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Jun Bi

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. Jinchi Dong & Jinnan Wang & Richard S.J. Tol & Bi Jun, 2023. "The effects of weather conditions on economic growth: Evidence from global subnational economic output and income," Working Paper Series 0423, Department of Economics, University of Sussex Business School.

    Cited by:

    1. Tol, Richard S.J., 2024. "A meta-analysis of the total economic impact of climate change," Energy Policy, Elsevier, vol. 185(C).
    2. Ahmed, Walid M.A., 2024. "Attention to climate change and eco-friendly financial-asset prices: A quantile ARDL approach," Energy Economics, Elsevier, vol. 136(C).
    3. Naveen Kumar & Dibyendu Maiti, 2025. "Distributional impacts of global warming on wealth inequality: evidence from global panel of regions," Empirical Economics, Springer, vol. 69(6), pages 3889-3933, December.

Articles

  1. Wang, Yongxing & Liao, Feixiong & Bi, Jun & Lu, Chaoru, 2024. "Optimal battery electric bus system planning considering heterogeneous vehicles, opportunity charging, and battery degradation," Renewable Energy, Elsevier, vol. 237(PA).

    Cited by:

    1. Mingye Zhang & Moataz Mohamed & Ahmed Foda & Yihua Guo, 2025. "Optimal Electric Bus Charging Scheduling with Multiple Vehicle and Charger Types Considering Compatibility," Sustainability, MDPI, vol. 17(8), pages 1-22, April.

  2. Yang, Sheng & Zhang, Mingyi & Bi, Jun & Pei, Wansheng & Li, Guanji & Li, Renwei, 2023. "Evaluation of the long-term thermal stability of a crushed-rock revetment embankment in pan-Arctic permafrost regions under the effect of snow drift," Energy, Elsevier, vol. 263(PB).

    Cited by:

    1. Pei, Wansheng & Du, Shuai & Zhang, Mingyi & Zhou, Yanqiao & Ji, Yanjun, 2024. "Effect of evaporator curvature on the local non-equilibrium heat regulation in two-phase closed thermosyphon embankment in permafrost regions," Energy, Elsevier, vol. 301(C).
    2. Sun, Zhaohui & Liu, Jiankun & You, Tian & Ren, Zhifeng & Chang, Dan & Fang, Jianhong & Vladislav, Isaev, 2024. "Field test study on thermal performance of a novel embankment using solar refrigeration technology," Renewable Energy, Elsevier, vol. 226(C).

  3. Niu, Xiao-Jing & Zhao, Xiao-Mei & Xie, Dong-Fan & Liu, Feng & Bi, Jun & Lu, Chaoru, 2022. "Impact of large-scale activities on macroscopic fundamental diagram: Field data analysis and modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 241-268.

    Cited by:

    1. de Souza, Felipe & Minatto Saucedo, Rafael & Mousavizadeh, Omid & Castelan Carlson, Rodrigo & Keyvan-Ekbatani, Mehdi, 2024. "On the evaluation and selection of network-level traffic control policies: Perimeter control, TUC, and their combination," Transportation Research Part A: Policy and Practice, Elsevier, vol. 186(C).

  4. Zhang, Jiawei & Liu, Miaomiao & Bi, Jun, 2022. "Urban greenhouse gas emission peaking paths and embedded health co-benefits: A multicases comparison study in China," Applied Energy, Elsevier, vol. 311(C).

    Cited by:

    1. Paweł Modrzyński & Robert Karaszewski, 2022. "Urban Energy Management—A Systematic Literature Review," Energies, MDPI, vol. 15(21), pages 1-17, October.
    2. He, Xianya & Lin, Jian & Xu, Jinmei & Huang, Jingzhi & Wu, Nianyuan & Zhang, Yining & Liu, Songling & Jing, Rui & Xie, Shan & Zhao, Yingru, 2023. "Long-term planning of wind and solar power considering the technology readiness level under China's decarbonization strategy," Applied Energy, Elsevier, vol. 348(C).

  5. Wang, Xin & Yang, Jianxun & Zhou, Qi & Liu, Miaomiao & Bi, Jun, 2022. "Mapping the exchange between embodied economic benefits and CO2 emissions among Belt and Road Initiative countries," Applied Energy, Elsevier, vol. 307(C).

    Cited by:

    1. Md. Shofik Uddin, 2025. "Unveiling the Power Dynamic: A Critical Review of the Belt and Road Initiative’s Impact on China-Bangladesh Relations," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(2), pages 3120-3137, February.
    2. Zhongwen Xu & Liming Yao, 2023. "Reality check and determinants of carbon emission flow in the context of global trade: Indonesia being the centric studied country," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11973-11997, October.
    3. Lin, Zekun & Meng, Fanxin & Wang, Dongfang & Liao, Danqi & Sun, Yutong & Hou, Jiaqi & Liu, Gengyuan & Giannetti, Biagio Fernando & Agostinho, Feni & Almeida, Cecília M.V.B., 2023. "Unfolding carbon inequality across Belt and Road Initiative countries and regions under a global trade network," Ecological Modelling, Elsevier, vol. 482(C).
    4. Xiao, Zhaohua & Du, Limin & Wang, Zheng, 2023. "The Belt, the Road, and the carbon emissions in China," China Economic Review, Elsevier, vol. 78(C).
    5. Suxin Yang & Miguel Ángel Benedicto Solsona, 2025. "Carbon Emissions and Influencing Factors in the Areas Along the Belt and Road Initiative in Africa: A Spatial Spillover Perspective," Sustainability, MDPI, vol. 17(15), pages 1-35, August.
    6. Yanmei Li & Xin Sun & Xiushan Bai, 2022. "Differences of Carbon Emission Efficiency in the Belt and Road Initiative Countries," Energies, MDPI, vol. 15(4), pages 1-17, February.
    7. Pang, Qinghua & Liu, Xuan & Zhang, Lina & Chiu, Yung-ho, 2024. "Temporal-spatial evolution of environmental inequality of embodied energy transfer within inter-provincial trade of China," Energy, Elsevier, vol. 299(C).
    8. Sheng, Xuerou & Chen, Leping & Liu, Mengyue & Wang, Qingsong & Ma, Qiao & Zuo, Jian & Yuan, Xueliang, 2025. "Input-output models for carbon accounting: A multi-perspective analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 207(C).
    9. Zhou, Wenbing & Chi, Yuanying & Tang, Songlin & Hu, Yu & Wang, Zhengzao & Zhang, Xufeng, 2024. "The evolution analysis of low-carbon power transition strategies and carbon emission decoupling based on carbon neutrality target," Energy, Elsevier, vol. 311(C).
    10. Lu, Cheng & Du, Qiang, 2024. "The heterogeneous effects of transportation infrastructure on trade-embodied CO2 transfer: A multi-scale perspective," Energy, Elsevier, vol. 302(C).
    11. Tausch, Luca & Althouse, Jeffrey, 2025. "Ecologically unequal exchange (EUE) as a multi-tiered hierarchy: Investigating the interdependence of global and domestic environmental inequalities to explain China's rise," Ecological Economics, Elsevier, vol. 235(C).
    12. Qin Shu & Yang Su & Hong Li & Feng Li & Yunjie Zhao & Chen Du, 2023. "Study on the Spatial Structure and Drivers of Agricultural Carbon Emission Efficiency in Belt and Road Initiative Countries," Sustainability, MDPI, vol. 15(13), pages 1-27, July.

  6. Yongxing Wang & Jun Bi & Chaoru Lu & Cong Ding, 2020. "Route Guidance Strategies for Electric Vehicles by Considering Stochastic Charging Demands in a Time-Varying Road Network," Energies, MDPI, vol. 13(9), pages 1-24, May.

    Cited by:

    1. Yu Feng & Xiaochun Lu, 2021. "Construction Planning and Operation of Battery Swapping Stations for Electric Vehicles: A Literature Review," Energies, MDPI, vol. 14(24), pages 1-19, December.
    2. Yizhe Chen & Yifan Gao & Ruifeng Zhao & Jiangang Lu & Ming Li & Chengzhi Wei & Junhao Li, 2025. "Orderly Charging and Discharging Strategy for Electric Vehicles with Integrated Consideration of User and Distribution Grid Benefits," Energies, MDPI, vol. 18(9), pages 1-18, April.
    3. Yin, Wanjun & Jia, Leilei & Ji, Jianbo, 2024. "Energy optimal scheduling strategy considering V2G characteristics of electric vehicle," Energy, Elsevier, vol. 294(C).
    4. Junpeng Cai & Dewang Chen & Shixiong Jiang & Weijing Pan, 2020. "Dynamic-Area-Based Shortest-Path Algorithm for Intelligent Charging Guidance of Electric Vehicles," Sustainability, MDPI, vol. 12(18), pages 1-20, September.

  7. Bi, Jun & Wang, Yongxing & Sai, Qiuyue & Ding, Cong, 2019. "Estimating remaining driving range of battery electric vehicles based on real-world data: A case study of Beijing, China," Energy, Elsevier, vol. 169(C), pages 833-843.

    Cited by:

    1. Sirapa Shrestha & Bivek Baral & Malesh Shah & Sailesh Chitrakar & Bim P Shrestha, 2022. "Measures to resolve range anxiety in electric vehicle users [A new long term assessment of energy return on investment (EROI) for U.S. oil and gas discovery and production]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 1186-1206.
    2. Zhou, Litao & Wang, Zhenpo & Mao, Zhiyu & Wang, Qiushi & Zhang, Dayu & Zhang, Zhaosheng & Chen, Zhongwei, 2026. "Data-driven remaining driving range estimation and analysis framework for electric vehicles under real-world conditions11Zhiyu Mao (corresponding author) e-mail: zhymao@dicp.ac.cnZhaosheng Zhang (corresponding author) e-mail: zhangzhaosheng@bit.edu.c," Applied Energy, Elsevier, vol. 402(PB).
    3. Huang, Haichao & Gao, Kun & Wang, Yizhou & Najafi, Arsalan & Zhang, Zhe & He, Hongdi, 2025. "Sequence-aware energy consumption prediction for electric vehicles using pre-trip realistically accessible data," Applied Energy, Elsevier, vol. 401(PA).
    4. Leandro do C. Martins & Rafael D. Tordecilla & Juliana Castaneda & Angel A. Juan & Javier Faulin, 2021. "Electric Vehicle Routing, Arc Routing, and Team Orienteering Problems in Sustainable Transportation," Energies, MDPI, vol. 14(16), pages 1-30, August.
    5. Ku, Donggyun & Choi, Minje & Yoo, Nakyoung & Shin, Seungheon & Lee, Seungjae, 2021. "A new algorithm for eco-friendly path guidance focused on electric vehicles," Energy, Elsevier, vol. 233(C).
    6. Ren, Yilong & Lan, Zhengxing & Yu, Haiyang & Jiao, Gangxin, 2022. "Analysis and prediction of charging behaviors for private battery electric vehicles with regular commuting: A case study in Beijing," Energy, Elsevier, vol. 253(C).
    7. Ye Yang & Zhongfu Tan & Yilong Ren, 2020. "Research on Factors That Influence the Fast Charging Behavior of Private Battery Electric Vehicles," Sustainability, MDPI, vol. 12(8), pages 1-19, April.
    8. Afaq Ahmad & Muhammad Khalid & Zahid Ullah & Naveed Ahmad & Mohammad Aljaidi & Faheem Ahmed Malik & Umar Manzoor, 2022. "Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging," Energies, MDPI, vol. 15(24), pages 1-32, December.
    9. Küng, Lukas & Bütler, Thomas & Georges, Gil & Boulouchos, Konstantinos, 2019. "How much energy does a car need on the road?," Applied Energy, Elsevier, vol. 256(C).
    10. Huang, Haichao & Li, Bowen & Wang, Yizhou & Zhang, Zhe & He, Hongdi, 2024. "Analysis of factors influencing energy consumption of electric vehicles: Statistical, predictive, and causal perspectives," Applied Energy, Elsevier, vol. 375(C).
    11. Huang, Hai-chao & He, Hong-di & Peng, Zhong-ren, 2024. "Urban-scale estimation model of carbon emissions for ride-hailing electric vehicles during operational phase," Energy, Elsevier, vol. 293(C).
    12. Sun, Xilei & Fu, Jianqin, 2024. "Many-objective optimization of BEV design parameters based on gradient boosting decision tree models and the NSGA-III algorithm considering the ambient temperature," Energy, Elsevier, vol. 288(C).
    13. Parker, Nathan C. & Kuby, Michael & Liu, Jingteng & Stechel, Ellen B., 2025. "Extreme heat effects on electric vehicle energy consumption and driving range," Applied Energy, Elsevier, vol. 380(C).
    14. Gurusamy, Azhaganathan & Bokdia, Akshat & Kumar, Harsh & Ashok, Bragadeshwaran & Gunavathi, Chellamuthu, 2025. "Appositeness of automated machine learning libraries on prediction of energy consumption for electric two-wheelers based on micro-trip approach," Energy, Elsevier, vol. 320(C).
    15. Yongxing Wang & Jun Bi & Chaoru Lu & Cong Ding, 2020. "Route Guidance Strategies for Electric Vehicles by Considering Stochastic Charging Demands in a Time-Varying Road Network," Energies, MDPI, vol. 13(9), pages 1-24, May.
    16. Choi, Ingyu & Rah, Chongkwan & Kim, Minjae & Kim, Hyojung & Kim, Seong-joon, 2025. "Pre-trip energy-use prediction for micro electric vehicles from a single input: Driving-Profile Extraction and the Single Feature Prediction Model," Energy, Elsevier, vol. 340(C).
    17. Luin, Blaž & Petelin, Stojan & Al-Mansour, Fouad, 2019. "Microsimulation of electric vehicle energy consumption," Energy, Elsevier, vol. 174(C), pages 24-32.
    18. Sun, Tao & Xu, Yuwen & Feng, Lihong & Xu, Bowen & Chen, Dizuo & Zhang, Fang & Han, Xuebing & Zhao, Lihui & Zheng, Yuejiu, 2022. "A vehicle-cloud collaboration strategy for remaining driving range estimation based on online traffic route information and future operation condition prediction," Energy, Elsevier, vol. 248(C).
    19. Seo, Minhwan & Song, Youngbin & Kim, Jake & Paek, Sung Wook & Kim, Gi-Heon & Kim, Sang Woo, 2021. "Innovative lumped-battery model for state of charge estimation of lithium-ion batteries under various ambient temperatures," Energy, Elsevier, vol. 226(C).
    20. Huang, Hai-chao & He, Hong-di & Zhang, Zhe & Peng, Zhong-ren, 2025. "Explainable end-to-end prediction of remaining driving range for electric vehicles based on balanced ensemble transformer," Energy, Elsevier, vol. 334(C).
    21. Cui, Shaohua & Yao, Baozhen & Chen, Gang & Zhu, Chao & Yu, Bin, 2020. "The multi-mode mobile charging service based on electric vehicle spatiotemporal distribution," Energy, Elsevier, vol. 198(C).
    22. Yuan, Hong & Ma, Minda & Zhou, Nan & Xie, Hui & Ma, Zhili & Xiang, Xiwang & Ma, Xin, 2024. "Battery electric vehicle charging in China: Energy demand and emissions trends in the 2020s," Applied Energy, Elsevier, vol. 365(C).
    23. Al-Wreikat, Yazan & Serrano, Clara & Sodré, José Ricardo, 2021. "Driving behaviour and trip condition effects on the energy consumption of an electric vehicle under real-world driving," Applied Energy, Elsevier, vol. 297(C).
    24. Luo, Weijia & Li, Ni & Xiong, Zhuozhi & Chen, Wang & Li, Ye & Tang, Chong & Li, Yu & Dong, Changyin, 2025. "Phase-based power prediction for quadrotor UAVs with RF-TLATT," Energy, Elsevier, vol. 335(C).

