IDEAS home Printed from https://ideas.repec.org/r/eee/enepol/v63y2013icp962-971.html
   My bibliography  Save this item

Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Fan Jianping & Yue Weizhen & Wu Meiqin, 2015. "Dealing with Interval DEA Based on Error Propagation and Entropy: A Case Study of Energy Efficiency of Regions in China Considering Environmental Factors," Journal of Systems Science and Information, De Gruyter, vol. 3(6), pages 538-548, December.
  2. Chu, Junfei & Shao, Caifeng & Emrouznejad, Ali & Wu, Jie & Yuan, Zhe, 2021. "Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach," Energy Economics, Elsevier, vol. 101(C).
  3. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.
  4. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
  5. Huang, Chin-wei & Chiu, Yung-ho & Fang, Wei-ta & Shen, Neng, 2014. "Assessing the performance of Taiwan’s environmental protection system with a non-radial network DEA approach," Energy Policy, Elsevier, vol. 74(C), pages 547-556.
  6. Fang Guo & Tao Zhao & Yanan Wang & Yue Wang, 2016. "Estimating the abatement potential of provincial carbon intensity based on the environmental learning curve model in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 685-705, October.
  7. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
  8. Li, Ke & Lin, Boqiang, 2015. "The efficiency improvement potential for coal, oil and electricity in China's manufacturing sectors," Energy, Elsevier, vol. 86(C), pages 403-413.
  9. Wei, Wei & Hu, Haiqing & Chang, Chun-Ping, 2022. "Why the same degree of economic policy uncertainty can produce different outcomes in energy efficiency? New evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 467-481.
  10. Wang, Xiaolei & Lin, Boqiang, 2016. "How to reduce CO2 emissions in China׳s iron and steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1496-1505.
  11. Shixiong Cheng & Wei Liu & Kai Lu, 2018. "Economic Growth Effect and Optimal Carbon Emissions under China’s Carbon Emissions Reduction Policy: A Time Substitution DEA Approach," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
  12. Sheng-Hsiung Chiu & Tzu-Yu Lin & Hai-Lan Yang, 2020. "Measuring Energy Performance for Regional Sustainable Development in China: A New Framework based on a Dynamic Two-Stage SBM Approach," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
  13. Ming Meng & Yanan Fu & Tianyu Wang & Kaiqiang Jing, 2017. "Analysis of Low-Carbon Economy Efficiency of Chinese Industrial Sectors Based on a RAM Model with Undesirable Outputs," Sustainability, MDPI, vol. 9(3), pages 1-18, March.
  14. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
  15. Lin, Boqiang & Long, Houyin, 2014. "How to promote energy conservation in China’s chemical industry," Energy Policy, Elsevier, vol. 73(C), pages 93-102.
  16. Zhang, Puwei & You, Jianxin & Jia, Guangshe & Chen, Jindao & Yu, Anyu, 2018. "Estimation of carbon efficiency decomposition in materials and potential material savings for China's construction industry," Resources Policy, Elsevier, vol. 59(C), pages 148-159.
  17. Ji Guo & Dongdong Zhu & Xianhua Wu & Yaozhen Yan, 2017. "Study on Environment Performance Evaluation and Regional Differences of Strictly-Environmental-Monitored Cities in China," Sustainability, MDPI, vol. 9(12), pages 1-20, December.
  18. Wang, Zhaojing & Jiang, Qingzhe & Dong, Kangyin & Mubarik, Muhammad Shujaat & Dong, Xiucheng, 2020. "Decomposition of the US CO2 emissions and its mitigation potential: An aggregate and sectoral analysis," Energy Policy, Elsevier, vol. 147(C).
  19. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
  20. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
  21. Jiasen Sun & Guo Li, 2022. "Optimizing emission reduction task sharing: technology and performance perspectives," Annals of Operations Research, Springer, vol. 316(1), pages 581-602, September.
  22. Wen Guo & Tao Sun & Hongjun Dai, 2017. "Efficiency Allocation of Provincial Carbon Reduction Target in China’s “13·5” Period: Based on Zero-Sum-Gains SBM Model," Sustainability, MDPI, vol. 9(2), pages 1-18, January.
