Journal
ENERGY AND BUILDINGS
Volume 166, Issue -, Pages 319-329Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2018.02.012
Keywords
Cooking fuel choice; Multinomial logit regression; Rural China; Income; Assets
Funding
- National Natural Science Foundation of China [71673026, 71642004, 71521002, 71322306]
- China's National Key RD Program [2016YFA0602801, 2016YFA0602603]
- Fok Ying Tung Education Foundation
- Joint Development Program of Beijing Municipal Commission of Education
- Fundamental Research Funds for the Central Universities of China
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Residential energy consumption level, structure, and potentiality are crucial indices reflecting economic and social development. In rural China, energy poverty is still prevalent, and economic poverty is a critical factor that deteriorates energy poverty. This paper combines income- and asset-based measures of wealth to provide a more dynamic perspective on the effects of economic poverty on energy poverty. Results show that for the household which in an average asset or income level, when its assets and income increase by 10%, the probability of a household choosing clean fuels increases by 0.007 and 0.002, respectively. Rural household prefers gas than electricity when household income and assets increase. To solve the energy poverty problem in rural areas, governments need to take measures to improve the accumulation of wealth, raise the infrastructure level and increase the employment rate. (C) 2018 Elsevier B.V. All rights reserved.
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