IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v51y2015icp530-543.html
   My bibliography  Save this article

Methods for including income distribution in global CGE models for long-term climate change research

Author

Listed:
  • van Ruijven, Bas J.
  • O’Neill, Brian C.
  • Chateau, Jean

Abstract

The consequences of climate policy and the impacts of climate change vary among different types of households depending on their income level, expenditure pattern, and other socioeconomic characteristics. Global economy-environment models that are used to assess climate change issues traditionally do not distinguish households by income or other attributes. To facilitate progress in this area, we review and assess literature on methods to include household heterogeneity in global long-term Computable General Equilibrium (CGE) models. We distinguish among three categories of approaches: 1) the explicit modeling of multiple household types within the CGE framework, 2) micro-simulation modeling, and 3) direct modeling of income distribution. For each of these approaches we describe the method, key assumptions, limitations and several prominent examples from the literature. Moreover, we discuss data needs, including the contents of household survey data, their availability and processing. We conclude with an overview of what each method could provide for global, long-term climate-related research.

Suggested Citation

  • van Ruijven, Bas J. & O’Neill, Brian C. & Chateau, Jean, 2015. "Methods for including income distribution in global CGE models for long-term climate change research," Energy Economics, Elsevier, vol. 51(C), pages 530-543.
  • Handle: RePEc:eee:eneeco:v:51:y:2015:i:c:p:530-543
    DOI: 10.1016/j.eneco.2015.08.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988315002406
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2015.08.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Acharya, Sanjaya, 2011. "Making unilateral trade liberalisation beneficial to the poor," Socio-Economic Planning Sciences, Elsevier, vol. 45(2), pages 60-71, June.
    2. Kemp-Benedict, Eric, 2011. "Political regimes and income inequality," Economics Letters, Elsevier, vol. 113(3), pages 266-268.
    3. Thomas W. Hertel & Roman Keeney & Maros Ivanic & L. Alan Winters, 2015. "Why Isn't the Doha Development Agenda more Poverty Friendly?," World Scientific Book Chapters, in: Non-Tariff Barriers, Regionalism and Poverty Essays in Applied International Trade Analysis, chapter 18, pages 375-391, World Scientific Publishing Co. Pte. Ltd..
    4. Gilbert, John & Banik, Nilanjan, 2010. "Socioeconomic Impacts of Cross-Border Transport Infrastructure Development in South Asia," ADBI Working Papers 211, Asian Development Bank Institute.
    5. Filipski, Mateusz & Edward Taylor, J. & Msangi, Siwa, 2011. "Effects of Free Trade on Women and Immigrants: CAFTA and the Rural Dominican Republic," World Development, Elsevier, vol. 39(10), pages 1862-1877.
    6. Pauw, Karl & Thurlow, James, 2011. "Agricultural growth, poverty, and nutrition in Tanzania," Food Policy, Elsevier, vol. 36(6), pages 795-804.
    7. Ojha, Vijay P. & Pradhan, Basanta K. & Ghosh, Joydeep, 2013. "Growth, inequality and innovation: A CGE analysis of India," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 909-927.
    8. Bas Ruijven & Marc Levy & Arun Agrawal & Frank Biermann & Joern Birkmann & Timothy Carter & Kristie Ebi & Matthias Garschagen & Bryan Jones & Roger Jones & Eric Kemp-Benedict & Marcel Kok & Kasper Kok, 2014. "Enhancing the relevance of Shared Socioeconomic Pathways for climate change impacts, adaptation and vulnerability research," Climatic Change, Springer, vol. 122(3), pages 481-494, February.
    9. Nabil Annabi & Youssef Boudribila & Simon Harvey, 2013. "Labour supply and income distribution effects of the working income tax benefit: a general equilibrium microsimulation analysis," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-33, December.
    10. John Cockburn, 2002. "Trade Liberalisation and Poverty in Nepal: A Computable General Equilibrium Micro Simulation Analysis," CSAE Working Paper Series 2002-11, Centre for the Study of African Economies, University of Oxford.
