Abstract Research Background: The COVID-19 pandemic has the capacity of severely disrupting economic activities and triggering economic crisis, especially in Africa’s Oil Exporting Countries (AOECs). The African economy is likely to be the worst hit, especially the Africa Oil Exporting Countries (AOECs), as they have been majorly low income countries and considering the fall in oil prices, as oil revenue forms a major source of their revenue and government expenditure. Purpose: This study explored the stakeholders’ opinions on reshaping and restructuring the economies of six African Oil Exporting Countries, with the aim of ascertaining the views of academics within the six AOECs, as regards the economic revival post COVID-19. Research methodology: The study utilized the Participatory Development Strategy Approach (PDSA), employing the Cronbach Alpha Reliability test, Estimated Response Rate (ERR) and Explanatory Factor Analysis (EFA) to extract opinions from 1,260 stakeholders within the six AOECs. Results: The results show that the stakeholders are of the opinion that the solutions to the rebuilding of AOECs are multi-faceted, suggesting a mixture of both government and private institutions in varying degrees. Some of the respondents favoured going back to agriculture and agribusiness to revamp their economies. Novelty: The study utilized an uncommon methodology; the Participatory Development Strategy Approach (PDSA) to achieve its objective. The PDSA is meant to allow the affected stakeholders’ participation in the policy making process. The respondents were purely academics, as it is believed that academics are the sources of hope of solving myriads of human challenges such as hunger and economic crisis.
{"title":"Restructuring and Reshaping Africa Oil Exporting Countries Post COVID-19 – A Participatory Development Strategy Approach","authors":"Osmond Chigozie Agu, A. Omolade","doi":"10.2478/foli-2022-0016","DOIUrl":"https://doi.org/10.2478/foli-2022-0016","url":null,"abstract":"Abstract Research Background: The COVID-19 pandemic has the capacity of severely disrupting economic activities and triggering economic crisis, especially in Africa’s Oil Exporting Countries (AOECs). The African economy is likely to be the worst hit, especially the Africa Oil Exporting Countries (AOECs), as they have been majorly low income countries and considering the fall in oil prices, as oil revenue forms a major source of their revenue and government expenditure. Purpose: This study explored the stakeholders’ opinions on reshaping and restructuring the economies of six African Oil Exporting Countries, with the aim of ascertaining the views of academics within the six AOECs, as regards the economic revival post COVID-19. Research methodology: The study utilized the Participatory Development Strategy Approach (PDSA), employing the Cronbach Alpha Reliability test, Estimated Response Rate (ERR) and Explanatory Factor Analysis (EFA) to extract opinions from 1,260 stakeholders within the six AOECs. Results: The results show that the stakeholders are of the opinion that the solutions to the rebuilding of AOECs are multi-faceted, suggesting a mixture of both government and private institutions in varying degrees. Some of the respondents favoured going back to agriculture and agribusiness to revamp their economies. Novelty: The study utilized an uncommon methodology; the Participatory Development Strategy Approach (PDSA) to achieve its objective. The PDSA is meant to allow the affected stakeholders’ participation in the policy making process. The respondents were purely academics, as it is believed that academics are the sources of hope of solving myriads of human challenges such as hunger and economic crisis.","PeriodicalId":314664,"journal":{"name":"Folia Oeconomica Stetinensia","volume":"13 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133935297","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}
Abstract Research background: E-commerce is developing rapidly, especially during the Covid19 pandemic. This fact can benefit individuals who want to sell their already used goods. Importantly, for sellers, it is not always a priority to get the highest price, but sometimes it is simply effective to get rid of the goods at a satisfactory price. Purpose: The aim of this article is to analyze the impact of the broadly understood time of the end of the online auction on the success or failure of a sale. Research methodology: In the study, the raw odds ratio was used for the effect of a single variable. Next, the impact of specific variables within the set of risk factors was determined using the logistic regression. Results: Auctions ending in the evening were found to be more than 150% more likely to be successful, while night hours reduced the chance of success by 50%. The day’s most favorable for sales are Monday and Tuesday, the opposite pattern was observed for Wednesday, Thursday and Friday. An interesting relationship was found for the second half of the month, which increased the possibility of selling the goods by over 20%. Novelty: In the literature there are almost none that would focus on the analysis of the possibility of ending the auction with a sale (i.e. success) in the context of the auction end time on the Central European market. This issue is usually discussed on the side and has not been analyzed comprehensively – this paper is a step forward in this direction.