  8. Zhou, Yuanchun & Ma, Mengdie & Gao, Peiqi & Xu, Qiming & Bi, Jun & Naren, Tuya, 2019. "Managing water resources from the energy - water nexus perspective under a changing climate: A case study of Jiangsu province, China," Energy Policy, Elsevier, vol. 126(C), pages 380-390.

    Cited by:

    1. Yi Zhao & Gang Lin & Dong Jiang & Jingying Fu & Xiang Li, 2022. "Low-Carbon Development from the Energy–Water Nexus Perspective in China’s Resource-Based City," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    2. Jin, Yi & Behrens, Paul & Tukker, Arnold & Scherer, Laura, 2019. "Water use of electricity technologies: A global meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    3. Fang, Jiani & Lv, Tong & Fang, Delin, 2025. "System dynamics modeling and copula-based risk evaluation of the water–energy–carbon nexus," Applied Energy, Elsevier, vol. 401(PB).
    4. Ana Luiza Fontenelle & Erik Nilsson & Ieda Geriberto Hidalgo & Cintia B. Uvo & Drielli Peyerl, 2022. "Temporal Understanding of the Water–Energy Nexus: A Literature Review," Energies, MDPI, vol. 15(8), pages 1-21, April.
    5. Yiru Guo & Yan Hu & Ke Shi & Yuriy Bilan, 2020. "Valuation of Water Resource Green Efficiency Based on SBM–TOBIT Panel Model: Case Study from Henan Province, China," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    6. Plaga, Leonie Sara & Bertsch, Valentin, 2023. "Methods for assessing climate uncertainty in energy system models — A systematic literature review," Applied Energy, Elsevier, vol. 331(C).
    7. Alberto Gianoli & Rishi Bhatnagar, 2019. "Managing the Water-Energy Nexus within a Climate Change Context—Lessons from the Experience of Cuenca, Ecuador," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    8. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    9. Ruan, Jianhui & Lyu, Chen & Qin, Ziyu & Jia, Min & Qian, Shuangyue & Cheng, Xiaobin & Cai, Bofeng & Wang, Shouyang & Yan, Gang & Tang, Ling, 2025. "Allowance allocation design for China's national ETS: Based on the unit-level data," Energy, Elsevier, vol. 333(C).
    10. Logan, Lauren H. & Gupta, Rohini S. & Ando, Amy & Suski, Cory & Stillwell, Ashlynn S., 2021. "Quantifying tradeoffs between electricity generation and fish populations via population habitat duration curves," Ecological Modelling, Elsevier, vol. 440(C).
    11. Nouri, Narjes & Balali, Farhad & Nasiri, Adel & Seifoddini, Hamid & Otieno, Wilkistar, 2019. "Water withdrawal and consumption reduction for electrical energy generation systems," Applied Energy, Elsevier, vol. 248(C), pages 196-206.
    12. Lihong Zhao & Yuge Zhang & Fuzhu Li & Yuki Yi Gong & Hideyuki Hao Sun & Sing Lui So & Zehua Chen, 2025. "Spatial Network Evolution of Water Resources Green Efficiency in Yellow River Basin Urban Agglomerations," Sustainability, MDPI, vol. 17(3), pages 1-31, January.
    13. Mounir, Adil & Mascaro, Giuseppe & White, Dave D., 2019. "A metropolitan scale analysis of the impacts of future electricity mix alternatives on the water-energy nexus," Applied Energy, Elsevier, vol. 256(C).
    14. Hao Li & Yuhuan Zhao & Jiang Lin, 2020. "A review of the energy–carbon–water nexus: Concepts, research focuses, mechanisms, and methodologies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 9(1), January.
    15. Ahmad, Shakeel & Jia, Haifeng & Chen, Zhengxia & Li, Qian & Xu, Changqing, 2020. "Water-energy nexus and energy efficiency: A systematic analysis of urban water systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    16. 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).
    17. Ghosh, Bikramaditya & Gubareva, Mariya & Ghosh, Anandita & Paparas, Dimitrios & Vo, Xuan Vinh, 2024. "Food, energy, and water nexus: A study on interconnectedness and trade-offs," Energy Economics, Elsevier, vol. 133(C).
    18. Zhaofang Zhang & Weijun He & Juqin Shen & Min An & Xin Gao & Dagmawi Mulugeta Degefu & Liang Yuan & Yang Kong & Chengcai Zhang & Jin Huang, 2019. "The Driving Forces of Point Source Wastewater Emission: Case Study of COD and NH 4 -N Discharges in Mainland China," IJERPH, MDPI, vol. 16(14), pages 1-19, July.

  9. Haikun Wang & Xi Lu & Yu Deng & Yaoguang Sun & Chris P. Nielsen & Yifan Liu & Ge Zhu & Maoliang Bu & Jun Bi & Michael B. McElroy, 2019. "China’s CO2 peak before 2030 implied from characteristics and growth of cities," Nature Sustainability, Nature, vol. 2(8), pages 748-754, August.

    Cited by:

    1. Xu, Feng & Li, Xiaodong & Yang, Zhihan & Zhu, Chen, 2024. "Spatiotemporal characteristics and driving factor analysis of embodied CO2 emissions in China's building sector," Energy Policy, Elsevier, vol. 188(C).
    2. Liu, Shuoshi & Zhou, Jiefeng & Yang, Siyu, 2024. "Advanced Rectisol wash equipment incorporating syngas liquefaction and methane recovery for enhanced energy management," Energy, Elsevier, vol. 299(C).
    3. Zhao, Mengxue & Chan, Hon S., 2024. "Balancing through agglomeration: A third path to sustainable development between common prosperity and carbon neutrality in China," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    4. Pan, Guangsheng & Gu, Wei & Chen, Sheng & Lu, Yuping & Zhou, Suyang & Wei, Zhinong, 2021. "Investment equilibrium of an integrated multi–stakeholder electricity–gas–hydrogen system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    5. Kazuyuki Miyazaki & Kevin Bowman, 2023. "Predictability of fossil fuel CO2 from air quality emissions," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    6. Li, Daimeng & Xu, Jiahe & Ma, Ruifei & Zhang, Xuan & Wu, Qiuwei, 2025. "A pathway design framework for rational low-carbon policies based on model predictive control," Applied Energy, Elsevier, vol. 396(C).
    7. Zhang, Tianhu & Wang, Fuxi & Gao, Yi & Liu, Yuanjun & Guo, Qiang & Zhao, Qingxin, 2023. "Optimization of a solar-air source heat pump system in the high-cold and high-altitude area of China," Energy, Elsevier, vol. 268(C).
    8. Zhang, Yue-Jun & Cheng, Hao-Sen, 2021. "The impact mechanism of the ETS on CO2 emissions from the service sector: Evidence from Beijing and Shanghai," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    9. Sun, Chen & Song, Junnian & Zhang, Dongqi & Wang, Xiaofan & Yang, Wei & Qi, Zhimin & Chen, Shaoqing, 2023. "Tracing urban carbon footprints differentiating supply chain complexity: A metropolis case," Energy, Elsevier, vol. 282(C).
    10. Chang, Yuan & Xue, Yibing & Song, Shangyi & Geng, Geng, 2025. "Analysis on carbon emission and peak forecasting of urban industrial zone renewal process in China based on extended Kaya identity," Energy, Elsevier, vol. 315(C).
    11. Sun, Hui & Wang, Enzhen & Li, Xiang & Cui, Xian & Guo, Jianbin & Dong, Renjie, 2021. "Potential biomethane production from crop residues in China: Contributions to carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    12. Miao, Ankang & Yuan, Yue & Wu, Han & Ma, Xin & Shao, Chenyu & Xiang, Sheng, 2024. "Pathway for China's provincial carbon emission peak: A case study of the Jiangsu Province," Energy, Elsevier, vol. 298(C).
    13. Qiqi Huang & Changying Xiang, 2025. "Interdependence and coordination challenges: EV charging infrastructure and carbon emissions in the Yangtze River Delta," Environment and Planning B, , vol. 52(4), pages 931-948, May.
    14. Wang, Yuanping & Hou, Lingchun & Hu, Lang & Cai, Weiguang & Wang, Lin & Dai, Cuilian & Chen, Juntao, 2023. "How family structure type affects household energy consumption: A heterogeneous study based on Chinese household evidence," Energy, Elsevier, vol. 284(C).
    15. Liao, Hua & Ye, Huiying, 2023. "Endogenous economic structure, climate change, and the optimal abatement path," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 417-429.
    16. Liu, Geng & Sun, Shida & Zou, Chao & Wang, Bo & Wu, Lin & Mao, Hongjun, 2022. "Air pollutant emissions from on-road vehicles and their control in Inner Mongolia, China," Energy, Elsevier, vol. 238(PB).
    17. Wang, Xiaoling & Zhang, Tianyue & Nathwani, Jatin & Yang, Fangming & Shao, Qinglong, 2022. "Environmental regulation, technology innovation, and low carbon development: Revisiting the EKC Hypothesis, Porter Hypothesis, and Jevons’ Paradox in China's iron & steel industry," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    18. Xia, Linlin & Fu, Wenqi & Ke, Yuhan & Wang, Ruwei & Liang, Sai & Yang, Zhifeng, 2025. "China's economic restructuring helps improve land-use resilience of carbon metabolism: Evidences from three Chinese megacities," Applied Energy, Elsevier, vol. 377(PC).
    19. Rong Tang & Jing Zhao & Yifan Liu & Xin Huang & Yanxu Zhang & Derong Zhou & Aijun Ding & Chris P. Nielsen & Haikun Wang, 2022. "Air quality and health co-benefits of China’s carbon dioxide emissions peaking before 2030," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    20. Tu, Chuang & Mu, Xianzhong & Chen, Jian & Kong, Li & Zhang, Zheng & Lu, Yutong & Hu, Guangwen, 2021. "Study on the interactive relationship between urban residents’ expenditure and energy consumption of production sectors," Energy Policy, Elsevier, vol. 157(C).
    21. Jiang, Shiqi & Lin, Xinyue & Qi, Lingli & Zhang, Yongqiang & Sharp, Basil, 2022. "The macro-economic and CO2 emissions impacts of COVID-19 and recovery policies in China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 981-996.
    22. 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).
    23. Liu, Yinshan & Wang, Yuanfeng & Shi, Chengcheng & Zhang, Weijun & Luo, Wei & Wang, Jingjing & Li, Keping & Yeung, Ngai & Kite, Steve, 2022. "Assessing the CO2 reduction target gap and sustainability for bridges in China by 2040," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    24. Zheng, Shenglin & Yuan, Rong, 2023. "Sectoral convergence analysis of China's emissions intensity and its implications," Energy, Elsevier, vol. 262(PB).
    25. 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).
    26. Guangsheng Pan & Qinran Hu & Wei Gu & Shixing Ding & Haifeng Qiu & Yuping Lu, 2021. "Assessment of plum rain’s impact on power system emissions in Yangtze-Huaihe River basin of China," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    27. Lin, Huaxing & Zhou, Ziqian & Chen, Shun & Jiang, Ping, 2023. "Clustering and assessing carbon peak statuses of typical cities in underdeveloped Western China," Applied Energy, Elsevier, vol. 329(C).
    28. Jingcheng Li & Menggang Li, 2022. "Research of Carbon Emission Reduction Potentials in the Yellow River Basin, Based on Cluster Analysis and the Logarithmic Mean Divisia Index (LMDI) Method," Sustainability, MDPI, vol. 14(9), pages 1-16, April.

  10. Jun Bi & Yongxing Wang & Shuai Sun & Wei Guan, 2018. "Predicting Charging Time of Battery Electric Vehicles Based on Regression and Time-Series Methods: A Case Study of Beijing," Energies, MDPI, vol. 11(5), pages 1-18, April.