    11. Estrades, Carmen & Terra, María Inés, 2012. "Commodity prices, trade, and poverty in Uruguay," Food Policy, Elsevier, vol. 37(1), pages 58-66.
    12. Luc Savard, 2010. "Scaling up infrastructure spending in the Philippines: A CGE top-down bottom-up microsimulation approach," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 43-59.
    13. Luc Savard, 2005. "Poverty and Inequality Analysis within a CGE Framework: A Comparative Analysis of the Representative Agent and Microsimulation Approaches," Development Policy Review, Overseas Development Institute, vol. 23(3), pages 313-331, May.
    14. Arief Yusuf & Budy Resosudarmo, 2015. "On the distributional impact of a carbon tax in developing countries: the case of Indonesia," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(1), pages 131-156, January.
    15. Dalton, Michael & O'Neill, Brian & Prskawetz, Alexia & Jiang, Leiwen & Pitkin, John, 2008. "Population aging and future carbon emissions in the United States," Energy Economics, Elsevier, vol. 30(2), pages 642-675, March.
    16. Joachim R. Frick & Stephen P. Jenkins & Dean R. Lillard & Oliver Lipps & Mark Wooden, 2007. "European Data Watch: The Cross-National Equivalent File (CNEF) and its Member Country Household Panel Studies," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(4), pages 627-654.
    17. Tarr, David G., 2013. "Putting Services and Foreign Direct Investment with Endogenous Productivity Effects in Computable General Equilibrium Models," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 303-377, Elsevier.
    18. Rausch, Sebastian & Mowers, Matthew, 2014. "Distributional and efficiency impacts of clean and renewable energy standards for electricity," Resource and Energy Economics, Elsevier, vol. 36(2), pages 556-585.
    19. Durand-Lasserve, Olivier & Campagnolo, Lorenza & Chateau, Jean & Dellink, Rob, 2015. "Modelling of Distributional Impacts of Energy Subsidy Reforms: an Illustration with Indonesia," Climate Change and Sustainable Development 206853, Fondazione Eni Enrico Mattei (FEEM).
    20. Pauw, Karl & Leibbrandt, Murray, 2012. "Minimum Wages and Household Poverty: General Equilibrium Macro–Micro Simulations for South Africa," World Development, Elsevier, vol. 40(4), pages 771-783.
    21. Jonasson, Erik & Filipski, Mateusz & Brooks, Jonathan & Taylor, J. Edward, 2014. "Modeling the welfare impacts of agricultural policies in developing countries," Journal of Policy Modeling, Elsevier, vol. 36(1), pages 63-82.
    22. Hielke Buddelmeyer & Nicolas Hérault & Guyonne Kalb & Mark van Zijll de Jong, 2012. "Linking a Microsimulation Model to a Dynamic CGE Model: Climate Change Mitigation Policies and Income Distribution in Australia," International Journal of Microsimulation, International Microsimulation Association, vol. 5(2), pages 40-58.
    23. Vandyck, Toon & Van Regemorter, Denise, 2014. "Distributional and regional economic impact of energy taxes in Belgium," Energy Policy, Elsevier, vol. 72(C), pages 190-203.
    24. Volker Krey, 2014. "Global energy-climate scenarios and models: a review," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(4), pages 363-383, July.
    25. Debowicz, Darío & Golan, Jennifer, 2014. "The impact of Oportunidades on human capital and income distribution in Mexico: A top-down/bottom-up approach," Journal of Policy Modeling, Elsevier, vol. 36(1), pages 24-42.
    26. Ahmed, Vaqar & O' Donoghue, Cathal, 2007. "CGE-Microsimulation Modelling: A Survey," MPRA Paper 9307, University Library of Munich, Germany.
    27. Dartanto, Teguh, 2013. "Reducing fuel subsidies and the implication on fiscal balance and poverty in Indonesia: A simulation analysis," Energy Policy, Elsevier, vol. 58(C), pages 117-134.
    28. Parry, Ian W.H. & Williams, Roberton C. III, 2010. "What Are the Costs of Meeting Distributional Objectives in Designing Domestic Climate Policy?," Discussion Papers dp-10-51, Resources For the Future.
