Cost Benchmarking of Generation Utilities Using DEA:   A Case Study of India

Jain, Shafali; Thakur, Tripta; Shandilya, Arun

doi:10.4236/ti.2010.14028

Cited by 6 publications

(3 citation statements)

References 15 publications

(19 reference statements)

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“…Model 4 is formulated to measure the financial efficiency of the power sector in Haryana. Following Jain et al (2010), total cost is taken as input, whereas outputs included are revenue from sale of power and revenue from other sources. Model 4 covers the time period from 1970-1971 to 2014-2015.…”

Section: Specification Of Inputs and Outputsmentioning

confidence: 99%

Economic Efficiency Measurement of Power Sector Reforms in Haryana Using DEA

Chauhan

Singh

2020

The Indian Economic Journal

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Haryana power sector reforms were initiated as a part of the overall power sector reform process initiated in the country under the supervision of the World Bank. Haryana became the second state in the country that implemented the restructuring process at the state level after Orissa. Enhancing efficiency, productivity and quality are the goals behind these reforms. This article attempts to measure the economic efficiency of the power sector reforms in Haryana. A non-parametric technique—data envelopment analysis (DEA)—is used to measure the economic efficiency in the pre- and post-reform period of power sector reforms. Also, the specification of input and output has been carried out and an input-oriented approach has been selected. the result reveals that the power sector reforms have significantly improved efficiency in input utilisation, but as far as scale efficiency is concerned, the power sector has measurable failures on this front. The power sector in Haryana still operates with inappropriate size of scale. Therefore, a well-calibrated and robust permanent policy needs to be formulated to achieve the objectives of the power sector reforms.

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Section: Specification Of Inputs and Outputsmentioning

confidence: 99%

Economic Efficiency Measurement of Power Sector Reforms in Haryana Using DEA

Chauhan

Singh

2020

The Indian Economic Journal

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“…The efficiency score for the ith firm will be the value of θ. According to the definition, it will satisfy: θ ≤ 1, with a value of 1 indicating a point on the frontier; hence, the firm is a technically efficient firm (Jain, Thakur, & Shandilya, 2010). Further, Banker, Charnes, and Cooper in 1984 made changes in the CCR model, which assumes a constant return to scale to changeable return to scale (Banker, Charnes, & Cooper, 1984).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…where N1 is an N × 1 vector of ones. This approach forms a convex hull of interesting planes which envelope the data points more tightly than the CRS (Constant Return to Scale) conical hull, thus providing TE scores that are greater than or equal to those obtained using the CRS model (Jain et al, 2010). The DEA-MPI deals with panel data.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Productivity Analysis of Coal-fired Thermal Power Plants in India Using Malmquist Index Approach

Dhillon

Vachharajani

2019

Global Business Review

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The sustainable socio-economic growth of any country depends on the availability of adequate and reliable power at reasonable rates. This is even true in case of a rapidly developing country like India where coal-based power plants account for the majority of electricity generation. Making use of data envelopment analysis (DEA) and Malmquist productivity index (MPI), this study analyses the productivity change of coal-fired power plants during 2002–2012. Productivity change is further decomposed into technical efficiency change (EFFCH), technological change (TECHCH), scale efficiency change (SECH), pure technical change (PECH) and total factor productivity change (TFPCH). The study revealed that 0.70 per cent of average annual total factor productivity (TFP) growth was witnessed from 2002–2003 to 2011–2012 indicating overall progress. The contribution of TECHCH in TFP growth is positive, that is, 1.3 per cent per annum. It demonstrates that expansion of the efficient frontier. However, there was a decrease in technical EFFCH of −0.6 per cent per year, indicating the adverse sign of progress. Plants in the central sector achieved maximum growth of 4.6 per cent annually. A total of 54.05 per cent of plants have recorded negative TFP growth. Power plants between 500 and 999 MW achieved the highest operational performances in all indices except SECH.

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