Biying Yu

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

   Cited by:

   1. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Wang, Jin-Wei, 2021. "Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
   2. Guo, Jian & Zhong, Minghao & Chen, Shuran, 2022. "Analysis and simulation of BECCS vertical integration model in China based on evolutionary game and system dynamics," Energy, Elsevier, vol. 252(C).
   3. Wang, Xiaoli & Daim, Tugrul & Huang, Lucheng & Li, Zhiqiang & Shaikh, Ruqia & Kassi, Diby Francois, 2022. "Monitoring the development trend and competition status of high technologies using patent analysis and bibliographic coupling: The case of electronic design automation technology," Technology in Society, Elsevier, vol. 71(C).
   4. Zhao, Tian & Liu, Zhixin, 2019. "A novel analysis of carbon capture and storage (CCS) technology adoption: An evolutionary game model between stakeholders," Energy, Elsevier, vol. 189(C).

Articles

1. Yu, Biying & Sun, Feihu & Chen, Chen & Fu, Guanpeng & Hu, Lin, 2022. "Power demand response in the context of smart home application," Energy, Elsevier, vol. 240(C).

   Cited by:

   1. Haider, Haider Tarish & Muhsen, Dhiaa Halboot & Al-Nidawi, Yaarob Mahjoob & Khatib, Tamer & See, Ong Hang, 2022. "A novel approach for multi-objective cost-peak optimization for demand response of a residential area in smart grids," Energy, Elsevier, vol. 254(PB).
   2. Sridhar, Araavind & Honkapuro, Samuli & Ruiz, Fredy & Stoklasa, Jan & Annala, Salla & Wolff, Annika & Rautiainen, Antti, 2023. "Residential consumer preferences to demand response: Analysis of different motivators to enroll in direct load control demand response," Energy Policy, Elsevier, vol. 173(C).
   3. Cai, Qiran & Xu, Qingyang & Qing, Jing & Shi, Gang & Liang, Qiao-Mei, 2022. "Promoting wind and photovoltaics renewable energy integration through demand response: Dynamic pricing mechanism design and economic analysis for smart residential communities," Energy, Elsevier, vol. 261(PB).
   4. Ma, Nan & Waegel, Alex & Hakkarainen, Max & Braham, William W. & Glass, Lior & Aviv, Dorit, 2023. "Blockchain + IoT sensor network to measure, evaluate and incentivize personal environmental accounting and efficient energy use in indoor spaces," Applied Energy, Elsevier, vol. 332(C).
   5. Junpei Nan & Jieran Feng & Xu Deng & Chao Wang & Ke Sun & Hao Zhou, 2022. "Hierarchical Low-Carbon Economic Dispatch with Source-Load Bilateral Carbon-Trading Based on Aumann–Shapley Method," Energies, MDPI, vol. 15(15), pages 1-17, July.
   6. Shi, Renwei & Jiao, Zaibin, 2023. "Individual household demand response potential evaluation and identification based on machine learning algorithms," Energy, Elsevier, vol. 266(C).
   7. Zhou, Kaile & Peng, Ning & Yin, Hui & Hu, Rong, 2023. "Urban virtual power plant operation optimization with incentive-based demand response," Energy, Elsevier, vol. 282(C).
   8. Ruben Barreto & Calvin Gonçalves & Luis Gomes & Pedro Faria & Zita Vale, 2022. "Evaluation Metrics to Assess the Most Suitable Energy Community End-Users to Participate in Demand Response," Energies, MDPI, vol. 15(7), pages 1-18, March.
   9. Jieran Feng & Junpei Nan & Chao Wang & Ke Sun & Xu Deng & Hao Zhou, 2022. "Source-Load Coordinated Low-Carbon Economic Dispatch of Electric-Gas Integrated Energy System Based on Carbon Emission Flow Theory," Energies, MDPI, vol. 15(10), pages 1-24, May.
   10. Saberi-Beglar, Kasra & Zare, Kazem & Seyedi, Heresh & Marzband, Mousa & Nojavan, Sayyad, 2023. "Risk-embedded scheduling of a CCHP integrated with electric vehicle parking lot in a residential energy hub considering flexible thermal and electrical loads," Applied Energy, Elsevier, vol. 329(C).
   11. Jason Hung, 2022. "Smart Elderly Care Services in China: Challenges, Progress, and Policy Development," Sustainability, MDPI, vol. 15(1), pages 1-13, December.
   12. Liu, Youquan & Li, Huazhen & Zhu, Jiawei & Lin, Yishuai & Lei, Weidong, 2023. "Multi-objective optimal scheduling of household appliances for demand side management using a hybrid heuristic algorithm," Energy, Elsevier, vol. 262(PA).

2. Yu, Biying & Zhao, Zihao & Zhao, Guangpu & An, Runying & Sun, Feihu & Li, Ru & Peng, Xiaohan, 2021. "Provincial renewable energy dispatch optimization in line with Renewable Portfolio Standard policy in China," Renewable Energy, Elsevier, vol. 174(C), pages 236-252.

   Cited by:

   1. Zeng, Lijun & Wang, Jiafeng & Zhao, Laijun, 2022. "An inter-provincial tradable green certificate futures trading model under renewable portfolio standard policy," Energy, Elsevier, vol. 257(C).
   2. Indre Siksnelyte-Butkiene, 2021. "Impact of the COVID-19 Pandemic to the Sustainability of the Energy Sector," Sustainability, MDPI, vol. 13(23), pages 1-19, November.
   3. Wang, Yun & Xie, Haipeng & Sun, Xiaotian & Tang, Lingfeng & Bie, Zhaohong, 2022. "A cross-chain enabled day-ahead collaborative power-carbon-TGC market," Energy, Elsevier, vol. 258(C).
   4. Yuanyuan He & Luxin Wan & Manli Zhang & Huijuan Zhao, 2022. "Regional Renewable Energy Installation Optimization Strategies with Renewable Portfolio Standards in China," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
   5. Bangjun, Wang & Feng, Zhaolei & Feng, Ji & Yu, Pan & Cui, Linyu, 2022. "Decision making on investments in photovoltaic power generation projects based on renewable portfolio standard: Perspective of real option," Renewable Energy, Elsevier, vol. 189(C), pages 1033-1045.
   6. Fang, Yujuan & Wei, Wei & Mei, Shengwei, 2022. "How dynamic renewable portfolio standards impact the diffusion of renewable energy in China? A networked evolutionary game analysis," Renewable Energy, Elsevier, vol. 193(C), pages 778-788.
   7. Zeng, Lijun & Du, Wenjing & Zhao, Laijun & Zhan, Yanhong, 2023. "An inter-provincial transfer fee model under renewable portfolio standard policy," Energy, Elsevier, vol. 277(C).
   8. Wang, Yongpei & Yan, Qing & Luo, Yifei & Zhang, Qian, 2023. "Carbon abatement of electricity sector with renewable energy deployment: Evidence from China," Renewable Energy, Elsevier, vol. 210(C), pages 1-11.
   9. Zhang, Yusheng & Ma, Chao & Yang, Yang & Pang, Xiulan & Lian, Jijian & Wang, Xin, 2022. "Capacity configuration and economic evaluation of a power system integrating hydropower, solar, and wind," Energy, Elsevier, vol. 259(C).

3. Yu, Rujie & Ren, Huanhuan & Liu, Yong & Yu, Biying, 2021. "Gap between on-road and official fuel efficiency of passenger vehicles in China," Energy Policy, Elsevier, vol. 152(C).

   Cited by:

   1. Haoran Chen & Xuedong Yan & Xiaobing Liu & Tao Ma, 2023. "Exploring the operational performance discrepancies between online ridesplitting and carpooling transportation modes based on DiDi data," Transportation, Springer, vol. 50(5), pages 1923-1958, October.
   2. Fan, Pengfei & Yin, Hang & Lu, Hongyu & Wu, Yizheng & Zhai, Zhiqiang & Yu, Lei & Song, Guohua, 2023. "Which factor contributes more to the fuel consumption gap between in-laboratory vs. real-world driving conditions? An independent component analysis," Energy Policy, Elsevier, vol. 182(C).

4. Yu, Biying & Zhao, Zihao & Zhang, Shuai & An, Runying & Chen, Jingming & Li, Ru & Zhao, Guangpu, 2021. "Technological development pathway for a low-carbon primary aluminum industry in China," Technological Forecasting and Social Change, Elsevier, vol. 173(C).

   Cited by:

   1. Li, Shupeng & Wang, Zhe & Yue, Qiang & Zhang, Tingan, 2022. "Analysis of the quantity and spatial characterization of aluminum in-use stocks in China," Resources Policy, Elsevier, vol. 79(C).
   2. Hoffmann, Stefan & Lasarov, Wassili & Reimers, Hanna, 2022. "Carbon footprint tracking apps. What drives consumers' adoption intention?," Technology in Society, Elsevier, vol. 69(C).
   3. Biying Yu & Zihao Zhao & Yi-Ming Wei & Lan-Cui Liu & Qingyu Zhao & Shuo Xu & Jia-Ning Kang & Hua Liao, 2023. "Approaching national climate targets in China considering the challenge of regional inequality," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
   4. Wang, Xiaoyang & Yu, Biying & An, Runying & Sun, Feihu & Xu, Shuo, 2022. "An integrated analysis of China’s iron and steel industry towards carbon neutrality," Applied Energy, Elsevier, vol. 322(C).
   5. Song, Yi & Zhang, Zhouyi & Zhang, Yijun & Cheng, Jinhua, 2022. "Technological innovation and supply of critical metals: A perspective of industrial chains," Resources Policy, Elsevier, vol. 79(C).

5. Tang, Bao-Jun & Guo, Yang-Yang & Yu, Biying & Harvey, L.D. Danny, 2021. "Pathways for decarbonizing China’s building sector under global warming thresholds," Applied Energy, Elsevier, vol. 298(C).

   Cited by:

   1. Wu, Dongxu & Cui, Qi & Gao, Yuanzhi & Dai, Zhaofeng & Chen, Bo & Wang, Changling & Zhang, Xiaosong, 2022. "Study on the performance of solar interfacial evaporation for high-efficiency liquid desiccant regeneration," Energy, Elsevier, vol. 257(C).
   2. Xiang, Xiwang & Ma, Minda & Ma, Xin & Chen, Liming & Cai, Weiguang & Feng, Wei & Ma, Zhili, 2022. "Historical decarbonization of global commercial building operations in the 21st century," Applied Energy, Elsevier, vol. 322(C).
   3. Wang, Xiaoyang & Yu, Biying & An, Runying & Sun, Feihu & Xu, Shuo, 2022. "An integrated analysis of China’s iron and steel industry towards carbon neutrality," Applied Energy, Elsevier, vol. 322(C).
   4. Zou, Chenchen & Ma, Minda & Zhou, Nan & Feng, Wei & You, Kairui & Zhang, Shufan, 2023. "Toward carbon free by 2060: A decarbonization roadmap of operational residential buildings in China," Energy, Elsevier, vol. 277(C).
   5. Huo, Tengfei & Du, Qianxi & Xu, Linbo & Shi, Qingwei & Cong, Xiaobo & Cai, Weiguang, 2023. "Timetable and roadmap for achieving carbon peak and carbon neutrality of China's building sector," Energy, Elsevier, vol. 274(C).
   6. Huo, Tengfei & Xu, Linbo & Liu, Bingsheng & Cai, Weiguang & Feng, Wei, 2022. "China’s commercial building carbon emissions toward 2060: An integrated dynamic emission assessment model," Applied Energy, Elsevier, vol. 325(C).
   7. Weiwei Chen & Yibo Wang & Jia Zhang & Wei Dou & Yaxuan Jiao, 2022. "Planning and Energy–Economy–Environment–Security Evaluation Methods for Municipal Energy Systems in China under Targets of Peak Carbon Emissions and Carbon Neutrality," Energies, MDPI, vol. 15(19), pages 1-20, October.

6. Yi-Ming Wei & Jia-Ning Kang & Lan-Cui Liu & Qi Li & Peng-Tao Wang & Juan-Juan Hou & Qiao-Mei Liang & Hua Liao & Shi-Feng Huang & Biying Yu, 2021. "A proposed global layout of carbon capture and storage in line with a 2 °C climate target," Nature Climate Change, Nature, vol. 11(2), pages 112-118, February.

   Cited by:

   1. Changwan Gu & Jingjing Xie & Xiaoyu Li & Xu Gao, 2023. "Levelized Cost Analysis for Blast Furnace CO 2 Capture, Utilization, and Storage Retrofit in China’s Blast Furnace–Basic Oxygen Furnace Steel Plants," Energies, MDPI, vol. 16(23), pages 1-20, November.
   2. Ikonnikova, Svetlana A. & Scanlon, Bridget R. & Berdysheva, Sofia A., 2023. "A global energy system perspective on hydrogen Trade: A framework for the market color and the size analysis," Applied Energy, Elsevier, vol. 330(PA).
   3. Zhuyuan Wang & Ting Hu & Mike Tebyetekerwa & Xiangkang Zeng & Fan Du & Yuan Kang & Xuefeng Li & Hao Zhang & Huanting Wang & Xiwang Zhang, 2024. "Electricity generation from carbon dioxide adsorption by spatially nanoconfined ion separation," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
   4. Jing-Li Fan & Zezheng Li & Xi Huang & Kai Li & Xian Zhang & Xi Lu & Jianzhong Wu & Klaus Hubacek & Bo Shen, 2023. "A net-zero emissions strategy for China’s power sector using carbon-capture utilization and storage," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
   5. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Wang, Jin-Wei, 2021. "Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
   6. He, Jianjian & Yang, Yi & Liao, Zhongju & Xu, Anqi & Fang, Kai, 2022. "Linking SDG 7 to assess the renewable energy footprint of nations by 2030," Applied Energy, Elsevier, vol. 317(C).
   7. Xu, Liang & Li, Qi & Myers, Matthew & Cao, Xiaomin, 2023. "Investigation of the enhanced oil recovery mechanism of CO2 synergistically with nanofluid in tight glutenite," Energy, Elsevier, vol. 273(C).
   8. Jing, Jing & Yang, Yanlin & Cheng, Jianmei & Ding, Zhaojing & Wang, Dandan & Jing, Xianwen, 2023. "Analysis of the effect of formation dip angle and injection pressure on the injectivity and migration of CO2 during storage," Energy, Elsevier, vol. 280(C).
   9. Minwoo Hyun & Aleh Cherp & Jessica Jewell & Yeong Jae Kim & Jiyong Eom, 2021. "Feasibility trade-offs in decarbonisation of power sector with high coal dependence: A case of Korea," Papers 2111.02872, arXiv.org.
   10. Brenda H. M. Silveira & Hirdan K. M. Costa & Edmilson M. Santos, 2023. "Bioenergy with Carbon Capture and Storage (BECCS) in Brazil: A Review," Energies, MDPI, vol. 16(4), pages 1-18, February.
   11. Andrew K. Chu & Sally M. Benson & Gege Wen, 2022. "Deep-Learning-Based Flow Prediction for CO 2 Storage in Shale–Sandstone Formations," Energies, MDPI, vol. 16(1), pages 1-21, December.
   12. Muhammad Hammad Rasool & Maqsood Ahmad & Muhammad Ayoub, 2023. "Selecting Geological Formations for CO 2 Storage: A Comparative Rating System," Sustainability, MDPI, vol. 15(8), pages 1-39, April.
   13. Weidong Lei & Wenjing Zhang & Jiawei Zhu, 2024. "Optimal Design of Resilient Carbon Capture, Utilization and Storage (CCUS) Supply Chain Networks under Facility Disruption," Sustainability, MDPI, vol. 16(7), pages 1-19, March.
   14. Masood S. Alivand & Omid Mazaheri & Yue Wu & Ali Zavabeti & Andrew J. Christofferson & Nastaran Meftahi & Salvy P. Russo & Geoffrey W. Stevens & Colin A. Scholes & Kathryn A. Mumford, 2022. "Engineered assembly of water-dispersible nanocatalysts enables low-cost and green CO2 capture," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

7. Han, Myat Su & Biying, Yu & Cudjoe, Dan & Yuan, Qianqian, 2020. "Investigating willingness-to-pay to support solar energy research and development in Myanmar," Energy Policy, Elsevier, vol. 146(C).