    Cited by:

    1. Kai Liu & Sijia Luo & Jing Zhou, 2020. "En-Route Battery Management and a Mixed Network Equilibrium Problem Based on Electric Vehicle Drivers’ En-Route Recharging Behaviors," Energies, MDPI, vol. 13(16), pages 1-14, August.
    2. Zhenfeng Liu & Xinyue Xiang & Jian Feng, 2024. "Tracing evolutionary trajectory of charging technologies in electric vehicles: patent citation network analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(5), pages 12789-12813, May.
    3. Yongxing Wang & Jun Bi & Chaoru Lu & Cong Ding, 2020. "Route Guidance Strategies for Electric Vehicles by Considering Stochastic Charging Demands in a Time-Varying Road Network," Energies, MDPI, vol. 13(9), pages 1-24, May.

  11. Huang, Lei & He, Ruoying & Yang, Qianqi & Chen, Jin & Zhou, Ying & Hammitt, James K. & Lu, Xi & Bi, Jun & Liu, Yang, 2018. "The changing risk perception towards nuclear power in China after the Fukushima nuclear accident in Japan," Energy Policy, Elsevier, vol. 120(C), pages 294-301.

    Cited by:

    1. Wang, Jing & Li, Yazhou & Wu, Jianlin & Gu, Jibao & Xu, Shuo, 2020. "Environmental beliefs and public acceptance of nuclear energy in China: A moderated mediation analysis," Energy Policy, Elsevier, vol. 137(C).
    2. Liu, Peng & Ma, Yanjiao & Zuo, Yaqing, 2019. "Self-driving vehicles: Are people willing to trade risks for environmental benefits?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 139-149.
    3. Abdulla, A. & Vaishnav, P. & Sergi, B. & Victor, D.G., 2019. "Limits to deployment of nuclear power for decarbonization: Insights from public opinion," Energy Policy, Elsevier, vol. 129(C), pages 1339-1346.
    4. Zeler, Ileana & Rodriguez-Amat, Joan Ramon & Muhammad Amir, Riasat, 2025. "A computational analysis of the media coverage of the European Parliament's ‘green' Designation on sustainable energy and climate change," Energy Policy, Elsevier, vol. 202(C).
    5. Lee, You-Kyung, 2020. "Sustainability of nuclear energy in Korea: From the users’ perspective," Energy Policy, Elsevier, vol. 147(C).
    6. Yu, Sha & Yarlagadda, Brinda & Siegel, Jonas Elliott & Zhou, Sheng & Kim, Sonny, 2020. "The role of nuclear in China's energy future: Insights from integrated assessment," Energy Policy, Elsevier, vol. 139(C).
    7. Vladimir M. Cvetković & Adem Öcal & Yuliya Lyamzina & Eric K. Noji & Neda Nikolić & Goran Milošević, 2021. "Nuclear Power Risk Perception in Serbia: Fear of Exposure to Radiation vs. Social Benefits," Energies, MDPI, vol. 14(9), pages 1-19, April.
    8. Ding, Song & Li, Ruojin & Wu, Shu & Zhou, Weijie, 2021. "Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 298(C).
    9. Wang, Lingling & Watanabe, Tsunemi, 2019. "Effects of environmental policy on public risk perceptions of haze in Tianjin City: A difference-in-differences analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 199-212.
    10. Jang, Yeonju & Park, Eunil, 2020. "Social acceptance of nuclear power plants in Korea: The role of public perceptions following the Fukushima accident," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    11. Jie Yang & Jie Wang & Xiaofeng Zhang & Chunqi Shen & Zhijuan Shao, 2022. "How Social Impressions Affect Public Acceptance of Nuclear Energy: A Case Study in China," Sustainability, MDPI, vol. 14(18), pages 1-23, September.

  12. Haikun Wang & Yanxu Zhang & Hongyan Zhao & Xi Lu & Yanxia Zhang & Weimo Zhu & Chris P. Nielsen & Xin Li & Qiang Zhang & Jun Bi & Michael B. McElroy, 2017. "Trade-driven relocation of air pollution and health impacts in China," Nature Communications, Nature, vol. 8(1), pages 1-7, December.

    Cited by:

    1. Liu, Yating & Fang, Delin & Chen, Bin, 2021. "Interregional spillover effect of PM2.5 emissions on Northeast China through the national supply chain," Applied Energy, Elsevier, vol. 303(C).
    2. Zhao Liu & Lan-Ye Wei, 2022. "Effects of ODI and export trade structure on CO2 emissions in China: nonlinear relationships," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13630-13656, December.
    3. Jing Shao & Nan Xiang & Yutong Zhang & Xiang Li & Guihua Liang, 2021. "Dynamic Simulation of Integrated Cleaner Production Strategies towards High Quality Development in a Heavily Air-Polluted City in China," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    4. Ling, Zaili & Huang, Tao & Li, Jixiang & Zhou, Sheng & Lian, Lulu & Wang, Jinxiang & Zhao, Yuan & Mao, Xiaoxuan & Gao, Hong & Ma, Jianmin, 2019. "Sulfur dioxide pollution and energy justice in Northwestern China embodied in West-East Energy Transmission of China," Applied Energy, Elsevier, vol. 238(C), pages 547-560.
    5. Zuo, Qiting & Zhang, Zhizhuo & Wu, Qingsong & Ji, Yihu & Ma, Junxia, 2025. "Revealing environmental inequality based on three-dimensional extended input-output analysis: An integrated perspective of embodied water consumption, fossil energy use and carbon emissions," Energy, Elsevier, vol. 330(C).
    6. Hehua Zhao & Hongwen Chen & Lei He, 2022. "Embodied Carbon Emissions and Regional Transfer Characteristics—Evidence from China," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    7. Keisuke Nansai & Susumu Tohno & Satoru Chatani & Keiichiro Kanemoto & Shigemi Kagawa & Yasushi Kondo & Wataru Takayanagi & Manfred Lenzen, 2021. "Consumption in the G20 nations causes particulate air pollution resulting in two million premature deaths annually," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    8. Wang, Xin & Yang, Jianxun & Zhou, Qi & Liu, Miaomiao & Bi, Jun, 2022. "Mapping the exchange between embodied economic benefits and CO2 emissions among Belt and Road Initiative countries," Applied Energy, Elsevier, vol. 307(C).
    9. Xiaofan Liu & Tian Liu, 2025. "The impact of trade openness on perceived income inequality: evidence from China," Empirical Economics, Springer, vol. 69(6), pages 3849-3887, December.
    10. Gang Li & Akihiko Yanase, 2022. "Trade, Resource Use and Pollution: A Synthesis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(3), pages 861-901, November.
    11. Fangjin Xu & Qingxu Huang & Huanbi Yue & Xingyun Feng & Haoran Xu & Chunyang He & Peng Yin & Brett A. Bryan, 2023. "The challenge of population aging for mitigating deaths from PM2.5 air pollution in China," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    12. Rong Tang & Jing Zhao & Yifan Liu & Xin Huang & Yanxu Zhang & Derong Zhou & Aijun Ding & Chris P. Nielsen & Haikun Wang, 2022. "Air quality and health co-benefits of China’s carbon dioxide emissions peaking before 2030," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    13. Yao, Zhu & Gan, Mi & Wang, Li & Peng, Tao & Yu, Hao & Liu, Xiaobo, 2025. "Impact of carbon inequality embodied in interprovincial trade on National Road Freight Supply Chain Resilience," Journal of Transport Geography, Elsevier, vol. 128(C).
    14. Mudan Wang & Xianqiang Mao & Youkai Xing & Jianhong Lu & Peng Song & Zhengyan Liu & Zhi Guo & Kevin Tu & Eric Zusman, 2021. "Breaking down barriers on PV trade will facilitate global carbon mitigation," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    15. Hui Wang & Guangxing Ji & Jisheng Xia, 2019. "Analysis of Regional Differences in Energy-Related PM 2.5 Emissions in China: Influencing Factors and Mitigation Countermeasures," Sustainability, MDPI, vol. 11(5), pages 1-14, March.
    16. Xu, Jiajun & Wang, Jinchao & Li, Rui & Yang, Xiaojun, 2023. "Spatio-temporal effects of urbanization on CO2 emissions: Evidences from 268 Chinese cities," Energy Policy, Elsevier, vol. 177(C).

  13. Miaomiao Liu & Yining Huang & Rosemary Hiscock & Qin Li & Jun Bi & Patrick L. Kinney & Clive E. Sabel, 2016. "Do Climate Change Policies Promote or Conflict with Subjective Wellbeing: A Case Study of Suzhou, China," IJERPH, MDPI, vol. 13(3), pages 1-16, March.

    Cited by:

    1. Hania Rahimi-Ardabili & Thomas Astell-Burt & Phi-Yen Nguyen & Juan Zhang & Yu Jiang & Guang-Hui Dong & Xiaoqi Feng, 2021. "Green Space and Health in Mainland China: A Systematic Review," IJERPH, MDPI, vol. 18(18), pages 1-22, September.

  14. Bi, Jun & Zhang, Ting & Yu, Haiyang & Kang, Yanqiong, 2016. "State-of-health estimation of lithium-ion battery packs in electric vehicles based on genetic resampling particle filter," Applied Energy, Elsevier, vol. 182(C), pages 558-568.

    Cited by:

    1. Xingxing Wang & Peilin Ye & Shengren Liu & Yu Zhu & Yelin Deng & Yinnan Yuan & Hongjun Ni, 2023. "Research Progress of Battery Life Prediction Methods Based on Physical Model," Energies, MDPI, vol. 16(9), pages 1-20, April.
    2. Li, Junfu & Wang, Lixin & Lyu, Chao & Wang, Dafang & Pecht, Michael, 2019. "Parameter updating method of a simplified first principles-thermal coupling model for lithium-ion batteries," Applied Energy, Elsevier, vol. 256(C).
    3. Chen, Lin & Wang, Huimin & Liu, Bohao & Wang, Yijue & Ding, Yunhui & Pan, Haihong, 2021. "Battery state-of-health estimation based on a metabolic extreme learning machine combining degradation state model and error compensation," Energy, Elsevier, vol. 215(PA).
    4. Khaleghi, Sahar & Hosen, Md Sazzad & Karimi, Danial & Behi, Hamidreza & Beheshti, S. Hamidreza & Van Mierlo, Joeri & Berecibar, Maitane, 2022. "Developing an online data-driven approach for prognostics and health management of lithium-ion batteries," Applied Energy, Elsevier, vol. 308(C).
    5. Xiaohui Xu & Ke Deng & Jibin Yang & Pengyi Deng & Xiaohua Wu & Linsui Cheng & Haolan Zhou, 2025. "Jointed SOH Estimation of Electric Bus Batteries Based on Operating Conditions and Multiple Indicators," Sustainability, MDPI, vol. 17(3), pages 1-24, January.
    6. Shuo Sun & Junzhong Sun & Zongliang Wang & Zhiyong Zhou & Wei Cai, 2022. "Prediction of Battery SOH by CNN-BiLSTM Network Fused with Attention Mechanism," Energies, MDPI, vol. 15(12), pages 1-17, June.
    7. Pan, Haihong & Lü, Zhiqiang & Wang, Huimin & Wei, Haiyan & Chen, Lin, 2018. "Novel battery state-of-health online estimation method using multiple health indicators and an extreme learning machine," Energy, Elsevier, vol. 160(C), pages 466-477.
    8. Shao-Xun Liu & Ya-Fu Zhou & Yan-Liang Liu & Jing Lian & Li-Jian Huang, 2021. "A Method for Battery Health Estimation Based on Charging Time Segment," Energies, MDPI, vol. 14(9), pages 1-15, May.
    9. Khaleghi, Sahar & Karimi, Danial & Beheshti, S. Hamidreza & Hosen, Md. Sazzad & Behi, Hamidreza & Berecibar, Maitane & Van Mierlo, Joeri, 2021. "Online health diagnosis of lithium-ion batteries based on nonlinear autoregressive neural network," Applied Energy, Elsevier, vol. 282(PA).
    10. Yang, Duo & Wang, Yujie & Pan, Rui & Chen, Ruiyang & Chen, Zonghai, 2018. "State-of-health estimation for the lithium-ion battery based on support vector regression," Applied Energy, Elsevier, vol. 227(C), pages 273-283.
    11. Zhao, Yang & Liu, Peng & Wang, Zhenpo & Zhang, Lei & Hong, Jichao, 2017. "Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods," Applied Energy, Elsevier, vol. 207(C), pages 354-362.
    12. Zhao, Hongqian & Chen, Zheng & Shu, Xing & Shen, Jiangwei & Lei, Zhenzhen & Zhang, Yuanjian, 2023. "State of health estimation for lithium-ion batteries based on hybrid attention and deep learning," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    13. Runzhe Shan & Yaxuan Wang & Shilong Guo & Yue Cui & Lei Zhao & Junfu Li & Zhenbo Wang, 2025. "From Empirical Measurements to AI Fusion—A Holistic Review of SOH Estimation Techniques for Lithium-Ion Batteries in Electric and Hybrid Vehicles," Energies, MDPI, vol. 18(13), pages 1-42, July.
    14. Shyang-Chyuan Fang & Bwo-Ren Ke & Chen-Yuan Chung, 2017. "Minimization of Construction Costs for an All Battery-Swapping Electric-Bus Transportation System: Comparison with an All Plug-In System," Energies, MDPI, vol. 10(7), pages 1-20, June.
    15. Li, Shuangqi & He, Hongwen & Zhao, Pengfei & Cheng, Shuang, 2022. "Data cleaning and restoring method for vehicle battery big data platform," Applied Energy, Elsevier, vol. 320(C).
    16. Li, Shuangqi & He, Hongwen & Zhao, Pengfei & Cheng, Shuang, 2022. "Health-Conscious vehicle battery state estimation based on deep transfer learning," Applied Energy, Elsevier, vol. 316(C).
    17. Li, Yang & Gao, Guoqiang & Chen, Kui & He, Shuhang & Liu, Kai & Xin, Dongli & Luo, Yang & Long, Zhou & Wu, Guangning, 2025. "State-of-health prediction of lithium-ion batteries using feature fusion and a hybrid neural network model," Energy, Elsevier, vol. 319(C).
    18. Dai, Haifeng & Jiang, Bo & Hu, Xiaosong & Lin, Xianke & Wei, Xuezhe & Pecht, Michael, 2021. "Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    19. Wu, Muyao & Zhong, Yiming & Wu, Ji & Wang, Yuqing & Wang, Li, 2023. "State of health estimation of the lithium-ion power battery based on the principal component analysis-particle swarm optimization-back propagation neural network," Energy, Elsevier, vol. 283(C).
    20. Haochen Qin & Xuexin Fan & Yaxiang Fan & Ruitian Wang & Qianyi Shang & Dong Zhang, 2023. "A Computationally Efficient Approach for the State-of-Health Estimation of Lithium-Ion Batteries," Energies, MDPI, vol. 16(14), pages 1-23, July.
    21. Lyu, Zhiqiang & Wang, Geng & Gao, Renjing, 2022. "Synchronous state of health estimation and remaining useful lifetime prediction of Li-Ion battery through optimized relevance vector machine framework," Energy, Elsevier, vol. 251(C).
    22. Hong, Jichao & Li, Kerui & Liang, Fengwei & Yang, Haixu & Zhang, Chi & Yang, Qianqian & Wang, Jiegang, 2024. "A novel state of health prediction method for battery system in real-world vehicles based on gated recurrent unit neural networks," Energy, Elsevier, vol. 289(C).
    23. Deng, Yuanwang & Ying, Hejie & E, Jiaqiang & Zhu, Hao & Wei, Kexiang & Chen, Jingwei & Zhang, Feng & Liao, Gaoliang, 2019. "Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries," Energy, Elsevier, vol. 176(C), pages 91-102.
    24. Li, Yang & Wang, Shunli & Chen, Lei & Qi, Chuangshi & Fernandez, Carlos, 2023. "Multiple layer kernel extreme learning machine modeling and eugenics genetic sparrow search algorithm for the state of health estimation of lithium-ion batteries," Energy, Elsevier, vol. 282(C).
    25. Lehtola, Timo, 2025. "Vehicle-to-grid applications and battery cycle aging: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 208(C).
    26. Rahbari, Omid & Omar, Noshin & Firouz, Yousef & Rosen, Marc A. & Goutam, Shovon & Van Den Bossche, Peter & Van Mierlo, Joeri, 2018. "A novel state of charge and capacity estimation technique for electric vehicles connected to a smart grid based on inverse theory and a metaheuristic algorithm," Energy, Elsevier, vol. 155(C), pages 1047-1058.
    27. Miquel Martí-Florences & Andreu Cecilia & Ramon Costa-Castelló, 2023. "Modelling and Estimation in Lithium-Ion Batteries: A Literature Review," Energies, MDPI, vol. 16(19), pages 1-36, September.
    28. Wu, Muyao & Wang, Li & Wu, Ji, 2023. "State of health estimation of the LiFePO4 power battery based on the forgetting factor recursive Total Least Squares and the temperature correction," Energy, Elsevier, vol. 282(C).
    29. Wu, Mengdan & Yang, Shunkun & Li, Daoyi & Liu, Lei & Bian, Chong, 2025. "DCML-CSAR: A deep cascaded framework with dual-coupled memory learning and orthogonal feature extraction via recursive parameter transfer for SOH-RUL assessment," Reliability Engineering and System Safety, Elsevier, vol. 264(PA).

