Review of Energy-Economy-Environment Models

  • Tejal Kanitkar
Part of the SpringerBriefs in Environmental Science book series (BRIEFSENVIRONMENTAL)


Evaluating the complex demands on the energy system is the task of energy and economic models built to evaluate the linkages between key economic parameters and energy use. In the current context of climate change mitigation these models have been used to provide long-range forecasts of energy requirements and the consequent emissions in the future. Some of the aspects that these models try to address are (i) estimating energy consumption, considered a major area of concern; (ii) forecasting resource potential and reserves, mainly for oil and gas availability; (iii) the study of energy substitutions; and (iv) forecasting economic growth, income, and energy use and supply linkages for the future. Models that address these issues highlighted above range from simple bottom-up exercises undertaken to evaluate the economic viability of a certain fuel source to complex integrated energy planning models using multi-objective programming techniques linked with some forms of input-output and general equilibrium models. This chapter provides a review of the main trends and methodologies used in these models to analyze the issues outlined above. Some models constructed for the Indian energy and economic system are discussed in more detail. A section on the advantages as well as disadvantages of these models and their applicability to addressing the situation especially in developing economies such as India, as well as a brief introduction to the proposed integrated modeling framework, is also included in this chapter.


Energy forecasts Input-output models Computable general equilibrium models Decomposition analysis 


  1. Anderson, K., Bows, A., & Mander, S. (2008). From long-term targets to cumulative emission pathways: Reframing UK climate policy. Energy Policy, 36(10), 3714–3722.CrossRefGoogle Scholar
  2. Ang, B. W., & Zhang, F. Q. (2000). A survey of index decomposition analysis in energy and environmental studies. Energy, 25(12), 1149–1176.CrossRefGoogle Scholar
  3. Arbex, M., & Perobelli, F. (2010). Solow meets Leontief: Economic growth and energy consumption. Energy Economics, 32(2010), 43–53.CrossRefGoogle Scholar
  4. Ardakani, F. J., & Ardehali, M. M. (2014). Novel effects of demand side management data on accuracy of electrical energy consumption modeling and long-term forecasting. Energy Conversion and Management, 78, 745–752.CrossRefGoogle Scholar
  5. Badri, M. A. (1992). Analysis of demand for electricity in the United States. Energy, 17(7), 725–733.CrossRefGoogle Scholar
  6. Blakemore, F. B., Davies, C., & Isaac, J. G. (1994). UK energy market: An analysis of energy demands. Part I: A disaggregated sectorial approach. Applied Energy, 48(3), 261–277.CrossRefGoogle Scholar
  7. Bowe, T. R., Dapkus, W. D., & Patton, J. B. (1990). 5.3. Markov models. Energy, 15(7–8), 661–676.CrossRefGoogle Scholar
  8. Chakravarty, D., Dasgupta, S., & Roy, J. (2013). Rebound effect: How much to worry? Current Opinion in Environmental Sustainability, 5(2), 216–228.CrossRefGoogle Scholar
  9. Chadha, R. (1998). The impact of trade and domestic policy reforms in India: A CGE modeling approach. Ann Arbor: University of Michigan Press.Google Scholar
  10. Chen, Q., Kang, C., Xia, Q., & Zhong, J. (2010). Power generation expansion planning model towards low-carbon economy and its application in China. IEEE Transactions on Power Delivery, 25(2), 1117–1125.CrossRefGoogle Scholar
  11. Dean, A., Hoeller, P., & Organisation for Economic Co-operation and Development. Economics Dept. (1992). Costs of reducing CO 2 emissions: Evidence from six global models (Vol 2). Paris: OECD.Google Scholar
  12. Defourny, J., & Thorbecke, E. (1984). Structural path analysis and multiplier decomposition within a social accounting matrix framework. The Econometrics Journal, 94(373), 111–136.Google Scholar
  13. De Musgrove, A. R. (1984). A linear programming analysis of liquid‐fuel production and use options for Australia. Energy, 9, 281–302.Google Scholar
  14. Fouquet, R. (2010). The slow search for solutions: Lessons from historical energy transitions by sector and service. Energy Policy, 38(11), 6586–6596.CrossRefGoogle Scholar
