The analysis of energy efficiency of the Mediterranean countries: A two-stage double bootstrap DEA approach

Jebali, Eya; Essid, Hédi; Khraief, Naceur

doi:10.1016/j.energy.2017.06.063

Cited by 150 publications

(80 citation statements)

References 37 publications

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“…Although two-stage efficiency was better in provinces with a higher industrial output, there is still room for improvement. (5) In terms of efficiency of all indicators, the efficiency scores of industrial GDP and industrial fixed assets are relatively good, while the efficiency scores of industrial labor, industrial energy consumption, SO 2 emission, NO X emission, health expenditure, and medical staff input are relatively low and vary from province to province. Among these, the efficiency of industrial GDP in most provinces reached 1 in the four-year period, and only Gansu, Guizhou, Heilongjiang, Liaoning, and Shanxi failed to reach 1.…”

Section: Discussionmentioning

confidence: 99%

The Dynamic Analysis of the Pollutant Emissions Impact on Human Health in China Industries Based on the Meta-Frontier DEA

Shi

Chiu

2019

Healthcare

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Environmental pollutant emissions have become increasingly serious, and the resulting human health problems have become the focus of social attention. In this study, 30 provinces in China were selected as the object of study, SO2, NOX (nitrogen oxide), and PM2.5 were taken as undesirable outputs, and a meta-frontier dynamic data envelopment analysis model was adopted to avoid the disadvantages of static analysis. In this paper, energy efficiency, environmental pollution efficiency, and human health efficiency were incorporated into a unified analysis framework by constructing a two-stage model of the production and health stages. The study shows that the total efficiency score of nine provinces and cities, including Beijing, is 1. However, the score of two-stage efficiency in most provinces, such as Anhui, is less than 1, and the score of production efficiency is higher than that of health efficiency. In the second stage, the average efficiency of health expenditure and medical staff input is low, so it is necessary to make targeted improvement. In this regard, it is necessary for the government to increase health expenditure to improve the overall level of health efficiency.

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Section: Discussionmentioning

confidence: 99%

The Dynamic Analysis of the Pollutant Emissions Impact on Human Health in China Industries Based on the Meta-Frontier DEA

Shi

Chiu

2019

Healthcare

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“…One of the benefits of using DEA is that "it provides a non-parametric estimate of the efficiency of each DMU compared to the best practice frontier constructed by the best-performing DMUs" [10].…”

Section: Dea Bcc Model and Non-decreasing Returns To Scalementioning

confidence: 99%

“…There is a new variable of z, which represents the intermediate variable, and a new weight of w, which is associated to this variable. Equation (10) ensures that the second stage efficiency is less or equal to 1, while Equation 11 ensures this condition for the first stage. As discussed previously, for this model, the OPEX is used as input, while the consumers and consumption are used as outputs.…”

Section: Network Dea Modelsmentioning

confidence: 99%

Evaluation of Energy Distribution Using Network Data Envelopment Analysis and Kohonen Self Organizing Maps

et al. 2018

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This article presents an alternative way of evaluating the efficiency of the electric distribution companies in Brazil. This assessment is currently performed and designed by the National Electric Energy Agency (ANEEL), a Brazilian regulatory agency, to regulate energy prices. This involves calculating the X-factor, which represents the efficiency evolution in the price-cap regulation model. The proposed model aims to use a network Data Envelopment Analysis (DEA) model with the network dimension as an intermediate variable and to use Kohonen Self-Organizing Maps (SOM) to correct the difficulties presented by environmental variables. In order to find which environmental variables influence the efficiency, factor analysis was used to reduce the dimensionality of the model. The analysis still uses multiple regression with the previous efficiency as the dependent variable and the four factors extracted from factor analysis as independent variables. The SOM generated four clusters based on the environment and the efficiency for each distributor in each group. This allows for a better evaluation of the correction in the X-factor, since it can be conducted inside each cluster with a maintained margin for comparison. It is expected that the use of this model will reduce the margin of questioning by distributors about the evaluation.

