Article ID: | iaor19972353 |
Country: | United Kingdom |
Volume: | 15 |
Issue: | 6 |
Start Page Number: | 459 |
End Page Number: | 476 |
Publication Date: | Nov 1996 |
Journal: | International Journal of Forecasting |
Authors: | Majumdar Saumen, Parikh Jyoti |
Keywords: | forecasting: applications, simulation: applications |
The energy sector in India claims 30% of the available investments. Moreover, oil import bills have the largest share among the total import bills. Thus, macro economic development and energy sector are highly interdependent. Where energy demand is forecasted without these linkages one cannot be sure if investments and imports required for energy sector will be available. The Simulation of MAcroeconomic scenarios (SIMA) model generates macroeconomically consistent energy scenarios from two interlinked submodels i.e. economic and energy submodels. The energy sector is a part of the non-agricultural sector but it is linked to both the agricultural and the non-agricultural sectors. These three sectors compete with each other for the available capital. In a two-step procedure, various energy economy relations are econometrically estimated and then these are solved simultaneously by feeding in the exogenous parameters (population, oil prices, etc.). The scenarios created correspond to 1991-2010. They are the Dynamics As Usual and the High Oil Price scenarios with capital required for phasing in the electricity sector. Energy-related emission levels for pollutants such as CO