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Expenditure and financing aspects in the healthcare system in general, and in cancer care in particular, are subjects of increasing concern to the medical community. Nowadays, it is imperative for the healthcare system to respond to the challenge of universal access to quality healthcare, by measuring the financial resources within the healthcare sector. The purpose of this review is to highlight the major gaps in the healthcare expenditures for all types of care, as well as on cancer and anti-cancer drugs across 28 European Union member states. The indicators taken into account are divided into two major groups: (1) healthcare expenditures for all types of care, and (2) healthcare expenditures on cancer and anti-cancer drugs. The programs used for our analysis are SPSS Statistics V20.0 (IBM Corporation, Armonk, NY, USA) and Stat World Explorer. The overall picture confirms that there are considerable disparities between the 28 countries in relation to their expenditures on health. The trend in public expenditures for all types of care, compared to the share of healthcare expenditures as a percentage of the GDP, shows the increase of health expenses between 2010 and 2014, but a lower rise compared to the total GDP increase. Healthcare expenditure on cancer (%THE) is rather low, despite the high cost associated with anti-cancer drugs. New treatments and drugs development will be increasingly difficult to achieve if the share devoted to cancer does not increase, and the lack of funds may act as a barrier in receiving high-quality care.

The evolution of the Western world has drawn on theoretical structures of classical and neoclassical liberalism for its explanatory support and sources of inspiration for centuries. Against this ideological background, institutionalists aim at showing that growth is a process of transformation, a double change: an economic and an institutional one. In this analysis, our purpose is to highlight the importance of informal institutional arrangements and their quality in explaining the disparities of revenues and developments between countries. In our approach, we will consider several indicators meant to highlight various aspects of research. The approach proposed is a transversal-comparative one and static methods pertain to uni- and multivariate analysis. The results obtained suggest the existence of major differences within the Central and East European area as far as informal institutions are concerned; moreover, the analysis conducted confirms the existence of a significant relation between the level of development and the structure of informal arrangements such as: trust level, bribe culture and corruption control.

Abstract Purpose: The purpose of this research is to analyze whether self-efficacy and entrepreneurial characteristics (e.g., risk-taking, planning, opportunity recognition, persistence, sociability, innovation, and leadership) differ in the explanation of entrepreneurial intention models, having entrepreneurial education as a moderator of relationships. Originality/value: This paper offers an in-depth perspective on which behavioral characteristics fit best into entrepreneurial intention models and helps to fill a theoretical and practical gap on the need for university education to increase its positive impact on human capital, particularly on students' professional skills, demonstrating which characteristics are most impacted by entrepreneurial education. Design/methodology/approach: Quantitative methodology was employed, and data were analyzed with structural equation modeling. The sample consisted of 1,004 Brazilian university students from public and private universities. The research was conducted in a non-probabilistic way and with a convenience sample. In order to address the research hypothesis and objectives, all constructs were adapted from relevant literature on entrepreneurship. Findings: The results indicate it seems more appropriate to use a set of entrepreneurial characteristics when investigating an entrepreneurial intention model if you are looking for a higher explanatory factor and a more robust model; also, entrepreneurial characteristics represent a more sensitive model, which brings accurate assessments on factors that affect entrepreneurial intention. With these findings, entrepreneurial education can be planned to shape certain characteristics through actions in the university environment, making it possible to measure the impact of education on entrepreneurial intention.