Statistika: Statistics and Economy Journal - No. 4/2018
Code: 320197-18 |
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Interregional Flows for the Czech Economy
Karel Šafr, Jaroslav Sixta
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The paper brings both the methodology and data on the construction of regional flows in the interregional model. We focus on the comparison of the entropy method and the commonly used gravity method. The entropy method is based on minimizing import distances at the determined rate of entropy of the interregional flows of intermediaries. The gravity method is used in its standard form with an additional factor for adjusting the warehouses, and its parameters are estimated for physical flows. The resulting estimates are then applied on the regional input-output tables and are used to construct a standard Leontief interregional model. To analyse the difference between the two models, we use a graphical representation. Furthermore, we assess the percentage deviation of the average Leontief multiplier in the regional submatrices. We proved that, although the interregional output flows appear different and the relative structure of Leontief matrix is different, the resulting impacts on the regions do not fundamentally differ.
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Physical Supply and Use Tables: the Most Comprehensive Way for Reporting Waste Flows
Jan Kovanda
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Material flow analysis is a useful tool to measure resource use and mitigate the related problems. In order to increase its analytical potential, it is advisable to construct physical input-output tables. (PIOT). PIOT, defined by SEEA (UN et al., 2014), are based on two basic building stones: physical supply tables and physical use tables (PSUT). Besides other information, PSUT include data on waste and secondary materials. We collected waste and secondary material data for the Czech Republic, 2014, and incorporated them into various PSUT Tables. We argue that PSUT are a useful tool for organizing and depicting these data in a clear and comprehensive way. We constructed a Sankey diagram based on PSUT which provides some important insights into waste and secondary material flows in the Czech Republic. These insights can be used in reports assessing waste flows in the Czech Republic and for further shaping and updating of waste policies. We therefore think that our argument on usefulness of PSUT for organizing data on waste and secondary materials proved valid.
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A Statistical Analysis of Productivity and Compensation of Labour in the EU
Vít Pošta
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The presented paper first discusses possible hypotheses on the relationship between compensation and labor productivity, arguing equiproportionality between the two cannot be considered a viable economic hypothesis. The main part of the analysis focuses on the EU countries, presenting a detailed view of the developments in the past twenty years from the point of view of both nominal and real unit labor costs. It shows that the relationship between compensation and labor productivity varies greatly among the economies and no general conclusions may be drawn. In case of the Czech Republic the estimates show that responsiveness of compensation to productivity is relatively high as compared with the EU panel and the growth of compensation surpasses the growth of productivity in both nominal and real terms as compared with the EU or Germany as a benchmark.
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The Influence of Public Support on University-Industry-Government Collaboration: the Case of the Czech Republic, Slovakia, Hungary and Romania
Henry Junior Anderson, Samuel Amponsah Odei
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European, national governments and regional authorities, in recent times, are actively encouraging technology transfer from universities to industries as a fulfilment of the well embraced “third mission” of universities. To pursue this, governments have mediated this process by enacting and enforcing legislative instruments and efficiently appropriating research outcomes by providing public funding support structures to aid universities in their research commercialization efforts. The paper aims to examine various public funding schemes available for firm’s innovation collaborations and how they influence firm’s cooperation. Using data from the Eurostat’s Community Innovation Survey (2012–2014) and the binary logistic regression model, we found that funding from the central government was a significant determinant influencing firm’s collaborations with universities, other enterprises in the enterprises group and with government research centres. Conversely, funding from local authorities and the EU was largely insignificant in influencing firm’s collaborations with other enterprises and the government. Practical policy recommendations will be also provided to strengthen firm’s collaboration.
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Public Finance, the Public Sector and the General Government Sector
Ludmila Vebrová, Václav Rybáček
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The aim of this paper is to bring a contribution to the clarification of the terms such as public finance, public sector or government which are widely used in economic analysis or in public finance management. In the Czech environment, those terms are understood differently across statistical, legislative or accounting domains. The paper illustrates a nuanced understanding currently existing. Apart from the illustrations of varying use, the content of terms in question and their mutual relation are explained and analysed from the point of view of a relevant statistical methodology. The paper concludes offering a more robust content of the term “public finance” in relation to the statistical data which are generally used as an illustration of public finance development.
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Supporting the Compilation of Quality Reports
Irina Meinke
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During the last years, the quality unit of Destatis made valuable experiences at national and international level with the compilation of quality reports concerning the following questions: Which concepts of the quality reports are typically posing problems for the subject matter units? How can existing guidelines be improved (in wording and form) in order to better support the compilation of quality reports?
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Technological Innovations in the Census of Agriculture
Jairo Castano
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Unparalleled changes in technology such as remote sensing, mobile devices (e.g. tablets, smartphones), Web questionnaires, online dissemination of results (e.g. infographics, social media) as well as electronic data archiving and anonymization of micro-data, are increasingly transforming the way countries conduct agricultural censuses and sample surveys. Their use facilitate both data collection and data dissemination by enhancing reliability, timeliness, readability and comprehensibility of census results. This is discussed in Volume 2 of the new FAO guidelines on the World Programme for Census of Agriculture 2020 (WCA 2020) and summarized in this paper.
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Hundred Years of the Czech Statistics
Ladislav Pištora
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After a brief information about the history of statistics in the Czech lands during the Austria-Hungarian
monarchy the paper aims to specify basic features of statistics outlined during the World War I by Dobroslav Krejčí, a representative of the Statistical Office in the Bohemian Kingdom.
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Statistical Literacy and Education in the State Statistical Office of the Republic of Macedonia
Mira Todorova
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In modern knowledge-driven society, the knowing how to use statistical information is a necessary skill to citizens. The State Statistical Office of the Republic of Macedonia recognizes the importance of the proper use of statistical data. According to its Strategy, the State Statistical Office will work on improving statistical literacy, and the specific sub-program: Improving statistical literacy is defined.
This paper will describe the actions taken by the State Statistical Office to promote the statistical culture in the country. In addition, a description will be given of the unique postgraduate studies in "Statistical Methods for Business and Economics".
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Policies, Technology and Quality Returns from the World Development Indicators
Biokou Mathieu Djayeola, Tony Fujs
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The World Bank’s World Development Indicators are the primary collection of development statistics including economic, social, and environment indicators compiled from recognized international sources. It presents the most current and accurate global development data available, and includes relevant national, regional and global aggregated estimates for the purposes of analytics and policy making in international development arena.
In this paper, we review major policy decisions, key investments in technological platforms, and best practices in quality management around the reputation of the World Development Indicators. These findings are presented with the prospects of assessing how international statistical organizations model high demand statistical products, gather resources for their production, and establish subsequent quality control frameworks – including customer relations – needed for their sustainability.
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International Conference Applications of Mathematics and Statistics in Economy (AMSE 2018)
Stanislava Hronová
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Mathematical Methods in Economics (MME 2018) International Conference
Petra Zýková, Josef Jablonský
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12th Year of the International Days of Statistics and Economics (MSED 2018)
Tomáš Löster, Jakub Danko
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Modelling Smart Grids 2018: 4th International Interdisciplinary Workshop
Ondřej Vozár
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Celebrations of the 50th Anniversary of the Slovak Statistical and Demographic Society
Hana Řezanková, Jitka Langhamrová
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Published: 21.12.2018
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