<abstract xmlns="http://www.w3.org/1999/xhtml">

In this paper an investigation of social media marketing techniques of Coworking spaces’ type of business is performed, using datasets acquired using social media monitoring tools. <italic>Mediatoolkit</italic> has been used to scrap data deriving from the activity of the <italic>WeWork</italic> Instagram and Twitter accounts which were collected on a 24/7 basis from varying locations and in multiple languages in a fifteen-day time window. Indices related to sentiment, reach, influence, number of followers, retweets, likes, comments, and view scores formed the datasets that were examined by applying multiple correspondence analysis as well as the hierarchical clustering method. The aim of this paper was to explore the inherent properties of the multiple indices describing the general realm of social media marketing tools, and more specifically aspires to provide digital marketers with an alternative perspective of social media marketing strategies related to the emerging coworking spaces type of business. The authors identified three classes/segments of posts, whereas post polarity tends to relate to geographic location, regardless of the social media channel used for posting.
</abstract>

Department of International and European Studies

Framing Coworking Spaces Marketing Strategies via Social Media Indices

<abstract xmlns="http://www.w3.org/1999/xhtml">

The deterioration of the general investment climate, the economic recession, and changes in consumption patterns caused by the COVID-19 pandemic have forced various foreign investors to restrict or suspend investments. One of the possible reactions by investors to the coronavirus crisis is divestment. This article aimed at detecting and analysing the regularities between the risk of foreign divestment in various industry branches and the destinations of FDIs at the level of NUTS 1 macroregions of the Visegrad Group countries during the COVID-19 pandemic, using correspondence analysis. The results of the assessment of the risk of foreign divestment in NUTS 1 macroregions of the Visegrad Group countries are characterised by diversity in terms of territorial and sectoral layout, depending on the analysed scenario of the COVID-19 pandemic development. It is hard to clearly indicate a macroregion which, irrespective of the scale of the spread of the disease, could be perceived by foreign investors as invariably highly risky or characterised by a constantly low risk of divestment.
</abstract>

The use of Correspondence Analysis in the Study of Foreign Divestment in the Visegrad Countries during the Coronavirus Crisis

<abstract xmlns="http://www.w3.org/1999/xhtml">

The aim of this study was to test the effectiveness of an econometric model with dichotomous (binary) explanatory variables in the approximation and prediction of different kinds of cyclicality (annual, monthly, weekly, and daily) of demand for telephone services. The analyses were conducted with the use of data provided by the selected telecommunication network operator. The data included hourly combined demand for specified telephone services (in seconds) of outgoing calls within the framework of the particular subscriber group (business or individual), the given day, the particular month, and the specific category of connection. All kinds of the cyclicality were confirmed in models with 70 explanatory variables (i.e. in models without holidays). The inclusion of the variables set denoting specific holidays improved goodness of the models fit to the data. The econometric modelling of cyclical components and the forecasting of it with the use of dichotomous variables was effective.
</abstract>

Econometric Modelling of Compound Cyclicality of using Telecommunication Services

<abstract xmlns="http://www.w3.org/1999/xhtml">

Green growth is a new approach to the economy that assumes the efficient use of raw materials while minimizing the negative impact on the environment. The aim of the study is to assess green growth in the European Union countries in 2019. For this purpose, secondary data was used and a multidimensional analysis of sustainable development was performed. The non-pattern model together with the Hellwig and Ward methods were implemented. This enabled a comparison between countries, and their classification due to a similar level of development. Based on the analysis, a large discrepancy in terms of green growth was observed in the examined countries. It was noted that the disproportion may turn out to be a problem in the implementation of the sustainable development policy. The results also showed that the position of the country is reflected in its geographic location.
</abstract>

Multidimensional Analysis of the Green Growth of the European Union Countries in 2019

<abstract xmlns="http://www.w3.org/1999/xhtml">

This study aimed at examining the relation between economic growth and carbon dioxide (CO2) emissions in North African countries in the period 2000-2018. To prove this, the author applied the OLS method of the two variables describing the Environmental Kuznets Curve: GDP per capita and CO2. The results show that GDP per capita reflects the influence of changes in the level of income on environmental pollution in five of the seven countries surveyed.
</abstract>

Empirical Analysis of the Environmental Kuznets Curve for Economic Growth and CO2 Emissions in North African Countries

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Econometrics

 The Econometrics journal has been published continuously since 1998. Starting from the first issue, Józef Dziechciarz has been an Editor-in-Chief of the journal. Until 2011, the journal was issued in the series of Academic Research Papers at the Wrocław University of Economics as Econometrics. Applications of quantitative methods. Since 2009, four issues have been published annually. It enables the introduction of regular quarterly release cycle. The Econometrics is published in English. The Scientific Council of our journal also includes professors affiliated with foreign institutions. The list of scientific reviewers includes eminent scientists from both home and abroad. Among the authors of the publications are both scientists from Polish academia, as well as many scientists from foreign universities. High level of scientific works, our confidence and insightful comments from reviewers contribute to the publication of valuable articles and dissemination of national scientific achievements. Until the end of 2017, fifty eight issues of the journal were published.  The subject area of the published articles covers theoretical and practical aspects of the methods of econometrics, statistics and mathematics. The domain of applications of these methods covers wider economic issues, including macro and microeconomic analyses; statistical and econometric analysis and modeling market data, as well as capital investment and insurance problems. Social and demographic analyses cover the issues of education, employment and unemployment, poverty, etc. Many studies have cyclical character, published articles show long-term results of research, include a scientific discussion with the reviewers suggestions formulated on the basis of earlier works. This allows to track the progress of scientific research, and the publications appearing in the Econometrics journal are an inspiration to undertake new research challenges.  econometrics.ue.wroc.pl/　   The Econometrics journal is indexed in Google Scholar and details on the citations can be found on Google Scholar Citations.  Also find us at:   Index Copernicus  Erih Plus    Why subscribe and read The Econometrics is a scientific journal that promotes both theoretical aspects of mathematical, statistical and econometric methods as well as application possibilities. It focuses on the presentation of new and modernization of well-known methods as well as their adaptation in economy, business processes and social sciences in a very broad meaning. Due to the fast publishing production, the presented articles refer to the latest research, papers are always up-to-date, original, scientific, never printed before in other scientific journals. The Econometrics is the place of interdisciplinary debate with the participation of economists and statisticians.  Why submit The journal offers a fast, honest and constructive review, carried out in the double blind review process. After acceptance, an article is evaluated by a native speaker and a statistics editor. After acceptance, the publication process is very fast.The Econometrics journal belongs to the group of magazines that are constantly highly rated and enjoy a good reputation among authors and reviewers.  Rejection Rate   32%   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 

Econometrics

Volume 25 (2021): Issue 2 (June 2021)

Framing Coworking Spaces Marketing Strategies via Social Media Indices

The use of Correspondence Analysis in the Study of Foreign Divestment in the Visegrad Countries during the Coronavirus Crisis

Econometric Modelling of Compound Cyclicality of using Telecommunication Services

Multidimensional Analysis of the Green Growth of the European Union Countries in 2019

Empirical Analysis of the Environmental Kuznets Curve for Economic Growth and CO₂ Emissions in North African Countries

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