EL-Kholy,, H., EL-Zarka, Z., Zayed, M. (2003). SOCIO- ECONOMIC FACTORS ASSOCIATED WITH MECHANIZATION OF FARM OPERATIONS I AMONG FARMERS IN SELECTED VILLAGES OF DAMANHOUR COUNTY AT EL.BEHEIRA GOVERNORATE.. Journal of Agricultural Economics and Social Sciences, 28(8), 6075-6101. doi: 10.21608/jaess.2003.245045
H. Z. EL-Kholy,; Z. M. EL-Zarka; M. Zayed. "SOCIO- ECONOMIC FACTORS ASSOCIATED WITH MECHANIZATION OF FARM OPERATIONS I AMONG FARMERS IN SELECTED VILLAGES OF DAMANHOUR COUNTY AT EL.BEHEIRA GOVERNORATE.". Journal of Agricultural Economics and Social Sciences, 28, 8, 2003, 6075-6101. doi: 10.21608/jaess.2003.245045
EL-Kholy,, H., EL-Zarka, Z., Zayed, M. (2003). 'SOCIO- ECONOMIC FACTORS ASSOCIATED WITH MECHANIZATION OF FARM OPERATIONS I AMONG FARMERS IN SELECTED VILLAGES OF DAMANHOUR COUNTY AT EL.BEHEIRA GOVERNORATE.', Journal of Agricultural Economics and Social Sciences, 28(8), pp. 6075-6101. doi: 10.21608/jaess.2003.245045
EL-Kholy,, H., EL-Zarka, Z., Zayed, M. SOCIO- ECONOMIC FACTORS ASSOCIATED WITH MECHANIZATION OF FARM OPERATIONS I AMONG FARMERS IN SELECTED VILLAGES OF DAMANHOUR COUNTY AT EL.BEHEIRA GOVERNORATE.. Journal of Agricultural Economics and Social Sciences, 2003; 28(8): 6075-6101. doi: 10.21608/jaess.2003.245045
SOCIO- ECONOMIC FACTORS ASSOCIATED WITH MECHANIZATION OF FARM OPERATIONS I AMONG FARMERS IN SELECTED VILLAGES OF DAMANHOUR COUNTY AT EL.BEHEIRA GOVERNORATE.
1Agricultural Extension faculty of agrlculturel, Alexandrta University
2Faculty of Agrlculturel, Damanhour, Alexandria, University
3Agricultural Engineer.
Abstract
The main objective of this study was two-raid: first to dete mine socio - economic and communication factors associated with the degrie of farm - mechanization among farm· operators in selected village cOrl]munities of Darnanhour county in Seheira Governorate ; second, based on the implications of the stUdy set up essentials to be considered for more effective extension work in farm mechanization. The specific objectives f this study included the following:
1· To determine the interviewees level of farm mechanization.
2· To identify socio-econornlc and communication characteristics of the interviewed farm-operators and to examine the relationship be een these characteristics, and their level of farm machanization.
3- To determine the interviewees characteristics responsible fa explaining variance in their levels of farm mechanization.
4· To set up a general framework for future extension work in farm mechanization.
The data were obtained by using a specially designed and pretested questionnaire through Interviewing a random sample of 220 farm- operators in the selected four main village communities representing Damanhour county. The main statistical methods used used for data analysis included: frequencies , percentages. means. standard deviation. simple correlation coefficient and multiple regression.
The research is comprised of four chapters: The first explains the nature and dimension of the research problem ; the second is a review of related research and literature ; the third indicates the methodology and research procedures : the fourth presents the results and discussion the main results center around: determining the interviewees levels of farm mechanization; identifying the intreviewees soico-economic and communication characteristics and its relationship with their level of farm mechanization; and finally prospects for more effective farm mechanization extension. Multiple Regression Analysis;
The First Model:
Muttiple regression analysis between the interviewees characteristics (variables) and their level of farm mechanization revealed - after eliminating land holding variable due to linearity relationship with family income and the other non-significant correlated independent variables with the dependent variable that only six variables could explain 85.3% of variance in the interviewees level of farm mechanization. These six variables included :
Annual family income, actual use of farm machinery. level of living. conditions of farm roads. family heads education score (farm operator and wife education) , knowledge level of farm machinery.
(F value = 205.991 significant at 0.01 level) .
The second Model:
The results of multiple correlation and regression analysis between the interviewees characteristics (13 variables ) and their level of farm mechanization showed that only four independent variables could explain 90.73% in variance of the interviewees level of farm mechanization. These variables included after eliminating annual family income and the other non - significantly correlated variables with the dependent variable: land holding, farm machinery knowledge, level of living. farm machinery ownership. Prospects of Farm Mechanization Extension
The prospects of more effective extension work for better and wider use of farm machinery are mainly based on the implication of this study which include abstracts and syntheses of reviewed llteraturo, relevant former studies and the reached research findings. Apparently, some progress has been made along the last three decades for employing modern farm machinery and equipments. this might be attributed partly to the efforts of respective governmental and private sectors and to the increasing need for replacing farm labor already transferred to other non-agricultural sectors or abroad. However. there are some obstacles that set limits to wider and efficient use of farm machinery either because lacking efforts of the concerned governmental institutions and services or unfavorable socio- economic conditions of farm families. The research finding showed clearly that, according to the estimated level or degree of farm mechanization that farm • operators who are considered having a relatively high level of farm mechanization form only less then 25 percent. Important variables strongly correlated with the achieved level of farm mechanization included: size of land holding. family annual income. actual use of farm machinery knowledge, level of living. farm machinery ownership, farmers and their wives educational level.