal effects by developing a panel error correction model. It is worth investigating the Korean case, since Korea is aging faster than any other advanced economy, and at the same time is one of the heaviest energy users in the world. To our knowledge, this is the first study analyzing how the population age structure affects residential electricity demand, based on regional data in Korea. Our analysis presents the following results. First, an increase in the youth population raises the residential electricity demand in the short- and long-run. Second, an increase in the population of people aged 65 and over also increases this electricity demand in the short- and long-run. Third, among the group of people aged 65 and over, we further investigate the impact of an older population group, aged 80 and over, but separately, on their residential electricity demand. However, in general there is no strong relationship in the short- and long-run.

Suggested Citation

  • Jaehyeok Kim & Minwoo Jang & Donghyun Shin, 2019. "Examining the Role of Population Age Structure upon Residential Electricity Demand: A Case from Korea," Sustainability, MDPI, vol. 11(14), pages 1-19, July.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:14:p:3914-:d:249427
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    as
    1. Kronenberg, Tobias, 2009. "The impact of demographic change on energy use and greenhouse gas emissions in Germany," Ecological Economics, Elsevier, vol. 68(10), pages 2637-2645, August.
    2. Ota, Toru & Kakinaka, Makoto & Kotani, Koji, 2018. "Demographic effects on residential electricity and city gas consumption in the aging society of Japan," Energy Policy, Elsevier, vol. 115(C), pages 503-513.
    3. David E. Bloom & David Canning & Günther Fink, 2010. "Implications of population ageing for economic growth," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 26(4), pages 583-612, Winter.
    4. 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.
    5. Bardazzi, Rossella & Pazienza, Maria Grazia, 2017. "Switch off the light, please! Energy use, aging population and consumption habits," Energy Economics, Elsevier, vol. 65(C), pages 161-171.
    6. Ewing, Bradley T. & Payne, James E. & Caporin, Massimilano, 2022. "The Asymmetric Impact of Oil Prices and Production on Drilling Rig Trajectory: A correction," Resources Policy, Elsevier, vol. 79(C).
    7. Fair, Ray C & Dominguez, Kathryn M, 1991. "Effects of the Changing U.S. Age Distribution on Macroeconomic Equations," American Economic Review, American Economic Association, vol. 81(5), pages 1276-1294, December.
    8. Dalton, Michael & O'Neill, Brian & Prskawetz, Alexia & Jiang, Leiwen & Pitkin, John, 2008. "Population aging and future carbon emissions in the United States," Energy Economics, Elsevier, vol. 30(2), pages 642-675, March.
    9. Higgins, Matthew, 1998. "Demography, National Savings, and International Capital Flows," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(2), pages 343-369, May.
    10. Tonn, Bruce & Eisenberg, Joel, 2007. "The aging US population and residential energy demand," Energy Policy, Elsevier, vol. 35(1), pages 743-745, January.
    11. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    12. Anindya Banerjee, 1999. "Panel Data Unit Roots and Cointegration: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 607-629, November.
    13. Simon Pezzutto & Reza Fazeli & Matteo De Felice & Wolfram Sparber, 2016. "Future development of the air-conditioning market in Europe: an outlook until 2020," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(6), pages 649-669, November.
    14. Patrick A. Imam, 2015. "Shock from Graying: Is the Demographic Shift Weakening Monetary Policy Effectiveness," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 138-154, March.
    15. Brounen, Dirk & Kok, Nils & Quigley, John M., 2012. "Residential energy use and conservation: Economics and demographics," European Economic Review, Elsevier, vol. 56(5), pages 931-945.
    16. Apergis, Nicholas & Payne, James E., 2010. "Coal consumption and economic growth: Evidence from a panel of OECD countries," Energy Policy, Elsevier, vol. 38(3), pages 1353-1359, March.
    17. Brantley Liddle, 2011. "Consumption-Driven Environmental Impact and Age Structure Change in OECD Countries," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 24(30), pages 749-770.
    18. Apergis, Nicholas & Payne, James E., 2010. "Renewable energy consumption and economic growth: Evidence from a panel of OECD countries," Energy Policy, Elsevier, vol. 38(1), pages 656-660, January.
    19. Liddle, Brantley & Lung, Sidney, 2010. "Age-Structure, Urbanization, and Climate Change in Developed Countries: Revisiting STIRPAT for Disaggregated Population and Consumption-Related Environmental Impacts," MPRA Paper 59579, University Library of Munich, Germany.
    20. Menz, Tobias & Welsch, Heinz, 2012. "Population aging and carbon emissions in OECD countries: Accounting for life-cycle and cohort effects," Energy Economics, Elsevier, vol. 34(3), pages 842-849.
    21. Matthew A. Cole & Eric Neumayer, 2003. "Examining the Impact of Demographic Factors On Air Pollution," Labor and Demography 0312005, University Library of Munich, Germany, revised 13 May 2004.
    22. Garau, Giorgio & Lecca, Patrizio & Mandras, Giovanni, 2013. "The impact of population ageing on energy use: Evidence from Italy," Economic Modelling, Elsevier, vol. 35(C), pages 970-980.
    23. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    24. Hamza, Neveen & Gilroy, Rose, 2011. "The challenge to UK energy policy: An ageing population perspective on energy saving measures and consumption," Energy Policy, Elsevier, vol. 39(2), pages 782-789, February.
    25. Roberts, Simon, 2008. "Demographics, energy and our homes," Energy Policy, Elsevier, vol. 36(12), pages 4630-4632, December.
    26. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    27. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    28. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    29. repec:bla:obuest:v:61:y:1999:i:0:p:607-29 is not listed on IDEAS
    30. Yamasaki, Eiji & Tominaga, Norio, 1997. "Evolution of an aging society and effect on residential energy demand," Energy Policy, Elsevier, vol. 25(11), pages 903-912, September.
    31. P. Gajewski, 2015. "Is ageing deflationary? Some evidence from OECD countries," Applied Economics Letters, Taylor & Francis Journals, vol. 22(11), pages 916-919, July.
    32. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    33. Mikael Juselius & Elod Takats, 2015. "Can demography affect inflation and monetary policy?," BIS Working Papers 485, Bank for International Settlements.
    34. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    35. Zhou, Shaojie & Teng, Fei, 2013. "Estimation of urban residential electricity demand in China using household survey data," Energy Policy, Elsevier, vol. 61(C), pages 394-402.
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