发表论文

代表性论文

  1. Wang F, Wu M, Du X. Does industrial upgrading improve eco-efficiency? Evidence from China's industrial sector[J]. Energy Economics, 2023, 124: 106774. (SSCI)
  2. Wang F, Wu M, Wang J. Can increasing economic complexity improve China's green development efficiency?[J]. Energy Economics, 2023, 117: 106443. (SSCI)
  3. Wang F, Sun X, Reiner D M, Wu, M. Changing trends of the elasticity of China's carbon emission intensity to industry structure and energy efficiency[J]. Energy Economics, 2020, 86: 104679. (SSCI)
  4. Wang F, Shen S. Does the digital economy development improve or exacerbate income inequality? International evidence[J]. Managerial and Decision Economics, 2024, 45(5). (SSCI, IF: 2.2 (2022))
  5. Wang F, Wu M, Zheng W. What are the impacts of the carbon peaking and carbon neutrality target constraints on China's economy?[J]. Environmental Impact Assessment Review, 2023, 101: 107107. (SSCI)
  6. Wang F, Wang R, Nan X. Marginal abatement costs of industrial CO2 emissions and their influence factors in China[J]. Sustainable Production and Consumption, 2022, 30: 930-945. SSCI
  7. Wang F, Liu X, Reiner D M, Wang R. Impacts of energy intensity target constraint on elasticity of substitution between production factors in China[J]. Energy Efficiency, 2021, 14(3): 34. (SSCI)
  8. Wang F, Wu M. How does trade policy uncertainty affect China's economy and energy?[J]. Journal of Environmental Management, 2023, 330: 117198.
  9. Wang F, Wu M. Does air pollution affect the accumulation of technological innovative human capital? Empirical evidence from China and India[J]. Journal of Cleaner Production, 2021, 285: 124818. (SCI)
  10. Wang F, Liu X. Assessment of the economic impacts of continuous energy intensity target constraint in China: Based on an analytical general equilibrium model[J]. Journal of Cleaner Production, 2018, 189: 197-210. (SSCI & SCI)
  11. Wang F, Liu X, Nguyen TA. Evaluating the economic impacts and feasibility of China’s energy cap: Based on an Analytic General Equilibrium Model[J]Economic Modelling, 2018, 69: 114-126. (SSCI)
  12. 王锋,冯根福,吴丽华中国经济增长中碳强度下降的省区贡献分解[J]. 经济研究2013,(8):143-155.
  13. 王锋,吴丽华,杨超中国经济发展中碳排放增长的驱动因素研究[J]. 经济研究2010,(2):123-136.(此文被《光明日报》(2010-03-26)理论版以论点摘编的形式介绍)
  14. 林伯强,王锋能源价格上涨对中国一般价格水平的影响[J]. 经济研究2009,(12):66-79+150.
  15. 吴丽华,王锋人民币实际汇率错位的经济效应实证研究[J]. 经济研究2006,(7):15-28.
  16. 王锋, 葛星. 低碳转型冲击就业吗 ——来自中国低碳城市试点的经验证据[J]. 中国工业经济, 2022, (5): 101-119.
  17. 王锋,冯根福基于DEA窗口模型的中国省区能源与环境效率评估[J]. 中国工业经济2013,(7):56-68.
  18. 王锋,冯根福优化能源结构对实现中国碳强度目标的贡献潜力评估[J]. 中国工业经济2011,(4):127-137.
  19. 王锋,冯根福中国碳强度对行业发展、能源效率及中间投入系数的弹性研究[J]. 数量经济技术经济研究2012295):50-62+120.
  20. 杨超,王锋,门明征收碳税对二氧化碳减排及宏观经济的影响分析[J]. 统计研究2011,(7):45-54.
  21. 王锋,冯根福中国经济低碳发展的影响因素及其对碳减排的作用[J]. 新华文摘2011,(18):44-47.(原载于《中国经济问题》2011年第3期)

