On the dynamics of eco-efficiency performance in the European Union

Gómez-Calvet, Roberto; Conesa, David; Gómez-Calvet, Ana Rosa; Tortosa‐Ausina, Emili

doi:10.1016/j.cor.2015.07.018

Cited by 65 publications

(23 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They identified tremendous gaps between countries according to income groups, and similarly high-income countries were ranked top. Gómez-Calvet et al (2016) studied the opportunities for abatement of CO 2 , SO 2 and NO x air-pollutants by looking at the evolution of environmental performance over time [46]. They found that the environmental efficiency of European countries had improved over the period 1993-2010.…”

Section: Literature Review-energy-related Country Comparisons With Damentioning

confidence: 99%

Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis

et al. 2020

View full text Add to dashboard Cite

The interest in studying energy systems’ resilience is increasing due to a rising awareness of the importance of having a secure energy supply. This growing trend is a result of a series of recent disruptions, among others also affecting electricity systems. Therefore, it is of crucial importance for policymakers to determine whether their country has a resilient electricity supply. Starting from a set of 12 indicators, this paper uses data envelopment analysis (DEA) to comprehensively evaluate the electricity supply resilience of 140 countries worldwide. Two DEA models are applied: (1) the original ratio-based Charnes, Cooper, and Rhodes (CCR) model and (2) a novel hybrid framework for robust efficiency analysis incorporating linear programming and Monte Carlo simulations. Results show that the CCR model deems 31 countries as efficient and hence lacks the capability to differentiate them. Furthermore, the CCR model considers only the best weight vectors for each country, which are not necessarily representative of the overall performance of the countries. The robustness analysis explores these limitations and identifies South Korea, Singapore and Canada as the most resilient countries. Finally, country analyses are conducted, where Singapore’s and Japan’s performances and improvement potentials are discussed.

show abstract

Section: Literature Review-energy-related Country Comparisons With Damentioning

confidence: 99%

Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Energy consumption and energy intensity, water consumption and water intensity, electricity (Camarero, Castillo, Picazo‐Tadeo, & Tamarit, 2013; Guan & Xu, 2016; Mehmeti, Todorovic, & Scardigno, 2016; Zhou et al, 2018) were selected as the indicators of resource utilization. Sulfur dioxide, soot and dust emission, waste water, and solid waste (Gómez‐Calvet, Conesa, Gómez‐Calvet, & Tortosa‐Ausina, 2016; Yang, Zhou, & Xu, 2015) were selected as the environmental indicators. In addition, labor, capital, and technology (Hengevoss, Baumgartner, Nisato, & Hugi, 2016) were also select as indicators.…”

Section: Introductionmentioning

confidence: 99%

Estimation of eco‐efficiency and identification of its influencing factors in China's Yangtze River Delta urban agglomerations

Zhang

2020

Growth and Change

View full text Add to dashboard Cite

Eco-efficiency is an important indicator which serves as a helpful instrument for the studies of sustainable development. This paper estimated the eco-efficiency of 26 cities in China's Yangtze River Delta urban agglomerations. Based on different matrixes, Moran's I was applied to analyze the spatial correlation. The spatial Durbin model was applied to analyze the direct and indirect effect of influencing factors. Some conclusions were drawn. (a) The average eco-efficiency showed an increasing trend. The regional difference of ecoefficiency decreased and then increased. Shanghai's ecoefficiency had been the highest. (b) The eco-efficiency showed positive spatial autocorrelation and it also exhibited significant characteristic of local spatial autocorrelation. (c) Economic development, fixed assets investment, and technological level of one city had a significant positive impact on the eco-efficiency of the city itself. Industrial structure, fiscal decentralization, and foreign direct investment of a city had a significant negative impact on the eco-efficiency of the city itself. Changes in the economic development and technological levels in a city had positive impacts on the eco-efficiency of its neighboring cities. Foreign direct investment had a negative spatial spillover effect. (d) This paper suggested that it is necessary to pay attention to the interaction of influencing factors among cities.

show abstract

“…Afterwards, this method was rapidly promoted internationally. The relevant follow-up literature position the following as the analysis objects: OECD (Zhou et al [31], Zhou and Ang [32], Agergis et al [33], Guo et al [34]), APEC (Hu and Kao [35], Zhou et al [36], Ke [3]), EU (Bampatsou et al [37], Chang [38], Gómez-Calvet [39], Robaina-Alve et al [40]), and BRICs (Song et al [41]). In addition, there are many other studies applying this method to make comparisons between different countries, involving Ramanathan [42], Zhang et al [43], Cui [44], and Jebali et al [45].…”

Section: Introductionmentioning

confidence: 99%

Emission Reduction and Energy Performance Improvement with Different Regional Treatment Intensity in China

Teng

Chiu

2019

Energies

View full text Add to dashboard Cite

China’s industrial sector, which has a significant position in the world, is the main sector of China’s energy consumption and waste gas emission. China’s government has promulgated a Guiding Opinion, setting key regions to establish an emission reduction target of air pollutants during the 12th five year plan (2011–2015). Thus, there is a different regional treatment of industrial waste gas in China. This study considers the waste gas treatment expenditure as a new input and employs the non-radial directional distance function in the framework of the meta-frontier model to investigate the energy and emission reduction performance of China’s industrial sectors. The study is aimed at finding a significant and expanded technical gap between key and non-key regions in the energy and emission reduction efficiencies. The empirical result presents an effective method to improve the performance by increasing the emission treatment expenditure to reduce emissions.

show abstract

On the dynamics of eco-efficiency performance in the European Union

Cited by 65 publications

References 67 publications

Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis

Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis

Estimation of eco‐efficiency and identification of its influencing factors in China's Yangtze River Delta urban agglomerations

Emission Reduction and Energy Performance Improvement with Different Regional Treatment Intensity in China

Contact Info

Product

Resources

About