  15. Zhang, Yanxia & Wang, Haikun & Liang, Sai & Xu, Ming & Zhang, Qiang & Zhao, Hongyan & Bi, Jun, 2015. "A dual strategy for controlling energy consumption and air pollution in China's metropolis of Beijing," Energy, Elsevier, vol. 81(C), pages 294-303.

    Cited by:

    1. Alicja Kolasa-Więcek & Dariusz Suszanowicz & Agnieszka A. Pilarska & Krzysztof Pilarski, 2021. "Modelling the Interaction between Air Pollutant Emissions and Their Key Sources in Poland," Energies, MDPI, vol. 14(21), pages 1-14, October.
    2. Gao, Yuan & Chong, Chin Hao & Liu, Gengyuan & Casazza, Marco & Xiong, Xiaoping & Liu, Bojie & Zhou, Xuanru & Zhou, Xiaoyong & Li, Zheng & Ni, Weidou & Hao, Yan & Ma, Linwei, 2024. "Identification of carbon responsibility factors based on energy consumption from 2005 to 2020 in China," Energy, Elsevier, vol. 296(C).
    3. Wang, Haikun & Zhang, Yanxia & Lu, Xi & Nielsen, Chris P. & Bi, Jun, 2015. "Understanding China׳s carbon dioxide emissions from both production and consumption perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 189-200.
    4. Feng, Xuning & Lu, Languang & Ouyang, Minggao & Li, Jiangqiu & He, Xiangming, 2016. "A 3D thermal runaway propagation model for a large format lithium ion battery module," Energy, Elsevier, vol. 115(P1), pages 194-208.
    5. Han Sun & Chao Huang & Shan Ni, 2022. "Driving factors of consumption-based PM2.5 emissions in China: an application of the generalized Divisia index," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 10209-10231, August.
    6. Huang, He & Hong, Jingke & Wang, Xianzhu & Chang-Richards, Alice & Zhang, Jingxiao & Qiao, Bei, 2022. "A spatiotemporal analysis of the driving forces behind the energy interactions of the Chinese economy: Evidence from static and dynamic perspectives," Energy, Elsevier, vol. 239(PB).
    7. Gonçalves, Rui & Ribeiro, Vitor Miguel, 2024. "Convolutional attention with roll padding: Classifying PM2.5 concentration levels in the city of Beijing," Energy, Elsevier, vol. 289(C).

  16. Zhang, Hui & Zhang, Bing & Bi, Jun, 2015. "More efforts, more benefits: Air pollutant control of coal-fired power plants in China," Energy, Elsevier, vol. 80(C), pages 1-9.

    Cited by:

    1. Ti, Shuguang & Kuang, Min & Wang, Haopeng & Xu, Guangyin & Niu, Cong & Liu, Yannan & Wang, Zhenfeng, 2020. "Experimental combustion characteristics and NOx emissions at 50% of the full load for a 600-MWe utility boiler: Effects of the coal feed rate for various mills," Energy, Elsevier, vol. 196(C).
    2. Liu, Lei & Wang, Ke & Wang, Shanshan & Zhang, Ruiqin & Tang, Xiaoyan, 2018. "Assessing energy consumption, CO2 and pollutant emissions and health benefits from China's transport sector through 2050," Energy Policy, Elsevier, vol. 116(C), pages 382-396.
    3. Zhang, Lipeng & Gudmundsson, Oddgeir & Thorsen, Jan Eric & Li, Hongwei & Li, Xiaopeng & Svendsen, Svend, 2016. "Method for reducing excess heat supply experienced in typical Chinese district heating systems by achieving hydraulic balance and improving indoor air temperature control at the building level," Energy, Elsevier, vol. 107(C), pages 431-442.
    4. Rith, Monorom & Fillone, Alexis M. & Biona, Jose Bienvenido Manuel M., 2020. "Energy and environmental benefits and policy implications for private passenger vehicles in an emerging metropolis of Southeast Asia – A case study of Metro Manila," Applied Energy, Elsevier, vol. 275(C).
    5. Woo, C.K. & Shiu, A. & Liu, Y. & Luo, X. & Zarnikau, J., 2018. "Consumption effects of an electricity decarbonization policy: Hong Kong," Energy, Elsevier, vol. 144(C), pages 887-902.
    6. Li, Mingquan & Dai, Hancheng & Xie, Yang & Tao, Ye & Bregnbaek, Lars & Sandholt, Kaare, 2017. "Water conservation from power generation in China: A provincial level scenario towards 2030," Applied Energy, Elsevier, vol. 208(C), pages 580-591.
    7. Bonalumi, Davide & Giuffrida, Antonio, 2016. "Investigations of an air-blown integrated gasification combined cycle fired with high-sulphur coal with post-combustion carbon capture by aqueous ammonia," Energy, Elsevier, vol. 117(P2), pages 439-449.
    8. Liu, Guoqiang & Zhou, Xuan & Yan, Junwei & Yan, Gang, 2021. "A temperature and time-sharing dynamic control approach for space heating of buildings in district heating system," Energy, Elsevier, vol. 221(C).
    9. Bo Vandenbulcke & Nick Verhaeghe & Lisa Cruycke & Max Lelie & Steven Simoens & Koen Putman, 2025. "Evaluating the Cost-Effectiveness of Air Pollution Mitigation Strategies: A Systematic Review," IJERPH, MDPI, vol. 22(6), pages 1-37, June.
    10. Wang, Ke & Wang, Shanshan & Liu, Lei & Yue, Hui & Zhang, Ruiqin & Tang, Xiaoyan, 2016. "Environmental co-benefits of energy efficiency improvement in coal-fired power sector: A case study of Henan Province, China," Applied Energy, Elsevier, vol. 184(C), pages 810-819.
    11. Liu, Chang & Zhu, Bei & Ni, Jinlan & Wei, Chu, 2021. "Residential coal-switch policy in China: Development, achievement, and challenge," Energy Policy, Elsevier, vol. 151(C).
    12. Yu, Yunjiang & Dai, Chun & Wei, Yigang & Ren, Huiming & Zhou, Jiawen, 2022. "Air pollution prevention and control action plan substantially reduced PM2.5 concentration in China," Energy Economics, Elsevier, vol. 113(C).
    13. Li, Mingquan & Patiño-Echeverri, Dalia, 2017. "Estimating benefits and costs of policies proposed in the 13th FYP to improve energy efficiency and reduce air emissions of China's electric power sector," Energy Policy, Elsevier, vol. 111(C), pages 222-234.

  17. Gu, Binxian & Wang, Haikun & Chen, Zun & Jiang, Suqin & Zhu, Weimo & Liu, Miaomiao & Chen, Yangqing & Wu, Yi & He, Sheng & Cheng, Rong & Yang, Jie & Bi, Jun, 2015. "Characterization, quantification and management of household solid waste: A case study in China," Resources, Conservation & Recycling, Elsevier, vol. 98(C), pages 67-75.

    Cited by:

    1. Xuemeng Zhang & Chao Liu & Yuexi Chen & Guanghong Zheng & Yinguang Chen, 2022. "Source separation, transportation, pretreatment, and valorization of municipal solid waste: a critical review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11471-11513, October.
    2. Wang, Fei & Yu, Xiaohua, 2025. "Climate and household food waste in China," Food Policy, Elsevier, vol. 135(C).
    3. Wei, Yunmei & Li, Jingyuan & Shi, Dezhi & Liu, Guotao & Zhao, Youcai & Shimaoka, Takayuki, 2017. "Environmental challenges impeding the composting of biodegradable municipal solid waste: A critical review," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 51-65.
    4. Steuer, Benjamin & Ramusch, Roland & Part, Florian & Salhofer, Stefan, 2017. "Analysis of the value chain and network structure of informal waste recycling in Beijing, China," Resources, Conservation & Recycling, Elsevier, vol. 117(PB), pages 137-150.
    5. Xi Tian & Kexin Yuan & Huwei Wen & Ziqian Xia & Fei Peng & Dan Men & Guoen Wei & Yaobao Qian & Yaobin Liu, 2025. "IoT-based analysis reveals behavioral differences in public participation in low-value recyclables collection," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    6. Shu Yang & Peng Cheng & Shanyong Wang & Jun Li, 2021. "Towards Sustainable Cities: The Spillover Effects of Waste-Sorting Policies on Sustainable Consumption," IJERPH, MDPI, vol. 18(20), pages 1-16, October.
    7. Chol Daniel Deng Garang & John Leju Celestino Ladu & Yahya Ibrahim Said & Dr Akashraj Devanga, 2025. "Status of Financial Resources and Willingness to Pay for Solid Waste Management in Juba City, South Sudan," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(5), pages 2482-2503, May.
    8. Cheng, Xiu & Li, Wenbo & Yang, Jiameng & Zhang, Linling, 2023. "How convenience and informational tools shape waste separation behavior: A social network approach," Resources Policy, Elsevier, vol. 86(PB).
    9. Jinhui Liu & Qing Li & Wei Gu & Chen Wang, 2019. "The Impact of Consumption Patterns on the Generation of Municipal Solid Waste in China: Evidences from Provincial Data," IJERPH, MDPI, vol. 16(10), pages 1-19, May.
    10. Liu, Tingting & Wu, Yufeng & Tian, Xi & Gong, Yu, 2015. "Urban household solid waste generation and collection in Beijing, China," Resources, Conservation & Recycling, Elsevier, vol. 104(PA), pages 31-37.

  18. Wang, Haikun & Zhang, Yanxia & Lu, Xi & Nielsen, Chris P. & Bi, Jun, 2015. "Understanding China׳s carbon dioxide emissions from both production and consumption perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 189-200.

