Dr. SU Bin (B. Su) joined the Energy Studies Institute in September 2011 after finishing his PhD in the Department of Industrial and Systems Engineering at the National University of Singapore. He is now leading the energy modelling programme in the institute, and actively involved in many energy modelling related projects commissioned by government agencies. He received his Master’s degree in Probability Theory and Mathematical Statistics from the Academy of Mathematics and Systems Science at the Chinese Academy of Sciences, and two Bachelor degrees, a BSc in Statistics and BEng in Electronic Information Engineering, from the University of Science and Technology of China.

Dr Su is currently Programme Director of the Consortium for “Study on Singapore’s Energy and Decarbonization Pathways” funded by National Research Foundation and National Climate Change Secretariat, Singapore. His main research interest is energy and environmental systems modeling and analysis, with particular emphasis on energy efficiency, climate change, benchmarking, embodied energy and emissions, carbon footprint, carbon pricing, emissions trading and rebound effect. Dr. Su is presently Associate Editor of Energy Economics (ISSN: 0140-9883), Editorial Board Member of Reports on Economics and Finance (ISSN: 2367-7805) and Journal of Environmental Economics (CN42-1881/F), and referee for more than 50 international peer-reviewed journals. Recently, he edited the books on “China’s Energy Efficiency and Conservation: Sectoral Analysis” and “China’s Energy Efficiency and Conservation: Household Behaviour, Legislation, Regional Analysis and Impacts” (Springer, 2016).

Google Scholar: http://scholar.google.com.sg/citations?user=sugnjwoAAAAJ&hl=en

Researcher ID: http://www.researcherid.com/rid/B-7990-2011

• Energy economics and policy
• Energy and climate change
• Economic growth and the environment
• Modelling and analysis of large-scale energy systems

Referred Journal Articles

1)      Zeng, S.H.*, Jiang, X.*, Su, B.*, Nan, X., 2018. China’s SO₂ shadow prices and environmental technical efficiency at the provincial level. International Review of Economics & Finance, http://dx.doi.org/10.1016/j.iref.2018.02.014.

2)      Dong, F.*, Bai, Z.F., Yu, B.L., Wang, Y., Zhang, S.N., Li, J.Y., Su, B., Long, R.Y.*, 2018. Can land urbanization help to achieve CO2 intensity reduction target or hinder it? Evidence from China. Resources Conservation and Recycling 134, 206-215.

3)      Gao, C.X., Su, B.*, Sun, M.*, Zhang, X.L., Zhang, Z.H., 2018. Interprovincial transfer of embodied primary energy in China: A complex network approach. Applied Energy 215, 792-807.

4)      Han, L.*, Han, B.T., Shi, X.P.*, Su, B., Lv, X., Lei, X., 2018. Energy efficiency convergence across countries in the context of China's belt and road initiative. Applied Energy 213, 112-122.

5)      Zeng, S.H.*, Jiang, C.X.*, Ma, C., Su, B.*, 2018. Investment efficiency of the new energy industry in China. Energy Economics 70, 536-544.

6)      Wang, Q.W., Hang, Y., Su, B.*, Zhou, P., 2018. Contributions to sector-level carbon intensity change: An integrated decomposition analysis. Energy Economics 70, 12-25.

7)      Goh, T.*, Ang, B.W., Su, B., Wang, H., 2018. Drivers of stagnating global carbon intensity of electricity and the way forward. Energy Policy 113, 149-156.

8)      Wang, H.*, Ang, B.W., Su, B., 2017. A multi-region structural decomposition analysis of global CO₂ emission intensity. Ecological Economics 142, 163-176.

9)      Yuan, J., Nian, V.*, Su, B., Meng, Q., 2017. A simultaneous calibration and parameter ranking method for building energy models. Applied Energy 206, 657-666.

10)    Li, Y.Z.*, Shi, X.P., Su, B., 2017. Economic, social and environmental impacts of energy subsidies: A revisit of Malaysia. Energy Policy 110, 51-61.

11)    Li, Y.Z., Su, B.*, 2017. The impacts of carbon pricing on coastal megacities: A CGE analysis of Singapore. Journal of Cleaner Production 165, 1239-1248.

12)    He, P.J., Ng, T.S.*, Su, B., 2017. Energy-economic recovery resilience with input-output linear programming models. Energy Economics 68, 177-191.

13)    Wang, H.*, Ang, B.W., Su, B., 2017. Assessing drivers of economy-wide energy use and emissions: IDA versus SDA. Energy Policy 107, 585-599.

14)    Su, B.*, Ang, B.W., 2017. Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities. Energy Economics 65, 137-147.

15)    Su, B.*, Ang, B.W., Li, Y.Z., 2017. Input-output and structural decomposition analysis of Singapore’s carbon emissions. Energy Policy 105, 484-492.

