王舒鸿

发布者:鞠维哲发布时间:2018-02-02浏览次数:6827

王舒鸿  副教授 博士生导师

  

1. 个人简介
王舒鸿(1986-),男,汉族,经济学博士、博士后,美国密歇根大学罗斯商学院访问学者(全美商学院排名第三,US News),中国海洋大学天泰人才,担任国家自然科学基金同行评审专家,Annals of Operations Research、Energy Policy等期刊评审专家。

  

2. 教育经历
2011.9-2014.6,南开大学英国威廉希尔,国际经济与贸易,导师:周申
2009.9-2011.6, 南开大学英国威廉希尔,数量经济学,导师:张晓峒
2005.9-2009.6,安徽财经大学统计与应用数学学院,统计学

  

3. 工作经历
2018.8-2019.8,美国密歇根大学罗斯商学院,访问学者
2018.2-今,英国威廉希尔,博士生导师
2017.10-今,中国海洋大学海洋发展研究院,研究员
2016.12-今,英国威廉希尔,副教授
2014.7-2016.11,英国威廉希尔,讲师

  

4.研究方向
环境经济与管理、管理决策、绩效管理等
招生信息:欢迎具有浓厚学术研究兴趣的青年才俊报考本人的硕士研究生、博士研究生、博士后。可事先将简历发至我的邮箱,我会尽快回复。

  

5.主要成果(仅列一作或通讯)
[1]Malin Song, Shuhong Wang*, Liang Lei, Li Zhou. 2019. Environmental efficiency and policy change in China: A new meta-frontier non-radial angle efficiency evaluation approach. Process Safety and Environmental Protection, 121: 281-289. Q1
[2]Malin Song, Xin Cui, Shuhong Wang*. 2018. Simulation of land green supply chain based on system dynamics and policy optimization. International Journal of Production Economics, DOI: org/10.1016/j.ijpe.2018.08.021 Q1
[3]Malin Song, Jing Wang, Shuhong Wang* and Danqing Zhao. 2018. Knowledge accumulation, development potential and efficiency evaluation: an example using the Hainan free trade zone. Journal of Knowledge Management, DOI: org/10.1108/JKM-06-2018-0368 Q1
[4]Malin Song, Shaopeng Cao, Shuhong Wang*. 2018. The impact of knowledge trade on sustainable development and environment-biased technical progress. Technological Forecasting & Social Change, https://doi.org/10.1016/j.techfore.2018.02.017Q1
[5]Malin Song, Mei Chen, Shuhong Wang*, Global supply chain integration, financing restrictions, and green innovation: Analysis based on 222,773 samples. International Journal of Logistics Management, 29(2): 539-554. Q3
[6]Malin Song, Shuhong Wang*, Kaiya Wu. (2018). Environment-biased technological progress and industrial land use efficiency in China’s new normal. Annals of Operations Research, 268(1-2): 425-440. Q2
[7]Malin Song, Shuhong Wang*, Jing Sun. (2018). Environmental regulations, staff quality, green technology, R&D efficiency, and profit in manufacturing. Technological Forecasting & Social Change, 133: 1-14. Q1
[8]Malin Song, Shuhong Wang*. (2018). Effects of outward migration of factory for the Beijing-Tianjin-Hebei city circle. International Journal of Computer Integrated Manufacturing, Vol(31), No. 6, pp: 513-522. Q2
[9]Shuhong Wang, Mei Chen, Malin Song*. (2018). Energy constraints, green technological progress, and business profit ratios: Evidence from big data of Chinese enterprises. International Journal of Production Research. 56(8): 2963-2974. Q1
[10]Shuhong Wang*, Xiaoli Sun. (2018). The global system‐ranking efficiency model and calculating examples with consideration of the nonhomogeneity of decision‐making units. Expert Systems. DOI: 10.1111/exsy.12272. Q2
[11]Shuhong Wang, Hui Yu, Malin Song*. (2018). Assessing the efficiency of environmental regulations of large-scale enterprises based on extended fuzzy data envelopment analysis. Industrial Management & Data Systems, 118(2): 463-479. Q1
[12]Malin Song, Shuhong Wang*. (2018). Market competition, green technology progress and comparative advantages in China. Management Decision. 56(1): 188-203. ESI  1%
[13]Malin Song, Shuhong Wang*. (2018). Measuring Environment-Biased Technological Progress Considering Energy Saving and Emission Reduction. Process Safety and Environmental Protection, 116: 745-753. Q1
[14]Shu-Hong Wang, Yan-Chao Wang, Ma-Lin Song*. (2017). Construction and analogue simulation of TERE model for measuring marine bearing capacity in Qingdao. Journal of Cleaner Production, 167: 1303-1313. Q1
[15]Shuhong Wang, Malin Song*. (2017). Influences of reverse outsourcing on green technological progress from the perspective of a global supply chain. Science of the Total Environment, 595: 201-208. Q1
[16]Malin Song, Wanping Zheng, Shuhong Wang*. (2017). Measuring Green Technology Progress in Large-scale Thermoelectric Enterprises based on Malmquist-Luenberger Life Cycle Assessment. Resources, Conservation & Recycling. 122: 261-269. Q1
[17]Cao Bingru, Shuhong Wang*. (2017). Opening up, international trade, and green technology progress in China. Journal of Cleaner Production. 142, 1002-1012. Q1
[18]Malin Song, Shuhong Wang*. (2017). Participation in global value chain and green technology progress: evidence from big data of Chinese enterprises. Environmental Science and Pollution Research, 24(2): 1648-1661. Q2
[19]Shu-Hong Wang, Ma-Lin Song*, Tao Yu. (2016). Hidden carbon emissions, industrial clusters, and structure optimization in China. Computational Economics. DOI 10.1007/s10614-016-9570-7 Q3
[20]Malin Song, Shuhong Wang*. (2016). Can employment structure promote environment-biased technical progress? Technological Forecasting & Social Change, 112: 285-292. Q1
[21]Bingru Cao, Kunpeng Fu, Jun Tao, Shuhong Wang*. (2015).based Research on Environmental pollution and population migration in Anhui Province, China. Ecological Indicators, 51: 159-164. Q1
[22]Shuhong Wang, Malin Song*. (2014). Review of hidden carbon emissions, trade, and labor income share in China, 2001–2011. Energy Policy, 74: 395-405. Q1
[23]宋马林, 王舒鸿*, 邱兴业. (2014). 一种考虑整数约束的环境效率评价MOISBESE模型 [J]. 管理科学学报, 17(11): 69-78. [CSSCI, NSFC-A]
[24]王舒鸿, 宋马林. 后危机时代外商直接投资趋势变化的统计分析[J]. 中央财经大学学报, 2014(11): 89-99.(CSSCI)

