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

Sharma, Abhijit, Bailey, Alastair, Fraser, Iain M (2011) Technology Adoption and Pest Control Strategies Among UK Cereal Farmers: Evidence from Parametric and Nonparametric Count Data Models. Journal of Agricultural Economics, 62 (1). pp. 73-92. ISSN 0021-857X. (doi:10.1111/j.1477-9552.2010.00272.x) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:40224)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1111/j.1477-9552.2010.00272.x

Abstract

This paper examines the intensity of technology adoption and integrated pest management strategies employed by UK farmers, using both parametric and nonparametric methods. We employ a unique survey dataset collected from UK cereal farmers to assess the determinants of technology adoption in relation to pest management. Our preferred model specification is nonparametric, with models estimated yielding broadly similar results, with some important qualitative differences. All models indicate that total area farmed is positively related to the number of technologies adopted, whereas the number of years of experience of the farmer is negatively related. We also find evidence with our nonparametric specification of significant statistical differences for number of adoptions by region across the UK.

Item Type: Article
DOI/Identification number: 10.1111/j.1477-9552.2010.00272.x
Additional information: number of additional authors: 2;
Uncontrolled keywords: Adoption; cereal farming; nonparametric; technology; UK O14; Q16
Subjects: H Social Sciences > HB Economic Theory
Divisions: Divisions > Division of Human and Social Sciences > School of Economics
Depositing User: Stewart Brownrigg
Date Deposited: 07 Mar 2014 00:05 UTC
Last Modified: 16 Nov 2021 10:15 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/40224 (The current URI for this page, for reference purposes)

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