Long-run estimates of interfuel and interfactor elasticities

Chunbo Ma () and David Stern

Resource and Energy Economics, 2016, vol. 46, issue C, 114-130

Abstract: Meta-analyses of interfuel and capital-energy elasticities of substitution show that elasticity estimates are dependent on the type of data − time series, panel, or cross-section − and the estimators used. Econometric theory suggests that the between estimator might generate the best estimates of long-run elasticities but no existing estimates of elasticities of substitution have used it. Alternatively, Chirinko et al. argued in favor of estimating long-run elasticities of substitution using a long-run difference estimator. We provide estimates of China’s interfuel and interfactor elasticities of substitution using the between and long-run difference estimators. To address potential omitted variables bias, we add province level inefficiency and national technological change terms to our regression model. The results show that demand for coal and electricity in China is very inelastic, while demand for diesel and gasoline is elastic. With the exception of gasoline and diesel, there are limited substitution possibilities among the fuels. Substitution possibilities are greater between energy and labor than between energy and capital. The results are quite different to some previous studies for China but coincide well with the patterns found in meta-analyses for long-run estimates of elasticities of substitution.

Keywords: Energy; Substitution; Elasticity; Demand; China (search for similar items in EconPapers)
JEL-codes: D24 Q40 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)

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Working Paper: Long-run estimates of interfuel and interfactor elasticities (2016)
Working Paper: Long-run estimates of interfuel and interfactor elasticities (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:resene:v:46:y:2016:i:c:p:114-130

DOI: 10.1016/j.reseneeco.2016.09.003

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