Fiche du document
2022
- handle: 10670/1.fqhbol
- hal: hal-04093766
- doi: 10.2139/ssrn.4173087
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.2139/ssrn.4173087
Mots-clés
New product introduction Export prices Quality upgrading Quality differentiation F - International Economics/F.F1 - Trade/F.F1.F14 - Empirical Studies of Trade L - Industrial Organization/L.L6 - Industry Studies: Manufacturing/L.L6.L66 - Food • Beverages • Cosmetics • Tobacco • Wine and Spirits O - Economic Development, Innovation, Technological Change, and Growth/O.O3 - Innovation • Research and Development • Technological Change • Intellectual Property Rights/O.O3.O31 - Innovation and Invention: Processes and IncentivesSujets proches
NPD (Marketing) Product development Products, New New product development Frenchmen (French people) Pattern Model Businesses Firms Companies Enterprises Business organizations Organizations, BusinessCiter ce document
Kevin Randy Chemo Dzukou et al., « Product Innovation and Export Strategy: An Application to French Dairy Firms », HAL-SHS : économie et finance, ID : 10.2139/ssrn.4173087
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Résumé
The aim of this paper is to advance understanding of the introduction of new products on foreign markets. Since most data on innovation are available at firm level, previous studies have focused on the cost-reducing aspect of innovation. In this article, we highlight the role of quality-upgrading aspect of innovation. We present our theoretical model with empirical evidence from disaggregated (at the firm-product-destination level) French data. In the model, firms upgrade their product-quality through innovation and by introducing new products, which encourages the firms to adapt their export prices. The direction of the effect depends on the scope for quality differentiation on the destination market. Thanks to the Mintel Global New Products Database, a unique database of new product launches that measures innovation at a disaggregated level, we were able to test model predictions for the French dairy industry with a matching methodology. The results are consistent with the predictions and highly robust.