Determinants of Energy Intensity Trends in Indian Metallic Industry: A Firm-level Analysis

Megha Jain, Simrit Kaur
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引用次数: 1

Abstract

Though the demand for industrial energy by manufacturing firms has witnessed substantial growth, not enough evidence exists regarding the energy intensity trends of such firms. Furthermore, empirical evidence on the determinants of energy intensity trends or even the energy intensity levels per se remains limited. Given this gap, the present article analyses the determinants of energy intensity trends (and also the energy intensity levels) of Indian manufacturing firms over the period 2007–2017. This study has been undertaken with special reference to the metallic industry. A sample of 41 firms is analysed by grouping them into 3 categories, namely firms with increasing energy intensity trends (IEITs), decreasing energy intensity trends (DEITs) and relatively constant energy intensity trends (CEITs) over the stated period. Multinomial logistic model (MLM) is employed to examine the determinants of energy intensity trends for the three categories. Our pertinent findings are as follows: firms with higher labour intensity and also older firms have a greater probability of belonging to the category of DEIT firms vis-à-vis the reference category of IEIT firms. Furthermore, size per se does not significantly impact the probability of a firm belonging to any specific category of energy intensity trend; nevertheless, evidence shows that large-sized firms, though old, have a greater probability of belonging to the DEIT category. Rather surprisingly, R&D intensity has been estimated to have a non-significant impact on the probability of belonging to the DEIT group of firms. However, although R&D-intensive firms have a higher profitability, their impacts remain both favourable and significant. Evidence also suggests that an increase in capital intensity and profitability lowers the probability of a firm to belong to the DEIT category. Additionally, a pooled (panel) econometric analysis has also been undertaken wherein the ‘level’ of energy intensity is considered as the dependent variable and not the ‘trend’ in energy intensity. Important findings also emerge from this analysis. Finally, we conclude from a broad policy perspective.
印度金属工业能源强度趋势的决定因素:一个企业层面的分析
尽管制造业企业对工业能源的需求出现了大幅增长,但关于这些企业的能源强度趋势的证据还不够。此外,关于能源强度趋势甚至能源强度水平本身的决定因素的经验证据仍然有限。鉴于这一差距,本文分析了2007-2017年期间印度制造业企业能源强度趋势(以及能源强度水平)的决定因素。这项研究是专门针对金属工业进行的。对41家公司的样本进行了分析,将它们分为3类,即在规定的时期内能源强度趋势增加(IEITs),能源强度趋势减少(DEITs)和能源强度趋势相对恒定(CEITs)的公司。采用多项逻辑模型(MLM)来检查三类能源强度趋势的决定因素。我们的相关发现如下:劳动强度较高的企业和年龄较大的企业更有可能属于DEIT企业的类别,而-à-vis是IEIT企业的参考类别。此外,规模本身并不显著影响企业属于任何特定能源强度趋势类别的可能性;尽管如此,有证据表明,大型公司虽然历史悠久,但更有可能属于DEIT类别。令人惊讶的是,据估计,研发强度对企业属于DEIT集团的概率没有显著影响。然而,尽管研发密集型企业具有较高的盈利能力,但它们的影响仍然是有利的和显著的。证据还表明,资本密集度和盈利能力的提高降低了企业属于DEIT类别的可能性。此外,还进行了汇总(面板)计量经济学分析,其中将能源强度的“水平”视为因变量,而不是能源强度的“趋势”。这一分析也得出了重要的发现。最后,我们从宏观的政策角度得出结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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