{"title":"A Regular D‑optimal Weighing Design with Negative Correlations of Errors","authors":"M. Graczyk, B. Ceranka","doi":"10.18778/0208-6018.344.01","DOIUrl":"https://doi.org/10.18778/0208-6018.344.01","url":null,"abstract":"The issues concerning optimal estimation of unknown parameters in the model of chemical balance weighing designs with negative correlated errors are considered. The necessary and sufficient conditions determining the regular D‑optimal design and some new construction methods are presented. They are based on the incidence matrices of balanced incomplete block designs and balanced bipartite weighing designs. \u0000 ","PeriodicalId":32170,"journal":{"name":"Acta Universitatis Lodziensis Folia Oeconomica","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41536470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Directions of Interrelations Between the Company’s Performance and Corporate Social Responsibility (CSR) Activities","authors":"Robert Zajkowski, A. Domańska","doi":"10.18778/0208-6018.343.13","DOIUrl":"https://doi.org/10.18778/0208-6018.343.13","url":null,"abstract":"The interrelations between engagement in CSR activities and the company’s performance are still one of pivotal managerial problems. Ample findings related to this issue seem to reveal a rather hazy than clear picture. In this paper, an attempt has been made to complement this problematic issue with the results of the survey conducted among a group of Polish large and medium‑sized family businesses. The aim of the paper is to analyse relationships between the self‑assessment of the company’s performance and its engagement in various CSR activities. It seems to be interesting to identify what kind of relationship and mutual influences can be found between the company’s economic and non‑economic activities and whether its value aspects, in their broad meaning, exist. To identify this relationship, two groups of linear regression models were adopted (CSR activities or the self‑assessment of the company’s performance as dependent variables). The ultimate conclusion drawn seems to confirm that the problematic area mentioned above should be described rather by a circular than linear direction of influences which were called a multilevel chain of interferences. ","PeriodicalId":32170,"journal":{"name":"Acta Universitatis Lodziensis Folia Oeconomica","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48021823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Application of Statistical Methods to Identify Factors Determining Employment Effectiveness in District Labour Offices in Poland","authors":"I. Bąk, K. Wawrzyniak, Maciej Oesterreich","doi":"10.18778/0208-6018.343.14","DOIUrl":"https://doi.org/10.18778/0208-6018.343.14","url":null,"abstract":"In Poland, institutions that perform public tasks in the field of the labour market are state employment services, including District Labour Offices (PUPs). They try to restore the unemployed to the open labour market using active forms of their activation. The activities of PUPs in the field of customer activation are subject to annual evaluation. According to the “Act on Employment Promotion and on Labour Market Institutions”, four indicators were selected for the evaluation of the functioning of labour offices in 2015–2017. Among them, the employment effectiveness index is very important, as its level allows us to assess to what extent active forms of activation of the unemployed implemented by PUPs contribute to the return of the unemployed to employment. This assessment is so important that in Poland as well as in other countries research has been conducted on both active forms of activation of the unemployed and employment policies. The aim of the research whose results are presented in the article was to identify factors influencing the employment effectiveness index achieved by District Labour Offices (PUPs) operating in Poland in 2016. Selected statistical methods were used, including correlation and regression analysis as well as multidimensional correspondence analysis. It turned out that the methods applied did not make it possible to unambiguously identify factors which had significantly affected the employment effectiveness index calculated on the basis of all forms of activation. It may turn out that clearer relations could be identified if this indicator was considered separately for particular forms of activation.","PeriodicalId":32170,"journal":{"name":"Acta Universitatis Lodziensis Folia Oeconomica","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46686654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Ranking of Combined Nomenclature Chapters According to Quality of Data on Intra‑Community Trade in Goods of Polish Businesses","authors":"I. Markowicz, P. Baran","doi":"10.18778/0208-6018.343.12","DOIUrl":"https://doi.org/10.18778/0208-6018.343.12","url":null,"abstract":"Adopting the Intrastat system in Poland on its EU‑accession on 1st May, 2004 imposed a new obligation on companies trading goods within the EU. They are obliged to provide information on their intra‑Community trade in the form of monthly declarations. Data on intra‑Community trade from all Member States are collected by Eurostat and disseminated in the form of the Comext database. In public statistics, special attention is being paid to data quality. It is constantly monitored and certain actions are taken to improve it. In order to assess quality of data on intra‑Community trade, the authors have calculated differences between declared values of supplies of goods from Poland as well as foreign acquisitions originating in Poland. The aims of the paper are an analysis of quality of data on Polish intra‑Community trade in goods within Combined Nomenclature chapters as well as