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“…Zhu et al [19] utilized network data envelopment analysis on the production and ecological efficiencies of Chinese provinces, presenting findings that the ecological efficiency of each province is low. Jebali et al [20] used the two-stage double bootstrap DEA approach to explore the energy efficiency of Mediterranean countries from 2009 to 2012, stating that energy efficiency in these countries is high. Per capita gross national income, population density, and renewable energy use could affect energy efficiency performance.…”

Section: Introductionmentioning

confidence: 99%

“…Feng et al [32] utilized the three-hierarchy meta-frontier data envelopment model to analyze the emission efficiency of 30 provinces in China, noting that China's carbon dioxide emissions efficiency is relatively low. Jebali et al [20] studied the effects of energy efficiency emissions in Mediterranean countries from 2009 to 2012, presenting that these countries have high energy efficiency standards.…”

Section: Introductionmentioning

confidence: 99%

The Energy Efficiency and the Impact of Air Pollution on Health in China

Chiu

Chang

et al. 2020

Healthcare

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The rapid growth of China's economy in recent years has greatly improved its citizens' living standards, but economic growth consumes many various energy sources as well as produces harmful air pollution. Nitrogen oxides, SO 2 (sulfur dioxide), and other polluting gases are damaging the environment and people's health, with a particular spike in incidences of many air pollution-related diseases in recent years. While there have been many documents discussing China's energy and environmental issues in the past, few of them analyze economic development, air pollution, and residents' health together. Therefore, this study uses the modified undesirable dynamic two-stage DEA (data envelopment analysis) model to explore the economic, environmental, and health efficiencies of 30 provinces in China. The empirical results show the following: (1) Most provinces have lower efficiency values in the health stage than in the production stage. (2) Among the provinces with annual efficiency values below 1, their energy consumption, CO 2 (carbon dioxide), and NOx (nitrogen oxide) efficiency values have mostly declined from 2013 to 2016, while their SO 2 efficiency values have increased (less SO 2 emissions). (3) The growth rate of SO 2 efficiency in 2016 for 10 provinces is much higher than in previous years. (4) The health expenditure efficiencies of most provinces are at a lower level and show room for improvement. (5) In most provinces, the mortality rate is higher, but on a decreasing trend. (6) Finally, as representative for a typical respiratory infection, most provinces have a high level of tuberculosis efficiency, indicating that most areas of China are highly effective at respiratory disease governance.With the largest coal demand in the world, the China government attaches great importance to the prevention and treatment of air pollution. The World Energy Outlook 2017 China Special Report [3] showed that China will continue in its efforts to intensify energy technology innovation, improve the clean and efficient use of fossil energy, accelerate the construction of a clean, low-carbon, safe, and efficient modern energy system, and strive to fulfill its responsibilities and obligations. "The Action Plan for the Comprehensive Management of Air Pollution in the Autumn and Winter of 2019-2020 in the Yangtze River Delta Region" [4] presents the regulation of air pollution in 41 cities at the prefecture level and above in this region for adjusting the industrial structure of heavily polluting industries. Many past research studies have focused on the efficiency of production, energy, environment, treatment and undesirable output analyses, such as . In addition to energy and environmental efficiency analyses, some scholars have explored the effects of exposure to air pollution on human health, such as [42][43][44][45][46][47].Past related literature is generally based on static analysis, lacking time considerations and mostly focusing on energy and environmental topics. Moreover, very few studies have jointly investigated econo...

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The analysis of energy efficiency of the Mediterranean countries: A two-stage double bootstrap DEA approach

Cited by 150 publications

References 37 publications

The Dynamic Analysis of the Pollutant Emissions Impact on Human Health in China Industries Based on the Meta-Frontier DEA

The Dynamic Analysis of the Pollutant Emissions Impact on Human Health in China Industries Based on the Meta-Frontier DEA

Evaluation of Energy Distribution Using Network Data Envelopment Analysis and Kohonen Self Organizing Maps

The Energy Efficiency and the Impact of Air Pollution on Health in China

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