José Manuel Santos-Jaén, Gema Martín de Almagro-Vázquez, María del Carmen Valls Martínez
Research background: Audits are intended to ensure the reliability of financial statements, as this is fundamental for different stakeholders. However, both auditor tenure and audit fees could affect the earnings management of companies. In 2014, the European Union established a mandatory audit firm rotation policy. In the United States, although there is still no mandatory regulation in this regard, there has been a large public debate over the advisability of this policy. Another unresolved controversy is whether audit fees determine audit quality. Purpose of the article: The aim of this research is to study the effect of auditor tenure and audit fees on earnings management, i.e., to determine whether a longer-term relationship between the auditor and the audited company, as well as higher audit fees, reduce the audited company's earnings management, thereby making the financial statements more reliable for stakeholders and increasing the quality of the audit report. In addition, the Big Four auditing companies in the United States were analyzed in order to determine the influence of corporate culture. Methods: A sample of companies listed in the S&P 500 stock market index was employed for the analysis, covering the years 2012 to 2021, resulting in a dataset comprising 3,010 observations. To examine the research hypotheses while mitigating the potential bias from omitted variables, a linear regression analysis was conducted using panel data with fixed effects regression. To enhance the robustness of the results, winsorized variables were also employed. Findings & value added: Overall, the results confirm that the quality of financial statements improves as auditor tenure increases, and so implementing a mandatory auditor rotation may not be in a company’s best interests. The results also support the market segmentation theory, as higher audit fees are aligned with higher quality financial reporting. Furthermore, by analyzing the Big Four audit companies in the US, it is shown that the influence of audit fees and auditor tenure on earnings management also depends on the internal aspects of the particular audit firm, especially its ethical culture. In sum, US policymakers should neither set limits on audit fees nor enforce a mandatory audit firm rotation similar to that of the EU.
{"title":"Is earnings management impacted by audit fees and auditor tenure? An analysis of the Big Four audit firms in the US market","authors":"José Manuel Santos-Jaén, Gema Martín de Almagro-Vázquez, María del Carmen Valls Martínez","doi":"10.24136/oc.2023.027","DOIUrl":"https://doi.org/10.24136/oc.2023.027","url":null,"abstract":"Research background: Audits are intended to ensure the reliability of financial statements, as this is fundamental for different stakeholders. However, both auditor tenure and audit fees could affect the earnings management of companies. In 2014, the European Union established a mandatory audit firm rotation policy. In the United States, although there is still no mandatory regulation in this regard, there has been a large public debate over the advisability of this policy. Another unresolved controversy is whether audit fees determine audit quality. Purpose of the article: The aim of this research is to study the effect of auditor tenure and audit fees on earnings management, i.e., to determine whether a longer-term relationship between the auditor and the audited company, as well as higher audit fees, reduce the audited company's earnings management, thereby making the financial statements more reliable for stakeholders and increasing the quality of the audit report. In addition, the Big Four auditing companies in the United States were analyzed in order to determine the influence of corporate culture. Methods: A sample of companies listed in the S&P 500 stock market index was employed for the analysis, covering the years 2012 to 2021, resulting in a dataset comprising 3,010 observations. To examine the research hypotheses while mitigating the potential bias from omitted variables, a linear regression analysis was conducted using panel data with fixed effects regression. To enhance the robustness of the results, winsorized variables were also employed. Findings & value added: Overall, the results confirm that the quality of financial statements improves as auditor tenure increases, and so implementing a mandatory auditor rotation may not be in a company’s best interests. The results also support the market segmentation theory, as higher audit fees are aligned with higher quality financial reporting. Furthermore, by analyzing the Big Four audit companies in the US, it is shown that the influence of audit fees and auditor tenure on earnings management also depends on the internal aspects of the particular audit firm, especially its ethical culture. In sum, US policymakers should neither set limits on audit fees nor enforce a mandatory audit firm rotation similar to that of the EU.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136158356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Research background: The post-World Financial Crisis period has showed us that an application of the qualitative data focused on the expectations of the enterprises and consumers in a combination with the quantitative data in the individual economy sectors is a good prerequisite for reliable prediction of the economic cycles. Purpose of the paper: The main goal of the presented study was to test the ESI prediction capabilities and its components in a relation to the economic cycles of the EU countries in the individual time periods. Methods: The time series for the period Q1 2000 to Q4 2022 and the three selected time periods were a subject to undergo the selection of the cyclical component applying the Hodrick-Prescott filter and then, the relationship between the variables was determined employing the Pearson correlation coefficient with the time shifts. The relation of ESI and its components to GDP and the Index of Industrial Production (IIP), which represent the economic cycle, was analysed. The prediction volume and the cross-correlation values determined the nature of the observed cyclical variables. Findings & value added: The results of the analysis point to the fact that ESI and its components are able to ensure a high-quality prediction of the economic cycle only in the selected EU countries. Regarding the components of the ESI, the Consumer confidence indicator, Construction and Industrial confidence indicators show the best predictive capabilities. The analytical outcomes show that the ESI size and lead period vary over time and after the 2008 crisis, the ESI showed better predictive capabilities in a relation to GDP and IIP than before the crisis. The Covid 19 pandemic had a significant negative impact on the ESI predictive capabilities.
