2018
DOI: 10.1108/ijesm-05-2017-0008
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Inter-state analysis of energy efficiency- a stochastic frontier approach to the Indian paper industry

Abstract: Purpose This paper aims to measure the state-level energy efficiency in Indian paper industry and simultaneously explain inter-state variation in efficiency by inefficiency effect model. Three variables, labor productivity, capital intensity and structure of paper industry, are included in inefficiency effect model to assess the likely impact on energy efficiency. Design/methodology/approach Sub-vector input distance function is derived through neo-classical production function which provides measures to est… Show more

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Cited by 22 publications
(14 citation statements)
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“…However, a study by Menegaki (2011) in EU countries using panel regression analysis found that renewable energy does not significantly affect economic growth in the study period. Lean and Smyth (2013) The researchers also investigate the role of energy efficiency for mitigating environmental quality in firm-level and country-level data case and suggest that with improved technologies and cross-border spending in performance improvement programs, materials, and energy efficiency should be enhanced (Haider and Ganaie, 2017;Haider and Bhat, 2018;Haider and Bhat, 2019;Haider and Mishra, 2019). The renewable energy sector transition is increasing nowadays to protect the environment.…”
Section: Renewable Energy Economic Growth and Environmental Qualitymentioning
confidence: 99%
“…However, a study by Menegaki (2011) in EU countries using panel regression analysis found that renewable energy does not significantly affect economic growth in the study period. Lean and Smyth (2013) The researchers also investigate the role of energy efficiency for mitigating environmental quality in firm-level and country-level data case and suggest that with improved technologies and cross-border spending in performance improvement programs, materials, and energy efficiency should be enhanced (Haider and Ganaie, 2017;Haider and Bhat, 2018;Haider and Bhat, 2019;Haider and Mishra, 2019). The renewable energy sector transition is increasing nowadays to protect the environment.…”
Section: Renewable Energy Economic Growth and Environmental Qualitymentioning
confidence: 99%
“…In this section, we provide an introduction to SFA based on the distance function with Tobit quantile regression. The Shephard energy distance function presents the distance of the actual production from the optimum energy input [35]. Tobit quantile regression provides an efficient way to deal with left-censored data and can be viewed as a linear quantile regression model, where the data on the dependent variable are incompletely observed [36].…”
Section: Methodsmentioning
confidence: 99%
“…We have conceived four inputs and a single output (desirable output) in the absence of data of undesirable output (carbon emission from energy consumption) . Since data of carbon emission (undesirable output) is derived from energy input and hence minimization of energy consumption leads to a reduction in carbon emission (Haider & Bhat, ). Therefore, we can get a reflation on environmental policy implication through energy efficiency evaluation though it is better to characterised production function with the undesirable output.…”
Section: Methodsmentioning
confidence: 99%