Research reveals China’s reversing emission flows
The flow of China’s carbon emissions has reversed according to new research led by scientists at the University of East Anglia.
Dr. Zhifu Mi is a Senior Research Associate in the School of International Development, University of East Anglia (UEA) and a Senior Researcher in the Tyndall Centre for Climate Change Research. His research is focused on climate change mitigation, energy policy, and climate change economic theories and modelling. He has authored over 20 articles in peer-reviewed journals such as Climatic Change, Environmental Research Letters, Energy Policy, and Applied Energy. He was invited to write a review article entitled Integrated Assessment Models (IAMs) for Climate Change in Oxford Bibliographies which invites top scholars and researchers in the field to contribute. He has served as an author for Chapter 37 on International Policies and Actions to Tackle Climate Change in the Third National Assessment Report on Climate Change which is known as Chinese “IPCC Assessment Report”. He is a Guest editor for Journal of Cleaner Production (IF=4.959) and Mathematics and Computers in Simulation (IF=1.124), and a Subject Editor for Chinese Journal of Population, Resources and Environment.
1. Mi Zhifu, Meng J, Guan D, et al. 2017. Pattern changes in determinants of Chinese emissions. Environmental Research Letters. Doi: 10.1088/1748-9326/aa69cf. (IF=4.134)
2. Mi Zhifu, Wei Y, Wang B, et al. 2017. Socioeconomic impact assessment of China’s CO2 emissions peak prior to 2030. Journal of Cleaner Production. 142: 2227-2236. (IF=4.959)
3. Mi Zhifu, Wei Y, He C, et al. 2017. Regional efforts to mitigate climate change in China: A multi-criteria assessment approach. Mitigation and Adaptation Strategies for Global Change. 22: 45-66. (IF=3.085)
4. Mi Zhifu, Wei Y, Tang B, et al. 2017. Risk assessment of oil price from static and dynamic modelling approaches. Applied Economics. 49(9):929-939. (IF=0.586)
5. Meng J, Mi Zhifu, Yang H, et al. 2017. The consumption-based black carbon emissions of China's megacities. Journal of Cleaner Production. Doi: 10.1016/j.jclepro.2017.02.185. (IF=4.959)
6. Wang B, Mi Zhifu, Nistor L, Yuan X. 2017. How does hydrogen-based renewable energy change with economic development? Empirical evidence from 32 countries. International Journal of Hydrogen Energy. DOI: 10.1016/j.ijhydene.2017.03.059. (IF=3.205)
7. Mi Zhifu, Zhang Y, Guan D, et al. 2016. Consumption-based emission accounting for Chinese cities. Applied Energy. 184:1073-1081. (IF=5.746)
8. Yang Z, Wei Y, Mi Zhifu. 2016. Integrated assessment models (IAMs) for climate change. Oxford Bibliographies. DOI: 10.1093/OBO/9780199363445-0043. (Invited review)
9. Yuan X, Sun X, Lall U, Mi Zhifu, He J, Wei Y. 2016. China's socioeconomic risk from extreme events in a changing climate: a hierarchical Bayesian model. Climatic Change. 139(2):139-169. (IF=3.344)
10. Yu H, Wei Y, Tang B, Mi Zhifu, Pan S. 2016. Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis. Applied Energy. 184:960-970. (IF=5.746)
11. Mi Zhifu, Pan S, Yu H, Wei Y. 2015. Potential impacts of industrial structure on energy consumption and CO2 emission: a case study of Beijing. Journal of Cleaner Production. 103: 455–462. (IF=4.959)
12. Wei Y, Mi Zhifu, Huang Z. 2015. Climate policy modeling: an online SCI-E and SSCI based literature review. OMEGA–The International Journal of Management Science. 57: 70-84. (IF=3.962)
13. Li H, Wei Y, Mi Zhifu. 2015. China’s carbon flow: 2008–2012. Energy Policy. 80: 45-53. (IF=3.045)
14. Yu H, Pan S, Tang B, Mi Zhifu, Zhang Y, Wei Y. 2015. Urban energy consumption and CO2 emissions in Beijing: current and future. Energy Efficiency. 8(3): 527-543. (IF=1.183)
15. Mi Zhifu, Zhang Y. 2011. Estimating the ‘value at risk’ of EUA futures prices based on the extreme value theory. International Journal of Global Energy Issues. 35(2/3/4): 145-157.