Classification Of Economic Activities Research Articles

IT SECTOR TAXATION IN UKRAINE: FEATURES AND CURRENT TRENDS

IT SECTOR TAXATION IN UKRAINE: FEATURES AND CURRENT TRENDS

Towards the Study of Professional Corporate Education in Terms of Its Thematic Focus and Outcomes

Aim: The aim of the paper is to characterize how the time for training employees in individual thematic areas is related to the outcomes and changes, facilitated by individual educational activities. Methods: The questionnaire method and interviewing methods were applied for obtaining data from respondents. The starting-point of empirical research was the knowledge and needs of the company, which perceives education as an investment. The respondent sample included 370 lectors/instructors and managers from three countries. The research was conducted in selected companies of section C − Manufacturing, Statistical Classification of Economic Activities. Basic variables include the number of training hours and results of the changes after training activities. Three groups of employee education are analysed: general training, performance-oriented training and digital training. Findings: Our division of educational activities into three groups enables the fulfilment of the basic European Commission targets for the 2021−2027 programme. Recommendations: Invest in developing new skills through future corporate training in the context of innovative transformation of the economy for a smarter Europe. Create conditions for better utilisation of human potential by eliminating the discrepancy between offered and required skills. Novelty of the paper:international comparison of educational activities, focus on the smart Europe and transformation to Industry 4.0. Doi: 10.28991/ESJ-2024-SIED1-04 Full Text: PDF

The Impact of the Carbon Footprint in European Loans of the Economic Activities

The transition to a low-carbon economy has interested academics and policymakers recently. Our goal is to develop a preliminary analysis of the transition risk of the European financial system and individuate the importance of the environmental aspect in the loans received by statistical classification of economic activities in the European Union (NACE Sectors). The study defines two indicators that identify the transition risk the EU bears and the “carbon footprint of the loan” (CFL) that Europe presents through the loans granted to the various economic sectors. In addition, it analyzes the possible interactions that influenced the value of loans. In particular, the paper puts as the dependent variable the loans and, as independent variables, the Value Added (VA) by each NACE sector, the carbon footprint of loans, GreenHouse Gas emissions, environmental taxes, and economic growth. The groups “D. Electricity, gas, steam and air conditioning supply” plus “E. Water supply, sewerage, waste management and remediation activities” result to be, simultaneously, the sectors with the higher risk transition and CFL. Besides, the results show that the VA and CFL variables are statistically significant. The first highlights the strategic importance of having better performance and economic development, which allow for obtaining higher loans. The second variable underlines the ever-increasing importance of environmental issues and how the authorities are attentive to the provision of financing based on the polluting capacity of those “funded”. From this, we can deduce the ever-increasing importance of renewable energy for reducing greenhouse gases (European objective of climate neutrality by 2050) and reducing dependence on fossil fuels.

Resilience and performance: capturing their synergy for ongoing success

PurposeMost companies struggle to meet the dual goals of sustaining competitive advantage and ensuring high resilience during crises. Those that do, research tells, adapt their operational practices along the crisis cycle, combining an effective cost approach at the start of a crisis, while quickly relaunching their investment to grow ahead of competition, just when they learn that the crisis is peaking, and not too late, when the crisis is over. This cycle alignment is possibly the crucial, but not the only, factor for success. We update early research to show that companies succeeding in this dual objective also take a proactive strategy approach of capturing the complementarities between both performance and resilience during a period of high turbulence. This complementarity relies on exploiting dynamic capabilities common to both resilience and performance, and on leveraging the resilience process as a foundation for strategic renewal going forward.Design/methodology/approachThe research relies on case studies, complemented by an original survey sample, collected just after the peak of the covid-19 pandemic, of 4,000 multinational firms spread across 18 industries termed NACE2, a statistical classification of economic activities in the European Community. This study included 10 countries outside the European Community. The sample collects information on five core enterprise capabilities (agility, innovativeness, active ecosystem play and digital/sustainability maturity, flexible work practices) and uses a variety of quantitative techniques to assess that existence and size of synergies captured by firms.FindingsCompanies meeting the dual goal of resilience and performance are more than doubling their rate of profit growth relatively to peers, after the peak of the crisis, by leveraging of synergies between performance and resilience.Originality/valueThe topic is essential for management, given the elevated turbulence. This research confirms that resilience and performance are synergistic and helps make companies using each crisis boost performance forward.