  

【附】主持的国家级项目:
[1]国家自然科学基金青年项目(71601170):基于数据包络分析的环境偏向型技术进步测度研究
[2]教育部人文社会科学研究项目(16YJC630123):考虑区域差异的绿色技术进步测度与优化研究。
[3]中国博士后基金特别资助(2017T100514):考虑区域差异的最优偏向型技术进步模式研究。
[4]中国博士后面上基金一等资助(2015M570613):考虑环境规制的绿色技术进步测度研究。
[5]山东省自然科学基金项目(ZR2015PG003):基于DEA的环境偏向型技术进步理论、方法与应用。
[6]青岛市社会科学规划项目(QDSKL150413):面向大数据的海洋资源承载力研究。
[7]中央高校基本科研业务费(201513020):面向大数据的环境规制与经济增长。
[8]山东省博士后创新项目专项(201503013):面向大数据的环境偏向型技术进步理论、方法与应用。
[9]山东省重大财经应用研究子课题(CJ-2017-32):海洋生态补偿的政策模拟与优化

  

科研奖励:
[1]2018年山东省高等学校优秀科研成果二等奖(1/2)
[2]2016年山东省第三十次社会科学优秀成果奖三等奖(1/2)
[3]教育部第七届高等学校科学研究优秀成果奖(人文社会科学)三等奖。(2/2)
[4]2015年山东省高等学校优秀科研成果二等奖 (1/2)
[5]青岛市第二十九次社会科学优秀成果奖三等奖。(1/2)
[6]第八届安徽省自然科学优秀学术论文二等奖(2/3)

  

6. 联系方式
电话:18753299830 
E-mail:wangshunnar@163.com
通讯地址:山东省青岛市崂山区松岭路238号英国威廉希尔411
邮编:266100

 

Baidu
sogou