Measuring output-based technical efficiency of Indian coal-based thermal power plants

IF 0.8 Q4 DEVELOPMENT STUDIES Indian Growth and Development Review Pub Date : 2019-06-22 DOI:10.1108/IGDR-05-2018-0058
Sushama Murty, R. Nagpal
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引用次数: 5

Abstract

Purpose The purpose of this paper is to measure technical efficiency of Indian thermal power sector employing the recent by-production approach. Design/methodology/approach The by-production approach is used in conjunction with data from the Central Electricity Authority (CEA) of India to compute the output-based Färe, Grosskopf, Lovell (FGL) efficiency index and its decomposition into productive and environmental efficiency indexes for the ITPPs Findings The authors show that given the aggregated nature of data on coal reported by CEA, CEA’s computation of CO2 emissions through a deterministic linear formula that does not distinguish between different coal types and the tiny share of oil in coal-based power plants, the computed output-based environmental efficiency indexes are no longer informative. Meaningful measurement of environmental efficiency using CEA data is possible only along the dimension of the coal input. Productive efficiency is positively associated with the engineering concept of thermodynamic/energy efficiency and is also high for power plants with high operating availabilities reflecting better management and O&M practices. Both these factors are high for private and centrally owned as opposed to state-owned power-generating companies. The example of Sipat demonstrates the importance of (ultra)supercritical technologies in increasing productive and thermodynamic efficiencies of the ITPPs, while also reducing CO2 emitted per unit of the net electricity generated. Originality/value This paper uses the by-production approach for the first time to measure technical efficiency of ITPPs and highlights how the nature of the Indian data impacts on efficiency measurement.
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印度煤基火力发电厂基于输出的技术效率测量
目的本文的目的是采用最近的副生产方法来衡量印度火电行业的技术效率。设计/方法/方法副生产方法与印度中央电力局(CEA)的数据结合使用,计算基于产量的Färe、Grosskopf、Lovell(FGL)效率指数及其分解为ITPPSFindings的生产和环境效率指数。作者表明,考虑到CEA报告的煤炭数据的汇总性质,CEA通过一个确定性线性公式计算二氧化碳排放量,该公式不区分不同的煤炭类型和煤炭发电厂中石油的微小份额,计算出的基于产出的环境效率指数不再具有信息性。使用CEA数据对环境效率进行有意义的测量只能沿着煤炭输入的维度进行。生产效率与热力学/能源效率的工程概念呈正相关,对于具有高运行可用性的发电厂来说,生产效率也很高,这反映了更好的管理和运维实践。与国有发电公司相比,这两个因素对私营和中央所有的发电公司来说都很高。Sipat的例子表明了(超)超临界技术在提高ITPP的生产效率和热力学效率方面的重要性,同时也减少了单位净发电量排放的二氧化碳。原创性/价值本文首次使用副产品法来衡量ITPP的技术效率,并强调了印度数据的性质如何影响效率测量。
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
7
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