MODELING OF THE SYNTHETIC INDICATOR OF COMPETITIVENESS OF AGRICULTURAL ENTERPRISES: A METHODOLOGICAL APPROACH TO THE USE OF NEURAL NETWORK TOOLS

The article is devoted to the development of a methodical approach to modelling a synthetic indicator of the competitiveness of agricultural enterprises using the tools of neural networks.The authors used general scientific and special research methods, such as monographic, logical-theoretical, statistical and economic-mathematical, visualization, system analysis, taxonomy and neural network modelling, generalization, logical abstraction and conclusion generation. The study was based on materials from the State Statistics Service of Ukraine, scientific developments of foreign and domestic scientists on the defined topic, and financial statements of the agricultural enterprises of Vinnytsia region LLC «Ahrokompleks «Zelena dolyna», PJSC «Dashkivtsi», LLC «Selyshchanske», PE «Dary sadiv», PE «Fortuna» the main type of economic activity of which according to Classification of economic activities 01.11 – cultivation of cereals (except rice), legumes and oilseeds. The article develops and presents a non-classical approach to the assessment of the competitiveness of agricultural enterprises has been developed, which is based on the principles of neural network modelling. It allows to obtain a well-founded quantitative indicator, which can be easily interpreted into a linguistic evaluation on a three-level scale of competitiveness and used for comparison, monitoring and making sound decisions on improving the competitiveness of agricultural enterprises.The non-classical approach complements traditional methods of competitiveness assessment, expanding their capabilities and eliminating certain limitations. The use of neural network modelling in competitiveness assessment allows to take into account complex and non-linear relationships between different factors and indicators, which contributes to an increase in the objectivity and accuracy of competitiveness assessment, which in turn allows enterprises to make better decisions and improve their strategies to achieve success in the market.The results of the study can be used to support strategic decision-making in the agricultural sector, identify priority development directions, and improve the competitive strategies of enterprises and the functioning of business processes.

Professional Corporate Employee Education from the Point of View of the Types of Education and the Applied Forms of Education

The purpose of this paper is to characterize the types and forms of continuing vocational education applied in selected Slovak companies and their benefits for employee performance. The basic concepts, i.e. compulsory and voluntary vocational training of employees, obligations of the employer and the employee related to these forms of education are defined in the paper in accordance with the law. Most of the mandatory trainings are intended for all employees of a given employer entity and concern occupational safety and health, first aid, fire protection, as well as trainings focused on regular verification and renewal of employees' skills. Voluntary educational activities are based on the interests and needs of employees. Questionnaire and interview methods were applied in the empirical research. The target number of respondents selected from two divisions of the statistical classification of economic activities in the Slovak Republic was 120. The research results presented in the tables show the types and forms of education/training applied in the analyzed companies, classified by the number of participants, duration and repetitiveness of the training. The research results confirm that mandatory training courses are organized in all the companies surveyed, while voluntary continuing education in these companies is most often conducted as a one-time educational activity of short duration.

Industry-specific prevalence and gender disparity of common mental health problems in the UK: A national repetitive cross-sectional study.

The aim of the study was to evaluate the prevalence and temporal trend of common mental health problems (CMHPs) in the UK by industrial classification from 2012-2014 to 2016-2018 while evaluating the corresponding gender disparities. We used data from the Health Survey for England. CMPH was judged by a 12-item General Health Questionnaire. Industrial classifications were defined using the UK Standard Industrial Classification of Economic Activities. Data were fitted by the logistic models. In this study, 19,581 participants covering 20 industries were included. In total, 18.8% of participants screened positive for CMHP in 2016-2018, which significantly increased from 16.0% in 2012-2014 [adjusted OR (AOR) = 1.17, 95% CI 1.08-1.27]. In 2016-2018, the prevalence of CMHP ranged from 6.2% in the industry of mining and quarrying to 23.8% in the industry of accommodation and food service activities. From 2012-2014 to 2016-2018, none of the 20 industries studied experienced significant decreases in the above prevalence; conversely, three industries saw significant increases, including wholesale and retail trade, repair of motor vehicles and motorcycles (AOR for trend = 1.32, 95% CI 1.04-1.67), construction (AOR for trend = 1.66, 95% CI 1.23-2.24), and other service activities, which cannot be classified (AOR for trend = 1.94, 95% CI 1.06-3.55). In total, 11 of the 20 industries studied had significant gender disparities against women, with the smallest gap being in the industry of transport and storage (AOR = 1.47, 95% CI 1.09-2.0) and the highest in the industry of arts, entertainment, and recreation (AOR = 6.19, 95% CI 2.94-13.03). From 2012-2014 to 2016-2018, gender disparities were narrowed only in two industries, including human health and social work activities (AOR for trend = 0.45, 95% CI 0.27-0.74), and transport and storage (AOR for trend = 0.5, 95% CI 0.27-0.91). The prevalence of CMHPs has increased and had a wide variation across industries in the UK. There were disparities against women, and the gender disparities have been keeping almost no improvement from 2012-2014 to 2016-2018.

