This article analyses the Maritime Sector economic grow impact to Lithuania’s economy from a Cluster perspective. The potential competitive Maritime industry Cluster in Lithuania is on interest because Lithuanian Maritime Sector is expanding its connections to the whole European region, going beyond the boundaries of anyone industry sector, is supported by EU Strategic documents, but the steps towards clustering still are tentative and negligible. Assessing the Maritime sector impact on Lithuania's economy, the total economic impact (direct and indirect) was calculated by using the following indicators: number of Employees, Turnover and Value Added at Production Cost (VAPC). The period for the evaluation of the statistical givens trends has been chosen for 5 years, according to Official 2007 – 2011 period statistical givens, provided by Department of Statistics.
Cluster development is one of determinants used in the regional competitiveness that are related to the presence of competitive local suppliers and competitive local industries in the regional economy. The correlation analysis permits to conclude that regions, which are more competitive, have more developed clusters and regions with more developed clusters are more competitive. However, the comparison between competitiveness and cluster development of particular regions reveal that the impact of clusters on competitiveness can differ across regions and countries, thus creating challenges for policy makers. The paper focuses on the evaluation of the clusters’ approach in promoting regional productivity, innovation and economic growth leading to increased competitiveness, yet arguing that the targeted cluster development can foster structural change leading to improved economic performance, as well as welfare.
Innovation and entrepreneurship in regions is one of essential tools, in added value creation in economics and in development in national level. It is very important to encourage creativity, new ways of thinking and continuous process of learning of individuals. There are some different approaches how to measure competitiveness of state economy and competitiveness in regional level. Global Competitiveness Index shows competitiveness of state among other world economies based on the 12 pillars of competitiveness, which is difficult to apply in regional or entrepreneurial level due to lack of data at regional level. Innovation is a key factor for development and competitiveness in individual (individual, enterprise) and institutional (local governmental institutions, regional, national and global level. Scientific problem of article is that impact of creativity, knowledge creation and dissemination and cooperation could not be measured trough quantitative data. Aim of the article is to define support model for cooperation of individual – institutional level in innovative entrepreneurship and its impact on regional development. Methods ar analysis of scientific literature, and political planning documents for define of support model in dynamic external environment.
The Author discussed, explored, evaluated and diagnosed the disparities of economic activity on regional level. The study embraced five peripheral regions of Poland, namely five Eastern provinces (voivodships), i.e. Lublin Province, Podlasie Province, Subcarpathia Province, Świętokrzyskie Province and Warmia-Masuria Province. The aforementioned five voivodships were compared to Poland and Poland’s central region, i.e. Masovia Province. The following elements were taken into consideration: employment rate and employment by sectors, unemployment rate, GDP per capita, number of economic entities and number of natural persons conducting economic activity, investment outlays and gross expenditure on R&D activity, as well as net internal and external migration for permanent residence. In order to observe the possible changes over the time the situation in 2005 and 2017 was studied. Additionally, the total value of projects co-financed by the European Union through Structural Funds and Cohesion Fund within 2007–2013 period and 2014–2020 perspective was presented and analyzed. The research tools used in the article included literature studies, critical thinking, descriptive analysis and comparative analysis, in that the selected statistical method of multivariate comparative analysis, i.e. Hellwig’s taxonomic measure of development. Statistical material provided by Central Statistical Office (Warsaw, Poland) and taken from Statistical Yearbooks of the Regions 2006, 2007, 2017 and 2018 was used for the analysis. The obtained results indicate the persistence of huge regional disparities of economic activity, economic potential and socioeconomic development despite the implementation of EU Policy of Social, Economic and Territorial Cohesion. Hence, it was possible to positively verify the research hypotheses: both the first hypothesis assuming that the gap between the studied peripheral regions and the rest of Poland was not reduced and the second hypothesis assuming that the participation in the processes of regional economic integration, and in particular in EU Policy of Economic, Social and Territorial Cohesion, had only limited impact on the reduction of disparities between Poland’s regions.
Based on sixteen Polish provinces the author discusses, explores, evaluates and diagnoses the regional disparities in development of Poland’s provinces. First, four fields are studied, such as: demographic potential, social development, economic development and technical infrastructure. Next, the author compares sixteen Polish provinces in relation to the level of synthetic measure of socioeconomic development. Research covers the years 2006, 2010 and 2015 and has been conducted using statistical material provided by the Central Statistical Office. The research tools used in the article include literature studies, descriptive analysis and selected methods of multivariate comparative analysis. Multivariate comparative analysis has proved that Mazovia Province is a leader in terms of demographic potential and economic development, while Silesia Province takes the first position in both social development and technical infrastructure. The highest levels of synthetic measure of socioeconomic development have been observed in Mazovia Province and Silesia Province. In addition, the author presents theoretical aspects of socioeconomic development and discusses the relevance of regional policy.