{"title":"Online Auctions End Time and its Impact on Sales Success – Analysis of the Odds Ratio on a Selected Central European Market","authors":"Łukasz Zakonnik, Piotr Czerwonka, R. Zajdel","doi":"10.2478/foli-2022-0029","DOIUrl":"https://doi.org/10.2478/foli-2022-0029","url":null,"abstract":"Abstract Research background: E-commerce is developing rapidly, especially during the Covid19 pandemic. This fact can benefit individuals who want to sell their already used goods. Importantly, for sellers, it is not always a priority to get the highest price, but sometimes it is simply effective to get rid of the goods at a satisfactory price. Purpose: The aim of this article is to analyze the impact of the broadly understood time of the end of the online auction on the success or failure of a sale. Research methodology: In the study, the raw odds ratio was used for the effect of a single variable. Next, the impact of specific variables within the set of risk factors was determined using the logistic regression. Results: Auctions ending in the evening were found to be more than 150% more likely to be successful, while night hours reduced the chance of success by 50%. The day’s most favorable for sales are Monday and Tuesday, the opposite pattern was observed for Wednesday, Thursday and Friday. An interesting relationship was found for the second half of the month, which increased the possibility of selling the goods by over 20%. Novelty: In the literature there are almost none that would focus on the analysis of the possibility of ending the auction with a sale (i.e. success) in the context of the auction end time on the Central European market. This issue is usually discussed on the side and has not been analyzed comprehensively – this paper is a step forward in this direction.","PeriodicalId":314664,"journal":{"name":"Folia Oeconomica Stetinensia","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125031274","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}
Abstract Research background: Interest rate as a stimulus to savings has been discussed by many scholars while ancient scholars kicked against the collection of usury (interest). Developing countries like Nigeria may not be stimulated with the rate of interest because of its insignificant level, which is presently causing financial exclusion against the opponents of interest. Purpose: This study examines whether interest rate really stimulates savings in Nigeria. Research methodology: The study covers the post-liberalization period between 1987 and 2021. The research employs the Vector Autoregressive/Error Correction techniques to analyze the data and make statistical inferences. Results: The results of the show that interest rate (deposit rate) has a positively non-significant effect on savings in Nigeria. On the contrary, the Treasury bill rate, Insecurity and Inflation rate have a significant impact on savings in Nigeria. Novelty: No existing study has been made to investigate if the interest rate (deposit rate) has the ability to stimulate domestic savings in the Nigerian economy. None has included the Insecurity index and none has used the vector autoregressive error correction tools to analyze this inquiry so “Does Interest Rate Really Stimulate Savings in Nigeria?
