个人简历

1986年6月出生于广东汕头,2015年6月于厦门大学获经济学博士学位，2019年1月起任厦门大学中国能源政策研究院副教授，在《经济研究》、《世界经济》、《Energy Economics》、《Energy Journal》、《China Economic Review》、《Stata Journal》等国内外重要期刊发表论文30多篇；主持国家自然科学基金青年项目、中国博士后科学基金面上项目、中国博士后科学基金特别资助项目、山东省自然科学基金博士项目等多个课题；获得山东省社会科学优秀成果二等奖（2018）。
工作经历
2019年1月至今 ， 厦门大学管理学院，中国能源政策研究院， 副教授
2015年7月-2018年11月，山东大学经济研究院， 助理研究员
教育经历
2012.09-2015.06， 厦门大学， 能源经济学，博士学位
科研项目
国家自然科学基金面上项目，环境规制与中国城市经济绿色转型：基于绿色技术进步和产业结构升级视角 的研究，72074184，48万元，2021.01-2024.12, 主持
国家自然科学基金青年项目，异质技术和空间相关下的环境效率测度方法及应用研究，71603148，17万元，2017.01-2019.12, 主持
程序编写
gitee: Install Stata package in Gitee
installpkg: Stata Window Menu for installing package
xtplfc: Stata module to estimate partially linear functional-coefficient panel data models [github] [gitee]
mepi: Malmquist Energy Productivity Index in Stata [github] [gitee]
gftpch: Total Factor Productivity with Undesirable Outputs in Stata [github] [gitee]
malmq2: Malmquist Productivity index in Stata [github] [gitee]
sbmeff: Slacks-based Measure of Efficiency in Stata [github] [gitee]
ddfeff: Directional Distance Function for Efficiency/Productivity Analysis in Stata [github] [gitee]
reshape3: Stata module to enhance reshape for multilevel data [ssc install reshape3]
LMDI: Stata module to compute Logarithmic Mean Divisia Index Decomposition [ssc install lmdi]
LABONE: Stata module to label variables after import excel [ssc install labone]
TRANSLOG: Stata module to create new variables for a translog function [ssc install translog]
Some Stata commands on DEA models for energy and environmental efficiency evaluation
PSFA2010: Matlab module for Estimating Fixed-Effect Panel Stochastic Frontier Models by Model Transformation
PSECTA: Stata module for econometric convergent test and club clustering [findit psecta]

研究领域

应用计量经济学、能源和环境经济学，效率和生产率分析""

