Analyzing greenhouse firm performance across different marketing channels
Lusine H. Aramyan,
Christien J.M. Ondersteijn,
Alfons Oude Lansink (),
Olaf van Kooten and
Jo H.M. Wijnands
Additional contact information
Lusine H. Aramyan: Social Sciences Group, Business Economics, Wageningen University, Wageningen, The Netherlands, Postal: Social Sciences Group, Business Economics, Wageningen University, Wageningen, The Netherlands
Christien J.M. Ondersteijn: Alfa-Accountants en Adviseurs, Gorinchem, The Netherlands, Postal: Alfa-Accountants en Adviseurs, Gorinchem, The Netherlands
Olaf van Kooten: Horticultural Production Chains Group, Plant Sciences, Wageningen University, Wageningen, The Netherlands, Postal: Horticultural Production Chains Group, Plant Sciences, Wageningen University, Wageningen, The Netherlands
Jo H.M. Wijnands: Agricultural Economics Research Institute (LEI), The Hague, The Netherlands, Postal: Agricultural Economics Research Institute (LEI), The Hague, The Netherlands
Agribusiness, 2006, vol. 22, issue 2, 267-280
Abstract:
In recent years, supply chain performance measures have been in the spotlight of many authors. Many performance measures have been used. In this paper, efficiency was measured as an indicator of performance in the vegetable supply chain. The study consisted of two stages. In the first, data envelopment analysis (DEA) evaluated technical and scale efficiency of the Dutch vegetable sector relative to the type of final distribution (mixed marketing channels versus traditional auctions). In the second stage, a truncated regression model (TRM) was applied to explain grower efficiency from a managerial point of view. The results of the first stage showed that growers who sell their products through auctions are less efficient. The second stage revealed that variables such as firm size, age, ownership structure, and distribution channel strategy significantly contribute to the explanation of technical efficiency of the growers, while the variables firm location, firm size, and firm age affect their scale. [EconLit citations: Q130, L 100, and D440] © 2006 Wiley Periodicals, Inc. Agribusiness 22: 267-280, 2006.
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://hdl.handle.net/10.1002/agr.20084 Link to full text; subscription required (text/html)
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:wly:agribz:v:22:y:2006:i:2:p:267-280
DOI: 10.1002/agr.20084
Access Statistics for this article
Agribusiness is currently edited by Ronald W. Cotterill
More articles in Agribusiness from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().