FORMS OF MANAGEMENT IN AGRICULTURE IN UZBEKISTAN: SCIENTIFIC AND THEORETICAL BASIS OF ITS EFFECTIVENESS

Dilorom Tadjibaeva ()
Additional contact information
Dilorom Tadjibaeva: Tashkent Financial Institute

CBU International Conference Proceedings, 2013, vol. 1, issue 0, 50-60

Abstract: During the early years of independence (1990s), agricultural and institutional changes in Uzbekistan were made based on the specific characteristics of our country. During transformation, almost nothing has changed in terms of effectivity in regards to transformation of state farms to collective farms still did not make these farms profitable. Only with the formation of dehkan farms (a form of individual farming) after 2004 did agricultural entities started becoming profitable. How can this be explained? Why are these agricultural forms of management more efficient and coincide with the mentality of our population? In this article, using the neo-institutional theory, we have discussed these questions in an attempt to answer these questions by justifying a theoretical point. This theory shows that major issue property rights and transaction costs play main role in the definition of forms of farms management. Statistical analysis of transaction costs and local specifics resulted in a conclusion that the dehkan farming form has significant advantages.

Keywords: agriculture; farm; farm household; cooperation; dehkan; shirkats; neo-institutional theory (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ojs.journals.cz/index.php/CBUIC/article/view/14/16 (application/pdf)

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:aad:iseicj:v:1:y:2013:i:0:p:50-60

DOI: 10.12955/cbup.v1.14

Access Statistics for this article

More articles in CBU International Conference Proceedings from ISE Research Institute
Bibliographic data for series maintained by Petr Hájek ().