{"title":"Economic sentiment indicators and their prediction capabilities in business cycles of EU countries","authors":"Andrea Tkacova, Beata Gavurova","doi":"10.24136/oc.2023.029","DOIUrl":"https://doi.org/10.24136/oc.2023.029","url":null,"abstract":"Research background: The post-World Financial Crisis period has showed us that an application of the qualitative data focused on the expectations of the enterprises and consumers in a combination with the quantitative data in the individual economy sectors is a good prerequisite for reliable prediction of the economic cycles. Purpose of the paper: The main goal of the presented study was to test the ESI prediction capabilities and its components in a relation to the economic cycles of the EU countries in the individual time periods. Methods: The time series for the period Q1 2000 to Q4 2022 and the three selected time periods were a subject to undergo the selection of the cyclical component applying the Hodrick-Prescott filter and then, the relationship between the variables was determined employing the Pearson correlation coefficient with the time shifts. The relation of ESI and its components to GDP and the Index of Industrial Production (IIP), which represent the economic cycle, was analysed. The prediction volume and the cross-correlation values determined the nature of the observed cyclical variables. Findings & value added: The results of the analysis point to the fact that ESI and its components are able to ensure a high-quality prediction of the economic cycle only in the selected EU countries. Regarding the components of the ESI, the Consumer confidence indicator, Construction and Industrial confidence indicators show the best predictive capabilities. The analytical outcomes show that the ESI size and lead period vary over time and after the 2008 crisis, the ESI showed better predictive capabilities in a relation to GDP and IIP than before the crisis. The Covid 19 pandemic had a significant negative impact on the ESI predictive capabilities.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135082627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Research background: In order to tackle climate change and ensure Paris agreements are met, countries are forced to look for alternative ways of producing, consuming, and wasting and adopt a circular economy. Reduction of greenhouse gas emissions becomes one of the key elements. The demand for electricity is increasing, and most greenhouse gas emissions derive from the energy sector. Because of that, it is crucial to ensure the transition from fossil fuels to renewable energy. Renewable energy, as a part of the circular economy, also contributes to sustainable development. Only the efficient implementation of circular economy and renewable energy practices can ensure that sustainable development goals are achieved. Purpose of the article: The study aims at determining the efficiency of European Union countries implementing circular economy practices through renewable energy to attain SDGs. The study focuses on the significance of renewable energy as a tool for the circular economy to achieve sustainable development and highlights the progress achieved in SDG through renewable energy in the EU. Methods: For efficiency assessment of the circular economy represented by the renewable energy indicators, data envelopment analysis (DEA) was performed. Findings & value added: This study presents a relation analysis of the circular economy and renewable energy and the importance of efficiency in achieving SDGs through a circular economy. The study helps to understand the circular economy represented by renewable energy and how it transforms into sustainable development and contributes to necessary actions needed for countries to improve. Based on the results, Sweden, Luxembourg, Ireland, Latvia, Estonia, Malta, the Netherlands and Bulgaria are considered the most efficient countries, while Austria is the least efficient. Unused solar and wind power potential can slow down sustainable development; however, EU programs and renewable energy strategies help countries move towards clean energy and ensure efficient implementation of sustainable development goals.