  23. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
  24. Li, Xiaoyan, 2020. "Design of energy-conservation and emission-reduction plans of China’s industry: Evidence from three typical industries," Energy, Elsevier, vol. 209(C).
  25. Li, Ke & Lin, Boqiang, 2015. "The improvement gap in energy intensity: Analysis of China's thirty provincial regions using the improved DEA (data envelopment analysis) model," Energy, Elsevier, vol. 84(C), pages 589-599.
  26. Lai-Wang Wang & Ke-Duc Le & Thi-Duong Nguyen, 2019. "Assessment of the Energy Efficiency Improvement of Twenty-Five Countries: A DEA Approach," Energies, MDPI, vol. 12(8), pages 1-14, April.
  27. Paul Mugambi & Miguel Blanco & Daniel Ogachi & Marcos Ferasso & Lydia Bares, 2021. "Analysis of the Regional Efficiency of European Funds in Spain from the Perspective of Renewable Energy Production: The Regional Dimension," IJERPH, MDPI, vol. 18(9), pages 1-16, April.
  28. Nie, Hongguang & Zhou, Ting & Lu, Haiyan & Huang, Shupeng, 2021. "Evaluation of the efficiency of Chinese energy-saving household appliance subsidy policy: An economic benefit perspective," Energy Policy, Elsevier, vol. 149(C).
  29. Pan Jiang & Mengyue Li & Yuting Zhao & Xiujuan Gong & Ruifeng Jin & Yuhan Zhang & Xue Li & Liang Liu, 2022. "Does Environmental Regulation Improve Carbon Emission Efficiency? Inspection of Panel Data from Inter-Provincial Provinces in China," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
  30. Lei, Ming & Yin, Zihan & Yu, Xiaowen & Deng, Shijie, 2017. "Carbon-weighted economic development performance and driving force analysis: Evidence from China," Energy Policy, Elsevier, vol. 111(C), pages 179-192.
  31. Yao, Xin & Zhou, Hongchen & Zhang, Aizhen & Li, Aijun, 2015. "Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis," Energy Policy, Elsevier, vol. 84(C), pages 142-154.
  32. Wu, Haitao & Xue, Yan & Hao, Yu & Ren, Siyu, 2021. "How does internet development affect energy-saving and emission reduction? Evidence from China," Energy Economics, Elsevier, vol. 103(C).
  33. Luning Shao & Jianxin You & Tao Xu & Yilei Shao, 2020. "Non-Parametric Model for Evaluating the Performance of Chinese Commercial Banks’ Product Innovation," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
  34. Bai-Chen Xie & Jie Gao & Shuang Zhang & ZhongXiang Zhang, 2017. "What Factors Affect the Competiveness of Power Generation Sector in China? An Analysis Based on Game Cross-efficiency," Working Papers 2017.12, Fondazione Eni Enrico Mattei.
  35. Ze Tian & Fang-Rong Ren & Qin-Wen Xiao & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Cross-Regional Comparative Study on Carbon Emission Efficiency of China’s Yangtze River Economic Belt Based on the Meta-Frontier," IJERPH, MDPI, vol. 16(4), pages 1-19, February.
  36. Kangjuan Lv & Anyu Yu & Yiwen Bian, 2017. "Regional energy efficiency and its determinants in China during 2001–2010: a slacks-based measure and spatial econometric analysis," Journal of Productivity Analysis, Springer, vol. 47(1), pages 65-81, February.
  37. Chen, Yingwen & Wong, Christina W.Y. & Yang, Rui & Miao, Xin, 2021. "Optimal structure adjustment strategy, emission reduction potential and utilization efficiency of fossil energies in China," Energy, Elsevier, vol. 237(C).
  38. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).
  39. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
  40. Zheng, Xuejing & Yang, Xueqing & Miao, Hongfei & Liu, Huzhen & Yu, Yanzhe & Wang, Yaran & Zhang, Huan & You, Shijun, 2022. "A factor analysis and self-organizing map based evaluation approach for the renewable energy heating potentials at county level: A case study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
  41. Zhou, D.Q. & Wu, F. & Zhou, X. & Zhou, P., 2016. "Output-specific energy efficiency assessment: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 177(C), pages 117-126.
