Technology Adoption And Pest Control Strategies Among UK Cereal Farmers: Evidence from Parametric and Nonparametric Count Data Models

Abhijit Sharma (), Alastair Bailey and Iain Fraser

MPRA Paper from University Library of Munich, Germany

Abstract: This paper examines technology adoption and integrated pest management strategies employed by UK farmers, using both parametric and nonparametric methods. We employ a unique survey data set collected from UK cereal farmers to assess the determinants of technology adoption in relation to pest management. Our preferred model specification is nonparametric which makes use of the recently developed methods of Li and Racine (2007) and Racine and Li (2004). These methods allow us to combine categorical and continuous data and thereby avoid sample splitting and resulting efficiency losses. Our analysis reveals that total area farmed is positively related to the number of technologies adopted, whereas age is negatively related. We also find evidence of significant statistical differences for number of adoptions by region across the UK.

Keywords: technology; adoption; cereal farming; UK; nonparametric (search for similar items in EconPapers)
JEL-codes: O14 Q16 (search for similar items in EconPapers)
Date: 2009-06-18
New Economics Papers: this item is included in nep-agr and nep-eff
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Citations: View citations in EconPapers (5)

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Related works:
Journal Article: Technology Adoption and Pest Control Strategies Among UK Cereal Farmers: Evidence from Parametric and Nonparametric Count Data Models (2011)
Working Paper: Technology Adoption And Pest Control Strategies Among UK Cereal Farmers: Evidence from Parametric and Nonparametric Count Data Models (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:15805

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