    Cited by:

    1. Jun Dong & Dongran Liu & Dongxue Wang & Qi Zhang, 2019. "Identification of Key Influencing Factors of Sustainable Development for Traditional Power Generation Groups in a Market by Applying an Extended MCDM Model," Sustainability, MDPI, vol. 11(6), pages 1-30, March.
    2. Xueping Tao & Ping Wang & Bangzhu Zhu, 2016. "Measuring the Interprovincial CO 2 Emissions Considering Electric Power Dispatching in China: From Production and Consumption Perspectives," Sustainability, MDPI, vol. 8(6), pages 1-12, May.
    3. Ran Wang & Hui Ci & Ting Zhang & Yuxin Tang & Jinyuan Wei & Hui Yang & Gefei Feng & Zhaojin Yan, 2023. "Spatial-Temporal Evolution Characteristics of Industrial Carbon Emissions in China’s Most Developed Provinces from 1998–2013: The Case of Guangdong," Energies, MDPI, vol. 16(5), pages 1-21, February.
    4. Mirza, Sultan Sikandar & Xu, Ninglu & Corbet, Shaen & Scrimgeour, Frank, 2025. "Green innovation under financial and policy uncertainty: Evidence from China," Research in International Business and Finance, Elsevier, vol. 76(C).
    5. Wang, Jianxiao & An, Qi & Zhao, Yue & Pan, Guangsheng & Song, Jie & Hu, Qinran & Tan, Chin-Woo, 2023. "Role of electrolytic hydrogen in smart city decarbonization in China," Applied Energy, Elsevier, vol. 336(C).
    6. Tong Zhang & Li Zhao & Chong Li, 2025. "The Impact of Green Taxation on Climate Change Mitigation Under Fiscal Decentralization: Evidence from China," Economies, MDPI, vol. 13(9), pages 1-23, September.
    7. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    8. Jiancheng Qin & Hui Tao & Minjin Zhan & Qamar Munir & Karthikeyan Brindha & Guijin Mu, 2019. "Scenario Analysis of Carbon Emissions in the Energy Base, Xinjiang Autonomous Region, China," Sustainability, MDPI, vol. 11(15), pages 1-18, August.
    9. 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.
    10. Luo, Zongwei & Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Hazen, Benjamin & Roubaud, David, 2017. "Sustainable production framework for cement manufacturing firms: A behavioural perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 495-502.
    11. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    12. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    13. Du, Mingxi & Wang, Xiaoge & Peng, Changhui & Shan, Yuli & Chen, Huai & Wang, Meng & Zhu, Qiuan, 2018. "Quantification and scenario analysis of CO2 emissions from the central heating supply system in China from 2006 to 2025," Applied Energy, Elsevier, vol. 225(C), pages 869-875.
    14. Yong Bian & Zhi Yu & Xuelan Zeng & Jingchun Feng & Chao He, 2018. "Achieving China’s Long-Term Carbon Emission Abatement Targets: A Perspective from Regional Disparity," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    15. Karmellos, M. & Kosmadakis, V. & Dimas, P. & Tsakanikas, A. & Fylaktos, N. & Taliotis, C. & Zachariadis, T., 2021. "A decomposition and decoupling analysis of carbon dioxide emissions from electricity generation: Evidence from the EU-27 and the UK," Energy, Elsevier, vol. 231(C).
    16. Niu, Shuwen & Liu, Yiyue & Ding, Yongxia & Qu, Wei, 2016. "China׳s energy systems transformation and emissions peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 782-795.
    17. Li, Hao & Zhao, Yuhuan & Qiao, Xiaoyong & Liu, Ya & Cao, Ye & Li, Yue & Wang, Song & Zhang, Zhonghua & Zhang, Yongfeng & Weng, Jianfeng, 2017. "Identifying the driving forces of national and regional CO2 emissions in China: Based on temporal and spatial decomposition analysis models," Energy Economics, Elsevier, vol. 68(C), pages 522-538.
    18. Jun Dong & Huijuan Huo & Sen Guo, 2016. "Demand Side Management Performance Evaluation for Commercial Enterprises," Sustainability, MDPI, vol. 8(10), pages 1-23, October.
    19. 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.
    20. Jun Dong & Huijuan Huo, 2017. "Identification of Financing Barriers to Energy Efficiency in Small and Medium-Sized Enterprises by Integrating the Fuzzy Delphi and Fuzzy DEMATEL Approaches," Energies, MDPI, vol. 10(8), pages 1-26, August.
    21. Zhang, Yan & Li, Yaoguang & Hubacek, Klaus & Tian, Xin & Lu, Zhongming, 2019. "Analysis of CO2 transfer processes involved in global trade based on ecological network analysis," Applied Energy, Elsevier, vol. 233, pages 576-583.
    22. Liang Liu & Lianshui Li, 2021. "The effect of directed technical change on carbon dioxide emissions: evidence from China’s industrial sector at the provincial level," 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 2463-2486, July.

  19. Lei Huang & Weiliang Bao & Kai Chen & Jun Bi, 2014. "The comparison analysis of Chinese public perception of earthquakes on different time scales," 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. 73(2), pages 613-625, September.

    Cited by:

    1. Peng Cheng & Jiuchang Wei & Yue Ge, 2017. "Who should be blamed? The attribution of responsibility for a city smog event 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. 85(2), pages 669-689, January.
    2. Ziqiang Han & Xiaoli Lu & Elisa I. Hörhager & Jubo Yan, 2017. "The effects of trust in government on earthquake survivors’ risk perception and preparedness 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. 86(1), pages 437-452, March.
    3. Xuemei Fang & Liang Cao & Luyi Zhang & Binbin Peng, 2023. "Risk perception and resistance behavior intention of residents living near chemical industry parks: an empirical analysis 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. 115(2), pages 1655-1675, January.

  20. Zhang, Yanxia & Wang, Haikun & Liang, Sai & Xu, Ming & Liu, Weidong & Li, Shalang & Zhang, Rongrong & Nielsen, Chris P. & Bi, Jun, 2014. "Temporal and spatial variations in consumption-based carbon dioxide emissions in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 60-68.

    Cited by:

    1. Zhao, Jincai & Ji, Guangxing & Yue, YanLin & Lai, Zhizhu & Chen, Yulong & Yang, Dongyang & Yang, Xu & Wang, Zheng, 2019. "Spatio-temporal dynamics of urban residential CO2 emissions and their driving forces in China using the integrated two nighttime light datasets," Applied Energy, Elsevier, vol. 235(C), pages 612-624.
    2. Xuankai Deng & Yanhua Yu & Yanfang Liu, 2015. "Temporal and Spatial Variations in Provincial CO 2 Emissions in China from 2005 to 2015 and Assessment of a Reduction Plan," Energies, MDPI, vol. 8(5), pages 1-23, May.
    3. Wang, Changjian & Wang, Fei & Zhang, Xinlin & Yang, Yu & Su, Yongxian & Ye, Yuyao & Zhang, Hongou, 2017. "Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 51-61.
    4. Qingwei Shi & Jingxin Gao & Xia Wang & Hong Ren & Weiguang Cai & Haifeng Wei, 2020. "Temporal and Spatial Variability of Carbon Emission Intensity of Urban Residential Buildings: Testing the Effect of Economics and Geographic Location in China," Sustainability, MDPI, vol. 12(7), pages 1-23, March.
    5. Jianghua Liu & Mengxu Li & Yitao Ding, 2021. "Econometric analysis of the impact of the urban population size on carbon dioxide (CO2) emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18186-18203, December.
    6. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    7. Chen, Lei & Xu, Linyu & Yang, Zhifeng, 2019. "Inequality of industrial carbon emissions of the urban agglomeration and its peripheral cities: A case in the Pearl River Delta, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 438-447.
    8. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    9. Qian Zhang & Jun Nakatani & Yuichi Moriguchi, 2015. "Compilation of an Embodied CO 2 Emission Inventory for China Using 135-Sector Input-Output Tables," Sustainability, MDPI, vol. 7(7), pages 1-17, June.
    10. Wang, Haikun & Zhang, Yanxia & Lu, Xi & Nielsen, Chris P. & Bi, Jun, 2015. "Understanding China׳s carbon dioxide emissions from both production and consumption perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 189-200.
    11. Xinlin Zhang & Yuan Zhao & Qi Sun & Changjian Wang, 2017. "Decomposition and Attribution Analysis of Industrial Carbon Intensity Changes in Xinjiang, China," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    12. Zhang, Bo & Qiao, H. & Chen, B., 2015. "Embodied energy uses by China’s four municipalities: A study based on multi-regional input–output model," Ecological Modelling, Elsevier, vol. 318(C), pages 138-149.
    13. Shi, Kaifang & Yu, Bailang & Zhou, Yuyu & Chen, Yun & Yang, Chengshu & Chen, Zuoqi & Wu, Jianping, 2019. "Spatiotemporal variations of CO2 emissions and their impact factors in China: A comparative analysis between the provincial and prefectural levels," Applied Energy, Elsevier, vol. 233, pages 170-181.
    14. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
    15. Jianbo Dong & Min Zhang & Guangbin Cheng, 2022. "Impacts of Upgrading of Consumption Structure and Human Capital Level on Carbon Emissions—Empirical Evidence Based on China’s Provincial Panel Data," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
    16. Wang, Heming & Wang, Guoqiang & Qi, Jianchuan & Schandl, Heinz & Li, Yumeng & Feng, Cuiyang & Yang, Xuechun & Wang, Yao & Wang, Xinzhe & Liang, Sai, 2020. "Scarcity-weighted fossil fuel footprint of China at the provincial level," Applied Energy, Elsevier, vol. 258(C).
    17. Zhang, Bo & Yang, T.R. & Chen, B. & Sun, X.D., 2016. "China’s regional CH4 emissions: Characteristics, interregional transfer and mitigation policies," Applied Energy, Elsevier, vol. 184(C), pages 1184-1195.
    18. Shen, Weiguo & Cao, Liu & Li, Qiu & Zhang, Wensheng & Wang, Guiming & Li, Chaochao, 2015. "Quantifying CO2 emissions from China’s cement industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1004-1012.
    19. Yang Ding & Qing Yang & Lanjuan Cao, 2021. "Examining the Impacts of Economic, Social, and Environmental Factors on the Relationship between Urbanization and CO 2 Emissions," Energies, MDPI, vol. 14(21), pages 1-23, November.
    20. Guo, Sen & Zhao, Huiru, 2015. "Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective," Applied Energy, Elsevier, vol. 158(C), pages 390-402.
    21. Zhaosu Meng & Huan Wang & Baona Wang, 2018. "Empirical Analysis of Carbon Emission Accounting and Influencing Factors of Energy Consumption in China," IJERPH, MDPI, vol. 15(11), pages 1-15, November.
    22. Ji Zheng & Yingjie Hu & Suocheng Dong & Yu Li, 2019. "The Spatiotemporal Pattern of Decoupling Transport CO 2 Emissions from Economic Growth across 30 Provinces in China," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    23. Min Huang & Yimin Chen & Yuanying Zhang, 2018. "Assessing Carbon Footprint and Inter-Regional Carbon Transfer in China Based on a Multi-Regional Input-Output Model," Sustainability, MDPI, vol. 10(12), pages 1-13, December.
    24. Zhang, Wen-Wen & Zhao, Bin & Ding, Dian & Sharp, Basil & Gu, Yu & Xu, Shi-Chun & Xing, Jia & Wang, Shu-Xiao & Liou, Kuo-Nan & Rao, Lan-Lan, 2021. "Co-benefits of subnationally differentiated carbon pricing policies in China: Alleviation of heavy PM2.5 pollution and improvement in environmental equity," Energy Policy, Elsevier, vol. 149(C).

  21. Wang, Hongsheng & Wang, Yunxia & Wang, Haikun & Liu, Miaomiao & Zhang, Yanxia & Zhang, Rongrong & Yang, Jie & Bi, Jun, 2014. "Mitigating greenhouse gas emissions from China's cities: Case study of Suzhou," Energy Policy, Elsevier, vol. 68(C), pages 482-489.

    Cited by:

    1. Briones Hidrovo, Andrei & Uche, Javier & Martínez-Gracia, Amaya, 2017. "Accounting for GHG net reservoir emissions of hydropower in Ecuador," Renewable Energy, Elsevier, vol. 112(C), pages 209-221.
    2. Fei Wang & Changjian Wang & Yongxian Su & Lixia Jin & Yang Wang & Xinlin Zhang, 2017. "Decomposition Analysis of Carbon Emission Factors from Energy Consumption in Guangdong Province from 1990 to 2014," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
    3. Feng, Tong & Lin, Zhongguo & Du, Huibin & Qiu, Yueming & Zuo, Jian, 2021. "Does low-carbon pilot city program reduce carbon intensity? Evidence from Chinese cities," Research in International Business and Finance, Elsevier, vol. 58(C).
    4. Vera, Sonia & Sauma, Enzo, 2015. "Does a carbon tax make sense in countries with still a high potential for energy efficiency? Comparison between the reducing-emissions effects of carbon tax and energy efficiency measures in the Chilean case," Energy, Elsevier, vol. 88(C), pages 478-488.
    5. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    6. Wang, Chen & Engels, Anita & Wang, Zhaohua, 2018. "Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1350-1364.
    7. Zhang, Jiawei & Liu, Miaomiao & Bi, Jun, 2022. "Urban greenhouse gas emission peaking paths and embedded health co-benefits: A multicases comparison study in China," Applied Energy, Elsevier, vol. 311(C).
    8. Vicente Sebastian Espinoza & Veronica Guayanlema & Javier Mart nez-G mez, 2018. "Energy Efficiency Plan Benefits in Ecuador: Long-range Energy Alternative Planning Model," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 52-54.
    9. Jinying Li & Jianfeng Shi & Jinchao Li, 2016. "Exploring Reduction Potential of Carbon Intensity Based on Back Propagation Neural Network and Scenario Analysis: A Case of Beijing, China," Energies, MDPI, vol. 9(8), pages 1-17, August.
    10. Wang, Lianghu & Wang, Zhao & Ma, Yatian, 2022. "Does environmental regulation promote the high-quality development of manufacturing? A quasi-natural experiment based on China's carbon emission trading pilot scheme," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    11. Liu, Feng & van den Bergh, Jeroen C.J.M., 2020. "Differences in CO2 emissions of solar PV production among technologies and regions: Application to China, EU and USA," Energy Policy, Elsevier, vol. 138(C).
    12. Cai, Bofeng & Lu, Jun & Wang, Jinnan & Dong, Huijuan & Liu, Xiaoman & Chen, Yang & Chen, Zhanming & Cong, Jianhui & Cui, Zhipeng & Dai, Chunyan & Fang, Kai & Feng, Tong & Guo, Jie & Li, Fen & Meng, Fa, 2019. "A benchmark city-level carbon dioxide emission inventory for China in 2005," Applied Energy, Elsevier, vol. 233, pages 659-673.
    13. Zhang, Pingdan & Yuan, Haoming & Bai, Fuli & Tian, Xin & Shi, Feng, 2018. "How do carbon dioxide emissions respond to industrial structural transitions? Empirical results from the northeastern provinces of China," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 145-154.
    14. Chen, Qianli & Cai, Bofeng & Dhakal, Shobhakar & Pei, Sha & Liu, Chunlan & Shi, Xiaoping & Hu, Fangfang, 2017. "CO2 emission data for Chinese cities," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 198-208.
    15. Zhang, Wei & Li, Ke & Zhou, Dequn & Zhang, Wenrui & Gao, Hui, 2016. "Decomposition of intensity of energy-related CO2 emission in Chinese provinces using the LMDI method," Energy Policy, Elsevier, vol. 92(C), pages 369-381.

