EconPapers    
Economics at your fingertips  
 

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 ().

 
Page updated 2025-03-20
Handle: RePEc:wly:agribz:v:22:y:2006:i:2:p:267-280