Work-related head injury and industry sectors in Finland: causes and circumstances

ObjectiveDespite the continuous development of occupational safety, the prevalence of work-related head injuries is excessive. To promote prevention, we conducted a study evaluating the risks and pathways that precede head injuries in different economic activity sectors.MethodsIn Finland, more than 90% of employees are covered by inclusive statutory workers’ compensation. We obtained data on occupational head injuries in 2010–2017 from an insurance company database. The European Statistics on Accidents at Work (ESAW) variables represented the characteristics of the accidents and the injury. We analysed the risk factors, contributing events and injury mechanisms in 20 industry sectors, based on the Statistical Classification of Economic Activities in the European Community (NACE).ResultsIn the 32,898 cases, the most commonly affected area was the eyes (49.6%). The highest incidence of head injuries was in construction (15.7 per 1000 insurance years). Construction, manufacturing, and human health and social work activities stood out due to their distinctive ESAW category counts. ‘Working with hand-held tools’ [risk ratio (RR) 2.23, 95% confidence interval (CI) 2.14–2.32] in construction and ‘operating machines’ (RR 3.32, 95% CI 3.01–3.66) and ‘working with hand-held tools’ (1.99, 1.91–2.07) in manufacturing predicted head injury. The risk related to parameters of violence and threats in health and social work activities was nearly ninefold the risk of other sectors.ConclusionThe risks and pathways preceding head injuries varied considerably. The highest head injury rates were in construction and manufacturing. Violence emerged as a major risk factor in human health and social work activities.

Study of part of non-agricultural activities in rural areas of South-Central region of Bulgaria for the period 2010 – 2020

Rural areas (RA), according to their geographical determination, are determined by specific characteristics for each of them. The administrative affiliation, on the other hand, fixes the socio-economic profile and in relation to this direction, the aim of the scientific study is to investigate some of the non-agricultural activities - Hotel and restaurant industry (I), Education (P) and Human health and social work (Q) in the rural areas of the South-Central Region (SCR) for the period 2010-2020. The study includes employed persons and enterprises in the specified subsectors. The aim of the current development is to track the movement of employed persons and enterprises in the RA of the country. These subsectors are related to the socio-economic status of these territories. Deductive, comparative method and Localization Index (IL) have been applied. Analysis and conclusions are made based on the Index of localization of the various activities, comparing them to the territories according to the NUTS classification. The conclusion and the findings are based on the results indicated in the study. The Classification of Economic Activities (CEA) of 2008, EU Regulation No 1893/2006 of the European Parliament and of the Council of 20.12.2006 have been applied.

The Impact of Foreign Direct Investment from the Nordic Countries on the Structure of Lithuania’s Economy

