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Can China realize its carbon emission reduction goal in 2020: From the perspective of thermal power development

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  1. Xiaopeng Guo & Xiaodan Guo & Jiahai Yuan, 2014. "Impact Analysis of Air Pollutant Emission Policies on Thermal Coal Supply Chain Enterprises in China," Sustainability, MDPI, vol. 7(1), pages 1-21, December.
  2. Chen, Xiuzhi & Liu, Chang & van Oel, Pieter & Mergia Mekonnen, Mesfin & Thorp, Kelly R. & Yin, Tuo & Wang, Jinyan & Muhammad, Tahir & Li, Yunkai, 2022. "Water and carbon risks within hydropower development on national scale," Applied Energy, Elsevier, vol. 325(C).
  3. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
  4. Xiaodan Guo & Dongxiao Niu & Bowen Xiao, 2016. "Assessment of Air-Pollution Control Policy’s Impact on China’s PV Power: A System Dynamics Analysis," Energies, MDPI, vol. 9(5), pages 1-23, May.
  5. Ma, Xuejiao & Wang, Yong & Wang, Chen, 2017. "Low-carbon development of China's thermal power industry based on an international comparison: Review, analysis and forecast," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 942-970.
  6. Ping Wang & Bangzhu Zhu, 2016. "Estimating the Contribution of Industry Structure Adjustment to the Carbon Intensity Target: A Case of Guangdong," Sustainability, MDPI, vol. 8(4), pages 1-11, April.
  7. Zhu, Bangzhu & Ye, Shunxin & Jiang, Minxing & Wang, Ping & Wu, Zhanchi & Xie, Rui & Chevallier, Julien & Wei, Yi-Ming, 2019. "Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach," Applied Energy, Elsevier, vol. 233, pages 196-207.
  8. Jinying Li & Jianfeng Shi & Jinchao Li, 2016. "Exploring Reduction Potential of Carbon Intensity Based on Back Propagation Neural Network and Scenario Analysis: A Case of Beijing, China," Energies, MDPI, vol. 9(8), pages 1-17, August.
  9. Sugiawan, Yogi & Kurniawan, Robi & Managi, Shunsuke, 2019. "Are carbon dioxide emission reductions compatible with sustainable well-being?," Applied Energy, Elsevier, vol. 242(C), pages 1-11.
  10. Wang, Qiang & Song, Xiaoxing & Li, Rongrong, 2018. "A novel hybridization of nonlinear grey model and linear ARIMA residual correction for forecasting U.S. shale oil production," Energy, Elsevier, vol. 165(PB), pages 1320-1331.
  11. Xindong Wang & Chun Yan & Wei Liu & Xinhong Liu, 2022. "Research on Carbon Emissions Prediction Model of Thermal Power Plant Based on SSA-LSTM Algorithm with Boiler Feed Water Influencing Factors," Sustainability, MDPI, vol. 14(23), pages 1-26, November.
  12. Sen, Parag & Roy, Mousumi & Pal, Parimal, 2016. "Application of ARIMA for forecasting energy consumption and GHG emission: A case study of an Indian pig iron manufacturing organization," Energy, Elsevier, vol. 116(P1), pages 1031-1038.
  13. Mengmeng Hu & Yafei Wang & Beicheng Xia & Guohe Huang, 2023. "What is the relationship between energy consumption and economic development? New evidence from a rapidly growing economic development region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3601-3626, April.
  14. Teng, Minmin & Lv, Kunfeng & Han, Chuanfeng & Liu, Pihui, 2023. "Trading behavior strategy of power plants and the grid under renewable portfolio standards in China: A tripartite evolutionary game analysis," Energy, Elsevier, vol. 284(C).
  15. Xin-Long Xu & Hsing Hung Chen, 2020. "Exploring the relationships between environmental management and financial sustainability in the energy industry: Linear and nonlinear effects," Energy & Environment, , vol. 31(7), pages 1281-1300, November.
  16. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
  17. Chang, Jianxia & Li, Yunyun & Yuan, Meng & Wang, Yimin, 2017. "Efficiency evaluation of hydropower station operation: A case study of Longyangxia station in the Yellow River, China," Energy, Elsevier, vol. 135(C), pages 23-31.
  18. Wang, Juan & Hu, Mingming & Tukker, Arnold & Rodrigues, João F.D., 2019. "The impact of regional convergence in energy-intensive industries on China's CO2 emissions and emission goals," Energy Economics, Elsevier, vol. 80(C), pages 512-523.
  19. Xu, Lei & Chen, Nengcheng & Chen, Zeqiang, 2017. "Will China make a difference in its carbon intensity reduction targets by 2020 and 2030?," Applied Energy, Elsevier, vol. 203(C), pages 874-882.
  20. Cheng, Chuntian & Liu, Benxi & Chau, Kwok-Wing & Li, Gang & Liao, Shengli, 2015. "China׳s small hydropower and its dispatching management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 43-55.
