The impact of implementing a consumption charge on carbon-intensive materials in Europe

References

• Böhringer, C., Rosendahl, K. E., & Storrøsten, H. B. (2017). Robust policies to mitigate carbon leakage. Journal of Public Economics, 149(2017), 35–46. doi: 10.1016/j.jpubeco.2017.03.006
   Google Scholar
• Cambridge Econometrics. (2014). E3ME model manual, version 6.0. Retrieved from www.e3me.com
   Google Scholar
• CEDEFOP. (2012). Future skills supply and demand in Europe (CEDEFOP Research Paper Number 26). Luxembourg: EU publications office. Retrieved from http://www.cedefop.europa.eu/files/5526_en.pdf
   Google Scholar
• Cherry, C., Scott, K., Barrett, J., & Pidgeon, N. (2018). Public acceptance of resource-efficiency strategies to mitigate climate change. Nature Climate Change, 8, 1007–1012. doi: 10.1038/s41558-018-0298-3
   Web of Science ®Google Scholar
• De Koning, A., Bruckner, M., Lutter, S., Wood, R., Stadler, K., & Tukker, A. (2015, August). Effect of aggregation and disaggregation on embodied material use of products in input–output analysis. Ecological Economics, 116, 289–299. doi: 10.1016/j.ecolecon.2015.05.008
   Web of Science ®Google Scholar
• De Koning, A., Huppes, G., Deetman, S., & Tukker, A. (2016). Scenarios for a 2°C world: A trade-linked input–output model with high sector detail. Climate Policy, 16, 301–317. doi: 10.1080/14693062.2014.999224
   Web of Science ®Google Scholar
• Ekins, P., Pollitt, H., Summerton, P., & Chewpreecha, U. (2012). Increasing carbon and material productivity through environmental tax reform. Energy Policy, 42, 365–376. doi: 10.1016/j.enpol.2011.11.094
   Web of Science ®Google Scholar
• Engle, R. F., & Granger, C. W. J. (1987). Cointegration and error correction: Representation, estimation and testing. Econometrica, 55, 251–276. doi: 10.2307/1913236
   Web of Science ®Google Scholar
• EU ETS. (2018). Directive to enhance cost-effective emission reductions and low-carbon investments, 2018/410.
   Google Scholar
• European Commission. (2014). Study on modelling of the economic and environmental impacts of raw material consumption. European Commission Technical report 2014–2478. Retrieved from http://ec.europa.eu/environment/enveco/resource_efficiency/pdf/RMC.pdf
   Google Scholar
• European Commission. (2015). Closing the loop – an EU action plan for the circular economy, COM(2015) 614 final.
   Google Scholar
• European Commission. (2016). EU reference scenario 2016: Energy, transport and GHG emissions trends to 2050. Luxembourg: EU Publications Office. Retrieved from https://ec.europa.eu/energy/sites/ener/files/documents/20160713
   Google Scholar
• German Federation of Industry. (2018). Climate paths for Germany, Studie by BCG and Prognos.
   Google Scholar
• Grubb, M., Neuhoff, K., & Hourcade, J. C. (2014). Planetary economics. Abingdon: Routledge.
   Google Scholar
• Hendry, D. F., Pagan, A., & Sargan, J. D. (1984). Dynamic specification. In Z. Griliches & M. D. Intriligator (Eds.), Handbook of econometrics (Vol. II, pp. 1023–1100). Amsterdam: North Holland.
   Google Scholar
• Hertwich, E., & Peters, G. (2009). Carbon footprint of nations: A global, trade-linked analysis. Environmental Science and Technology, 43(16), 6414–6420. doi: 10.1021/es803496a
   PubMed Web of Science ®Google Scholar
• IEA. (2015). World energy outlook. Paris: OECD/IEA.
   Google Scholar
• IEA. (2017). Energy technology perspectives. Paris: OECD/IEA.
   Google Scholar
• IPCC. (2014). Climate change 2014: Mitigation of climate change. In IPCC fifth assessment report, working group III. New York, NY: Cambridge University Press.
