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Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions

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  1. Lee, Hwarang & Kang, Sung Won & Koo, Yoonmo, 2020. "A hybrid energy system model to evaluate the impact of climate policy on the manufacturing sector: Adoption of energy-efficient technologies and rebound effects," Energy, Elsevier, vol. 212(C).
  2. Seyed Azad Nabavi & Alireza Aslani & Martha A. Zaidan & Majid Zandi & Sahar Mohammadi & Naser Hossein Motlagh, 2020. "Machine Learning Modeling for Energy Consumption of Residential and Commercial Sectors," Energies, MDPI, vol. 13(19), pages 1-22, October.
  3. Xiaohui Wu & Lei Chen & Jiani Zhao & Meiling He & Xun Han, 2024. "CNN-GRU-Attention Neural Networks for Carbon Emission Prediction of Transportation in Jiangsu Province," Sustainability, MDPI, vol. 16(19), pages 1-20, October.
  4. Woo, C.K. & Shiu, A. & Liu, Y. & Luo, X. & Zarnikau, J., 2018. "Consumption effects of an electricity decarbonization policy: Hong Kong," Energy, Elsevier, vol. 144(C), pages 887-902.
  5. Kun He & Li Wang & Hongliang Zhu & Yulong Ding, 2018. "Energy-Saving Potential of China’s Steel Industry According to Its Development Plan," Energies, MDPI, vol. 11(4), pages 1-16, April.
  6. Jin, Gui & Shi, Xin & Zhang, Lei & Hu, Shougeng, 2020. "Measuring the SCCs of different Chinese regions under future scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
  7. Yu, Jian & Cai, Xuanye & Ji, Xinliang & Liang, Longyue & Yang, Jizhao, 2025. "Promoting urban energy transitions: Lessons from interpretable machine learning with evidence from China," Energy, Elsevier, vol. 334(C).
  8. 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.
  9. Soummane, Salaheddine & Ghersi, Frédéric & Lefèvre, Julien, 2019. "Macroeconomic pathways of the Saudi economy: The challenge of global mitigation action versus the opportunity of national energy reforms," Energy Policy, Elsevier, vol. 130(C), pages 263-282.
  10. Boyi Li & Richao Cong & Toru Matsumoto & Yajuan Li, 2025. "Research on Different Energy Transition Pathway Analysis and Low-Carbon Electricity Development: A Case Study of an Energy System in Inner Mongolia," Energies, MDPI, vol. 18(12), pages 1-25, June.
  11. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
  12. Sonja Arnold-Keifer & Simon Hirzel & Clemens Rohde, 2024. "Understanding Energy Demand of the Tertiary Sector by Energy Carriers and End-Uses: An Integrated Bottom-Up and Top-Down Model Taking Germany as the Example," Energies, MDPI, vol. 17(17), pages 1-25, September.
  13. repec:aen:journl:ej38-si1-pierru is not listed on IDEAS
  14. Timilsina, Govind R. & Pang, Jun & Xi, Yang, 2021. "Enhancing the quality of climate policy analysis in China: Linking bottom-up and top-down models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
  15. Fengying Yan & Ningyu Huang & Yehui Zhang, 2022. "How Can the Layout of Public Service Facilities Be Optimized to Reduce Travel-Related Carbon Emissions? Evidence from Changxing County, China," Land, MDPI, vol. 11(8), pages 1-24, July.
  16. Silva, Felipe L.C. & Souza, Reinaldo C. & Cyrino Oliveira, Fernando L. & Lourenco, Plutarcho M. & Calili, Rodrigo F., 2018. "A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil," Energy, Elsevier, vol. 144(C), pages 1107-1118.
  17. Bhowmik, Chiranjib & Bhowmik, Sumit & Ray, Amitava & Pandey, Krishna Murari, 2017. "Optimal green energy planning for sustainable development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 796-813.
  18. Fujii, Hidemichi & Cao, Jing & Managi, Shunsuke, 2016. "Firm-level environmentally sensitive productivity and innovation in China," Applied Energy, Elsevier, vol. 184(C), pages 915-925.
  19. Chaisri Tarasawatpipat & Witthaya Mekhum, 2020. "Nexus between Fuel Prices and Energy Consumption in ASEAN Region: Role of Coal, Gas and Oil Prices," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 553-558.
  20. Jigu Seo & Junhong Park & Yunjung Oh & Sungwook Park, 2016. "Estimation of Total Transport CO 2 Emissions Generated by Medium- and Heavy-Duty Vehicles (MHDVs) in a Sector of Korea," Energies, MDPI, vol. 9(8), pages 1-13, August.
  21. Nishiura, Osamu & Krey, Volker & Fricko, Oliver & van Ruijven, Bas & Fujimori, Shinichiro, 2024. "Integration of energy system and computable general equilibrium models: An approach complementing energy and economic representations for mitigation analysis," Energy, Elsevier, vol. 296(C).
  22. Ur Rehman, Ata & Zhao, Tianyu & Shah, Muhammad Zahir & Khan, Yaqoob & Hayat, Asif & Dang, Changwei & Zheng, Maosheng & Yun, Sining, 2023. "Nanoengineering of MgSO4 nanohybrid on MXene substrate for efficient thermochemical heat storage material," Applied Energy, Elsevier, vol. 332(C).