creating a ranking of chapters with regard to data accuracy (one of quality dimensions) which we define in terms of divergence between mirror data. Data accuracy was measured with the use of aggregate data quality indices. The ranking of Combined Nomenclature (CN) chapters was presented according to the calculated index value for both intra‑Community supplies of goods (ICS) and intra‑Community acquisitions (ICA). We utilised data on Polish exporters’ transactions from 2017 from the Comext database. In the research results, we indicate those chapters for which large relative discrepancies between mirror data are observed (thus data quality is low). For chapters with low data quality, we present inner structures of discrepancies by country and by CN position. The problem of quality of data on intra‑Community trade is addressed in Poland only in publications of the Central Statistical Office/Statistics Poland. There are no scientific publications on this subject. Therefore, the authors decided to fill this gap and conduct research on sources of information which is the basis for many economic analyses.","PeriodicalId":32170,"journal":{"name":"Acta Universitatis Lodziensis Folia Oeconomica","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45759186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Dynamic Approach to a Comparative Evaluation of Financial Performance of Sections and Sectors of the Polish Economy","authors":"Wanda Skoczylas, Barbara Batóg","doi":"10.18778/0208-6018.343.03","DOIUrl":"https://doi.org/10.18778/0208-6018.343.03","url":null,"abstract":"Financial performance of companies and their groups is of major interest to all stakeholders. As a result, they assess categories such as profitability, financial liquidity, financial independence, and risk. Separate analyses carried out for each of those elements alone do not always deliver conclusive findings, which is where synthetic methods are helpful. A ranking based on the taxonomic measure of development is one of such methods. The aim of the paper is, firstly, to present opportunities for using a dynamic version of the taxonomic measure of development in a comparative and complex assessment of financial performance in PKD divisions (Polish Classification of Activity), and, secondly, to evaluate changes in this area in the years 2014–2016. The data used for developing the ranking were sourced from the joint publication of industry indicators by the Financial Analysis Commission at the Research Council of the Accountants Association in Poland and InfoCredit, and from the Statistics Poland.","PeriodicalId":32170,"journal":{"name":"Acta Universitatis Lodziensis Folia Oeconomica","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49041792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Narrow Banking from the Perspective of Risk","authors":"Jacek Pera","doi":"10.18778/0208-6018.343.04","DOIUrl":"https://doi.org/10.18778/0208-6018.343.04","url":null,"abstract":"The aim of this article is to identify risks arising from the attempt to stabilise the banking system with the use of narrow banking, which in practice means imposing restrictions on various types of assets held by banks and on handling current deposits. To this end, the following will be discussed: the nature and concepts of narrow banking and the risks of narrow banking. The research hypothesis is as follows: narrow banking is an effective concept to use to secure the stability of the financial system. The principal risk connected with the implementation of the concept of narrow banking results from: the cost of deposit insurance, partial loss of banks’ efficiency, mismatching of structures of assets and liabilities of the bank (resulting in GAP), as well as the size and structure of loans for the non‑financial sector. As a result of the conducted analysis, 6 indirect risks were identified, each for the assumed risk level: low, medium and high.","PeriodicalId":32170,"journal":{"name":"Acta Universitatis Lodziensis Folia Oeconomica","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48683127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monika Burzyńska, Małgorzata Pikala, Irena Maniecka-Bryła
{"title":"Ocena utraconych lat życia z powodu chorób sercowo‑naczyniowych w populacji osób starszych w Polsce","authors":"Monika Burzyńska, Małgorzata Pikala, Irena Maniecka-Bryła","doi":"10.18778/0208-6018.343.05","DOIUrl":"https://doi.org/10.18778/0208-6018.343.05","url":null,"abstract":"Celem artykułu jest ocena trendów umieralności z powodu chorób sercowo‑naczyniowych w grupie osób w wieku 65 lat i więcej w Polsce w latach 2000-2014 na podstawie danych o utraconych standardowych oczekiwanych latach życia. W badaniu wykorzystano bazę danych zawierającą 2 148 871 kart zgonów starszych mieszkańców Polski, którzy zmarli w latach 2000-2014 z powodu chorób układu krążenia. Utracone lata życia obliczono, stosując wskaźniki SEYLLp (Standard Expected Years of Life Lost per living person). Do analizy trendów wykorzystano modele joinpoint. Współczynnik SEYLLp (na 10 000 ludności) z powodu chorób sercowo‑naczyniowych w Polsce w populacji osób w wieku 65 lat i więcej zmniejszył się w analizowanym okresie. Wśród mężczyzn z 4619,0 w 2000 roku do 3067,0 w 2014 roku (AAPC = –2,4%, p < 0,05), a w grupie kobiet z 3038,0 do 2065,0 (AAPC = –2,5%, p < 0,05). W 2014 roku największą liczbę utraconych lat życia wśród mężczyzn spowodowała choroba niedokrwienna serca (819,0), natomiast wśród kobiet choroby tętnic, tętniczek i naczyń włosowatych (489,0). Niekorzystne trendy (w grupie mężczyzn i kobiet) odnotowano dla niewydolności serca (AAPC odpowiednio 3,3% i 2,8%; p < 0,05). Mimo pozytywnej tendencji badanego zjawiska należy zwiększyć nacisk na problemy kardiologiczne osób starszych w celu niwelowania