统计学院教师个人简介情况表

姓名
徐斌
性别
男


出生年月
1975.9
职务/职称
副教授


学历/学位
博士
博导∕硕导
博（硕）导


所学专业
统计学
电子邮箱
Xubin9675@163.com


学术研究领域：
计量经济学；能源经济学


荣誉称号和社会团体兼职
全国统计教学学会理事，20多个国际期刊通信审稿人。


教 学 情 况

主要承担《计量经济学》、《空间计量经济学》、《概率论与数理统计》等课程教学工作。



科 研 情 况

近几年来，以第一作者或通信作者在《Energy Economics》, 《Applied Energy》, 《Energy Policy》, 《Energy》, 《Renewable and Sustainable Energy Reviews》和《数理统计与管理》等重要期刊发表论文40余篇,其中SCI 二区以上18篇，SSCI论文10篇。主持完成国家社科基金项目1项、江西省自然基金项目3项，江西省科技厅软科学项目4项，江西省教育厅科技项目2项，江西省人文社科项目1项，国家统计局科研项目3项，江西省统计局科研项目3项。代表性科研成果如下：
期刊论文：
[1] Xu, B., Lin, B., 2015. Factors affecting carbon dioxide (CO₂) emissions in China's transport sector: a dynamic nonparametric additive regression model. Journal of Cleaner Production,101, 311–322.
[2] Xu, B., Lin, B., 2015. Carbon dioxide emissions reduction in China's transport sector: A dynamic VAR (vector autoregression) approach.Energy,83, 486–495. (TOP期刊).
[3] Xu, B., Lin, B., 2015. How industrialization and urbanization process impacts on CO₂emissions in China: evidence from nonparametric additive regression models.Energy Economics,48, 188–202. (TOP期刊).
[4] Xu, B., Lin, B., 2016. Regional differences of pollution emissions in China: contributing factors and mitigation strategies.Journal of Cleaner Production, 112, 1454–1463.
[5] Xu, B., Lin, B., 2016. Assessing CO₂emissions in China’s iron and steel industry: a dynamic vector autoregression model.Applied Energy,161, 375–386. (TOP期刊).
[6] Xu, B., Lin, B., 2016. Regional differences in the CO₂ emissions of China's iron and steel industry: Regional heterogeneity.Energy Policy,88, 422–434. (TOP期刊).
[7] Xu, B., Lin, B., 2016. Differences in regional emissions in China's transport sector: Determinants and reduction strategies.Energy,95, 459–470. (TOP期刊).
[8] Xu, B., Lin, B., 2016. Reducing CO₂emissions in China's manufacturing industry: Evidence from nonparametric additive regression models.Energy,101, 161–173. (TOP期刊).
[9] Xu, B., Luo, L., Lin, B., 2016. A dynamic analysis of air pollution emissions in China: Evidence from nonparametric additive regression models.Ecological Indicators,63, 346–358.
[10] Xu, B., Lin, B., 2016. Reducing carbon dioxide emissions in China's manufacturing industry: a dynamic vector autoregression approach.Journal of Cleaner Production. 131(9), 594–606.
[11] Xu, B., Lin, B., 2016. A quantile regression analysis of China's provincial CO₂emissions: Where does the difference lie?Energy Policy,98, 328–342. (TOP期刊).
[12] Xu, B., Lin, B., 2017. Does the high–tech industry consistently reduce CO₂ emissions? Results from nonparametric additive regression model. Environmental Impact Assessment Review 63, 44–58.
[13] Xu, B., Lin, B., 2017. What cause a surge in China's CO₂ emissions? A dynamic vector autoregression analysis.Journal of Cleaner Production,143, 17–26.
[14] Xu, B., Lin, B., 2017. Assessing CO₂emissions in China's iron and steel industry: A nonparametric additive regression approach.Renewable and Sustainable Energy Reviews,72, 325-337. (TOP期刊).
[15] Xu, B., Lin, B., 2017. Factors affecting CO₂ emissions in China’s agriculture sector: Evidence from geographically weighted regression model. Energy Policy,104, 404-414. (TOP期刊).
[16] Xu, R., Xu, L., Xu, B., 2017. Assessing CO₂ emissions in China's iron and steel industry: Evidence from quantile regression approach.Journal of Cleaner Production,152, 259-270.
