This study compared the impact of the Global Financial Crisis (GFC) and the COVID-19 pandemic on financial market contagion between developed and emerging markets. A DCC-GARCH model was employed to test the contagion effects of developed and emerging markets using weekly returns for the S&P 500 (US), FTSE-100 (UK), ASX 200 (AUS), IBOVESPA (BRA), BSE SENSEX (IND) and BVM IPC (MEX). The results showed that there was a persuasive case made for the integration of markets for efficient financial systems. However, a crisis occurring in one market holds significant repercussions for any of the connected markets. The findings show that the COVID-19 pandemic affected all the markets more severely than the GFC and contagion effects were more pronounced in emerging markets than in developed markets during the GFC and the pandemic. Consequently, policy makers in emerging markets should implement policies that reduce external vulnerabilities and improve their markets’ stability to reduce the impact of contagion.
{"title":"Contagion risk in Equity Markets during Financial Crises and COVID-19: A comparison of developed and emerging markets","authors":"P. Muzindutsi, Akita Sheodin, Joshua Moodley, Khmera Moodley, Mayuri Naidoo, Purusha Ramjiyavan, Rinay Moonsamy, Tiffany Atalia Pillay, Fikile Dube","doi":"10.47743/saeb-2022-0026","DOIUrl":"https://doi.org/10.47743/saeb-2022-0026","url":null,"abstract":"This study compared the impact of the Global Financial Crisis (GFC) and the COVID-19 pandemic on financial market contagion between developed and emerging markets. A DCC-GARCH model was employed to test the contagion effects of developed and emerging markets using weekly returns for the S&P 500 (US), FTSE-100 (UK), ASX 200 (AUS), IBOVESPA (BRA), BSE SENSEX (IND) and BVM IPC (MEX). The results showed that there was a persuasive case made for the integration of markets for efficient financial systems. However, a crisis occurring in one market holds significant repercussions for any of the connected markets. The findings show that the COVID-19 pandemic affected all the markets more severely than the GFC and contagion effects were more pronounced in emerging markets than in developed markets during the GFC and the pandemic. Consequently, policy makers in emerging markets should implement policies that reduce external vulnerabilities and improve their markets’ stability to reduce the impact of contagion.","PeriodicalId":43189,"journal":{"name":"Scientific Annals of Economics and Business","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46950409","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}
Jatin Trivedi, C. Spulbar, Ramona Birau, A. Mehdiabadi, Ion Florescu
This paper estimates NIFTY index from Indian stock market by considering a cluster of MSCI European, Middle East and Asian stock market indices. In the forecasting process, we obtain group of independent variables to test its relative impact over dependent variable (NIFTY) considering a sample size of daily observations from January 2000 to December 2021 abstracted from Bloomberg. We run OLS regression, Quantile estimations with additional parameter of VIF and BKW. We found significant impact association with China (Asian index) and Saudi Arabia (Middle East index) during the forecasting process compared to rest of sample indices that exceed unexpectedly out of VIF limits. Further, we recorded strong association of independent variables despite of statistical significance (<1%) in OLS regression estimation.
{"title":"Do European, Middle-East and Asian Stock Markets Impact on Indian Stock Market? A Case Study Based on NIFTY Stock Index Forecasting","authors":"Jatin Trivedi, C. Spulbar, Ramona Birau, A. Mehdiabadi, Ion Florescu","doi":"10.47743/saeb-2022-0028","DOIUrl":"https://doi.org/10.47743/saeb-2022-0028","url":null,"abstract":"This paper estimates NIFTY index from Indian stock market by considering a cluster of MSCI European, Middle East and Asian stock market indices. In the forecasting process, we obtain group of independent variables to test its relative impact over dependent variable (NIFTY) considering a sample size of daily observations from January 2000 to December 2021 abstracted from Bloomberg. We run OLS regression, Quantile estimations with additional parameter of VIF and BKW. We found significant impact association with China (Asian index) and Saudi Arabia (Middle East index) during the forecasting process compared to rest of sample indices that exceed unexpectedly out of VIF limits. Further, we recorded strong association of independent variables despite of statistical significance (<1%) in OLS regression estimation.","PeriodicalId":43189,"journal":{"name":"Scientific Annals of Economics and Business","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49225319","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}
The emerging of green entrepreneurship and digital transformation improve businesses’ efficiency and meet consumers’ demand for environmentally sustainable products, reducing the environmental footprint and strengthening corporate responsibility to society. Moreover, the COVID-19 pandemic has become a key event changing our lives while businesses have to change their daily operations and working from home has become the norm. So, it is possible to say that business activities and business models have undergone some form of digital transformation due to the COVID-19 pandemic. In Greece, the Food Industry can be characterized as one of the most dynamic and competitive economic sectors which is distinguished for its growth prospects. The aim of this study is twofold: (i) to investigate the impact of green entrepreneurship and digital transformation into the performance of Greek SMEs in the food sector and (ii) to highlight the new trends integrated in new business models in the sector. To meet the research purpose, a bibliometric and co-citation analysis was used based on the R package and graphene as a subject of research for bibliometric analysis. The knowledge gained in this article shows how the digital transformation changed the functioning of the companies in the food industry. The conclusions of this article are mainly for the enterprises that are considering their own digitalization, which contributes to the long-term sustainability of them.
