Inter-fuel substitution in the Chinese iron and steel sector

Smyth, Russell; Narayan, Paresh Kumar; Shi, Hongliang

doi:10.1016/j.ijpe.2012.05.021

Cited by 64 publications

(21 citation statements)

References 41 publications

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“…It is clear that CES cannot fully reflect the interaction and relationship between input factors. Therefore, earlier research studies on energy substitution were mostly carried out using the translog production function (TPF) method [19][20][21].…”

Section: Figure1 the Primary Energy Consumption Of China And Us And mentioning

confidence: 99%

Energy Substitution Effect on China’s Heavy Industry: Perspectives of a Translog Production Function and Ridge Regression

Lin

Kui

2017

Sustainability

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Abstract:A translog production function model with input factors including energy, capital, and labor is established for China's heavy industry. Using the ridge regression method, the output elasticity of each input factor and the substitution elasticity between input factors are analyzed. The empirical results show that the output elasticity of energy, capital and labor are all positive, while the output elasticities of energy and capital are relatively higher, indicating that China's heavy industry is energy-and capital-intensive. Simultaneously, all the input factors are substitutes, with the substitution between labor and energy having the highest degree of responsiveness. The substitution elasticity between labor and energy is decreasing, while the substitution elasticities of capital for energy and labor are increasing. More capital input can help to improve energy efficiency and thus accomplish the goal of energy conservation in China's heavy industry.

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Section: Figure1 the Primary Energy Consumption Of China And Us And mentioning

confidence: 99%

Energy Substitution Effect on China’s Heavy Industry: Perspectives of a Translog Production Function and Ridge Regression

Lin

Kui

2017

Sustainability

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“…Hoerl (1962) first proposed the method, and Hoerl andKennard (1970, 1976) later provided more in-depth research and discussion. More details about this method are provided in Smyth et al (2011) and Smyth and Narayan, 2012. According to the Ridge plot in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…In this paper, we follow Smyth et al (2011) and Smyth and Narayan (2012) and employ the trans-log production function to conduct the analysis. The translog production function model is a variable elasticity production model which is easy to estimate and highly inclusive.…”

Section: Methodsmentioning

confidence: 99%

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Analyzing inter-factor substitution and technical progress in the Chinese agricultural sector

Lin

Fei

2015

European Journal of Agronomy

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“…(2) 1 For more details and full derivation of the substitution elasticity formula, interested readers are referred to [30]. the design matrix X have an approximate linear dependence, the matrix ðX T XÞ À1 becomes close to singular.…”

Section: Ridge Regressionmentioning

confidence: 99%

Estimation of inter-fuel substitution possibilities in China's transport industry using ridge regression

Xie

Giarola

2015

Energy

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Inter-fuel substitution in the Chinese iron and steel sector

Cited by 64 publications

References 41 publications

Energy Substitution Effect on China’s Heavy Industry: Perspectives of a Translog Production Function and Ridge Regression

Energy Substitution Effect on China’s Heavy Industry: Perspectives of a Translog Production Function and Ridge Regression

Analyzing inter-factor substitution and technical progress in the Chinese agricultural sector

Estimation of inter-fuel substitution possibilities in China's transport industry using ridge regression

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