arbiter
JournalsAccount

Firm-level innovation, productivity, and efficiency in riskful business environments: A case study of agribusiness in El Salvador

Gabriel Rosero et al.

European Review of Agricultural Economics2026https://doi.org/10.1093/erae/jbaf069article
AJG 3ABDC A
Weight
0.50

Abstract

Agribusinesses contribute 40–70 percent of the total value added in the food value chain of developing countries; however, they remain under-researched. We investigate whether firm-level innovation improves economic performance using World Bank Enterprise Surveys for El Salvador. We extend the Crépon–Duguet–Mairesse model with a selectivity-corrected stochastic frontier and a metafrontier framework. We find that innovation increases potential total sales and reduces the technology gap, but does not improve technical efficiency. This suggests that, without complementary managerial and institutional support—particularly in contexts where insecurity imposes high operational and opportunity costs—the benefits of innovation do not necessarily lead to productivity gains.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1093/erae/jbaf069

Or copy a formatted citation

@article{gabriel2026,
  title        = {{Firm-level innovation, productivity, and efficiency in riskful business environments: A case study of agribusiness in El Salvador}},
  author       = {Gabriel Rosero et al.},
  journal      = {European Review of Agricultural Economics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1093/erae/jbaf069},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Firm-level innovation, productivity, and efficiency in riskful business environments: A case study of agribusiness in El Salvador

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.