{"title":"Circular economy practices as a tool for sustainable development in the context of renewable energy: What are the opportunities for the EU?","authors":"Ugnius Jakubelskas, Viktorija Skvarciany","doi":"10.24136/oc.2023.025","DOIUrl":"https://doi.org/10.24136/oc.2023.025","url":null,"abstract":"Research background: In order to tackle climate change and ensure Paris agreements are met, countries are forced to look for alternative ways of producing, consuming, and wasting and adopt a circular economy. Reduction of greenhouse gas emissions becomes one of the key elements. The demand for electricity is increasing, and most greenhouse gas emissions derive from the energy sector. Because of that, it is crucial to ensure the transition from fossil fuels to renewable energy. Renewable energy, as a part of the circular economy, also contributes to sustainable development. Only the efficient implementation of circular economy and renewable energy practices can ensure that sustainable development goals are achieved. Purpose of the article: The study aims at determining the efficiency of European Union countries implementing circular economy practices through renewable energy to attain SDGs. The study focuses on the significance of renewable energy as a tool for the circular economy to achieve sustainable development and highlights the progress achieved in SDG through renewable energy in the EU. Methods: For efficiency assessment of the circular economy represented by the renewable energy indicators, data envelopment analysis (DEA) was performed. Findings & value added: This study presents a relation analysis of the circular economy and renewable energy and the importance of efficiency in achieving SDGs through a circular economy. The study helps to understand the circular economy represented by renewable energy and how it transforms into sustainable development and contributes to necessary actions needed for countries to improve. Based on the results, Sweden, Luxembourg, Ireland, Latvia, Estonia, Malta, the Netherlands and Bulgaria are considered the most efficient countries, while Austria is the least efficient. Unused solar and wind power potential can slow down sustainable development; however, EU programs and renewable energy strategies help countries move towards clean energy and ensure efficient implementation of sustainable development goals.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135082621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Romana Emilia Cramarenco, Monica Ioana Burcă-Voicu, Dan Cristian Dabija
Research background: This article discusses how artificial intelligence (AI) is affecting workers' personal and professional lives, because of many technological disruptions driven by the recent pandemic that are redefining global labor markets. Purpose of the article: The objective of this paper is to develop a systematic review of the relevant literature to identify the effects of technological change, especially the adoption of AI in organizations, on employees’ skills (professional dimension) and well-being (personal dimension). Methods: To implement the research scope, the authors relied on Khan's five-step methodology, which included a PRISMA flowchart with embedded keywords for selecting the appropriate quantitative data for the study. Firstly, 639 scientific papers published between March 2020 to March 2023 (the end of the COVID-19 pandemic according to the WHO) from Scopus and Web of Science (WoS) databases were selected. After applying the relevant procedures and techniques, 103 articles were retained, which focused on the professional dimension, while 35 papers were focused on the personal component. Findings & value added: Evidence has been presented highlighting the difficulties associated with the ongoing requirement for upskilling or reskilling as an adaptive reaction to technological changes. The efforts to counterbalance the skill mismatch impacted employees' well-being in the challenging pandemic times. Although the emphasis on digital skills is widely accepted, our investigation shows that the topic is still not properly developed. The paper's most significant contributions are found in a thorough analysis of how AI affects workers' skills and well-being, highlighting the most representative aspects researched by academic literature due to the recent paradigm changes generated by the COVID-19 pandemic and continuous technological disruptions.
研究背景:本文讨论了人工智能(AI)如何影响工人的个人和职业生活，因为最近的大流行导致了许多技术中断，正在重新定义全球劳动力市场。本文目的:本文的目的是对相关文献进行系统回顾，以确定技术变革，特别是组织中采用人工智能对员工技能(专业维度)和福祉(个人维度)的影响。方法:为了实现研究范围，作者依靠Khan的五步方法学，其中包括一个带有嵌入关键词的PRISMA流程图，用于选择适当的定量数据进行研究。首先，从Scopus和Web of Science (WoS)数据库中选取2020年3月至2023年3月(世界卫生组织认为2019冠状病毒病大流行结束)发表的639篇科学论文。应用相关程序和技术后，保留了103篇论文，主要集中在专业维度，35篇论文集中在个人部分。的发现,附加值:已有证据表明，作为对技术变革的适应性反应，不断要求提高技能或再培训存在困难。在具有挑战性的大流行时期，平衡技能不匹配的努力影响了员工的福祉。尽管对数字技能的重视已被广泛接受，但我们的调查显示，这一主题仍未得到适当的发展。该论文最重要的贡献在于全面分析了人工智能如何影响工人的技能和福祉，突出了学术文献研究中最具代表性的方面，这是由于最近新冠肺炎大流行和持续的技术中断造成的范式变化。
