The objective of the study was to identify the socio-economic impacts
of rural employment in the tourism and agricultural sectors. To achieve this
main objective, the following sub-objectives were to be formulated: To identify
the social impacts of rural employment in the tourism and agriculture sectors
and related variables, Rural and tourism sectors and related variables, identify
the most important problems that limit the role of tourism in rural development
and proposals to solve them from the point of view of the respondents was
selected Fayoum governorate to conduct the total number of inhabitants of the
village of Tunisia working in the tourism and agricultural sectors, according to
the records of (1267) individuals, was randomized. The size of this sample was
estimated using the Krejcie and Morgan equation, ). Similarly, for the
agricultural sector, the sample size was also 276 agricultural workers, and to
obtain the field data needed for the study. Two questionnaires were designed
for rural workers in both tourism and agricultural sectors. A pre- To confirm the
truth of the worst The research data were collected during the period from July
to September 2018. The analysis of the study data used several different
statistical methods and measurements to achieve the objectives of the study and
test their hypotheses. The use of the Chi square test and the use of percentages
in highlighting these relations,. Some descriptive statistical methods such as
frequency distributions, percentages, averages, range and standard deviation
were used in the presentation and description of study variables
The results of the study indicated the following
1-The results of the Kay square test showed a significant correlation at the
probability level of 0.01 or 0.05 among tourism and agriculture workers in
relation to all the social variables of the study: educational level, cultural
openness, geographical openness, level of ambition, Leadership, membership of
organizations , The level of family health care".
2-The results of the Kay square test showed a significant correlation between
the workers in the tourism sector and the farmer in relation to all the economic
variables of the study: average monthly income, ownership of household
appliances, housing status, spending on recreational aspects.
The study ended with a discussion of its main findings and a set of
recommendations that may help increase rural attitudes towards tourism.