  15. Galli, R. (1998). The relationship between energy intensity and income levels: forecasting long term energy demand in Asian emerging countries. The Energy Journal, 19, 85–105.CrossRefGoogle Scholar
  16. GoI. (2011). Planning Commissions, Government of India. Interim Report of the Expert Group on Low Carbon Strategies and Inclusive Growth. Retrieved December 6, 2015, from
  17. Hammond, G. P., & Mackay, R. M. (1993). Projection of UK oil and gas supply and demand to 2010. Applied Energy, 44, 93–112.CrossRefGoogle Scholar
  18. Harish, V. S. K. V., & Kumar, A. (2014). Demand side management in India: Action plan, policies and regulations. Renewable and Sustainable Energy Reviews, 33, 613–624.CrossRefGoogle Scholar
  19. Hartono, D., & Resosudarmo, B. P. (2008). The economy-wide impact of controlling energy consumption in Indonesia: An analysis using a Social Accounting Matrix framework. Energy Policy, 36(4), 1404–1419.CrossRefGoogle Scholar
  20. Hayden, C., & Round, J. I. (1982). Developments in social accounting methods as applied to the analysis of income distribution and employment issues. World Development, 10(6), 451–465.CrossRefGoogle Scholar
  21. Hsu, G. J., Leung, P., & Ching, C. T. (1988). Energy planning in Taiwan: An alternative approach using a multi-objective programming and input-output model. The Energy Journal, 9(1), 53–72.CrossRefGoogle Scholar
  22. Hubbert, M. K. (1975). Survey of world energy resources. Energy Sources Future, 1, 3–38.Google Scholar
  23. Hubacek, K., Guan, D., & Barua, A. (2007). Changing lifestyles and consumption patterns in developing countries: A scenario analysis for China and India. Futures, 39(9), 1084–1096.CrossRefGoogle Scholar
  24. Indo-German Centre for Sustainability. (2014). Long term energy and developmental pathways for India. Chennai: IIT Madras. Retrieved April 28, 2016, from
  25. Janvry, A. D., & Subbarao, K. (1986). Agricultural price policy and income distribution in India. In Studies in economic development and planning (Vol. 43). Oxford: Oxford University Press.Google Scholar
  26. Javeed Nizami, S. S. A. K., & Al-Garni, A. G. (1995). Forecasting electric energy consumption using neural networks. Energy Policy, 23, 1097–1104.CrossRefGoogle Scholar
  27. Jebaraj, S., & Iniyan, S. (2006). A review of energy models. Renewable and Sustainable Energy Reviews, 10(4), 281–311.CrossRefGoogle Scholar
  28. Jevons, W. S. (1906). The coal question: An inquiry concerning the progress of the nation, and the probable exhaustion of our coal-mines. London: Macmillan.Google Scholar
  29. Joshi, B., Bhatti, T. S., & Bansal, N. K. (1992). Decentralized energy planning model for a typical village in India. Energy, 17(9), 869–876.CrossRefGoogle Scholar
  30. Kanitkar, T., Banerjee, R., & Jayaraman, T. (2015). Impact of economic structure on mitigation targets for developing countries. Energy for Sustainable Development, 26, 56–61.CrossRefGoogle Scholar
  31. Kemp, R. (1994). Technology and the transition to environmental sustainability: The problem of technological regime shifts. Futures, 26(10), 1023–1046.CrossRefGoogle Scholar
  32. Kojima, M., & Bacon, R. (2009). Changes in CO 2 emissions from energy use: A multicountry decomposition analysis. Washington: World Bank.Google Scholar
  33. Kumar, A., Bhattacharya, S. C., & Pham, H. L. (2003). Greenhouse gas mitigation potential of biomass energy technologies in Vietnam using the long range energy alternative planning system model. Energy, 28(7), 627–654.CrossRefGoogle Scholar
  34. Landsberg, P. T. (1977). A simple model for solar energy economics in the UK. Energy, 2(2), 149–159.MathSciNetCrossRefGoogle Scholar
  35. Lee, C.-C. (2005). Energy consumption and GDP in developing countries: a cointegrated panel analysis. Energy Economics, 27(2005), 415–427.CrossRefGoogle Scholar
  36. Lovins, A. B., & Parisi, A. J. (1977). Energy strategy: The road not taken? Collingwood: Friends of the Earth Australia.CrossRefGoogle Scholar
  37. Macal, C. M., Bragen, M. J., & Marshall, J. E. (1987). An integrated energy planning model for Illinois. Energy, 12(12), 1239–1250.CrossRefGoogle Scholar
