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The Process of Incorporating Energy Data into GTAP. by Truong P. Truong. Current status. Release 3 GTAP 4E (8 Oct 99) IEA volume data updated to 1997 (by Christophe Complainville) energy price data indexed to 1997
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The Process of Incorporating Energy Data into GTAP by Truong P. Truong
Current status • Release 3 GTAP 4E (8 Oct 99) • IEA volume data updated to 1997(by Christophe Complainville) • energy price data indexed to 1997 • process is now standardized,automated and ready for incorporation into GTAP 5
Strengths • GTAP 4E is more ‘consistent’ with the energy volume, price, and tax information than is the standard GTAP 4, • more comprehensive information on energy taxation in GTAP 4E than in GTAP 4
Weakness • The process of integration of the energy data into GTAP 4E is still ad hoc, incomplete (some regions do not converge) and lacking in a firm theoretical direction
Future direction • Improvements on methodology is needed • in particular, the convergence process in FIT-E needs to be examined
Methodological issues • IEA volume data and GTAP I/O data are constructed along different lines: • IEA: ‘commodity’ physical flow, or ‘material balance’ approach • GTAP: ‘transactions’ accounting by ‘establishment’ units
Examples of differences: cost structure • IEA : no other fuels can be used in the production of primary fuels (coal, gas, oil), except itself; only crude oil is used to produce p_c. • GTAP: cost structure may reflect establishment expenditure pattern, rather than physical production process; and each establishment may engage in more than one activity.
Examples of complementarity: sales or usage pattern • IEA usage pattern (of specific energy commodity) can be used to throw light on GTAP’s classification of establishments (to various sectors), and vice versa, • This can lead to: manual adjustments (re-classification of certain flows), or automatic adjustments (‘targeting’ of GTAP sales structure in FIT-E).
Conclusions • ‘Forcing’ the IEA framework onto the GTAP database may be inappropriate: • avoid ‘targeting’ GTAP 4 cost structure by using IEA ‘production technology’ information
Conclusions (ctd.) • Should look at ways of using the the two data bases in a more ‘complementary’ fashion: • IEA data to cross check on GTAP ‘establishment’ classification, and vice versa; IEA usage pattern for use in ‘targeting’ of GTAP sales structure.