    29. James B Davies, 2009. "Combining microsimulation with CGE and macro modelling for distributional analysis in developing and transition countries," International Journal of Microsimulation, International Microsimulation Association, vol. 2(1), pages 49-56.
    30. Verikios, George & Zhang, Xiao-guang, 2013. "Structural change in the Australian electricity industry during the 1990s and the effect on household income distribution: A macro–micro approach," Economic Modelling, Elsevier, vol. 32(C), pages 564-575.
    31. Rausch, Sebastian & Metcalf, Gilbert E. & Reilly, John M., 2011. "Distributional impacts of carbon pricing: A general equilibrium approach with micro-data for households," Energy Economics, Elsevier, vol. 33(S1), pages 20-33.
    32. Parry Ian W. H. & Williams Roberton C., 2010. "What are the Costs of Meeting Distributional Objectives for Climate Policy?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(2), pages 1-35, December.
    33. Naranpanawa, Athula & Bandara, Jayatilleke S. & Selvanathan, Saroja, 2011. "Trade and poverty nexus: A case study of Sri Lanka," Journal of Policy Modeling, Elsevier, vol. 33(2), pages 328-346, March.
    34. Hertel, Thomas & Monika Verma & Maros Ivanic & Ana R. Rios, 2011. "GTAP-POV: A Framework for Assessing the National Poverty Impacts of Global Economic and Environmental Policies," GTAP Technical Papers 3731, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    35. Dorothée Boccanfuso & Bernard Decaluwé & Luc Savard, 2003. "Poverty, Income Distribution and CGE Modeling: Does the Functional Form of Distribution Matter?," Cahiers de recherche 0332, CIRPEE.
    36. Melnikov, N.B. & O'Neill, B.C. & Dalton, M.G., 2012. "Accounting for household heterogeneity in general equilibrium economic growth models," Energy Economics, Elsevier, vol. 34(5), pages 1475-1483.
    37. Filho, Joaquim Bento de Souza Ferreira & Horridge, Mark, 2005. "The Doha Round, poverty, and regional inequality in Brazil," Policy Research Working Paper Series 3701, The World Bank.
    38. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
    39. Sánchez, Marco V. & Cicowiez, Martín, 2014. "Trade-offs and Payoffs of Investing in Human Development," World Development, Elsevier, vol. 62(C), pages 14-29.
    40. John Creedy & Guyonne Kalb, 2005. "Discrete Hours Labour Supply Modelling: Specification, Estimation and Simulation," Journal of Economic Surveys, Wiley Blackwell, vol. 19(5), pages 697-734, December.
    41. Maurizio Bussolo & Rafael E De Hoyos & Denis Medvedev, 2010. "Economic growth and income distribution: linking macro-economic models with household survey data at the global level," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 92-103.
    42. François Bourguignon & Anne-Sophie Robilliard & Sherman Robinson, 2003. "Representative versus real households in the macro-economic modeling of inequality," Working Papers DT/2003/10, DIAL (Développement, Institutions et Mondialisation).
    43. Bussolo, Maurizio & Lay, Jann & van der Mensbrugghe, Dominique, 2006. "Structural change and poverty reduction in Brazil : the impact of the Doha Round," Policy Research Working Paper Series 3833, The World Bank.
    44. Agenor, Pierre-Richard & Izquierdo, Alejandro & Fofack, Hippolyte, 2003. "The integrated macroeconomic model for poverty analysis : a quantitative macroeconomic framework for the analysis of poverty reduction strategies," Policy Research Working Paper Series 3092, The World Bank.
    45. Antoine Bouet & Carmen Estrades & David Laborde, 2013. "Households heterogeneity in a global CGE model: an illustration with the MIRAGE-HH (MIRAGE-HouseHolds) model," Working Papers hal-00780103, HAL.
    46. Cogneau, Denis & Robilliard, Anne-Sophie, 2000. "Growth, distribution and poverty in Madagascar," TMD discussion papers 61, International Food Policy Research Institute (IFPRI).