  38. Manne, A. S., & Richels, R. G. (2005). MERGE: An integrated assessment model for global climate change. In Energy and Environment (pp. 175–189). New York: Springer.CrossRefGoogle Scholar
  39. Mallah, S., & Bansal, N. K. (2010). Allocation of energy resources for power generation in India: Business as usual and energy efficiency. Energy Policy, 38(2), 1059–1066.CrossRefGoogle Scholar
  40. Marchetti, C. (1977). Primary energy substitution models: On the interaction between energy and society. Technological Forecasting and Social Change, 10(4), 345–356.CrossRefGoogle Scholar
  41. MoEF. (2009). India’s GHG emissions Profile, Results of five climate modeling studies.Google Scholar
  42. Nag, B., & Parikh, J. (2000). Indicators of carbon emission intensity from commercial energy use in India. Energy Economics, 22(4), 441–461.CrossRefGoogle Scholar
  43. Nordhaus, W. D. (2008). A question of balance: Weighing the options on global warming policies. New Haven: Yale University Press.Google Scholar
  44. Pal, B. D., Ojha, V. P., Pohit, S., & Roy, J. (2015). An environmental computable general equilibrium (CGE) model for India. In GHG emissions and economic growth (pp. 73–93). New Delhi: Springer.Google Scholar
  45. Parikh, J., & Ghosh, P. P. (2009). Energy technology alternatives for India till 2030. International Journal of Energy Sector Management, 3(3), 233–250.CrossRefGoogle Scholar
  46. Parikh, J., Panda, M., Ganesh-Kumar, A., & Singh, V. (2009). CO2 emissions structure of Indian economy. Energy, 34(8), 1024–1031.CrossRefGoogle Scholar
  47. Parikh, J., & Gokarn, S. (1993). Climate change and India’s energy policy options: New perspectives on sectoral CO2 emissions and incremental costs. Global Environmental Change, 3(3), 276–291.CrossRefGoogle Scholar
  48. Paul, S., & Bhattacharya, R. N. (2004). CO2 emission from energy use in India: A decomposition analysis. Energy Policy, 32(5), 585–593.CrossRefGoogle Scholar
  49. Pradhan, B. K., & Ghosh, J. (2012). The impact of carbon taxes on growth emissions and welfare in India: A CGE analysis. New Delhi: Institute of Economic Growth, University of Delhi.Google Scholar
  50. Pradhan, B. K., Sahoo, A., & Saluja, M. R. (1999). A social accounting matrix for India, 1994–95. Economic and Political Weekly, 34, 3378–3394.Google Scholar
  51. Pradhan, B. K., Saluja, M. R., Singh, S. K., & Singh, S. K. (2006). Social accounting matrix for India: Concepts, construction and applications. New Delhi: Sage.Google Scholar
  52. Pieters, J. (2010). Growth and inequality in India: Analysis of an extended social accounting matrix. World Development, 38(3), 270–281.CrossRefGoogle Scholar
  53. Pollin, R., & Chakraborty, S. (2015). An Egalitarian Green Growth Program for India. Economic and Political Weekly, 42(2015), 38–52.Google Scholar
  54. Powell, M., & Round, J. I. (2000). Structure and linkage in the economy of Ghana: A SAM approach. In Economic reforms in Ghana: Miracle or mirage (pp. 68–87). Borough of Melton: James Currey.Google Scholar
  55. Pyatt, G., Thorbecke, E., & Emmerij, L. (1976). Planning techniques for a better future: A summary of a research project on planning for growth, redistribution and employment. Geneva: International Labour Office.Google Scholar
  56. Pyatt, G., & Round, J. I. (1979). Accounting and fixed price multipliers in a social accounting matrix framework. The Economic Journal, 89(356), 850–873.CrossRefGoogle Scholar
  57. Pyatt, G., & Round, J. I. (1985). Social accounting matrices: A basis for planning. Washington: The World Bank.Google Scholar
  58. Rahman, S. H. (1988). Aggregate energy demand projections for India: an econometric approach. Pacific and Asian Journal of Energy, 2, 32–46.Google Scholar
  59. Rai, V., & Victor, D. (2009). Climate change and the energy challenge: A pragmatic approach for India. Economic and Political Weekly, 44(31), 78–85.Google Scholar
  60. Rao, R. D., & Parikh, J. K. (1996). Forecast and analysis of demand for petroleum products in India. Energy Policy, 24(6), 583–592.CrossRefGoogle Scholar
  61. Reddy, B. S. (1995). A multilogit model for fuel shifts in the domestic sector. Energy, 20(9), 929–936.CrossRefGoogle Scholar
  62. Reddy, B. S., & Ray, B. K. (2010). Decomposition of energy consumption and energy intensity in Indian manufacturing industries. Energy for Sustainable Development, 14(1), 35–47.CrossRefGoogle Scholar
