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

被引:5
|
作者
Jain, Megha [1 ,3 ]
Kaur, Simrit [2 ]
机构
[1] Univ Delhi, Daulat Ram Coll, Fac Management Studies, Delhi, India
[2] Univ Delhi, Shri Ram Coll Commerce, Delhi, India
[3] Univ Delhi, Daulat Ram Coll, Delhi 110021, India
关键词
Energy Intensity; Indian Manufacturing Industries; Metal and Metal-based Firms; Firm-level Multinomial Logistic Panel; Pooled Randomeffects Regression; DECOMPOSITION;
D O I
10.1177/09722629211004293
中图分类号
F [经济];
学科分类号
02 ;
摘要
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-a-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.
引用
收藏
页码:360 / 375
页数:16
相关论文
共 50 条
  • [1] Firm-level determinants of energy and carbon intensity in China
    Cao, Jing
    Karplus, Valerie J.
    [J]. ENERGY POLICY, 2014, 75 : 167 - 178
  • [2] Firm-level productivity and its determinants in the Indian pharmaceutical industry
    Subhrabaran Das
    Ariful Hoque
    [J]. DECISION, 2023, 50 : 439 - 459
  • [3] Firm-level productivity and its determinants in the Indian pharmaceutical industry
    Das, Subhrabaran
    Hoque, Ariful
    [J]. DECISION, 2023, 50 (04) : 439 - 459
  • [4] FIRM-LEVEL DETERMINANTS OF EXPORT INTENSITY
    SCHLEGELMILCH, BB
    CROOK, JN
    [J]. MANAGERIAL AND DECISION ECONOMICS, 1988, 9 (04) : 291 - 300
  • [5] FORECASTING GROWTH IN THE INDIAN COMPUTER INDUSTRY - A FIRM-LEVEL ANALYSIS
    SHARMA, L
    BASU, A
    [J]. JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, 1993, 52 (12): : 785 - 794
  • [6] Locational determinants of internationalization: A firm-level analysis of Chinese and Indian acquisitions
    De Beule, Filip
    Duanmu, Jing-Lin
    [J]. EUROPEAN MANAGEMENT JOURNAL, 2012, 30 (03) : 264 - 277
  • [7] Energy efficiency in Swedish industry A firm-level data envelopment analysis
    Zhang, Shanshan
    Lundgren, Tommy
    Zhou, Wenchao
    [J]. ENERGY ECONOMICS, 2016, 55 : 42 - 51
  • [8] Industry- and firm-level determinants of employment relations in China: a two-level analysis
    Huang, Xiaoyu
    Verma, Anil
    [J]. INTERNATIONAL JOURNAL OF HUMAN RESOURCE MANAGEMENT, 2018, 29 (02): : 399 - 419
  • [9] Assessing energy efficiency of Indian paper industry and influencing factors: A slack-based firm-level analysis
    Haider, Salman
    Danish, Mohd Shadab
    Sharma, Ruchi
    [J]. ENERGY ECONOMICS, 2019, 81 : 454 - 464
  • [10] The determinants of growth in the US information and communication technology (ICT) industry: A firm-level analysis
    Canarella, Giorgio
    Miller, Stephen M.
    [J]. ECONOMIC MODELLING, 2018, 70 : 259 - 271