  42. Marcos Ferasso & Miguel Blanco & Lydia Bares, 2021. "A Data Envelopment Analysis of the Impact of European Funds on Environmental Indicators," IJERPH, MDPI, vol. 18(6), pages 1-15, March.
  43. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
  44. Zheng, Saina & Lam, Chor-Man & Hsu, Shu-Chien & Ren, Jingzheng, 2018. "Evaluating efficiency of energy conservation measures in energy service companies in China," Energy Policy, Elsevier, vol. 122(C), pages 580-591.
  45. Yue-Jun Zhang & Yan-Lin Jin & Bo Shen, 2020. "Measuring the Energy Saving and CO2 Emissions Reduction Potential Under China’s Belt and Road Initiative," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1095-1116, April.
  46. Jiang, Xuemei & Duan, Yuwan & Green, Christopher, 2017. "Regional disparity in energy intensity of China and the role of industrial and export structure," Resources, Conservation & Recycling, Elsevier, vol. 120(C), pages 209-218.
  47. Yiwen Bian & Kangjuan Lv & Anyu Yu, 2017. "China’s regional energy and carbon dioxide emissions efficiency evaluation with the presence of recovery energy: an interval slacks-based measure approach," Annals of Operations Research, Springer, vol. 255(1), pages 301-321, August.
  48. Qiong Xia & Min Li & Huaqing Wu & Zhenggang Lu, 2016. "Does the Central Government’s Environmental Policy Work? Evidence from the Provincial-Level Environment Efficiency in China," Sustainability, MDPI, vol. 8(12), pages 1-17, December.
  49. Na Wang & Yongrok Choi, 2019. "Comparative Analysis of the Energy and CO 2 Emissions Performance and Technology Gaps in the Agglomerated Cities of China and South Korea," Sustainability, MDPI, vol. 11(2), pages 1-25, January.
  50. Du, Xiaoyun & Meng, Conghui & Guo, Zhenhua & Yan, Hang, 2023. "An improved approach for measuring the efficiency of low carbon city practice in China," Energy, Elsevier, vol. 268(C).
  51. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
  52. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
  53. Xie, Qiwei & Hu, Ping & Jiang, An & Li, Yongjun, 2019. "Carbon emissions allocation based on satisfaction perspective and data envelopment analysis," Energy Policy, Elsevier, vol. 132(C), pages 254-264.
  54. Kiril Simeonovski & Tamara Kaftandzieva & Gregory Brock, 2021. "Energy Efficiency Management across EU Countries: A DEA Approach," Energies, MDPI, vol. 14(9), pages 1-19, May.
  55. Svetlana Ratner & Andrey Lychev & Aleksei Rozhnov & Igor Lobanov, 2021. "Efficiency Evaluation of Regional Environmental Management Systems in Russia Using Data Envelopment Analysis," Mathematics, MDPI, vol. 9(18), pages 1-21, September.
  56. Weibin Lin & Bin Chen & Lina Xie & Haoran Pan, 2015. "Estimating Energy Consumption of Transport Modes in China Using DEA," Sustainability, MDPI, vol. 7(4), pages 1-15, April.
  57. Jiang, Xuemei & Zhu, Kunfu & Green, Christopher, 2015. "China's energy saving potential from the perspective of energy efficiency advantages of foreign-invested enterprises," Energy Economics, Elsevier, vol. 49(C), pages 104-112.
  58. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
  59. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Regional heterogeneity of China's energy efficiency in “new normal”: A meta-frontier Super-SBM analysis," Energy Policy, Elsevier, vol. 134(C).
  60. Xie, Bai-Chen & Gao, Jie & Zhang, Shuang & Pang, Rui-Zhi & Zhang, ZhongXiang, 2018. "The environmental efficiency analysis of China’s power generation sector based on game cross-efficiency approach," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 126-135.
  61. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
  62. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.
  63. Linlin Zhao & Yong Zha & Kangning Wei & Liang Liang, 2017. "A target-based method for energy saving and carbon emissions reduction in China based on environmental data envelopment analysis," Annals of Operations Research, Springer, vol. 255(1), pages 277-300, August.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.