Measures of farm business efficiency.
ABSTRACT Purpose – The aim of this paper is to investigate technical, scale, allocative and economic efficiencies by data envelopment analysis (DEA) and stochastic frontier methods to provide a decision-making tool and managerial implications in the measurement of farm business performance and efficiency. Design/methodology/approach – Technical, scale, allocative and economic efficiencies are analyzed with the Farm Accountancy Data Network (FADN) sample for 13 farm business branches in Slovenia in the period 1994-2003. DEA models are used with an output-orientation, three outputs and four inputs. The non-parametric DEA estimations are compared with a parametric stochastic frontier approach. The cluster analysis is used to identify three different farm business groups according to their performance. Findings – The average technical, scale, allocative and economic efficiencies for the whole FADN sample over the analyzed period are relatively high (around or over 0.90), suggesting that, although the FADN sample contains very different farms, the latter have similar management practices, and are similarly able to make the best use of the existing technology. Five farm branches (crop, dairy, livestock using own feed, fruit, and forestry) are fully efficient with respect to all four analyzed efficiency measures, suggesting that these specializations have the best chance to compete on the European and world markets. Originality/value – Studies of technical, scale, allocative and economic efficiencies are rare for transitional farm businesses, especially in Slovenia. The research contributes to the crucial issue of whether small family farm businesses might be able to compete on international markets, as Slovenian agriculture is characterized by such structures.
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ABSTRACT: Developed software enables registration of all events on the farm, an overview on the entire production process. Based upon obtained data and reports it is possible to take timely management measures. The paper presents projected, developed and implemented software package that assists in pig farm management and enables the increase of economic parameters in swine breeding such as productivity, economical effect and profit. The program was developed and implemented for a large farm with 130000 pigs in all category. The software package is a basic program for production management and decision making.12/2013; 8. DOI:10.1016/j.protcy.2013.11.076
- 12/2011, Degree: PhD Thesis, Supervisor: Bo Öhlmer, Helena Hansson and Dragi Dimitrievski
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ABSTRACT: Purpose – This paper aims to examine the level of customer knowledge (CK) for natural cosmetic products, namely Bulgarian rose products, in three European countries – Bulgaria, Montenegro and Italy – and to propose appropriate solutions for its management. Design/methodology/approach – The research structure is based on a questionnaire and represents a part of the general investigation about the nature of the Bulgarian rose products. The study includes the responses to priority questions on customers' knowledge about these products. Feedback is received from 236 respondents in 450 distributed inquiries for the whole investigation. Findings – The results of the research indicate that the role of the customers in the cognitive process of knowledge accumulation for the specific and rare aromatic rose products is captive, based on a new learning for the nature of the product and on the application of integrated marketing ideas for product development and promotion. Practical implications – This paper gives suggestions for the customers' preferences of organizing communication systems by the use of integrated media mix of TV, internet and journals on the unique natural cosmetic products in Bulgaria. The empirical results show the opportunity to organize a collected database for healthy products as Bulgarian rose products. Originality/value – The study of CK in the natural cosmetics industry is structured on the basis of logit regression model, which targets to analyze the increase of the chance for effective knowledge transfer with customers, with the recognition of motivation for purchasing natural Bulgarian rose products and the exchange of high-grade information with customers about this product.Industrial Management & Data Systems 10/2009; 109:1155-1165. DOI:10.1108/02635570911002243 · 1.35 Impact Factor