The role of pest pressure in technical and environmental inefficiency analysis of Dutch arable farms: an event-specific data envelopment approach
Theodoros Skevas () and
Teresa Serra
Additional contact information
Theodoros Skevas: University of Missouri
Journal of Productivity Analysis, 2016, vol. 46, issue 2, No 3, 139-153
Abstract:
Abstract This article provides estimates of farm technical and environmental inefficiency that recognize the effect of pest pressure on farmers’ production environment. This effect is modeled through the use of an event-specific production technology, which is empirically implemented using Data Envelopment Analysis (DEA). A regional biodiversity variable and two variables reflecting impacts of pesticides on farmland biodiversity are used to partition the data into high and low pest infestation events. The DEA representation is applied to data from Dutch arable farms. Results show that the degree of inefficiency overstatement from a model that ignores the event-specific nature of the production technology increases with pest infestation. Mean environmental inefficiency of the sample farms is low, implying that these farms are, on average, minimizing their impacts on farmland biodiversity. Environmental inefficiency provides an indicator of farm-level environmental sustainability that could help towards a more effective distribution of farm-support payments and make agriculture more environmentally sound.
Keywords: Data envelopment analysis; Event-specific model; Efficiency; Production uncertainty; Pest pressure (search for similar items in EconPapers)
JEL-codes: C61 D22 Q12 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://link.springer.com/10.1007/s11123-016-0476-0 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:jproda:v:46:y:2016:i:2:d:10.1007_s11123-016-0476-0
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2
DOI: 10.1007/s11123-016-0476-0
Access Statistics for this article
Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski
More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().