   Cited by:

   1. Yu, Ying & Yamaguchi, Kensuke & Thuy, Truong Dang & Kittner, Noah, 2022. "Will the public in emerging economies support renewable energy? Evidence from Ho Chi Minh City, Vietnam," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
   2. Kyu-Won Hwang & Jaekyun Ahn & Chul-Yong Lee, 2023. "Analysis of Consumer Willingness to Pay for Community Solar Business Using Contingent Valuation Method," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
   3. Tan, Yang & Fukuda, Hiroatsu & Li, Zhang & Wang, Shuai & Gao, Weijun & Liu, Zhonghui, 2022. "Does the public support the construction of battery swapping station for battery electric vehicles? - Data from Hangzhou, China," Energy Policy, Elsevier, vol. 163(C).
   4. Shrestha, Anusha & Grala, Robert K. & Grado, Stephen C. & Roberts, Scott D. & Gordon, Jason S. & Adhikari, Ram K., 2021. "Nonindustrial private forest landowner willingness to pay for prescribed burning to lower wildfire hazards," Forest Policy and Economics, Elsevier, vol. 127(C).
   5. Masako Numata & Masahiro Sugiyama & Wunna Swe & Daniel del Barrio Alvarez, 2021. "Willingness to Pay for Renewable Energy in Myanmar: Energy Source Preference," Energies, MDPI, vol. 14(5), pages 1-17, March.
   6. Azlina, A. A. & Abu Bakar, Shahida & Kamaludin, Mahirah & Ghani, Awang Noor, 2022. "Willingness to Pay for Renewable Energy: Evidence From High Wind and Wave Energy Potential Areas," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 56(1), pages 59-70.

8. Yu, Biying & Yang, Xiaojuan & Zhao, Qingyu & Tan, Jinxiao, 2020. "Causal Effect of Time-Use Behavior on Residential Energy Consumption in China," Ecological Economics, Elsevier, vol. 175(C).

   Cited by:

   1. Zhu, Penghu & Lin, Boqiang, 2022. "Do the elderly consume more energy? Evidence from the retirement policy in urban China," Energy Policy, Elsevier, vol. 165(C).
   2. Qiucheng Li & Jiang Hu & Bolin Yu, 2021. "Spatiotemporal Patterns and Influencing Mechanism of Urban Residential Energy Consumption in China," Energies, MDPI, vol. 14(13), pages 1-17, June.
   3. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2021. "A D2C algorithm on the natural gas consumption and economic growth: Challenges faced by Germany and Japan," Energy, Elsevier, vol. 219(C).
   4. Zakia Batool & Sajjad Ali & Abdul Rehman, 2022. "Environmental Impact of ICT on Disaggregated Energy Consumption in China: A Threshold Regression Analysis," Sustainability, MDPI, vol. 14(23), pages 1-17, November.
   5. Yu, Biying & Sun, Feihu & Chen, Chen & Fu, Guanpeng & Hu, Lin, 2022. "Power demand response in the context of smart home application," Energy, Elsevier, vol. 240(C).
   6. Li, Jiapeng & Zuo, Xuguang & Sun, Chuanwang, 2023. "The effect of urban renewal on residential energy consumption expenditure--the example of shantytown renovation," Energy Policy, Elsevier, vol. 183(C).
   7. Zihan Zhang & Enping Li & Guowei Zhang, 2023. "How Efficient China’s Tiered Pricing Is for Household Electricity: Evidence from Survey Data," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
   8. Manfroni, Michele & Velasco-Fernández, Raúl & Pérez-Sánchez, Laura & Bukkens, Sandra G.F. & Giampietro, Mario, 2021. "The profile of time allocation in the metabolic pattern of society: An internal biophysical limit to economic growth," Ecological Economics, Elsevier, vol. 190(C).

9. Kun Zhang & Qiao-Mei Liang & Li-Jing Liu & Mei-Mei Xue & Bi-Ying Yu & Ce Wang & Rong Han & Yun-Fei Du & Yun-Fei Yao & Jun-Jie Chang & Jinxiao Tan & Hua Liao & Yi-Ming Wei, 2020. "Impacts Of Mechanisms To Promote Participation In Climate Mitigation: Border Carbon Adjustments Versus Uniform Tariff Measures," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 1-26, August.

   Cited by:

   1. Jiang, Hong-Dian & Purohit, Pallav & Liang, Qiao-Mei & Dong, Kangyin & Liu, Li-Jing, 2022. "The cost-benefit comparisons of China's and India's NDCs based on carbon marginal abatement cost curves," Energy Economics, Elsevier, vol. 109(C).
   2. Banerjee, Suvajit, 2021. "Conjugation of border and domestic carbon adjustment and implications under production and consumption-based accounting of India's National Emission Inventory: A recursive dynamic CGE analysis," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 68-86.

10. Yi-Ming Wei & Rong Han & Ce Wang & Biying Yu & Qiao-Mei Liang & Xiao-Chen Yuan & Junjie Chang & Qingyu Zhao & Hua Liao & Baojun Tang & Jinyue Yan & Lijing Cheng & Zili Yang, 2020. "Self-preservation strategy for approaching global warming targets in the post-Paris Agreement era," Nature Communications, Nature, vol. 11(1), pages 1-13, December.

    Cited by:

    1. 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).
    2. Chang, Jun-Jie & Mi, Zhifu & Wei, Yi-Ming, 2023. "Temperature and GDP: A review of climate econometrics analysis," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 383-392.
    3. Javed, Aamir & Rapposelli, Agnese & Khan, Feroz & Javed, Asif, 2023. "The impact of green technology innovation, environmental taxes, and renewable energy consumption on ecological footprint in Italy: Fresh evidence from novel dynamic ARDL simulations," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    4. Zhou, Yuzhou & Zhao, Jiexing & Zhai, Qiaozhu, 2021. "100% renewable energy: A multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power," Applied Energy, Elsevier, vol. 301(C).
    5. Chen, Xiaotong & Yang, Fang & Zhang, Shining & Zakeri, Behnam & Chen, Xing & Liu, Changyi & Hou, Fangxin, 2021. "Regional emission pathways, energy transition paths and cost analysis under various effort-sharing approaches for meeting Paris Agreement goals," Energy, Elsevier, vol. 232(C).
    6. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Wang, Jin-Wei, 2021. "Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    7. Denis Maragno & Carlo Federico dall’Omo & Gianfranco Pozzer & Niccolò Bassan & Francesco Musco, 2020. "Land–Sea Interaction: Integrating Climate Adaptation Planning and Maritime Spatial Planning in the North Adriatic Basin," Sustainability, MDPI, vol. 12(13), pages 1-29, July.
    8. Jiang, Hong-Dian & Purohit, Pallav & Liang, Qiao-Mei & Dong, Kangyin & Liu, Li-Jing, 2022. "The cost-benefit comparisons of China's and India's NDCs based on carbon marginal abatement cost curves," Energy Economics, Elsevier, vol. 109(C).
    9. Rising, James A. & Taylor, Charlotte & Ives, Matthew C. & Ward, Robert E.T., 2022. "Challenges and innovations in the economic evaluation of the risks of climate change," Ecological Economics, Elsevier, vol. 197(C).
    10. Li, Yan & Feng, Tian-tian & Liu, Li-li & Zhang, Meng-xi, 2023. "How do the electricity market and carbon market interact and achieve integrated development?--A bibliometric-based review," Energy, Elsevier, vol. 265(C).
    11. Khalil Ullah Mohammad & Mohsin Raza Khan, 2022. "Effectiveness Of Green Project Screening For Bank Lending: Evidence From Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 11(1), pages 93-103, March.
    12. Chen, Hao & Qi, Shaozhou & Zhang, Jihong, 2022. "Towards carbon neutrality with Chinese characteristics: From an integrated perspective of economic growth-equity-environment," Applied Energy, Elsevier, vol. 324(C).
    13. Sorin Cheval & Cristian Mihai Adamescu & Teodoro Georgiadis & Mathew Herrnegger & Adrian Piticar & David R. Legates, 2020. "Observed and Potential Impacts of the COVID-19 Pandemic on the Environment," IJERPH, MDPI, vol. 17(11), pages 1-25, June.
    14. Rising, James A. & Taylor, Charlotte & Ives, Matthew C. & Ward, Robert E.t., 2022. "Challenges and innovations in the economic evaluation of the risks of climate change," LSE Research Online Documents on Economics 114941, London School of Economics and Political Science, LSE Library.
    15. Masood S. Alivand & Omid Mazaheri & Yue Wu & Ali Zavabeti & Andrew J. Christofferson & Nastaran Meftahi & Salvy P. Russo & Geoffrey W. Stevens & Colin A. Scholes & Kathryn A. Mumford, 2022. "Engineered assembly of water-dispersible nanocatalysts enables low-cost and green CO2 capture," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

11. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).

    Cited by:

    1. João Andrade de Carvalho & André de Castro & Gutemberg Hespanha Brasil & Paulo Antonio de Souza & Andrés Z. Mendiburu, 2022. "CO 2 Emission Factors and Carbon Losses for Off-Road Mining Trucks," Energies, MDPI, vol. 15(7), pages 1-17, April.
    2. Sui, Yi & Zhang, Haoran & Shang, Wenlong & Sun, Rencheng & Wang, Changying & Ji, Jun & Song, Xuan & Shao, Fengjing, 2020. "Mining urban sustainable performance: Spatio-temporal emission potential changes of urban transit buses in post-COVID-19 future," Applied Energy, Elsevier, vol. 280(C).
    3. Yu, Biying & Zhao, Zihao & Zhang, Shuai & An, Runying & Chen, Jingming & Li, Ru & Zhao, Guangpu, 2021. "Technological development pathway for a low-carbon primary aluminum industry in China," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    4. Renjie Wang & Yuanyuan Song & Honglei Xu & Yue Li & Jie Liu, 2022. "Life Cycle Assessment of Energy Consumption and CO 2 Emission from HEV, PHEV and BEV for China in the Past, Present and Future," Energies, MDPI, vol. 15(18), pages 1-16, September.
    5. Jia, Ruining & Shao, Shuai & Yang, Lili, 2021. "High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach," Energy Economics, Elsevier, vol. 99(C).
    6. Cui, Yin & Li, Zhiyong & Sun, Yu & Sun, Weizheng, 2023. "Environmental performance of an urban passenger transport system and influencing factors: A case study of Tianjin, China," Utilities Policy, Elsevier, vol. 80(C).
    7. Zhao, Jinyang & Yu, Yadong & Ren, Hongtao & Makowski, Marek & Granat, Janusz & Nahorski, Zbigniew & Ma, Tieju, 2022. "How the power-to-liquid technology can contribute to reaching carbon neutrality of the China's transportation sector?," Energy, Elsevier, vol. 261(PA).
    8. Roberto Ivo da Rocha Lima Filho & Thereza Cristina Nogueira de Aquino & Adriano Marçal Nogueira Neto, 2021. "Fuel price control in Brazil: environmental impacts," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 9811-9826, July.
    9. Murat Peksen, 2021. "Hydrogen Technology towards the Solution of Environment-Friendly New Energy Vehicles," Energies, MDPI, vol. 14(16), pages 1-6, August.
    10. Wang, Xiaoyang & Yu, Biying & An, Runying & Sun, Feihu & Xu, Shuo, 2022. "An integrated analysis of China’s iron and steel industry towards carbon neutrality," Applied Energy, Elsevier, vol. 322(C).
    11. Na Zhang & Zijia Wang & Feng Chen & Jingni Song & Jianpo Wang & Yu Li, 2020. "Low-Carbon Impact of Urban Rail Transit Based on Passenger Demand Forecast in Baoji," Energies, MDPI, vol. 13(4), pages 1-18, February.
    12. Chi, Yuanying & Xu, Weiyue & Xiao, Meng & Wang, Zhengzao & Zhang, Xufeng & Chen, Yahui, 2023. "Fuel-cycle based environmental and economic assessment of hydrogen fuel cell vehicles in China," Energy, Elsevier, vol. 282(C).
    13. Xianchun Tan & Tangqi Tu & Baihe Gu & Yuan Zeng & Tianhang Huang & Qianqian Zhang, 2021. "Assessing CO 2 Emissions from Passenger Transport with the Mixed-Use Development Model in Shenzhen International Low-Carbon City," Land, MDPI, vol. 10(2), pages 1-19, February.
    14. Maksymilian Mądziel & Tiziana Campisi, 2023. "Investigation of Vehicular Pollutant Emissions at 4-Arm Intersections for the Improvement of Integrated Actions in the Sustainable Urban Mobility Plans (SUMPs)," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
    15. Xianen Wang & Baoyang Qin & Hanning Wang & Xize Dong & Haiyan Duan, 2022. "Carbon Mitigation Pathways of Urban Transportation under Cold Climatic Conditions," IJERPH, MDPI, vol. 19(8), pages 1-16, April.
    16. Karol Tucki, 2021. "A Computer Tool for Modelling CO 2 Emissions in Driving Cycles for Spark Ignition Engines Powered by Biofuels," Energies, MDPI, vol. 14(5), pages 1-33, March.
    17. Meina Zheng & Xiucheng Guo & Feng Liu & Jiayan Shen, 2021. "Contribution of Subway Expansions to Air Quality Improvement and the Corresponding Health Implications in Nanjing, China," IJERPH, MDPI, vol. 18(3), pages 1-19, January.
    18. Xinru Han & Yongfu Chen & Xiudong Wang, 2022. "Impacts of China’s bioethanol policy on the global maize market: a partial equilibrium analysis to 2030," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(1), pages 147-163, February.
    19. Qin-Lei Jing & Han-Zhen Liu & Wei-Qing Yu & Xu He, 2022. "The Impact of Public Transportation on Carbon Emissions—From the Perspective of Energy Consumption," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    20. Yanming Sun & Shixian Liu & Lei Li, 2022. "Grey Correlation Analysis of Transportation Carbon Emissions under the Background of Carbon Peak and Carbon Neutrality," Energies, MDPI, vol. 15(9), pages 1-24, April.
    21. Yao, Zhihong & Wang, Yi & Liu, Bo & Zhao, Bin & Jiang, Yangsheng, 2021. "Fuel consumption and transportation emissions evaluation of mixed traffic flow with connected automated vehicles and human-driven vehicles on expressway," Energy, Elsevier, vol. 230(C).
    22. Bu, Chujie & Cui, Xueqin & Li, Ruiyao & Li, Jin & Zhang, Yaxin & Wang, Can & Cai, Wenjia, 2021. "Achieving net-zero emissions in China’s passenger transport sector through regionally tailored mitigation strategies," Applied Energy, Elsevier, vol. 284(C).
    23. Li, Bo & Ma, Ziming & Hidalgo-Gonzalez, Patricia & Lathem, Alex & Fedorova, Natalie & He, Gang & Zhong, Haiwang & Chen, Minyou & Kammen, Daniel M., 2021. "Modeling the impact of EVs in the Chinese power system: Pathways for implementing emissions reduction commitments in the power and transportation sectors," Energy Policy, Elsevier, vol. 149(C).
    24. Guoli Xu & Cora Un In Wong & Xintong Xu, 2023. "A Comprehensive Evaluation and Empirical Research on Dual Carbon Emission Reduction under Digital Empowerment," Sustainability, MDPI, vol. 15(8), pages 1-17, April.