  22. Liu, Beibei & Wang, Feng & Zhang, Bing & Bi, Jun, 2013. "Energy balance and GHG emissions of cassava-based fuel ethanol using different planting modes in China," Energy Policy, Elsevier, vol. 56(C), pages 210-220.

    Cited by:

    1. Morales, Marjorie & Quintero, Julián & Conejeros, Raúl & Aroca, Germán, 2015. "Life cycle assessment of lignocellulosic bioethanol: Environmental impacts and energy balance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1349-1361.
    2. Wang, Changbo & Zhang, Lixiao & Chang, Yuan & Pang, Mingyue, 2021. "Energy return on investment (EROI) of biomass conversion systems in China: Meta-analysis focused on system boundary unification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    3. Liu, Huacai & Huang, Yanqin & Yuan, Hongyou & Yin, Xiuli & Wu, Chuangzhi, 2018. "Life cycle assessment of biofuels in China: Status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 301-322.
    4. Yi Yang & Beibei Liu & Peng Wang & Wei‐Qiang Chen & Timothy M. Smith, 2020. "Toward sustainable climate change adaptation," Journal of Industrial Ecology, Yale University, vol. 24(2), pages 318-330, April.
    5. Zhang, Tingting & Xie, Xiaomin & Huang, Zhen, 2017. "The policy recommendations on cassava ethanol in China: Analyzed from the perspective of life cycle “2E&W”," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 12-24.
    6. Ye, Fei & Li, Yina & Lin, Qiang & Zhan, Yuanzhu, 2017. "Modeling of China's cassava-based bioethanol supply chain operation and coordination," Energy, Elsevier, vol. 120(C), pages 217-228.
    7. Sánchez, Antonio Santos & Silva, Yuri Lopes & Kalid, Ricardo Araújo & Cohim, Eduardo & Torres, Ednildo Andrade, 2017. "Waste bio-refineries for the cassava starch industry: New trends and review of alternatives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1265-1275.
    8. Li, Junjie & Cheng, Wanjing, 2020. "Comparison of life-cycle energy consumption, carbon emissions and economic costs of coal to ethanol and bioethanol," Applied Energy, Elsevier, vol. 277(C).
    9. Magdalena Zdeb & Marta Bis & Artur Przywara, 2023. "Multi-Criteria Analysis of the Influence of Lignocellulosic Biomass Pretreatment Techniques on Methane Production," Energies, MDPI, vol. 16(1), pages 1-14, January.
    10. Zhang, XiaoHong & Pan, HengYu & Cao, Jun & Li, JinRong, 2015. "Energy consumption of China’s crop production system and the related emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 111-125.
    11. Naseri, Hakim & Parashkoohi, Mohammad Gholami & Ranjbar, Iraj & Zamani, Davood Mohammad, 2021. "Energy-economic and life cycle assessment of sugarcane production in different tillage systems," Energy, Elsevier, vol. 217(C).
    12. Arora, Richa & Behera, Shuvashish & Kumar, Sachin, 2015. "Bioprospecting thermophilic/thermotolerant microbes for production of lignocellulosic ethanol: A future perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 699-717.

  23. Jun Bi & Qinqin Chen & Ling Zhang & Zengwei Yuan, 2013. "Quantifying Phosphorus Flow Pathways Through Socioeconomic Systems at the County Level in China," Journal of Industrial Ecology, Yale University, vol. 17(3), pages 452-460, June.

    Cited by:

    1. Zheng Guo & Sophia Shuang Chen & Chuanhe Xiong & Anna Charles Mkumbo & Qun Gao & Qiushi Shen & Giri R. Kattel, 2024. "Conjoint analysis of nitrogen and phosphorus metabolism in urban system: A case study of Dar es Salaam, Tanzania," Journal of Industrial Ecology, Yale University, vol. 28(4), pages 768-782, August.
    2. Wu, Jiechen & Franzén, Daniel & Malmström, Maria E., 2016. "Nutrient flows following changes in source strengths, land use and climate in an urban catchment, Råcksta Träsk in Stockholm, Sweden," Ecological Modelling, Elsevier, vol. 338(C), pages 69-77.

  24. Wang, Hongsheng & Lei, Yue & Wang, Haikun & Liu, Miaomiao & Yang, Jie & Bi, Jun, 2013. "Carbon reduction potentials of China's industrial parks: A case study of Suzhou Industry Park," Energy, Elsevier, vol. 55(C), pages 668-675.

    Cited by:

    1. Yan, Kun & Gao, Hanbo & Liu, Rui & Lyu, Yizheng & Wan, Mei & Tian, Jinping & Chen, Lyujun, 2024. "Review on low-carbon development in Chinese industrial parks driven by bioeconomy strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    2. Huang, Beijia & Jiang, Ping & Wang, Shaoping & Zhao, Juan & Wu, Luchao, 2016. "Low carbon innovation and practice in Caohejing High-Tech Industrial Park of Shanghai," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 367-373.
    3. Zhang, Anshan & Wang, Feiliang & Li, Huanyu & Pang, Bo & Yang, Jian, 2024. "Carbon emissions accounting and estimation of carbon reduction potential in the operation phase of residential areas based on digital twin," Applied Energy, Elsevier, vol. 376(PB).
    4. Zhengbo Li & Feng Deng & Qiaoqiao Zhu & Li Cao & Yunyan Jiang, 2022. "Do the Chinese Government’s Efforts to Make a Low-Carbon Industrial Transition Hinder or Promote the Economic Development? Evidence from Low-Carbon Industrial Parks Pilot Policy," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    5. Yu, Xiang & Chen, Hongbo & Wang, Bo & Wang, Ran & Shan, Yuli, 2018. "Driving forces of CO2 emissions and mitigation strategies of China’s National low carbon pilot industrial parks," Applied Energy, Elsevier, vol. 212(C), pages 1553-1562.
    6. Xue, Ruoyu & Wang, Shanshan & Long, Wenqi & Gao, Gengyu & Liu, Donghui & Zhang, Ruiqin, 2021. "Uncovering GHG emission characteristics of industrial parks in Central China via emission inventory and cluster analysis," Energy Policy, Elsevier, vol. 151(C).
    7. Wang, Juan & Zhang, Kezhong, 2014. "Convergence of carbon dioxide emissions in different sectors in China," Energy, Elsevier, vol. 65(C), pages 605-611.
    8. Wang, Chen & Engels, Anita & Wang, Zhaohua, 2018. "Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1350-1364.
    9. Dong, Huijuan & Ohnishi, Satoshi & Fujita, Tsuyoshi & Geng, Yong & Fujii, Minoru & Dong, Liang, 2014. "Achieving carbon emission reduction through industrial & urban symbiosis: A case of Kawasaki," Energy, Elsevier, vol. 64(C), pages 277-286.
    10. Yuheng Sun & Zhengyuan Feng & Fangtao Liu & Yuanhang Li & Jun Ning & Hang Fu & Shoujuan Tang & Guangxin Liu & Yang Li & Lei Shi, 2024. "Carbon Neutrality Pathways for Industrial Parks and Reduction Potential Based on Text Analysis and Empirical Research," Sustainability, MDPI, vol. 16(23), pages 1-15, December.
    11. Jianmin You & Xiqiang Chen & Jindao Chen, 2021. "Decomposition of Industrial Electricity Efficiency and Electricity-Saving Potential of Special Economic Zones in China Considering the Heterogeneity of Administrative Hierarchy and Regional Location," Energies, MDPI, vol. 14(17), pages 1-22, September.
    12. Jian Zhang & Jingyang Liu & Li Dong & Qi Qiao, 2022. "CO 2 Emissions Inventory and Its Uncertainty Analysis of China’s Industrial Parks: A Case Study of the Maanshan Economic and Technological Development Area," IJERPH, MDPI, vol. 19(18), pages 1-14, September.

  25. Liu, Beibei & Wang, Feng & Yunze, Wu & Jun, Bi & Maoliang, Bu & Gao, Juan, 2012. "Life cycle implication of the potential commercialization of stover-based E85 in China," Energy Policy, Elsevier, vol. 43(C), pages 371-380.

    Cited by:

    1. Liu, Huacai & Huang, Yanqin & Yuan, Hongyou & Yin, Xiuli & Wu, Chuangzhi, 2018. "Life cycle assessment of biofuels in China: Status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 301-322.
    2. Yujun Yuan & Tong Li & Qiang Zhai, 2020. "Life Cycle Impact Assessment of Garbage-Classification Based Municipal Solid Waste Management Systems: A Comparative Case Study in China," IJERPH, MDPI, vol. 17(15), pages 1-20, July.
    3. Liu, Beibei & Wang, Feng & Zhang, Bing & Bi, Jun, 2013. "Energy balance and GHG emissions of cassava-based fuel ethanol using different planting modes in China," Energy Policy, Elsevier, vol. 56(C), pages 210-220.

  26. Liu, Beibei & He, Pan & Zhang, Bing & Bi, Jun, 2012. "Impacts of alternative allowance allocation methods under a cap-and-trade program in power sector," Energy Policy, Elsevier, vol. 47(C), pages 405-415.

    Cited by:

    1. Zhang, Hui & Zhang, Bing, 2020. "The unintended impact of carbon trading of China's power sector," Energy Policy, Elsevier, vol. 147(C).
    2. Bing Zhang & Yongliang Zhang, 2016. "Policy Conflicts and the Performance of Emissions Trading Markets: An Adaptive Agent-based Analysis," EEPSEA Research Report rr20160339, Economy and Environment Program for Southeast Asia (EEPSEA), revised Mar 2016.
    3. Wang, Baixue & Duan, Maosheng, 2022. "Consignment auctions of emissions trading systems: An agent-based approach based on China’s practice," Energy Economics, Elsevier, vol. 112(C).
    4. Liu, Liwei & Sun, Xiaoru & Chen, Chuxiang & Zhao, Erdong, 2016. "How will auctioning impact on the carbon emission abatement cost of electric power generation sector in China?," Applied Energy, Elsevier, vol. 168(C), pages 594-609.
    5. Burtraw, Dallas & McCormack, Kristen, 2017. "Consignment auctions of free emissions allowances," Energy Policy, Elsevier, vol. 107(C), pages 337-344.

  27. Zhou, Yuanchun & Zhang, Bing & Zou, Ji & Bi, Jun & Wang, Ke, 2012. "Joint R&D in low-carbon technology development in China: A case study of the wind-turbine manufacturing industry," Energy Policy, Elsevier, vol. 46(C), pages 100-108.

    Cited by:

    1. Diógenes, Jamil Ramsi Farkat & Claro, João & Rodrigues, José Coelho, 2019. "Barriers to onshore wind farm implementation in Brazil," Energy Policy, Elsevier, vol. 128(C), pages 253-266.
    2. Fan, Xiao-chao & Wang, Wei-qing, 2016. "Spatial patterns and influencing factors of China׳s wind turbine manufacturing industry: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 482-496.
    3. Jongjin Sohn & Jongseon Lee & Nami Kim, 2020. "Going Green Inside and Out: Corporate Environmental Responsibility and Financial Performance under Regulatory Stringency," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    4. Qiu, Yueming & Ortolano, Leonard & David Wang, Yi, 2013. "Factors influencing the technology upgrading and catch-up of Chinese wind turbine manufacturers: Technology acquisition mechanisms and government policies," Energy Policy, Elsevier, vol. 55(C), pages 305-316.
    5. Yu, Yang & Li, Hong & Che, Yuyuan & Zheng, Qiongjie, 2017. "The price evolution of wind turbines in China: A study based on the modified multi-factor learning curve," Renewable Energy, Elsevier, vol. 103(C), pages 522-536.
    6. Wang, Chen & Engels, Anita & Wang, Zhaohua, 2018. "Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1350-1364.
    7. Liu, Yong, 2014. "Barriers to the adoption of low carbon production: A multiple-case study of Chinese industrial firms," Energy Policy, Elsevier, vol. 67(C), pages 412-421.
    8. Zhou, Wenwen & shi, Yu & Zhao, Tian & Cao, Ximeng & Li, Jialin, 2024. "Government regulation, horizontal coopetition, and low-carbon technology innovation: A tripartite evolutionary game analysis of government and homogeneous energy enterprises," Energy Policy, Elsevier, vol. 184(C).
    9. Lacal-Arántegui, Roberto, 2019. "Globalization in the wind energy industry: contribution and economic impact of European companies," Renewable Energy, Elsevier, vol. 134(C), pages 612-628.
    10. Kang, Moon Jung & Hwang, Jongwoon, 2016. "Structural dynamics of innovation networks funded by the European Union in the context of systemic innovation of the renewable energy sector," Energy Policy, Elsevier, vol. 96(C), pages 471-490.
    11. Lam, J.C.K. & Woo, C.K. & Kahrl, F. & Yu, W.K., 2013. "What moves wind energy development in China? Show me the money!," Applied Energy, Elsevier, vol. 105(C), pages 423-429.

  28. Ling Zhang & Zengwei Yuan & Jun Bi, 2012. "Estimation of Copper In‐use Stocks in Nanjing, China," Journal of Industrial Ecology, Yale University, vol. 16(2), pages 191-202, April.