An aging population is defined in the scientific literature as changes in the structural age composition of the population, which leads to growth in the population of those who are 60 years and older. The aging of population is a social and economic problem that needs to be understood and addressed. Aging of the population has a significant impact on national economies, as well as within individual regions of the country. The old age index has a significant impact on regional supply of services. It is worth stressing that in order to improve a community’s quality of life and reduce disparities between regions, it is necessary to continually assess the level of development and regional development opportunities. Evaluation of the regional socio-economic situation should be performed periodically, so that regional policy measures can be directed to the areas of greatest need.
Theoretical analysis of research literature has revealed that prevention of risk or at least mitigation of the negative impact of risk factors on the company‘s employees requires reliable management of ergonomic factors risk, which can occur due to insufficient management of processes, quality, possible emergency situations, accidents. The above aim can be achieved by various preventive measures, just keeping in mind that the procedures of the management of ergonomic risk factors are based on assessment of ergonomic risk factors and priorities focusing on the relevant occupational safety aspects in the business company. However, prior to drafting an accident prevention plan, each company should consider the general environment of the company, conditions, and available resources.
Straipsnyje analizuojama gyventojų užimtumo pokyčių diferenciacija šalies regionuose įvertinant stebimos situacijos kaitą demografinių procesų kontekste (atsižvelgiant į gyventojų skaičiaus dinamikos teritorinius skirtumus). Remiantis Lietuvos statistikos departamento (toliau – Statistikos departamento) duomenimis ir autorių atliktos analizės rezultatais vertinti gyventojų integracijos į darbo rinką galimybių skirtumai šalies regionuose. Atliekant palyginamąją analizę pavienių teritorijų lygmeniu, prioritetas teiktas tokiems svarbiems rodikliams kaip užimtumo lygis ir užimtųjų pasiskirstymas pagal ekonomines veiklas.
Straipsnyje nagrinėjami žemiausiojolygmens vadovų tinkamumo organizacijai nustatymo klausimai, siekiant paskatinti tvarų ekonomikos augimą regione. Nagrinėjama formali žemiausiojo lygmens vadovųveiklos vieta valdymo grandinėje TV–ŽLV–PAV. Nustatyta, kad organizacijoje siekiant maksimalausrezultato, būtinas glaudus tiesioginio vadovo, žemiausiojo lygmens vadovo irpavaldinių valdymo grandinėje TV–ŽLV–PAVryšys ir tinkamumas, kad organizacijos tikslai ir jų siekimo būdai būtų visiemssuprantami. Todėl kiekvieno darbuotojo (grandies) valdymo grandinėje TV–ŽLV–PAV veiksmai darbo procese turi būtisuderinti su kito veiksmais. Parengta metodologija ir sukurtas žemiausiojolygmens vadovų tinkamumo nustatymo valdymo grandinėje modelis pasižymi tyrimometodų (taikyti kiekybiniai ir kokybiniai metodai) ir prieigų įvairove(atliekama kryžminė tiesioginio ir žemiausiojo lygmens vadovo bei pavaldiniųapklausa). Pabrėžiama,kad žemiausiojo lygmens vadovų tinkamumą organizacijai tikslinga nustatytivertinant valdymo grandinėje TV–ŽLV–PAV: kur TV – tiesioginis vadovas, ŽLV –žemiausiojo lygmens vadovas, PAV– pavaldiniai, vertinimo kriterijų, t. y. asmeniniųir dalykinių savybių bei vertybių, pagrindu. Kad valdymo grandinėje TV–ŽLV–PAV tarp grandžių vyrautų tarpusavio supratimas ir veikla būtų darni, būtina tenkintivieną iš dviejų sąlygų: visų vertinimai turi atitikti situacijos vertinimą(kiekvieno asmeninis ir partnerio pateiktas vertinimai turi sutapti); jeigrandžių vertinimai skiriasi, partneriai turi stengtis vienas kitą suprasti ir pateisinti arba būtina keisti ŽLV.
Assessment of the first level managers only in respect of their compliance with the requirements set for a particular job position isnot sufficient. A tool facilitating identification of the relevance of the first level managers in certain management chain is required asit would ensure effectiveness of their performance and harmony in the management chain. The present article aims at emphasisingthe feasibility of identification of the relevance of the first level managers in the management chain (MLM–FLM–SUB) throughpersonality traits. The research analysed the following members (links) of the management chain: first level managers (FLM), theirdirect supervisors – mid-level managers (MLM) and subordinates (SUB) – working in five furniture manufacturing companies ofthe West Lithuania Region. “The Big Five” method was applied as research instrument to assess personality traits of the first levelmanagers. Quantitative analysis enabled modelling of a graph, which represents a derived mean value of the assessment of thefirst level managers’ personality traits, designated to identify disharmonious chains in companies. When identifying the first levelmanagers’ relevance in the management chain, only individual evaluations performed by the members /links of the chains werereferred to and used as a basis for evaluation of personal traits of particular first level manager only. The obtained data supplementsdirect indicators of FLM performance assessment.