Magnitude and determinants of energy intensity: evidence from Indian firms
Authors:
- 9 August 2022
- journal article
- research article
- Published by Springer Nature in Environmental Science and Pollution Research
- Vol. 30 (2) , 3270-3281
Abstract
The topmost challenge for Indian manufacturing industries is to reduce the pace of energy intensity to deal with environmental degradation and climate change problems. In this light, we examine the firm-specific determinants influencing energy intensity of Indian manufacturing firms and suggest measures to minimize the energy intensity. To do so, we use aggregate firm-level data ranging between 2010 and 2021 and employ panel quantile regression. We found that the determinants, namely LI, RMPMI, PMI, and OI, have a statistically positive and significant impact on energy intensity. Other factors such as RMSSI, PATI, TDI, SI, and LNTA were found to show mixed results. Besides, we observed RMPMI as the most dominant factor driving energy intensity among Indian manufacturing firms. The findings of this paper endorse effective policymaking pertaining to energy intensity for Indian manufacturing firms and necessitates the modifications in energy conservation regulations.Keywords
This publication has 35 references indexed in Scilit:
- The impact of economic growth, industrial structure and urbanization on carbon emission intensity in ChinaNatural Hazards, 2014
- Labour and Energy Intensity: A Study of the Pulp and Paper Industries in India2012
- A simple approach to quantile regression for panel dataThe Econometrics Journal, 2011
- Quantile regression for dynamic panel data with fixed effectsJournal of Econometrics, 2011
- Robust penalized quantile regression estimation for panel dataJournal of Econometrics, 2010
- Decomposition of energy consumption and energy intensity in Indian manufacturing industriesEnergy for Sustainable Development, 2010
- Electricity generation development of Eastern Europe: A carbon technology management case study for PolandRenewable and Sustainable Energy Reviews, 2009
- Labour productivity, energy intensity and economic performance in small enterprises: A study of brick enterprises cluster in IndiaEnergy Conversion and Management, 2006
- Quantile regression for longitudinal dataJournal of Multivariate Analysis, 2004
- Energy Intensity: A Quantitative Exploration for Indian ManufacturingSSRN Electronic Journal, 2003