Lessons learned

After 4 years, what are BATModel’s main insights?

 

During the BATmodel final conference, which took place at the beginning of July in Brussels, we asked some of the consortium’s partners to give their accounts of how the four years of BATModel have gone, and what the main conclusions are.

Let’s take a look at the testimonies of our various colleagues.

Globalisation’s Regional Effects on the Agri-Food Sector

Daniel Curzi explores globalisation’s impact on the EU labour market and unhealthy food trends.

Daniel Curzi’s research shows that globalization has regional effects on the agri-food sector, with trade negatively impacting the EU labor market and increasing unhealthy food consumption and obesity. General equilibrium models provide mixed evidence on these health impacts.

Advanced Models for Predicting Trade Impact

Christophe Gouel’s models improve predictions of trade impacts from major shocks like wars.

Christophe Gouel’s research develops new models to better understand and predict trade impacts from major shocks like wars or pandemics. The B model improves trade flow predictions and policy simulations, helping policymakers manage crises more effectively.

Firm-Level Factors Improving Trade Behaviour

Yaghoob Jafari shows how management quality and free trade agreements boost trade performance.

Yaghoob Jafari’s research shows that firm-level factors like management quality, product quality, and access to inputs improve trade behavior. Better institutional quality and involvement in free trade agreements also boost trade.

Quality Upgrading in Global Value Chains

Angela Cheptea highlights how quality improvements enhance global integration and productivity.

Angela Cheptea’s research shows that quality upgrading helps firms integrate into global value chains, boosts productivity for farmers in developing countries, and increases European food company markups. Her macro-level analysis emphasizes the importance of intermediate imports and the indirect effects of trade policies.

NTM’s Disrupting Global Value Chains

Silvia Nenci reveals how NTMs affect agricultural value chains and recommends impact evaluation.

Silvia Nenci’s research shows that non-tariff measures (NTMs) can disrupt global value chains in agriculture, with effects worsened by these linkages. She recommends impact evaluation methods to address self-selection issues and highlights the “cascading effect” on both exporting and importing countries.

Regulatory Convergence and NTM’s

Anne Célia Disdier shows how regulatory alignment cuts trade costs and boosts trade flows.

Anne Célia Disdier discusses her research on non-tariff measures (NTMs) and regulatory convergence, showing that alignment between trading partners reduces trade costs and boosts trade flows, with larger exporters benefiting more than smaller ones.

How Geographical Indications Boost Local Development

Jakob explores how GI protection enhances local development and exports.

Jakob from the B Model project explains their research on Geographic Indications (GIs), showing how GI protection boosts local development and exports. The team highlights the importance of balanced domestic and international GI policies for maximizing economic benefits.