    Cited by:

    1. Wang, Minxi & Chen, Wu & Zhou, Yang & Li, Xin, 2017. "Assessment of potential copper scrap in China and policy recommendation," Resources Policy, Elsevier, vol. 52(C), pages 235-244.
    2. 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).
    3. Zhang, Ling & Cai, Zhijian & Yang, Jiameng & Chen, Yan & Yuan, Zengwei, 2014. "Quantification and spatial characterization of in-use copper stocks in Shanghai," Resources, Conservation & Recycling, Elsevier, vol. 93(C), pages 134-143.
    4. Dai, Tiejun & Yue, Zhongchun, 2023. "The evolution and decoupling of in-use stocks in Beijing," Ecological Economics, Elsevier, vol. 203(C).
    5. Yue, Qiang & Wang, Heming & Gao, Chengkang & Du, Tao & Li, Mingjun & Lu, Zhongwu, 2016. "Analysis of iron in-use stocks in China," Resources Policy, Elsevier, vol. 49(C), pages 315-322.
    6. Ulrich Kral & Chih-Yi Lin & Katharina Kellner & Hwong-wen Ma & Paul H. Brunner, 2014. "The Copper Balance of Cities," Journal of Industrial Ecology, Yale University, vol. 18(3), pages 432-444, May.
    7. Chen, Wu & Wang, Minxi & Li, Xin, 2016. "Analysis of copper flows in the United States: 1975–2012," Resources, Conservation & Recycling, Elsevier, vol. 111(C), pages 67-76.

  29. Liu, Lingxuan & Zhang, Bing & Bi, Jun & Wei, Qi & He, Pan, 2012. "The greenhouse gas mitigation of industrial parks in China: A case study of Suzhou Industrial Park," Energy Policy, Elsevier, vol. 46(C), pages 301-307.

    Cited by:

    1. Yan, Kun & Gao, Hanbo & Liu, Rui & Lyu, Yizheng & Wan, Mei & Tian, Jinping & Chen, Lyujun, 2024. "Review on low-carbon development in Chinese industrial parks driven by bioeconomy strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    2. Yue Han & Xiaosan Ge, 2023. "Spatial–Temporal Characteristics and Influencing Factors on Carbon Emissions from Land Use in Suzhou, the World’s Largest Industrial City in China," Sustainability, MDPI, vol. 15(18), pages 1-18, September.
    3. Zhang, Anshan & Wang, Feiliang & Li, Huanyu & Pang, Bo & Yang, Jian, 2024. "Carbon emissions accounting and estimation of carbon reduction potential in the operation phase of residential areas based on digital twin," Applied Energy, Elsevier, vol. 376(PB).
    4. Yi Yang & Beibei Liu & Peng Wang & Wei‐Qiang Chen & Timothy M. Smith, 2020. "Toward sustainable climate change adaptation," Journal of Industrial Ecology, Yale University, vol. 24(2), pages 318-330, April.
    5. Liu, Zhe & Adams, Michelle & Cote, Raymond P. & Geng, Yong & Chen, Qinghua & Liu, Weili & Sun, Lu & Yu, Xiaoman, 2017. "Comprehensive development of industrial symbiosis for the response of greenhouse gases emission mitigation: Challenges and opportunities in China," Energy Policy, Elsevier, vol. 102(C), pages 88-95.
    6. Feng, Jing-Chun & Yan, Jinyue & Yu, Zhi & Zeng, Xuelan & Xu, Weijia, 2018. "Case study of an industrial park toward zero carbon emission," Applied Energy, Elsevier, vol. 209(C), pages 65-78.
    7. Liu, Zhe & Adams, Michelle & Cote, Raymond P. & Geng, Yong & Ren, Jingzheng & Chen, Qinghua & Liu, Weili & Zhu, Xuesong, 2018. "Co-benefits accounting for the implementation of eco-industrial development strategies in the scale of industrial park based on emergy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1522-1529.
    8. Li, Ximei & Gao, Jianmin & You, Shi & Zheng, Yi & Zhang, Yu & Du, Qian & Xie, Min & Qin, Yukun, 2022. "Optimal design and techno-economic analysis of renewable-based multi-carrier energy systems for industries: A case study of a food factory in China," Energy, Elsevier, vol. 244(PB).
    9. Gengyu Gao & Min Zhang & Shanshan Wang & Can Wang & RuiQin Zhang, 2022. "Assessment of pollutant emissions reduction potential of energy infrastructure in industrial parks of Henan Province," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8071-8091, June.
    10. Wang, Hongsheng & Lei, Yue & Wang, Haikun & Liu, Miaomiao & Yang, Jie & Bi, Jun, 2013. "Carbon reduction potentials of China's industrial parks: A case study of Suzhou Industry Park," Energy, Elsevier, vol. 55(C), pages 668-675.
    11. Yu, Xiang & Chen, Hongbo & Wang, Bo & Wang, Ran & Shan, Yuli, 2018. "Driving forces of CO2 emissions and mitigation strategies of China’s National low carbon pilot industrial parks," Applied Energy, Elsevier, vol. 212(C), pages 1553-1562.
    12. Xue, Ruoyu & Wang, Shanshan & Long, Wenqi & Gao, Gengyu & Liu, Donghui & Zhang, Ruiqin, 2021. "Uncovering GHG emission characteristics of industrial parks in Central China via emission inventory and cluster analysis," Energy Policy, Elsevier, vol. 151(C).
    13. Ai, Hongshan & Xiang, Lin & Tan, Xiaoqing & Yao, Haorui & Han, Li, 2024. "The effects of place-based information technology policy on digital finance development: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 521-544.
    14. Dong, Huijuan & Ohnishi, Satoshi & Fujita, Tsuyoshi & Geng, Yong & Fujii, Minoru & Dong, Liang, 2014. "Achieving carbon emission reduction through industrial & urban symbiosis: A case of Kawasaki," Energy, Elsevier, vol. 64(C), pages 277-286.
    15. Cheng, Qi & Yang, Jun, 2024. "Is green place-based policy effective in mitigating pollution? Firm-level evidence from China," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 530-547.
    16. Jianmin You & Xiqiang Chen & Jindao Chen, 2021. "Decomposition of Industrial Electricity Efficiency and Electricity-Saving Potential of Special Economic Zones in China Considering the Heterogeneity of Administrative Hierarchy and Regional Location," Energies, MDPI, vol. 14(17), pages 1-22, September.
    17. Xiangsheng Dou & Huanying Cui, 2017. "Low-carbon society creation and socio-economic structural transition in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(5), pages 1577-1599, October.
    18. Geng, Yong & Tian, Xu & Sarkis, Joseph & Ulgiati, Sergio, 2017. "China-USA Trade: Indicators for Equitable and Environmentally Balanced Resource Exchange," Ecological Economics, Elsevier, vol. 132(C), pages 245-254.
    19. Jian Zhang & Jingyang Liu & Li Dong & Qi Qiao, 2022. "CO 2 Emissions Inventory and Its Uncertainty Analysis of China’s Industrial Parks: A Case Study of the Maanshan Economic and Technological Development Area," IJERPH, MDPI, vol. 19(18), pages 1-14, September.

  30. Zhang, Ling & Yuan, Zengwei & Bi, Jun, 2011. "Predicting future quantities of obsolete household appliances in Nanjing by a stock-based model," Resources, Conservation & Recycling, Elsevier, vol. 55(11), pages 1087-1094.

    Cited by:

    1. Dou, Yijie & Sarkis, Joseph, 2013. "A multiple stakeholder perspective on barriers to implementing China RoHS regulations," Resources, Conservation & Recycling, Elsevier, vol. 81(C), pages 92-104.

  31. Wang, Haikun & Fu, Lixin & Bi, Jun, 2011. "CO2 and pollutant emissions from passenger cars in China," Energy Policy, Elsevier, vol. 39(5), pages 3005-3011, May.

    Cited by:

    1. Hao, Han & Liu, Zongwei & Zhao, Fuquan & Li, Weiqi & Hang, Wen, 2015. "Scenario analysis of energy consumption and greenhouse gas emissions from China's passenger vehicles," Energy, Elsevier, vol. 91(C), pages 151-159.
    2. Roozbeh Jalali & Seama Koohi-Fayegh & Khalil El-Khatib & Daniel Hoornweg & Heng Li, 2017. "Investigating the Potential of Ridesharing to Reduce Vehicle Emissions," Urban Planning, Cogitatio Press, vol. 2(2), pages 26-40.
    3. Jialin Liu & Yi Zhu & Qun Zhang & Fangyan Cheng & Xi Hu & Xinhong Cui & Lang Zhang & Zhenglin Sun, 2020. "Transportation Carbon Emissions from a Perspective of Sustainable Development in Major Cities of Yangtze River Delta, China," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    4. Firnkorn, Jörg, 2012. "Triangulation of two methods measuring the impacts of a free-floating carsharing system in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1654-1672.
    5. Li, Peilin & Zhao, Pengjun & Brand, Christian, 2018. "Future energy use and CO2 emissions of urban passenger transport in China: A travel behavior and urban form based approach," Applied Energy, Elsevier, vol. 211(C), pages 820-842.
    6. Bi, Jun & Zhang, Rongrong & Wang, Haikun & Liu, Miaomiao & Wu, Yi, 2011. "The benchmarks of carbon emissions and policy implications for China's cities: Case of Nanjing," Energy Policy, Elsevier, vol. 39(9), pages 4785-4794, September.
    7. Liu, Xue & Ma, Shoufeng & Tian, Junfang & Jia, Ning & Li, Geng, 2015. "A system dynamics approach to scenario analysis for urban passenger transport energy consumption and CO2 emissions: A case study of Beijing," Energy Policy, Elsevier, vol. 85(C), pages 253-270.
    8. Yuan, Xueliang & Liu, Xin & Zuo, Jian, 2015. "The development of new energy vehicles for a sustainable future: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 298-305.
    9. Huo, Hong & Wang, Michael & Zhang, Xiliang & He, Kebin & Gong, Huiming & Jiang, Kejun & Jin, Yuefu & Shi, Yaodong & Yu, Xin, 2012. "Projection of energy use and greenhouse gas emissions by motor vehicles in China: Policy options and impacts," Energy Policy, Elsevier, vol. 43(C), pages 37-48.
    10. Lei Wen & Anqi Wang, 2023. "System dynamics model of Beijing urban public transport carbon emissions based on carbon neutrality target," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12681-12706, November.
    11. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Peak of CO2 emissions in various sectors and provinces of China: Recent progress and avenues for further research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 813-833.
    12. Hao, Han & Wang, Hewu & Ouyang, Minggao, 2011. "Fuel conservation and GHG (Greenhouse gas) emissions mitigation scenarios for China’s passenger vehicle fleet," Energy, Elsevier, vol. 36(11), pages 6520-6528.
    13. Zhang, Shaojun & Wu, Ye & Liu, Huan & Huang, Ruikun & Un, Puikei & Zhou, Yu & Fu, Lixin & Hao, Jiming, 2014. "Real-world fuel consumption and CO2 (carbon dioxide) emissions by driving conditions for light-duty passenger vehicles in China," Energy, Elsevier, vol. 69(C), pages 247-257.
    14. Weiwei Chen & Maozeng Xu & Qingsong Xing & Ligang Cui & Liudan Jiao, 2020. "A Fuzzy Demand-Profit Model for the Sustainable Development of Electric Vehicles in China from the Perspective of Three-Level Service Chain," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    15. Roozbeh Jalali & Seama Koohi-Fayegh & Khalil El-Khatib & Daniel Hoornweg & Heng Li, 2017. "Investigating the Potential of Ridesharing to Reduce Vehicle Emissions," Urban Planning, Cogitatio Press, vol. 2(2), pages 26-40.
    16. Ying Zhu & Tianhao Cui & Yanzheng Liu & Qin Zhou & Yexin Li, 2021. "Research on Inter-Provincial Transfer of CO 2 Emissions from Transportation by Considering Fuzzy Parameter," Sustainability, MDPI, vol. 13(13), pages 1-22, July.
    17. Guo, Bin & Geng, Yong & Franke, Bernd & Hao, Han & Liu, Yaxuan & Chiu, Anthony, 2014. "Uncovering China’s transport CO2 emission patterns at the regional level," Energy Policy, Elsevier, vol. 74(C), pages 134-146.
    18. Li, Yu & Zheng, Ji & Li, Zehong & Yuan, Liang & Yang, Yang & Li, Fujia, 2017. "Re-estimating CO2 emission factors for gasoline passenger cars adding driving behaviour characteristics——A case study of Beijing," Energy Policy, Elsevier, vol. 102(C), pages 353-361.

  32. Yuan, Zengwei & Liu, Xin & Wu, Huijun & Zhang, Ling & Bi, Jun, 2011. "Anthropogenic phosphorus flow analysis of Lujiang County, Anhui Province, Central China," Ecological Modelling, Elsevier, vol. 222(8), pages 1534-1543.

    Cited by:

    1. Li, Guohua & van Ittersum, Martin K. & Leffelaar, Peter A. & Sattari, Sheida Z. & Li, Haigang & Huang, Gaoqiang & Zhang, Fusuo, 2016. "A multi-level analysis of China's phosphorus flows to identify options for improved management in agriculture," Agricultural Systems, Elsevier, vol. 144(C), pages 87-100.
    2. Zheng Guo & Sophia Shuang Chen & Chuanhe Xiong & Anna Charles Mkumbo & Qun Gao & Qiushi Shen & Giri R. Kattel, 2024. "Conjoint analysis of nitrogen and phosphorus metabolism in urban system: A case study of Dar es Salaam, Tanzania," Journal of Industrial Ecology, Yale University, vol. 28(4), pages 768-782, August.
    3. Chowdhury, Rubel Biswas & Moore, Graham A. & Weatherley, Anthony J. & Arora, Meenakshi, 2014. "A review of recent substance flow analyses of phosphorus to identify priority management areas at different geographical scales," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 213-228.
    4. Chowdhury, Rubel Biswas & Moore, Graham A. & Weatherley, Anthony J., 2018. "A multi-year phosphorus flow analysis of a key agricultural region in Australia to identify options for sustainable management," Agricultural Systems, Elsevier, vol. 161(C), pages 42-60.
    5. Gao, Chengkang & Zhang, Shuaibing & Song, Kaihui & Na, Hongming & Tian, Fan & Zhang, Menghui & Gao, Wengang, 2018. "Conjoint analysis of nitrogen, phosphorus and sulfur metabolism: A case study of Liaoning Province, China," Ecological Modelling, Elsevier, vol. 390(C), pages 70-78.
    6. Egle, L. & Zoboli, O. & Thaler, S. & Rechberger, H. & Zessner, M., 2014. "The Austrian P budget as a basis for resource optimization," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 152-162.