{"title":"Does Interest Rate Really Stimulate Savings in Nigeria?","authors":"A. Babalola, Abiodun Ibrahim Abdul","doi":"10.2478/foli-2022-0017","DOIUrl":"https://doi.org/10.2478/foli-2022-0017","url":null,"abstract":"Abstract Research background: Interest rate as a stimulus to savings has been discussed by many scholars while ancient scholars kicked against the collection of usury (interest). Developing countries like Nigeria may not be stimulated with the rate of interest because of its insignificant level, which is presently causing financial exclusion against the opponents of interest. Purpose: This study examines whether interest rate really stimulates savings in Nigeria. Research methodology: The study covers the post-liberalization period between 1987 and 2021. The research employs the Vector Autoregressive/Error Correction techniques to analyze the data and make statistical inferences. Results: The results of the show that interest rate (deposit rate) has a positively non-significant effect on savings in Nigeria. On the contrary, the Treasury bill rate, Insecurity and Inflation rate have a significant impact on savings in Nigeria. Novelty: No existing study has been made to investigate if the interest rate (deposit rate) has the ability to stimulate domestic savings in the Nigerian economy. None has included the Insecurity index and none has used the vector autoregressive error correction tools to analyze this inquiry so “Does Interest Rate Really Stimulate Savings in Nigeria?","PeriodicalId":314664,"journal":{"name":"Folia Oeconomica Stetinensia","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127659810","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}
M. Tuncer, Nesrin Akbulut, Miraç Savaş Turhan, Yakup Arı
Abstract Research background: Environmental factors are not adequately addressed in organizational ecology studies. At the same time, it is known that the theory has not received enough attention except for North America, which is the emerging point. Purpose: We aim to examine macroeconomic connectedness between the organizational ecology of transportation and storage firms and macroeconomic variables such as price and production indexes. Research methodology: This paper discusses the relation among the following variables within the framework of macroeconomic connectedness via organizational ecology theory. The variables are FOUNDINGS, DISBANDINGS, TRNSP-CPI, PPI IPI and ENERGY. We use the TVP-VAR based Diebold-Yılmaz Connectedness approach in the analysis of the data. Results: DISBANDING is the net transmitter throughout the entire period. FOUNDING is mainly a net shock receiver during the COVID-19 period and transmitter in other periods. TRANS-CPI and PPI are risk receivers throughout the entire period, and even the shocks they transmit increased in the post-2018 period. ENERGY and IPI are in shock receiver status throughout the entire period. The received shocks of IPI from others have decreased with the effect of the lockdown experienced during the COVID-19 period. Novelty: The investors can hedge against risk by looking at industry production capacity and the number of firm closures, considering the net bilateral link between the indices, and calculating the appropriate time period for establishing a firm. Connectedness indices vary considerably over the sampling period, which indicates that investors must dynamically adjust their position in the industry.
{"title":"Time-Varying Network Connectedness Between the Organizational Ecology of Transportation and Storage Firms and Macroeconomic Variables","authors":"M. Tuncer, Nesrin Akbulut, Miraç Savaş Turhan, Yakup Arı","doi":"10.2478/foli-2022-0027","DOIUrl":"https://doi.org/10.2478/foli-2022-0027","url":null,"abstract":"Abstract Research background: Environmental factors are not adequately addressed in organizational ecology studies. At the same time, it is known that the theory has not received enough attention except for North America, which is the emerging point. Purpose: We aim to examine macroeconomic connectedness between the organizational ecology of transportation and storage firms and macroeconomic variables such as price and production indexes. Research methodology: This paper discusses the relation among the following variables within the framework of macroeconomic connectedness via organizational ecology theory. The variables are FOUNDINGS, DISBANDINGS, TRNSP-CPI, PPI IPI and ENERGY. We use the TVP-VAR based Diebold-Yılmaz Connectedness approach in the analysis of the data. Results: DISBANDING is the net transmitter throughout the entire period. FOUNDING is mainly a net shock receiver during the COVID-19 period and transmitter in other periods. TRANS-CPI and PPI are risk receivers throughout the entire period, and even the shocks they transmit increased in the post-2018 period. ENERGY and IPI are in shock receiver status throughout the entire period. The received shocks of IPI from others have decreased with the effect of the lockdown experienced during the COVID-19 period. Novelty: The investors can hedge against risk by looking at industry production capacity and the number of firm closures, considering the net bilateral link between the indices, and calculating the appropriate time period for establishing a firm. Connectedness indices vary considerably over the sampling period, which indicates that investors must dynamically adjust their position in the industry.","PeriodicalId":314664,"journal":{"name":"Folia Oeconomica Stetinensia","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125285418","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}
Abstract Research background: The contribution of Nigerian companies and personal income taxes to agricultural development must be assessed. Throughout the years, comparable studies have focused on general economic growth rather than a specific facet of the national economy. Agriculture ensures food safety, job creation, and industrialization, which is why government revenue should be reassigned to improve agricultural production. Purpose: The particular goal of this study is to investigate the extent to which corporate and individual income taxes influence agricultural growth in Nigeria. Research methodology: The data set for dependent and independent variables are collected from the Central Bank of Nigeria Statistical Bulletin and OECD accordingly. The reliant variable in the study is government investment in agriculture, while the independent variables are companies and individual income taxes. The data collected for this study is analyzed using a multiple regression analytical approach. Result: At the 1% level of significance, the results of the multiple regression analysis show that personal income tax has a significant and positive influence on agricultural development. Corporate tax does not have a significant impact on agriculture. This outcome could be attributed to the lack of government attention to agriculture as well as other Nigerian factors such as corruption and tax evasion. The research suggests that tax revenue should be collected more effectively and efficiently, and that tax resources be directed more toward sustainable agriculture. Novelty: This study is unique in that it is the first to examine the usefulness and application of corporation and individual income taxes to agricultural finance.