  23. Bertrand Rioux & Philipp Galkin & Frederic Murphy & Axel Pierru, 2017. "How do Price Caps in China’s Electricity Sector Impact the Economics of Coal, Power and Wind? Potential Gains from Reforms," The Energy Journal, , vol. 38(1_suppl), pages 63-76, June.
  24. Andersen, Kristoffer S. & Termansen, Lars B. & Gargiulo, Maurizio & Ó Gallachóirc, Brian P., 2019. "Bridging the gap using energy services: Demonstrating a novel framework for soft linking top-down and bottom-up models," Energy, Elsevier, vol. 169(C), pages 277-293.
  25. Alabi, Oluwafisayo & Turner, Karen & Katris, Antonios & Calvillo, Christian, 2022. "Can network spending to support the shift to electric vehicles deliver wider economy gains? The role of domestic supply chain, price, and real wage effects," Energy Economics, Elsevier, vol. 110(C).
  26. Jing Li & Kevin Lo & Pingyu Zhang & Meng Guo, 2016. "Consumer Travel Behaviors and Transport Carbon Emissions: A Comparative Study of Commercial Centers in Shenyang, China," Energies, MDPI, vol. 9(10), pages 1-13, September.
  27. Olegs Krasnopjorovs & Daniels Jukna & Konstantins Kovalovs, 2022. "On the Use of General Equilibrium Model to Assess the Impact of Climate Policy in Latvia," Post-Print hal-03861139, HAL.
  28. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Research on the peak of CO2 emissions in the developing world: Current progress and future prospect," Applied Energy, Elsevier, vol. 235(C), pages 186-203.
  29. Fattahi, A. & Sijm, J. & Faaij, A., 2020. "A systemic approach to analyze integrated energy system modeling tools: A review of national models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
  30. Mehigan, L. & Deane, J.P. & Gallachóir, B.P.Ó. & Bertsch, V., 2018. "A review of the role of distributed generation (DG) in future electricity systems," Energy, Elsevier, vol. 163(C), pages 822-836.
  31. Guo, Xuepeng & Pang, Jun, 2023. "Analysis of provincial CO2 emission peaking in China: Insights from production and consumption," Applied Energy, Elsevier, vol. 331(C).
  32. Woo, C.K. & Chen, Y. & Olson, A. & Moore, J. & Schlag, N. & Ong, A. & Ho, T., 2017. "Electricity price behavior and carbon trading: New evidence from California," Applied Energy, Elsevier, vol. 204(C), pages 531-543.
  33. Wu, Zemin & Wu, Qiuwei & Yu, Xianyu & Wang, Qunwei & Tan, Jin, 2024. "Exploring phase-out path of China's coal power plants with its dynamic impact on electricity balance," Energy Policy, Elsevier, vol. 187(C).
  34. Gi-Young Chae & Seung-Hyun An & Chul-Yong Lee, 2021. "Demand Forecasting for Liquified Natural Gas Bunkering by Country and Region Using Meta-Analysis and Artificial Intelligence," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
  35. Li, Francis G.N. & Bataille, Chris & Pye, Steve & O'Sullivan, Aidan, 2019. "Prospects for energy economy modelling with big data: Hype, eliminating blind spots, or revolutionising the state of the art?," Applied Energy, Elsevier, vol. 239(C), pages 991-1002.
  36. Timilsina, Govinda R. & Pang, Jun & Yang, Xi, 2021. "Macroeconomic impacts of power sector reforms in China," Energy Policy, Elsevier, vol. 157(C).
  37. Wu, Yi-Hua & Liu, Chia-Hao & Hung, Ming-Lung & Liu, Tzu-Yar & Masui, Toshihiko, 2019. "Sectoral energy efficiency improvements in Taiwan: Evaluations using a hybrid of top-down and bottom-up models," Energy Policy, Elsevier, vol. 132(C), pages 1241-1255.
  38. Yongna Yuan & Guiyu Li & Hongbo Duan, 2023. "The Achievement of Multiple Nationally Determined Contribution Goals and Regional Economic Development in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 1155-1177, April.
  39. Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting new and renewable energy supply through a bottom-up approach: The case of South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 207-217.
  40. Yang, Xi & Pang, Jun & Teng, Fei & Gong, Ruixin & Springer, Cecilia, 2021. "The environmental co-benefit and economic impact of China's low-carbon pathways: Evidence from linking bottom-up and top-down models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
  41. Zhou, Ya & Shan, Yuli & Liu, Guosheng & Guan, Dabo, 2018. "Emissions and low-carbon development in Guangdong-Hong Kong-Macao Greater Bay Area cities and their surroundings," Applied Energy, Elsevier, vol. 228(C), pages 1683-1692.
  42. Cao, Jing & Dai, Hancheng & Li, Shantong & Guo, Chaoyi & Ho, Mun & Cai, Wenjia & He, Jianwu & Huang, Hai & Li, Jifeng & Liu, Yu & Qian, Haoqi & Wang, Can & Wu, Libo & Zhang, Xiliang, 2021. "The general equilibrium impacts of carbon tax policy in China: A multi-model comparison," Energy Economics, Elsevier, vol. 99(C).
  43. Chen, Han & Yang, Lei & Chen, Wenying, 2020. "Modelling national, provincial and city-level low-carbon energy transformation pathways," Energy Policy, Elsevier, vol. 137(C).
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