Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 437050
Title Measuring technical efficiency in the presence of pesticide spillovers and production uncertainty: The case of Dutch arable farms
Author(s) Skevas, T.; Oude Lansink, A.G.J.M.; Stefanou, S.E.
Source European Journal of Operational Research 223 (2012)2. - ISSN 0377-2217 - p. 550 - 559.
Department(s) Business Economics
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) nonparametric production analysis - distance function-approach - data envelopment analysis - undesirable outputs - environmental performance - technological-change - weak disposability - electric utilities - paper-industry - canadian pulp
Abstract Pesticides’ dynamic effects and production uncertainty play an important role in farmers’ production decisions. Pesticides have a current production impact through reducing crop damage in the current period and a future impact through impacting the farm biodiversity which alters the future production environment. This study presents the difference in inefficiency arising from models that ignore the dynamic effects of pesticides in production decisions and the impact of production uncertainty. A dynamic data envelopment analysis (DEA) model is applied to outputs, inputs, and undesirables of Dutch arable farms over the period 2003–2007. A bootstrap approach is used to explain farmers’ performance, providing empirical representations of the impact of stochastic elements on production. These empirical representations are used to adjust firms’ inefficiency scores to incorporate production uncertainty in efficiency evaluation. We find that efficiency increased dramatically when a production technology representation that considers both pesticides’ dynamic impacts, and production uncertainty is adopted.
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