12. Yi-Ming Wei & Biying Yu, 2019. "Editorial for the special issue: integrated assessment model analysis of climate change 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. 99(3), pages 1195-1196, December.

    Cited by:

    1. Jing Ma & Qin Ju & Yiheng Du & Yanli Liu & Guoqing Wang & Huanan Zeng & Zhenchun Hao, 2022. "Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence," 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. 114(1), pages 971-987, October.

13. Biying Yu & Guangpu Zhao & Runying An, 2019. "Framing the picture of energy consumption 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. 99(3), pages 1469-1490, December.

    Cited by:

    1. Wen, Le & Guang, Fengtao & Sharp, Basil, 2021. "Dynamics in Aotearoa New Zealand’s energy consumption between 2006/2007 and 2012/2013," Energy, Elsevier, vol. 225(C).
    2. Yu, Biying & Zhao, Zihao & Zhang, Shuai & An, Runying & Chen, Jingming & Li, Ru & Zhao, Guangpu, 2021. "Technological development pathway for a low-carbon primary aluminum industry in China," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    3. Chun-Gang Xu & Min Wang & Gang Xu & Xiao-Sen Li & Wei Zhang & Jing Cai & Zhao-Yang Chen, 2021. "The Relationship between Thermal Characteristics and Microstructure/Composition of Carbon Dioxide Hydrate in the Presence of Cyclopentane," Energies, MDPI, vol. 14(4), pages 1-17, February.
    4. Van Loo, Ellen J. & Caputo, Vincenzina & Lusk, Jayson L., 2020. "Consumer preferences for farm-raised meat, lab-grown meat, and plant-based meat alternatives: Does information or brand matter?," Food Policy, Elsevier, vol. 95(C).
    5. Alameer, Zakaria & Fathalla, Ahmed & Li, Kenli & Ye, Haiwang & Jianhua, Zhang, 2020. "Multistep-ahead forecasting of coal prices using a hybrid deep learning model," Resources Policy, Elsevier, vol. 65(C).

14. Tang, Bao-Jun & Li, Xiao-Yi & Yu, Biying & Wei, Yi-Ming, 2019. "Sustainable development pathway for intercity passenger transport: A case study of China," Applied Energy, Elsevier, vol. 254(C).

    Cited by:

    1. Yanming Sun & Yile Yang & Shixian Liu & Qingli Li, 2023. "Research on Transportation Carbon Emission Peak Prediction and Judgment System in China," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
    2. Yu, Biying & Zhao, Zihao & Zhang, Shuai & An, Runying & Chen, Jingming & Li, Ru & Zhao, Guangpu, 2021. "Technological development pathway for a low-carbon primary aluminum industry in China," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    3. Wen, Yifan & Wu, Ruoxi & Zhou, Zihang & Zhang, Shaojun & Yang, Shengge & Wallington, Timothy J. & Shen, Wei & Tan, Qinwen & Deng, Ye & Wu, Ye, 2022. "A data-driven method of traffic emissions mapping with land use random forest models," Applied Energy, Elsevier, vol. 305(C).
    4. Jiewei Li & Ling Jin & Han Deng & Lin Yang, 2023. "Review on Decarbonizing the Transportation Sector in China: Overview, Analysis, and Perspectives," Papers 2310.00613, arXiv.org.
    5. Tao Li & Baoli Gong & Yong Peng & Jin Nie & Zheng Wang & Yiqi Chen & Guoquan Xie & Kui Wang & Honghao Zhang, 2023. "Analysis and Comparative Study of Signalized and Unsignalized Intersection Operations and Energy-Emission Characteristics Based on Real Vehicle Data," Energies, MDPI, vol. 16(17), pages 1-24, August.
    6. Biying Yu & Zihao Zhao & Yi-Ming Wei & Lan-Cui Liu & Qingyu Zhao & Shuo Xu & Jia-Ning Kang & Hua Liao, 2023. "Approaching national climate targets in China considering the challenge of regional inequality," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    7. Wang, Xiaoyang & Yu, Biying & An, Runying & Sun, Feihu & Xu, Shuo, 2022. "An integrated analysis of China’s iron and steel industry towards carbon neutrality," Applied Energy, Elsevier, vol. 322(C).
    8. Shuai Zhang & Xiaoman Zhao & Changwei Yuan & Xiu Wang, 2020. "Technological Bias and Its Influencing Factors in Sustainable Development of China’s Transportation," Sustainability, MDPI, vol. 12(14), pages 1-26, July.
    9. Skrúcaný Tomáš & Majerník Filip & Kendra Martin & Čechovič Tomáš & Pečman Jan, 2021. "Assessing the Energy Intensity and Greenhouse Gas Emissions of the Traffic Services in a Selected Region," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 12(1), pages 25-35, May.
    10. Yanming Sun & Shixian Liu & Lei Li, 2022. "Grey Correlation Analysis of Transportation Carbon Emissions under the Background of Carbon Peak and Carbon Neutrality," Energies, MDPI, vol. 15(9), pages 1-24, April.

15. Liang, Yuanyuan & Yu, Biying & Wang, Lu, 2019. "Costs and benefits of renewable energy development in China's power industry," Renewable Energy, Elsevier, vol. 131(C), pages 700-712.

    Cited by:

    1. Wang, Yongli & Gao, Mingchen & Wang, Jingyan & Wang, Shuo & Liu, Yang & Zhu, Jinrong & Tan, Zhongfu, 2021. "Measurement and key influencing factors of the economic benefits for China’s photovoltaic power generation: A LCOE-based hybrid model," Renewable Energy, Elsevier, vol. 169(C), pages 935-952.
    2. Guoping Ding & Jingqian Hua & Juntao Duan & Sixia Deng & Wenyu Zhang & Yifan Gong & Huaping Sun, 2022. "Research on the Strategy of Industrial Structure Optimization Driven by Green Credit Distribution," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    3. Liu, Junling & Yin, Mingjian & Xia-Hou, Qinrui & Wang, Ke & Zou, Ji, 2021. "Comparison of sectoral low-carbon transition pathways in China under the nationally determined contribution and 2 °C targets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    4. Li, Longxi & Cao, Xilin, 2022. "Comprehensive effectiveness assessment of energy storage incentive mechanisms for PV-ESS projects based on compound real options," Energy, Elsevier, vol. 239(PA).
    5. Hu, Xing & Guo, Yingying & Zheng, Yali & Liu, Lan-cui & Yu, Shiwei, 2022. "Which types of policies better promote the development of renewable energy? Evidence from China's provincial data," Renewable Energy, Elsevier, vol. 198(C), pages 1373-1382.
    6. Bai, Caiquan & Feng, Chen & Du, Kerui & Wang, Yuansheng & Gong, Yuan, 2020. "Understanding spatial-temporal evolution of renewable energy technology innovation in China: Evidence from convergence analysis," Energy Policy, Elsevier, vol. 143(C).
    7. Xie, Pinjie & Yang, Fan & Mu, Zhuowen & Gao, Shuangshuang, 2020. "Influencing factors of the decoupling relationship between CO2 emission and economic development in China’s power industry," Energy, Elsevier, vol. 209(C).
    8. Carlos Roberto de Sousa Costa & Paula Ferreira, 2023. "A Review on the Internalization of Externalities in Electricity Generation Expansion Planning," Energies, MDPI, vol. 16(4), pages 1-19, February.
    9. Xu, Weiwei & Zhou, Dan & Huang, Xiaoming & Lou, Boliang & Liu, Dong, 2020. "Optimal allocation of power supply systems in industrial parks considering multi-energy complementarity and demand response," Applied Energy, Elsevier, vol. 275(C).
    10. Ahmadpour, Ali & Mokaramian, Elham & Anderson, Simon, 2021. "The effects of the renewable energies penetration on the surplus welfare under energy policy," Renewable Energy, Elsevier, vol. 164(C), pages 1171-1182.
    11. Dincer, Hasan & Yuksel, Serhat, 2019. "Balanced scorecard-based analysis of investment decisions for the renewable energy alternatives: A comparative analysis based on the hybrid fuzzy decision-making approach," Energy, Elsevier, vol. 175(C), pages 1259-1270.
    12. Naqvi, Bushra & Mirza, Nawazish & Rizvi, Syed Kumail Abbas & Porada-Rochoń, Małgorzata & Itani, Rania, 2021. "Is there a green fund premium? Evidence from twenty seven emerging markets," Global Finance Journal, Elsevier, vol. 50(C).
    13. Ziyuan Tang & Hasan Dinçer, 2019. "Selecting the House-of-Quality-Based Energy Investment Policies for the Sustainable Emerging Economies," Sustainability, MDPI, vol. 11(13), pages 1-22, June.
    14. Chang, Kai & Wan, Qiong & Lou, Qichun & Chen, Yili & Wang, Weihong, 2020. "Green fiscal policy and firms’ investment efficiency: New insights into firm-level panel data from the renewable energy industry in China," Renewable Energy, Elsevier, vol. 151(C), pages 589-597.
    15. Wang, Kai-Hua & Su, Chi-Wei & Lobonţ, Oana-Ramona & Moldovan, Nicoleta-Claudia, 2020. "Chinese renewable energy industries’ boom and recession: Evidence from bubble detection procedure," Energy Policy, Elsevier, vol. 138(C).
    16. Paolo Sospiro & Leonardo Nibbi & Marco Ciro Liscio & Maurizio De Lucia, 2021. "Cost–Benefit Analysis of Pumped Hydroelectricity Storage Investment in China," Energies, MDPI, vol. 14(24), pages 1-20, December.

16. Ye Ma & Biying Yu & Meimei Xue, 2018. "Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China," Energies, MDPI, vol. 11(11), pages 1-21, November.

    Cited by:

    1. Soltani, Ali & Allan, Andrew & Khalaj, Fahimeh & Pojani, Dorina & Mehdizadeh, Milad, 2021. "Ridesharing in Adelaide: Segmentation of users," Journal of Transport Geography, Elsevier, vol. 92(C).
    2. Nguyen Hoang-Tung & Hoang Thuy Linh & Hoang Van Cuong & Phan Le Binh & Shinichi Takeda & Hironori Kato, 2022. "Ride-Hailing Service Adoption and Local Context in Motorcycle-Based Societies: Case Study in Hanoi, Vietnam," Sustainability, MDPI, vol. 14(2), pages 1-17, January.

17. An, Runying & Yu, Biying & Li, Ru & Wei, Yi-Ming, 2018. "Potential of energy savings and CO2 emission reduction in China’s iron and steel industry," Applied Energy, Elsevier, vol. 226(C), pages 862-880.

    Cited by:

    1. Elshkaki, Ayman, 2019. "Material-energy-water-carbon nexus in China’s electricity generation system up to 2050," Energy, Elsevier, vol. 189(C).
    2. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    3. Yang, Honghua & Ma, Linwei & Li, Zheng, 2023. "Tracing China's steel use from steel flows in the production system to steel footprints in the consumption system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 172(C).
    4. Yu, Biying & Zhao, Zihao & Zhang, Shuai & An, Runying & Chen, Jingming & Li, Ru & Zhao, Guangpu, 2021. "Technological development pathway for a low-carbon primary aluminum industry in China," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    5. Biying Yu & Guangpu Zhao & Runying An, 2019. "Framing the picture of energy consumption 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. 99(3), pages 1469-1490, December.
    6. Yue, Hui & Worrell, Ernst & Crijns-Graus, Wina, 2021. "Impacts of regional industrial electricity savings on the development of future coal capacity per electricity grid and related air pollution emissions – A case study for China," Applied Energy, Elsevier, vol. 282(PB).
    7. Jie, Dingfei & Xu, Xiangyang & Guo, Fei, 2021. "The future of coal supply in China based on non-fossil energy development and carbon price strategies," Energy, Elsevier, vol. 220(C).
    8. Doh Dinga, Christian & Wen, Zongguo, 2021. "Many-objective optimization of energy conservation and emission reduction in China’s cement industry," Applied Energy, Elsevier, vol. 304(C).
    9. Ren, Lei & Zhou, Sheng & Peng, Tianduo & Ou, Xunmin, 2021. "A review of CO2 emissions reduction technologies and low-carbon development in the iron and steel industry focusing on China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    10. Wu, Dongling & Zhou, Ping & Zhou, Chenn Q., 2019. "Evaluation of pulverized coal utilization in a blast furnace by numerical simulation and grey relational analysis," Applied Energy, Elsevier, vol. 250(C), pages 1686-1695.
    11. Zhang, Xuan-Kai & He, Ya-Ling & Li, Meng-Jie & Hu, Xin, 2022. "The study of heat-mass transfer characteristics and multi-objective optimization on electric arc furnace," Applied Energy, Elsevier, vol. 317(C).
    12. Yang Lipo & Liu Yunpeng & Hou Yingwu & Zhang Yongshun, 2022. "Cascade relationship between flow field characteristics and smoke emissions in the industrial reheating furnace [Analysis of slab heating characteristics in a reheating furnace, energy convers]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 308-320.
    13. Sun, Jingchao & Na, Hongming & Yan, Tianyi & Qiu, Ziyang & Yuan, Yuxing & He, Jianfei & Li, Yingnan & Wang, Yisong & Du, Tao, 2021. "A comprehensive assessment on material, exergy and emission networks for the integrated iron and steel industry," Energy, Elsevier, vol. 235(C).
    14. Wang, Huan & Chen, Wenying, 2019. "Modelling deep decarbonization of industrial energy consumption under 2-degree target: Comparing China, India and Western Europe," Applied Energy, Elsevier, vol. 238(C), pages 1563-1572.
    15. Jiao, Kexin & Feng, Guangxiang & Zhang, Jianliang & Wang, Cui & Zhang, Lei, 2023. "Effect of multi-component gases on the behavior and mechanism of carbon deposition in hydrogen-rich blast furnaces," Energy, Elsevier, vol. 263(PA).
    16. Lin, Boqiang & Xu, Mengmeng, 2019. "Good subsidies or bad subsidies? Evidence from low-carbon transition in China's metallurgical industry," Energy Economics, Elsevier, vol. 83(C), pages 52-60.
    17. Tingru Yang & Wenling Liu, 2019. "Health Effects of Energy Intensive Sectors and the Potential Health Co-Benefits of a Low Carbon Industrial Transition in China," IJERPH, MDPI, vol. 16(17), pages 1-18, August.
    18. Tang, Bao-Jun & Guo, Yang-Yang & Yu, Biying & Harvey, L.D. Danny, 2021. "Pathways for decarbonizing China’s building sector under global warming thresholds," Applied Energy, Elsevier, vol. 298(C).
    19. Gong, Xuzhong & Zhang, Tong & Zhang, Junqiang & Wang, Zhi & Liu, Junhao & Cao, Jianwei & Wang, Chuan, 2022. "Recycling and utilization of calcium carbide slag - current status and new opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    20. Vögele, Stefan & Grajewski, Matthias & Govorukha, Kristina & Rübbelke, Dirk, 2020. "Challenges for the European steel industry: Analysis, possible consequences and impacts on sustainable development," Applied Energy, Elsevier, vol. 264(C).
    21. Zhuo, Yuting & Shen, Yansong, 2020. "Three-dimensional transient modelling of coal and coke co-combustion in the dynamic raceway of ironmaking blast furnaces," Applied Energy, Elsevier, vol. 261(C).
    22. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for 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. 99(3), pages 1327-1343, December.
    23. Fan, Jing-Li & Da, Ya-Bin & Wan, Si-Lai & Zhang, Mian & Cao, Zhe & Wang, Yu & Zhang, Xian, 2019. "Determinants of carbon emissions in ‘Belt and Road initiative’ countries: A production technology perspective," Applied Energy, Elsevier, vol. 239(C), pages 268-279.
    24. Song, Weiming & Zhou, Jianan & Li, Yujie & Yang, Jian & Cheng, Rijin, 2021. "New technology for producing high-quality combustible gas by high-temperature reaction of dust-removal coke powder in mixed atmosphere," Energy, Elsevier, vol. 233(C).
    25. Wang, Xiaoyang & Yu, Biying & An, Runying & Sun, Feihu & Xu, Shuo, 2022. "An integrated analysis of China’s iron and steel industry towards carbon neutrality," Applied Energy, Elsevier, vol. 322(C).
    26. Fang Wan & Jizu Li & Yunfei Han & Xilong Yao, 2024. "Research of the Impact of Hydrogen Metallurgy Technology on the Reduction of the Chinese Steel Industry’s Carbon Dioxide Emissions," Sustainability, MDPI, vol. 16(5), pages 1-24, February.
    27. Sun, Jingchao & Na, Hongming & Yan, Tianyi & Che, Zichang & Qiu, Ziyang & Yuan, Yuxing & Li, Yingnan & Du, Tao & Song, Yanli & Fang, Xin, 2022. "Cost-benefit assessment of manufacturing system using comprehensive value flow analysis," Applied Energy, Elsevier, vol. 310(C).
    28. Gu, Wei & Wang, Chen & Dai, Shufen & Wei, Lirong & Chiang, I. Robert, 2021. "Optimal strategies for reverse logistics network construction: A multi-criteria decision method for Chinese iron and steel industry," Resources Policy, Elsevier, vol. 74(C).
    29. Wang, Qi & Wang, Enlu & An, Qi & Chionoso, Oguga Paul, 2023. "CFD study of bio-syngas and coal co-injection in a blast furnace with double lance," Energy, Elsevier, vol. 263(PD).
    30. Zhang, Chi & Su, Bin & Zhou, Kaile & Sun, Yuan, 2020. "A multi-dimensional analysis on microeconomic factors of China's industrial energy intensity (2000–2017)," Energy Policy, Elsevier, vol. 147(C).
    31. Yan Ma & Zhe Song & Shuangqi Li & Tangyang Jiang, 2020. "Dynamic evolution analysis of the factors driving the growth of energy-related CO2 emissions in China: An input-output analysis," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-19, December.
    32. Saeed Solaymani, 2020. "A CO2 emissions assessment of the green economy in Iran," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(2), pages 390-407, April.
    33. Wang, Yihan & Wen, Zongguo & Yao, Jianguo & Doh Dinga, Christian, 2020. "Multi-objective optimization of synergic energy conservation and CO2 emission reduction in China's iron and steel industry under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    34. Wu, Ya & Su, JingRong & Li, Ke & Sun, Chuanwang, 2019. "Comparative study on power efficiency of China's provincial steel industry and its influencing factors," Energy, Elsevier, vol. 175(C), pages 1009-1020.
    35. Skoczkowski, Tadeusz & Verdolini, Elena & Bielecki, Sławomir & Kochański, Max & Korczak, Katarzyna & Węglarz, Arkadiusz, 2020. "Technology innovation system analysis of decarbonisation options in the EU steel industry," Energy, Elsevier, vol. 212(C).
    36. Xu, Mengmeng & Lin, Boqiang, 2022. "Energy efficiency gains from distortion mitigation: A perspective on the metallurgical industry," Resources Policy, Elsevier, vol. 77(C).
    37. Ren, Ming & Lu, Pantao & Liu, Xiaorui & Hossain, M.S. & Fang, Yanru & Hanaoka, Tatsuya & O'Gallachoir, Brian & Glynn, James & Dai, Hancheng, 2021. "Decarbonizing China’s iron and steel industry from the supply and demand sides for carbon neutrality," Applied Energy, Elsevier, vol. 298(C).
    38. Tiejun Dai & Shuo Shan, 2020. "Path Analysis of Beijing’s Dematerialization Development Based on System Dynamics," Sustainability, MDPI, vol. 12(3), pages 1-23, January.
    39. Hongtao Ren & Wenji Zhou & Marek Makowski & Shaohui Zhang & Yadong Yu & Tieju Ma, 2023. "A multi-criteria decision support model for adopting energy efficiency technologies in the iron and steel industry," Annals of Operations Research, Springer, vol. 325(2), pages 1111-1132, June.
    40. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
    41. Sun, Wenqiang & Wang, Zihao & Wang, Qiang, 2020. "Hybrid event-, mechanism- and data-driven prediction of blast furnace gas generation," Energy, Elsevier, vol. 199(C).
    42. Tang, Bao-Jun & Li, Xiao-Yi & Yu, Biying & Wei, Yi-Ming, 2019. "Sustainable development pathway for intercity passenger transport: A case study of China," Applied Energy, Elsevier, vol. 254(C).
    43. Lin, Boqiang & Chen, Yu, 2020. "Will land transport infrastructure affect the energy and carbon dioxide emissions performance of China’s manufacturing industry?," Applied Energy, Elsevier, vol. 260(C).
    44. Shao, Tianming & Pan, Xunzhang & Li, Xiang & Zhou, Sheng & Zhang, Shu & Chen, Wenying, 2022. "China's industrial decarbonization in the context of carbon neutrality: A sub-sectoral analysis based on integrated modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    45. Ren, Lei & Zhou, Sheng & Ou, Xunmin, 2023. "The carbon reduction potential of hydrogen in the low carbon transition of the iron and steel industry: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    46. Shuntian Xu & Huaxuan Wang & Xin Tian & Tao Wang & Hiroki Tanikawa, 2022. "From efficiency to equity: Changing patterns of China's regional transportation systems from an in‐use steel stocks perspective," Journal of Industrial Ecology, Yale University, vol. 26(2), pages 548-561, April.
    47. Wang, Yihan & Chen, Chen & Tao, Yuan & Wen, Zongguo & Chen, Bin & Zhang, Hong, 2019. "A many-objective optimization of industrial environmental management using NSGA-III: A case of China’s iron and steel industry," Applied Energy, Elsevier, vol. 242(C), pages 46-56.
    48. Zhang, You & Yuan, Zengwei & Margni, Manuele & Bulle, Cécile & Hua, Hui & Jiang, Songyan & Liu, Xuewei, 2019. "Intensive carbon dioxide emission of coal chemical industry in China," Applied Energy, Elsevier, vol. 236(C), pages 540-550.
    49. Guoli Xu & Cora Un In Wong & Xintong Xu, 2023. "A Comprehensive Evaluation and Empirical Research on Dual Carbon Emission Reduction under Digital Empowerment," Sustainability, MDPI, vol. 15(8), pages 1-17, April.

18. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.

    Cited by:

    1. Shi, Changfeng & Zhi, Jiaqi & Yao, Xiao & Zhang, Hong & Yu, Yue & Zeng, Qingshun & Li, Luji & Zhang, Yuxi, 2023. "How can China achieve the 2030 carbon peak goal—a crossover analysis based on low-carbon economics and deep learning," Energy, Elsevier, vol. 269(C).
    2. Xiao, Jin & Li, Guohao & Xie, Ling & Wang, Shouyang & Yu, Lean, 2021. "Decarbonizing China's power sector by 2030 with consideration of technological progress and cross-regional power transmission," Energy Policy, Elsevier, vol. 150(C).
    3. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    4. Liu, Junling & Wang, Ke & Zou, Ji & Kong, Ying, 2019. "The implications of coal consumption in the power sector for China’s CO2 peaking target," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    5. Yongyou Nie & Yunhuan Gao & He He, 2022. "Modelling Structural Effect and Linkage on Carbon Emissions in China: An Environmentally Extended Semi-Closed Ghosh Input–Output Model," Energies, MDPI, vol. 15(17), pages 1-17, August.
    6. Yu, Biying & Zhao, Zihao & Zhang, Shuai & An, Runying & Chen, Jingming & Li, Ru & Zhao, Guangpu, 2021. "Technological development pathway for a low-carbon primary aluminum industry in China," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    7. Liangpeng Wu & Qingyuan Zhu, 2021. "Impacts of the carbon emission trading system on China’s carbon emission peak: a new data-driven approach," 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. 107(3), pages 2487-2515, July.
    8. Luo, Shihua & Hu, Weihao & Liu, Wen & Zhang, Zhenyuan & Bai, Chunguang & Huang, Qi & Chen, Zhe, 2022. "Study on the decarbonization in China's power sector under the background of carbon neutrality by 2060," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    9. Qi Chen & Yibo Yan & Xu Zhang & Jian Chen, 2022. "Impact of Subjective and Objective Factors on Subway Travel Behavior: Spatial Differentiation," IJERPH, MDPI, vol. 19(23), pages 1-17, November.
    10. Yuanying Chi & Wenbing Zhou & Songlin Tang & Yu Hu, 2022. "Driving Factors of CO 2 Emissions in China’s Power Industry: Relative Importance Analysis Based on Spatial Durbin Model," Energies, MDPI, vol. 15(7), pages 1-15, April.
    11. Wu, C.B. & Guan, P.B. & Zhong, L.N. & Lv, J. & Hu, X.F. & Huang, G.H. & Li, C.C., 2020. "An optimized low-carbon production planning model for power industry in coal-dependent regions - A case study of Shandong, China," Energy, Elsevier, vol. 192(C).
    12. Cui, Qi & He, Ling & Han, Guoyi & Chen, Hao & Cao, Juanjuan, 2020. "Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective," Applied Energy, Elsevier, vol. 267(C).
    13. Tingru Yang & Wenling Liu, 2019. "Health Effects of Energy Intensive Sectors and the Potential Health Co-Benefits of a Low Carbon Industrial Transition in China," IJERPH, MDPI, vol. 16(17), pages 1-18, August.
    14. Tang, Bao-Jun & Guo, Yang-Yang & Yu, Biying & Harvey, L.D. Danny, 2021. "Pathways for decarbonizing China’s building sector under global warming thresholds," Applied Energy, Elsevier, vol. 298(C).
    15. Zhang, Haonan & Zhang, Xingping & Yuan, Jiahai, 2020. "Transition of China's power sector consistent with Paris Agreement into 2050: Pathways and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    16. Xian’en Wang & Tingyu Hu & Junnian Song & Haiyan Duan, 2022. "Tracking Key Industrial Sectors for CO 2 Mitigation through the Driving Effects: An Attribution Analysis," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    17. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for 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. 99(3), pages 1327-1343, December.
    18. Zhang, Boling & Wang, Qian & Wang, Sixia & Tong, Ruipeng, 2023. "Coal power demand and paths to peak carbon emissions in China: A provincial scenario analysis oriented by CO2-related health co-benefits," Energy, Elsevier, vol. 282(C).
    19. Yu, Bolin & Fang, Debin & Xiao, Kun & Pan, Yuling, 2023. "Drivers of renewable energy penetration and its role in power sector's deep decarbonization towards carbon peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    20. Li, Dezhi & Huang, Guanying & Zhu, Shiyao & Chen, Long & Wang, Jiangbo, 2021. "How to peak carbon emissions of provincial construction industry? Scenario analysis of Jiangsu Province," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    21. Lyu, Yizheng & Gao, Hanbo & Yan, Kun & Liu, Yingjie & Tian, Jinping & Chen, Lyujun & Wan, Mei, 2022. "Carbon peaking strategies for industrial parks: Model development and applications in China," Applied Energy, Elsevier, vol. 322(C).
    22. Wang, Xiaoyang & Yu, Biying & An, Runying & Sun, Feihu & Xu, Shuo, 2022. "An integrated analysis of China’s iron and steel industry towards carbon neutrality," Applied Energy, Elsevier, vol. 322(C).
    23. Feng Wang & Changhai Gao & Wulin Zhang & Danwen Huang, 2021. "Industrial Structure Optimization and Low-Carbon Transformation of Chinese Industry Based on the Forcing Mechanism of CO 2 Emission Peak Target," Sustainability, MDPI, vol. 13(8), pages 1-26, April.
    24. Wang, Yihan & Wen, Zongguo & Cao, Xin & Dinga, Christian Doh, 2022. "Is information and communications technology effective for industrial energy conservation and emission reduction? Evidence from three energy-intensive industries in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    25. Zhang, Pengfei & Cai, Wenqiu & Yao, Mingtao & Wang, Zhiyou & Yang, Luzhen & Wei, Wendong, 2020. "Urban carbon emissions associated with electricity consumption in Beijing and the driving factors," Applied Energy, Elsevier, vol. 275(C).
    26. Qi Zhang & Ting Xiang & Wei Zhang & Heming Wang & Jing An & Xiuping Li & Bing Xue, 2022. "Co‐benefits analysis of industrial symbiosis in China's key industries: Case of steel, cement, and power industries," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1714-1727, October.
    27. Wang, Yongpei & Li, Jun, 2019. "Spatial spillover effect of non-fossil fuel power generation on carbon dioxide emissions across China's provinces," Renewable Energy, Elsevier, vol. 136(C), pages 317-330.
    28. Ru Li & Sigit Perdana & Marc Vielle, 2021. "Potential integration of Chinese and European emissions trading market: welfare distribution analysis," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(5), pages 1-28, June.
        • Li, Ru & Perdana, Sigit & Vielle, Marc, 2020. "Potential Integration of Chinese and European Emissions Trading Market: Welfare Distribution Analysis," Conference papers 333201, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    29. Huaibo Yang & Chao Shi & Jianbo Li & Tianran Liu & Youwei Li & Yao Wang & Yueying Yang, 2022. "Has the Inter-Regional Power Transmission Promoted Economic Development? A Quantitative Assessment in China," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
    30. Guangyue Xu & Juanjuan Li & Peter M. Schwarz & Hualiu Yang & Huiying Chang, 2022. "Rural financial development and achieving an agricultural carbon emissions peak: an empirical analysis of Henan Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12936-12962, November.
    31. Tang, Bao-Jun & Li, Xiao-Yi & Yu, Biying & Wei, Yi-Ming, 2019. "Sustainable development pathway for intercity passenger transport: A case study of China," Applied Energy, Elsevier, vol. 254(C).
    32. Nie, Liang & Zhang, ZhongXiang, 2023. "Is high-speed rail heading towards a low-carbon industry? Evidence from a quasi-natural experiment in China," Resource and Energy Economics, Elsevier, vol. 72(C).
    33. Wang, Yihan & Chen, Chen & Tao, Yuan & Wen, Zongguo & Chen, Bin & Zhang, Hong, 2019. "A many-objective optimization of industrial environmental management using NSGA-III: A case of China’s iron and steel industry," Applied Energy, Elsevier, vol. 242(C), pages 46-56.
    34. Wu, Rui & Geng, Yong & Cui, Xiaowei & Gao, Ziyan & Liu, Zhiqing, 2019. "Reasons for recent stagnancy of carbon emissions in China's industrial sectors," Energy, Elsevier, vol. 172(C), pages 457-466.
    35. Chen, Han & Chen, Wenying, 2019. "Potential impact of shifting coal to gas and electricity for building sectors in 28 major northern cities of China," Applied Energy, Elsevier, vol. 236(C), pages 1049-1061.
    36. Xu, Guangyue & Schwarz, Peter & Yang, Hualiu, 2019. "Determining China's CO2 emissions peak with a dynamic nonlinear artificial neural network approach and scenario analysis," Energy Policy, Elsevier, vol. 128(C), pages 752-762.
    37. Chen, Han & Yang, Lei & Chen, Wenying, 2020. "Modelling national, provincial and city-level low-carbon energy transformation pathways," Energy Policy, Elsevier, vol. 137(C).
    38. Wang, Yongpei & Yan, Weilong & Komonpipat, Supak, 2019. "How does the capacity utilization of thermal power generation affect pollutant emissions? Evidence from the panel data of China's provinces," Energy Policy, Elsevier, vol. 132(C), pages 440-451.