nierówności w zdrowiu i niekorzystnych różnic w przeciętnym dalszym trwaniu życia.","PeriodicalId":32170,"journal":{"name":"Acta Universitatis Lodziensis Folia Oeconomica","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46258778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Application of Discriminant Analysis to the Identification of Key Factors of the Development of Polish Cities","authors":"Barbara Batóg, Jacek Batóg","doi":"10.18778/0208-6018.343.11","DOIUrl":"https://doi.org/10.18778/0208-6018.343.11","url":null,"abstract":"Due to limited resources, effective urban development policies require the identification of key development areas and priorities. The existing development strategies or results of statistical analyses can be used for this purpose. In the latter case, one of methods of multidimensional analysis can be used – discriminant analysis. Although it is applied to many areas on a microeconomic scale, e.g. in predicting the bankruptcy of enterprises, it was rarely used to assess the competitive position or the dynamics of development of cities. The main aim of the paper is to identify the most important factors of development of Polish cities with powiat status and to analyse changes of these factors in time. Apart from typical areas, such as investment, income, employment, debt, or migration, the analysis uses qualitative variables which allow us to assess whether the size of the city and its location determine the dynamics of city development. The authors have found that the key factors determining the development of the largest Polish cities are related to the situation on the labour market and investments incurred by companies as well as by the cities themselves.","PeriodicalId":32170,"journal":{"name":"Acta Universitatis Lodziensis Folia Oeconomica","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46268092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Remarks on Statistical Measures for Assessing Quality of Scoring Models","authors":"A. Idczak","doi":"10.18778/0208-6018.343.02","DOIUrl":"https://doi.org/10.18778/0208-6018.343.02","url":null,"abstract":"Granting a credit product has always been at the heart of banking. Simultaneously, banks are obligated to assess the borrower’s credit risk. Apart from creditworthiness, to grant a credit product, banks are using credit scoring more and more often. Scoring models, which are an essential part of credit scoring, are being developed in order to select those clients who will repay their debt. For lenders, high effectiveness of selection based on the scoring model is the primary attribute, so it is crucial to gauge its statistical quality. Several textbooks regarding assessing statistical quality of scoring models are available, there is however no full consistency between names and definitions of particular measures. In this article, the most common statistical measures for assessing quality of scoring models, such as the pseudo Gini index, Kolmogorov‑Smirnov statistic, and concentration curve are reviewed and their statistical characteristics are discussed. Furthermore, the author proposes the application of the well‑known distribution similarity index as a measure of discriminatory power of scoring models. The author also attempts to standardise names and formulas for particular measures in order to finally contrast them in a comparative analysis of credit scoring models.","PeriodicalId":32170,"journal":{"name":"Acta Universitatis Lodziensis Folia Oeconomica","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41762137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Przestrzenna analiza kapitału ludzkiego w obszarze zdrowia w Polsce w powiązaniu z sytuacją społeczno‑ekonomiczną w regionach","authors":"Maria Klonowska-Matynia","doi":"10.18778/0208-6018.343.10","DOIUrl":"https://doi.org/10.18778/0208-6018.343.10","url":null,"abstract":"Celem artykułu jest pomiar i diagnoza struktury zasobów kapitału ludzkiego definiowanego w obszarze zdrowia. Podjęto próbę oceny jego przestrzennego rozmieszczenia, a także zbadano związek między kapitałem zdrowotnym a poziomem rozwoju społeczno‑gospodarczego. W badaniu wykorzystano wybrane taksonomiczne metody hierarchizacji (bezwzorcowe) oraz klasyfikacji obiektów wielocechowych. W efekcie każdemu obiektowi (jednostce terytorialnej) przypisano miarę syntetyczną – tzw. względny wskaźnik poziomu kapitału ludzkiego definiowanego w obszarze jakości zdrowia (WSKLz). Weryfikacji poddano założenie o występujących dysproporcjach w poziomie kapitału zdrowotnego WSKLz i o jego zróżnicowanej strukturze oraz o istniejącym dodatnim związku między poziomem kapitału zdrowotnego WSKLz a poziomem rozwoju społeczno‑gospodarczego danej jednostki wyrażonego miarą LHDI. Wyniki badań potwierdzają, że przestrzeń społeczno‑ekonomiczna w Polsce wykazuje cechy zróżnicowania zarówno pod względem samego poziomu kapitału zdrowia, jak i jego cech strukturalnych. Zauważalne są pewne prawidłowości w rozkładzie przestrzennym tego zasobu w układzie międzyregionalnym i w układzie centrum–peryferie. Wyniki testów statystycznych pozytywnie weryfikują hipotezę o istniejącym dodatnim związku między poziomem kapitału zdrowia WSKLz a poziomem rozwoju danej jednostki LHDI, przy czym siłę związku ocenia się na poziomie co najwyżej średnim. Analizę empiryczną przeprowadzono na poziomie powiatów w Polsce. Główne źródła danych to: Główny Urząd Statystyczny, Bank Danych Lokalnych, Narodowy Spis Powszechny 2011 (NSP) oraz dane dotyczące poziomu rozwoju lokalnego LHDI pochodzące z Krajowego Raportu o Rozwoju Społecznym. Polska 2012.","PeriodicalId":32170,"journal":{"name":"Acta Universitatis Lodziensis Folia Oeconomica","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48895721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}