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Research Articles

Using probabilistic analysis to improve greenhouse gas baseline forecasts in developing country contexts: the case of Chile

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Pages 299-314 | Received 29 Dec 2017, Accepted 17 Jul 2018, Published online: 09 Aug 2018

References

  • Burke, P. J., & Csereklyei, Z. (2016). Understanding the energy-GDP elasticity: A sectoral approach. Energy Economics, 58, 199–210. doi: 10.1016/j.eneco.2016.07.004
  • COCHILCO. (2015a). Inversión en la minería chilena – Cartera de proyectos 2015–2024. Santiago.
  • COCHILCO. (2015b). Proyección en el consumo de electricidad en la minería del cobre 2015–2026. Santiago.
  • Cohen, B., Tyler, E., & Torres Gunfaus, M. (2017). Lessons from co-impacts assessment under the mitigation action plans and scenarios (MAPS) programme. Climate Policy, 17(8), 1065–1075. doi: 10.1080/14693062.2016.1222258
  • Drouet, L., & Emmerling, J. (2016). Climate policy under socio-economic scenario uncertainty. Environmental Modelling & Software, 79, 334–342. doi: 10.1016/j.envsoft.2016.02.010
  • Eyre, N., & Baruah, P. (2015). Uncertainties in future energy demand in UK residential heating. Energy Policy, 87, 641–653. doi: 10.1016/j.enpol.2014.12.030
  • Garnaut, R., Howes, S., Jotzo, F., & Sheehan, P. (2008). Emissions in the platinum age: The implications of rapid development for climate-change mitigation. Oxford Review of Economic Policy, 24(2), 377–401. doi: 10.1093/oxrep/grn021
  • Glomsrød, S., Wei, T., & Alfsen, K. H. (2013). Pledges for climate mitigation: The effects of the Copenhagen accord on CO2 emissions and mitigation costs. Mitigation and Adaptation Strategies for Global Change, 18(5), 619–636. doi: 10.1007/s11027-012-9378-2
  • Government of Chile. (2016). Intended nationally determined contribution of Chile towards the climate agreement of Paris 2015. Retrieved from http://www4.unfccc.int/Submissions/INDC/Published Documents/Chile/1/INDC Chile english version.pdf
  • Instituto Nacional de Estadisticas. (2006). CHILE : Proyecciones y Estimaciones de Población, Total País 1950–2050. Santiago: Instituto Nacional de Estadisticas.
  • IPCC. (2006). 2006 IPCC guidelines for national greenhouse gas inventories. Hayama: Institute for Global Environmental Strategies (IGES).
  • Kane, L., & Boulle, M. (2018). ‘This was different’: Transferring climate mitigation knowledge practices south to south with the MAPS programme. Climate Policy, 1, 1–12. doi: 10.1080/14693062.2017.1421520
  • Karavai, M., Lütken, S. E., & Puig, D. (2018). Could baseline establishment be counterproductive for emissions reduction? Insights from Vietnam’s building sector. Climate Policy, 18(4), 459–470. doi: 10.1080/14693062.2017.1304350
  • Kwakkel, J. H., Walker, W. E., & Marchau, V. A. W. J. (2010). Classifying and communicating uncertainties in model-based policy analysis. International Journal of Technology, Policy and Management, 10(4), 299. doi: 10.1504/IJTPM.2010.036918
  • Li, L., Hong, X., Tang, D., & Na, M. (2016). GHG emissions, economic growth and urbanization: A spatial approach. Sustainability (Switzerland), 8(5), doi: 10.3390/su8050462
  • MAPS Chile. (2015). MAPS Chile mitigation options for a low carbon development – phase 2 synthesis of results. Santiago.
  • Morgan, G., & Henrion, M. (1990). Uncertainty, a guide to dealing with uncertainty in quantitative risk and policy analysis. Book reviews. Cambridge: Cambridge University Press.
  • OECD, & IEA. (2012). Projecting emissions baselines for national climate policy: Options for guidance to improve transparency. Paris: Organisation for Economic Co - operation and Development.
  • O’Ryan, R., & Diaz, M. (2008). The use of probabilistic analysis to improve decision-making in environmental regulation in a developing context: The case of arsenic regulation in Chile. Human and Ecological Risk Assessment: An International Journal, 14(3), 623–640. doi: 10.1080/10807030802074295