{"title":"The Effects of Corporate and Individual Income Taxes on A gricultural Development in Nigeria","authors":"C. O. Omodero","doi":"10.2478/foli-2022-0024","DOIUrl":"https://doi.org/10.2478/foli-2022-0024","url":null,"abstract":"Abstract Research background: The contribution of Nigerian companies and personal income taxes to agricultural development must be assessed. Throughout the years, comparable studies have focused on general economic growth rather than a specific facet of the national economy. Agriculture ensures food safety, job creation, and industrialization, which is why government revenue should be reassigned to improve agricultural production. Purpose: The particular goal of this study is to investigate the extent to which corporate and individual income taxes influence agricultural growth in Nigeria. Research methodology: The data set for dependent and independent variables are collected from the Central Bank of Nigeria Statistical Bulletin and OECD accordingly. The reliant variable in the study is government investment in agriculture, while the independent variables are companies and individual income taxes. The data collected for this study is analyzed using a multiple regression analytical approach. Result: At the 1% level of significance, the results of the multiple regression analysis show that personal income tax has a significant and positive influence on agricultural development. Corporate tax does not have a significant impact on agriculture. This outcome could be attributed to the lack of government attention to agriculture as well as other Nigerian factors such as corruption and tax evasion. The research suggests that tax revenue should be collected more effectively and efficiently, and that tax resources be directed more toward sustainable agriculture. Novelty: This study is unique in that it is the first to examine the usefulness and application of corporation and individual income taxes to agricultural finance.","PeriodicalId":314664,"journal":{"name":"Folia Oeconomica Stetinensia","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133680438","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}
Abstract Research background: The relationship between the economy and the environment is one of the most frequently encountered issues recently. Today the issue of environmental sustainability is one of the problems faced by countries. Purpose: This study, it is aimed at investigating the relationship between economic and environmental variables. Research methodology: The existence of the environmental Kuznets curve theory, in other words, the inverted U-connection between per capita carbon dioxide emissions, per capita ecological footprint, and per capita GDP in the examples of 10 developing countries is examined. We analyzed annual balanced panel data covering the period 1992–2014 for an inverted U-link between carbon dioxide emissions and ecological footprint and per capita GDP. Westerlund’s cointegration test was applied as a cointegration test. The Common Correlated Effects Mean Group (CCEMG) and Augment Mean Group (AMG) estimator methods were applied for long-term parameter estimation. The Dumitrescu and Hurlin causality test was applied to determine the causal connections. Results: As a result of the study, a positive and significant effect of electricity consumption on carbon dioxide emission was determined in the long term in the model where the ecological footprint is the dependent variable. In the environmental Kuznets curve hypothesis, an inverted U-shaped relationship was determined. That is, the results confirming the existence of the environmental Kuznets curve have been determined. Finally, bidirectional causal links between carbon emissions and economic growth, between carbon dioxide emissions and the square of economic growth, and between carbon dioxide emissions and electricity consumption; It is observed between the ecological footprint and economic growth, between the ecological footprint and the square of economic growth, and between the ecological footprint and electricity consumption. It is expected that this article will make a significant contribution to the literature with the important results obtained by using both an ecological footprint and carbon dioxide emission as dependent variables. Novelty: In this study, unlike other studies, two models were created with both CO2 emissions and the ecological footprint data as environmental variables.
