Abstract

Background and Purpose: With the spread of the Corona epidemic, the livelihood of human settlements underwent significant changes, and as a result, the villages have not been spared from the negative consequences of this phenomenon. With the continuation of this emerging problem, the economy of the village, especially their employment, has faced stagnation. Therefore, the current research aimed to investigate the factors affecting the sustainable employment of the villagers, considering the conditions caused by this disease.
Methodology: The current research is a descriptive-survey research method in terms of its purpose, application, and type. The nature of the data is quantitative and qualitative. The methods of collecting data and information are library, document, and survey. The data analysis is based on Dmetal techniques, including mutual analysis of influential and influential factors. The DEMATEL method was first presented by two researchers named Fontella and Gabos in 1976. This technique is based on pairwise comparisons and decision-making tools based on graph theory. This method is possible. It confirms the relationships between the variables or limits the relationships in a mutually systematic and developmental process between the criteria, the level of influence. And specifies their importance in the form of a numerical score. The most important indicator of the DEMATEL method is multi-criteria decision-making and performance. It is in creating relationships and structure between factors. This art is in addition to changing cause -and -effect relationships. And disabled to a structural visual model, can identify the internal relationships between the factors and make them understandable.
Findings and Discussion: Among the factors affecting the stability of the employment of the studied villages in the post-Covid period, in the first degree is the infrastructural and institutional dimension (f2) and in the second degree is the environmental dimension (f1) with weight coefficients of 0.19 and 13, respectively. As influencing factors and economic factor (f3) were identified as the most effective criteria. Based on this, infrastructural-institutional and sometimes environmental factors were identified and specified as the cause factors and the economic factors under the name of the effectivefactors. Some of the structural and institutional factors that have led to employment instability in the post-Covid period include unequal access to medical and health services; Inequality in benefiting from welfare opportunities, inappropriateness of access to various agricultural institutions, lack of agricultural products transformation industries, providing Permits for the construction of workshops for rural industries, inadequate hospitality, residential and sanitary facilities for tourists, low access to services, poor condition of roads and Rural roads, the weakness of telephone communication networks in rural areas, and the weakness of implementation of development programs in the region. Therefore, it can be concluded that in the post-Covid period, villagers, as the most vulnerable groups against economic changes, need more support from the national and local governments.
Conclusion: The current research showed that the effectiveness of economic and social factors in reducing rural employment is very important in the Post-Covid era. For more appropriate management and development of employment in rural communities, especially the rural community of Lorestan, it is necessary to adopt appropriate economic solutions to support the agricultural sector and jobs related to villages. Also, it is necessary to manage these factors with cooperation and coordination between the government, organizations and the local community to minimize the reduction of rural employment in this period. In addition, it is necessary to pay a lot of attention to the social effects of these economic changes in villages and rural communities and take appropriate measures to preserve the identity and culture of villages.