Foreign direct investment is considered a driving force for economic growth, boosting trade and reducing unemployment. The recipient country benefits from technology transfer. The host economy develops and changes its economic structure. The Baltic states, including Lithuania, attracted high volumes of Nordic FDI. The aim of the study is to evaluate the impact of inwards Nordic FDI on the economic structure of Lithuania. The research employed descriptive statistics, correlation regression and the Granger causality test. The stationarity of the data was checked by the augmented Dickey–Fuller test to evaluate the impact on the structural changes. The sectors were divided into primary, secondary and tertiary. The data have been structured according to the economic activities corresponding to the Nomenclature statistique des activités économiques dans la Communauté européenne (NACE) classification of economic activities in the European Union. The primary sector includes agriculture, forestry and mining. The secondary factors included manufacturing, construction, water and electricity supply, tertiary cover services and trade. Furthermore, for our research, we chose GDP per capita and gross value added (GVA). The GVA was chosen to evaluate the impact of each Nordic country’s FDI on different sectors. The sectoral contribution to the economy is expressed as GVA. This research was performed from three perspectives. The first is focused on the analysis of the flows and distribution of FDI in Lithuania by economic sector in the Nordic countries. Furthermore, we have analysed the impact of foreign direct investment in the Nordic countries on Lithuania’s economic growth. The final subsection is devoted to estimating the causal link between the distribution of FDI by economic sector in the Nordic European countries and the causal link between economic indicators in these sectors. Our study contributes to internationalization theory by extending it from a sectoral angle. In particular, the need to understand the impact of FDI from a single country on the host economy and its economic structure should be emphasized. We claim that inwards FDI might change the economic structure of the host economy in a positive or negative way. In addition, FDI should contribute to the economic advancement of host countries, which means that the tertiary sector should expand. The results of our study might be useful for improving FDI promotion policy in Lithuania while seeking long-term results in the expansion of the tertiary sector, especially knowledge-intensive activities. Main conclusion. We can conclude that Lithuania has the potential to benefit from inwards Nordic FDI; however, it still does not take all the advantages of these opportunities, as some FDI has no impact on the expansion of the tertiary sector or any sector at all.

Перспективные экономические специализации макрорегионов как ключевая недоработка Стратегии пространственного развития Рос- сии

Introduction: the Spatial Development Strategy of the Russian Federation was adopted in 2019 and included the development of strategies for 12 macro-regions, which, however, did not happen. At the end of 2022, the relevance of updating the Strategy has decreased: the number of the Russian Federation regions increased under the new geopolitical conditions, and the strategic agenda focus shifted to the new economic policy of the country, considering its national interests, sovereignty, and state security. Aims: to structure and detail promising economic specializations of the subjects of the Russian Federation in the context of macroregions. Methods: comparative analysis of documents, collection and analysis of quantitative data, structural analysis. Results: the calculations of promising economic specializations of the Russian Federation subjects within each macro-region, on the one hand, demonstrate the types of economic activities as promising specializations, on the other hand, do not make it possible to understand the country’s overall strategic development vector. The main factor limiting the development of lawmaking is the approach to the choice of economic specializations based on Russian Classification of Economic Activities which lacks an appropriate detailing. Conclusions: the Spatial Development Strategy of the Russian Federation needs to be adjusted in terms of eliminating substantive and methodological inconsistencies. It is necessary to restore the approach based on the sectors of the national economy to determine the promising economic specializations of the regions. The territorial grouping of the Russian Federation subjects into macro-regions has shown the functional inconsistency of artificial integrations. Spatial development should be focused on the infrastructural improvements of the Russian regions as a part of the federal districts, considering existing national projects and state development priorities.

Kvalita bankovních úvěrů v koronavirové krizi

This article deals with the issue of non-performing bank loans during the time of the coronavirus crisis and provides valuable insights into the sectors, classified by the NACE (Statistical Classification of Economic Activities) system, that were most affected in terms of the quality of bank loans in the Czech Republic. The main objective is to identify the most affected economic sectors in the Czech Republic based on the number of non-performing loans. A secondary aim is to compare the number of non-performing bank loans between data for the Czech Republic and the European Union. The article begins by describing the development of the Covid-19 pandemic and the measures and compensations implemented by the government of the Czech Republic. It then defines non-performing bank loans and presents an overview of the number of non-performing bank loans in the Czech Republic as a whole. The results and discussion section delves into the detailed analysis of non-performing bank loans according to the mentioned NACE classification. The data used to achieve the stated objectives were sourced from the European Banking Authority and were compared and visualized in graphs. The most affected sector in both the Czech Republic and the European Union was found to be Sector I - Accommodation, Food Service Activities, and Hospitality.