  63. Reinert, K. A., & Roland-Holst, D. W. (1997). Social accounting matrices. In Applied methods for trade policy analysis: A handbook (pp. 94–121). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  64. Round, J. (2003). Social accounting matrices and SAM-based multiplier analysis. In The impact of economic policies on poverty and income distribution: Evaluation techniques and tools (pp. 261–276). London: Palgrave Macmillan.Google Scholar
  65. Roy, J. (2000). The rebound effect: Some empirical evidence from India. Energy Policy, 28(6–7), 433–438.CrossRefGoogle Scholar
  66. Sarkar, H., & Subbarao, S. V. (1981). a short term macro forecasting model for India—Structure and uses. Indian Economic Review, 16, 55–80.Google Scholar
  67. Saluja, M. R., & Yadav, B. (2006). Social accounting matrix for India 2003–04. Haryana: India Development Foundation.Google Scholar
  68. Smil, V. (1998). Future of oil: Trends and surprises. OPEC Review, 22(4), 253–276.CrossRefGoogle Scholar
  69. Stern, M. O. (1977). A policy-impact model for the supply of depletable resources with applications to crude oil. Energy, 2(3), 257–272.CrossRefGoogle Scholar
  70. Shukla, P. R., Dhar, S., & Mahapatra, D. (2008). Low-carbon society scenarios for India. Climate Policy, 8(sup1), S156–S176.CrossRefGoogle Scholar
  71. Suganthi, L., & Jagadeesan, T. R. (1992). A modified model for prediction of India’s future energy requirement. International Journal of Energy and Environment, 3(4), 371–386.Google Scholar
  72. Suganthi, L., & Samuel, A. A. (2012). Energy models for demand forecasting—A review. Renewable and Sustainable Energy Reviews, 16(2), 1223–1240.CrossRefGoogle Scholar
  73. Suganthi, L., & Williams, A. (2000). Renewable energy in India—a modelling study for 2020–2021. Energy Policy, 28(15), 1095–1109.CrossRefGoogle Scholar
  74. Shukla, P. R. (2006). India’s GHG emission scenarios: Aligning development and stabilization paths. Current Science (Bangalore), 90(3), 384.Google Scholar
  75. Tarp, F., Roland-Holst, D., & Rand, J. (2002). Trade and income growth in Vietnam: Estimates from a new social accounting matrix. Economic Systems Research, 14(2), 157–184.CrossRefGoogle Scholar
  76. Taylor, L. (1990). Structuralist CGE models. Socially relevant policy analysis. Structuralist computable general equilibrium models for the developing world. Cambridge, MA: MIT Press.Google Scholar
  77. Taylor, L., & Taylor, L. (2009). Reconstructing macroeconomics: Structuralist proposals and critiques of the mainstream. Cambridge, MA: Harvard University Press.Google Scholar
  78. TERI. (2006). National Energy Map for India: Technology vision 2030. The Energy and Resources Institute, Office of the Principal Scientific Advisor, Government of India.Google Scholar
  79. The Energy and Resources Institute. (2008). National Energy Map for India: Technology Vision 2030., ISBN 81-7993-064-5. New Delhi: TERI Press.Google Scholar
  80. Thorbecke, E. (1992). Adjustment and equity in Indonesia. In Development Centre of the Organisation for Economic Co-operation and Development. Paris: OECD Publications and Information Centre [Distributor].Google Scholar
  81. Vashishtha, S., & Ramachandran, M. (2006). Multicriteria evaluation of demand side management (DSM) implementation strategies in the Indian power sector. Energy, 31(12), 2210–2225.CrossRefGoogle Scholar
  82. Wang, T., & Watson, J. (2010). Scenario analysis of China’s emissions pathways in the 21st century for low carbon transition. Energy Policy, 38(7), 3537–3546.CrossRefGoogle Scholar
  83. Weinberg, A. M. (1979). Limits to energy modeling (No. ORAU/IEA-79-16 (0)). Oak Ridge: Oak Ridge Associated Universities, Inc., TN (USA). Inst. for Energy Analysis.Google Scholar
  84. York, R., Rosa, E. A., & Dietz, T. (2003). STIRPAT, IPAT and ImPACT: Analytic tools for unpacking the driving forces of environmental impacts. Ecological Economics, 46(3), 351–365.CrossRefGoogle Scholar

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© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Tejal Kanitkar
    • 1
  1. 1.School of Natural Sciences and EngineeringNational Institute of Advanced StudiesBengaluruIndia

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