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Household Energy Demand in Urban China: Accounting for Regional Prices and Rapid Income Change

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  • Jing Cao
  • Mun S. Ho
  • Huifang Liang

Abstract

Understanding the rapidly rising demand for energy in China is essential to efforts to reduce the country’s energy use and environmental damage. In response to rising incomes and changing prices and demographics, household use of various fuels, electricity and gasoline has changed dramatically in China. In this paper, we estimate both income and price elasticities for various energy types using Chinese urban household micro-data collected by National bureau of Statistics, by applying a two-stage budgeting AIDS model. We find that total energy is price and income inelastic for all income groups after accounting for demographic and regional effects. Our estimated electricity price elasticity ranges from -0.49 to -0.57, gas price elasticity ranges from -0.46 to -0.94, and gasoline price elasticity ranges from -0.85 to -0.94. Income elasticity for various energy types range from 0.57 to 0.94. Demand for coal is most price and income elastic among the poor, whereas gasoline demand is elastic for the rich.

Suggested Citation

  • Jing Cao & Mun S. Ho & Huifang Liang, 2016. "Household Energy Demand in Urban China: Accounting for Regional Prices and Rapid Income Change," The Energy Journal, , vol. 37(1_suppl), pages 87-110, January.
  • Handle: RePEc:sae:enejou:v:37:y:2016:i:1_suppl:p:87-110
    DOI: 10.5547/01956574.37.SI1.jcao
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    References listed on IDEAS

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    1. James S. Eales & Laurian J. Unnevehr, 1988. "Demand for Beef and Chicken Products: Separability and Structural Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 521-532.
    2. W. Alexander & Alfred Haug & Mohammad Jaforullah, 2010. "A two-stage double-bootstrap data envelopment analysis of efficiency differences of New Zealand secondary schools," Journal of Productivity Analysis, Springer, vol. 34(2), pages 99-110, October.
    3. Steven Yen & Kamhon Kan & Shew-Jiuan Su, 2002. "Household demand for fats and oils: two-step estimation of a censored demand system," Applied Economics, Taylor & Francis Journals, vol. 34(14), pages 1799-1806.
    4. Shenggen Fan & Eric J. Wailes & Gail L. Cramer, 1995. "Household Demand in Rural China: A Two-Stage LES-AIDS Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 54-62.
    5. Green, Richard & Hahn, William & Rocke, David, 1987. "Standard Errors for Elasticities: A Comparison of Bootstrap and Asymptotic Standard Errors," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(1), pages 145-149, January.
    6. David L. Edgerton, 1997. "Weak Separability and the Estimation of Elasticities in Multistage Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 62-79.
    7. X.M. Gao & Eric J. Wailes & Gail L. Cramer, 1996. "A Two-Stage Rural Household Demand Analysis: Microdata Evidence from Jiangsu Province, China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 604-613.
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    1. Gechert, Sebastian & Mey, Bianka & Prante, Franz & Schäfer, Teresa, 2025. "The Price Elasticity of Heating and Cooling Energy Demand," OSF Preprints 4sjy5_v2, Center for Open Science.

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