Sectoral Productivity – Allocation of FDI Nexus in Bulgaria after the 2008-2009 Global Crisis

Studies of foreign direct investment in Bulgarian economy have had a decades-long history since the beginning of the transition to a market economy. This subject was particularly topical in the early transition period, when foreign investments were expected to be a major driver of the recovery and renewal of Bulgarian economy. Thirty years later, the relevance of this topic has not diminished, given the extraordinary degree of globalization of the world business into which Bulgarian economy must successfully integrate. The main goal of the current study is to present preliminary results of a statistical analysis of the dependence of sectoral labor productivity on the level of foreign direct investment allocated to various sectors of Bulgarian economy. For this purpose, two basic specifications of econometric models are built, adapted for estimation using panel data for the 2008-2019 period. The models are estimated using annual data for the sectors defined in the framework of the International Standard Industrial Classification of economic activities (ISIC-2008). Statistically significant results are obtained on various effects of the sectoral allocation of FDI in Bulgarian economy.

The Potential of Polish Bioeconomy Compared to the European Union Countries

Bioeconomy has become one of the major directions in the development of the European Union (EU). This is a response to global challenges including sustainable management of natural resources, sustainable production, public health improvement, mitigation of adverse effects of climate change, and integrated social and economic development. This article aimed to describe how bioeconomy develops and how significant it is to the European Union and evaluate the potential of bioeconomy in Poland in comparison to other EU member states. The potential of bioeconomy was analysed according to the level and structure of employment, gross value added generated by this sector of the economy, as well as according to labour productivity. The analysis was based on an official classification of economic activity in Europe (NACE). The timeline of the study was 2008 and 2017, which allowed evaluating changes that occurred over a decade. The analysis involved data deriving from the European Commission’s statistical database. The studies imply that in 2017 Poland ranked first in the EU in terms of the number of bioeconomy workers, whereas differences in the structure of employment could be observed between Poland and the whole EU. They mostly referred to a higher share of employment in Polish agriculture, with a lower percentage of employment in the food, beverage and tobacco sector. In addition, Poland had a 5% share in generating the Gross Value Added (GVA) of the EU bioeconomy, which put it fifth among all the member states. The GVA of bioeconomy in Poland had a structure similar to that presented by the whole EU with Food, beverage and tobacco and Agriculture being the most significant sectors and Bio-based electricity and Liquid biofuels being relatively insignificant. In addition, in all the sectors labour productivity was lower than on average in the EU.

FAIR Digital Objects in Official Statistics

FAIR Digital Objects in Official Statistics

Economic analysis of firms in the European film industry through their financial ratios

ABSTRACT Within the field of cultural industries the film sector is immersed in a spiral of changes from two different standpoints. On the one hand, new technologies are revolutionising all the stages of the chain of value in the sector, while on the other, consumers are changing their consumption habits. Together with these changes, the huge turnover in the sector, the number of jobs created, and the industry’s contribution to the Gross Domestic Product (GDP), make it interesting to explore this sector from the standpoint of the financial situation of the firms involved. Taking these premises into account, this study seeks to examine the film industry, specifically the firms included in code 591 in revision 2 of the Statistical Classification of Economic Activities in the European Community, commonly referred to as NACE (from the French term “Nomenclature statistique des Activités économiques dans la Communauté Européenne”), from the perspective of their financial performance. We analyse the main profitability and structural ratios for firms in the present-day 27-country European Union (EU 27) using multivariate statistical techniques for dimension reduction, establishing the key factors inherent in their financial structure and forming homogeneous groups for the various subsectors grouped under code 591. The results highlight the diverse nature of the sector and the differences between the various subsectors.

Formation of the base and the automated system of the data integration about the industry

