This study was carried out to identify the factor which influences rural women’s income after participation in small-scale agricultural farming, their contribution to the household, as well as their empowerment status. This research was conducted in Jinaigati upazila of Sherpur district in Bangladesh. A total of 80 respondents (women) from this upazilla of Sherpur were selected purposively using simple random sampling. The quantitative data were collected by in depth interviewing of the 80 respondents through personal interview. The quantitative analytical tools used to attain specific objectives included various descriptive statistics, functional analysis, multiple regression co-efficient, used to identify the factors of influencing women’s income through small-scale agricultural farming. Problem Confrontation Index (PCI) used through different problems identified scores. In accordance with the results of the educational level of woman, other sources of income, experience and training, access to credit, decision-making ability have a positive influence on rural women’s income, and these variables were statistically significant. From the Problem Confrontation Index, it was found that lack of capital was the first ranked problem, need-based training the second ranked problem, high interest rate the third ranked problem, insufficient farm size the fourth ranked problem, and lack of quality of seed the fifth ranked problem. Their income from this brought remarkable positive change in their life and they had better control over their decisions and income. Finally, their active economical participation in small-scale farming assists them to overcome prejudice, socio-economic barriers, and highest empowerment attainment in the context of Bangladesh—and, if the government takes proper initiative in terms of gender policy, then rural women’s income and livelihood status will be increased remarkably.
1The aim of this paper is to examine the development of a financial framework for assessing the effectiveness of interventions. The research is based on the evidence from Serbia. In terms of methods applied, we used econometric and scenario analysis. We presented -as individual separate items -the issues such as "who" -Government budget (Ministry, specific program, loan, donor, etc.) , "how much" -the amount spent, "where" (NUTS 2 region), and on "what" (type of initiative). In our model, each of the interventions applied to one of the regional development priorities is linked and evaluated by its effectiveness observing the performance of the group of indicators
The combination of accelerated digitalization and the recent COVID-19 crisis has increased the number of remote workers worldwide to unimaginable proportions. Among the large number of remote workers that execute their projects from home, there is a significant number of permanently self-employed remote workers, usually referred to as freelancers. Despite the importance of this kind of business activity for modern project management society, perceived drivers of freelancing are still unknown. The goal of this paper was to shed some light on the general subjective well-being of freelancing activity and investigate differences concerning gender, age, and education. The study was performed in late 2020 and included 471 freelancers from Serbia, Bosnia and Herzegovina, Macedonia, and Montenegro that participated in an online questionnaire evaluating their subjective well-being while participating in the “gig” economy. Factor analysis was used as a primary statistical method and two major groups were identified: (1) Impact of working from home on a freelancer’s personal life and health and (2) Fulfillment of expectations in the economic and professional sense. Gender was found not to be significant for overall work satisfaction. However, older freelancers proved to be more satisfied with the fulfillment of economic and professional expectations, which correlate with years of professional experience. Another conclusion is that more educated freelancers are generally less satisfied with both groups of drivers - fulfillment of personal life and professional expectations. Understanding how the combination of occupations, technological infrastructure, and demographic characteristics in the region has affected the well-being of freelancers may help policymakers and organization owners, as well as future entrepreneurs, better prepare for this model of work in the future. It also increases the possibility of exploring individual dimensions of wellbeing useful for targeting interventions at the level of each country separately. In line with this, the present study contributes to the existing body of knowledge and the impact of hybrid models of work on the subjective well-being of workers in the “gig” economy.
In this paper we analyze the impact of the quality of human capital on the main economic indicators of South-Eastern Europe countries [SEE] at the NUTS 2 level. The subjects of this research are the human capital indicators of regional competitiveness. The quality of human capital depends largely on the age structure of the population and the quality of education. Those regions, which have the highest percentage of the working-age population and highly educated people, are able to achieve higher productivity and gain a competitive advantage over other regions. As main indicators of the quality of human capital we identified: population; persons aged 25-64 with tertiary education attainment; students in tertiary education and participation of adults aged 25-64 in education and training and human resources in science and technology. As main economic indicators, we identified: regional gross domestic product; employment and income of households. The aim of this paper is to determine whether there is a correlation between the indicators of the quality of human capital and economic indicators. As a main methodology we have used the correlation coefficient which shows interdependence of the analyzed indicators. As part of our analysis, we consider only EU member states that belong to the SEE countries: Slovenia, Croatia, Romania, Bulgaria and Greece. We conclude that in all countries there is a high multiple correlation coefficient between the indicators human resources in science and technology, number of students and employment.
IzvodPovršina visokih šuma hrasta kitnjaka u Republici Srpskoj je 76 900 ha, a površina izdanačkih je 180 700 ha. Udeo visokih hrastovih šuma u ukupnoj površini visokih šuma u Republici Srpkoj je oko 10%, a izdanačkih u ukupnoj površini izdanačkih šuma oko 30%. Pri ocenjivanju kvaliteta drveta, veoma je važno znati kakva veza postoji između širine prstena prirasta i određenih svojstava drveta. Jedno od tih svojstava je sigurno gustina drveta, kao najvažniji indikator kvaliteta. U ovom radu je analizirana gustina drveta četrnaest stabala hrasta kitnjaka iz semenske sastojine na planini Prosari i njena zavisnost od širine prstenova prirasta i širine kasnog drveta. Utvrđeno je da je prosečna širina godova u uzorku 1,62 mm sa variranjem širine od 45,76%. Prosečna vrednost gustine u prosušenom stanju vlažnosti, za sva ispitivana stabla je 0,747 g/cm³, sa prosečnim koeficijentom varijacije od 13,28%. Ispitivanje zavisnosti između gustine i širine prstena prirasta pokazalo je da postoji trend povećanja gustine sa povećanjem širine prstena prirasta i da je ta korelacija značajna.Ključne riječi: gustina drveta, hrast kitnjak, Prosara, širina prstena prirasta ŠIRINE PRSTENOVA PRIRASTA I GUSTINA DRVETA HRASTA KITNJAKA (Quercus petraea (Matt.) Liebl.) NA PROSARI Original scientific paper / Originalni naučni rad
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