近期论文

1. Du, K., Yu, Y. and Wei, C# . Climatic impact on china s residential electricity consumption Does the level of income matter？China Economic Review, 2020,63, 101520.
2. Du, K., Zhang, Y.# and Zhou, Q. Estimating partially linear functional-coefficient panel data models with Stata. Stata Journal, forthcoming.
3. Du, K., Shao, S.# and Yan, Z. Urban residential energy demand and rebound effect in China: A stochastic energy demand frontier approach. The Energy Journal, online.
4. Zheming Yan, Baoling Zou, Kerui Du#, Ke Li, Do renewable energy technology innovations promote China's green productivity growth? Fresh evidence from partially linear functional-coefficient models, Energy Economics, 2020, 90, 104842.
5. Kerui Du#, Pengzhen Li, Zheming Yan#. Do green technology innovations contribute to carbon dioxide emission reduction? Empirical Evidence from Patent Data. Technological Forecasting & Social Change, Volume 146, September 2019, Pages 297-303.
6. Caiquan Bai, Kerui Du#, Ying Yu, Chen Feng. Understanding the trend of total factor carbon productivity in the world: Insights from convergence analysis. Energy Economics, Volume 81, June 2019, Pages 698-708
7. Jianglong Li, Hongxun Liu, Kerui Du#. Does market-oriented reform increase energy rebound effect? Evidence from China's regional development, China Economic Review, 2019，56，101304.
8. Kerui Du, Jianglong Li#. Towards a green world: How do green technology innovations affect total-factor carbon productivity. Energy Policy, Volume 131, August 2019, Pages 240-250.
9. Xin Yao#, Ruting Huang, Kerui Du. The impacts of market power on power grid efficiency: Evidence from China. China Economic Review，China Economic Review, Volume 55, June 2019, Pages 99-110.
10. Hongxun Liu, Kerui Du#，Jianglong Li. An improved approach to estimate direct rebound effect by incorporating energy efficiency: A revisit of China's industrial energy demand. Energy Economics, Volume 80, May 2019, Pages 720-730.
11. Kerui Du. Econometrics convergence test and club clustering using Stata. Stata Journal, 2017，Volume 17 Number 4， pp. 882-900.
12. Xiaoling Ouyang， Beiying Gao，Kerui Du# ，Gang Du#. Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration, Energy , Volume 145, 15 February 2018, Pages 408-416.
13. Zhi Li, Xiaoling Ouyang#, Kerui Du#, Yang Zhao, Does government transparency contribute to improved eco-efficiency performance? An empirical study of 262 cities in China, Energy Policy, Volume 110, November 2017, Pages 79-89.
14. Zheming Yan, Kerui Du#, Zhiming Yang, Min Deng, Convergence or divergence? Understanding the global development trend of low-carbon technologies, Energy Policy, Volume 109, 2017, Pages 499-509.
15. Zheming Yan; Lan Yi; Kerui Du#; Zhiming Yang. Impacts of Low-Carbon Innovation and Its Heterogeneous Components on CO2 Emissions. Sustainability, 2017, 9, 548.
16. Kerui Du; Boqiang Lin#; Chunping Xie. Exploring Change in China’s carbon intensity: a decomposition approach. Sustainability, 2017, 9(2), 296.
17. Kerui Du, Chunping Xie#, Xiaoling Ouyang#, A comparison of carbon dioxide (CO2) emission trends among provinces in China, Renewable and Sustainable Energy Reviews, Volume 73, June 2017, Pages 19-25.
18. Kerui Du and Boqiang Lin#. International comparison of total-factor energy productivity growth: A parametric Malmquist index approach. Energy, Volume 118, 1 January 2017, Pages 481-488.
19. Kerui Du and Boqiang Lin#. Understanding the rapid growth of China's energy consumption: A comprehensive decomposition framework. Energy, Volume 90, Part 1, October 2015, Pages 570–577.
20. Kerui Du and Boqiang Lin#. Comments on “Using latent variable approach to estimate China's economy-wide energy rebound effect over 1954-2010” by Shuai Shao, Tao Huang and Lili Yang. Energy Policy, Volume 86, November 2015, Pages 219–221.
21. Kerui Du #, Lu Huang, and Zhiming Yang. Understanding industrial energy productivity growth in China: a production-theoretical approach. Energy Efficiency, June 2015, Volume 8, Issue 3, pp 493-508.
22. Boqiang Lin# and Kerui Du. Measuring energy rebound effect in the Chinese economy: An economic accounting approach. Energy Economics, Volume 50, July 2015, Pages 96–104.
23. Boqiang Lin# and Kerui Du. Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach. Energy Economics, Volume 49, May 2015, Pages 550–557.
24. Boqiang Lin# and Kerui Du. Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter? Energy Policy, Volume 78, March 2015, Pages 113–124.
25. Boqiang Lin# and Kerui Du. Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy. Energy, Volume 76, 1 November 2014, Pages 884–890.
26. Boqiang Lin# and Kerui Du. Decomposing Energy Intensity Change: A Combination of Index Decomposition Analysis and Production-theoretical Decomposition Analysis. Applied Energy, Volume 129, 15 September 2014，Pages 158-165.
27. Kerui Du#, Lu Huang and Kun Yu. Sources of the potential CO2 emissions reduction in China: A nonparametric metafrontier approach. Applied Energy, Volume 115, 15 February 2014, Pages 491–501.
28. Boqiang Lin# and Kerui Du. Technology gap and China’s regional energy efficiency: A parametric metafrontier approach. Energy Economics, Volume 40, November 2013, Pages 529–536.
29. 林伯强,杜克锐. 要素市场扭曲对能源效率的影响. 经济研究,2013,09:125-136.
30. 林伯强,杜克锐. 理解中国能源强度的变化:一个综合的分解框架. 世界经济,2014,04:69-87.
31. 林伯强,杜克锐. 我国能源生产率增长的动力何在：基于距离函数的分解. 金融研究,2013, 09,84-96.
32. 杜克锐,罗能生. 电视台集团化还是竞争:一个产业组织的视角. 世界经济文汇,2011,06:11-31. （本科毕业论文）