{"title":"The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review","authors":"Romana Emilia Cramarenco, Monica Ioana Burcă-Voicu, Dan Cristian Dabija","doi":"10.24136/oc.2023.022","DOIUrl":"https://doi.org/10.24136/oc.2023.022","url":null,"abstract":"Research background: This article discusses how artificial intelligence (AI) is affecting workers' personal and professional lives, because of many technological disruptions driven by the recent pandemic that are redefining global labor markets.\u0000Purpose of the article: The objective of this paper is to develop a systematic review of the relevant literature to identify the effects of technological change, especially the adoption of AI in organizations, on employees’ skills (professional dimension) and well-being (personal dimension).\u0000Methods: To implement the research scope, the authors relied on Khan's five-step methodology, which included a PRISMA flowchart with embedded keywords for selecting the appropriate quantitative data for the study. Firstly, 639 scientific papers published between March 2020 to March 2023 (the end of the COVID-19 pandemic according to the WHO) from Scopus and Web of Science (WoS) databases were selected. After applying the relevant procedures and techniques, 103 articles were retained, which focused on the professional dimension, while 35 papers were focused on the personal component.\u0000Findings & value added: Evidence has been presented highlighting the difficulties associated with the ongoing requirement for upskilling or reskilling as an adaptive reaction to technological changes. The efforts to counterbalance the skill mismatch impacted employees' well-being in the challenging pandemic times. Although the emphasis on digital skills is widely accepted, our investigation shows that the topic is still not properly developed. The paper's most significant contributions are found in a thorough analysis of how AI affects workers' skills and well-being, highlighting the most representative aspects researched by academic literature due to the recent paradigm changes generated by the COVID-19 pandemic and continuous technological disruptions.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135082623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yilmaz Bayar, Marius Dan Gavriletea, Rita Remeikienė
Research background: Tourism sector is considered as a driving force of economic development and understanding factors that deter the flow of tourists and hinder its development, which is essential for all actors involved in this industry. Purpose of the article: The purpose of the article is to investigate the impact of rule of law, corruption, and terrorism on tourism in 14 coastal states of the Mediterranean Sea based on the United Nations classification. Methods: The short and long-run relationships among the rule of law, corruption, terrorism and tourism are respectively analyzed through Dumitrescu and Hurlin causality test and LM bootstrap cointegration test taking notice of the presence of heterogeneity and cross-sectional dependence. Findings & value added: The causality analysis reveals that control of corruption has a significant influence on tourism only in the short run. The cointegration analysis uncovers that terrorism negatively affects the tourism in Albania, Algeria, Egypt, and Tunisia, but improvements in corruption also positively affect the tourism in Albania, Algeria, Bosnia and Herzegovina, Greece and Italy. Last, the rule of law has a positive impact on tourism in Egypt, Greece, and Israel. In this context, the rule of law can also be a key factor for tourism development via combat with corruption and terrorism. Based on some unique characteristics, the Mediterranean region has consolidated its position as the world's leading tourist destination, but to maintain this competitive position, it is crucial to recognize and adopt strategies that respond to all key challenges faced by this sector.
{"title":"Impact of the rule of law, corruption and terrorism on tourism: Empirical evidence from Mediterranean countries","authors":"Yilmaz Bayar, Marius Dan Gavriletea, Rita Remeikienė","doi":"10.24136/oc.2023.02930","DOIUrl":"https://doi.org/10.24136/oc.2023.02930","url":null,"abstract":"Research background: Tourism sector is considered as a driving force of economic development and understanding factors that deter the flow of tourists and hinder its development, which is essential for all actors involved in this industry. Purpose of the article: The purpose of the article is to investigate the impact of rule of law, corruption, and terrorism on tourism in 14 coastal states of the Mediterranean Sea based on the United Nations classification. Methods: The short and long-run relationships among the rule of law, corruption, terrorism and tourism are respectively analyzed through Dumitrescu and Hurlin causality test and LM bootstrap cointegration test taking notice of the presence of heterogeneity and cross-sectional dependence. Findings & value added: The causality analysis reveals that control of corruption has a significant influence on tourism only in the short run. The cointegration analysis uncovers that terrorism negatively affects the tourism in Albania, Algeria, Egypt, and Tunisia, but improvements in corruption also positively affect the tourism in Albania, Algeria, Bosnia and Herzegovina, Greece and Italy. Last, the rule of law has a positive impact on tourism in Egypt, Greece, and Israel. In this context, the rule of law can also be a key factor for tourism development via combat with corruption and terrorism. Based on some unique characteristics, the Mediterranean region has consolidated its position as the world's leading tourist destination, but to maintain this competitive position, it is crucial to recognize and adopt strategies that respond to all key challenges faced by this sector.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135083034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gazi Salah Uddin, Chowdhury Abdullah-Al-Baki, Park Donghyun, Ali Ahmed, Tian Shu