16)    Ju, K.Y.*, Su, B., Zhou, D.Q., Wu, J., 2017. Does energy-price regulation benefit China’s economy and environment? Evidence from energy-price distortions. Energy Policy 105, 108-119.

17)    Wang, H.*, Ang, B.W., Su, B., 2017. Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues. Energy 123, 47-63.

18)    Zhang, Z.H., Zhao, Y.H.*, Su, B.*, Zhang, Y.F., Wang, S., Liu, Y., Li, H., 2017. Embodied carbon in China’s foreign trade: An online SCI-E and SSCI based literature review. Renewable and Sustainable Energy Review 68, 492-510.

19)    Zhang, Y.J.*, Peng, H.R., Su, B., 2017. The energy rebound effect in China’s industry: An aggregate and disaggregate analysis. Energy Economics 61, 199-208.

20)    Meng, F.Y., Su, B.*, Thomson, E., Zhou, D.Q., Zhou, P., 2016. Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey. Applied Energy 183, 1-21.

21)    Ju, K.Y.*, Su, B., Zhou, D.Q., Wu, J., 2016. Macroeconomic performance of oil price shocks: Outlier evidence from nineteen major oil-related countries/regions. Energy Economics 60, 325-332.

22)    Ang, B.W., Su, B., Wang, H.*, 2016. A spatial-temporal IDA approach to performance assessment in energy and emissions. Energy Economics 60, 112-121.

23)    Zhang, M.*, Su, B., 2016. Assessing China’s rural household energy sustainable development using improved grouped principal component method. Energy 113, 509-514.

24)    Su, B.*, Thomson, E., 2016. China’s carbon emissions embodied in (normal and processing) exports and their driving forces, 2006-2012. Energy Economics 59, 414-422.

25)    Su, B.*, Ang, B.W., 2016. Multi-region comparisons of emission performance: The structural decomposition analysis approach. Ecological Indicators 67, 78-87.

26)    Zeng, S.H.*, Hu, M.M, Su, B.*, 2016. Research on the investment efficiency of the culture industry in 31 provinces of China based on a three-stage DEA model. Sustainability 8(4), dio:10.3390/su8040324.

27)    Ang, B.W.*, Su, B., 2016. Carbon emission intensity in electricity production: A global analysis. Energy Policy 94, 56-63.

28)    Wang, Q.W., Su, B., Zhou, P., Chiu, C.R.*, 2016. Measuring total-factor CO₂ emission performance and technology gaps using a non-radial directional distance function: A modified approach. Energy Economics 56, 475-482.

29)    Zhou, D.Q., Wang, Q.W.*, Su, B., Zhou, P., Yao, L.X., 2016. Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis. Applied Energy 166, 201-209.

30)    Ju, K.Y.*, Su, B., Zhou, D.Q., Zhang, Y.Q., 2016. An incentive-oriented early warning system for predicting co-movements between oil price shocks and macroeconomy. Applied Energy 163, 452-463.

31)    Liu, T., Wang, Q.W.*, Su, B., 2016. A review of carbon labeling: Standards, implementation, and impact. Renewable and Sustainable Energy Reviews 53, 68-79.

32)    Zhang, M.*, Song, Y., Su, B., Sun, X., 2015. Decomposing the decoupling indicator between the economic growth and energy consumption in China. Energy Efficiency 8 (6), 1231-1239.

33)    Ju, K.Y.*, Su, B., Zhou, D.Q., Zhou, P., Zhang, Y.Q., 2015. Oil price crisis response: Capability assessment and key indicator identification. Energy 93, 1353-1360.

34)    Su, B.*, Ang, B.W., 2015. Multiplicative decomposition of aggregate carbon intensity change using input-output analysis. Applied Energy 154, 13-20.

35)    Ma, J.J., Liu, L.Q., Su, B., Xie, B.C.*, 2015. Exploring the critical factors and appropriate policies for reducing energy consumption of China’s urban civil building sector. Journal of Cleaner Production 103, 446-454.

36)    He, P.J., Ng, T.S.*, Su, B., 2015. Energy import resilience with input-output linear programming models. Energy Economics 50, 215-226.

37)    Wang, Q.W.*, Su, B., Sun, J., Zhou, P., Zhou, D.Q., 2015. Measurement and decomposition of energy-saving and emission reduction performance in Chinese cities. Applied Energy 151, 85-92.

38)    Ang, B.W., Xu, X.Y.*, Su, B., 2015. Multi-country comparisons of energy performance: The index decomposition analysis approach. Energy Economics 47, 68-76.

39)    Boey, A., Su, B.*, 2014. Low-carbon transport sectoral development and policy in Hong Kong and Singapore. Energy Procedia 61, 313-317.