    47. Arndt, Channing & Pauw, Karl & Thurlow, James, 2012. "Biofuels and economic development: A computable general equilibrium analysis for Tanzania," Energy Economics, Elsevier, vol. 34(6), pages 1922-1930.
    48. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    49. Jann Lay, 2010. "Sequential macro-micro modelling with behavioural microsimulations," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 24-34.
    50. Bourguignon, François & Bussolo, Maurizio, 2013. "Income Distribution in Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1383-1437, Elsevier.
    51. John Cockburn & Erwin Corong & Caesar Cororaton, 2010. "Integrated Computable General Equilibrium (CGE) microsimulation approach," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 60-71.
    52. Decaluwe, B. & Patry, A. & Savard, L. & Thorbecke, E., 1999. "Poverty Analysis Within a General Equilibrium Framework," Cahiers de recherche 9909, Université Laval - Département d'économique.
    53. Buffie, Edward F. & Atolia, Manoj, 2012. "Trade, growth, and poverty in Zambia: Insights from a dynamic GE model," Journal of Policy Modeling, Elsevier, vol. 34(2), pages 211-229.
    54. Blonz Joshua & Burtraw Dallas & Walls Margaret A, 2010. "Climate Policy's Uncertain Outcomes for Households: The Role of Complex Allocation Schemes in Cap-and-Trade," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(2), pages 1-35, November.
    55. Ekholm, Tommi & Krey, Volker & Pachauri, Shonali & Riahi, Keywan, 2010. "Determinants of household energy consumption in India," Energy Policy, Elsevier, vol. 38(10), pages 5696-5707, October.
    56. Ahmed, Syud Amer & Diffenbaugh, Noah S. & Hertel, Thomas W. & Ramankutty, Navin & Rios, Ana R. & Rowhani, Pedram, 2009. "Climate Volatility and Poverty Vulnerability in Tanzania," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49358, Agricultural and Applied Economics Association.
    57. Naranpanawa, Athula & Bandara, Jayatilleke S., 2012. "Poverty and growth impacts of high oil prices: Evidence from Sri Lanka," Energy Policy, Elsevier, vol. 45(C), pages 102-111.
    58. Essama-Nssah, B. & Go, Delfin S. & Kearney, Marna & Korman, Vijdan & Robinson, Sherman & Thierfelder, Karen, 2007. "Economy-wide and distributional impacts of an oil price shock on the south African economy," Policy Research Working Paper Series 4354, The World Bank.
    59. Nicolas Hérault, 2010. "Sequential linking of Computable General Equilibrium and microsimulation models: a comparison of behavioural and reweighting techniques," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 35-42.
    60. N. Hérault, 2006. "Building And Linking A Microsimulation Model To A Cge Model For South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 74(1), pages 34-58, March.
    61. Hertel, Thomas W. & Burke, Marshall B. & Lobell, David B., 2010. "The Poverty Implications of Climate-Induced Crop Yield Changes by 2030," Working papers 283477, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    62. Verikios, George & Zhang, Xiao-guang, 2015. "Reform of Australian urban transport: A CGE-microsimulation analysis of the effects on income distribution," Economic Modelling, Elsevier, vol. 44(C), pages 7-17.
    63. Rao, Narasimha D., 2013. "Distributional impacts of climate change mitigation in Indian electricity: The influence of governance," Energy Policy, Elsevier, vol. 61(C), pages 1344-1356.
    64. Bussolo, Maurizio & De Hoyos, Rafael E. & Medvedev, Denis, 2008. "Is the developing world catching up ? global convergence and national rising dispersion," Policy Research Working Paper Series 4733, The World Bank.
    65. Giulia Colombo, 2010. "Linking CGE and microsimulation models: a comparison of different approaches," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 72-91.
    66. Jorgenson Dale W & Goettle Richard & Ho Mun S & Slesnick Daniel T & Wilcoxen Peter J, 2011. "The Distributional Impact of Climate Policy," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(2), pages 1-28, April.