Research background: The Bangladeshi government has set a plan to generate one-tenth of its electricity from solar and other renewable sources by 2030. Solar adoption surged in Bangladesh up until 2015, setting a global precedent for electrifying areas that were previously unconnected. The enhanced lighting offered by solar systems provides immediate benefits, including additional hours for household and business activities and extended study hours for school-going children. Purpose of the article: This study seeks to identify the determinants and welfare gains of solar adoption in rural areas by analysing three rounds of the Bangladesh Integrated Household Survey from 2011–12, 2015, and 2018–19. In addition to presenting new estimates of economic, environmental, and educational welfare gains, our research offers insights into how solar adoption relates to rural employment and the nutrition of children under five. Methods: We utilized both ordinary least squares and propensity score matching techniques to estimate the welfare effects of solar adoption. Only households that do not use electricity as their primary lighting source, such as those relying on solar or kerosene, are considered in our sample. Findings & value added: We have discovered that adopting solar is linked to higher income, increased expenditure, and growth in asset value. Additionally, there is a significant reduction in kerosene expenditure among adopters compared to non-adopters. Other observations reveal that households with solar setups tend to transition from sharecropping to trading and poultry farming. Children in these households also benefit from solar adoption in terms of education and nutrition. This study illustrates how solar energy can effectively address various welfare concerns in areas where the government cannot supply electricity. Given that recent global events have rendered underdeveloped countries more vulnerable to providing consistent electricity to their entire populations, this research suggests solar energy as a resilient electrification solution during crises.
{"title":"Social benefits of solar energy: Evidence from Bangladesh","authors":"Gazi Salah Uddin, Chowdhury Abdullah-Al-Baki, Park Donghyun, Ali Ahmed, Tian Shu","doi":"10.24136/oc.2023.026","DOIUrl":"https://doi.org/10.24136/oc.2023.026","url":null,"abstract":"Research background: The Bangladeshi government has set a plan to generate one-tenth of its electricity from solar and other renewable sources by 2030. Solar adoption surged in Bangladesh up until 2015, setting a global precedent for electrifying areas that were previously unconnected. The enhanced lighting offered by solar systems provides immediate benefits, including additional hours for household and business activities and extended study hours for school-going children. Purpose of the article: This study seeks to identify the determinants and welfare gains of solar adoption in rural areas by analysing three rounds of the Bangladesh Integrated Household Survey from 2011–12, 2015, and 2018–19. In addition to presenting new estimates of economic, environmental, and educational welfare gains, our research offers insights into how solar adoption relates to rural employment and the nutrition of children under five. Methods: We utilized both ordinary least squares and propensity score matching techniques to estimate the welfare effects of solar adoption. Only households that do not use electricity as their primary lighting source, such as those relying on solar or kerosene, are considered in our sample. Findings & value added: We have discovered that adopting solar is linked to higher income, increased expenditure, and growth in asset value. Additionally, there is a significant reduction in kerosene expenditure among adopters compared to non-adopters. Other observations reveal that households with solar setups tend to transition from sharecropping to trading and poultry farming. Children in these households also benefit from solar adoption in terms of education and nutrition. This study illustrates how solar energy can effectively address various welfare concerns in areas where the government cannot supply electricity. Given that recent global events have rendered underdeveloped countries more vulnerable to providing consistent electricity to their entire populations, this research suggests solar energy as a resilient electrification solution during crises.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135083031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mihai Andronie, Mariana Iatagan, Cristian Uță, Iulian Hurloiu, Adrian Dijmărescu, Irina Dijmărescu
Research background: Fintech companies should optimize banking sector performance in assisting enterprise financing as a result of firm digitalization. Artificial IoT-based fintech-based digital transformation can relevantly reverse credit resource misdistribution brought about by corrupt relationship chains. Purpose of the article: We aim to show that fintech can decrease transaction expenses and consolidates firm stock liquidity, enabling excess leverage decrease and cutting down information asymmetry and transaction expenses across capital markets. AI- and IoT-based fintechs enable immersive and collaborative financial transactions, purchases, and investments in relation to payment tokens and metaverse wallets, managing financial data, infrastructure, and value exchange across shared interactive virtual 3D and simulated digital environments. Methods: AMSTAR is a comprehensive critical measurement tool harnessed in systematic review methodological quality evaluation, DistillerSR is harnessed in producing accurate and transparent evidence-based research through literature review stage automation, MMAT appraises and describes study checklist across systematic mixed studies reviews in terms of content validity and methodological quality predictors, Rayyan is a responsive and intuitive knowledge synthesis tool and cloud-based architecture for article