Farm innovation and technical efficiency of Dutch arable farms: An innovation index and DEA approach

Annika Francesca Tensi, Frederic Ang and Ine van der Fels-Klerx

No 321163, 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium from Agricultural Economics Society - AES

Abstract: In this article, we analysed the relationship between farm innovation and farm efficiency. We computed an innovation index based on Dutch Innovation Monitor data and ratings from an expert elicitation. The innovation index is an adaptation and extension of an existing innovation index for Irish dairy farms. We computed technical efficiency scores with a Data Envelopment Analysis (DEA). The DEA scores are computed with Farm Accountancy Data Network (FADN) data. We investigated the relationship with pre-registered ordinary least square (OLS) regression analyses in quadratic form and additional Chi-square tests. Unanimously, we reject the first hypothesis that farm innovation and farm efficiency can be described by an inverse parabolic relationship. Early adopters and innovators are not necessarily less efficient than the early and late majority of innovation adopters. We also reject the second hypothesis that innovation front-runners become more efficient. These are preliminary findings.

Keywords: Farm Management; Research and Development/Tech Change/Emerging Technologies (search for similar items in EconPapers)
Pages: 25
Date: 2022-04
New Economics Papers: this item is included in nep-agr, nep-cse, nep-dem, nep-eff, nep-ino and nep-sbm
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aesc22:321163

DOI: 10.22004/ag.econ.321163

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