其它论文

  1. 王锋.中国碳排放峰值及其倒逼机制研究的发展动态[J]. 中国人口·资源与环境, 2018, 28(02): 141-150.
  2. 高长海,王锋. 地方政府生态保护力度如何影响经济高质量发展[J]. 中国人口·资源与环境, 2024, 34(03).
  3. 魏巍贤,王锋能源强度收敛:对发达国家与发展中国家的检验[J]. 中国人口·资源与环境2010, 20(01): 4-10.
  4. 王锋, 高长海. 中国产业部门隐含能源的测度、分解与跨境转移——基于CRIO模型的研究[J]. 经济问题探索, 2020(09): 1-11.
  5. 王锋, 高长海, 张森. 国际合作推进数字经济创新的内在逻辑与实践路径[J]. 北京行政学院学报, 2022, (04): 80-87.
  6. 王锋, 王瑞琦. 中国经济高质量发展研究进展[J]. 当代经济管理, 2021, 43(02): 1-10.
  7. 王锋, 王瑞琦, 吴建雄. 经济包容性绿色增长及其动能接续转换的研究进展[J]. 当代经济管理, 2022, 44(09): 1-14.
  8. 张武林雷原王锋清淡市场视角下中国碳交易试点市场弱式有效性研究[J]. 当代财经, 2017 (07): 3-11.
  9. 郭玉晶宋林王锋国际原油期货与农产品期货市场的波动溢出效应——基于离散小波和BEKK模型的研究国际商务(对外经济贸易大学学报) , 2015(06)86-96.
  10. 高群,王锋基于最终需求视角的中国碳排放分析[J]. 统计与信息论坛2013, 2811):66-74.
  11. 王锋化石能源耗竭与气候变化约束下的经济低碳转型[J]. 当代经济科学2012343):1-11.
  12. 王锋,冯根福中国经济低碳发展的影响因素及其对碳减排的作用[J]. 中国经济问题2011,(3):62-69.
  13. 王锋,张舒玮基于状态空间模型的煤炭价格长期趋势预测[J]. 统计与信息论坛2011,(8):67-72.
  14. 杨超,王锋金融危机下美国关税壁垒的抬升:基于中美双边贸易的实证研究[J]. 国际贸易问题2010,6):37-46.
  15. 王锋国有商业银行股份制改造的制度移植及本土化[J]. 西北农林科技大学学报 (社会科学版), 2005 (05): 39-43.
  16. 王锋,武敏. “碳达峰”及“碳中和”将接续驱动中国经济低碳绿色转型[EB/OL]. 学习强国 (2021-2-2).
  17. Chen Z, Wang F, Wang T, et al. A real options approach to renewable energy module end-of-life decisions under multiple uncertainties: Application to PV and wind in China[J]. Renewable Energy, 2024, 226: 120389.SCI,  IF: 8.72022))
  18. Wang F, Han H, Zhao J. Does the strengthened monitoring policy for key polluting enterprises induce China's green innovation?[J]. Energy & Environment, 2024.SSCI
  19. Wang F, Gillani S, Nazir R, et al. Environmental regulations, fiscal decentralization, and health outcomes[J]. Energy & Environment, 2023: 0958305X231164680.SSCI
  20. Wang F, Rani T, Razzaq A. Environmental impact of fiscal decentralization, green technology innovation and institution’s efficiency in developed countries using advance panel modelling[J]. Energy & Environment, 2022: 0958305X221074727.SSCI
  21. Wang F, Jiang Y, Zhang W, Yang F. Elasticity of factor substitution and driving factors of energy intensity in China’s industry[J]Energy & Environment, 2019, 30(3): 385–407 (SSCI)
  22. Wang F, Wu M. The Impacts of COVID-19 on China’s Economy and Energy in the Context of Trade Protectionism[J]. International Journal of Environmental Research and Public Health, 2021, 18(23): 12768. (SSCI)
  23. Wang F, Ge X, Huang D. Government Intervention, Human Mobility, and COVID-19: A Causal Pathway Analysis from 121 Countries[J]. Sustainability, 2022, 14(6): 3694. (SSCI)
  24. Wang F, Wu J, Wu M, et al. Has the Economic Structure Optimization in China’s Supply-Side Structural Reform Improved the Inclusive Green Total Factor Productivity?[J]. Sustainability, 2021, 13(22): 12911. (SSCI)
  25. Wang F, Wang R. The Mechanism of Driving Green Growth and Decreasing Energy Security Risks by Innovation in China[J]. Sustainability, 2021, 13(9): 4733. (SSCI)
  26. Wang F, Gao C, Zhang W, Huang D. Industrial Structure Optimization and Low-Carbon Transformation of Chinese Industry Based on the Forcing Mechanism of CO2 Emission Peak Target[J]. Sustainability, 2021, 13(8): 4417. (SSCI)