inclusion and exclusion suggestions, and ROBIS appraises systematic review bias risk in relation to relevance and concerns. As a reporting quality assessment tool, the PRISMA checklist and flow diagram, generated by a Shiny App, was used. As bibliometric visualization and construction tools for large datasets and networks, Dimensions and VOSviewer were leveraged. Search terms were “fintech” + “artificial intelligence”, “big data management algorithms”, and “Internet of Things”, search period was June 2023, published research inspected was 2023, and selected sources were 35 out of 188. Findings & value added: The growing volume of financial products and optimized operational performance of financial industries generated by fintech can provide firms with multifarious financing options quickly. Big data-driven fintech innovations are pivotal in banking and capital markets in relation to financial institution operational efficiency. Through data-driven technological and process innovation capabilities, AI system-based businesses can further automated services.
{"title":"Big data management algorithms in artificial Internet of Things-based fintech","authors":"Mihai Andronie, Mariana Iatagan, Cristian Uță, Iulian Hurloiu, Adrian Dijmărescu, Irina Dijmărescu","doi":"10.24136/oc.2023.023","DOIUrl":"https://doi.org/10.24136/oc.2023.023","url":null,"abstract":"Research background: Fintech companies should optimize banking sector performance in assisting enterprise financing as a result of firm digitalization. Artificial IoT-based fintech-based digital transformation can relevantly reverse credit resource misdistribution brought about by corrupt relationship chains. Purpose of the article: We aim to show that fintech can decrease transaction expenses and consolidates firm stock liquidity, enabling excess leverage decrease and cutting down information asymmetry and transaction expenses across capital markets. AI- and IoT-based fintechs enable immersive and collaborative financial transactions, purchases, and investments in relation to payment tokens and metaverse wallets, managing financial data, infrastructure, and value exchange across shared interactive virtual 3D and simulated digital environments. Methods: AMSTAR is a comprehensive critical measurement tool harnessed in systematic review methodological quality evaluation, DistillerSR is harnessed in producing accurate and transparent evidence-based research through literature review stage automation, MMAT appraises and describes study checklist across systematic mixed studies reviews in terms of content validity and methodological quality predictors, Rayyan is a responsive and intuitive knowledge synthesis tool and cloud-based architecture for article inclusion and exclusion suggestions, and ROBIS appraises systematic review bias risk in relation to relevance and concerns. As a reporting quality assessment tool, the PRISMA checklist and flow diagram, generated by a Shiny App, was used. As bibliometric visualization and construction tools for large datasets and networks, Dimensions and VOSviewer were leveraged. Search terms were “fintech” + “artificial intelligence”, “big data management algorithms”, and “Internet of Things”, search period was June 2023, published research inspected was 2023, and selected sources were 35 out of 188. Findings & value added: The growing volume of financial products and optimized operational performance of financial industries generated by fintech can provide firms with multifarious financing options quickly. Big data-driven fintech innovations are pivotal in banking and capital markets in relation to financial institution operational efficiency. Through data-driven technological and process innovation capabilities, AI system-based businesses can further automated services.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135082622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Research background: The business cycle (BC) approaches have found extensive use in economic analysis and forecasting. Especially in the last 40 years, various modern BC models have been proposed and have experienced rapid development. However, there are no recent studies that provide a systematic review of the publications on this topic. Purpose of the article: This paper aims to comprehensively review publications of BC approaches based on the cause, nature and methods of measurement BC, with the goal of identifying the current research states, research gaps and future trends of BC approaches. Methods: A systematic literature review of BC approaches is conducted by qualitatively introducing the cause and the nature of BCs and quantitatively analyzing the methods of measurement BCs. We selected 206 articles related to BC approaches from the WoS Core Collection and Google Scholar database, spanning the years 1946 to 2022, for comprehensive statistical and content analysis. The statistical analysis presents the distribution of publication years, the most popular journals and the highly cited publications. The content analysis classifies the selected publications into 6 categories based on methods of measurement BCs, and the theory, technique and applications of each category are analyzed in detail. Findings & value added: The analysis results indicate that BC approaches have progressively evolved in sophistication and have found widespread application in decomposing trends within economic time series, quantifying the nature of business cycles, and elucidating the causes and transmission mechanisms underlying them. This review paper provides current states, research challenges and future directions in effectively employing BC approaches for empirical study.
