This report investigates the impact of corporate research and development (R&D) on firm performance in the food-processing industry. The agro-food industry is usually considered to be a low-tech sector (the share of total output that is attributable to R&D is around 0.27% in the EU). However, the agro-food industry is very heterogeneous. On the one hand, there are many highly innovative food-processing firms with intensive R&D activity and, on the other hand, many food-processing firms derive and adopt innovations from other sectors such as machinery, packaging and other manufacturing suppliers. We perform data envelopment analysis (DEA) with two-step bootstrapping, which allows us to correct the bias in (in)efficiency and generate unbiased estimates for (in)efficiencies. We use a corporate dataset of 307 companies from agriculture and food-processing industries from the EU, the USA, Canada and Japan for the period 1991–2009. The estimates suggest that R&D has a positive effect on firms’ performance, with marginal gains decreasing at the R&D level, and performance differences detected across regions and food sectors. General public expenditure in R&D is also associated with a positive impact on firm performance. As a result, policy support for this type of non-high-tech innovative sector is expected to generate growth. However, results that suggest heterogeneity in R&D effects across EU Member States may point to differences in the implications of innovation policies across EU regions.
GARZON DELVAUX Pedro;
HOCKMANN Heinrich;
VOIGT Peter;
CIAIAN Pavel;
GOMEZ Y PALOMA Sergio;
2018-09-19
Publications Office of the European Union
JRC104144
978-92-79-63972-2,
1831-9424,
EUR 28249 EN,
OP LB-NA-28249-EN-N,
https://publications.jrc.ec.europa.eu/repository/handle/JRC104144,
10.2788/85468,
| Name | Country | City | Type |
|---|
This document is only visible at the Commission level.
You are not authorized to publish or distribute it outside the European Commission.
This is a public document. You can share this publication.
Datasets
| ID | Title | Public URL |
|---|
Dataset collections
| ID | Acronym | Title | Public URL |
|---|
Scripts / source codes
| Description | Public URL |
|---|
Additional supporting files
| File name | Description | File type |
|---|