    67. Krey, Volker & O'Neill, Brian C. & van Ruijven, Bas & Chaturvedi, Vaibhav & Daioglou, Vassilis & Eom, Jiyong & Jiang, Leiwen & Nagai, Yu & Pachauri, Shonali & Ren, Xiaolin, 2012. "Urban and rural energy use and carbon dioxide emissions in Asia," Energy Economics, Elsevier, vol. 34(S3), pages 272-283.
    68. Coxhead, Ian & Wattanakuljarus, Anan & Nguyen, Chan V., 2013. "Are Carbon Taxes Good for the Poor? A General Equilibrium Analysis for Vietnam," World Development, Elsevier, vol. 51(C), pages 119-131.
    69. James Thurlow & Giacomo Branca & Erika Felix & Irini Maltsoglou & Luis E. Rincón, 2016. "Producing Biofuels in Low-Income Countries: An Integrated Environmental and Economic Assessment for Tanzania," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(2), pages 153-171, June.
    70. Morrisson, Christian, 1991. "Adjustment, incomes and poverty in Morocco," World Development, Elsevier, vol. 19(11), pages 1633-1651, November.
    71. Frick, Joachim R. & Jenkings, Stephen P. & Lillard, Dean R. & Lipps, Oliver & Wooden, Mark, 2007. "The Cross-National Equivalent File (CNEF) and Its Member Country Household Panel Studies," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 627-654.
    72. van Ruijven, Bas J. & van Vuuren, Detlef P. & de Vries, Bert J.M. & Isaac, Morna & van der Sluijs, Jeroen P. & Lucas, Paul L. & Balachandra, P., 2011. "Model projections for household energy use in India," Energy Policy, Elsevier, vol. 39(12), pages 7747-7761.
    73. Acharya, Sanjaya & Hölscher, Jens & Perugini, Cristiano, 2012. "Trade liberalisation and inequalities in Nepal: A CGE analysis," Economic Modelling, Elsevier, vol. 29(6), pages 2543-2557.
    74. Arndt, Channing & Benfica, Rui & Thurlow, James, 2011. "Gender Implications of Biofuels Expansion in Africa: The Case of Mozambique," World Development, Elsevier, vol. 39(9), pages 1649-1662, September.
    75. Andrew Feltenstein & Musharraf Cyan, 2012. "A Computational General Equilibrium Approach to Sectoral Analysis for Tax Potential: An Application to Pakistan," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1226, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    76. Hallegatte, Stephane & Bangalore, Mook & Bonzanigo, Laura & Fay, Marianne & Narloch, Ulf & Rozenberg, Julie & Vogt-Schilb, Adrien, 2014. "Climate change and poverty -- an analytical framework," Policy Research Working Paper Series 7126, The World Bank.
    77. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    78. Daioglou, Vassilis & van Ruijven, Bas J. & van Vuuren, Detlef P., 2012. "Model projections for household energy use in developing countries," Energy, Elsevier, vol. 37(1), pages 601-615.
    79. Angus Deaton & Valerie Kozel, 2005. "Data and Dogma: The Great Indian Poverty Debate," World Bank Research Observer, World Bank Group, vol. 20(2), pages 177-199.
    80. Breisinger, Clemens & Ecker, Olivier, 2014. "Simulating economic growth effects on food and nutrition security in Yemen: A new macro–micro modeling approach," Economic Modelling, Elsevier, vol. 43(C), pages 100-113.
    81. Thorbecke, Erik, 1991. "Adjustment, growth and income distribution in Indonesia," World Development, Elsevier, vol. 19(11), pages 1595-1614, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nabernegg, Stefan & Bednar-Friedl, Birgit & Muñoz, Pablo & Titz, Michaela & Vogel, Johanna, 2019. "National Policies for Global Emission Reductions: Effectiveness of Carbon Emission Reductions in International Supply Chains," Ecological Economics, Elsevier, vol. 158(C), pages 146-157.
    2. Fredriksson, Gustav & Landis, Florian & Rausch, Sebastian, 2021. "Between- and within-country distributional impacts from harmonizing carbon prices in the EU," ZEW Discussion Papers 21-067, ZEW - Leibniz Centre for European Economic Research.