  21. Wenting Zhao & Juanjuan Zhao & Xilong Yao & Zhixin Jin & Pan Wang, 2019. "A Novel Adaptive Intelligent Ensemble Model for Forecasting Primary Energy Demand," Energies, MDPI, vol. 12(7), pages 1-28, April.
  22. Weijun Wang & Weisong Peng & Jiaming Xu & Ran Zhang & Yaxuan Zhao, 2018. "Driving Factor Analysis and Forecasting of CO 2 Emissions from Power Output in China Using Scenario Analysis and CSCWOA-ELM Method," Energies, MDPI, vol. 11(10), pages 1-17, October.
  23. Bin Guo & Wencai Zhang & Lin Pei & Xiaowei Zhu & Pingping Luo & Weili Duan, 2022. "Remote Sensing Evidence for Significant Variations in the Global Gross Domestic Product during the COVID-19 Epidemic," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
  24. Yali Wang & Yangyang Liu & Zijun Wang & Yan Zhang & Bo Fang & Shengnan Jiang & Yijia Yang & Zhongming Wen & Wei Zhang & Zhixin Zhang & Ziqi Lin & Peidong Han & Wenjie Yang, 2023. "Assessing the Spatio-Temporal Dynamics of Land Use Carbon Emissions and Multiple Driving Factors in the Guanzhong Area of Shaanxi Province," Sustainability, MDPI, vol. 15(9), pages 1-23, May.
  25. Yuqi Dong & Xuejiao Ma & Chenchen Ma & Jianzhou Wang, 2016. "Research and Application of a Hybrid Forecasting Model Based on Data Decomposition for Electrical Load Forecasting," Energies, MDPI, vol. 9(12), pages 1-30, December.
  26. Yong Jiang & Yalin Lei & Li Li & Jianping Ge, 2016. "Mechanism of Fiscal and Taxation Policies in the Geothermal Industry in China," Energies, MDPI, vol. 9(9), pages 1-20, September.
  27. Tang, Bao-Jun & Li, Ru & Li, Xiao-Yi & Chen, Hao, 2017. "An optimal production planning model of coal-fired power industry in China: Considering the process of closing down inefficient units and developing CCS technologies," Applied Energy, Elsevier, vol. 206(C), pages 519-530.
  28. Yi-Chung Hu & Peng Jiang & Jung-Fa Tsai & Ching-Ying Yu, 2021. "An Optimized Fractional Grey Prediction Model for Carbon Dioxide Emissions Forecasting," IJERPH, MDPI, vol. 18(2), pages 1-12, January.
  29. Shi, Kaifang & Chen, Yun & Li, Linyi & Huang, Chang, 2018. "Spatiotemporal variations of urban CO2 emissions in China: A multiscale perspective," Applied Energy, Elsevier, vol. 211(C), pages 218-229.
  30. Shengli Liao & Zhifu Li & Gang Li & Jiayang Wang & Xinyu Wu, 2015. "Modeling and Optimization of the Medium-Term Units Commitment of Thermal Power," Energies, MDPI, vol. 8(11), pages 1-17, November.
  31. Jun Hao & Xiaolei Sun & Qianqian Feng, 2020. "A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm," Energies, MDPI, vol. 13(3), pages 1-25, January.
  32. Haiqian Ke & Bo Yang & Shangze Dai, 2022. "Does Intensive Land Use Contribute to Energy Efficiency?—Evidence Based on a Spatial Durbin Model," IJERPH, MDPI, vol. 19(9), pages 1-17, April.
  33. Guo, Xiaopeng & Guo, Xiaodan, 2016. "Nuclear power development in China after the restart of new nuclear construction and approval: A system dynamics analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 999-1007.
  34. Zhu, Bangzhu & Wang, Kefan & Chevallier, Julien & Wang, Ping & Wei, Yi-Ming, 2015. "Can China achieve its carbon intensity target by 2020 while sustaining economic growth?," Ecological Economics, Elsevier, vol. 119(C), pages 209-216.
  35. Mingquan Wang & Lingyun Zhang & Xin Su & Yang Lei & Qun Shen & Wei Wei & Maohua Wang, 2019. "Assessing the technology impact for industry carbon density reduction in China based on C3IAM-Tice," 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. 99(3), pages 1455-1468, December.
  36. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
  37. Yan Li & Yigang Wei & Zhang Dong, 2020. "Will China Achieve Its Ambitious Goal?—Forecasting the CO 2 Emission Intensity of China towards 2030," Energies, MDPI, vol. 13(11), pages 1-23, June.
  38. Zhang, Bo & Yang, T.R. & Chen, B. & Sun, X.D., 2016. "China’s regional CH4 emissions: Characteristics, interregional transfer and mitigation policies," Applied Energy, Elsevier, vol. 184(C), pages 1184-1195.
  39. Syeda Tayyaba Ijaz & Sumayya Chughtai, 2022. "The Impact of Financial, Economic and Environmental Factors on Energy Efficiency, Intensity, and Dependence: The Moderating Role of Governance and Institutional Quality," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 15-31, July.
  40. Niu, Shuwen & Liu, Yiyue & Ding, Yongxia & Qu, Wei, 2016. "China׳s energy systems transformation and emissions peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 782-795.