{"title":"Panel Estimation of the Environmental Kuznets Curve for CO2 Emissions and Ecological Footprint: Environmental Sustainability in Developing Countries","authors":"Sevilay Konya","doi":"10.2478/foli-2022-0022","DOIUrl":"https://doi.org/10.2478/foli-2022-0022","url":null,"abstract":"Abstract Research background: The relationship between the economy and the environment is one of the most frequently encountered issues recently. Today the issue of environmental sustainability is one of the problems faced by countries. Purpose: This study, it is aimed at investigating the relationship between economic and environmental variables. Research methodology: The existence of the environmental Kuznets curve theory, in other words, the inverted U-connection between per capita carbon dioxide emissions, per capita ecological footprint, and per capita GDP in the examples of 10 developing countries is examined. We analyzed annual balanced panel data covering the period 1992–2014 for an inverted U-link between carbon dioxide emissions and ecological footprint and per capita GDP. Westerlund’s cointegration test was applied as a cointegration test. The Common Correlated Effects Mean Group (CCEMG) and Augment Mean Group (AMG) estimator methods were applied for long-term parameter estimation. The Dumitrescu and Hurlin causality test was applied to determine the causal connections. Results: As a result of the study, a positive and significant effect of electricity consumption on carbon dioxide emission was determined in the long term in the model where the ecological footprint is the dependent variable. In the environmental Kuznets curve hypothesis, an inverted U-shaped relationship was determined. That is, the results confirming the existence of the environmental Kuznets curve have been determined. Finally, bidirectional causal links between carbon emissions and economic growth, between carbon dioxide emissions and the square of economic growth, and between carbon dioxide emissions and electricity consumption; It is observed between the ecological footprint and economic growth, between the ecological footprint and the square of economic growth, and between the ecological footprint and electricity consumption. It is expected that this article will make a significant contribution to the literature with the important results obtained by using both an ecological footprint and carbon dioxide emission as dependent variables. Novelty: In this study, unlike other studies, two models were created with both CO2 emissions and the ecological footprint data as environmental variables.","PeriodicalId":314664,"journal":{"name":"Folia Oeconomica Stetinensia","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127579017","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}
Abstract Research background: The European Green deal set by the European Commission has launched new business models in sustainable development. Major contributions are expected in the road transport sector; as far as conventional internal combustion creates significant input in Green House Gas emission inventories. Each EU member state has an obligation to reduce GhG emission by accelerating Electric Vehicle development. In order to foster growth of EVs, there is the need of significant investment into charging infrastructures. The article propose the model of forecasting of investment based on the forecast of the growth of the amount of electric vehicles and their demand on energy. The model includes the behaviouristic approach based on the total cost of ownership model as well as calculations of efficient usage of EV charging points. The model takes into account all types of vehicles including personal and commercial, freight and passenger. Purpose: The aim of this article is to present a complex model for forecasting the required investments based on the fore-cast of the increase in the number of electric vehicles and their demand on energy and investments. Research methodology: The general algorithm of forecasting consists of several consecutive phases: (1) Forecasting the number of electric vehicles, (2) Forecasting the energy needed for electric vehicles, based on the forecast (1) and the predicted usage level of these vehicles. (3) Forecasting the charging station number with the expected technical capacities and characteristics of these charging stations based on the forecasts (1) and (2). (4) Forecasting the need to upgrade the low-voltage grid based on the forecast (3). (5) Calculating the total investment needed based on the results of the forecasts (3) and (4). The main limitations of the study are related to the statistics available for modelling and human behaviour uncertainty, especially in the evaluation impact of measures to foster use of electric vehicles. Results: The findings of the Lithuanian case analysis, which is expressed in three scenarios, focuses on two trends. The most promising scenario projects 319,470 electric vehicles by 2030 which will demand for 1.09 TWh of electricity, representing 8.4–9.9 percent of the total energy consumption in the country. It requires EUR 230, million in the low-voltage grid and EUR 209, million in the charging stations. Novelty: The scientific problem is that the current approach on the forecasting of electric vehicles is too abstract, forecast models cannot be transferred from country to country. This article proposes a model of forecasting investments based on the forecast of the increase in the number of electric vehicles and their demand on energy. The model includes the behaviouristic approach based on the total cost of ownership model as well as calculations of efficient usage of EV charging points. The model takes into account all types of vehicles including personal and commerci
