ְƣ
䣺zhuqt@cup.edu.cn
һ
2009/9 -- 2012/7йѧԺоԺѧ빤רҵʿѧλ
2004/7 -- 2005/9Ӣѧ̹רҵ˶ʿѧλ
2000/9 -- 2003/7ѧѧרҵڶ
1999/9 -- 2003/7ʦѧѧ뼼רҵѧʿѧλ
2017/6йʯʹѧùѧԺ
2016/2 -- 2017/2ɴѧطУѧѧԺѧ
2013/7 -- 2017/7йѧԺ뼼оʿ
2012/9 -- 2017/6йʯʹѧ̹ѧԺʦ
仯ýģģ
a) 仯ѧģ
b) ̼̼ʵ
ģ⣨ABS,Agent-based Simulationϵͳ
a) ABS
b) ABSڵеϵͳƽ̨
? ˶ʿָרҵѧ빤̣MBA
仯ѧѧϢϵͳ
1. 2019-2022꣬Ȼѧϻ41871219ЭҹвķƼо-ڿɼģ⣬ӿ⸺
2. 2016-2018꣬Ȼѧ41501127ʵ2030ֵ̼ŵݻѧļ·ģ⣬һ
3. 2013-2015꣬йʯʹѧ˲ĿYJRC-2013-23:agentģ̼ģоһ
4. 2012-2016꣬شоչƻ973Ŀ2012CB955800仯ù̵ĸԻơͼģʹģƽ̨зӿ⣺̼ס̼ʻƻģͼԵξѧṹһ
5. 2015-2016꣬ѧ14CGJ025 йȫ仯̸еĵԵξòģ⼰սоӿ⸺
ѧ
1. Qianting zhu, wenwu tang. 2017. Regional-level Carbon Allocation in China Based on Sectoral Emission Patterns under the Peak Commitment. Sustainability, 9(4):552. (SCI/SSCI)
2. Qianting Zhu, Jiqiang Wang. 2017. Insights on Chinas Climate Change Policies. Geopolitics of Energy, 39(2):9-15.
3. Qianting Zhu, Jing Wu, Keran Duan & Zheng Wang. 2016. Agent-based Modeling of Global Carbon Trading and Its Policy Implications for China in the post-Kyoto Era. Emerging Markets Finance and Trade, 5206: 1348 C 1360. (SSCI)
4. Wang Z, Wu J, Zhu Q T, et al. 2012. MRICES: A New Model for Emissions Mitigation Scheme Assessment and Its Application. Journal of Geographical Sciences22(6) 1131-1148. (SCI)
5. DZͦȣ. 2019. һ廯½ͨҵ̼ŷź㼰Ӱо. ѧѧѧ
6. DZͦ. 2018. ϢϵͳƱƿγ̵ĸͽѧĸ̽. ʵѧо, 12:16-17
7. DZͦһܰ£⾲. 2017. Ŀģʽʡ̼о--ԱΪ. ̬ã334 14-18.
8. DZͦ. 2017. ݻѧӽǵ̼ģо. йۣ13175-177.
9. DZͦ. 2017. ȷҹδ̼·ģо. ִ̰칤ҵ
10. DZͦѩ⾲. 2016. ɼ㾭ѧľԴģо. ѧѧѧ30435-40.
11. DZͦ⾲麣أ. 2015. ʱȫ̼ŷȨģо.ѧѧ351329-336.
12. DZͦ⾲2013. MRICESģ͵ģ. ̬ѧ33113499-3508.
13. DZͦ⾲2012. ȫ̼ģ. о319 1547-1558.ѡйƼƷڿѧ--5000Ŀ
14. ⾲DZͦ2015. ģлģĽģо. ϵͳ̣3311107-112.
15. ⾲DZͦ£. 2014. DICE/ RICE ģ̼ѭģıȽ. ̬ѧ34226734-6744.
16. ⾲DZͦ2012. зͶʶȫӰģ. ѧѧо304517-525.
17. DZͦ⾲2011. ȷµйŷѰо. йѧԺԺ3261-270.
18. ⾲, , DZͦ. 2016. ۴µйԴ̼ŷо. ϵͳ븴Կѧ13468-79.
19. ⾲ڣDZͦ. 2013. ̸еĹҼŷ. йѧԺԺ286716-724.
20. ⾲DZͦ. 2010. .ȫ뻷ѧ692-97.
21. ⾲˧DZͦ. 2012. Ѱȫ̼ŷ仯ѧ:ģϵͳӦ. йѧԺԺ5595-601.
ѧר
1. DZͦڣ⾲. 2014. ģ̼ģо.ѧ.
Ȩ
1. ģȫ̼ϵͳ, ֵ0845621,2014.
2. ǶGISĻģ, ֵ0845621, 2011.
3. ģϵͳ, ֵBJ29388, 2010.
1. 2014ʯʹѧѧԺ
2. 2006㽭ʡͶᱣ䷢㽭ʡֳƺţ
3. 2006ڶй㽭