{"title":"Green Entrepreneurship and Digital Transformation of SMEs in Food Industry: Α Bibliometric Analysis","authors":"George Sklavos, M. Duquenne, G. Theodossiou","doi":"10.47743/saeb-2022-0027","DOIUrl":"https://doi.org/10.47743/saeb-2022-0027","url":null,"abstract":"The emerging of green entrepreneurship and digital transformation improve businesses’ efficiency and meet consumers’ demand for environmentally sustainable products, reducing the environmental footprint and strengthening corporate responsibility to society. Moreover, the COVID-19 pandemic has become a key event changing our lives while businesses have to change their daily operations and working from home has become the norm. So, it is possible to say that business activities and business models have undergone some form of digital transformation due to the COVID-19 pandemic. In Greece, the Food Industry can be characterized as one of the most dynamic and competitive economic sectors which is distinguished for its growth prospects. The aim of this study is twofold: (i) to investigate the impact of green entrepreneurship and digital transformation into the performance of Greek SMEs in the food sector and (ii) to highlight the new trends integrated in new business models in the sector. To meet the research purpose, a bibliometric and co-citation analysis was used based on the R package and graphene as a subject of research for bibliometric analysis. The knowledge gained in this article shows how the digital transformation changed the functioning of the companies in the food industry. The conclusions of this article are mainly for the enterprises that are considering their own digitalization, which contributes to the long-term sustainability of them.","PeriodicalId":43189,"journal":{"name":"Scientific Annals of Economics and Business","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47425728","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}
With the increased financial fragility, methods have been needed to predict financial data effectively. In this study, two leading data mining technologies, classification analysis and association rule mining, are implemented for modeling potentially successful and risky stocks on the BIST 30 index and BIST 100 Index based on the key variables of index name, index value, and stock price. Classification and Regression Tree (CART) is used for classification, and Apriori is applied for association analysis. The study data set covered monthly closing values during 2013-2019. The Apriori algorithm also obtained almost all of the classification rules generated with the CART algorithm. Validated by two promising data mining techniques, proposed rules guide decision-makers in their investment decisions. By providing early warning signals of risky stocks, these rules can be used to minimize risk levels and protect decision-makers from making risky decisions.
{"title":"Comparing Decision Trees and Association Rules for Stock Market Expectations in BIST100 and BIST30","authors":"Görkem Ataman, Serpil Kahraman","doi":"10.47743/saeb-2022-0024","DOIUrl":"https://doi.org/10.47743/saeb-2022-0024","url":null,"abstract":"With the increased financial fragility, methods have been needed to predict financial data effectively. In this study, two leading data mining technologies, classification analysis and association rule mining, are implemented for modeling potentially successful and risky stocks on the BIST 30 index and BIST 100 Index based on the key variables of index name, index value, and stock price. Classification and Regression Tree (CART) is used for classification, and Apriori is applied for association analysis. The study data set covered monthly closing values during 2013-2019. The Apriori algorithm also obtained almost all of the classification rules generated with the CART algorithm. Validated by two promising data mining techniques, proposed rules guide decision-makers in their investment decisions. By providing early warning signals of risky stocks, these rules can be used to minimize risk levels and protect decision-makers from making risky decisions.","PeriodicalId":43189,"journal":{"name":"Scientific Annals of Economics and Business","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47820102","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}
This paper revisits the link between exchange rate and interest rate considering the role of uncertainty due to infectious diseases in the South African economy using monthly data from January 1985 to August 2020 within a nonparametric framework. First, we examine the relationship between the exchange-interest rates hypothesis and observe a significant positive link, especially during the pandemic. Second, we analyze the volatility spillover among exchange rates, interest rates and other macroeconomic fundamentals and find a strong connection with the interest rate being net receivers of shocks. Third, with evidence of nonlinearity in the variables, the nonparametric quantiles-based causality test shows that the spillover for each asset is driven by pandemic uncertainty around the median quantiles. Conclusively, this suggests that the role of global health news in influencing the South African financial cycle which consequently leads to capital flows and movements in the prices of assets across financial markets cannot be downplayed. Relevant policy implications can be drawn from these findings.