    3. Gerald Nelson & Jessica Bogard & Keith Lividini & Joanne Arsenault & Malcolm Riley & Timothy B. Sulser & Daniel Mason-D’Croz & Brendan Power & David Gustafson & Mario Herrero & Keith Wiebe & Karen Coo, 2018. "Income growth and climate change effects on global nutrition security to mid-century," Nature Sustainability, Nature, vol. 1(12), pages 773-781, December.
    4. Anan Wattanakuljarus, 2019. "Effects and burdens of a carbon tax scheme in Thailand," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 173-219, June.
    5. Melnikov, Nikolai B. & O’Neill, Brian C. & Dalton, Michael G. & van Ruijven, Bas J., 2017. "Downscaling heterogeneous household outcomes in dynamic CGE models for energy-economic analysis," Energy Economics, Elsevier, vol. 65(C), pages 87-97.
    6. Stefan Nabernegg & Pablo Muñoz, Birgit Bednar-Friedl, Michaela Titz, Joanna Vogel, 2017. "Effective national mitigation policies for reductions in production and consumption based emissions," EcoMod2017 10462, EcoMod.
    7. Wolfgang Britz & Yaghoob Jafari & Alexandr Nekhay & Roberto Roson, 2020. "Modeling Trade and Income Distribution in Six Developing Countries A dynamic general equilibrium analysis up to the year 2050," Working Papers 2020:03, Department of Economics, University of Venice "Ca' Foscari".
    8. Niklas Jakobsson & Raya Muttarak & Mi Ah Schoyen, 2018. "Dividing the pie in the eco-social state: Exploring the relationship between public support for environmental and welfare policies," Environment and Planning C, , vol. 36(2), pages 313-339, March.
    9. Umed Temursho & Matthias Weitzel & Toon Vandyck, 2020. "Distributional impacts of reaching ambitious near-term climate targets across households with heterogeneous consumption patterns: A quantitative macro-micro assessment for the 2030 Climate Target Plan," JRC Working Papers JRC121765, Joint Research Centre (Seville site).
    10. Kulmer, Veronika & Seebauer, Sebastian, 2017. "How Robust are Estimates of the Rebound Effect of Energy Efficiency Improvements? A Sensitivity Analysis of Consumer Heterogeneity and Elasticities," FCN Working Papers 16/2017, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    11. Manh Toan Nguyen & Tung Lam Dang & Thi Hong Hanh Huynh, 2020. "Trade Liberalization and Income Distribution in Vietnam: Dynamic CGE Approach," Asian Economic Journal, East Asian Economic Association, vol. 34(4), pages 404-429, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrew Feltenstein & Luciana Lopes & Janet Porras Mendoza & Sally Wallace, 2013. "“The Impact of Micro-simulation and CGE modeling on Tax Reform and Tax Advice in Developing Countries”: A Survey of Alternative Approaches and an Application to Pakistan," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1309, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    2. Maheshwar Rao & Robert Tanton & Yogi Vidyattama, 2013. "‘A Systems Approach to Analyse the Impacts of Water Policy Reform in the Murray-Darling Basin: a conceptual and an analytical framework’," NATSEM Working Paper Series 13/22, University of Canberra, National Centre for Social and Economic Modelling.
    3. Andrew Feltenstein & Luciana Lopes & Janet Porras-Mendoza & Sally Wallace, 2014. "Modeling tax reform in developing countries," Chapters, in: Richard M. Bird & Jorge Martinez-Vazquez (ed.), Taxation and Development: The Weakest Link?, chapter 3, pages 69-102, Edward Elgar Publishing.
    4. De Cian, Enrica & Dasgupta, Shouro & Hof, Andries F. & van Sluisveld, Mariësse A.E. & Köhler, Jonathan & Pfluger, Benjamin & van Vuuren, Detlef P., 2020. "Actors, decision-making, and institutions in quantitative system modelling," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    5. Liyanaarachchi, Tilak S. & Naranpanawa, Athula & Bandara, Jayatilleke S., 2016. "Impact of trade liberalisation on labour market and poverty in Sri Lanka. An integrated macro-micro modelling approach," Economic Modelling, Elsevier, vol. 59(C), pages 102-115.
