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

2018 ◽  
Vol 10 (12) ◽  
pp. 4657 ◽  
Author(s):  
Tzu-Yu Lin ◽  
Sheng-Hsiung Chiu
Keyword(s):  
Chinese Government ◽  
Economic Systems ◽  
Low Carbon ◽  
Two Stage ◽  
Network Dea ◽  
Regional Economic ◽  
Energy Infrastructure ◽  
Dea Model ◽  
Sustainable Performance ◽  
Low Carbon Energy

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.

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

2020 ◽  
Vol 12 (7) ◽  
pp. 2851 ◽  
Author(s):  
Sheng-Hsiung Chiu ◽  
Tzu-Yu Lin ◽  
Hai-Lan Yang
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Co2 Emissions ◽  
Energy Performance ◽  
Portfolio Performance ◽  
Low Carbon ◽  
Two Stage ◽  
Regional Economic ◽  
Regional Sustainable Development ◽  
Carry Over

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 CO2 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 CO2 emissions, and is also a major driving force in the regional economic growth.

scholarly journals Overall Efficiency and its Decomposition in a Two-Stage Network DEA Model

2017 ◽  
Vol 2 (3) ◽  
pp. 161-192 ◽  
Author(s):  
Guo-Liang Yang ◽  
Yao-Yao Song ◽  
Dong-Ling Xu ◽  
Jian-Bo Yang
Keyword(s):  
Two Stage ◽  
Network Dea ◽  
Dea Model ◽  
Overall Efficiency

Efficiency evaluation of regional ecological economic systems based on the network DEA model

2020 ◽  
Vol 13 (3) ◽  
pp. 286
Author(s):  
Teng Ren ◽  
Zhongbao Zhou ◽  
Sidi Li ◽  
Shijian Wu ◽  
Binghua Song
Keyword(s):  
Economic Systems ◽  
Efficiency Evaluation ◽  
Network Dea ◽  
Dea Model ◽  
Ecological Economic

Analyzing sustainable power supply chain performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiasen Sun ◽  
Shuqi Xu ◽  
Guo Li
Keyword(s):  
Power Generation ◽  
Power Supply ◽  
Regional Differences ◽  
Generation System ◽  
Two Stage ◽  
Content Type ◽  
Dea Model ◽  
Sustainable Performance ◽  
Proposed Model ◽  
Power Generation System

PurposeThe power industry is the pillar industry of the Chinese economy, and also a major carbon emitter. The performances of both the production and operation of the power industry are crucial for a harmonious development of society. This study proposes an improved data envelopment analysis (DEA) model to analyze the sustainable performance of China's power supply chain (PSC).Design/methodology/approachTo analyze the sustainable performance of PSC systems in China's provincial regions, this study proposes a two-stage directional distance function (DDF) model. The proposed model not only considers the leader–follower game relationship between the power-generation system and the retail system, but also considers the factors that measure the sustainability level of the PSC.FindingsThe proposed model is applied to assess the sustainable performance of the PSCs of China's provincial regions. The findings are valuable and mainly include the following aspects: First, compared with other models, this study regards the intermediate variable of the power system as a freely disposable variable; therefore, the efficiency of the proposed model is more realistic. Second, the average efficiency of China's power retailing system is generally lower than the average efficiency of its power-generation system. Third, significant regional differences affect the power-generation efficiency, while the regional differences in power retail efficiency are not significant. The power-generation performances of PSCs in East China and Northeast China are generally higher than in other regions.Originality/valueThis study introduces the convex technique into a DEA model and thus proposes an improved two-stage DDF DEA model. In response to the game-theoretic inherent in power systems, this study also introduces the leader–follower game into the two-stage model. In addition to the theoretic novelty, all PSCs can be classified with this model. Moreover, specific recommendations for each type of PSCs are proposed based on the efficiency results, thus providing vital guidance for the practice.

scholarly journals Policy delivery for low carbon energy infrastructure in the UK, april 5th 2013: Conference overview

Energy Policy ◽  
2013 ◽  
Vol 61 ◽  
pp. 1367-1369 ◽  
Author(s):  
Raphael J. Heffron ◽  
Angus Johnston ◽  
Darren McCauley ◽  
Kirsten Jenkins
Keyword(s):  
Low Carbon ◽  
Energy Infrastructure ◽  
The Uk ◽  
Low Carbon Energy

scholarly journals Stochastic p-robust approach to two-stage network DEA model

2019 ◽  
Vol 3 (2) ◽  
pp. 315-346 ◽  
Author(s):  
Rita Shakouri ◽  
◽  
Maziar Salahi ◽  
Sohrab Kordrostami ◽  
Keyword(s):  
Two Stage ◽  
Network Dea ◽  
Robust Approach ◽  
Dea Model
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