   Google Scholar
• Ismer, R., & Haussner, M. (2016). Inclusion of consumption into the EU ETS: The legal basis under European Union Law. Review of European Community & International Environmental Law, 25(1), 69–80. doi: 10.1111/reel.12131
   Google Scholar
• Jansen, H., & Klaassen, G. (2000). Economic impacts of the 1997 EU energy tax: Simulations with three EU-wide models. Environmental and Resource Economics, 15(2), 179–197. doi: 10.1023/A:1008309512349
   Web of Science ®Google Scholar
• Keynes, J. M. (1921). Treatise on probability. London: Macmillan & Co.
   Google Scholar
• King, J. E. (2015). Advanced introduction to post Keynesian economics. Cheltenham: Edward Elgar.
   Google Scholar
• Lavoie, M. (2015). Post-Keynesian economics: New foundations. Cheltenham: Edward Elgar.
   Google Scholar
• Löschel. (2007). Role of auctions: The role of numerical models. In K. Neuhoff & F. Mathes (coordinating authors) The Role of Auctions for Emission Trading. Climate Strategies report.
   Google Scholar
• Lucas, R. (1976). Econometric policy evaluation: A critique. In K. Brunner & A. Meltzer (Eds.), The Phillips curve and labor markets (Carnegie-Rochester conference series on public policy, pp. 19–46). American Elsevier.
   Google Scholar
• Mercure, J.-F. (2012). FTT: Power a global model of the power sector with induced technological change and natural resource depletion. Energy Policy, 48, 799–811. doi: 10.1016/j.enpol.2012.06.025
   Web of Science ®Google Scholar
• Mercure, J.-F., Lam, A., Billington, S., & Pollitt, H. (2018). Integrated assessment modelling as a positive science: Private passenger road transport policies to meet a climate target well below 2°C. Climatic Change. doi: 10.1007/s10584-018-2262-7
   PubMed Web of Science ®Google Scholar
• Mercure, J.-F., Pollitt, H., Bassi, A. M., Viñuales, J. E. & Edwards, N. R. (2016, March). Modelling complex systems of heterogeneous agents to better design sustainability transitions policy. Global Environmental Change, 37, 102–115. doi: 10.1016/j.gloenvcha.2016.02.003
   Web of Science ®Google Scholar
• Mercure, J.-F., Pollitt, H., Edwards, N.R., Holden, P.B., Chewpreecha, U., Salas, P., … Vinuales, J. E. (2018, April). Environmental impact assessment for climate change policy with the simulation-based integrated assessment model E3ME-FTT-GENIE. Energy Strategy Reviews, 20, 195–208. doi: 10.1016/j.esr.2018.03.003
   Web of Science ®Google Scholar
• Mercure, J.-F., & Salas, P. (2012). An assessment of global energy resource economic potentials. Energy, 46(1), 322–336. doi: 10.1016/j.energy.2012.08.018
   Web of Science ®Google Scholar
• Mercure, J.-F., & Salas, P. (2013). On the global economic potentials and marginal costs of non-renewable resources and the price of energy commodities. Energy Policy, 63, 469–483. doi: 10.1016/j.enpol.2013.08.040
   Web of Science ®Google Scholar
• Meyer, B., & Lutz, C. (2007). The GINFORS model: Model overview and evaluation. Retrieved from http://www.petre.org.uk/pdf/sept08/petrE_WP3%202%20Ginfors.pdf
   Google Scholar
• Minx, J. C., Wiedmann, T., Wood, R., Peters, G.P., Lenzen, M., Owen, A., … Ackerman, F. (2009). Input-output analysis and carbon footprinting: An overview of applications. Economic Systems Research, 21(3), 187–216. doi: 10.1080/09535310903541298
   Web of Science ®Google Scholar
• Monjon, S., & Quirion, P. (2011). Addressing leakage in the EU ETS: Border adjustment or output-based allocation? Ecological Economics, 70, 1957–1971. doi: 10.1016/j.ecolecon.2011.04.020
   Web of Science ®Google Scholar
• Munnings, C., Acworth, W., Sartor, O., Kim, Y.-G., & Neuhoff, K. (2018). Pricing carbon consumption, synthesising an emerging trend. Climate Policy. doi: 10.1080/14693062.2018.1457508
   Web of Science ®Google Scholar
• Neuhoff, K., Ismer, R., Acworth, W., Ancygier, A., Fischer, C., Haussner, M., … Zipperer, V. (2016). Inclusion of Consumption of carbon intensive materials in emissions trading An option for carbon pricing post-2020. Climate Strategies Report.
