Study of efficiency and productivity growth in opencast and underground coal mining in India: a DEA analysis

Kulshreshtha, Mudit; Parikh, Jyoti

doi:10.1016/s0140-9883(02)00025-7

Cited by 75 publications

(33 citation statements)

References 7 publications

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“…θ is a value between zero and one. It determines how much the input x io should be reduced to θxo radially to get DMU o to the efficient frontier (Kulshreshtha and Parikh, 2002;Cooper et al, 2006). The purpose of Stage II is to find a solution which makes the sum of the input excesses and output shortfalls maximum maintaining θ = θ*.…”

Section: The Ccr Modelmentioning

confidence: 99%

Evaluation of Old Oyo National Park efficiency using DEA Approach

Jacob

Onadeko

Nelson

et al. 2018

EES

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Abstract:Measuring the efficiency of a national park is difficult due to, among other factors, the heterogeneity of resources supplied (e.g., budget, staffs) and outcomes expected (e.g., income, visitors' flow). While this is an issue in protected area management, it has been approached successfully in other fields by using data envelopment analysis (DEA). DEA has a number of advantages over other techniques as it simultaneously uses multiple heterogeneous inputs and outputs to determine which projects are performing most efficiently, referred to as being at the efficiency frontier, when compared to others in the data set. This study therefore uses DEA for the evaluation of management efficiency in Old Oyo National Park for the period of 2001-2015. The results showed that the park was efficient for 11 and 13 years, respectively, in terms of its overall technical and pure technical efficiency with a mean scale efficiency of 97%. Also, the park operated at 80% of its productive scale size. These results, and the use of DEA, highlight both the success of using this technique in helping determine protected area efficiency and those factors to consider while allocating resources for new projects at the park.

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Section: The Ccr Modelmentioning

confidence: 99%

Evaluation of Old Oyo National Park efficiency using DEA Approach

Jacob

Onadeko

Nelson

et al. 2018

EES

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“…Kulshreshtha and Parikh [10] and Deshpande and Weisskopf [11] used DEA and Kathuria et al [1] used SFA. Using firm level data, LP [4] was used widely by Mitra et al [12], Sharma and Mishra [13], Singh [2].…”

Section: Productivity: Research In Indiamentioning

confidence: 99%

Keeping It Simple: Comparative Analysis of TFP across Manufacturing Industries and Major States of India

Singh¹

2017

TEL

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The measurement of total factor productivity in Indian economic development has been greatly debated especially after economic reforms set in. While a fair amount of research is done on this subject, however the findings were lost in the shadow of complex econometric techniques. This paper is an honest attempt to simplify the complex area of productivity for a geographically multifaceted country-India. The paper carries out a comprehensive and comparative TFP (total factor productivity) analysis across 19 major India states and their 15 Indian manufacturing industries. The intent of this paper is fourfold. First, it estimates TFP using a simple technique (growth accounting). Second, it performs the state and the industry level comparative TFP analysis. Third, it discusses the outliers and justifies their outcomes and fourth provides recommendations for policy making and states the implications.

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“…Note that DEA applications in this area include Budeba et al (2015), Byrnes et al (1988), Fang et al (2009) and Kulshreshtha and Parikh (2002).…”

Section: Coalmentioning

confidence: 99%

World trend in energy: an extension to DEA applied to energy and environment

Sueyoshi

Goto

2017

Economic Structures

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This study describes how to use Data Envelopment Analysis (DEA) for assessing the performance of energy firms. The methodology has been widely used for performance assessment on various organizations in public and private sectors because of its computational practicality (i.e., solving by linear programming) and less assumption (e.g., nonparametric) on production relationship between inputs and outputs. It is indeed true that it has a high level of practicality. However, the conventional uses of DEA were often misguiding many applications, in particular, in guiding energy industries. See the recent book and article prepared by and , both AbstractThis study proposes a use of data envelopment analysis (DEA) to assess the performance of energy industries. The DEA is a nonparametric approach that does not assume any functional form for performance assessment. The purpose of this study is to discuss how DEA can examine the current energy industries and their trends in the world. The energy is separated into primary and secondary categories. The primary energy is classified into fossil and non-fossil fuels. The fossil fuels include oil, natural gas and coal, while the non-fossil ones include nuclear and renewable energies (e.g., solar, wind, biomass, water and others). Energy consumption is essential for developing economic prosperity in all nations. However, a use of various energy resources usually produces many different types of pollutions (e.g., air, soil and water pollutions), leading to a huge damage on our society and human health. Thus, it is important for us to understand a general trend of world energy when we consider various environmental issues. This study discusses electricity as a representative of secondary energy. It is not easy to maintain a high level of social balance, so-called sustainability between economic development and environmental protection. As the initial step for sustainability development, this study summarizes a general trend of energy whose consumption has been increasing along with an economic development and a population increase in the world. Along with discussing the trend of world energy, this study describes why DEA is useful as one of the methodologies to assess a social balance between economic success and environmental protection by identifying a level of efficiency, later referred to as "unified (operational and environmental) efficiency. " Thus, this study conveys the research necessity of DEA environmental assessment on energy and sustainability from a perspective of supply and demand on energy resources in the world.

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Study of efficiency and productivity growth in opencast and underground coal mining in India: a DEA analysis

Cited by 75 publications

References 7 publications

Evaluation of Old Oyo National Park efficiency using DEA Approach

Evaluation of Old Oyo National Park efficiency using DEA Approach

Keeping It Simple: Comparative Analysis of TFP across Manufacturing Industries and Major States of India

World trend in energy: an extension to DEA applied to energy and environment

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