王永培 Wang Yongpei

发布者:太阳娱乐集团官网-见好就收发布时间:2019-05-12浏览次数:4410

王永培(Yongpei Wang)

        


一、基本情况

王永培,男,19843月,江苏省赣榆人,经济学博士学位;副教授,高级经济师,硕士生导师。主要从事人口、资源与环境经济学研究,以第一作者和通讯作者分别在《中国工业经济》、《中国人口·资源与环境》、CitiesEnergy PolicyRenewable EnergyEnergy EfficiencyJournal of Environmental Planning & ManagementEnergy & EnvironmentJournal of Cleaner ProductionEnvironmental Science & Pollution ResearchScience of The Total EnvironmentTransport PolicySCI/SSCI及国内核心期刊发表学术论文40余篇,参与编著和出版学术和研究报告9部;主持及作为核心成员参与国家社科基金、国家能源局软科学项目、国家电网公司科技项目10余项,获得多个省部级奖项。受邀担任Renewable & Sustainable Energy ReviewsEnergy PolicyRenewable Cities & SocietyEnergy EfficiencyEnergy & EnvironmentCarbon ManagementEnergy Sources Part B- Economics Planning and PolicyJournal of Environmental Planning & ManagementEnvironmental Science& Pollution ResearchEnergy, Sustainability & SocietyGrowth and ChangeApplied EconomicsEconomic ModellingEmerging Markets Finance & TradeSCI/SSCI期刊匿名审稿人。

电子信箱wyp@nau.edu.cn

二、学习经历

2002-2006,扬州大学信息工程学院信息管理与信息系统专业本科生获管理学学士

2006-2009,南京财经大学国际经贸学院产业经济学专业硕士研究生(获经济学硕士);

2009-2012年,中国人民大学商学院产业经济学专业博士研究生(获经济学学博士)

三、工作经历

2012.06 - 2017.09,国网能源研究院高级研究员高级经济师

2017.09 - 现在 太阳娱乐集团官网-见好就收,副教授。

四、论文发表

1. Wang, Y., Guan, Y., Zhang, Q. (2022). Railway opening and carbon emissions in distressed areas: Evidence from China’s state-level poverty-stricken counties. Transport Policy(SSCI, JCR一区,IF= 6.173)

2. Wang, Y., Yan, Q., Zhang, Q. (2022). Carbon mitigation performance of top-down administrative and fiscal decentralizations: Evidence from quasi-natural experiments in China's pilot counties. Science of the Total Environment(SCI,JCR一区) 

3. Wang, Y., Guan, Zhongyu., Liang, Jia. (2022). Investigating the propellant role of the mega-grid in regional economic growth: Evidence from China base on the panel smooth transition regression model. Energy & Environment(SSCI, JCR三区,IF=2.945)

4. Wang, Y., Zhang, Q. (2022). How does electricity consumption of energy-intensive manufacturing affect the installed capacity of power generation? Empirical evidence under the background of China’s supply-side structural reform. Energy Efficiency 15, 44  https://doi.org/10.1007/s12053-022-10043-y(SCI&SSCI,JCR三区,IF= 2.574)

5. Wang,Y.,& Yang, Jieru.. Chen, Jinwei.(2021). Environmental pollution and population distribution among districts and counties: Evidence from prefecture-level cities in China. Energy & Environment. (SSCI, JCR三区,IF=2.945)

6. Wang, Y., Xu, C., &Yuan, P. (2021). Is there grid-connected effect of grid infrastructure on renewable energy generation? Evidence from China’s upgrading transmission lines. Energy & Environment(SSCI, JCR区,IF=2.945)

7. Wang, Y, & Xu, Zhenyu (2022). The scale boundary of urbanized population with peaking PM2.5 concentration: A spatial panel econometric analysis of China's prefecture-level and above cities. Journal of Environmental Planning & Management,65(1),126-149. https://doi.org/10.1080/09640568.2021.1879033 (SSCI, JCR区,IF= 2.093)

8. Wang, Y., & Chen, J. (2020). Revisiting the environmental Kuznets curve of PM2.5 concentration: Evidence from prefecture-level and above cities of China. Environmental Science & Pollution Research. 27:9336–9348. https://doi.org/10.1007/s11356-020-07621-x (SCI,JCR,IF= 2.914)

