Su Bin

SU Bin

Sr Research Fellow (Energy Studies Institute, Courtesy appointment)

Department of Industrial Systems Engineering and Management

Research Interests

  • Energy economics and policy

  • Energy and climate change

  • Economic growth and the environment

  • Modelling and analysis of large-scale energy systems

Research Highlights

  • Zhang, M.*, Li, H., Su, B., Yang, X., 2020. Using a new two-dimensional decoupling model to evaluate the decoupling state of global energy footprint. Sustainable Cities and Society 63, 102461.
  • Li, W.*, Xu, D., Li. G.M., Su, B.*, 2020. Structural path and decomposition analysis of aggregate embodied energy intensities in China, 2012-2017. Journal of Cleaner Production 276, 124185.
  • Zhang, C.*, Su, B., Zhou, K.L., Sun, Y., 2020. A multi-dimensional analysis of microeconomic factors on China’s industrial energy intensity (2000-2017). Energy Policy 147, 111836.
  • Wang, L.F., Zhang, B., Xie, R.*, Su, B., 2020. The drivers of export value-added in China’s province: A multi-regional input-output model. Applied Economics 52(57), 6199-6214.
  • Su, B.*, Ang, B.W., 2020. Demand Contributors and Driving Factors of Singapore’s Aggregate Carbon Intensities. Energy Policy 146, 111817.
  • Liu, D., Zeng, X.M.*, Su, B., Wang, W.B., Sun, K., 2020. A social network analysis regarding electricity consumption and economic growth in China. Journal of Cleaner Production 274, 122973.
  • Kang, J.D.*, Ng, T.S., Su, B., 2020. Optimizing electricity mix for CO2 emissions reduction: A robust input-output liner programming model. European Journal of Operational Research 287, 280-292.
  • Zhu, B.Z., Su, B.*, Li, Y.Z., Ng, T.S., 2020. Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015. Energy Economics 91, 104911.
  • Zhao, L.X., Yang, C.X.*, Su, B., Zeng, S.H., 2020. Research on a single policy or policy mix in carbon emissions reduction. Journal of Cleaner Production 267, 122030.
  • Yan, J.N., Su, B.*, 2020. Spatial differences in energy performance among four municipalities of China: From both the aggregate and final demand perspectives. Energy 204, 117915.
  • Zhang, Z.H.*, Zhang, G.X.*, Song, S.F., Su, B., 2020. Spatial heterogeneity influences of environmental control and informal regulation on air pollutant emissions in China. International Journal of Environmental Research and Public Health 17(13), 4857.
  • Yan, J.N., Su, B.*, 2020. What drive the changes in China’s energy consumption and intensity during 12th Five-Year Plan period? Energy Policy 140, 111383.
  • Wang, H.Y., Su, B.*, Mu, H.L.*, Li, N., Gui, S., Duan, Y., Jiang, B., 2020. Optimal way to achieve renewable portfolio standard policy goals from electricity generation, transmission and trading perspectives in Southern China. Energy Policy 139, 111319.
  • Song, Y., Sun, J., Zhang, M.*, Su, B., 2020. Using the Tapio-Z decoupling model to evaluate the decoupling status of China’s CO2 emissions at province level and its dynamic trend. Structural Change and Economic Dynamics 52, 120-129.
  • Zhang, Y.J.*, Liu, J.Y., Su, B., 2020. Carbon congestion effects in China’s industry: Evidence from provincial and sectoral perspectives. Energy Economics 86, 104635.
  • Kang, J.D.*, Ng, T.S., Su, B., Yuan, R., 2020. Optimizing the Chinese electricity mix for CO2 emissions reduction: An input-output linear programming model with endogenous capital. Environmental Science & Technology 54(2), 697-706.
  • Zhu, B.Z.*, Zhang, M.F., Huang, L.Q., Wang, P.*, Su, B.*, Wei, Y.M., 2020. Exploring the effect of carbon trading mechanism on China’s green development efficiency: A novel integrated approach. Energy Economics 85, 104601.
  • Zhou, X.Y., Zhou, D.Q., Wang, Q.W.*, Su, B., 2020. Who shapes China’s carbon intensity and how? A demand-side decomposition analysis. Energy Economics 85, 104600.
  • Wang, Z.G., Su, B., Xie, R.*, Long, H.Y., 2020. China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis. Energy Economics 85, 104568.
