Pub Date : 2023-11-30DOI: 10.17015/ejbe.2023.032.02
Navneet Kaur, Ella Mittal
With the advancement in the economy, females' participation in the workforce is increasing but they are still underrepresented in senior positions. So, understanding their psychological viewpoints about the glass ceiling and its association with subjective career success (SCS) is important. This study aims to illuminate the association between glass ceiling beliefs and subjective career success through social support in the Indian healthcare sector. Social support is taken as a mediator in this study. The mediation and moderation approach was used to test the proposed model of the study. For the study, a sample of 300 doctors working in corporate hospitals was surveyed. Data were analyzed through structural equation modeling in AMOS to understand the relationship of all variables. The results found that social support mediates the relationship between optimistic glass ceiling beliefs and career success. Furthermore, the moderating impact of gender was also examined on the association of glass ceiling beliefs and subjective career success. The present study is the first to examine the connection between glass ceiling beliefs and subjective career success in the Indian Health sector through the mediation of social support and gender. Theoretical and practical implications are discussed
{"title":"Investigating the Relation of Glass Ceiling Beliefs and Subjective Career Success: Role of Social Support and Gender","authors":"Navneet Kaur, Ella Mittal","doi":"10.17015/ejbe.2023.032.02","DOIUrl":"https://doi.org/10.17015/ejbe.2023.032.02","url":null,"abstract":"With the advancement in the economy, females' participation in the workforce is increasing but they are still underrepresented in senior positions. So, understanding their psychological viewpoints about the glass ceiling and its association with subjective career success (SCS) is important. This study aims to illuminate the association between glass ceiling beliefs and subjective career success through social support in the Indian healthcare sector. Social support is taken as a mediator in this study. The mediation and moderation approach was used to test the proposed model of the study. For the study, a sample of 300 doctors working in corporate hospitals was surveyed. Data were analyzed through structural equation modeling in AMOS to understand the relationship of all variables. The results found that social support mediates the relationship between optimistic glass ceiling beliefs and career success. Furthermore, the moderating impact of gender was also examined on the association of glass ceiling beliefs and subjective career success. The present study is the first to examine the connection between glass ceiling beliefs and subjective career success in the Indian Health sector through the mediation of social support and gender. Theoretical and practical implications are discussed","PeriodicalId":30328,"journal":{"name":"Eurasian Journal of Business and Economics","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139200687","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}
Pub Date : 2023-11-30DOI: 10.17015/ejbe.2023.032.03
Burhan Kabadayı
This paper scrutinizes the transformation in the electricity production structures of G7 nations in the wake of the Russian invasion of Ukraine. The inquiry centers on discerning shifts in the trajectory of energy production, particularly toward more sustainable and secure sources. With the imposition of economic sanctions against the Russian economy, an anticipatory transition from combustible fuels to renewable energy sources within G7 countries is envisaged. An empirical investigation is conducted utilizing panel data analysis of energy data across the G7. First and second-generation unit root tests have been used. Cointegration tests and the Vector Error Correction Model have been applied to see short-term and long-term relationships between renewable energy-sourced electricity production and combustible energy-sourced electricity production. Additionally, predictive modeling, employing SARIMA and Machine Learning model (Prophet) with Python, is employed to forecast future trends in energy production. This comprehensive analysis sheds light on the profound impact of geopolitical events on the energy landscape of influential global economies. The results of the econometrics and predictive models show that there is a significant effect of Russia-Ukrainian conflicts on electricity production in favor of more secure and clean energy. This trend change in renewable energy-sourced electricity production should fortify more regulatory aspects.
{"title":"Geopolitical Turmoil and G7 Renewable Electricity Production: Impacts of the Russian-Ukrainian Conflict","authors":"Burhan Kabadayı","doi":"10.17015/ejbe.2023.032.03","DOIUrl":"https://doi.org/10.17015/ejbe.2023.032.03","url":null,"abstract":"This paper scrutinizes the transformation in the electricity production structures of G7 nations in the wake of the Russian invasion of Ukraine. The inquiry centers on discerning shifts in the trajectory of energy production, particularly toward more sustainable and secure sources. With the imposition of economic sanctions against the Russian economy, an anticipatory transition from combustible fuels to renewable energy sources within G7 countries is envisaged. An empirical investigation is conducted utilizing panel data analysis of energy data across the G7. First and second-generation unit root tests have been used. Cointegration tests and the Vector Error Correction Model have been applied to see short-term and long-term relationships between renewable energy-sourced electricity production and combustible energy-sourced electricity production. Additionally, predictive modeling, employing SARIMA and Machine Learning model (Prophet) with Python, is employed to forecast future trends in energy production. This comprehensive analysis sheds light on the profound impact of geopolitical events on the energy landscape of influential global economies. The results of the econometrics and predictive models show that there is a significant effect of Russia-Ukrainian conflicts on electricity production in favor of more secure and clean energy. This trend change in renewable energy-sourced electricity production should fortify more regulatory aspects.","PeriodicalId":30328,"journal":{"name":"Eurasian Journal of Business and Economics","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139208814","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}
Pub Date : 2023-11-30DOI: 10.17015/ejbe.2023.032.01
Gaurav Kumar, K. Choudhary
This study explores the bibliometric attributes and reviews the literature in the domain of behavioural finance. Bibliometric analysis is applied to 1,523 articles from peer-reviewed journals of the Scopus database. VOS Viewer is applied for descriptive analyses of leading contributors (authors, sources, countries, and institutions). Biblioshiny and Gephi are used for clustering analysis and PageRank analysis, respectively. Future research directions are suggested based on keyword cooccurrence maps and clustering of recent articles. Five prominent themes in behavioural finance are identified: risk management and portfolio selection, market efficiency and investor behaviour, influence on investor behaviour, behavioural biases, and investor sentiment. In addition to the conceptual structure, the domain’s intellectual and social networks are identified to clarify areas requiring further exploration. This study augments the knowledge of research scholars, finance academics, portfolio consultants, and other stakeholders about the overall structure and topics underpinning the literature.
