Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs

Shi, Guangming; Bi, Jun; Wang, Jinnan

doi:10.1016/j.enpol.2010.06.003

Cited by 349 publications

(153 citation statements)

References 28 publications

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“…Most of them concentrated in the regions of China (Watanabe and Tanaka, 2007;Bian and Yang, 2010;Guo et al, 2011;Shi et al, 2010;Wang et al, 2012). In addition Mandal and Madheswaran (2010) measured regional environmental efficiency for 20 Indian states in terms of cement production, whereas Macpherson et al (2010) In our analysis we are using regional data collected from two different regional databases (EUROSTAT 9 and OECD 10 ) for the year 2007.…”

Section: Data and Variablesmentioning

confidence: 99%

A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions

Halkos

Tzeremes

2013

European Journal of Operational Research

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Section: Data and Variablesmentioning

confidence: 99%

A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions

Halkos

Tzeremes

2013

European Journal of Operational Research

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“…Because capital stock data are not available, assuming the case of a constant depreciation rate, changes in investment can closely convey changes in capital stock [40]. We used the amount of fixed capital investment to represent capital stock input, common with other authors [41,42]. Even though it is a commonly recommended proxy for cases where data are unavailable, there are also some limitations to this approach because fixed capital investment can differ from true capital input.…”

Section: Indicator Selection and Data Sourcesmentioning

confidence: 99%

Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model

2015

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Many countries are attempting to reduce energy consumption and CO2 emissions while increasing the productivity and efficiency of their industries. An undesirable-output-oriented data envelopment analysis (DEA) model with slacks-based measure (SBM) was used to evaluate the changes in the environmental efficiency of the transportation sector in 30 Chinese provinces (municipalities and autonomous regions) between 2003 and 2012. The potential for decreasing CO2 emissions and energy saving was also assessed. Transportation was found to be inefficient in most of the provinces and the average environmental efficiency was low (0.45). The overall average efficiency reached a maximum in 2005 and continually decreased until a minimum was reached in 2009; since then, it has increased. In general, transportation is more efficient in eastern than in central or western China. A sensitivity analysis was also carried out on the input and output indicators. Based on these findings, some policies are proposed to improve the environmental efficiency of the transportation sector in China.

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“…Since its introduction, DEA has been extensively employed in economic analysis to calculate measures of efficiencies in various situations and industries, such as transportation [29,31,32], government and public sector [33][34][35], public utilities [21,22,[36][37][38], healthcare [39][40][41], education [42,43], banking and finance [44,45], energy and environmental studies [46][47][48][49][50][51][52], manufacturing and information technology [53][54][55][56].…”

Section: Dea Methodsmentioning

confidence: 99%

Efficiency, Conflicting Goals and Trade-Offs: A Nonparametric Analysis of the Water and Wastewater Service Industry in Italy

Storto

2018

Sustainability

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This paper presents a benchmarking study of the water and wastewater industry in Italy. A three-stage modeling approach was implemented to measure the efficiency of 53 utility operators. This approach is based on the implementation of network and conventional data envelopment analysis (DEA) to model the production process of the water service utility operators. In comparison to the conventional black-box or one-stage production model generally adopted in previous studies, the proposed approach provides information relative to the different efficiency components of the stages and blocks of the water service production process and its overall efficiency. Further, by shifting the efficiency analysis to a two-dimensional performance space, i.e., resource and market-efficiency, it offers a more comprehensive view of the water service industry and allows accounting for different business goals at the same time and for an investigation of industry trade-offs. Results show that the operators' efficiencies in the Italian water service industry are generally variable and low. There are no water service utilities which are 100% efficient from the resource-efficiency perspective, and the maximum efficiency score is 0.545. Efficiency measurements suggest that there is a general orientation of the Italian water industry to not invest in upgrading and improving the infrastructure assets, and achieving an acceptable efficiency in the operations is critical to delivering water services to market in an efficient way. Only one utility operator is 100% efficient from the market-efficiency perspective. The low tariffs adopted by the water service operators do not allow the gaining of satisfactory service remuneration and the achievement of long-term business sustainability. The joint analysis of the resource and market efficiency scores indicates that there is a trade-off between the corresponding business goals.

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Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs

Cited by 349 publications

References 28 publications

A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions

A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions

Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model

Efficiency, Conflicting Goals and Trade-Offs: A Nonparametric Analysis of the Water and Wastewater Service Industry in Italy

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