Assessing energy efficiency and the related policy implications for energy-intensive firms in Korea: DEA approach

Moon, Hana; Min, Daiki

doi:10.1016/j.energy.2017.05.122

Cited by 75 publications

(25 citation statements)

References 37 publications

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“…The low energy efficiency not only wastes limited energy, but also causes serious environmental pollution. Therefore, the issue of energy efficiency has attracted more and more attention from academia that can put forward modern, reliable and environment-friendly energy policy suggestions for different Economies and countries [ [1] , [2] , [3] , [4] , [5] , [6] , [7] , [8] , [9] , [10] , [11] ].…”

Section: Introductionmentioning

confidence: 99%

Revisiting China’s provincial energy efficiency and its influencing factors

Liu

Zhang

Tao

et al. 2020

Energy

113

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Improving the energy efficiency is a fundamental way to ensure energy security and sustainable development, and is also the requirement of supply-side structural reform of China’s energy. This paper uses the DEA-BCC model to estimate China’s energy efficiency at the provincial level, analyzes its regional differences from 2006 to 2016, and applies a panel data model to analyze the influencing factors of energy efficiency. It selects labor, capital stock and total energy consumption as inputs and takes real GDP and comprehensive index of environmental pollution as desirable and undesirable outputs, respectively. The results show that (1) energy efficiency when undesirable output is included is generally lower than when undesirable output is excluded; (2) There is a considerable difference in energy efficiency among provinces, and China’s energy efficiency, by and large, shows a trend of declining. The energy efficiency of four major regions demonstrates obvious regional differences: coastal region>northeastern region> middle region >western region; (3) The economic development level, technological progress, energy price and urbanization level are positively associated with energy efficiency, while the proportion of secondary industry and the energy consumption structure dominated by coal and oil are negatively correlated with energy efficiency.

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Section: Introductionmentioning

confidence: 99%

Revisiting China’s provincial energy efficiency and its influencing factors

Liu

Zhang

Tao

et al. 2020

Energy

113

View full text Add to dashboard Cite

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“…Li and Tao () describe the use of various DEA model to provide better policies implication for highly energy‐intensive industries. Moon and Min () find out the larger contribution of pure energy efficiency in increasing the overall energy efficiency in the energy‐consuming manufacturing companies in South Korea. Zhu, Wu, Li, and Xiong () emphasised the role of efficient utilisation of natural resource in mainland China.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Industrialised countries are leading in energy efficiency programme to enhance the energy efficiency, like the Energy Star system, ISO 50001 and Environmental management programme. These programmes are generally adopted in developed countries and unpopular in developing countries (Moon & Min, ).…”

Section: Introductionmentioning

confidence: 99%

Reducing the energy consumption of Indian iron and steel industry through enhancing energy efficiency: Role of regional coordination

Haider

Mishra

2020

Journal of Public Affairs

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This article aims at estimating the energy efficiency of the iron and steel industry in production theoretic approach. Taking a regional perspective, we have done a meta‐frontier analysis combined with the slack‐based measure of data envelopment analysis (DEA). The results depict huge energy efficiency gap exists across four regions. The northern region is the best performer under group frontier than meta‐frontier DEA. South and west regions are relatively well‐performed under meta‐frontier than group frontier while the eastern region performs moderately well under both frontiers. The results show the significant energy efficiency improvement opportunities available across regions can be realised through technological advancement and energy management.

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“…As the existing literature explains, the two-stage model distinguishes the information from each stage that cannot be recognized in the overall efficiency [54]. Calculating the two component efficiencies as well as the overall efficiency can assist an organization in determining the sources of inefficiency [43].…”

Section: Overview Of the Semiconductor Industry's Overall And Stage-lmentioning

confidence: 99%

Sustainability Assessment of Taiwan’s Semiconductor Industry: A New Hybrid Model Using Combined Analytic Hierarchy Process and Two-Stage Additive Network Data Envelopment Analysis

Lin

2018

Sustainability

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Sustainable development has become the biggest concern of the semiconductor industry, which plays a vital role not only in technology breakthroughs, but also by serving as an enabler for sustainability. This study combines Analytic Hierarchy Process (AHP) and additive network Data Envelopment Analysis (DEA) to measure the sustainable performance which are derived from business growth stage and energy utilization stage through the parametric linear program. Meanwhile, this method makes up the disadvantage of the weighting technique used additive decomposition approach to the two-stage network and avoids biasing toward the second stage. The findings demonstrate that Taiwan’s semiconductor manufacturing sector has exhibited a steady increase in its overall trend of sustainability performance. According to the stage-level performance results, the performance of business growth is better than energy utilization. However, the changing trend of overall sustainability performance is through a steady increase from environmental efficiency and not from economic efficiency.

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Assessing energy efficiency and the related policy implications for energy-intensive firms in Korea: DEA approach

Cited by 75 publications

References 37 publications

Revisiting China’s provincial energy efficiency and its influencing factors

Revisiting China’s provincial energy efficiency and its influencing factors

Reducing the energy consumption of Indian iron and steel industry through enhancing energy efficiency: Role of regional coordination

Sustainability Assessment of Taiwan’s Semiconductor Industry: A New Hybrid Model Using Combined Analytic Hierarchy Process and Two-Stage Additive Network Data Envelopment Analysis

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