| Titles |
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English :
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Study of Some Variables Affecting the Environmental Knowledge of the Agricultural Extension Agents to Reduce the Rural Environmental Pollution in Biella and Seedi Salim Districts Kafr El-Sheikh Governorate
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Arabic :
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دراسة لبعض المتغيرات المؤثرة على المعارف البيئية للمرشدين الزراعيين فى مجال الحد من تلوث البيئة الريفية بمركزى سيدى سالم وبيلا بمحافظة كفر الشيخ
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| Abstract |
The problem of pollution is considered one of the most Important problems because of its harmful affects on man's practices and environmental system. Environmental scientists emphasize the mportance of environmental knowledge to reduce the environmental pollution.
The main objective of this study was to identify the environmental knowledge of extension agents as resource persons in Rural comunities, and to determine the factors related to environmental knowledge.
A well prepared questionnaire was used to collect the data needed, a random sample of 208 agricultural extension agents were selected and interviewed in Biella and Seedi Salem districts, kafr El-Sheikh Governorate.
Simple Correlation and regression (Step-wise) technique used to test the relationship between the independent variables and the environmental knowledge. In addition to, percentages, frequencies, mean and standard deviation, were used to clarily the results and its implications.
The research included five chapters: The first includes the introduction and the research problem, The second deals with the review and literature, while the third explains the methodology, the fourth presents the results and its discussions, and the fifth covers the conclusion and recommendations.
The finding of the study may be summarized as follows:-
-Satisfaction with life in rural community, information Follow-Up of
environmental field, the benefit from knowledge sources, participation in local organizations, environmental participation and general knowledge are positively correlated with total environmental knowledge no relation was found between any of the other independent variables and total environmental knowledge.
-Multiple regression analysis of total environmental knowledge on
the 26 independent variables yielded a multiple correlation
coefficient of 0.508. This means that regression equation explains
obout 25.9% of the variance in total environmental knowledge.
Partial regression coefficients show that seven independent
variables make significant unique contributions to the regression
equation.
-To identify and rank of the influential independent variables in
explaining of variance in total environmental knowledge, astep-
wise multiple regression techniqne was used The step-wise solution yielded a reduced equation containing nine independent variable, theses nine independent variables combined are correlated with total environmental knowledge with a multiple correlation coefficient of 0.476. This indeicates that those independent variables combind explain about 21.9% of the variance in total environmental knowledge those variables are:-Information follow-up of environmental field (7.2%), satisfaction with life in rural community (6.6%), the benefit from information resources (2.9%), Participation in local organizations (1.4%), diversity of knowledge sources (1.1%), family size (1.1 %), total annual income (0.7%), environmental participation (0.6%) and educasional level (0.3%).
-The various dimensions of knowledge used in this study are related
to the independent variables differently. This means that the
relationship between each independent variable and environmental
knowledge is affected by the dimension of envirenmental
knowledge used.
Several recommendation could be stated based on the study
results.
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| Publication year |
1997
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| Availability location |
Agricultural Extension and Rural Development Research Institutes library
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| Availability number |
41
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| Organization Name |
Agricultural Extension & Rural Development Research Institute (AERDRI)
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| Country |
Egypt
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| Publisher |
Name:
Faculty of Agriculture ، Kafr El-Sheikh, Tanta University
Place:
Kafr El-Sheikh ،Egypt
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| Author(s) from ARC |
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| Agris Categories |
Extension
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| Publication Type |
Master Thesis
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