   Google Scholar
• Neuhoff, K., Vanderborght, B., Ancygier, A., Tugba Atasoy, A., Haussner, M., Ismer, R., … Schopp, A. (2014). Carbon control and competitiveness post 2020: The cement report. London: Climate Strategies.
   Google Scholar
• Park, S. J., Ogawa, Y., Kawakatsu, T., & Pollitt, H. (2015). The double dividend of and environmetnal tax reform in East Asian economies. In S. Lee, H. Pollitt, & S. J. Park (Eds.), Low-carbon, sustainable future in East Asia (Chap. 8, pp. 121–139). Abingdon: Routledge.
   Google Scholar
• Pauliuk, S., Neuhoff, K., Owen, A., & Wood, R. (2016). Quantifying impacts of consumption based charge for carbon intensive materials on products (DIW Discussion Papers, No. 1570).
   Google Scholar
• Pearce, D. (1991). The role of carbon taxes in adjusting to global warming. The Economic Journal, 101(407), 938–948. doi: 10.2307/2233865
   Web of Science ®Google Scholar
• Pollitt, H., Lee, S., & Park, S. J. (2015). Introduction to the modelling in this book. In S. Lee, H. Pollitt, & S. J. Park (Eds.), Low-carbon, sustainable future in East Asia. London: Routledge.
   Google Scholar
• Pollitt, H., & Mercure, J.-F. (2018). The role of money and the financial sector in energy-economy models used for assessing climate and energy policy. Climate Policy, 18(2), 184–197. doi: 10.1080/14693062.2016.1277685
   Web of Science ®Google Scholar
• Rogelj, J., Popp, A., Calvin, K. V., Luderer, G., Emmerling, J., Gernaat, D., … Krey, V. (2018). Scenarios towards limiting global mean temperature increase below 1.5° C. Nature Climate Change, 8(4), 325–332. doi: 10.1038/s41558-018-0091-3
   Web of Science ®Google Scholar
• Sato, M., & Neuhoff, K. (2007). The contribution of a CO2 price signal on product substitution (Electricity policy research group Working Paper). University of Cambridge.
   Google Scholar
• Schoer, K., Wood, R., Arto, I., & Weinzettel, J. (2013). Estimating raw material equivalents on a macro-level: Comparison of multi-regional input−output analysis and hybrid LCI-IO. Environmental Science and Technology, 47(24), 14282–14289. doi: 10.1021/es404166f
   PubMed Web of Science ®Google Scholar
• Scott, K., Roelich, K., Owen, A., & Barrett, J. (2018). Extending European energy efficiency standards to include material use: An analysis. Climate Policy, 18(5), 627–641. doi: 10.1080/14693062.2017.1333949
   Web of Science ®Google Scholar
• Stocker, A., Omann, I., & Jäger, J. (2012). The socio-economic modelling of the ALARM scenarios with GINFORS: Results and analysis for selected European countries. Global Ecology and Biogeography, 21(1), 36–49. doi: 10.1111/j.1466-8238.2010.00639.x
   Web of Science ®Google Scholar
• UNFCCC. (2015). Paris agreement. United Nations.
   Google Scholar
• Wiebe, K. S., Bjelle, E. L., Többen, J., & Wood, R. (2018). Implementing exogenous scenarios in a global MRIO model for the estimation of future environmental footprints. Journal of Economic Structures, 7, 20. doi: 10.1186/s40008-018-0118-y
   Google Scholar
• Zipperer, V., Sato, M., & Neuhoff, K. (2017). Benchmarks for emissions trading – General principles for emissions scope (Grantham Research Institute on Climate Change and the Environment Working Paper no. 287, Centre for Climate Change Economics and Policy Working Paper No. 321). Retrieved from http://www.lse.ac.uk/GranthamInstitute/publication/benchmarks-emissions-trading-generalprinciples-emissions-scope/
   Google Scholar