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JIA, JUN-JUN (2) answer(s).
 
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ID:   179683


Elasticities of residential electricity demand in China under increasing-block pricing constraint: New estimation using household survey data / Jia, Jun-Jun; Guo, Jin; Wei, Chu   Journal Article
Wei, Chu Journal Article
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Summary/Abstract China has implemented the residential increasing-block electricity pricing (IBEP) policy since the second half of 2012, which is considered the most effective economic instrument in improving residential energy efficiency. Price and income elasticity are two fundamental parameters to guide both scholars and policy-makers in assessing whether and to what extend Chinese households respond to the policy. However, it presents the challenge of simultaneous determination of marginal price and electricity consumption; further, it is less examined from an empirical perspective due to the absence of micro-level data. To fill this gap, this study estimates price and income elasticity by establishing two instrumental variables, based on a unique dataset from the Chinese Residential Energy Consumption Survey 2014. Results show that the residential demand for electricity is price inelastic and that electricity is an essential commodity for households in the short run. It also shows great urban-rural disparity and regional heterogeneity of household electricity consumption behavior regarding short-run income elasticity. The estimated parameters of short-run price and income elasticities provide a valuable reference for policy-making regarding both a nationwide uniform and a differential regional perspective.
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2
ID:   192382


Residential responses to service-specific electricity demand: Case of China / Jia, Jun-Jun   Journal Article
Jia, Jun-Jun Journal Article
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Summary/Abstract Understanding the diversity of the residential demand for various electrical services is critical for utilities and policymakers in conducting effective demand side management and narrowing urban-rural inequality. Previous research has usually treated the household as a unit of analysis, and thus may have ignored the fact that household electricity consumption is derived demand driven by specific services, which fails to examine the heterogeneous behavioral responses. Therefore, this paper presents a new pattern of residential demand for various electrical services and quantifies the impacts of socioeconomic determinants in China. The conditional demand analysis is performed on the unique dataset of the Chinese Residential Energy Consumption Survey of 2014 to estimate the electricity demand distribution in eight types of services and to investigate the effect of socioeconomic variables on service-specific electricity consumption. The results show that, together, entertainment and food refrigeration account for about half of the total annual electricity consumption, followed by laundry, lighting, space cooling, and hot water. Rural households use about 7.2% of total electricity for cooking purposes, while urban counterparts hardly use electricity to cook at all. Electricity consumption for space heating is negligible for both urban and rural households. Heterogeneity in socioeconomic determinants is found not only among different electrical services but also between urban and rural households.
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