Sustainability · 2019 · 21 citations · 38 references
Social SciencesDemographyEconomicsDemographic MethodsEconometricsEnergy EconomicsCointegration AnalysisDemographic AnalysisEstimation TheoryPanel Data AnalysisPanel Data MethodsPopulation AgingElectricity Demand ProfilesHousehold Electricity UseLong-run ElasticityPanel Data Demand ModelsPanel Data EstimationPanel Regression ModelsPopulation Age StructureResidential Load Modeling
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.
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Testing for unit roots in heterogeneous panels
Kyung So Im, M. Hashem Pesaran, Yongcheol Shin · Journal of Econometrics · 2003 · 15K citations · Full text