  • Zhang, Z.H., Lu, X.*, Su, B.*, Zhao, Y.H., Wang, S., Liu, Y., Li, H., Zhang, Y.F., Ahmad, A., Shi, G., 2019. Evaluation of the Energy, CO2 and Value Added Flows Embodied in the International Trade of the BRICS group. Renewable and Sustainable Energy Review 116, 109432.
  • Rao, G.M., Su, B., Li, J.L., Wang, Y.*, Zhou, Y.H.*, Wang, Z.L., 2019. Carbon sequestration total factor productivity growth and decomposition: A case of the Yangtze River Economic Belt of China. Sustainability 11 (23), 6809.
  • Zhang, X.M.*, Su, B., Yang, J., Cong, J., 2019. Index decomposition and attribution analysis of aggregate energy intensity in Shanxi Province (2000-2015). Journal of Cleaner Production 238, 117897.
  • Yuan, J., Victor Nian*, Su, B., 2019. Evaluation of cost-effective building retrofit strategies through a meta-model-based Bayesian method and a life cycle cost assessment method. Applied Energy 253, 113573.
  • Yang, X.*, Su, B., 2019. Impacts of international export on global and regional carbon intensity. Applied Energy 253, 113552.
  • He, P.J.*, Ng, T.S., Su, B., 2019. Energy resilience with multi-region input-output linear programming models. Energy Economics 84, 104569.
  • Su, B.*, Ang, B.W., Li, Y.Z., 2019. Structural path and decomposition analysis of aggregate embodied energy and emission intensities. Energy Economics 83, 345-360.
  • Hang, Y., Wang, Q.W.*, Wang, Y.Z., Su, B., Zhou, D.Q., 2019. Industrial SO2 emissions treatment in China: a temporal-spatial whole process decomposition analysis. Journal of Environmental Management 243, 419-434.
  • Yang, X.*, Feng, K.S., Su, B., Zhang, W.Z., Huang, S., 2019. Environmental inefficiency and inequality embodied in China’s interregional trade. Science of the Total Environment 672, 150-161.
  • Zhou, X.Y., Zhou, D.Q., Wang, Q.W.*, Su, B., 2019. How information and communication technology drives carbon emissions: A sector-level analysis for China. Energy Economics 81, 380-392.
  • Zhang, C., Su, B., Zhou, K.*, Yang, S., 2019. Decomposition analysis of China’s CO2 emissions (2000-2016) and scenario analysis of its carbon intensity targets in 2020 and 2030. Science of the Total Environment 668, 432-442.
  • Li, J., Zhang, D.Y., Su, B.*, 2019. The impact of social awareness and lifestyles on household carbon emissions in China. Ecological Economics 160, 145-155.
  • Liu, N., Ma, Z.J., Kang, J.D.*, Su, B., 2019. A multi-region multi-sector decomposition and attribution analysis of aggregate carbon intensity in China from 2000 to 2015. Energy Policy 129, 410-421.
  • Wang, H.Y., Su, B.*, Mu, H.L.*, Li, N., Jiang, B., Kong, X., 2019. Optimization of electricity generation and interprovincial trading strategies in Southern China. Energy 174, 696-707.
  • Meng, F.Y., Su, B.*, Bai, Y., 2019. Rank reversal issues in DEA models for China’s regional energy efficiency assessment. Energy Efficiency 12(4), 993-1006.
  • Zhang, C., Su, B., Zhou, K.*, Yang, S., 2019. Analysis of electricity consumption in China (1990-2016) using index decomposition and decoupling approach. Journal of Cleaner Production 209, 224-235.
  • Dong, F.*, Wang, Y., Su, B., Hua, Y.*, Zhang, Y., 2019. The process of peak CO2 emissions in developed economies: A perspective of industrialization and urbanization. Resources, Conservation and Recycling 141, 61-75.
  • Zhu, B.Z., Su, B.*, Li, Y.Z., 2018. Input-output and structural decomposition analysis of India’s carbon emissions and intensity, 2007/08-2013/14. Applied Energy 230, 1545-1556.
  • Li, Y.Z., Su, B.*, Dasgupta, S., 2018. Structural path analysis of India’s carbon emissions using input-output and social accounting matrix frameworks. Energy Economics 76, 457-469.
  • Yuan, J.N.*, Su, B., Liu, Y., 2018. Multiplicative structural decomposition and attribution analysis of carbon emission intensity in China, 2002-2012. Journal of Cleaner Production 198, 195-207.
  • 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 57, 86-102.
  • Guo, J.F., Su, B., Yang, G., Feng, L.Y., Liu, Y.P., Gu, F.*, 2018. How do verified emissions announcements affect the co-movements between trading behaviours and carbon prices? An empirical big data study on the EU ETS. Sustainability 10(9), 3255.
