Comparative study on efficiency performance of listed coal mining companies in China and the US

Fang, Hongyuan; Wu, Junjie; Zeng, Catherine

doi:10.1016/j.enpol.2009.07.027

Cited by 72 publications

(32 citation statements)

References 44 publications

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“…For example, it has been used in evaluating the performance of various operations, including production planning, airport performance, agricultural economics, bank performance, research and development performance, and other applications (Li et al, 2012). Selective examples on the application of DEA in coal mine investment efficiency evaluation have been identified by Fang et al (2009) and Reddy et al (2013), and these are presented in Table II.…”

Section: This Approach Includes the Mine And Mill Cost Calculator Andmentioning

confidence: 99%

A proposed approach for modelling competitiveness of new surface coal mines

Budeba¹,

Joubert²,

Webber-Youngman³

2015

J. South. Afr. Inst. Min. Metall.

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Section: This Approach Includes the Mine And Mill Cost Calculator Andmentioning

confidence: 99%

A proposed approach for modelling competitiveness of new surface coal mines

Budeba¹,

Joubert²,

Webber-Youngman³

2015

J. South. Afr. Inst. Min. Metall.

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“…The DEA model has been widely used in energy efficiency measurements at the firm-level [12], regional level [13] and country level [14]. However, neglecting to address undesirable outputs in the fuel combustion process, the results may not prove effective in assessing environmental-friendly energy efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring sustainability by Energy Efficiency Analysis for Korean Power Companies: A Sequential Slacks-Based Efficiency Measure

Zhang

Kim

2014

Sustainability

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Improving energy efficiency has been widely regarded as one of the most cost-effective ways to improve sustainability and mitigate climate change. This paper presents a sequential slack-based efficiency measure (SSBM) application to model total-factor energy efficiency with undesirable outputs. This approach simultaneously takes into account the sequential environmental technology, total input slacks, and undesirable outputs for energy efficiency analysis. We conduct an empirical analysis of energy efficiency incorporating greenhouse gas emissions of Korean power companies during 2007-2011. The results indicate that most of the power companies are not performing at high energy efficiency. Sequential technology has a significant effect on the energy efficiency measurements. Some policy suggestions based on the empirical results are also presented.

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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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Comparative study on efficiency performance of listed coal mining companies in China and the US

Cited by 72 publications

References 44 publications

A proposed approach for modelling competitiveness of new surface coal mines

A proposed approach for modelling competitiveness of new surface coal mines

Measuring sustainability by Energy Efficiency Analysis for Korean Power Companies: A Sequential Slacks-Based Efficiency Measure

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

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