    6. Boccanfuso, Dorothée & Cabral, François & Cissé, Fatou & Diagne, Abdoulaye & Savard, Luc, 2007. "Stratégies de réduction de la pauvreté au Sénégal : une analyse par la modélisation en équilibre général calculable microsimulé," L'Actualité Economique, Société Canadienne de Science Economique, vol. 83(4), pages 483-528, décembre.
    7. D. Boccanfuso & F. Cabral & F. Cissé & A. Diagne & L. Savard, 2003. "Pauvreté et distribution de revenus au Sénégal: une approche par la modélisation en équilibre général calculable micro-simulé," Cahiers de recherche 0333, CIRPEE.
    8. Melnikov, Nikolai B. & O’Neill, Brian C. & Dalton, Michael G. & van Ruijven, Bas J., 2017. "Downscaling heterogeneous household outcomes in dynamic CGE models for energy-economic analysis," Energy Economics, Elsevier, vol. 65(C), pages 87-97.
    9. Thomas W. Hertel & Jeffrey J. Reimer, 2006. "Predicting the Poverty Impacts of Trade Reform," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 2, May.
    10. Anan Wattanakuljarus, 2019. "Effects and burdens of a carbon tax scheme in Thailand," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 173-219, June.
    11. Nils Ohlendorf & Michael Jakob & Jan Christoph Minx & Carsten Schröder & Jan Christoph Steckel, 2021. "Distributional Impacts of Carbon Pricing: A Meta-Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 1-42, January.
    12. Dorothée Boccanfuso & Bernard Decaluwé & Luc Savard, 2008. "Poverty, income distribution and CGE micro-simulation modeling: Does the functional form of distribution matter?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(2), pages 149-184, June.
    13. James B Davies, 2009. "Combining microsimulation with CGE and macro modelling for distributional analysis in developing and transition countries," International Journal of Microsimulation, International Microsimulation Association, vol. 2(1), pages 49-56.
    14. Matteo Richiardi & John Cockburn & Hélène Maisonnave & Luca Tiberti, 2016. "Editorial," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 1-4.
    15. Dorothée Boccanfuso & Luc Savard, 2005. "Analyse d’Impact de la Construction de l’Autoroute Dakar-Thies : un Modèle Equilibre Géneral Calculable Multi-Ménages Intégrés," Cahiers de recherche 05-11, Departement d'Economique de l'École de gestion à l'Université de Sherbrooke.
    16. Dorothée BOCCANFUSO & Luc Savard & A. Diagne, 2004. "Impacts De La Libéralisation Commerciale De L’Agriculture Sur La Pauvreté Et La Distribution De Revenus Au Sénégal," Cahiers de recherche 04-11, Departement d'Economique de l'École de gestion à l'Université de Sherbrooke.
    17. Debowicz, Darío, 2016. "Does the microsimulation approach used in macro–micro modelling matter? An application to the distributional effects of capital outflows during Argentina's Currency Board regime," Economic Modelling, Elsevier, vol. 54(C), pages 591-599.
    18. Bodrun Nahar & Mahinda Siriwardana, 2013. "Trade Opening, Fiscal Reforms, Poverty, and Inequality: A CGE Analysis for Bangladesh," The Developing Economies, Institute of Developing Economies, vol. 51(2), pages 145-185, June.
    19. Matteo Richiardi & John Cockburn & Helene Maisonnave & Luca Tiberti, 2016. "Editorial," Post-Print hal-02314206, HAL.
    20. James B. Davies, 2004. "Microsimulation, CGE and Macro Modelling for Transition and Developing Economies," WIDER Working Paper Series DP2004-08, World Institute for Development Economic Research (UNU-WIDER).

    More about this item

    Keywords

    Income distribution; Climate change; CGE model; Microsimulation; Households;
    All these keywords.

    JEL classification:

    • D30 - Microeconomics - - Distribution - - - General
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • Q00 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - General
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:51:y:2015:i:c:p:530-543. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/locate/eneco .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.