19. Zhang, Junjie & Yu, Biying & Wei, Yi-Ming, 2018. "Heterogeneous impacts of households on carbon dioxide emissions in Chinese provinces," Applied Energy, Elsevier, vol. 229(C), pages 236-252.

    Cited by:

    1. Yang, Di & Luan, Weixin & Qiao, Lu & Pratama, Mahardhika, 2020. "Modeling and spatio-temporal analysis of city-level carbon emissions based on nighttime light satellite imagery," Applied Energy, Elsevier, vol. 268(C).
    2. Yongyou Nie & Yunhuan Gao & He He, 2022. "Modelling Structural Effect and Linkage on Carbon Emissions in China: An Environmentally Extended Semi-Closed Ghosh Input–Output Model," Energies, MDPI, vol. 15(17), pages 1-17, August.
    3. Jinzhao Song & Qing Feng & Xiaoping Wang & Hanliang Fu & Wei Jiang & Baiyu Chen, 2018. "Spatial Association and Effect Evaluation of CO 2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis," Sustainability, MDPI, vol. 11(1), pages 1-19, December.
    4. Soltani, Mohammad & Rahmani, Omeid & Ghasimi, Dara S.M. & Ghaderpour, Yousef & Pour, Amin Beiranvand & Misnan, Siti Hajar & Ngah, Ibrahim, 2020. "Impact of household demographic characteristics on energy conservation and carbon dioxide emission: Case from Mahabad city, Iran," Energy, Elsevier, vol. 194(C).
    5. Jingjing Chen & Yangyang Lin & Xiaojun Wang & Bingjing Mao & Lihong Peng, 2022. "Direct and Indirect Carbon Emission from Household Consumption Based on LMDI and SDA Model: A Decomposition and Comparison Analysis," Energies, MDPI, vol. 15(14), pages 1-22, July.
    6. Chen, Peipei & Wu, Yi & Zhong, Honglin & Long, Yin & Meng, Jing, 2022. "Exploring household emission patterns and driving factors in Japan using machine learning methods," Applied Energy, Elsevier, vol. 307(C).
    7. Jingbo Fan & Aobo Ran & Xiaomeng Li, 2019. "A Study on the Factors Affecting China’s Direct Household Carbon Emission and Comparison of Regional Differences," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    8. Yuan, Rong & Wang, Juan, 2021. "Impacts of poverty alleviation on household GHG footprints in China," Energy Economics, Elsevier, vol. 103(C).
    9. Du, Huibin & Chen, Zhenni & Peng, Binbin & Southworth, Frank & Ma, Shoufeng & Wang, Yuan, 2019. "What drives CO2 emissions from the transport sector? A linkage analysis," Energy, Elsevier, vol. 175(C), pages 195-204.
    10. Lei, Mingyu & Ding, Qun & Cai, Wenjia & Wang, Can, 2022. "The exploration of joint carbon mitigation actions between demand- and supply-side for specific household consumption behaviors — A case study in China," Applied Energy, Elsevier, vol. 324(C).
    11. Zhang, Mingming & Liu, Jinghui & Liu, Liyun & Zhou, Dequn, 2023. "Inequality in urban household energy consumption for 30 Chinese provinces," Energy Policy, Elsevier, vol. 172(C).
    12. Huang, Rui & Tian, Lixin, 2021. "CO2 emissions inequality through the lens of developing countries," Applied Energy, Elsevier, vol. 281(C).
    13. Wang, Yizhong & Hang, Ye & Jeong, Sujong & Wang, Qunwei, 2023. "Intersectoral transfers and drivers of net CO2 emissions in China incorporating sources and sinks," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

20. Yi-Ming Wei & Rong Han & Qiao-Mei Liang & Bi-Ying Yu & Yun-Fei Yao & Mei-Mei Xue & Kun Zhang & Li-Jing Liu & Juan Peng & Pu Yang & Zhi-Fu Mi & Yun-Fei Du & Ce Wang & Jun-Jie Chang & Qian-Ru Yang & Zil, 2018. "An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C3IAM," 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. 92(2), pages 585-618, June.

    Cited by:

    1. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    2. 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).
    3. Changyi Liu & Xueli Shi & Guoquan Hu & Qiufeng Liu & Yunwei Dai & Wenyan Zhou & Chao Wei & Yunfei Cao, 2019. "A simple earth system model for C3IAM: based on BCC_CSM1.1 and CMIP5 simulations," 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 1311-1325, December.
    4. Min Zhang & Yan Qiu & Chunling Li & Tao Cui & Mingxing Yang & Jun Yan & Wu Yang, 2023. "A Habitable Earth and Carbon Neutrality: Mission and Challenges Facing Resources and the Environment in China—An Overview," IJERPH, MDPI, vol. 20(2), pages 1-35, January.
    5. Chang, Jun-Jie & Mi, Zhifu & Wei, Yi-Ming, 2023. "Temperature and GDP: A review of climate econometrics analysis," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 383-392.
    6. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-Cui & Han, Rong & Yu, Bi-Ying & Wang, Jin-Wei, 2020. "Energy systems for climate change mitigation: A systematic review," Applied Energy, Elsevier, vol. 263(C).
    7. Wu, Wei & Zhang, Tingting & Xie, Xiaomin & Huang, Zhen, 2021. "Regional low carbon development pathways for the Yangtze River Delta region in China," Energy Policy, Elsevier, vol. 151(C).
    8. Liu, Li-Jing & Creutzig, Felix & Yao, Yun-Fei & Wei, Yi-Ming & Liang, Qiao-Mei, 2020. "Environmental and economic impacts of trade barriers: The example of China–US trade friction," Resource and Energy Economics, Elsevier, vol. 59(C).
    9. Chen, Xiaotong & Yang, Fang & Zhang, Shining & Zakeri, Behnam & Chen, Xing & Liu, Changyi & Hou, Fangxin, 2021. "Regional emission pathways, energy transition paths and cost analysis under various effort-sharing approaches for meeting Paris Agreement goals," Energy, Elsevier, vol. 232(C).
    10. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Wang, Jin-Wei, 2021. "Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    11. Lili Sun & Huijuan Cui & Quansheng Ge, 2021. "Driving Factors and Future Prediction of Carbon Emissions in the ‘Belt and Road Initiative’ Countries," Energies, MDPI, vol. 14(17), pages 1-21, September.
    12. Tang, Bao-Jun & Guo, Yang-Yang & Yu, Biying & Harvey, L.D. Danny, 2021. "Pathways for decarbonizing China’s building sector under global warming thresholds," Applied Energy, Elsevier, vol. 298(C).
    13. Yiwei Lian & Yang Bai & Zhongde Huang & Maroof Ali & Jie Wang & Haoran Chen, 2024. "Spatio-Temporal Changes and Habitats of Rare and Endangered Species in Yunnan Province Based on MaxEnt Model," Land, MDPI, vol. 13(2), pages 1-19, February.
    14. Liu, Li-Jing & Yao, Yun-Fei & Liang, Qiao-Mei & Qian, Xiang-Yan & Xu, Chun-Lei & Wei, Si-Yi & Creutzig, Felix & Wei, Yi-Ming, 2021. "Combining economic recovery with climate change mitigation: A global evaluation of financial instruments," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 438-453.
    15. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for 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. 99(3), pages 1327-1343, December.
    16. Jiang, Hong-Dian & Purohit, Pallav & Liang, Qiao-Mei & Dong, Kangyin & Liu, Li-Jing, 2022. "The cost-benefit comparisons of China's and India's NDCs based on carbon marginal abatement cost curves," Energy Economics, Elsevier, vol. 109(C).
    17. Tang, Bao-Jun & Wang, Xiang-Yu & Wei, Yi-Ming, 2019. "Quantities versus prices for best social welfare in carbon reduction: A literature review," Applied Energy, Elsevier, vol. 233, pages 554-564.
    18. Wenwen Tang & Lihan Cui & Sheng Zheng & Wei Hu, 2022. "Multi-Scenario Simulation of Land Use Carbon Emissions from Energy Consumption in Shenzhen, China," Land, MDPI, vol. 11(10), pages 1-16, September.
    19. Jiang, Hong-Dian & Purohit, Pallav & Liang, Qiao-Mei & Liu, Li-Jing & Zhang, Yu-Fei, 2023. "Improving the regional deployment of carbon mitigation efforts by incorporating air-quality co-benefits: A multi-provincial analysis of China," Ecological Economics, Elsevier, vol. 204(PA).
    20. Cai, Liya & Luo, Ji & Wang, Minghui & Guo, Jianfeng & Duan, Jinglin & Li, Jingtao & Li, Shuo & Liu, Liting & Ren, Dangpei, 2023. "Pathways for municipalities to achieve carbon emission peak and carbon neutrality: A study based on the LEAP model," Energy, Elsevier, vol. 262(PB).
    21. Dan Wang & Juheng Yang, 2022. "Carbon Neutrality Strategies for Chinese International Oil Company Based on the Rapid Development of Global Carbon Market," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    22. Tang, Bao-Jun & Li, Xiao-Yi & Yu, Biying & Wei, Yi-Ming, 2019. "Sustainable development pathway for intercity passenger transport: A case study of China," Applied Energy, Elsevier, vol. 254(C).

21. Chen, Jing-Ming & Yu, Biying & Wei, Yi-Ming, 2018. "Energy technology roadmap for ethylene industry in China," Applied Energy, Elsevier, vol. 224(C), pages 160-174.

    Cited by:

    1. Wang, Ke & Wang, Yi-Wei & Wang, Quan-Jing, 2022. "Will monetary policy affect energy security? Evidence from Asian countries," Journal of Asian Economics, Elsevier, vol. 81(C).
    2. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    3. Yu, Biying & Zhao, Zihao & Zhang, Shuai & An, Runying & Chen, Jingming & Li, Ru & Zhao, Guangpu, 2021. "Technological development pathway for a low-carbon primary aluminum industry in China," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    4. Yang, Dan & Peng, Xin & Ye, Zhencheng & Lu, Yusheng & Zhong, Weimin, 2021. "Domain adaptation network with uncertainty modeling and its application to the online energy consumption prediction of ethylene distillation processes," Applied Energy, Elsevier, vol. 303(C).
    5. Biying Yu & Guangpu Zhao & Runying An, 2019. "Framing the picture of energy consumption 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. 99(3), pages 1469-1490, December.
    6. Park, Ki-Bum & Jeong, Yong-Seong & Kim, Joo-Sik, 2019. "Activator-assisted pyrolysis of polypropylene," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    7. Han, Yongming & Liu, Shuang & Cong, Di & Geng, Zhiqiang & Fan, Jinzhen & Gao, Jingyang & Pan, Tingrui, 2021. "Resource optimization model using novel extreme learning machine with t-distributed stochastic neighbor embedding: Application to complex industrial processes," Energy, Elsevier, vol. 225(C).
    8. Zhao, Zhitong & Chong, Katie & Jiang, Jingyang & Wilson, Karen & Zhang, Xiaochen & Wang, Feng, 2018. "Low-carbon roadmap of chemical production: A case study of ethylene in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 580-591.
    9. Wen, Wen & Feng, Cuiyang & Zhou, Hao & Zhang, Li & Wu, Xiaohui & Qi, Jianchuan & Yang, Xuechun & Liang, Yuhan, 2021. "Critical provincial transmission sectors for carbon dioxide emissions in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    10. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for 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. 99(3), pages 1327-1343, December.
    11. Biying Yu & Zihao Zhao & Yi-Ming Wei & Lan-Cui Liu & Qingyu Zhao & Shuo Xu & Jia-Ning Kang & Hua Liao, 2023. "Approaching national climate targets in China considering the challenge of regional inequality," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    12. Wang, Xiaoyang & Yu, Biying & An, Runying & Sun, Feihu & Xu, Shuo, 2022. "An integrated analysis of China’s iron and steel industry towards carbon neutrality," Applied Energy, Elsevier, vol. 322(C).
    13. Maaouane, Mohamed & Zouggar, Smail & Krajačić, Goran & Zahboune, Hassan, 2021. "Modelling industry energy demand using multiple linear regression analysis based on consumed quantity of goods," Energy, Elsevier, vol. 225(C).
    14. Geng, Zhiqiang & Zhang, Yanhui & Li, Chengfei & Han, Yongming & Cui, Yunfei & Yu, Bin, 2020. "Energy optimization and prediction modeling of petrochemical industries: An improved convolutional neural network based on cross-feature," Energy, Elsevier, vol. 194(C).
    15. Tang, Bao-Jun & Li, Xiao-Yi & Yu, Biying & Wei, Yi-Ming, 2019. "Sustainable development pathway for intercity passenger transport: A case study of China," Applied Energy, Elsevier, vol. 254(C).
    16. Wang, Yihan & Chen, Chen & Tao, Yuan & Wen, Zongguo & Chen, Bin & Zhang, Hong, 2019. "A many-objective optimization of industrial environmental management using NSGA-III: A case of China’s iron and steel industry," Applied Energy, Elsevier, vol. 242(C), pages 46-56.