{"title":"Revisiting Interest Rate – Exchange Rate Dynamics in South Africa: How Relevant is Pandemic Uncertainties?","authors":"P. Mkhosi, I. Fasanya","doi":"10.47743/saeb-2022-0023","DOIUrl":"https://doi.org/10.47743/saeb-2022-0023","url":null,"abstract":"This paper revisits the link between exchange rate and interest rate considering the role of uncertainty due to infectious diseases in the South African economy using monthly data from January 1985 to August 2020 within a nonparametric framework. First, we examine the relationship between the exchange-interest rates hypothesis and observe a significant positive link, especially during the pandemic. Second, we analyze the volatility spillover among exchange rates, interest rates and other macroeconomic fundamentals and find a strong connection with the interest rate being net receivers of shocks. Third, with evidence of nonlinearity in the variables, the nonparametric quantiles-based causality test shows that the spillover for each asset is driven by pandemic uncertainty around the median quantiles. Conclusively, this suggests that the role of global health news in influencing the South African financial cycle which consequently leads to capital flows and movements in the prices of assets across financial markets cannot be downplayed. Relevant policy implications can be drawn from these findings.","PeriodicalId":43189,"journal":{"name":"Scientific Annals of Economics and Business","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48660758","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}
Ladislava Issever Grochová, Petr Rozmahel, Marek Litzman
This paper reviews the role of bilateral fiscal differences, fiscal indiscipline and their joint effects in particular in determining business cycle synchronicity in the European Union (EU). Panel data comprising 28 EU members from 1999–2019 are used in the analysis. The two-step Instrumental Variable–Generalized Method of Moments (IV–GMM) is employed to estimate the effects of examined fiscal measures on business cycle correlations. The study finds that fiscal indiscipline doubles the negative effect of increasing fiscal differences on business cycle correlation compared to fiscally disciplined country-pairs. The findings suggest reopening the debate on fiscal policy coordination across Europe.
{"title":"The Effect of Fiscal Policy Asymmetries on Business Cycle Correlation in the EU","authors":"Ladislava Issever Grochová, Petr Rozmahel, Marek Litzman","doi":"10.47743/saeb-2022-0022","DOIUrl":"https://doi.org/10.47743/saeb-2022-0022","url":null,"abstract":"This paper reviews the role of bilateral fiscal differences, fiscal indiscipline and their joint effects in particular in determining business cycle synchronicity in the European Union (EU). Panel data comprising 28 EU members from 1999–2019 are used in the analysis. The two-step Instrumental Variable–Generalized Method of Moments (IV–GMM) is employed to estimate the effects of examined fiscal measures on business cycle correlations. The study finds that fiscal indiscipline doubles the negative effect of increasing fiscal differences on business cycle correlation compared to fiscally disciplined country-pairs. The findings suggest reopening the debate on fiscal policy coordination across Europe.","PeriodicalId":43189,"journal":{"name":"Scientific Annals of Economics and Business","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47567409","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}
Nidhal Mgadmi, A. Béjaoui, Wajdi Moussa, Tarek Sadraoui
The purpose of our paper is to analyze the main factors which influence fiscal balance’s evolution and thereby identify solutions for configuring a sustainable fiscal policy. We have selected as independent variables some of the main macroeconomic measures, respectively public debt, unemployment rate, economy openness degree, population, consumer goods’ price index, current account balance, direct foreign investments and economic growth rate. Our research method uses two econometric models applied on a sample of 22 countries, respectively 14 developed and 8 emergent. The first model is a multiple regression and studies the connection between the fiscal balance and selected independent variables, whereas the second one uses first order differences and introduces economic freedom as a dummy variable to catch the dynamic influences of selected measures upon fiscal result. The time interval considered was 1999-2013. The results generated using the two models revealed that public debt, current account balance and economic growth significantly influence the fiscal balance. As a consequence, the governments need to plan and implement a fiscal policy which resonates with economy priorities and the phase of the economic cycle, as well as ensure a proper management of the public debt, stimulate sustainable economic growth and employment.