  33. Bi, Jun & Zhang, Rongrong & Wang, Haikun & Liu, Miaomiao & Wu, Yi, 2011. "The benchmarks of carbon emissions and policy implications for China's cities: Case of Nanjing," Energy Policy, Elsevier, vol. 39(9), pages 4785-4794, September.

    Cited by:

    1. Yan, Kun & Gao, Hanbo & Liu, Rui & Lyu, Yizheng & Wan, Mei & Tian, Jinping & Chen, Lyujun, 2024. "Review on low-carbon development in Chinese industrial parks driven by bioeconomy strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    2. Feng, Y.Y. & Chen, S.Q. & Zhang, L.X., 2013. "System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China," Ecological Modelling, Elsevier, vol. 252(C), pages 44-52.
    3. Liu, Zhu & Geng, Yong & Lindner, Soeren & Guan, Dabo, 2012. "Uncovering China’s greenhouse gas emission from regional and sectoral perspectives," Energy, Elsevier, vol. 45(1), pages 1059-1068.
    4. Song, Qingbin & Li, Jinhui & Duan, Huabo & Yu, Danfeng & Wang, Zhishi, 2017. "Towards to sustainable energy-efficient city: A case study of Macau," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 504-514.
    5. Guo, Bin & Geng, Yong & Dong, Huijuan & Liu, Yaxuan, 2016. "Energy-related greenhouse gas emission features in China’s energy supply region: the case of Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 15-24.
    6. Changjian Wang & Fei Wang & Gengzhi Huang & Yang Wang & Xinlin Zhang & Yuyao Ye & Xiaojie Lin & Zhongwu Zhang, 2021. "Examining the Dynamics and Determinants of Energy Consumption in China’s Megacity Based on Industrial and Residential Perspectives," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
    7. Geng, Yong & Zhao, Hongyan & Liu, Zhu & Xue, Bing & Fujita, Tsuyoshi & Xi, Fengming, 2013. "Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning," Energy Policy, Elsevier, vol. 60(C), pages 820-826.
    8. Wang, Hongsheng & Wang, Yunxia & Wang, Haikun & Liu, Miaomiao & Zhang, Yanxia & Zhang, Rongrong & Yang, Jie & Bi, Jun, 2014. "Mitigating greenhouse gas emissions from China's cities: Case study of Suzhou," Energy Policy, Elsevier, vol. 68(C), pages 482-489.
    9. Xing Zhou & Meihua Zhou & Ming Zhang, 2016. "Contrastive analyses of the influence factors of interprovincial carbon emission induced by industry energy 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. 81(3), pages 1405-1433, April.
    10. Ming Meng & Manyu Li, 2020. "Decomposition Analysis and Trend Prediction of CO 2 Emissions in China’s Transportation Industry," Sustainability, MDPI, vol. 12(7), pages 1-20, March.
    11. Xuecheng Wang & Xu Tang & Zhenhua Feng & Yi Zhang, 2019. "Characterizing the Embodied Carbon Emissions Flows and Ecological Relationships among Four Chinese Megacities and Other Provinces," Sustainability, MDPI, vol. 11(9), pages 1-19, May.
    12. Jagriti Singh & Krishan Kumar Pandey & Anil Kumar & Farheen Naz & Sunil Luthra, 2023. "Drivers, barriers and practices of net zero economy: An exploratory knowledge based supply chain multi-stakeholder perspective framework," Operations Management Research, Springer, vol. 16(3), pages 1059-1090, September.
    13. Wang, Hongsheng & Lei, Yue & Wang, Haikun & Liu, Miaomiao & Yang, Jie & Bi, Jun, 2013. "Carbon reduction potentials of China's industrial parks: A case study of Suzhou Industry Park," Energy, Elsevier, vol. 55(C), pages 668-675.
    14. Li, Zheng & Chang, Shiyao & Ma, Linwei & Liu, Pei & Zhao, Lingxiao & Yao, Qiang, 2012. "The development of low-carbon towns in China: Concepts and practices," Energy, Elsevier, vol. 47(1), pages 590-599.
    15. Dulal, Hari Bansha & Shah, Kalim U. & Sapkota, Chandan & Uma, Gengaiah & Kandel, Bibek R., 2013. "Renewable energy diffusion in Asia: Can it happen without government support?," Energy Policy, Elsevier, vol. 59(C), pages 301-311.
    16. Larson, William & Liu, Feng & Yezer, Anthony, 2012. "Energy footprint of the city: Effects of urban land use and transportation policies," Journal of Urban Economics, Elsevier, vol. 72(2), pages 147-159.
    17. Xiaohong Jiang & Jianxiao Ma & Huizhe Zhu & Xiucheng Guo & Zhaoguo Huang, 2020. "Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China," IJERPH, MDPI, vol. 17(22), pages 1-19, November.
    18. Wang, Chen & Engels, Anita & Wang, Zhaohua, 2018. "Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1350-1364.
    19. Li, J.S. & Chen, G.Q., 2013. "Energy and greenhouse gas emissions review for Macao," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 23-32.
    20. Shi, Kaifang & Chen, Yun & Yu, Bailang & Xu, Tingbao & Chen, Zuoqi & Liu, Rui & Li, Linyi & Wu, Jianping, 2016. "Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis," Applied Energy, Elsevier, vol. 168(C), pages 523-533.
    21. Zhang, Jiawei & Liu, Miaomiao & Bi, Jun, 2022. "Urban greenhouse gas emission peaking paths and embedded health co-benefits: A multicases comparison study in China," Applied Energy, Elsevier, vol. 311(C).
    22. Li, J.S. & Chen, G.Q. & Lai, T.M. & Ahmad, B. & Chen, Z.M. & Shao, L. & Ji, Xi, 2013. "Embodied greenhouse gas emission by Macao," Energy Policy, Elsevier, vol. 59(C), pages 819-833.
    23. Yang, Dewei & Liu, Dandan & Huang, Anmin & Lin, Jianyi & Xu, Lingxing, 2021. "Critical transformation pathways and socio-environmental benefits of energy substitution using a LEAP scenario modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    24. Huo, Weidong & Qi, Jie & Yang, Tong & Liu, Jialu & Liu, Miaomiao & Zhou, Ziqi, 2022. "Effects of China's pilot low-carbon city policy on carbon emission reduction: A quasi-natural experiment based on satellite data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    25. Tian, Xu & Geng, Yong & Viglia, Silvio & Bleischwitz, Raimund & Buonocore, Elvira & Ulgiati, Sergio, 2017. "Regional disparities in the Chinese economy. An emergy evaluation of provincial international trade," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 1-11.
    26. Dong, Di & An, Haizhong & Huang, Shupei, 2017. "The transfer of embodied carbon in copper international trade: An industry chain perspective," Resources Policy, Elsevier, vol. 52(C), pages 173-180.
    27. Wang, Saige & Chen, Bin, 2018. "Three-Tier carbon accounting model for cities," Applied Energy, Elsevier, vol. 229(C), pages 163-175.
    28. Yuan Yuan & Ping Xu & Hui Zhang, 2023. "Spatial Zoning of Carbon Dioxide Emissions at the Intra-City Level: A Case Study of Nanjing, China," IJERPH, MDPI, vol. 20(5), pages 1-19, February.
    29. Shih-Fang Lo & Mei-Ching Chang, 2014. "Regional Pilot Carbon Emissions Trading and its Prospects in China," Energy & Environment, , vol. 25(5), pages 899-913, July.
    30. Shihong Guo & Qijiao Song & Ye Qi, 2021. "Innovation or implementation? Local response to low‐carbon policy experimentation in China," Review of Policy Research, Policy Studies Organization, vol. 38(5), pages 555-569, September.
    31. Ye, Bin & Jiang, JingJing & Li, Changsheng & Miao, Lixin & Tang, Jie, 2017. "Quantification and driving force analysis of provincial-level carbon emissions in China," Applied Energy, Elsevier, vol. 198(C), pages 223-238.
    32. Hao, Han & Geng, Yong & Wang, Hewu & Ouyang, Minggao, 2014. "Regional disparity of urban passenger transport associated GHG (greenhouse gas) emissions in China: A review," Energy, Elsevier, vol. 68(C), pages 783-793.
    33. Cai, Bofeng & Lu, Jun & Wang, Jinnan & Dong, Huijuan & Liu, Xiaoman & Chen, Yang & Chen, Zhanming & Cong, Jianhui & Cui, Zhipeng & Dai, Chunyan & Fang, Kai & Feng, Tong & Guo, Jie & Li, Fen & Meng, Fa, 2019. "A benchmark city-level carbon dioxide emission inventory for China in 2005," Applied Energy, Elsevier, vol. 233, pages 659-673.
    34. Chen, Qianli & Cai, Bofeng & Dhakal, Shobhakar & Pei, Sha & Liu, Chunlan & Shi, Xiaoping & Hu, Fangfang, 2017. "CO2 emission data for Chinese cities," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 198-208.
    35. Yan, Junna & Zhao, Tao & Kang, Jidong, 2016. "Sensitivity analysis of technology and supply change for CO2 emission intensity of energy-intensive industries based on input–output model," Applied Energy, Elsevier, vol. 171(C), pages 456-467.
    36. Gazi Mahabubul Alam & Samsilah Roslan & Abul Quasem Al-Amin & Walter Leal Filho, 2021. "Does GATS’ Influence on Private University Sector’s Growth Ensure ESD or Develop City ‘Sustainability Crisis’—Policy Framework to Respond COP21," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    37. Wang, Miao & Feng, Chao, 2018. "Investigating the drivers of energy-related CO2 emissions in China’s industrial sector: From regional and provincial perspectives," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 136-147.
    38. Liu, Zhu & Liang, Sai & Geng, Yong & Xue, Bing & Xi, Fengming & Pan, Ying & Zhang, Tianzhu & Fujita, Tsuyoshi, 2012. "Features, trajectories and driving forces for energy-related GHG emissions from Chinese mega cites: The case of Beijing, Tianjin, Shanghai and Chongqing," Energy, Elsevier, vol. 37(1), pages 245-254.
    39. Lin, Jianyi & Liu, Yuan & Meng, Fanxin & Cui, Shenghui & Xu, Lilai, 2013. "Using hybrid method to evaluate carbon footprint of Xiamen City, China," Energy Policy, Elsevier, vol. 58(C), pages 220-227.

  34. Shi, Guang-Ming & Bi, Jun & Wang, Jin-Nan, 2010. "Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs," Energy Policy, Elsevier, vol. 38(10), pages 6172-6179, October.

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    1. Wu, Jie & Zhu, Qingyuan & Ji, Xiang & Chu, Junfei & Liang, Liang, 2016. "Two-stage network processes with shared resources and resources recovered from undesirable outputs," European Journal of Operational Research, Elsevier, vol. 251(1), pages 182-197.
    2. Wu, Jie & Lv, Lin & Sun, Jiasen & Ji, Xiang, 2015. "A comprehensive analysis of China's regional energy saving and emission reduction efficiency: From production and treatment perspectives," Energy Policy, Elsevier, vol. 84(C), pages 166-176.
    3. Chang, Ming-Chung, 2016. "Applying the energy productivity index that considers maximized energy reduction on SADC (Southern Africa Development Community) members," Energy, Elsevier, vol. 95(C), pages 313-323.
    4. Xin Long Xu & Sen Qiao & Hsing Hung Chen, 2020. "Exploring the efficiency of new energy generation: Evidence from OECD and non-OECD countries," Energy & Environment, , vol. 31(3), pages 389-404, May.
    5. V. R. Bityukova & A. A. Shimunova, 2021. "Regional Analysis of Differentiation of Industrial Atmospheric Pollution in the Post-Soviet Space," Regional Research of Russia, Springer, vol. 11(3), pages 367-377, July.
    6. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    7. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
    8. Zhao-Hua Wang & Hua-Lin Zeng & Yi-Ming Wei & Yi-Xiang Zhang, 2011. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," CEEP-BIT Working Papers 26, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    9. Lu, Shibao & Wang, Jianhua & Shang, Yizi & Bao, Haijun & Chen, Huixiong, 2017. "Potential assessment of optimizing energy structure in the city of carbon intensity target," Applied Energy, Elsevier, vol. 194(C), pages 765-773.
    10. Xiaobo Shen & Boqiang Lin, 2017. "Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    11. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
    12. Wang, Ke & Lu, Bin & Wei, Yi-Ming, 2013. "China’s regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," Applied Energy, Elsevier, vol. 112(C), pages 1403-1415.
    13. Ke Wang & Xueying Yu, 2017. "Industrial Energy and Environment Efficiency of Chinese Cities: An Analysis Based on Range-Adjusted Measure," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1023-1042, July.
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    27. Witjes, Sjors & Lozano, Rodrigo, 2016. "Towards a more Circular Economy: Proposing a framework linking sustainable public procurement and sustainable business models," Resources, Conservation & Recycling, Elsevier, vol. 112(C), pages 37-44.
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    29. Yamoah, Fred A. & Sivarajah, Uthayasankar & Mahroof, Kamran & Peña, Iker González, 2022. "Demystifying corporate inertia towards transition to circular economy: A management frame of reference," International Journal of Production Economics, Elsevier, vol. 244(C).
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