22. Biying Yu & Yi-Ming Wei & Kei Gomi & Yuzuru Matsuoka, 2018. "Future scenarios for energy consumption and carbon emissions due to demographic transitions in Chinese households," Nature Energy, Nature, vol. 3(2), pages 109-118, February.

    Cited by:

    1. Zhu, Penghu & Lin, Boqiang, 2022. "Do the elderly consume more energy? Evidence from the retirement policy in urban China," Energy Policy, Elsevier, vol. 165(C).
    2. Lina Liu & Jiansheng Qu & Tek Narayan Maraseni & Yibo Niu & Jingjing Zeng & Lihua Zhang & Li Xu, 2020. "Household CO 2 Emissions: Current Status and Future Perspectives," IJERPH, MDPI, vol. 17(19), pages 1-19, September.
    3. Namahoro, J.P. & Wu, Q. & Su, H., 2023. "Wind energy, industrial-economic development and CO2 emissions nexus: Do droughts matter?," Energy, Elsevier, vol. 278(PA).
    4. Zhang, Xi & Geng, Yong & Shao, Shuai & Wilson, Jeffrey & Song, Xiaoqian & You, Wei, 2020. "China’s non-fossil energy development and its 2030 CO2 reduction targets: The role of urbanization," Applied Energy, Elsevier, vol. 261(C).
    5. Sol Kim & Sungwon Jung & Seung-Man Baek, 2019. "A Model for Predicting Energy Usage Pattern Types with Energy Consumption Information According to the Behaviors of Single-Person Households in South Korea," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
    6. Huo, Tengfei & Xu, Linbo & Feng, Wei & Cai, Weiguang & Liu, Bingsheng, 2021. "Dynamic scenario simulations of carbon emission peak in China's city-scale urban residential building sector through 2050," Energy Policy, Elsevier, vol. 159(C).
    7. Lei, Mingyu & Cai, Wenjia & Liu, Wenling & Wang, Can, 2022. "The heterogeneity in energy consumption patterns and home appliance purchasing preferences across urban households in China," Energy, Elsevier, vol. 253(C).
    8. Hongwu Zhang & Lequan Zhang & Keying Wang & Xunpeng Shi, 2019. "Unveiling Key Drivers of Indirect Carbon Emissions of Chinese Older Households," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    9. Yan, Ran & Ma, Minda & Zhou, Nan & Feng, Wei & Xiang, Xiwang & Mao, Chao, 2023. "Towards COP27: Decarbonization patterns of residential building in China and India," Applied Energy, Elsevier, vol. 352(C).
    10. Wu, Wenchao & Kanamori, Yuko & Zhang, Runsen & Zhou, Qian & Takahashi, Kiyoshi & Masui, Toshihiko, 2021. "Implications of declining household economies of scale on electricity consumption and sustainability in China," Ecological Economics, Elsevier, vol. 184(C).
    11. Su, Min & Wang, Qiang & Li, Rongrong & Wang, Lili, 2022. "Per capita renewable energy consumption in 116 countries: The effects of urbanization, industrialization, GDP, aging, and trade openness," Energy, Elsevier, vol. 254(PB).
    12. Yu, Biying & Yang, Xiaojuan & Zhao, Qingyu & Tan, Jinxiao, 2020. "Causal Effect of Time-Use Behavior on Residential Energy Consumption in China," Ecological Economics, Elsevier, vol. 175(C).
    13. Jingbo Fan & Aobo Ran & Xiaomeng Li, 2019. "A Study on the Factors Affecting China’s Direct Household Carbon Emission and Comparison of Regional Differences," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    14. Huo, Tengfei & Cong, Xiaobo & Cheng, Cong & Cai, Weiguang & Zuo, Jian, 2023. "What is the driving mechanism for the carbon emissions in the building sector? An integrated DEMATEL-ISM model," Energy, Elsevier, vol. 274(C).
    15. Junling Liu & Mingjian Yin & Ke Wang & Ji Zou & Ying Kong, 2020. "Long-term impacts of urbanization through population migration on China’s energy demand and CO2 emissions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(6), pages 1053-1071, August.
    16. Shi, Zhengyu & Wu, Libo & Zhou, Yang, 2023. "Predicting household energy consumption in an aging society," Applied Energy, Elsevier, vol. 352(C).
    17. Jafari, Mehdi & Botterud, Audun & Sakti, Apurba, 2022. "Decarbonizing power systems: A critical review of the role of energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    18. Tae Yong Jung & Yong-Gun Kim & Jongwoo Moon, 2021. "The Impact of Demographic Changes on CO 2 Emission Profiles: Cases of East Asian Countries," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    19. Wang, Bo & Yang, Zihan & Le Hoa Pham, Thi & Deng, Nana & Du, Heran, 2023. "Can social impacts promote residents’ pro-environmental intentions and behaviour: Evidence from large-scale demand response experiment in China," Applied Energy, Elsevier, vol. 340(C).
    20. Chen, Lei & Xu, Linyu & Velasco-Fernández, Raúl & Giampietro, Mario & Yang, Zhifeng, 2021. "Residential energy metabolic patterns in China: A study of the urbanization process," Energy, Elsevier, vol. 215(PA).
    21. Verma, Pramit & Kumari, Tanu & Raghubanshi, Akhilesh Singh, 2021. "Energy emissions, consumption and impact of urban households: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    22. Yu, Biying & Sun, Feihu & Chen, Chen & Fu, Guanpeng & Hu, Lin, 2022. "Power demand response in the context of smart home application," Energy, Elsevier, vol. 240(C).
    23. Li, Mingquan & Shan, Rui & Hernandez, Mauricio & Mallampalli, Varun & Patiño-Echeverri, Dalia, 2019. "Effects of population, urbanization, household size, and income on electric appliance adoption in the Chinese residential sector towards 2050," Applied Energy, Elsevier, vol. 236(C), pages 293-306.
    24. Fenghua Wen & Zhanlin Sun & Yu Luo, 2023. "Population Structure and Local Carbon Emission Reduction: Evidence from Guangdong, China," Sustainability, MDPI, vol. 15(5), pages 1-27, February.
    25. Zhang, Jing & Yan, Jie & Liu, Yongqian & Zhang, Haoran & Lv, Guoliang, 2020. "Daily electric vehicle charging load profiles considering demographics of vehicle users," Applied Energy, Elsevier, vol. 274(C).
    26. Shen, Yu & Sun, Wenkai, 2023. "The effect of low-carbon city pilot on energy consumption behavior: Evidence from China," Energy Economics, Elsevier, vol. 127(PA).

23. Yu, Biying & Zhang, Junyi & Li, Xia, 2017. "Dynamic life course analysis on residential location choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 281-292.

    Cited by:

    1. Xue, Fei & Yao, Enjian, 2022. "Impact analysis of residential relocation on ownership, usage, and carbon-dioxide emissions of private cars," Energy, Elsevier, vol. 252(C).
    2. Yusak O. Susilo & Chengxi Liu & Maria Börjesson, 2019. "The changes of activity-travel participation across gender, life-cycle, and generations in Sweden over 30 years," Transportation, Springer, vol. 46(3), pages 793-818, June.
    3. Guo, Jia & Feng, Tao & Timmermans, Harry J.P., 2019. "Time-varying dependencies among mobility decisions and key life course events: An application of dynamic Bayesian decision networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 82-92.
    4. Zong, Weiyan & Zhang, Junyi & Yang, Xiaoguang, 2023. "Building a life-course intertemporal discrete choice model to analyze migration biographies," Journal of choice modelling, Elsevier, vol. 47(C).
    5. Guan, Xiaodong & Wang, Donggen, 2020. "The multiplicity of self-selection: What do travel attitudes influence first, residential location or work place?," Journal of Transport Geography, Elsevier, vol. 87(C).
    6. Susilo, Yusak & Liu, Chengxi & Börjesson, Maria, 2018. "The changes of activity-travel participation across gender, life-cycle, and generations in Sweden over 30 years," Working papers in Transport Economics 2018:8, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    7. Müggenburg, Hannah, 2021. "Beyond the limits of memory? The reliability of retrospective data in travel research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 302-318.
    8. Sebastian Scheuer & Dagmar Haase & Annegret Haase & Nadja Kabisch & Manuel Wolff & Nina Schwarz & Katrin Großmann, 2020. "Combining tacit knowledge elicitation with the SilverKnETs tool and random forests – The example of residential housing choices in Leipzig," Environment and Planning B, , vol. 47(3), pages 400-416, March.
    9. Xue, Fei & Yao, Enjian & Jin, Fanglei, 2020. "Exploring residential relocation behavior for families with workers and students; a study from Beijing, China," Journal of Transport Geography, Elsevier, vol. 89(C).
    10. Zhenjun Zhu & Zhigang Li & Hongsheng Chen & Ye Liu & Jun Zeng, 2019. "Subjective well-being in China: how much does commuting matter?," Transportation, Springer, vol. 46(4), pages 1505-1524, August.

24. Yu, Biying & Ma, Ye & Xue, Meimei & Tang, Baojun & Wang, Bin & Yan, Jinyue & Wei, Yi-Ming, 2017. "Environmental benefits from ridesharing: A case of Beijing," Applied Energy, Elsevier, vol. 191(C), pages 141-152.

    Cited by:

    1. Bei Zhou & Xinfen Zhang & Shengrui Zhang & Zongzhi Li & Xin Liu, 2019. "Analysis of Factors Affecting Real-Time Ridesharing Vehicle Crash Severity," Sustainability, MDPI, vol. 11(12), pages 1-15, June.
    2. Qizhao Peng & Weiwei Wang & Xiaoyan Yang & Yi Wang & Jian Chen, 2023. "Research on Affective Interaction in Mini Public Transport Based on IPA-FMEA," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
    3. Zhang, Yongping & Mi, Zhifu, 2018. "Environmental benefits of bike sharing: A big data-based analysis," Applied Energy, Elsevier, vol. 220(C), pages 296-301.
    4. Yining Liu & Yanfeng Ouyang, 2022. "Planning ride-pooling services with detour restrictions for spatially heterogeneous demand: A multi-zone queuing network approach," Papers 2208.02219, arXiv.org, revised Jun 2023.
    5. Ting Lu & Yan Xu & Linfan Chen & Lili Lu & Rui Ren, 2022. "The Potential of Carbon Emissions Reductions of Public Bikes," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    6. Yuanyuan Zhang & Yuming Zhang, 2018. "Examining the Relationship between Household Vehicle Ownership and Ridesharing Behaviors in the United States," Sustainability, MDPI, vol. 10(8), pages 1-24, August.
    7. Cai, Hua & Wang, Xi & Adriaens, Peter & Xu, Ming, 2019. "Environmental benefits of taxi ride sharing in Beijing," Energy, Elsevier, vol. 174(C), pages 503-508.
    8. Yi, Wenjing & Yan, Jie, 2020. "Energy consumption and emission influences from shared mobility in China: A national level annual data analysis," Applied Energy, Elsevier, vol. 277(C).
    9. Shixiong Jiang & Wei Guan & Zhengbing He & Liu Yang, 2018. "Measuring Taxi Accessibility Using Grid-Based Method with Trajectory Data," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    10. Zhang, Haoran & Chen, Jinyu & Li, Wenjing & Song, Xuan & Shibasaki, Ryosuke, 2020. "Mobile phone GPS data in urban ride-sharing: An assessment method for emission reduction potential," Applied Energy, Elsevier, vol. 269(C).
    11. Liu, Yining & Ouyang, Yanfeng, 2023. "Planning ride-pooling services with detour restrictions for spatially heterogeneous demand: A multi-zone queuing network approach," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    12. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    13. Ye Ma & Biying Yu & Meimei Xue, 2018. "Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China," Energies, MDPI, vol. 11(11), pages 1-21, November.
    14. Eva Malichová & Ghadir Pourhashem & Tatiana Kováčiková & Martin Hudák, 2020. "Users’ Perception of Value of Travel Time and Value of Ridesharing Impacts on Europeans’ Ridesharing Participation Intention: A Case Study Based on MoTiV European-Wide Mobility and Behavioral Pattern ," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    15. Lei, Chao & Jiang, Zhoutong & Ouyang, Yanfeng, 2020. "Path-based dynamic pricing for vehicle allocation in ridesharing systems with fully compliant drivers," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 60-75.
    16. Wu, Tian & Shen, Qu & Xu, Ming & Peng, Tianduo & Ou, Xunmin, 2018. "Development and application of an energy use and CO2 emissions reduction evaluation model for China's online car hailing services," Energy, Elsevier, vol. 154(C), pages 298-307.
    17. Liu, Yixiao & Tian, Zihao & Pan, Baoran & Zhang, Wenbin & Liu, Yunqi & Tian, Lixin, 2022. "A hybrid big-data-based and tolerance-based method to estimate environmental benefits of electric bike sharing," Applied Energy, Elsevier, vol. 315(C).
    18. Xiaomei Li & Yiwen Zhang & Zijie Yang & Yijun Zhu & Cihang Li & Wenxiang Li, 2023. "Modeling Choice Behaviors for Ridesplitting under a Carbon Credit Scheme," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    19. Tu, Wei & Santi, Paolo & Zhao, Tianhong & He, Xiaoyi & Li, Qingquan & Dong, Lei & Wallington, Timothy J. & Ratti, Carlo, 2019. "Acceptability, energy consumption, and costs of electric vehicle for ride-hailing drivers in Beijing," Applied Energy, Elsevier, vol. 250(C), pages 147-160.
    20. Li, Yongjian & Feng, Lipan & Govindan, Kannan & Xu, Fangchao, 2019. "Effects of a secondary market on original equipment manufactures’ pricing, trade-in remanufacturing, and entry decisions," European Journal of Operational Research, Elsevier, vol. 279(3), pages 751-766.
    21. Yu, Guodong & Liu, Aijun & Zhang, Jianghua & Sun, Huiping, 2021. "Optimal operations planning of electric autonomous vehicles via asynchronous learning in ride-hailing systems," Omega, Elsevier, vol. 103(C).
    22. Sun, Lishan & Wang, Shunchao & Liu, Shuli & Yao, Liya & Luo, Wei & Shukla, Ashish, 2018. "A completive research on the feasibility and adaptation of shared transportation in mega-cities – A case study in Beijing," Applied Energy, Elsevier, vol. 230(C), pages 1014-1033.
    23. Wali, Behram & Santi, Paolo & Ratti, Carlo, 2023. "Are californians willing to use shared automated vehicles (SAV) & renounce existing vehicles? An empirical analysis of factors determining SAV use & household vehicle ownership," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    24. AlKheder, Sharaf, 2021. "Taxi Ride sharing in Kuwait: Econ-enviro study," Energy, Elsevier, vol. 225(C).
    25. de Oliveira Souza, Camilla & Vitorino Guimarães, Gabriella & da Cruz Saldanha, Luiz Emerson & Almeida Corrêa do Nascimento, Filipe & Floriano dos Santos, Tálita & Vieira da Silva, Marcelino Aurélio, 2021. "Analysis of job accessibility promoted by ride hailing services: A proposed method," Journal of Transport Geography, Elsevier, vol. 93(C).
    26. Mourad, Abood & Puchinger, Jakob & Chu, Chengbin, 2019. "A survey of models and algorithms for optimizing shared mobility," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 323-346.
    27. Yuanyuan Zhang & Yuming Zhang, 2018. "Exploring the Relationship between Ridesharing and Public Transit Use in the United States," IJERPH, MDPI, vol. 15(8), pages 1-23, August.
    28. Charles David A. Icasiano & Araz Taeihagh, 2021. "Governance of the Risks of Ridesharing in Southeast Asia: An In-Depth Analysis," Sustainability, MDPI, vol. 13(11), pages 1-32, June.
    29. Liu, Xiaobing & Yan, Xuedong & Liu, Feng & Wang, Rui & Leng, Yan, 2019. "A trip-specific model for fuel saving estimation and subsidy policy making of carpooling based on empirical data," Applied Energy, Elsevier, vol. 240(C), pages 295-311.
    30. Shen, Yu & Sun, Wenkai, 2023. "The effect of low-carbon city pilot on energy consumption behavior: Evidence from China," Energy Economics, Elsevier, vol. 127(PA).
    31. Zilong Zhao & Mengyuan Fang & Luliang Tang & Xue Yang & Zihan Kan & Qingquan Li, 2022. "The Impact of Community Shuttle Services on Traffic and Traffic-Related Air Pollution," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    32. Shang, Wen-Long & Chen, Jinyu & Bi, Huibo & Sui, Yi & Chen, Yanyan & Yu, Haitao, 2021. "Impacts of COVID-19 pandemic on user behaviors and environmental benefits of bike sharing: A big-data analysis," Applied Energy, Elsevier, vol. 285(C).
    33. Taiebat, Morteza & Stolper, Samuel & Xu, Ming, 2022. "Widespread range suitability and cost competitiveness of electric vehicles for ride-hailing drivers," Applied Energy, Elsevier, vol. 319(C).
    34. Daganzo, Carlos F. & Ouyang, Yanfeng, 2019. "A general model of demand-responsive transportation services: From taxi to ridesharing to dial-a-ride," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 213-224.

25. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2016. "Who rebounds in the private transport sector? A comparative analysis between Beijing and Tokyo," Environment and Planning B, , vol. 43(3), pages 561-579, May.

    Cited by:

    1. Alexandros Dimitropoulos & Walid Oueslati & Christina Sintek, 2016. "The Rebound Effect in Road Transport: A Meta-analysis of Empirical Studies," OECD Environment Working Papers 113, OECD Publishing.
       • Dimitropoulos, Alexandros & Oueslati, Walid & Sintek, Christina, 2018. "The rebound effect in road transport: A meta-analysis of empirical studies," Energy Economics, Elsevier, vol. 75(C), pages 163-179.

26. Yu, Biying & Tian, Yaming & Zhang, Junyi, 2015. "A dynamic active energy demand management system for evaluating the effect of policy scheme on household energy consumption behavior," Energy, Elsevier, vol. 91(C), pages 491-506.

    Cited by:

    1. Besagni, Giorgio & Premoli Vilà, Lidia & Borgarello, Marco & Trabucchi, Andrea & Merlo, Marco & Rodeschini, Jacopo & Finazzi, Francesco, 2021. "Electrification pathways of the Italian residential sector under socio-demographic constrains: Looking towards 2040," Energy, Elsevier, vol. 217(C).
    2. Pascal A. Schirmer & Iosif Mporas, 2019. "Statistical and Electrical Features Evaluation for Electrical Appliances Energy Disaggregation," Sustainability, MDPI, vol. 11(11), pages 1-14, June.
    3. Wang, Fei & Lu, Xiaoxing & Chang, Xiqiang & Cao, Xin & Yan, Siqing & Li, Kangping & Duić, Neven & Shafie-khah, Miadreza & Catalão, João P.S., 2022. "Household profile identification for behavioral demand response: A semi-supervised learning approach using smart meter data," Energy, Elsevier, vol. 238(PB).
    4. Mahfoud Drouaz & Bruno Colicchio & Ali Moukadem & Alain Dieterlen & Djafar Ould-Abdeslam, 2021. "New Time-Frequency Transient Features for Nonintrusive Load Monitoring," Energies, MDPI, vol. 14(5), pages 1-11, March.
    5. Memon, Abdul Jabbar & Shaikh, Muhammad Mujtaba, 2016. "Confidence bounds for energy conservation in electric motors: An economical solution using statistical techniques," Energy, Elsevier, vol. 109(C), pages 592-601.
    6. Meltem Ucal, 2017. "Energy-saving behavior of Turkish women: A consumer survey on the use of home appliances," Energy & Environment, , vol. 28(7), pages 775-807, November.
    7. Yu, Biying & Zhang, Junyi & Li, Xia, 2017. "Dynamic life course analysis on residential location choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 281-292.

27. Zhang, Junyi & Yu, Biying & Chikaraishi, Makoto, 2014. "Interdependences between household residential and car ownership behavior: a life history analysis," Journal of Transport Geography, Elsevier, vol. 34(C), pages 165-174.

    Cited by:

    1. Schoenduwe, Robert & Mueller, Michel G. & Peters, Anja & Lanzendorf, Martin, 2015. "Analysing mobility biographies with the life course calendar: a retrospective survey methodology for longitudinal data collection," Journal of Transport Geography, Elsevier, vol. 42(C), pages 98-109.
    2. Shen, Tonggaochuan & Cheng, Long & Yang, Yongjiang & Deng, Jialin & Jin, Tanhua & Cao, Mengqiu, 2023. "Do residents living in transit-oriented development station catchment areas travel more sustainably? The impacts of life events," LSE Research Online Documents on Economics 118813, London School of Economics and Political Science, LSE Library.
    3. Zhao, Pengjun & Zhang, Yixue, 2018. "Travel behaviour and life course: Examining changes in car use after residential relocation in Beijing," Journal of Transport Geography, Elsevier, vol. 73(C), pages 41-53.
    4. Van Acker, Veronique & Ho, Loan & Stevens, Larissa & Mulley, Corinne, 2020. "Quantifying the effects of childhood and previous residential experiences on the use of public transport," Journal of Transport Geography, Elsevier, vol. 86(C).
    5. Ali Ardeshiri & Akshay Vij, 2019. "A lifestyle-based model of household neighbourhood location and individual travel mode choice behaviours," Papers 1902.01986, arXiv.org, revised Nov 2019.
    6. Klinger, Thomas, 2017. "Moving from monomodality to multimodality? Changes in mode choice of new residents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 221-237.
    7. Philippe Gerber & Sébastien Lord & Kevin Manaugh & Veronique Van Acker & Samuel Carpentier-Postel, 2021. "Sustainability Issues of Micro and Macro-Scale Changes in Daily and Residential Mobility," Sustainability, MDPI, vol. 13(8), pages 1-6, April.
    8. Wang, Bobin & Shao, Chunfu & Ji, Xun, 2017. "Dynamic analysis of holiday travel behaviour with integrated multimodal travel information usage: A life-oriented approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 255-280.
    9. Mitra, Suman K. & Saphores, Jean-Daniel M., 2017. "Carless in California: Green choice or misery?," Journal of Transport Geography, Elsevier, vol. 65(C), pages 1-12.
    10. Yusak O. Susilo & Chengxi Liu & Maria Börjesson, 2019. "The changes of activity-travel participation across gender, life-cycle, and generations in Sweden over 30 years," Transportation, Springer, vol. 46(3), pages 793-818, June.
    11. Bhat, Chandra R. & Mondal, Aupal, 2022. "A New Flexible Generalized Heterogeneous Data Model (GHDM) with an Application to Examine the Effect of High Density Neighborhood Living on Bicycling Frequency," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 244-266.
    12. Gerber, Philippe & Ma, Tai-Yu & Klein, Olivier & Schiebel, Julien & Carpentier-Postel, Samuel, 2017. "Cross-border residential mobility, quality of life and modal shift: A Luxembourg case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 238-254.
    13. Delbosc, Alexa & Nakanishi, Hitomi, 2017. "A life course perspective on the travel of Australian millennials," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 319-336.
    14. Guo, Jia & Feng, Tao & Timmermans, Harry J.P., 2019. "Time-varying dependencies among mobility decisions and key life course events: An application of dynamic Bayesian decision networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 82-92.
    15. Gaofeng Gu & Tao Feng & Chixing Zhong & Xiaoxi Cai & Jiang Li, 2021. "The Effects of Life Course Events on Car Ownership and Sustainable Mobility Tools Adoption Decisions: Results of an Error Component Random Parameter Logit Model," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    16. Zong, Weiyan & Zhang, Junyi & Yang, Xiaoguang, 2023. "Building a life-course intertemporal discrete choice model to analyze migration biographies," Journal of choice modelling, Elsevier, vol. 47(C).
    17. Rounaq Basu & Joseph Ferreira, 2020. "A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles," Environment and Planning B, , vol. 47(8), pages 1397-1417, October.
    18. Doody, Brendan J., 2020. "Becoming ‘a Londoner’: Migrants’ experiences and habits of everyday (im)mobilities over the life course," Journal of Transport Geography, Elsevier, vol. 82(C).
    19. Guan, Xiaodong & Wang, Donggen, 2020. "The multiplicity of self-selection: What do travel attitudes influence first, residential location or work place?," Journal of Transport Geography, Elsevier, vol. 87(C).
    20. Dharmowijoyo, Dimas B.E. & Susilo, Yusak O. & Karlström, Anders, 2016. "Relationships among discretionary activity duration, its travel time spent and activity space indices in the Jakarta Metropolitan Area, Indonesia," Journal of Transport Geography, Elsevier, vol. 54(C), pages 148-160.
    21. Müggenburg, Hannah & Busch-Geertsema, Annika & Lanzendorf, Martin, 2015. "Mobility biographies: A review of achievements and challenges of the mobility biographies approach and a framework for further research," Journal of Transport Geography, Elsevier, vol. 46(C), pages 151-163.
    22. Marquet, Oriol & Miralles-Guasch, Carme, 2014. "Walking short distances. The socioeconomic drivers for the use of proximity in everyday mobility in Barcelona," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 210-222.
    23. Guo, Jia & Feng, Tao & Zhang, Junyi & Timmermans, Harry J.P., 2020. "Temporal interdependencies in mobility decisions over the life course: A household-level analysis using dynamic Bayesian networks," Journal of Transport Geography, Elsevier, vol. 82(C).
    24. Susilo, Yusak & Liu, Chengxi & Börjesson, Maria, 2018. "The changes of activity-travel participation across gender, life-cycle, and generations in Sweden over 30 years," Working papers in Transport Economics 2018:8, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    25. Gao, Jie & He, Sylvia Y. & Ettema, Dick & Helbich, Marco, 2023. "Travel behavior changes due to life events: Longitudinal evidence from Dutch couple households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    26. Müggenburg, Hannah, 2021. "Beyond the limits of memory? The reliability of retrospective data in travel research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 302-318.
    27. Emine Coruh & Faruk Urak & Abdulbaki Bilgic & Steven T. Yen, 2022. "The role of household demographic factors in shaping transportation spending in Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3485-3517, March.
    28. Xuemei Fu, 2021. "A novel perspective to enhance the role of TPB in predicting green travel: the moderation of affective-cognitive congruence of attitudes," Transportation, Springer, vol. 48(6), pages 3013-3035, December.
    29. Yu, Biying & Zhang, Junyi & Li, Xia, 2017. "Dynamic life course analysis on residential location choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 281-292.
    30. Beige, Sigrun & Axhausen, Kay W., 2017. "The dynamics of commuting over the life course: Swiss experiences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 179-194.
    31. Scheiner, Joachim, 2020. "Changes in travel mode use over the life course with partner interactions in couple households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 791-807.
    32. Lan Wu & Xiaorui Yuan & Chaoyin Yin & Ming Yang & Hongjian Ouyang, 2023. "Car Ownership Behavior Model Considering Nonlinear Impacts of Multi-Scale Built Environment Characteristics," Sustainability, MDPI, vol. 15(12), pages 1-14, June.
    33. Clark, Ben & Lyons, Glenn & Chatterjee, Kiron, 2016. "Understanding the process that gives rise to household car ownership level changes," Journal of Transport Geography, Elsevier, vol. 55(C), pages 110-120.
    34. Lisa Döring & Maarten Kroesen & Christian Holz-Rau, 2019. "The role of parents’ mobility behavior for dynamics in car availability and commute mode use," Transportation, Springer, vol. 46(3), pages 957-994, June.

28. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2013. "A Household Time-Use and Energy-Consumption Model with Multiple Behavioral Interactions and Zero Consumption," Environment and Planning B, , vol. 40(2), pages 330-349, April.

    Cited by:

    1. Scheiner, Joachim, 2020. "Changes in travel mode use over the life course with partner interactions in couple households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 791-807.

29. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2013. "Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing," Energy Policy, Elsevier, vol. 57(C), pages 441-453.