{"title":"European Green Deal Implications on Country Level Energy Consumption","authors":"A. Jaržemskis, Ilona Jaržemskienė","doi":"10.2478/foli-2022-0021","DOIUrl":"https://doi.org/10.2478/foli-2022-0021","url":null,"abstract":"Abstract Research background: The European Green deal set by the European Commission has launched new business models in sustainable development. Major contributions are expected in the road transport sector; as far as conventional internal combustion creates significant input in Green House Gas emission inventories. Each EU member state has an obligation to reduce GhG emission by accelerating Electric Vehicle development. In order to foster growth of EVs, there is the need of significant investment into charging infrastructures. The article propose the model of forecasting of investment based on the forecast of the growth of the amount of electric vehicles and their demand on energy. The model includes the behaviouristic approach based on the total cost of ownership model as well as calculations of efficient usage of EV charging points. The model takes into account all types of vehicles including personal and commercial, freight and passenger. Purpose: The aim of this article is to present a complex model for forecasting the required investments based on the fore-cast of the increase in the number of electric vehicles and their demand on energy and investments. Research methodology: The general algorithm of forecasting consists of several consecutive phases: (1) Forecasting the number of electric vehicles, (2) Forecasting the energy needed for electric vehicles, based on the forecast (1) and the predicted usage level of these vehicles. (3) Forecasting the charging station number with the expected technical capacities and characteristics of these charging stations based on the forecasts (1) and (2). (4) Forecasting the need to upgrade the low-voltage grid based on the forecast (3). (5) Calculating the total investment needed based on the results of the forecasts (3) and (4). The main limitations of the study are related to the statistics available for modelling and human behaviour uncertainty, especially in the evaluation impact of measures to foster use of electric vehicles. Results: The findings of the Lithuanian case analysis, which is expressed in three scenarios, focuses on two trends. The most promising scenario projects 319,470 electric vehicles by 2030 which will demand for 1.09 TWh of electricity, representing 8.4–9.9 percent of the total energy consumption in the country. It requires EUR 230, million in the low-voltage grid and EUR 209, million in the charging stations. Novelty: The scientific problem is that the current approach on the forecasting of electric vehicles is too abstract, forecast models cannot be transferred from country to country. This article proposes a model of forecasting investments based on the forecast of the increase in the number of electric vehicles and their demand on energy. The model includes the behaviouristic approach based on the total cost of ownership model as well as calculations of efficient usage of EV charging points. The model takes into account all types of vehicles including personal and commerci","PeriodicalId":314664,"journal":{"name":"Folia Oeconomica Stetinensia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130937096","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}
Abstract Research background: Assessment of the positive and negative aspects of the concentration of agricultural production in Ukraine, including in the form of agricultural holdings, is very dynamic due to the dynamic macroeconomic conditions of doing business here. Purpose: The goal of the article is to present the results of research and an assessment of the consequences of the concentration of agricultural production in Ukraine through indicators of changes in the size and efficiency of agricultural enterprises. Research methodology: The research methodology is based on the general dialectic approach and includes the following methods: induction, monographic, graphical, grouping, analysis of dynamic series, and formalization of calculation algorithms. Results: Regularities of influence of the sizes of the agrarian enterprises on the efficiency of their functioning are revealed. The study showed that the concentration of production creates a number of strengths in agricultural production in the country as a whole which helps to solve certain social problems. However, the concentration of agricultural production does not increase the economic efficiency of enterprises. Novelty: The assessment of the consequences of large agricultural enterprises in Ukraine and the activities of agricultural holding companies has been differentiated. Previously made conclusions of other researchers on the consequences of the concentration in agricultural production has been clarified.