{"title":"The Impact of the COVID-19 Pandemic on the Cryptocurrency Market","authors":"Nidhal Mgadmi, A. Béjaoui, Wajdi Moussa, Tarek Sadraoui","doi":"10.47743/saeb-2022-0014","DOIUrl":"https://doi.org/10.47743/saeb-2022-0014","url":null,"abstract":"The purpose of our paper is to analyze the main factors which influence fiscal balance’s evolution and thereby identify solutions for configuring a sustainable fiscal policy. We have selected as independent variables some of the main macroeconomic measures, respectively public debt, unemployment rate, economy openness degree, population, consumer goods’ price index, current account balance, direct foreign investments and economic growth rate. Our research method uses two econometric models applied on a sample of 22 countries, respectively 14 developed and 8 emergent. The first model is a multiple regression and studies the connection between the fiscal balance and selected independent variables, whereas the second one uses first order differences and introduces economic freedom as a dummy variable to catch the dynamic influences of selected measures upon fiscal result. The time interval considered was 1999-2013. The results generated using the two models revealed that public debt, current account balance and economic growth significantly influence the fiscal balance. As a consequence, the governments need to plan and implement a fiscal policy which resonates with economy priorities and the phase of the economic cycle, as well as ensure a proper management of the public debt, stimulate sustainable economic growth and employment.","PeriodicalId":43189,"journal":{"name":"Scientific Annals of Economics and Business","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42951927","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}
Gold is a traditional favorite investment avenue for investors all over the globe, particularly during the crisis period. Irrespective of the nature of the crisis, investors are allocating their funds to different gold-backed assets. This paper uses various globally traded gold-backed assets to identify its role and market linkages during the Covid 19 pandemic. Daily prices of assets from March 2020 to January 2022 were employed. DCC GARCH model is used to ascertain time-varying correlations and quantile regression was employed to examine the relationship between assets in different quantiles. Based on the analysis, safe haven property of all the assets is revealed and it is associated with the severity of the stock market crash as specified by the quantiles. Moreover, double exposure of gold mining stock results in different flights to quality. Co-movement of gold bullion, gold futures, and gold volatility index is visible during this crisis. Gold Exchange Traded Funds and gold-backed cryptocurrency offer diversification by decoupling with gold bullion in the portfolio. The paper highlights the importance of the choice of gold-backed assets along with gold bullion in the investment portfolio based on its role and market linkages.
{"title":"A Comparative Analysis on the Role and Market Linkages of Gold Backed Assets During COVID-19 Pandemic","authors":"Sruthy Madhavan, Sivaramapanicker Sreejith","doi":"10.47743/saeb-2022-0019","DOIUrl":"https://doi.org/10.47743/saeb-2022-0019","url":null,"abstract":"Gold is a traditional favorite investment avenue for investors all over the globe, particularly during the crisis period. Irrespective of the nature of the crisis, investors are allocating their funds to different gold-backed assets. This paper uses various globally traded gold-backed assets to identify its role and market linkages during the Covid 19 pandemic. Daily prices of assets from March 2020 to January 2022 were employed. DCC GARCH model is used to ascertain time-varying correlations and quantile regression was employed to examine the relationship between assets in different quantiles. Based on the analysis, safe haven property of all the assets is revealed and it is associated with the severity of the stock market crash as specified by the quantiles. Moreover, double exposure of gold mining stock results in different flights to quality. Co-movement of gold bullion, gold futures, and gold volatility index is visible during this crisis. Gold Exchange Traded Funds and gold-backed cryptocurrency offer diversification by decoupling with gold bullion in the portfolio. The paper highlights the importance of the choice of gold-backed assets along with gold bullion in the investment portfolio based on its role and market linkages.","PeriodicalId":43189,"journal":{"name":"Scientific Annals of Economics and Business","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43642230","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}
Ahmed H. Alsharif, Nor Zafir Md Salleh, L. Pilelienė, A. F. Abbas, Javed Ali
Despite several neuroscience tools existing, electroencephalography (EEG) is the most used and favoured tool among researchers because of its relatively low cost and high temporal resolution. Our study aimed to identify the global academic research trends of the empirical EEG studies in neuromarketing. This paper adopted the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol to identify relevant articles. A bibliometric analysis software (VOSviewer) was used to evaluate thirty open-access articles found in the Scopus database between 2016 and 2020. We found that the USA is the most productive country with five research articles that used the EEG tool in marketing studies, followed by Australia, Italy, and Malaysia with three articles each. According to the most prolific journals in neuromarketing, it has been found that Frontiers in Neuroscience journal (CiteScore 5.4) is the most prolific journal with two articles and 25 total citations, followed by Scientific reports (CiteScore 7.1) with two articles and eighteen total citations, which lead us to infer that the publications’ number does not necessarily reflect the citations’ number. The study provides a profound and comprehensive overview of academic research that used EEG in marketing research.