  27. Wang F, Wu M, Hong J. Exploring the Effects of Industrial Structure, Technology, and Energy Efficiency on China’s Carbon Intensity and Their Contributions to Carbon Intensity Target[J]. Sustainability, 2020, 12(19): 8016. (SSCI)
  28. Wang F, Wang R, Yan M, et al. Does air pollution affect traffic safety? Evidence from cities in China[J]. Environmental Science and Pollution Research, 2023, 30(38): 88998-89011. (SCI)
  29. Wang F, Han H, Liu L, Zhao J. Assessing the contribution of optimizing energy mix to China’s carbon peaking[J]. Environmental Science and Pollution Research, 2023. (SCI)
  30. Wang F, Ge X. Inter-provincial responsibility allocation of carbon emission in China to coordinate regional development[J]. Environmental Science and Pollution Research, 2021. (SCI)
  31. Wang F, Gao C, Ou Q. Study on the measurement and the changing trend of the energy use of China’s economic sectors: based on cross-region input-output model[J]. Environmental Science and Pollution Research, 2021, 28(5): 5296-5315. (SCI)
  32. Wang F, Wang R, Wang J. Measurement of China’s green GDP and its dynamic variation based on industrial perspective[J]. Environmental Science and Pollution Research, 2020, 27(35): 43813-43828. (SCI)
  33. Wang F, Yang F, Qi L. Convergence of carbon intensity: a test on developed and developing countries[J]. Environmental Science and Pollution Research, 2020, 27(28): 34796-34807. (SCI)
  34. Zhang, X.-Q., Wang, F., Wang, Y.-H., Yu, L.-Y., Mu, X.-M., Sun, H.-B. 2016. Water Resources in China under Global Climate Change: Sustainable Management and Challenges. Transylvanian Review, 24 (7): 905-910. (SSCI)
  35. Rani T, Wang F, Rauf F, et al. Linking personal remittance and fossil fuels energy consumption to environmental degradation: evidence from all SAARC countries[J]. Environment, Development and Sustainability, 2022. (SCI)
  36. Rani T, Wang F, Awad A, et al. A cross-sectoral analysis of energy shortages in Pakistan: based on supply-driven input-output model[J]. Economic Research-Ekonomska Istraživanja, 2023, 36(3): 2186910. (SSCI)
  37. Wang, F., Yang, F., 2018. A review of research on China’s carbon emission peak and its forcing mechanism. Chinese Journal of Population Resources and Environment, 1-10. (ESCI)
  38. Xiaohong Li, Kunfeng Chen, Feng Wang, 2023. What Drives International Higher Education Students to learn in China——An Empirical Study Based on Gravity Model[C]. Proceedings of the 2nd International Conference on Financial Innovation, FinTech and Information Technology, FFIT 2023, July 7–9, 2023, Chongqing, China. DOI: 10.4108/eai.7-7-2023.2338068

出版专著

  1. 王锋,杜旭洋,李皓浩. 中国高质量发展中的工业升级及其生态效率研究[M]. 西安:西安交通大学出版社,2023.
  2. 王锋, 张武林. 中国碳排放峰值目标的倒逼机制及其经济影响研究[M]. 西安:西安交通大学出版社,2021.
  3. 王锋. 中国经济低碳转型中实现碳强度目标的政策绩效评估[M]. 北京:经济科学出版社,2013.
  4. 王锋. 中国碳排放增长的驱动因素及减排政策评价[M]. 北京:经济科学出版社,2011.