{"title":"A systematic literature review on business cycle approaches: Measurement, nature, duration","authors":"Zhongmin Pu, Xuecheng Fan, Zeshui Xu, Marinko Skare","doi":"10.24136/oc.2023.028","DOIUrl":"https://doi.org/10.24136/oc.2023.028","url":null,"abstract":"Research background: The business cycle (BC) approaches have found extensive use in economic analysis and forecasting. Especially in the last 40 years, various modern BC models have been proposed and have experienced rapid development. However, there are no recent studies that provide a systematic review of the publications on this topic. Purpose of the article: This paper aims to comprehensively review publications of BC approaches based on the cause, nature and methods of measurement BC, with the goal of identifying the current research states, research gaps and future trends of BC approaches. Methods: A systematic literature review of BC approaches is conducted by qualitatively introducing the cause and the nature of BCs and quantitatively analyzing the methods of measurement BCs. We selected 206 articles related to BC approaches from the WoS Core Collection and Google Scholar database, spanning the years 1946 to 2022, for comprehensive statistical and content analysis. The statistical analysis presents the distribution of publication years, the most popular journals and the highly cited publications. The content analysis classifies the selected publications into 6 categories based on methods of measurement BCs, and the theory, technique and applications of each category are analyzed in detail. Findings & value added: The analysis results indicate that BC approaches have progressively evolved in sophistication and have found widespread application in decomposing trends within economic time series, quantifying the nature of business cycles, and elucidating the causes and transmission mechanisms underlying them. This review paper provides current states, research challenges and future directions in effectively employing BC approaches for empirical study.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135082900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Research background: The sustainable development and innovation economics theory and related literature place a lot of emphasis on the relationship between environment, society, and governance (ESG) and green innovation. Purpose of the article: The purpose of this paper is to understand what the factors are that influence green innovation and why there is a big disparity in green innovation capabilities between nations. In addition, this paper aims to investigate the impact of ESG performance of green innovation by using unbalanced panel data covering 118 sample countries during the period of 1999–2019. Methods: Panel fixed effect model; Instrumental variable (IV) method; First-differencing (FD) method; Kinky least-squares (KLS) approach. Findings & value added: ESG performance provides evidence for its positive and significant impact on such innovation. Among the ESG factors, governance seems to have the most important influence on green innovation. Moreover, the positive influence of ESG performance is more evident in higher income and wealthy nations. Furthermore, we also conclude that ESG performance can affect green innovation through FDI, human capital, financial development and trade openness. These conclusions hold up after a number of robustness tests and taking into account any potential endogenous issues. Overall, policymakers should pay close attention to the findings.
{"title":"Does ESG performance bring to enterprises’ green innovation? Yes, evidence from 118 countries","authors":"Qiang Fu, Xinxin Zhao, Chun-Ping Chang","doi":"10.24136/oc.2023.024","DOIUrl":"https://doi.org/10.24136/oc.2023.024","url":null,"abstract":"Research background: The sustainable development and innovation economics theory and related literature place a lot of emphasis on the relationship between environment, society, and governance (ESG) and green innovation. Purpose of the article: The purpose of this paper is to understand what the factors are that influence green innovation and why there is a big disparity in green innovation capabilities between nations. In addition, this paper aims to investigate the impact of ESG performance of green innovation by using unbalanced panel data covering 118 sample countries during the period of 1999–2019. Methods: Panel fixed effect model; Instrumental variable (IV) method; First-differencing (FD) method; Kinky least-squares (KLS) approach. Findings & value added: ESG performance provides evidence for its positive and significant impact on such innovation. Among the ESG factors, governance seems to have the most important influence on green innovation. Moreover, the positive influence of ESG performance is more evident in higher income and wealthy nations. Furthermore, we also conclude that ESG performance can affect green innovation through FDI, human capital, financial development and trade openness. These conclusions hold up after a number of robustness tests and taking into account any potential endogenous issues. Overall, policymakers should pay close attention to the findings.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135082624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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