This study examines the initial impact of a broadly participatory planning process in the Czech Republic during 2016–2017, aimed at both reducing inpatient care and expanding community mental health systems, on policy and programmatic decision making. A central focus of the study involves the trade-offs between and efforts to integrate shared decision making with evidence-based planning methods within the context of a national psychiatric reform strategy, particularly one involving a former Soviet bloc state.
Given the uniqueness of the Czech experience, an exploratory case study methodology is used, one involving ten interviews with key informants and examination of a wide variety of documents. Results include the development of broad new decision and oversight structures, and the initial implementation of community mental health services. The nation faces some of the same trade-offs found elsewhere, such as in the United States, between an inclusive participatory process, and one that systematically incorporates empirical rational and evidence and best practices within bounded parameters.
Implications for new psychiatric deinstitutionalization initiatives are identified, including development of a national mental health authority, a professional workforce, new funding strategies, multi-level service coordination, mechanisms to assure transparency, among others.
This article contributes to the consolidation and synthesis of scholarship on collaborative governance by expanding our knowledge of how the term is used in the academic literature and policy documents in a range of European countries. It adds value to the existing reviews of the field by conducting a systematic literature review on a corpus of over 700 article abstracts and a traditional literature review identifying five key analytical dimensions. The article also provides an exploratory analysis of grey literature hitherto outside the purview of researchers and considers the linguistic and cultural connotations that alter the meaning of the term when translated into new contexts in ten EU/EFTA countries. Findings indicate heterogeneity and fuzziness in the way the concept is used. The article argues that explicit positions with respect to five main analytical dimensions and taking into account the national connotations that the term carries across political systems would inject more clarity into the academic discourse. This, in turn, will help policymakers to make informed use of the concept, especially in multi-national policy-making arenas.
An analysis of the investments intervention effect from operational programmes in the programming period 2007–2013 upon the R&D infrastructure of the Czech public universities is presented. The analysis was based upon publicly available data, universities´ annual economic reports, and evaluations and analyses. A few indicators have been selected to quantify the effect of significant extension and upgrade of the universities´ R&D infrastructure where investments from structural funds amounted to 36 % of the universities´ total R&D expenditure. The effect of the financial intervention upon the performance in basic research was evaluated firstly by making use of the increase of publications number in impacted journals in the time windows 2009–2011 and 2015–2017, i.e. before the effective launch of the interventions, and after their termination. The share of foreign public funds (structural funds excluded) in the total R&D expenditure was the second indicator used. The effect upon the applied research performance was evaluated by comparing the difference of the number of patents and by the change in the share of private sources in the R&D expenditure. The analyses show an increase of the number of publications whereas the change in the share of the foreign public funds in the total R&D expenditure did not induce any positive trend. In parallel with the number of publications, the number of patents increased, too. The change in the share of the private sources in the R&D expenditure was unequivocally associated with a positive trend, especially in the out-of-Prague technical universities. For a more robust evaluation of the effect of the interventions financed by the structural funds an analogous analysis should be carried out after a longer time than the mere three years after the termination of the interventions.
This paper aims to find out how the research consortia supported in the Competence Centres programme were created, what motives and factors decide on the involvement of various actors in these consortia. It is based on a combination of a questionnaire survey, structured interviews and analysis of quantitative data from the Research, Development and Innovation Information System. The most frequent motives of consortium members for involvement in competence centres were the development of their own research activities and access to knowledge / facilities shared by partners. The main beneficiary, or a narrow group of beneficiaries forming the core of the consortium, played a decisive role in shaping the consortium. The main factor for the involvement of individual members was the combination of previous experiences with partners and their competences. Furthermore, participating enterprises have developed and extensive research and development activities, do not compete, and their activities are complementary or linked. The differences in motives and factors for each type of partner can indicate the hierarchical arrangement of consortium members.
