Ian Sue Wing
Professor, Dept. of Earth & Environment
Address: 675 Commonwealth Ave., Rm. 461, Boston University, Boston MA 02215
Phone: (617) 353-5741 Fax: (617) 353-8399
Email: isw at bu dot edu

Courses taught:

  • CAS/EE420 - GRS/EE620 Environmental Policy Analysis
  • CAS/EE425 - CAS/EE625 US Environmental Policy
  • Research in Progress:

  • The synthesis of top-down and bottom-up modeling: energy technology detail in CGE simulations for energy and climate policy analysis
  • Implications of international trade and technology transmission for carbon leakage
  • Economic and technological uncertainties: implications for the costs of U.S. climate stewardship
  • Impacts of climate change on agricuture, energy and water
  • Modeling the impacts disasters and extreme events at regional scales
  • Vita



    Published and accepted:

    1. Ellerman, A.D. and I. Sue Wing (2003). Absolute v. Intensity-Based Emission Caps, Climate Policy 3 (Supplement 2): S7-S20.
    2. Sue Wing, I. (2006). The Synthesis of Bottom-Up and Top-Down Approaches to Climate Policy Modeling: Electric Power Technologies and the Cost of Limiting U.S. CO2 Emissions, Energy Policy 34: 3847-3869.
    3. Sue Wing, I. (2006). Representing Induced Technological Change in Models for Climate Policy Analysis, Energy Economics 28: 539–562.
    4. Sue Wing, I., and W.P. Anderson (2007). Modeling Small Area Economic Change in Conjunction with a Multiregional CGE Model, in R.J. Cooper, K.P. Donaghy and G.J.D. Hewings (eds.), Globalization and Regional Economic Modeling, Springer-Verlag (Advances in Spatial Science).
    5. Sue Wing, I. and R.S. Eckaus (2007). The Decline in U.S. Energy Intensity: Its Origins and Implications for Long-Run CO2 Emission Projections, Energy Policy 35: 5267–5286
    6. Sue Wing, I. (2008). The Synthesis of Bottom-Up and Top-Down Approaches to Climate Policy Modeling: Electric Power Technology Detail in a Social Accounting Framework, Energy Economics 30: 547-573.
    7. Sue Wing, I. (2008). Explaining the Declining Energy Intensity of the U.S. Economy, Resource and Energy Economics 30: 21–49. [Supplementary materials]
    8. Fisher-Vanden, K. and I. Sue Wing (2008). Accounting for Quality: Issues with Modeling the Impact of R&D on Economic Growth and Carbon Emissions in Developing Economies, Energy Economics 30(6): 2771-2784.
    9. Sue Wing, I., A.D. Ellerman and J.M. Song (2009). Absolute vs. Intensity Limits for CO2 Emission Control: Performance Under Uncertainty, in H. Tulkens and R. Guesnerie (eds.), The Design of Climate Policy, MIT Press, 221-252.
    10. Sue Wing, I. (2009). Computable General Equilibrium Models for the Analysis of Energy and Climate Policies, in J. Evans and L.C. Hunt (eds.), International Handbook On The Economics Of Energy, Cheltenham: Edward Elgar, 332-366.
    11. Sue Wing, I. and J.L. Walker (2010). The Geographic Dimensions of Electoral Polarization in the 2004 U.S. Presidential Vote, in A. Paez, J. Le Gallo, R. Buliung, and S. Dall'Erba (eds.) Progress in Spatial Analysis: Theory and Computation, and Thematic Applications, New York: Springer, 253-285.
    12. Webster, M., I. Sue Wing and L. Jakobovits (2010). Second-Best Instruments for Near-Term Climate Policy: Intensity Targets vs. the Safety Valve, Journal of Environmental Economics and Management 59: 250-259.
    13. National Research Council (2010). Hidden Costs of Energy: Unpriced Consequences of Energy Production and Use, Washington DC: National Academies Press.
    14. Bauer, D.M. and I. Sue Wing (2010). Economic Consequences of Pollinator Declines: A Synthesis, Agricultural and Resource Economics Review 39: 368–383.
    15. Porter, K., et al (2010). Overview of the ARkStorm scenario: U.S. Geological Survey Open-File Report 2010-1312.
    16. Sue Wing, I. (2011). Computable General Equilibrium Models for the Analysis of Economy-Environment Interactions, in A. Batabyal and P. Nijkamp (eds.) Research Tools in Natural Resource and Environmental Economics, Hackensack: World Scientific, 255-305.
    17. Fisher-Vanden, K., K. Daenzer, I. Sue Wing and K. Calvin (2012). Decomposing the Impact of Alternative Technology Sets on Future Carbon Emissions Growth, Energy Economics 34(Supp. 3): S359-S365.
    18. Fisher-Vanden, K., I. Sue Wing, E. Lanzi and D.C. Popp (2013). Modeling climate change feedbacks and adaptation responses: recent approaches and shortcomings, Climatic Change 117: 481-495.
    19. Lanzi, E. and I. Sue Wing (2013). Capital Malleability, Emission Leakage and the Cost of Partial Climate Policies: General Equilibrium Analysis of the European Union Emission Trading System, Environmental and Resource Economics 55: 257-289.
    20. Sue Wing, I. and K. Fisher-Vanden. (2013). Confronting the Challenge of Integrated Assessment of Climate Adaptation: A Conceptual Framework, Climatic Change 117: 497-514.
    21. Gately, C.K., L.R. Hutyra, I. Sue Wing and M.N. Brondfield. (2013). A bottom up approach to on-road CO2 emissions estimates: improved spatial accuracy and applications for regional planning, Environmental Science and Technology 47: 2423-2430. [Supplementary information]
    22. Baldwin, J. and I. Sue Wing (2013). The Spatiotemporal Evolution of U.S. Carbon Dioxide Emissions: Stylized Facts and Implications for Climate Policy, Journal of Regional Science 53: 672-689.
    23. Wein, A., A. Rose, I. Sue Wing, and D. Wei (2013). Economic Impacts of the SAFRR Tsunami Scenario in California, in S. Ross and L. Jones (eds.), The SAFRR (Science Application for Risk Reduction) Tsunami Scenario, USGS Open File Report 2013–1170, Chapter H.