{"title":"Economic and Social Consequences of the Concentration of Production in Agricultural Enterprises in Ukraine","authors":"I. Yatsiv, H. Cherevko","doi":"10.2478/foli-2022-0028","DOIUrl":"https://doi.org/10.2478/foli-2022-0028","url":null,"abstract":"Abstract Research background: Assessment of the positive and negative aspects of the concentration of agricultural production in Ukraine, including in the form of agricultural holdings, is very dynamic due to the dynamic macroeconomic conditions of doing business here. Purpose: The goal of the article is to present the results of research and an assessment of the consequences of the concentration of agricultural production in Ukraine through indicators of changes in the size and efficiency of agricultural enterprises. Research methodology: The research methodology is based on the general dialectic approach and includes the following methods: induction, monographic, graphical, grouping, analysis of dynamic series, and formalization of calculation algorithms. Results: Regularities of influence of the sizes of the agrarian enterprises on the efficiency of their functioning are revealed. The study showed that the concentration of production creates a number of strengths in agricultural production in the country as a whole which helps to solve certain social problems. However, the concentration of agricultural production does not increase the economic efficiency of enterprises. Novelty: The assessment of the consequences of large agricultural enterprises in Ukraine and the activities of agricultural holding companies has been differentiated. Previously made conclusions of other researchers on the consequences of the concentration in agricultural production has been clarified.","PeriodicalId":314664,"journal":{"name":"Folia Oeconomica Stetinensia","volume":"2677 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123084503","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}
Abstract Research background: Food production financing in Nigeria has been a source of concern for many years, causing the entire country to experience intense food insecurity as a direct consequence of entirely unnecessary insensitivity to what is needful at a time. This research took all of these misgivings into consideration and aims to figure out the degree to which direct taxes could alleviate this pressure by earmarking more direct tax receipts to farming activities. Purpose: The major and particular objective of this study is to investigate the effect of direct taxation on agricultural financing in Nigeria. For this research, direct taxes such as the hydrocarbon tax, taxable income of individuals, and corporate income tax are used. Research methodology: The evaluation is carried out by collecting secondary data from the Organization for Economic Cooperation and Development (OECD) on selected direct taxes and agricultural outlay from the Central Bank of Nigeria’s Statistical Bulletin. The study runs from 2012 to 2021. The research utilizes a multiple regression strategy. Result: The findings demonstrate that all of the direct tax types examined have a negligible impact on agricultural funding. This leads to the suggestion that Nigerian tax rules be modified to allow for a significant use of tax revenue for agriculture. Novelty: Investigations on agricultural financing through tax receipts have been scarce. This study adds to the small amount of literature in this area and has empirically established the need for an emerging nation to have a tax system that will meet the investment requirements of agricultural productivity.
