Adjustment costs and efficiency in Polish agriculture: a dynamic efficiency approach
Supawat Rungsuriyawiboon () and
Heinrich Hockmann ()
Journal of Productivity Analysis, 2015, vol. 44, issue 1, 68 pages
Abstract:
This paper aims to understand the state of adjustment processes and dynamic structure in Polish agriculture. A dynamic cost frontier model using the shadow cost approach is formulated to decompose cost efficiency into allocative and technical efficiencies. The dynamic cost efficiency model is developed into a more general context with a multiple quasi-fixed factor case. The model is empirically implemented using a panel data set of 1,380 Polish farms over the period 2004–2007. Due to regional differences and a wide variety of farm specializations, farms are categorized into two regions and five types of farm production specializations. The estimation results confirm our observation that adjustment was rather sluggish, implying that adjustment costs were considerably high. According to this study, it will take up to 30 years for Polish farmers to reach their optimal level of capital and land input. Allocative and technical efficiency widely differ across regions. Moreover, efficiencies prove rather stable over time and among farm specializations, although the results indicate that the regions with larger farms performed slightly better. Copyright Springer Science+Business Media New York 2015
Keywords: Polish agriculture; Dynamic efficiency; Adjustment cost; Shadow cost approach; D21; D61; Q12 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11123-015-0430-6 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: ADJUSTMENT COSTS AND EFFICIENCY IN POLISH AGRICULTURE: A DYNAMIC EFFICIENCY APPROACH (2012) 
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:44:y:2015:i:1:p:51-68
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2
DOI: 10.1007/s11123-015-0430-6
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 ().