The aim of this contribution is to evaluate the cooperation of the European countries in projects related to the AI in the 7th Framework Programme (FP7) and in the current Horizon 2020 Programme. The analysis is based on the information obtained from European Commission database eCORDA (External COmmon Research DAtawarehouse). Dynamic scientometric maps were constructed to describe in more detail the collaboration of European subjects in the EC funded AI research. Within the FP7, 1223 projects in the AI field received roughly 2,8 billion €. In the current H2020 programme the EC has already provided 2,1 billion € for 1081 projects in AI. In the FP7, higher education institutions dominated in both the number of awarded project and the received financial support. In the H2020 programme, a profound shift favouring business enterprise sector occurred. Approximately one third of AI projects in the FP7 was in the thematic area Information and Communication Technologies. In the H2020 programme the EC extended the support further to other thematic areas including global societal challenges especially in the field of transport and security. The extent of the involvement of the member countries varies extensively. The countries above average participating in the AI projects are Germany, Italy, Austria, Spain, Portugal, and Slovenia. The Czech Republic falls in the group of less participating countries. The Czech Republic also exhibits a smaller increase of the participation between RP7 and H2020. Universities involved in approximately two thirds of AI project have dominated in the Czech participation in the FP7. In the H2020 program their share in the AI project decreased by approximately 10 percent points. On the other side, their share of financial support was conserved. The most participating universities were the Czech Technical University Prague (24 projects, and 30% share of the EC contribution for the Czech AI projects) and the Brno University of Technology (14 projects, and 12,4% financial share). In the business enterprise sector Honeywell International s. r. o. attained the highest participation. The Czech subjects collaborate most frequently with German, British, Italian and French research teams.
The results of happiness analysis are presented in the form of a World Happiness Report that covers 156 countries and 17 different indicators. In the article model-based clustering ensemble is built to determine what selected European countries have similar patterns of happiness. The results are analyzed using multidimensional scaling and a decision tree to find out what factors determine cluster memberships. In the empirical part, three clusters were detected The first contains countries: Austria, Denmark, Finland, Germany, Ireland, Luxembourg, the Netherlands, Norway, Sweden, Switzerland and the United Kingdom. They have the highest values for all the variables, except the negative affect. The second cluster contains seven countries: Bulgaria, Estonia, Hungary, Lithuania, Poland, Romania and Slovakia. This cluster is also the most homogeneous one. The third cluster contains eight countries: Cyprus, the Czech Republic, France, Greece, Italy, Portugal, Slovenia and Spain.
The 1992 constitution of Ghana and other national legislative instruments guarantee and promote free compulsory universal basic education for all Ghanaian children irrespective of their background. This has been the practice for many years. Even though these policies have chalked some successes, especially regarding school attendance and gender parity, there still remains some level of uncertainty as to whether all Ghanaian children, especially those with disabilities, benefit from these policies. Using secondary information available, the paper provides an overview of the existing legislative instruments that seek to promote the adoption of inclusive education policy in Ghana. Evidence from the literature reveals that there are restrictions within the current policy provisions which make inclusive education not possible for children living with disabilities. The paper concludes and recommends that there should be some modifications or new developments of inclusive education to enable the system to accommodate the diverse educational needs of children with disabilities.
Ownership of the media was vested with the government, especially in the areas of issuance of licenses and renewal of such licenses, among others, through the National Broadcasting Commission empowered to carry out such salient responsibility. The empowerment of NBC through the enabling Decree in 1992 saw the emergence of private broadcast stations in Nigeria. But years after the deregulation of the broadcast media in Nigeria, the private broadcast stations and ownership are still bedeviled with some challenges, which If not well addressed, will leave them at cross roads; but if addressed properly, the sky would be too small to be their limit. To realize these, the study examined the challenges and prospects of private broadcast media using Africa Independent Television (AIT) and Rhythm 93.7fm as case studies. The survey method was used to expose the challenges faced by these stations and their prospects. In course of the study, the following findings, interalia, were discovered: that the private broadcast outfits are faced with challenges arising from poor facilities, government regulation and legislations, expensive equipment, welfare and debts. However, the study discovered that progress could be made if enabling environment would be created for them to strive.
Subject and purpose of work: The purpose of the study is to determine the variables determining the level of synthetic measure of economic efficiency in listed companies of the industry sector as part of their enterprise life cycle.
Materials and methods: The article uses data from annual unitary financial statements of industrial enterprises according to the classification of the Warsaw Stock Exchange and data describing the macroeconomic situation of the state economy. The research period covered the years 1999-2012. In order to examine which factors determine the level of economic efficiency at each stage of the life cycle of enterprises, estimation of econometric models was carried out.
Results: In the models obtained for companies in the growth and maturity stage, statistically significant determinants were obtained only in the field of internal factors. In the models estimated for companies in the stages of launch, shake-out and decline, statistically significant conditions were identified, both in terms of external factors and in the area of internal factors.
Conclusions: A comprehensive assessment of the conditions for the level of economic efficiency of enterprises should take into account both factors dependent on the enterprise (microeconomic) as well as those determined by the environment (macroeconomic) and beyond its control. It is therefore necessary for managers of enterprises to have extensive and up-to-date knowledge of factors and conditions that are significant in shaping the level of economic efficiency.