IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

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

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

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.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

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

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Energy Economics.

Volume (Year): 51 (2015)
Issue (Month): C ()
Pages: 530-543

as
in new window

Handle: RePEc:eee:eneeco:v:51:y:2015:i:c:p:530-543
DOI: 10.1016/j.eneco.2015.08.017
Contact details of provider: Web page: http://www.elsevier.com/locate/eneco

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  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, 05.
  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, Elsevier.
  18. Olivier Durand-Lasserve & Lorenza Campagnolo & Jean Chateau & Rob Dellink, 2015. "Modelling of Distributional Impacts of Energy Subsidy Reforms: an Illustration with Indonesia," Working Papers 2015.68, Fondazione Eni Enrico Mattei.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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, 07.
  24. 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.
  25. Ahmed, Vaqar & O' Donoghue, Cathal, 2007. "CGE-Microsimulation Modelling: A Survey," MPRA Paper 9307, University Library of Munich, Germany.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
  37. Sánchez, Marco V. & Cicowiez, Martín, 2014. "Trade-offs and Payoffs of Investing in Human Development," World Development, Elsevier, vol. 62(C), pages 14-29.
  38. 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.
  39. 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.
  40. 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).
  41. 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.
  42. 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.
  43. 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.
  44. Cogneau, Denis & Robilliard, Anne-Sophie, 2000. "Growth, distribution and poverty in Madagascar," TMD discussion papers 61, International Food Policy Research Institute (IFPRI).
  45. 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.
  46. 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.
  47. Jann Lay, 2010. "Sequential macro-micro modelling with behavioural microsimulations," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 24-34.
  48. Bourguignon, François & Bussolo, Maurizio, 2013. "Income Distribution in Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, Elsevier.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. 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, 03.
  58. Hertel, Thomas & Burke, Marshall & Lobell, David, 2010. "The Poverty Implications of Climate-Induced Crop Yield Changes by 2030," GTAP Working Papers 3196, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
  59. 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.
  60. 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.
  61. 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.
  62. 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.
  63. 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.
  64. 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.
  65. 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.
  66. 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.
  67. Morrisson, Christian, 1991. "Adjustment, incomes and poverty in Morocco," World Development, Elsevier, vol. 19(11), pages 1633-1651, November.
  68. 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, ZBW - German National Library of Economics, pages 627-654.
  69. 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.
  70. 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.
  71. Toon Vandyck, 2013. "Efficiency and equity aspects of energy taxation," ERSA conference papers ersa13p945, European Regional Science Association.
  72. 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.
  73. 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.
  74. 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.
  75. 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.
  76. 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.
  77. 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.
  78. 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)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

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: (Dana Niculescu)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.