Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region

Li, Jinchao; Xiang, Yu; Jia, Huanyu; Lin, Chenyu

doi:10.3390/su10010111

Cited by 23 publications

(10 citation statements)

References 23 publications

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“…Contrary to this conclusion, Choi et al concluded in the study of the Sustainable Performance of the Steel Industry in Korea, that most steel firms are increasing returns to scale, so they can enhance their efficiency by increasing their scale [4]. It is noteworthy that even if Korea and China share many common key drivers for green growth [2], the role of key drivers could differ [3,4]. Nonetheless, these two countries share a strong potential to cooperate together on sustainable development strategies such as the emission-trading scheme (ETS) in the macro-perspective, and regional green supply chain management in the micro-perspective.…”

Section: Feasibility Issues Of the Regional Cooperationmentioning

confidence: 71%

“…Sustainable development is positively related to economic growth in China and Korea, but negatively related with energy efficiency improvements in Russia and the Democratic People's Republic of Korea (DPRK), while it is relatively complicated in Japan and Mongolia due to a combination of these factors [2]. More specifically, in the analysis of total factor energy efficiency (TFEE) of 27 industries in the Jing-Jin-Ji region, Li et al found the fact that the TFEE changes in the three major industries in the Jing-Jin-Ji region are caused by technological progress [3]. Contrary to this conclusion, Choi et al concluded in the study of the Sustainable Performance of the Steel Industry in Korea, that most steel firms are increasing returns to scale, so they can enhance their efficiency by increasing their scale [4].…”

Section: Feasibility Issues Of the Regional Cooperationmentioning

confidence: 99%

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Regional Cooperation for the Sustainable Development and Management in Northeast Asia

Choi

2018

Sustainability

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Abstract:The Northeast Asian countries are the most pro-active regions in the world to take on the challenges of sustainable development. With this background, there has been an annual series of Sustainable Asia Conferences (SAC) which date back to the first inaugural meeting in 2009. This special issue consists of selected papers from the SAC 2017, held in Nanjing, China, from 23-25 June. With ten years of accumulated experience, SAC became one of the leading international conferences for presenting innovative or fundamental advances in sustainable development issues for Asia. Over time, SAC introduced more performance-oriented approaches to handle the feasibility of the sustainable development solutions. In this special issue, most of the papers focused on the precise and accurate sustainable governance mechanism in harmonizing economic development with a healthier life, while enhancing the quality of all standards of living. The majority of papers in this special issue also deal with two important pillars of the sustainable development: regional cooperation and regulatory effectiveness. This special edition will propose unique implications and feasible or workable suggestions against global warming and environmental degradation.

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Section: Feasibility Issues Of the Regional Cooperationmentioning

confidence: 71%

Section: Feasibility Issues Of the Regional Cooperationmentioning

confidence: 99%

Regional Cooperation for the Sustainable Development and Management in Northeast Asia

Choi

2018

Sustainability

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“…The EEE is the dependent variable and the explanatory variables used in this study are GDP per capita, carbon intensity, energy intensity, and the openness index. The explanatory variable GDP per capita is repeatedly used in previous studies [40,41]. The second variable, energy intensity affects a country's carbon dioxide emissions.…”

Section: Regression Analysismentioning

confidence: 99%

A DEA Approach for Assessing the Energy, Environmental and Economic Performance of Top 20 Industrial Countries

et al. 2019

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Due to growing concerns of global warming, reducing carbon emissions has become one of the major tasks for developing countries to meet the national demand for energy policies. The objective of this study is to measure the energy consumption, carbon emission and economic-environmental efficiency in terms of the environmental performance of the top 20 industrial countries by employing a data envelopment analysis (DEA) model from 2013 to 2017. This study used the trilemma of energy efficiency, CO2 emission efficiency, and environmental efficiency, and also the contribution included the quantitative analysis of 20 industrial countries The results show that the energy efficiency of Australia, China, Japan, Saudi Arabia, and Poland are the best performing countries, whereas Mexico, Indonesia, Russia, and Brazil are identified as least efficient among all 20 countries. Furthermore, Russia’s energy intensity has a maximum score while Poland has a minimum score. Additionally, in the case of CO2 emission efficiency, Brazil, France, and Saudi Arabia are considered as efficient while nine country’s scores were less than 0.5. The results show that most countries exhibit higher performance in economic efficiency than environmental efficiency. The study provides valuable information for energy policy-makers.

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“…From the perspective of research methods, some studies used social network analysis (SNA) [27][28][29] to analyze the regional carbon emission spatial network structure. Most of the research on carbon emissions focuses on carbon emission measurement and decomposition, carbon emissions' influencing factors, and carbon emission efficiency [30][31][32]. When using traditional spatial measurement methods to analyze carbon emissions and their influencing factors, most of the literature only considers geographically similar factors.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Spatial Network Characteristics and Synergetic Abatement Effect of the Carbon Emissions in Beijing–Tianjin–Hebei Urban Agglomeration

Feng

et al. 2019

Sustainability

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Based on the carbon emission data in the Beijing–Tianjin–Hebei urban agglomeration from 2007 to 2016, this paper used the method of social network analysis (SNA) to investigate the spatial correlation network structure of the carbon emission. Then, by constructing the synergetic abatement effect model, we calculated the synergetic abatement effect in the cities and we empirically examined the influence of the spatial network characteristics on the synergetic abatement effect. The results show that the network density first increased from 0.205 in 2007 to 0.263 in 2014 and then decreased to 0.205 in 2016; the network hierarchy fluctuated around 0.710, and the minimum value of the network efficiency was 0.561, which indicates that the network hierarchy structure is stern and the network has good stability. Beijing and Tianjin are in the center of the carbon emission spatial network and play important “intermediary” and “bridge” roles that can have better control over other carbon emission spatial spillover relations between the cities, thus the spatial network of carbon emissions presents a typical “center–periphery” structure. The synergetic abatement effect increased from −2.449 in 2007 to 0.800 in 2011 and then decreased to −1.653 in 2016; the average synergetic effect was −0.550. This means that the overall synergetic level has a lot of room to grow. The carbon emission spatial network has a significant influence on the synergetic abatement effect, while increasing the network density and the network hierarchy. Decreasing the network efficiency will significantly enhance the synergetic abatement effect.

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Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region

Cited by 23 publications

References 23 publications

Regional Cooperation for the Sustainable Development and Management in Northeast Asia

Regional Cooperation for the Sustainable Development and Management in Northeast Asia

A DEA Approach for Assessing the Energy, Environmental and Economic Performance of Top 20 Industrial Countries

Research on the Spatial Network Characteristics and Synergetic Abatement Effect of the Carbon Emissions in Beijing–Tianjin–Hebei Urban Agglomeration

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