تقدير كفاءة أداء العمل البشرى فى بعض أنشطة الإنتاج الحيوانى
[Performance Efficiency Estimation of Human Labor in Some Animal Production Activities]
Performance efficiency of human labor input is considered one of the most important factors affecting enhancement of the production. Evaluation of performance shows the level of labor performance efficiency, to know the strengths and weaknesses in the completion of the various production processes, and involves comparing the actual level of performance with respect to target or desired level, under a set of standards and specifications determine performance of the worker. There are many variables play an important role in the efficient and effective performance of the worker as a human factors of production, impacting directly on the deviation of the operating current level of employment, which achieves economic efficiency. Therefore, the research problem lies in the nature of the determinants of the efficiency of human labor input, in the light of the available skill levels. On the basis of the research problem, the objective of the research represented is to investigate and determine the most important factors affecting the efficiency of labor performance, and thus the possibility of developing a preliminary vision for the classification of agricultural labor according to skill levels required. The study applied limited dummy dependent variables models. Cross section data were collected from Corporation for Animal Wealth. Stratified sample was chosen, and consisted of four activities in the fields: livestock, milking, poultry, and milk processing. Important variables affecting the performance efficiency of workers subjected were estimated via logit, probit, and tobit regressions. The results indicated to that the variables explaining performance efficiency were: incentives, experience, and worker's wage in livestock field. As for workers in milking field were: wage, incentives, and experience, and for workers in poultry field and dairy processing were: incentives, wage and experience. Finally, the study recommended the need for attention to the training of workers and transfer training, which fits the needs of the labor market, and the need to prepare professional classification to access the names and professional qualifications and real skills inside agricultural branches, and therefore can through this classification judging the efficiency of the labor. Need to exchange agricultural wages commensurate with the level of worker productivity and performance, so as to improve the performance of the human labor input in all sectors of the Egyptian agricultural production.
|Date of creation:||Dec 2011|
|Date of revision:||Dec 2011|
|Publication status:||Published in Egyptian Journal of Agricultural Economics 4.21(2011): pp. 1207-1228|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Emad Abd Elmessih Shehata, 2011. "LOGITHETM: Stata module to estimate Logit Multiplicative Heteroscedasticity Regression," Statistical Software Components S457324, Boston College Department of Economics, revised 27 Oct 2011.
- Davidson, Russell & MacKinnon, James G., 1984.
"Convenient specification tests for logit and probit models,"
Journal of Econometrics,
Elsevier, vol. 25(3), pages 241-262, July.
- Russell Davidson & James G. MacKinnon, 1982. "Convenient Specification Tests for Logit and Probit Models," Working Papers 514, Queen's University, Department of Economics.
- Emad Abd Elmessih Shehata, 2011. "TOBITHETM: Stata module to estimate Tobit Multiplicative Heteroscedasticity Regression," Statistical Software Components S457323, Boston College Department of Economics, revised 14 Nov 2011. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:43420. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If references are entirely missing, you can add them using this form.