9. Shao, S., Wang, Y(corresponding author)., Yan, W., Yang, L.,Yin,J., Zhang, X.(2020).Administrative decentralization and credit resource reallocation: evidence from China’s “Enlarging  Authority and Strengthening Counties” reform. Cities,97,1-16. https://doi.org/10.1016/j.cities.2019.102530 (SSCI,JCR,IF= 3.853)

10. Wang, Y., Yan, W., & Komonpipat, S. (2019). How does the capacity utilization of thermal power generation affect pollutant emissions? Evidence from the panel data of China's provinces. Energy Policy,132,440-451. https://doi.org/10.1016/j.enpol.2019.06.010 (SCI&SSCI,JCR一区,IF= 4.880) 

11. Wang, Y., & Chen, J. (2019). The environmental effect of capacity utilization in thermal power plants: Evidence from interprovincial carbon emissions in China. Environmental Science & Pollution Research.26(29), 30399–30412. https://doi.org/10.1007/s11356-019-06251-2 (SCI,JCR,IF= 2.914) 

12. Wang, Y., Wang, L.& Zhang, Q. (2019). Decomposition of manufacturing-related electricity consumption intensity in China using the LMDI method: 1990-2015.Energy Efficiency, 12:1837–1855. https://doi.org/10.1007/s12053-019-09794-y (SCI&SSCI,JCR三区,IF= 1.961) 

13. Wang, Y., Yan, W., Zhuang, S. & Zhang, Q. (2019). Competition or complementarity? The hydropower and thermal power nexus in China. Renewable Energy,138,531-541. https://doi.org/10.1016/j.renene.2019.01.130 (SCI,JCR一区,IF=5.439) 

14. Wang, Y., Zhang, Q., & Li, C. (2019). The contribution of non-fossil power generation to reduction of electricity-related CO2 emissions: a panel quintile regression analysis. Journal of Cleaner Production, 207, 531-541.https://doi.org/10.1016/j.jclepro.2018.10.009 (SCI&SSCI,JCR一区,IF= 6.395) 

15. Wang, Y., & Li, J. (2019). Spatial spillover effect of non-fossil fuel power generation on carbon dioxide emissions across China's provinces. Renewable Energy,136,317-330. https://doi.org/10.1016/j.renene.2019.01.012 (SCI,JCR一区,IF=5.439) 

16. Wang, Y., Yan, W., Zhuang, S., & Li, J. (2018). Does grid-connected clean power promote regional energy efficiency? an empirical analysis based on the upgrading grid infrastructure across China. Journal of Cleaner Production, 186,736-747. https://doi.org/10.1016/j.jclepro.2018.03.116 (SCI&SSCI,JCR一区,IF= 6.395) 

17. Wang, Y., Yan, W., Ma, D., & Zhang, C. (2018). Carbon emissions and optimal scale of China’s manufacturing agglomeration under heterogeneous environmental regulation. Journal of Cleaner Production, 176, 140-150. https://doi.org/10.1016/j.jclepro.2017.12.118 (SCI&SSCI,JCR一区,IF= 6.395) 

18. 王永培、马丁、单葆国、晏维龙:《电网发展、清洁电源接入与地区能源效率》、《中国人口·资源与环境》,2017年第3期;

19. 王永培、晏维龙:《产业集聚的避税效应——来自中国制造业企业的经验证据》、《中国工业经济》,2014年第12期;

五、科研项目

1.国家社科基金后期资助项目“中国可再生能源跨区配置影响因素与外溢效应研究”(批准号:20FJYB039),主持;

2.国家电网公司科技项目“中国电力景气指数模型开发及应用研究”,主持;

3.国家电网公司科技项目“全球能源统一平台经济分析预测模型开发及应用研究”,主持;

六、教学科研奖励

12016年中国电力企业联合会中国电力创新奖二等奖;

22015年国家电网公司科技进步奖一等奖;

32014年国家能源局软科学研究优秀成果三等奖;

42012年国家能源局软科学研究优秀成果二等奖等。