Energy and CO2 emissions efficiency of major economies: A network DEA approach

Iftikhar, Yaser; Wang, Zhaohua; Zhang, Bin; Wang, Bo

doi:10.1016/j.energy.2018.01.012

Cited by 121 publications

(49 citation statements)

References 61 publications

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“…In the previous literature, there are several studies that have addressed the topic of environmental efficiency of selected countries, economic or political communities. Some of these studies addressed global environmental issues [1][2][3][4], some addressed issues of selected political groups, such as the V4 [5], selected geographic groupings [6], or selected countries of the world [7][8][9][10][11], but many studies have dealt with the issue of environmental efficiency and the state of the environment in the EU. The authors of study [12] analyzed the countries of the European Union in 2001-2008 from the point of view of energy and environmental eco-efficiency; the authors found that countries with strong environmental policies are less efficient than countries where the environment is not so important, also pointing to the inefficiency of Eastern European countries.…”

Section: Introductionmentioning

confidence: 99%

Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach

Lacko

Hajduová

2018

Sustainability

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The article discusses the environmental efficiency of the countries of the European Union and its main objective is to verify models that could be used to explain changes in efficiency in selected countries and to add to the contributions of other authors. Two-step Data Envelopment Analysis (DEA) has been used, which is a suitable method for verifying the statistical significance of environmental variables. Two DEA models—CCR and BCC—were used and efficiencies have undergone a double-bootstrap procedure. As input variables, three emission per capita indices were computed to single output GDP per capita. Three truncated regression models have been proposed. Results have shown that the model with drivers of climate change and variables connected to socio-economic factors is the most relevant and significant. There are common variables, whose improvement increases the efficiencies in all European Union countries, but there are also indices which have to be considered in individual/subgroup policies and implications, such as environmental taxes, waste management, resources productivity, and transport of goods management.

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Section: Introductionmentioning

confidence: 99%

Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach

Lacko

Hajduová

2018

Sustainability

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“…In managerial practice, more insights into sustainable performance can be found in the Network DEA model, which is known for its abundance of information [28]. Though Network DEA has become more prominent in performance evaluation, with applications in various fields [29][30][31][32], few studies have used the Network DEA approach for regional sustainable performance evaluation [33,34]. Wu et al [27] proposed a DEA model to estimated energy usage efficiency, CO 2 emission efficiency, and economic-environmental efficiency for Asia-Pacific Economic Cooperation (APEC) economies, in which a group of specific variables, including population, total primary energy consumption, GDP, and CO 2 emission, were used.…”

Section: Sustainable Performance Model Development Based On Network Dmentioning

confidence: 99%

Sustainable Performance of Low-Carbon Energy Infrastructure Investment on Regional Development: Evidence from China

Lin

Chiu

2018

Sustainability

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In the 13th Five-Year Plan, the Chinese government declared that one of the sustainable policy priorities is improving the energy supply composition in order to reduce greenhouse gas emissions. In accordance with the Plan, the Guangdong government subsequently planned to invest in low-carbon energy infrastructure from 2016 to 2020. Using data from Guangdong province and other regions in China for 2007–2016, we propose a two-stage network data envelopment analysis (Network DEA) model to examine the sustainable performance of the Chinese regional/provincial economic system. We postulated that the less sustainable performance of Chinese regional economic systems may be attributed to lower energy productivity performance. However, we found that increased governmental and industrial spending on electricity mix improvement by building new low-carbon power plants created momentum in Guangdong’s economic growth, which experienced an annual rise of roughly 1.16%. Finally, the results from the two-stage Network DEA model showed that Guangdong fared better than other provinces with respect to sustainable performance. Investment in low-carbon energy infrastructure is not only a measure to combat CO2 emission, but could act as the driving force of regional economic systems.

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“…Using a two-stage framework, we are able to open the DMU black box and decompose it into different stages, under a divisional structure with network connections. This method is commonly used to depict the operational structure in many industries [17][18][19][20][21][22]. In this paper, we adopt the basic assumptions of Tone and Tsutsui [16].…”

Section: Introductionmentioning

confidence: 99%

Measuring Energy Performance for Regional Sustainable Development in China: A New Framework based on a Dynamic Two-Stage SBM Approach

2020

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Sustainable development has always been an important issue for all policy makers, even more so now, as global warming has seriously threatened the whole world. To understand the efficacy of regional sustainable policies, we proposed a dynamic, two-stage, slacks-based measure (SBM) model with carry-over and intermediate variables, highlighting the importance of an electricity portfolio, to measure overall energy performance for the purpose of regional sustainable development. In this unified linear programming framework with intertemporal evaluation, we estimated the effects of a clean electricity supply by the abatement of CO 2 emissions and the gain of economic growth. The results can be used as a reference for decision makers to shape regional sustainable development policies. Using data of 30 provincial administration regions in China for the period of 2012-2017, we postulate that the lower energy performance of the Chinese regional economic system for sustainable development may be attributed to a lower electricity portfolio performance. We then postulate that investment in low-carbon energy infrastructure can combat CO 2 emissions, and is also a major driving force in the regional economic growth.

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Energy and CO2 emissions efficiency of major economies: A network DEA approach

Cited by 121 publications

References 61 publications

Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach

Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach

Sustainable Performance of Low-Carbon Energy Infrastructure Investment on Regional Development: Evidence from China

Measuring Energy Performance for Regional Sustainable Development in China: A New Framework based on a Dynamic Two-Stage SBM Approach

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