    Cited by:

    1. Freire-González, Jaume & Font Vivanco, David & Puig-Ventosa, Ignasi, 2017. "Economic structure and energy savings from energy efficiency in households," Ecological Economics, Elsevier, vol. 131(C), pages 12-20.
    2. Yan Lu & Xu Yang & Yixiang Ma & Lean Yu, 2022. "Rebound Effect of China’s Electric Power Demand in the Context of Technological Innovation," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    3. Bakry, Walid & Nghiem, Xuan-Hoa & Farouk, Sherine & Vo, Xuan Vinh, 2023. "Does it hurt or help? Revisiting the effects of ICT on economic growth and energy consumption: A nonlinear panel ARDL approach," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 597-617.
    4. Meangbua, Onicha & Dhakal, Shobhakar & Kuwornu, John K.M., 2019. "Factors influencing energy requirements and CO2 emissions of households in Thailand: A panel data analysis," Energy Policy, Elsevier, vol. 129(C), pages 521-531.
    5. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2016. "Who rebounds in the private transport sector? A comparative analysis between Beijing and Tokyo," Environment and Planning B, , vol. 43(3), pages 561-579, May.
    6. Galvin, Ray, 2015. "‘Constant’ rebound effects in domestic heating: Developing a cross-sectional method," Ecological Economics, Elsevier, vol. 110(C), pages 28-35.
    7. Ouyang, Xiaoling & Gao, Beiying & Du, Kerui & Du, Gang, 2018. "Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration," Energy, Elsevier, vol. 145(C), pages 408-416.
    8. Wang, Zhaohua & Han, Bai & Lu, Milin, 2016. "Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 852-861.
    9. Inoue, Nozomu & Matsumoto, Shigeru, 2019. "An examination of losses in energy savings after the Japanese Top Runner Program?," Energy Policy, Elsevier, vol. 124(C), pages 312-319.
    10. Adnane Kendel & Nathalie Lazaric, 2015. "The diffusion of smart meters in France: A discussion of the empirical evidence and the implications for smart cities," Post-Print halshs-01246427, HAL.
    11. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
    12. Oliveira, Mario Henrique da Fonseca & Rebelatto, Daisy Aparecida do Nascimento, 2015. "The evaluation of electric energy consumption in the Brazilian residential sector: A technological improvement proposal in order to increase its efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 836-844.
    13. Du, Qiang & Han, Xiao & Li, Yi & Li, Zhe & Xia, Bo & Guo, Xiqian, 2021. "The energy rebound effect of residential buildings: Evidence from urban and rural areas in China," Energy Policy, Elsevier, vol. 153(C).
    14. Xiaofeng Lv & Kun Lin & Lingshan Chen & Yongzhong Zhang, 2022. "Does Retirement Affect Household Energy Consumption Structure? Evidence from a Regression Discontinuity Design," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    15. Alessandro De Palma & Marco Faillo & Roberto Gabriele, 2023. "Decentralized Energy: How 100% Renewable Energy Regions Affect Households’ Saving Behavior," Discussion Papers of DIW Berlin 2055, DIW Berlin, German Institute for Economic Research.
    16. Freire-González, Jaume, 2017. "A new way to estimate the direct and indirect rebound effect and other rebound indicators," Energy, Elsevier, vol. 128(C), pages 394-402.
    17. Ye Ma & Biying Yu & Meimei Xue, 2018. "Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China," Energies, MDPI, vol. 11(11), pages 1-21, November.
    18. Shujie Zhao & Qingbin Song & Chao Wang, 2019. "Characterizing the Energy-Saving Behaviors, Attitudes and Awareness of University Students in Macau," Sustainability, MDPI, vol. 11(22), pages 1-11, November.
    19. Tharinya Supasa & Shu-San Hsiau & Shih-Mo Lin & Wongkot Wongsapai & Jiunn-Chi Wu, 2017. "Household Energy Consumption Behaviour for Different Demographic Regions in Thailand from 2000 to 2010," Sustainability, MDPI, vol. 9(12), pages 1-22, December.
    20. Merter AKINCI, Haktan SEVİNÇ, Ömer YILMAZ, 2018. "Jevons Paradoksu: Enerji Etkinliği ve Rebound Etkisi Üzerine Ekonometrik Bir Analiz," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 1.
    21. Gongyi Zhang & Chang Zhang & Hongguang Nie, 2021. "An Overview of China’s Energy Labeling Policy Portfolio: China’s Contribution to Addressing the Global Goal of Sustainable Development," SAGE Open, , vol. 11(1), pages 21582440209, January.
    22. Li, Ke & Jiang, Zhujun, 2016. "The impacts of removing energy subsidies on economy-wide rebound effects in China: An input-output analysis," Energy Policy, Elsevier, vol. 98(C), pages 62-72.
    23. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017. "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, vol. 61(C), pages 199-208.
    24. Wang, Xiaolei & Wen, Xiaohui & Xie, Chunping, 2018. "An evaluation of technical progress and energy rebound effects in China's iron & steel industry," Energy Policy, Elsevier, vol. 123(C), pages 259-265.
    25. Yu, Biying & Tian, Yaming & Zhang, Junyi, 2015. "A dynamic active energy demand management system for evaluating the effect of policy scheme on household energy consumption behavior," Energy, Elsevier, vol. 91(C), pages 491-506.
    26. Jin Zhang & Lianrui Ma & Jinkai Li, 2021. "Why Low-Carbon Publicity Effect Limits? The Role of Heterogeneous Intention in Reducing Household Energy Consumption," Energies, MDPI, vol. 14(22), pages 1-17, November.
    27. Yu, Biying & Ma, Ye & Xue, Meimei & Tang, Baojun & Wang, Bin & Yan, Jinyue & Wei, Yi-Ming, 2017. "Environmental benefits from ridesharing: A case of Beijing," Applied Energy, Elsevier, vol. 191(C), pages 141-152.
    28. Jong Hwan Suh, 2018. "Generating Future-Oriented Energy Policies and Technologies from the Multidisciplinary Group Discussions by Text-Mining-Based Identification of Topics and Experts," Sustainability, MDPI, vol. 10(10), pages 1-33, October.
    29. Li, Ke & Lin, Boqiang, 2015. "Heterogeneity in rebound effects: Estimated results and impact of China’s fossil-fuel subsidies," Applied Energy, Elsevier, vol. 149(C), pages 148-160.
    30. Galvin, Ray, 2015. "The ICT/electronics question: Structural change and the rebound effect," Ecological Economics, Elsevier, vol. 120(C), pages 23-31.
    31. Huang, Junbing & Chen, Xiang & Cai, Xiaochen & Zou, Hong, 2021. "Assessing the impact of energy-saving R&D on China’s energy consumption: Evidence from dynamic spatial panel model," Energy, Elsevier, vol. 218(C).
    32. Huang, Wen-Hsiu, 2015. "The determinants of household electricity consumption in Taiwan: Evidence from quantile regression," Energy, Elsevier, vol. 87(C), pages 120-133.
    33. Kong, Li & Mu, Xianzhong & Hu, Guangwen & Tu, Chuang, 2023. "Will energy efficiency improvements reduce energy consumption? Perspective of rebound effect and evidence from beijing," Energy, Elsevier, vol. 263(PA).
    34. Sun, Chuanwang & Chen, Zhilong & Guo, Zhiru & Wu, Huixin, 2022. "Energy rebound effect of various industries in China: Based on hybrid energy input-output model," Energy, Elsevier, vol. 261(PB).
    35. Csutora, Maria & Zsoka, Agnes & Harangozo, Gabor, 2021. "The Grounded Survey – An integrative mixed method for scrutinizing household energy behavior," Ecological Economics, Elsevier, vol. 182(C).
    36. Baležentis, Tomas & Butkus, Mindaugas & Štreimikienė, Dalia & Shen, Zhiyang, 2021. "Exploring the limits for increasing energy efficiency in the residential sector of the European Union: Insights from the rebound effect," Energy Policy, Elsevier, vol. 149(C).

30. Biying, Yu & Zhang, Junyi & Fujiwara, Akimasa, 2012. "Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects," Energy Policy, Elsevier, vol. 46(C), pages 319-334.

    Cited by:

    1. Chen, Qiu, 2021. "District or distributed space heating in rural residential sector? Empirical evidence from a discrete choice experiment in South China," Energy Policy, Elsevier, vol. 148(PA).
    2. Zhaohua Wang & Wei Liu & Jianhua Yin, 2015. "Driving forces of indirect carbon emissions from household consumption in China: an input–output decomposition analysis," 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. 75(2), pages 257-272, February.
    3. Enam, Annesha & Konduri, Karthik C. & Pinjari, Abdul R. & Eluru, Naveen, 2018. "An integrated choice and latent variable model for multiple discrete continuous choice kernels: Application exploring the association between day level moods and discretionary activity engagement choi," Journal of choice modelling, Elsevier, vol. 26(C), pages 80-100.
    4. Bindu Shrestha & Sudarshan R. Tiwari & Sushil B. Bajracharya & Martina M. Keitsch & Hom B. Rijal, 2021. "Review on the Importance of Gender Perspective in Household Energy-Saving Behavior and Energy Transition for Sustainability," Energies, MDPI, vol. 14(22), pages 1-18, November.
    5. Xiaofeng Lv & Kun Lin & Lingshan Chen & Yongzhong Zhang, 2022. "Does Retirement Affect Household Energy Consumption Structure? Evidence from a Regression Discontinuity Design," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    6. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2013. "A Household Time-Use and Energy-Consumption Model with Multiple Behavioral Interactions and Zero Consumption," Environment and Planning B, , vol. 40(2), pages 330-349, April.
    7. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
    8. Acharya, Bikram & Adhikari, Santosh, 2021. "Household energy consumption and adaptation behavior during crisis: Evidence from Indian economic blockade on Nepal," Energy Policy, Elsevier, vol. 148(PB).
    9. Zhang, Junyi, 2014. "Revisiting residential self-selection issues: A life-oriented approach," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 29-45.
    10. Faan Chen & Adriano Borges Costa, 2024. "Exploring the causal effects of the built environment on travel behavior: a unique randomized experiment in Shanghai," Transportation, Springer, vol. 51(1), pages 215-245, February.
    11. Sweeney, Jillian C. & Kresling, Johannes & Webb, Dave & Soutar, Geoffrey N. & Mazzarol, Tim, 2013. "Energy saving behaviours: Development of a practice-based model," Energy Policy, Elsevier, vol. 61(C), pages 371-381.
    12. Frontuto, Vito, 2019. "Forecasting household consumption of fuels: A multiple discrete-continuous approach," Applied Energy, Elsevier, vol. 240(C), pages 205-214.
    13. Yu, Biying & Tian, Yaming & Zhang, Junyi, 2015. "A dynamic active energy demand management system for evaluating the effect of policy scheme on household energy consumption behavior," Energy, Elsevier, vol. 91(C), pages 491-506.
    14. Tran, Minh Tu & Zhang, Junyi & Chikaraishi, Makoto & Fujiwara, Akimasa, 2016. "A joint analysis of residential location, work location and commuting mode choices in Hanoi, Vietnam," Journal of Transport Geography, Elsevier, vol. 54(C), pages 181-193.
    15. Age Poom & Rein Ahas, 2016. "How Does the Environmental Load of Household Consumption Depend on Residential Location?," Sustainability, MDPI, vol. 8(9), pages 1-18, August.
    16. Muhammad Ridhuan Tony Lim Abdullah & Mohd Nuri Al-Amin Endut & Farrah Ilyani Che Jamaludin & Jalal ud Din Akbar & Asra, 2022. "Individual Energy Consumption Behavior Leads to Energy Sustainability in Malaysia," Sustainability, MDPI, vol. 14(8), pages 1-21, April.
    17. Zhang, Zhaohua & Hite, Diane, 2015. "House Value, Crime and Residential Location Choice," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196826, Southern Agricultural Economics Association.
    18. Yu, Biying & Zhang, Junyi & Li, Xia, 2017. "Dynamic life course analysis on residential location choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 281-292.
    19. Pothitou, Mary & Hanna, Richard F. & Chalvatzis, Konstantinos J., 2016. "Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study," Applied Energy, Elsevier, vol. 184(C), pages 1217-1229.
    20. Olorunjuwon David Adetayo & Gbenga John Oladehinde & Samson A. Adeyinka & Adejompo Fagbohunka, 2021. "Household Energy Demand in Typical Nigerian Rural Communities," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 7(2), pages 165-185.

31. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2011. "Representing in-home and out-of-home energy consumption behavior in Beijing," Energy Policy, Elsevier, vol. 39(7), pages 4168-4177, July.

    Cited by:

    1. Sikder, Sujan & Pinjari, Abdul Rawoof, 2013. "The benefits of allowing heteroscedastic stochastic distributions in multiple discrete-continuous choice models," Journal of choice modelling, Elsevier, vol. 9(C), pages 39-56.
    2. Zheng, Jiajia & Kamal, Muhammad Abdul, 2020. "The effect of household income on residential wastewater output: Evidence from urban China," Utilities Policy, Elsevier, vol. 63(C).
    3. Acharya, Bikram & Marhold, Klaus, 2019. "Determinants of household energy use and fuel switching behavior in Nepal," Energy, Elsevier, vol. 169(C), pages 1132-1138.
    4. Xiaofeng Lv & Kun Lin & Lingshan Chen & Yongzhong Zhang, 2022. "Does Retirement Affect Household Energy Consumption Structure? Evidence from a Regression Discontinuity Design," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    5. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2013. "A Household Time-Use and Energy-Consumption Model with Multiple Behavioral Interactions and Zero Consumption," Environment and Planning B, , vol. 40(2), pages 330-349, April.
    6. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2013. "Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing," Energy Policy, Elsevier, vol. 57(C), pages 441-453.
    7. Ramachandra, T.V. & Bajpai, Vishnu & Kulkarni, Gouri & Aithal, Bharath H. & Han, Sun Sheng, 2017. "Economic disparity and CO2 emissions: The domestic energy sector in Greater Bangalore, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1331-1344.
    8. Plappally, A.K. & Lienhard V, J.H., 2012. "Energy requirements for water production, treatment, end use, reclamation, and disposal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4818-4848.
    9. Yao, Xi-Long & Liu, Yang & Yan, Xiao, 2014. "A quantile approach to assess the effectiveness of the subsidy policy for energy-efficient home appliances: Evidence from Rizhao, China," Energy Policy, Elsevier, vol. 73(C), pages 512-518.
    10. Jiajia Zheng & Muhammad Abdul Kamal & Assad Ullah, 2020. "The direct and indirect effects of China's wastewater treatment service on urban household wastewater discharge," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1380-1400, September.
    11. Frontuto, Vito, 2019. "Forecasting household consumption of fuels: A multiple discrete-continuous approach," Applied Energy, Elsevier, vol. 240(C), pages 205-214.
    12. Yu, Biying & Tian, Yaming & Zhang, Junyi, 2015. "A dynamic active energy demand management system for evaluating the effect of policy scheme on household energy consumption behavior," Energy, Elsevier, vol. 91(C), pages 491-506.
    13. Lu, Hui & Hess, Stephane & Daly, Andrew & Rohr, Charlene, 2017. "Measuring the impact of alcohol multi-buy promotions on consumers' purchase behaviour," Journal of choice modelling, Elsevier, vol. 24(C), pages 75-95.
    14. Lan-Cui Liu & Gang Wu & Yue-Jun Zhang, 2015. "Investigating the residential energy consumption behaviors in Beijing: a survey study," 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. 75(1), pages 243-263, January.
    15. Ma, Guo & Andrews-Speed, Philip & Zhang, Jiandong, 2013. "Chinese consumer attitudes towards energy saving: The case of household electrical appliances in Chongqing," Energy Policy, Elsevier, vol. 56(C), pages 591-602.
    16. 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).
    17. Biying, Yu & Zhang, Junyi & Fujiwara, Akimasa, 2012. "Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects," Energy Policy, Elsevier, vol. 46(C), pages 319-334.

Books

1. Yiming Wei & Biying Yu (ed.), 2019. "Integrated assessment model analysis of climate change in China," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number b17, december.

   Cited by:

   1. Jing Ma & Qin Ju & Yiheng Du & Yanli Liu & Guoqing Wang & Huanan Zeng & Zhenchun Hao, 2022. "Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence," 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. 114(1), pages 971-987, October.