The impacts of regulated notions of quality on farm efficiency: A DEA application

2005 ◽  
Vol 161 (2) ◽  
pp. 416-431 ◽  
Author(s):  
Efthalia Dimara ◽  
Christos J. Pantzios ◽  
Dimitris Skuras ◽  
Kostas Tsekouras
Keyword(s):  
2021 ◽  
Vol 53 (4) ◽  
pp. 357-367
Author(s):  
Adedeji OGUNWUSI ◽  
Ivie OLAGHERE ◽  
Olubunmi OMOTESHO

The essence of this study was to examine the land ownership pattern in Osun State, Nigeria, with a view to assessing its effect on the technical efficiency of the farms. Precisely, the farm efficiency level was estimated; factors that determine farm efficiency were identified, and the impact of land ownership on-farm efficiency was also assessed. A three-stage random sampling was used to select 144 respondents. Data collected using a pretested interview schedule was subjected to descriptive statistics, stochastic production frontier function, and average treatment effect. The results show that land ownership by absolute interest accounted for about 65% of the farmers. The mean technical efficiency level of the farms was 47%. Farm size and labour are necessary factors to be increased to have increased output. The non-access to credit and land ownership by absolute interest constituted to technical inefficiency of the farms. Similarly, ownership of farmland by absolute interest reduced efficiency by 24% among sampled farmers and 25.5% among owners of farmland. The study, therefore, suggested that farm size should be increased, and credit facilities are made available to farmers to facilitate the acquisition of necessary inputs to increase output given the existing technology. This can be by way of making accessible to food crop farmers, lands belonging to the government, which are currently not in use.


2019 ◽  
Author(s):  
Amelia A.A. Fox

Precision agriculture is meant to improve on-farm efficiency in hopes of ultimately increasing profitability while also protecting the environment. However, this difficult process almost always includes the proper management and interpretation of data. Therefore, it is imperative that those individuals involved in making such decisions are educated on these processes. In a data-driven world, this textbook is a great resource for those wanting to learn how to utilize their data in hopes of making better informed on-farm decisions.


2015 ◽  
Vol 7 (10) ◽  
Author(s):  
Edward Martey ◽  
Wilson Dogbe ◽  
Prince M. Etwire ◽  
Alexander N. Wiredu
Keyword(s):  

2015 ◽  
Vol 58 (2) ◽  
pp. 287-292 ◽  
Author(s):  
F. Karakus ◽  
A. Ö. Demir ◽  
S. Akkol ◽  
A. Düzgün ◽  
M. Karakus

Abstract. The objective of this study was to evaluate the effectiveness of electronic and visual ear tags in animal traceability, and to investigate the effect of placement site on ear-tag retention in Akkaraman lambs under rural conditions. A total of 380 lambs were identified with electronic and visual ear tags. Electronic and visual ear tags displayed 98.9 and 98.7 % readability at the end of 7 months, and 98.0 and 98.0 % readability at the end of the first year after tagging, respectively. Regarding the placement site, it was observed that there was more loss in ear tags placed on the mid-point part of the ear than the first-quarter part from the head side, but the difference was not statistically significant (P > 0.05). Breakages and electronic failures were not recorded during this study. In conclusion, electronic and visual ear tags demonstrated similar on-farm efficiency for the identification of Akkaraman lambs and fulfilled the minimum efficiency of 98 % required by the International Committee for Animal Recording (ICAR) for an official animal identification device at the end of the first year after tagging. Based on the findings of the study, placement of the ear tag in a cranial position and near the base of the ear would be advised.


2011 ◽  
Vol 39 (02) ◽  
pp. 95-100
Author(s):  
J. C. van Veersen ◽  
O. Sampimon ◽  
R. G. Olde Riekerink ◽  
T. J. G. Lam

SummaryIn this article an on-farm monitoring approach on udder health is presented. Monitoring of udder health consists of regular collection and analysis of data and of the regular evaluation of management practices. The ultimate goal is to manage critical control points in udder health management, such as hygiene, body condition, teat ends and treatments, in such a way that results (udder health parameters) are always optimal. Mastitis, however, is a multifactorial disease, and in real life it is not possible to fully prevent all mastitis problems. Therefore udder health data are also monitored with the goal to pick up deviations before they lead to (clinical) problems. By quantifying udder health data and management, a farm is approached as a business, with much attention for efficiency, thought over processes, clear agreements and goals, and including evaluation of processes and results. The whole approach starts with setting SMART (Specific, Measurable, Acceptable, Realistic, Time-bound) goals, followed by an action plan to realize these goals.


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