{"title":"Current Trends in the Application of EEG in Neuromarketing: A Bibliometric Analysis","authors":"Ahmed H. Alsharif, Nor Zafir Md Salleh, L. Pilelienė, A. F. Abbas, Javed Ali","doi":"10.47743/saeb-2022-0020","DOIUrl":"https://doi.org/10.47743/saeb-2022-0020","url":null,"abstract":"Despite several neuroscience tools existing, electroencephalography (EEG) is the most used and favoured tool among researchers because of its relatively low cost and high temporal resolution. Our study aimed to identify the global academic research trends of the empirical EEG studies in neuromarketing. This paper adopted the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol to identify relevant articles. A bibliometric analysis software (VOSviewer) was used to evaluate thirty open-access articles found in the Scopus database between 2016 and 2020. We found that the USA is the most productive country with five research articles that used the EEG tool in marketing studies, followed by Australia, Italy, and Malaysia with three articles each. According to the most prolific journals in neuromarketing, it has been found that Frontiers in Neuroscience journal (CiteScore 5.4) is the most prolific journal with two articles and 25 total citations, followed by Scientific reports (CiteScore 7.1) with two articles and eighteen total citations, which lead us to infer that the publications’ number does not necessarily reflect the citations’ number. The study provides a profound and comprehensive overview of academic research that used EEG in marketing research.","PeriodicalId":43189,"journal":{"name":"Scientific Annals of Economics and Business","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48739154","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}
This article explores the essential variables of economic complexity, innovation, and growth by researching the relationships between imperative economic indicators in selected high-income and upper middle-income economies. The economic complexity and innovation of the observed economies are robustly linked to their economic growth. The goal of this article is to investigate the significance of economic complexity and innovation in encouraging economic growth in high-income and upper middle-income economies. Miscellaneous methodological measurement instruments have been applied towards exploring the linkages between the crucial variables of economic complexity, innovation, and economic growth. The empirical data necessary for conducting this exploration were accumulated from primary and auxiliary sources. Analysis of the observed economies was performed using the statistical software package SPSS 25. The exploration results reveal the essential determinants of economic complexity and innovation for economic growth in selected countries. The interrelated determinants supervised for enhancing innovation and growth are linked to synthesized indicators of economic complexity. Confirmation of the heterogeneity between essential variables and awareness of sensitivity is the foundation for the subsequent acceptance of convenient economic complexity indicators for improvement of the critical fields of national economies.
{"title":"Unveiling the Linkages between Economic Complexity, Innovation and Growth: The Case of High-Income and Upper Middle-Income Economies","authors":"Lejla Terzić","doi":"10.47743/saeb-2022-0018","DOIUrl":"https://doi.org/10.47743/saeb-2022-0018","url":null,"abstract":"This article explores the essential variables of economic complexity, innovation, and growth by researching the relationships between imperative economic indicators in selected high-income and upper middle-income economies. The economic complexity and innovation of the observed economies are robustly linked to their economic growth. The goal of this article is to investigate the significance of economic complexity and innovation in encouraging economic growth in high-income and upper middle-income economies. Miscellaneous methodological measurement instruments have been applied towards exploring the linkages between the crucial variables of economic complexity, innovation, and economic growth. The empirical data necessary for conducting this exploration were accumulated from primary and auxiliary sources. Analysis of the observed economies was performed using the statistical software package SPSS 25. The exploration results reveal the essential determinants of economic complexity and innovation for economic growth in selected countries. The interrelated determinants supervised for enhancing innovation and growth are linked to synthesized indicators of economic complexity. Confirmation of the heterogeneity between essential variables and awareness of sensitivity is the foundation for the subsequent acceptance of convenient economic complexity indicators for improvement of the critical fields of national economies.","PeriodicalId":43189,"journal":{"name":"Scientific Annals of Economics and Business","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42865071","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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