{"title":"Direct Taxes and Agricultural Finance","authors":"C. Omodero, Opeyemi Ajetumobi","doi":"10.2478/foli-2022-0025","DOIUrl":"https://doi.org/10.2478/foli-2022-0025","url":null,"abstract":"Abstract Research background: Food production financing in Nigeria has been a source of concern for many years, causing the entire country to experience intense food insecurity as a direct consequence of entirely unnecessary insensitivity to what is needful at a time. This research took all of these misgivings into consideration and aims to figure out the degree to which direct taxes could alleviate this pressure by earmarking more direct tax receipts to farming activities. Purpose: The major and particular objective of this study is to investigate the effect of direct taxation on agricultural financing in Nigeria. For this research, direct taxes such as the hydrocarbon tax, taxable income of individuals, and corporate income tax are used. Research methodology: The evaluation is carried out by collecting secondary data from the Organization for Economic Cooperation and Development (OECD) on selected direct taxes and agricultural outlay from the Central Bank of Nigeria’s Statistical Bulletin. The study runs from 2012 to 2021. The research utilizes a multiple regression strategy. Result: The findings demonstrate that all of the direct tax types examined have a negligible impact on agricultural funding. This leads to the suggestion that Nigerian tax rules be modified to allow for a significant use of tax revenue for agriculture. Novelty: Investigations on agricultural financing through tax receipts have been scarce. This study adds to the small amount of literature in this area and has empirically established the need for an emerging nation to have a tax system that will meet the investment requirements of agricultural productivity.","PeriodicalId":314664,"journal":{"name":"Folia Oeconomica Stetinensia","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133209972","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}
Abstract Research background: In the era of the COVID-19 pandemic, the tendency of bank customers to use mobile banking is increasing. This is primarily due to the perceived ease and benefits of its use and the subjective assessment of the level of security of such a system. The main goal will therefore be to create such a mobile banking system, which in the era of pandemics, in addition to an easy-to-use interface, will also offer increasingly advanced technological solutions that will provide the customer with a high level of security. In order to meet the expectations of customers, banks will continue to develop and improve the most popular channels of distribution of their services, which are undoubtedly payment cards. Purpose: The purpose of this article is to define and classify non-cash payment instruments on the Polish banking services market in the COVID-19 pandemic era. Research methodology: To examine the current situation prevailing in the payment card market, as well as the factors determining the development of non-cash payments and the direction of future changes in the COVID-19 pandemic era. The research used models of development tendency (trend), and then applied them to forecast changes that will take place on the payment cards market in Poland at the end of 2021 and in 2022. The analysis was carried out using the STATISTICA 13.3 program. Results: a payment card is one of the best options for obtaining cash and every year the traditional cash in the wallet is being displaced more and more by “plastic money”. Novelty: Furthermore, technological advances will bring new solutions to the payment card market and at the same time the e-money market will develop.
{"title":"Development of the Payment Cards Market in Poland in the Era of the Covid-19 Pandemic","authors":"Anna Feruś","doi":"10.2478/foli-2022-0003","DOIUrl":"https://doi.org/10.2478/foli-2022-0003","url":null,"abstract":"Abstract Research background: In the era of the COVID-19 pandemic, the tendency of bank customers to use mobile banking is increasing. This is primarily due to the perceived ease and benefits of its use and the subjective assessment of the level of security of such a system. The main goal will therefore be to create such a mobile banking system, which in the era of pandemics, in addition to an easy-to-use interface, will also offer increasingly advanced technological solutions that will provide the customer with a high level of security. In order to meet the expectations of customers, banks will continue to develop and improve the most popular channels of distribution of their services, which are undoubtedly payment cards. Purpose: The purpose of this article is to define and classify non-cash payment instruments on the Polish banking services market in the COVID-19 pandemic era. Research methodology: To examine the current situation prevailing in the payment card market, as well as the factors determining the development of non-cash payments and the direction of future changes in the COVID-19 pandemic era. The research used models of development tendency (trend), and then applied them to forecast changes that will take place on the payment cards market in Poland at the end of 2021 and in 2022. The analysis was carried out using the STATISTICA 13.3 program. Results: a payment card is one of the best options for obtaining cash and every year the traditional cash in the wallet is being displaced more and more by “plastic money”. Novelty: Furthermore, technological advances will bring new solutions to the payment card market and at the same time the e-money market will develop.","PeriodicalId":314664,"journal":{"name":"Folia Oeconomica Stetinensia","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117127050","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}
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