  • Puig, D., Krog Søbygaard, J., Larsen, P., Rygner Holm, S., Blatt Bendtsen, U., & Prag, A. (2013). National greenhouse gas emissions baseline scenarios: Learning from experiences in developing countries. Roskilde: UNEP Risø Centre, Danish Energy Agency, Organisation for Economic Co-operation and Development.
  • Puig, D., Morales-Nápoles, O., Bakhtiari, F., & Landa, G. (2017). The accountability imperative for quantifying the uncertainty of emission forecasts: Evidence from Mexico. Climate Policy, 1–10. doi: 10.1080/14693062.2017.1373623
  • Pye, S., Sabio, N., & Strachan, N. (2015). An integrated systematic analysis of uncertainties in UK energy transition pathways. Energy Policy, 87, 673–684. doi: 10.1016/j.enpol.2014.12.031
  • Pye, S., Usher, W., & Strachan, N. (2014). The uncertain but critical role of demand reduction in meeting long-term energy decarbonisation targets. Energy Policy, 73, 575–586. doi: 10.1016/j.enpol.2014.05.025
  • Raftery, A. E., Chunn, J. L., Gerland, P., & Ševčíková, H. (2013). Bayesian probabilistic projections of life expectancy for all countries. Demography, 50(3), 777–801. doi: 10.1007/s13524-012-0193-x
  • Raubenheimer, S. (2015). Stories from the south: Exploring low carbon development pathways. Retrieved from http://www.mapsprogramme.org/wp-content/uploads/Stories-from-the-South-Online-Edition-7.1MB.pdf
  • Richardson, G. M. (1996). Deterministic versus probabilistic risk assessment: Strengths and weaknesses in a regulatory context. Human and Ecological Risk Assessment: An International Journal, 2(1), 44–54. doi: 10.1080/10807039.1996.10387459
  • Scott, M. J., Daly, D. S., Hathaway, J. E., Lansing, C. S., Liu, Y., McJeon, H. C., … Zhou, Y. (2015). Calculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model. Energy, 90, 1682–1694. doi: 10.1016/j.energy.2015.06.127
  • Sharifzadeh, M., Lubiano-Walochik, H., & Shah, N. (2017). Integrated renewable electricity generation considering uncertainties: The UK roadmap to 50% power generation from wind and solar energies. Renewable and Sustainable Energy Reviews, 72, 385–398. doi: 10.1016/j.rser.2017.01.069
  • Singer, D. A. (2013). The lognormal distribution of metal resources in mineral deposits. Ore Geology Reviews, 55, 80–86. doi: 10.1016/j.oregeorev.2013.04.009
  • Strachan, N. (2007). Setting greenhouse gas emission targets under baseline uncertainty: The bush climate change initiative. Mitigation and Adaptation Strategies for Global Change, 12(4), 455–470. doi: 10.1007/s11027-007-9088-3
  • Strachan, N. (2011). Business-as-unusual: Existing policies in energy model baselines. Energy Economics, 33(2), 153–160. doi: 10.1016/j.eneco.2010.10.009
  • Tekiner, H., Coit, D. W., & Felder, F. A. (2010). Multi-period multi-objective electricity generation expansion planning problem with Monte-Carlo simulation. Electric Power Systems Research, 80(12), 1394–1405. doi: 10.1016/j.epsr.2010.05.007
  • United Nations, Department of Economic and Social Affairs, Population Division. (2017a). World population prospects: The 2017 revision, methodology of the united nations population estimates and projections (No. ESA/P/WP.250). New York.
  • United Nations, Department of Economic and Social Affairs, Population Division. (2017b). World population prospects: The 2017 revision, Volume I: comprehensive tables (ST/ESA/SER.A/399). New York. doi: ST/ESA/SER.A/399
  • United Nations Framework Convention on Climate. (2016). Intended nationally determined contributions (INDCs). Retrieved from http://unfccc.int/focus/indc_portal/items/8766.php
  • Walker, W. E., Marchau, V. A. W. J., & Kwakkel, J. H. (2013). Uncertainty in the framework of policy analysis. In Public policy analysis: New developments (pp. 215–261). doi: 10.1007/978-1-4614-4602-6_9
  • Ye, B., Jiang, J., Miao, L., & Xie, D. (2017). Interprovincial allocation of China’s national carbon emission allowance: An uncertainty analysis based on Monte-Carlo simulations. Climate Policy, 17(4), 401–422. doi: 10.1080/14693062.2016.1152948

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