Clara G Bouyssou
Biographic Data
| ID | 6460547 |
|---|---|
| NAME | Clara G Bouyssou |
| GIVEN NAMES | Clara G |
| FAMILY NAME | Bouyssou |
| SIGNATURE | BOUYSSOU C G |
| AFFILIATIONS | University of Copenhagen |
| ORCID | 0000-0001-7076-2383 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
A taste of tomorrow
We design a novel data-driven approach to project food demand parameters over time. • We train a machine learning model using meta -analysis and socioeconomic data. • The Shared Socioeconomic Pathways drivers are used to project the parameters. • We provide demand parameters for 12 food types in 138 countries under 5 SSP. • An illustration with 20 CGE simulations shows the added value of this new approach. Food policy assessments and food demand …
Food for thought
Animal food products are featured prominently in current debates on dietary transitions. Food demand projections and policy evaluations often draw on expenditure and price elasticity estimates; thus, it is crucial that these elasticities are robust at an adequate product disaggregation, well-founded, and comparable both across products and countries. To the extent of our knowledge, there is no analysis providing meta-elasticities for all world re…
Food for thought
Animal food products are featured prominently in current debates on dietary transitions. Food demand projections and policy evaluations often draw on expenditure and price elasticity estimates; thus, it is crucial that these elasticities are robust at an adequate product disaggregation, well-founded, and comparable both across products and countries. To the extent of our knowledge, there is no analysis providing meta-elasticities for all world re…
Food for thought
Animal food products are featured prominently in current debates on dietary transitions. Food demand projections and policy evaluations often draw on expenditure and price elasticity estimates; thus, it is crucial that these elasticities are robust at an adequate product disaggregation, well-founded, and comparable both across products and countries. To the extent of our knowledge, there is no analysis providing meta-elasticities for all world re…
A taste of tomorrow
We design a novel data-driven approach to project food demand parameters over time. • We train a machine learning model using meta -analysis and socioeconomic data. • The Shared Socioeconomic Pathways drivers are used to project the parameters. • We provide demand parameters for 12 food types in 138 countries under 5 SSP. • An illustration with 20 CGE simulations shows the added value of this new approach. Food policy assessments and food demand …
Agriculture Sustainability and Environmental Impact (2 works) · Biology (2 works) · Economics (2 works) · Economics of Agriculture and Food Markets (2 works) · Energy, Environment, and Transportation Policies (2 works) · Food Science (2 works) · Agricultural economics (1 work) · Agriculture (1 work) · Econometrics (1 work) · Elasticity (physics (1 work)