  • Tan, X.J., Liu, Y.*, Cui, J.B., Su, B., 2018. Assessment of carbon leakage by channels: An approach combining CGE model and decomposition analysis. Energy Economics 74, 535-545.
  • Sheng, Y., Shi, X.P.*, Su, B., 2018. Re-analyzing the economic impact of a global bunker emissions charge. Energy Economics 74, 107-119.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Wang, H.*, Ang, B.W., Su, B., 2017. A multi-region structural decomposition analysis of global CO2 emission intensity. Ecological Economics 142, 163-176.
  • 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.
  • Li, Y.Z.*, Shi, X.P., Su, B., 2017. Economic, social and environmental impacts of fuel subsidies: A revisit of Malaysia. Energy Policy 110, 51-61.
  • 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.
  • He, P.J., Ng, T.S.*, Su, B., 2017. Energy-economic recovery resilience with input-output linear programming models. Energy Economics 68, 177-191.
  • 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.
  • Su, B.*, Ang, B.W., 2017. Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities. Energy Economics 65, 137-147.
  • 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.
  • 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.
  • Wang, H.*, Ang, B.W., Su, B., 2017. Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues. Energy 123, 47-63.
  • 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.
  • 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.
  • 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.
  • 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.
  • Ang, B.W., Su, B., Wang, H.*, 2016. A spatial-temporal decomposition approach to performance assessment in energy and emissions. Energy Economics 60, 112-121.
  • Zhang, M.*, Su, B., 2016. Assessing China’s rural household energy sustainable development using improved grouped principal component method. Energy 113, 509-514.
  • 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.
  • Su, B.*, Ang, B.W., 2016. Multi-region comparisons of emission performance: The structural decomposition analysis approach. Ecological Indicators 67, 78-87.
  • Zeng, S.H.*, Hu, M.M, Su, B.*, 2016. Research on investment efficiency and policy recommendations for the culture industry of China based on a three-stage DEA. Sustainability 8(4), dio:10.3390/su8040324.
  • Ang, B.W.*, Su, B., 2016. Carbon emission intensity in electricity production: A global analysis. Energy Policy 94, 56-63.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Su, B.*, Ang, B.W., 2015. Multiplicative decomposition of aggregate carbon intensity change using input-output analysis. Applied Energy 154, 13-20.
  • 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.
  • He, P.J., Ng, T.S.*, Su, B., 2015. Energy import resilience with input-output linear programming models. Energy Economics 50, 215-226.
  • 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.
  • 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.
  • Boey, A., Su, B.*, 2014. Low-carbon transport sectoral development and policy in Hong Kong and Singapore. Energy Procedia 61, 313-317.
  • Soundararajan, K.*, Ho, H.K., Su, B., 2014. Sankey diagram framework for energy and exergy flows. Applied Energy 136, 1035-1042.
  • Su, B.*, Ang, B.W., 2014. Attribution of changes in the generalized Fisher index with application to embodied emission studies. Energy 69, 778-786.
  • 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.
  • 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.
  • 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.
  • 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.
  • Su, B.*, Ang, B.W., 2012b. Structural decomposition analysis applied to energy and emissions: Aggregation issues. Economic Systems Research 24 (3), 299-317.
  • Su, B.*, Ang, B.W., 2012a. Structural decomposition analysis applied to energy and emissions: Some methodological developments. Energy Economics 34 (1), 177-188.
  • 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.
  • 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.
  • 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