Role of Knowledge Systems to Achieve Sustainable Agricultural Development in the Republic of Yemen | ||
| Alexandria Science Exchange Journal | ||
| Article 39, Volume 42, JANUARY- MARCH - Serial Number 1, January 2021, Pages 495-517 PDF (481.41 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/asejaiqjsae.2021.157574 | ||
| Authors | ||
| Abu Zaid Mohamed M. EL-Habbal* ; Gaber Ahmed B. Shihata* ; Abdulwahab Noman Ghaleb Hazbar* | ||
| Department of Agricultural Economics - Faculty of Agriculture (Saba Pasha) - Alexandria University | ||
| Abstract | ||
| The main objective of this study was to identify the role of knowledge systems in achieving sustainable agricultural development in the Republic of Yemen (a case study of Dhamar Governorate. The difination of agricultural knowledge systems, by this study, is: agricultural extension, agricultural research, and agricultural education. This goal can be achieved by achieving the following sub-goals: Determining the directions of respondents regarding the relationships and bonding mechanisms that can be done between all agricultural systems in the future. Determining the level of respondents' participation in the activities that strengthen and activate the relationship and interconnectedness between them. Knowing the level of the respondents' role in achieving sustainable agricultural development in the study area. Study the nature of the correlation between each of the studied personal, social and economic characteristics of the respondents as independent variables, and the level of respondents' participation in activities that achieve the relationship and interconnectedness between them as a dependent variable. Identify the most important problems that hinder the achievement of sustainable agricultural development for each of the studied systems from the viewpoint of the respondents, and what are the proposed solutions to overcome such problems. To carry out the questionnaire; The researcher has relied on the personal interview in order to complete the research data, and because of the nature and problem of the study and its objectives, the sample of farmers in Dhamar Governorate was identified as 801 farmers, whose names were recorded in the records of the Dhamar Agricultural Cooperative Society, 100 farmers were chosen from them using the simple random sample method, where they represent 12% of the total number. Then an intentional sample was chosen from the other respondents represented by a sample of all agricultural extension workers - Bachelor's - in Dhamar Governorate, which numbered 53 extension workers, workers in the public administration in the governorate and extension centers in the directorates and villages of the governorate, and the sample of researchers at the Agricultural Research Authority and its branches in the governorate, which are 46 researchers, then, the sample of the faculty members of the Faculty of Agriculture in all disciplines, whose number is 31, and thus the whole sample 230 is researched. The analytical statistical methods used were the arithmetic mean, standard deviation, percentages, frequency tables, and simple correlation coefficient. The most important results were as follows: That 55% of the surveyed farmers, 56.6% of agricultural extension workers, 58.7% of agricultural researchers, and 54.8% of the faculty members the respondents had high attitudes towards the relationship and linkage mechanisms that could take place in the future between agricultural knowledge systems. . And that 50.9% of the agricultural extension workers surveyed, and 60.9% of the researched agricultural researchers participate in agricultural activities that would work to strengthen and activate the relationship and strengthen the links between agricultural knowledge systems. And that 53% of the surveyed farmers, and 66.1% Of the agricultural extension workers surveyed, 65.2% of the researchers surveyed, and 74.2% of the faculty members whose role was high in achieving sustainable agricultural development in the study area. And that one of the most important problems and obstacles to agricultural knowledge systems in the study area was Weak financial and financial capabilities | ||
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