The agricultural sector ensures food security and is a major source of employment, income, and economic activity in rural areas. The Food and Agriculture Organization of the United Nations (FAO) considers that family farms are the key to a sustainable future in Europe and Central Asia. In Romania, small farms represent the pillar on which Romanian society has been developed. Although the trend has been a reduction in the number of small farms and an increase in the number of large farms, the Government of Romania understands the importance of small farms and therefore supports them through policies involving direct payments, rural development instruments, special initiatives, and loans and outstanding obligations, among others, which focus on increasing their economic performance. The aim of our research was to determine the relationship between farmers’ motivation, their job satisfaction, and the farm economic performance in the case of small Romanian farms. The research sample consisted of 900 small farms (utilized agricultural area (UAA): under 20 ha; standard output (SO): under EUR 15,000). The data obtained after applying the questionnaires were analyzed using SPSS 20.0 and Amos 24.0. For the exploratory factor analysis, values of Bartlett’s test of sphericity, the Kaiser–Meyer–Olkin test, and Cronbach’s alpha coefficient were calculated for each dimension of the proposed model. The hypothesis that motivation, job satisfaction, and farm economic performance directly and positively influence each other was confirmed. An important finding was that the correlation coefficient between farmers’ motivation and farm economic performance was ρ = 0.78, while that for the relation between farmers’ job satisfaction and farm economic performance was ρ = 0.53, which was similar to the correlation coefficient calculated for the relationship between farmers’ motivation and farmers’ job satisfaction. This result allows us to conclude that the influence of farmers’ motivation factors on farm economic performance is stronger than the influence of job satisfaction in the case of Romanian farmers on small farms. This might explain why, although work in agriculture is considered to be worse than an office job and the people that work in agriculture are sometimes stigmatized and receive lower incomes, there are still very strong motivators for Romanian farmers to continue their work in agriculture. This is proven by the fact that Romania has the highest number of small farms in Europe, and this number is not decreasing.

Tourism, like other areas of the economy, is extremely sensitive to market trends. Being under the influence of various factors, the tourist phenomenon is influenced by them in a positive or negative sense. This paper analyzes the influence of the most recent crises - economic-financial, health or otherwise, on tourism activity in Romania and Bulgaria. This study is an analysis of the evolution of the tourism in Romania and Bulgaria in 2008-2020 under the impact of the economic and financial crisis of 2008-2010 and, respectively, the health crisis from which it started in 2020. More specifically, three relevant tourism indicators were analyzed, namely: tourist arrivals in accommodation units, the number of overnight stays registered in tourist accommodation units and the occupancy rate of bed-places and bedrooms in hotels and similar accommodation structures. The obtained results highlight the differences between the evolutionary trends of the tourism industry, in the selected period, within the two states. It also highlights the sensitivity of tourism as a phenomenon to destabilizing factors, and the impact of the destabilizing factors on tourism industry.

The aim of this study was to identify trends in industrial tourism literature in bibliometric terms by analyzing scientific studies carried out in recent decades. According to research findings, were observed that experimental researches on industrial tourism do not hold an important place in the Romanian specialized literature and other international publications. This paper conducts a bibliometric overview of the industrial tourism research on the Web of Science (WOS) platform and it identifies the most frequently used terms with regard to industrial tourism, by means of the VOSviewer software tool.