Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Starting from a short presentation of the limits of using conventional production functions to hybridize energy-economy relationships, this paper presents a methodology aiming at a better integration of bottom-up policy scenarios in a top-down static general equilibrium framework. Along the lines of Ahmad’s innovation possibility curve, the methodology consists in implementing top-down envelopes of production and demand functions, whose variable point elasticities of substitution provide a flexible interface for calibration on any bottom-up expertise. Numerical experiments assessing the impact of a rising carbon tax on the global 2030 economy compare the application of this methodology to that of two standard CES-based approaches. Results confirm that, in case of large departures from reference scenarios or of strong convexities in bottom-up results, the use of conventional CESproduction and utility functions may lead to a significant bias in cost assessment.