A meta-analysis on the price elasticity and income elasticity of residential electricity demand
By Xing Zhu, Lanlan Li, Kaile Zhou, Xiaoling Zhang, Shanlin Yang. Journal of Cleaner Production, 2018
131 citations recorded by the source corpus.
Abstract Price elasticity and income elasticity can quantitatively measure the impact of price volatility and income diversity on household electricity demand. To analyze household electricity demand and better identify the main factors affecting residential electricity demand elasticity in previous literature, a meta-analysis based on a comprehensive and systematic summary of 103 articles is presented in this study. The influencing factors are identified, with a weighed least squares (WLS) linear regression model to evaluate their strength. The price elasticities and income elasticities are discussed from three dimensions, namely short-term, long-term and unmarked. The results show that residential electricity demand is almost price-inelastic and income-inelastic in the short-term. But in the long-term, some residential electricity demand is price-elastic and income-elastic. The results also reveal that residential electricity demand elasticity is affected by many factors, such as time interval and sample period. These conclusions can support the formulation of more effective electricity price and energy policy.
Subfields: Pollution, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/8c33eab4a1d928b4fe3294bedd1efb4d1336850a
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In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Carbon Pricing: Effectiveness and Equity (2018, background): “A meta-analysis of empirical estimates of the price elasticity of energy demand, based a review of hundreds of studies published between 1990 and 2016, found an average short-run elasticity of −0.21 and an average long-run elasticity of −0.61 (Labandeira et al., 2017).”