    24. Daenzer, K., I. and K. Fisher-Vanden (2014). Coal’s medium-run future under atmospheric greenhouse gas stabilization, Climatic Change 123: 763-783.
    25. Jacoby et al (2014). Ch. 27: Mitigation, in J.M. Melillo, T.C. Richmond, and G.W. Yohe (eds.), Climate Change Impacts in the United States: The Third National Climate Assessment, U.S. Global Change Research Program, 27-1–27-nn.
    26. Keenan, T.F., et al (2014). Net carbon uptake has increased through warming-induced changes in temperate forest phenology, Nature Climate Change 4: 598–604.
    27. Sue Wing, I. and E. De Cian (2014). Integrated assessment: Modelling agricultural adaptation, Nature Climate Change 4: 535–536.
    28. Fisher-Vanden, K., D. Popp and I. Sue Wing (2014). Introduction to the Special Issue on Climate Adaptation: Improving the connection between empirical research and integrated assessment models, Energy Economics 46: 495-499. [Energy Economics special issue] [NBER workshop papers]
    29. Sue Wing, I., A.Z. Rose and A. Wein (2015). Economic Impacts of the ARkStorm Scenario, Natural Hazards Review 10.1061/(ASCE)NH.1527-6996.0000173, A4015002. [Supplementary information]
    30. Gately, C.K, L.R. Hutyra and I. Sue Wing (2015). Cities, traffic, and CO2: A multidecadal assessment of trends, drivers, and scaling relationships, PNAS 112: 4999–5004.
    31. Sue Wing, I., E. Monier, A. Stern, and A. Mundra (2015). US major crops’ uncertain climate change risks and greenhouse gas mitigation benefits, Environmental Research Letters 10: 115002-115013(12)
    32. Rose, A., I. Sue Wing, D. Wei and A. Wein (2015). Economic Impacts of a California Tsunami, Natural Hazards Review10.1061/(ASCE)NH.1527-6996.0000212 , 04016002.
    33. Bauer, D. and I. Sue Wing (2016). The Macroeconomic Cost of Catastrophic Pollinator Declines, Ecological Economics 126: 1-13.
    34. Noelke, C., M. McGovern, D. Corsi, M. Pescador-Jimenez, A. Stern, I. Sue Wing and L. Berkman (2016). Increasing Ambient Temperature Reduces Emotional Well-Being, Environmental Research, 151: 124-129.
    35. Gately, C., L. Hutyra, S. Peterson and I. Sue Wing (2017). Urban Emissions Hotspots: Quantifying Vehicle Congestion and Air Pollution Using Mobile Phone GPS Data, Environmental Pollution 229: 496-504.
    36. Mistry, M., I. Sue Wing and E. De Cian (2017). Simulated vs. empirical weather responsiveness of crop yields: US evidence and implications for the agricultural impacts of climate change, Environmental Research Letters 12: 075007.
    37. Sue Wing, I. and E.J. Balistreri (2018). Computable General Equilibrium Models for Economic Policy Evaluation and Economic Consequence Analysis, in S.-H. Chen, M. Kaboudan and Y.-R. Du (eds.), Oxford University Press Handbook on Computational Economics and Finance, 139-203.
    38. Sue Wing, I. and G. Timilsina (2018). Targeted Technology Strategies for Low-Carbon Economic Growth: Linking Bottom-Up and Top-Down Assessments, in R. Fouquet (ed.), Handbook on Green Growth, Northampton MA: Edward Elgar, 139-164.
    39. De Cian, E. and I. Sue Wing (2019). Global Energy Consumption in a Warming Climate, Environmental and Resource Economics 72: 365-410.
    40. Van Ruijven, B., E. De Cian and I. Sue Wing (2019). Amplification of Future Energy Demand Growth due to Climate Change, Nature Communications 10, Art. 2762.
    41. Waldhoff, S., I. Sue Wing, J. Edmonds, G. Leng and X. Zhang (2020). Future climate impacts on global agricultural yields over the 21st century, Environmental Research Letters 15: 114010.
    42. Sue Wing, I. and A. Rose (2020). Economic consequence analysis of electric power infrastructure disruptions: General equilibrium approaches, Energy Economics 89: 104756.
    43. Sue Wing, I., D. Wei, A. Rose and A. Wein (2021). Economic Consequences of the HayWired Scenario—Digital and Utility Network Linkages and Resilience, in S. Detweiler and A. Wein, The HayWired Earthquake Scenario—Societal Consequences, USGS Scientific Investigations Report No. 2017–5013–R–W, U.S. Dept. of the Interior.
    44. Sue Wing, I., M. Mistry and E. De Cian (2021). Global Vulnerability of Crop Yields to Climate Change, Journal of Environmental Economics and Management 109: 102462.
    45. Romitti, Y. and Ian Sue Wing (2022). Heterogeneous climate change impacts on electricity demand in world cities circa mid-century, Scientific Reports 12: 4280.
    46. Carbone, J., L. Bui, D. Fullerton, S. Paltsev and I. Sue Wing (2022). When and How to Use Economy-Wide Models for Environmental Policy Analysis, Annual Review of Resource Economics 14: 447-465.
    47. Pollack, A., I. Sue Wing and C. Nolte (2022). Aggregation bias and its drivers in large-scale flood loss estimation: A Massachusetts case study, Journal of Flood Risk Management 15: e12851.
    48. Romitti, Y., I. Sue Wing, K. Spangler and G. Wellenius (2022). Inequality in the availability of residential air conditioning across 115 US metropolitan areas, PNAS Nexus 1: pgac210.
    49. Colelli, F., I. Sue Wing, and E. De Cian (2023). Air-conditioning adoption and electricity demand highlight climate change mitigation-adaptation tradeoffs, Scientific Reports 13: 4413.
    50. Carr, D., G. Falchetta and I. Sue Wing (2023). Population Aging and Heat Exposure in the 21st Century: Which U.S. Regions Are At Greatest Risk and Why? The Gerontologist, in press.

