Profile of Associate Professor Xu Bin

​

    ​Name: Xu Bin

    ​Title: Associate Professor

    ​Office Phone: 

    ​Email: xubin9675@163.com

1. Introduction

Basic Information:

Xu Bin, male, was born in September 1975 and is a native of Fuyang City, Anhui Province. He earned a PhD in Economics and currently works as an associate professor and doctoral tutor at the School of Statistics, Jiangxi University of Finance and Economics. He is also a reviewer of the Journal of Applied Econometrics and an adjunct assistant professor of China Institute for Studies in Energy Policy at Xiamen University.

Research Directions: Econometrics, Energy Economics, Environmental Economics

Education Experience:

2016.02-2017.02, Visiting Scholar, Monash University, Melbourne, Australia

2008.09-2011.06, PhD (Statistics), Xiamen University, Xiamen City, P.R. China

2002.09-2005.06, MA (Statistics), East China Jiaotong University, Nanchang, P.R.China

Work Experience:

2011.12-Present, Associate Professor, Jiangxi University of Finance and Economics

2. Teaching Experience

Courses Taught:

Probability Theory and Mathematical Statistics

Advanced Econometrics

Spatial Econometrics

Software Skills:

STATA, SAS, EVIEWS

3. Research Achievements

Projects:

1．Xu Bin. The spatial distribution, influencing factors and spillover effect of China's PM_2.5 pollution. Project of the National Social Science Foundation (No.15BTJ022). Host.

2．Xu Bin. The driving forces and reduction potential of Jiangxi’s CO₂ emissions in the process of urbanization-based on the theory and application of nonlinear econometrics. Project of Jiangxi Soft Science Foundation (No. 20151BBA10037). Host.

3．Xu Bin. The influencing factors and reduction strategies of Jiangxi’s CO₂ emissions in the process of industrialization-based on nonlinear models and non-parametric methods. Project of Jiangxi Natural Science Foundation (No. 20142BAB201014). Host.

4．Xu Bin. The driving factors and reduction strategies of Jiangxi’s CO₂ emissions in the process of industrialization. Science and Technology Project of the Science and Technology Department of Jiangxi Province (No. GJJ14324). Host.

5．Xu Bin. Study on the theory and application of Metadata Model in government electronic information resources. National Statistical Science Research Project, (2013LY118). Host.

6．Xu Bin. Empirical study on rural real estate development. Second National Agricultural Census Project (N009). Host.

7．Xu Bin. Empirical study on rural public products supply in Jiangxi province. Second Jiangxi Agricultural Census Project (N13). Host.

8．Xu Bin. Study on the macroeconomic policies of stimulating domestic demand. Project of the National Social Science Foundation (088LED034). Major player.

9．Xu Bin. Study on hedonic price index (HPI) in the perspective of latent variable interaction effect. Project of the National Social Science Foundation (12CTJ010). Major player.

10．Xu Bin. Study on the economic theory and policy choices of energy conservation and carbon reduction. Project of the National Social Science Foundation (08BJL050). Major player.

11．Xu Bin. Study on regional differences and impact factors of China's new energy industry-based on non-parametric methods and nonlinear econometric models.  Project of Jiangxi Provincial Development and Reform Commission (2015-007). Major player.

Papers:

[1] Xu Bin. Assessing CO₂ emissions in China’s iron and steel industry: a dynamic vector autoregression model. Applied Energy, 2016, 161: 375–386. SCI Q1. First Author.

[2] Xu Bin. Carbon dioxide emissions reduction in China's transport sector: A dynamic VAR (vector autoregression) approach. Energy, 2015, 83:486–495. SCI Q1. First Author.

[3] Xu Bin. How industrialization and urbanization process impacts on CO₂ emissions in China: evidence from nonparametric additive regression models. Energy Economics, 2015, 48:188–202. SSCI Q1. First Author.

[4] Xu Bin. Regional differences in the CO₂ emissions of China's iron and steel industry: Regional heterogeneity. Energy Policy, 2016, 88: 422–434. SCI/SSCI Q1. First Author.

[5] Xu Bin. Factors affecting CO₂ emissions in China’s agriculture sector: Evidence from geographically weighted regression model. Energy Policy, 2017, 104:404-414. SCI Q1. First Author.

[6] Xu Bin. Factors affecting carbon dioxide (CO₂) emissions in China's transport sector: a dynamic nonparametric additive regression model. Journal of Cleaner Production, 2015, 101:311–322. First Author.

[7] Xu Bin. Differences in regional emissions in China's transport sector: Determinants and reduction strategies. Energy, 2016,95:459–470. SCI. First Author.

[8] Xu Bin. Reducing CO₂ emissions in China's manufacturing industry: Evidence from nonparametric additive regression model. Energy, 2016, 101:161–173. First Author.

[9] Xu Bin. A dynamic analysis of air pollution emissions in China: Evidence from nonparametric additive regression models. Ecological Indicators, 2016, 63:346–358. First Author.

[10] Xu Bin. A quantile regression analysis of China's provincial CO₂ emissions: Where does the difference lie? Energy Policy, 2016, 98:328–342. First Author.

[11] Xu Bin. Does the high–tech industry consistently reduce CO₂ emissions? Results from nonparametric additive regression model. Environmental Impact Assessment Review, 2017, 63:44–58. SSCI. First Author.

[12] Xu Bin. Assessing CO₂ emissions in China's iron and steel industry: A nonparametric additive regression approach. Renewable and Sustainable Energy Reviews, 2017, 72:325-337. SCI Q1. First Author.

[13] Xu Bin. Assessing CO₂ emissions in China's iron and steel industry: Evidence from quantile regression approach. Journal of Cleaner Production, 2017, 152:259-270. SCI Q2. Corresponding Author.

[14] Xu Bin. Assessing the development of China’s new energy industry. Energy Economics, 2018, 70:116-131. SSCI. First Author.

[15] Xu Bin. How to promote the growth of new energy industry at different stages? Energy Policy, 2018, 118:390-403. Corresponding Author.

[16] Xu Bin. Factors affecting CO₂ emissions in China’s agriculture sector: A quantile regression. Renewable & Sustainable Energy Reviews, 2018, 94:15-27. SCI Q1. Corresponding Author.

[17] Xu Bin. Growth of industrial CO₂ emissions in Shanghai city: Evidence from a dynamic vector autoregression analysis. Energy, 2018, 151:167-177. SCI Q1. Corresponding Author.

[18] Xu Bin. Do we really understand the development of China's new energy industry? Energy Economics, 2018, 74:733-745. SSCI. First Author.