The expediency of forming the specialized database about industry and the system of their automated collection and usage were justified in this paper. This system allows to provide the information needs of the analysts and the scientists about the problems of industrial development. It provides the automated collection of the information for many countries of the world using any number of sources available as client-server resources on the Internet. The usage of modern data integration algorithms provides a diverse presentation of information, formats for its provision and frequency of updates. In addition, the advanced users of the system are provided with a wide range of options for creating search criteria and data acquisition format. The system is built as a client-server technology and is available for seamless integration with similar systems as a source and storage of information. In order to build a system, the analysis of existing in the world and popular in use statistical databases was carried out, their features, advantages and disadvantages were deаfined. It has been established that most of the existing statistical systems do not provide statistical data for Ukraine, and where they are, there is no detail data by type of economic activity and industry, and especially in industry. In addition, there are certain technical difficulties in working with data for users, the personalization of access is almost non-existent. The possibilities of the integrating existing databases with the systems that use information for modeling and forecasting both in query mode and especially in real time are rather limited. The structure of the statistical database about the development of industry has been formed, the indicators have been selected for its filling. The indicators were distributed by the sectors of the economy (the raw material production sector, the processing sector, the macrostatistics, other sectors). The sectors were disclosed by the key types of economic activity in accordance with the classification of economic activities in 2010 (CEA-2010), providing the predominant part of the creation of the added value of the economy of Ukraine. Each specific type of economic activity is disclosed by groups of industries and industries. In addition, the formation of the statistical database was carried out on the basis of assigning to each of the indicators other characteristics necessary for the automation: code, units of measurement, period, base (distribution of the indicators into the separate groups for the possibility of modeling), source (the statistical bases and sources from which the indicators and the data were collected). The modern relational database was used to store information, which allows solving optimization issues for working with the most powerful, but not yet large data, taking into account the features of wide data, allows horizontal and vertical scaling, including in the PostgreSQL open source database system. The methodology for the formation and the technology for filling the statistical database automatically from a large number of sources, the access mode to which is set by the system configuration parameters has been created. The technology has been developed for data migrations available in flexible formats, including text, in particular Excel. The implementation of the developed automated information system integration of industrial statistics allows you to select the necessary indicators for the analysis of economic processes in industry, use the statistical data collected in a single information space for 130 countries of the world (including Ukraine) for conducting scientific researches, building economic and mathematical models and making managerial

Classification and Roundabout Production in High‐value Agriculture: A Fresh Approach to Industrialization

ABSTRACTDeveloping countries are balance‐of‐payments constrained. In this context, high‐value agricultural exports can make a greater contribution to structural change than development economists and developing country governments have typically acknowledged. This is thanks to dramatic recent changes in agricultural production, consumption and trade. These transformations are obscured by a simple classification system that has not adapted to changing patterns of global capitalist production. This article examines some recent efforts to rethink the basis of economic classification; it contributes to this emerging literature by proposing a way to think about the distinctions among economic activities that builds directly from the observation of production rather than a method of ex‐post mapping of trade data. A more accurate classification of economic activities would, the authors suggest, help policy officials design more coherent and growth‐enhancing industrial policies in support of accelerated structural change and productivity growth. The article draws on primary fieldwork in Ethiopia in particular, but also on fieldwork in South Africa and on secondary evidence.

Russian Spatial Development Strategy: blind spots in regional specialisations

The state “Russian Spatial Development Strategy for the period up to 2025” has not only aroused interest in the scientific community, but has also been the object of criticism on the issues of consistency of the prospective economic specialisations of the constituent entities of the Russian Federation to spatial development objectives. To identify gaps in the content of this strategy, the article compares the economic specialisations of the constituent entities of the Russian Federation with the types of activities described in the “Russian Classification of Economic Activities (OKVED-2) 2021”. The data obtained were compared with the gross value added statistics of the Russian industry structure. The representation of high-tech and knowledge-intensive industries in promising regional economic specialisations was analysed. The results of the study extend the list of criticisms from the Russian scientific community regarding the indicated document. However, a review of foreign studies has shown that the difficulties of strategy development are also inherent in countries with strong planning traditions. An unambiguous conclusion is the need to create a new structure and content document, taking into account the trends in the world and society technological development.

Definition of industrial enterprises development conditions and new approaches to resources using

The article presents an analysis of the conditions required to provide the industrial sustainable development in the digital transformations. A study has been carried out that determines the complementary assets role in modelling the enterprises development management processes operating in the context of ecosystem interactions in order to determine the properties of complementary interactions that contribute to the further value formation as a result of controlled changes in interactions by activity type or by product type. It is proposed to establish interactions by economic activity types presented in the Russian Classification of Economic Activities, which will allow us to determine the maximum possible profitability as a condition of complementarity from the main activity type and additional incoming types. The complementarity signs, which make it possible to achieve the required development and sustainability level in the ecosystem, have been determined.