[17] Lin, B., Xu, B., 2017. Which provinces should pay more attention to CO₂emissions? Using the quantile regression to investigate China's manufacturing industry.Journal of Cleaner Production,164, 980-993.
[18] Xu, B., Xu, L., Xu, R., Luo, L., 2017. Geographical analysis of CO₂emissions in China's manufacturing industry: A geographically weighted regression model.Journal of Cleaner Production,166, 628-640.
[19] Xu, B., Lin, B., 2017. What cause large regional differences in PM_2.5pollutions in China? Evidence from quantile regression model. Journal of Cleaner Production,DOI:S0959-6526(17)32657-4.
[20] Xu, B., Lin, B., 2017. Investigating the differences in CO₂emissions in the transport sector across Chinese provinces: Evidence from a quantile regression model. Journal of Cleaner Production,PII:S0959-6526(17) 32952-9.
[21] XU, B., XU, L., 2012. An Empirical Research on the Factors Impacting the Development Scale of Chinese Higher Education.Physics Procedia,24, 667-673. (SSCI).
[22] XU, B., Xu R.J., 2012. An Empirical Analysis on the Consumption Structure of Town Residents, Jiangxi Province—Based on the Extended Linear Expenditure System Model (ELES).Physics Procedia,24, 660-666.
[23] Wan, Y.P., Xu, B., Li, S.D., 2011. An empirical analysis on the factors affecting the loan size of the construction of new university campus. InAdvanced Materials Research(Vol. 181, pp. 879-883). Trans Tech Publications.
[24] 徐斌,陈建宝,2015.财政支农支出、经济增长、收入差距与区域农村居民消费——基于非参数可加模型的实证研究.数理统计与管理,34(5), 769-783.
[25] 夏杰长,徐斌,2014.人力资本与经济增长——基于非线性STR模型的实证研究.首都经济贸易大学学报,16(2),5-13.
[26] 徐斌,夏杰长, 2014.地下经济与正规经济关系的再检验广东财经大学学报,29(1),4-11.
[27] 夏杰长,徐斌,2015. 农村居民消费对经济增长的非线性冲击——基于STR模型的研究.黑龙江社会科学,(1):60-68.
主持科研课题：
[1] 中国区域PM_2.5污染的空间分布差异、影响因素及溢出效应研究, 国家社科基金一般项目(15BTJ022)。
[2] 江西制造工业碳排放增长驱动因素和减排路径选择：基于非线性计量方法的实证研究, 江西省自然基金项目(20171BAA208017)。
[3] 江西新能源产业发展区域差异和影响因素：基于非线性计量的理论和应用研究，江西省人文社科项目(TJ161001)。
[4] 江西雾霾污染区域差异、影响因素及减排策略研究，江西省科学技术研究项目(GJJ160441)。
[5] 江西碳排放空间分布差异、驱动因素及溢出效应研究，江西省软科学研究项目(20161BBA10042)。
[6] 江西工业化进程中碳排放增长的影响因素和减排策略——基于非线性模型和非参数方法的实证研究, 江西省自然基金项目(20132BAB201014)。
[7] 江西工业化进程中的碳排放增长影响因素和减排策略研究, 江西省教育厅科技项目(GJJ13324)。
[8] 江西城市化进程中碳排放增长的驱动因素和减排潜力——基于非线性计量的理论和应用研究, 江西省软科学项目(20151BBA10037)。
[9] 江西工业主要行业碳生产率测度研究,江西省博士后科研择优资助项目(2013KY26)。
[10] 农村房地产发展实证研究,国家统计局统计科研计划项目(Z009)。
[11] 江西省农村公共产品供给实证研究,江西省科技厅软科学项目(N13)。
[12] 政府电子信息资源的元数据模型理论与应用研究, 国家统计局统计科研计划项目(2013LY118)。

获 奖 情 况

近几年发表的学术论文，有5篇成为ESI高被引论文(居世界前50%的国家/地区和居前0.1%的热点论文)。
[1] Xu B, Lin B. Assessing CO₂, emissions in China’s iron and steel industry: A dynamic vector autoregression model[J]. Applied Energy, 2016, 161:375-386. [ESI高被引论文]
[2] Xu B, Lin B. Factors affecting carbon dioxide (CO₂) emissions in China's transport sector: a dynamic nonparametric additive regression model[J]. Journal of Cleaner Production, 2015, 101: 311-322. [ESI高被引论文]
[3] Xu B, Lin B. How industrialization and urbanization process impacts on CO₂, emissions in China: Evidence from nonparametric additive regression models[J]. Energy Economics, 2015, 48:188-202. [ESI高被引论文]
[4] Xu B, Lin B. Regional differences in the CO₂emissions of China's iron and steel industry: regional heterogeneity[J]. Energy Policy, 2016, 88: 422-434. [ESI高被引论文]
[5] Xu B, Lin B. Regional differences of pollution emissions in China: contributing factors and mitigation strategies[J]. Journal of Cleaner Production, 2016, 112: 1454-1463.[ESI高被引论文]