    Working papers and manuscripts in review:

    1. Induced Technical Change and the Cost of Climate Policy.
    2. Sue Wing, I. (2004). CGE Models for Economy-Wide Policy Analysis, MIT Joint Program on the Science and Policy of Global Change technical Note No. 6.
    3. Sue Wing, I. and D. Popp (2006). Representing Endogenous Technological Change in Economic Models, Chapter 7 in M. Hanneman and A. Farrell (eds.), Managing Greenhouse Gas Emissions in California, U.C. Berkeley California Climate Change Center Report
    4. Sue Wing, I. (2006). Induced Technological Change: Firm Innovatory Responses to Environmental Regulation.
    5. Sue Wing, I. (2007). The Regional Impacts of U.S. Climate Change Policy: A General Equilibrium Analysis.
    6. Sue Wing, I., W.P. Anderson and T.R. Lakshmanan (2007). The Broader Benefits of Infrastructure Investment, prepared for the OECD/ECMT Research Round Table on Macro-, Meso- and Micro-Infrastructure Planning and Assessment, Boston University, 25-26 Oct., 2007.
    7. Sue Wing, I. and M. Kolodziej (2008). The Regional Greenhouse Gas Initiative: Emission Leakage and the Effectiveness of Interstate Border Adjustments, Harvard Kennedy School Regulatory policy Program Working Paper No. RPP-2008-03.
    8. Sue Wing, I. (2010). The Regional Incidence of a National Greenhouse Gas Emission Limit.
    9. Sue Wing, I. and E. Lanzi (2014). Integrated Assessment of Climate Change Impacts: Conceptual Frameworks, Modelling Approaches and Research Needs, OECD Environment Working Paper No. 66.
    10. Sue Wing, I. and G. Timilsina (2016). Technology strategies for low-carbon economic growth : a general equilibrium assessment, World Bank Policy Research Working Paper WPS7742.,
    11. Sue Wing, I. and A. Rose (2018). Economic consequence analysis of electric power infrastructure disruptions: An analytical general equilibrium approach, Frontiers in the Economics of Widespread, Long-Duration Power Interruptions, Lawrence Berkeley National Laboratory, Washington DC, March 6.
    12. G. Falchetta, E. De Cian, I. Sue Wing and D. Carr (2023). Aging in a warming world: global projections of cumulative and acute heat exposure of elderly individuals.
    13. Sue Wing, I., A. Rose, D. Wei and A. Wein (2023). The Long Shadow of a Major Disaster: Dynamic Impacts of the HayWired Earthquake Scenario on California’s Economy.
    14. Pollack, A., D. Wrenn, C. Nolte and I. Sue Wing (2023). Potential Benefits in Remapping the Special Flood Hazard Area: Evidence from the U.S. Housing Market.
    15. Horing, J., I. Sue Wing and M. Lisk (2023). Economic Consequences of Wildfire Adaptation: Public Safety Power Shutoffs in California.

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