  41. Qian, Wuyong & Wang, Jue, 2020. "An improved seasonal GM(1,1) model based on the HP filter for forecasting wind power generation in China," Energy, Elsevier, vol. 209(C).
  42. Mu, Yaqian & Wang, Can & Cai, Wenjia, 2018. "The economic impact of China's INDC: Distinguishing the roles of the renewable energy quota and the carbon market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2955-2966.
  43. Aysha Malik & Ejaz Hussain & Sofia Baig & Muhammad Fahim Khokhar, 2020. "Forecasting CO2 emissions from energy consumption in Pakistan under different scenarios: The China–Pakistan Economic Corridor," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(2), pages 380-389, April.
  44. Ma, Xuejiao & Jiang, Ping & Jiang, Qichuan, 2020. "Research and application of association rule algorithm and an optimized grey model in carbon emissions forecasting," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
  45. Guo, Zheng & Cheng, Rui & Xu, Zhaofeng & Liu, Pei & Wang, Zhe & Li, Zheng & Jones, Ian & Sun, Yong, 2017. "A multi-region load dispatch model for the long-term optimum planning of China’s electricity sector," Applied Energy, Elsevier, vol. 185(P1), pages 556-572.
  46. Cheng, Rui & Xu, Zhaofeng & Liu, Pei & Wang, Zhe & Li, Zheng & Jones, Ian, 2015. "A multi-region optimization planning model for China’s power sector," Applied Energy, Elsevier, vol. 137(C), pages 413-426.
  47. Wang, Zhaohua & Huang, Wanjing & Chen, Zhongfei, 2019. "The peak of CO2 emissions in China: A new approach using survival models," Energy Economics, Elsevier, vol. 81(C), pages 1099-1108.
  48. Wang, Zhaoxia & Zhu, Han & Ding, Yan & Zhu, Tianli & Zhu, Neng & Tian, Zhe, 2018. "Energy efficiency evaluation of key energy consumption sectors in China based on a macro-evaluating system," Energy, Elsevier, vol. 153(C), pages 65-79.
  49. Chuyu Xia & Yan Li & Yanmei Ye & Zhou Shi & Jingming Liu, 2017. "Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province," Energies, MDPI, vol. 10(11), pages 1-16, October.
  50. Tao Li & Yunfen Guo & Liqi Yi & Tian Gao, 2022. "Environmental Performance Evaluation of New Type Thermal Power Enterprises Considering Carbon Peak and Neutrality," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
  51. Rui Dai & Jianxiong Zhang & Guowei Liu, 2020. "Carbon Tariff vs. Emission Cap of North–South Countries in Response to Manufacturer’s Production," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
  52. Liu, Dunnan & Liu, Mingguang & Xu, Erfeng & Pang, Bo & Guo, Xiaodan & Xiao, Bowen & Niu, Dongxiao, 2018. "Comprehensive effectiveness assessment of renewable energy generation policy: A partial equilibrium analysis in China," Energy Policy, Elsevier, vol. 115(C), pages 330-341.
  53. Ying Wang & Peipei Shang & Lichun He & Yingchun Zhang & Dandan Liu, 2018. "Can China Achieve the 2020 and 2030 Carbon Intensity Targets through Energy Structure Adjustment?," Energies, MDPI, vol. 11(10), pages 1-32, October.
  54. Yujing Liu & Dongxiao Niu, 2021. "Coupling and Coordination Analysis of Thermal Power Carbon Emission Efficiency under the Background of Clean Energy Substitution," Sustainability, MDPI, vol. 13(23), pages 1-17, November.
  55. Weibo Zhao & Dongxiao Niu, 2017. "Prediction of CO 2 Emission in China’s Power Generation Industry with Gauss Optimized Cuckoo Search Algorithm and Wavelet Neural Network Based on STIRPAT model with Ridge Regression," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
  56. Haiyan Shan & Junliang Yang & Guo Wei, 2019. "Industrial Symbiosis Systems: Promoting Carbon Emission Reduction Activities," IJERPH, MDPI, vol. 16(7), pages 1-23, March.
  57. Liu, Liwei & Sun, Xiaoru & Chen, Chuxiang & Zhao, Erdong, 2016. "How will auctioning impact on the carbon emission abatement cost of electric power generation sector in China?," Applied Energy, Elsevier, vol. 168(C), pages 594-609.
  58. Wei Wang & Hualin Xie & Tong Jiang & Daobei Zhang & Xue Xie, 2016. "Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index," Sustainability, MDPI, vol. 8(4), pages 1-19, April.
  59. Guo, Xiaodan & Guo, Xiaopeng, 2015. "China's photovoltaic power development under policy incentives: A system dynamics analysis," Energy, Elsevier, vol. 93(P1), pages 589-598.
  60. Hui‐Cheng Yu & Bor‐Yuan Tsai, 2018. "Environmental policy and sustainable development: An empirical study on carbon reduction among Chinese enterprises," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 25(5), pages 1019-1026, September.
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