{"title":"Behavioural Finance: A Review of Major Research Themes and Bibliometric Analysis","authors":"Gaurav Kumar, K. Choudhary","doi":"10.17015/ejbe.2023.032.01","DOIUrl":"https://doi.org/10.17015/ejbe.2023.032.01","url":null,"abstract":"This study explores the bibliometric attributes and reviews the literature in the domain of behavioural finance. Bibliometric analysis is applied to 1,523 articles from peer-reviewed journals of the Scopus database. VOS Viewer is applied for descriptive analyses of leading contributors (authors, sources, countries, and institutions). Biblioshiny and Gephi are used for clustering analysis and PageRank analysis, respectively. Future research directions are suggested based on keyword cooccurrence maps and clustering of recent articles. Five prominent themes in behavioural finance are identified: risk management and portfolio selection, market efficiency and investor behaviour, influence on investor behaviour, behavioural biases, and investor sentiment. In addition to the conceptual structure, the domain’s intellectual and social networks are identified to clarify areas requiring further exploration. This study augments the knowledge of research scholars, finance academics, portfolio consultants, and other stakeholders about the overall structure and topics underpinning the literature.","PeriodicalId":30328,"journal":{"name":"Eurasian Journal of Business and Economics","volume":"234 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139205067","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}
Pub Date : 2023-05-30DOI: 10.17015/ejbe.2023.031.03
Nisarg A. JOSH, H. Baker, Ansita Aggarwal
We examine how the outbreak of the Russia-Ukraine war affected specific stock indices in the Asia-Pacific region, the United States, and Europe. Using event study methodology, we find that the event day’s abnormal returns indicate that the war’s outbreak had a significantly negative impact on most indices. For example, countries like Australia, Germany, Pakistan, India, Singapore, Vietnam, Mongolia, Malaysia, Bangladesh, and the Philippines show significantly negative returns the day after the war’s outbreak. All indices continue to have significantly negative returns in the rest of the post-event window, except Australia, Bangladesh, India, and the Philippines. Our analysis enables us to identify which countries in the Asia Pacific region along with selected markets from the Europe region, the counties directly bordering Ukraine were most vulnerable to war news and when the immediate consequences of the war were better than expected, confirming these cross-sectional implications
{"title":"The Russia-Ukraine War’s Impact on Stock Markets in Asia-Pacific, the United States, and Europe","authors":"Nisarg A. JOSH, H. Baker, Ansita Aggarwal","doi":"10.17015/ejbe.2023.031.03","DOIUrl":"https://doi.org/10.17015/ejbe.2023.031.03","url":null,"abstract":"We examine how the outbreak of the Russia-Ukraine war affected specific stock indices in the Asia-Pacific region, the United States, and Europe. Using event study methodology, we find that the event day’s abnormal returns indicate that the war’s outbreak had a significantly negative impact on most indices. For example, countries like Australia, Germany, Pakistan, India, Singapore, Vietnam, Mongolia, Malaysia, Bangladesh, and the Philippines show significantly negative returns the day after the war’s outbreak. All indices continue to have significantly negative returns in the rest of the post-event window, except Australia, Bangladesh, India, and the Philippines. Our analysis enables us to identify which countries in the Asia Pacific region along with selected markets from the Europe region, the counties directly bordering Ukraine were most vulnerable to war news and when the immediate consequences of the war were better than expected, confirming these cross-sectional implications","PeriodicalId":30328,"journal":{"name":"Eurasian Journal of Business and Economics","volume":"258 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77061562","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}
Pub Date : 2023-05-30DOI: 10.17015/ejbe.2023.031.01
Nereida Hadžiahmetović, Muhammet Sait Dinc
The purpose of this study is to examine the impact of knowledge creation and affective commitment on organizational performance. The study also explores the mediating role of affective commitment in this relationship. The results based on the sample of 825 academics and members of the administrative staff at universities from Central and Eastern European countries support the proposed hypotheses of this research. Exploratory and Confirmatory factor analyses were performed to assess the reliability of scales, while structural equation modeling was used to evaluate the hypotheses. This study demonstrates that knowledge creation and affective commitment are predictors of organizational performance. It also shows that affective commitment, which is influenced by knowledge creation, is an important mediating factor that affects organizational performance at public and private universities in Central and Eastern European countries.