40)    Soundararajan, K.*, Ho, H.K., Su, B., 2014. Sankey diagram framework for energy and exergy flows. Applied Energy 136, 1035-1042.

41)    Su, B.*, Ang, B.W., 2014. Attribution of changes in the generalized Fisher index with application to embodied emission studies. Energy 69, 778-786.

42)    Nian, V.J.*, Chou, S.K., Su, B., John, B., 2014. Life cycle analysis on carbon emissions from power generation – The nuclear energy example. Applied Energy 118, 68-82.

43)    Su, B.*, Ang, B.W., 2014. Input-output analysis of CO₂ emissions embodied in trade: A multi-region model for China. Applied Energy 114, 377-384.

44)    Su, B.*, Ang, B.W., 2013. Input-output analysis of CO₂ emissions embodied in trade: Competitive versus non-competitive imports. Energy Policy 56, 83-87.

45)    Su, B.*, Ang, B.W., Low, M., 2013. Input-output analysis of CO₂ emissions embodied in trade and the driving forces: Processing and normal exports. Ecological Economics 88, 119-125.

46)    Su, B.*, Ang, B.W., 2012b. Structural decomposition analysis applied to energy and emissions: Aggregation issues. Economic Systems Research 24 (3), 299-317.

47)    Su, B.*, Ang, B.W., 2012a. Structural decomposition analysis applied to energy and emissions: Some methodological developments. Energy Economics 34 (1), 177-188.

48)    Su, B.*, Ang, B.W., 2011. Multi-region input-output analysis of CO₂ emissions embodied in trade: The feedback effects. Ecological Economics 71, 42-53.

49)    Su, B.*, Ang, B.W., 2010. Input-output analysis of CO₂ emissions embodied in trade: The effects of spatial aggregation. Ecological Economics 70 (1), 10-18.

50)    Su, B.*, Huang, H.C., Ang, B.W., Zhou, P., 2010. Input-output analysis of CO₂ emissions embodied in trade: The effects of sector aggregation. Energy Economics 32 (1), 166-175.

Book Publications

- Su, B., Thomson, E., 2016a. China’s Energy Efficiency and Conservation: Sectoral Analysis. Springer Briefs in Environment, Security, Development and Peace Vol.30, Singapore. ISBN: 978-981-10-0735-4 (Print) 978-981-10-0737-8 (Online).
http://link.springer.com/book/10.1007/978-981-10-0737-8

- Su, B., Thomson, E., 2016b. China’s Energy Efficiency and Conservation: Household Behaviour, Legislation and Impacts. Springer Briefs in Environment, Security, Development and Peace Vol.31, Singapore. ISBN: 978-981-10-0927-3 (Print) 978-981-10-0928-0 (Online).
http://link.springer.com/book/10.1007/978-981-10-0928-0

IRJ Referee Service

Since 2008, Dr. Su has regularly served as a referee for more than 50 international peer-reviewed journals (IRJ), including Nature Climate Change, Nature Communication, Nature Sustainability, Proceedings of the National Academy of Science of the United States of America, Environmental Science & Technology, Energy Policy, Energy Economics, Ecological Economics, Environmental and Resource Economics, Applied Energy, Energy, Global Environmental Change, Ecological Indicators, Ecological Modelling, International Journal of Global Energy Issues, Science of the Total Environment, Energy for Sustainable Development, Communications in Nonlinear Science and Numerical Simulation, Economic Systems Research, Structural Change and Economic Dynamics, Environmental Development, Chinese Journal of Population-Resource and Environment, Frontiers of Earth Science, PLOS One, Letters in Spatial and Resource Sciences, Journal of Systems Science and Complexity, International Journal of Global Environmental Issues, Economic Modeling, Natural Hazards, Ecological Informatics, Journal of Systems Science and Systems Engineering, Energies, Emerging Markets Finance and Trade, Journal of Cleaner Production, Climate Policy, Energy Sustainability and Society, Resources, Conservation & Recycling, Journal of Renewable and Sustainable Energy, China Economic Review, Journal of Environmental Planning and Management, Singapore Economic Review, Population and Environment, Journal of Industrial Ecology, Environment, Development and Sustainability, Carbon Management, Sustainable Cities and Society, Technological Forecasting & Social Change, Resources and Energy Economics, Environmental Science & Policy, Environmental Science and Pollution Research, Environmental Engineering Research, Environment and Development Economics, Journal of Environmental Economics and Policy, Environmental Modelling and Software, Cities, Environmental Pollution, Joule, Journal of Environmental Management, Energy Sources, Part B: Economics, Planning, and Policy.

Reading Materials for Master Module “IE5206 Energy and Sustainability”