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Benchmarking energy use of iron and steel industry: a data envelopment analysis

机译:钢铁行业能源使用基准:数据包络分析

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Purpose - The purpose of this paper is to benchmark the energy use of Indian iron and steel industry. For this purpose, the authors have estimated a production frontier to know the best performing states. Further, the energy-saving targets are estimated to lie below the benchmark level for those states. Panel data for this purpose are extracted from the Annual Survey of Industry (an official database from the government of India) for 19 major steel-producing states over the period from 2004-2005 to 2013-2014. Design/methodology/approach - The authors employed a radial and non-radial (slack-based measure) variant of the data envelopment analysis (DEA) to estimate the production frontier. Particularly, slack-based measures (SBMs) developed by Tone (2001) are used to get a more comprehensive measure of energy efficiency along with technical efficiency. Variable returns to scale technology is specified to accommodate market imperfection and heterogeneity across states. Four inputs (capital, labour, energy and material) and a single output are conceptualised for the production process to accommodate input substitution. The relative position of each state in terms of the level of energy efficiency is then identified. Findings - The authors started by examining energy-output ratio. The average level of energy intensity shows declining trends over the period of time. States like Bihar, Jharkhand, Gujarat and Uttarakhand remain stagnant in the energy intensity level. SBM of energy efficiency shows an overall average energy saving potential of 8 per cent without reducing average output level. Considerable heterogeneity exists among states in terms of the energy efficiency scores. Further, the authors calculated scale efficiency (SE) which shows the overall average level of SE is 0.91; hence, the scale of operation is not optimal and needs to adjusted to enhance energy efficiency. Originality/value - The authors demonstrate the empirical application of DEA with SBM to energy use performance. This is the first study that benchmarks Indian states in terms of the consumption of energy input to produce iron and steel by applying DEA
机译:目的-本文的目的是基准印度钢铁工业的能源使用。为此,作者估计了生产前沿以了解最佳性能状态。此外,估计节能目标低于这些州的基准水平。为此目的的面板数据摘自2004-2005年至2013-2014年期间19个主要钢铁生产州的年度工业调查(印度政府的官方数据库)。设计/方法/方法-作者采用数据包络分析(DEA)的径向和非径向(基于松弛的度量)变体来估计生产前沿。特别是,Tone(2001)开发的基于松弛的度量(SBM)用于获得对能源效率以及技术效率的更全面的度量。指定了可变规模收益技术,以适应各州之间的市场缺陷和异质性。在生产过程中,将四个输入(资本,劳动力,能源和材料)和单个输出概念化,以适应输入替代。然后根据能量效率水平确定每个状态的相对位置。调查结果-作者首先研究了能量输出比。能源强度的平均水平在一段时间内呈下降趋势。比哈尔邦,贾坎德邦,古吉拉特邦和北阿坎德邦等国家的能源强度水平仍然停滞不前。 SBM的能源效率显示整体平均节能潜力为8%,而不会降低平均产出水平。就能源效率得分而言,各州之间存在相当大的异质性。此外,作者计算出的规模效率(SE)显示SE的整体平均水平为0.91;因此,操作规模不是最佳的,需要进行调整以提高能源效率。原创性/价值-作者展示了DEA和SBM在能源利用绩效中的经验应用。这是第一项通过应用DEA对印度各州进行钢铁生产的能源消耗量进行基准测试的研究

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