{"title":"Fostering Organizational Performance at Central and Eastern European Universities: The Impact of Knowledge Creation and Affective Commitment","authors":"Nereida Hadžiahmetović, Muhammet Sait Dinc","doi":"10.17015/ejbe.2023.031.01","DOIUrl":"https://doi.org/10.17015/ejbe.2023.031.01","url":null,"abstract":"The purpose of this study is to examine the impact of knowledge creation and affective commitment on organizational performance. The study also explores the mediating role of affective commitment in this relationship. The results based on the sample of 825 academics and members of the administrative staff at universities from Central and Eastern European countries support the proposed hypotheses of this research. Exploratory and Confirmatory factor analyses were performed to assess the reliability of scales, while structural equation modeling was used to evaluate the hypotheses. This study demonstrates that knowledge creation and affective commitment are predictors of organizational performance. It also shows that affective commitment, which is influenced by knowledge creation, is an important mediating factor that affects organizational performance at public and private universities in Central and Eastern European countries.","PeriodicalId":30328,"journal":{"name":"Eurasian Journal of Business and Economics","volume":"89 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83442992","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}
Pub Date : 2023-05-30DOI: 10.17015/ejbe.2023.031.02
C. Baek
We examine the causal relationships and extreme return co-movements between the Russian stock market and adjacent Eastern European (EE) stock markets before and after the recent Russia-Ukraine war. Considering that the EE stock markets are regarded as a group of emerging markets in the same region for the purpose of investment, we are motivated to identify any change in their relationships after the war because this would be critical in terms of stock portfolio diversification. We find that while the war has a positive impact on the causal relationship between the Russian stock market and the Bulgarian stock market, it has a negative impact on the causal relationships between the Russian stock market and the other EE stock markets. Also, extreme return co-movements between the Russian stock market and the Bulgarian stock market are strengthened after the war whereas those between the Russian stock market and the other EE stock markets are weakened after the war. Our study is expected to provide new insight into stock market participants
{"title":"The Russia-Ukraine War and Eastern European Stock Markets","authors":"C. Baek","doi":"10.17015/ejbe.2023.031.02","DOIUrl":"https://doi.org/10.17015/ejbe.2023.031.02","url":null,"abstract":"We examine the causal relationships and extreme return co-movements between the Russian stock market and adjacent Eastern European (EE) stock markets before and after the recent Russia-Ukraine war. Considering that the EE stock markets are regarded as a group of emerging markets in the same region for the purpose of investment, we are motivated to identify any change in their relationships after the war because this would be critical in terms of stock portfolio diversification. We find that while the war has a positive impact on the causal relationship between the Russian stock market and the Bulgarian stock market, it has a negative impact on the causal relationships between the Russian stock market and the other EE stock markets. Also, extreme return co-movements between the Russian stock market and the Bulgarian stock market are strengthened after the war whereas those between the Russian stock market and the other EE stock markets are weakened after the war. Our study is expected to provide new insight into stock market participants","PeriodicalId":30328,"journal":{"name":"Eurasian Journal of Business and Economics","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85931309","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}
Pub Date : 2022-11-30DOI: 10.17015/ejbe.2022.030.04
Hami Saka, Mehmet ORHAN
This paper attempts to investigate the effect of technology on employment based on skill groups in developing countries using data from 23 countries between 1990 and 2019. We use the macroeconomic framework to split employment in developing countries into high-skilled and low-skilled and examine how these two groups are affected by progress in technology. Pedroni’s (1999, 2004) and Kao’s (1999) cointegration methods reveal the statistically significant relationship among variables in the long run. Coefficients estimated in cointegration highlight that technology is among the factors that increase unemployment in developing countries. In addition, our baseline models document that inflation and real interest rates have a positive impact on unemployment. Finally, both high-skilled and lowskilled employment in developing countries are negatively affected by technology, and the negative impact is greater on low-skill employment.
{"title":"R&D and Employment Relation: Differences in Low and High-Skilled Employment in Developing Economies","authors":"Hami Saka, Mehmet ORHAN","doi":"10.17015/ejbe.2022.030.04","DOIUrl":"https://doi.org/10.17015/ejbe.2022.030.04","url":null,"abstract":"This paper attempts to investigate the effect of technology on employment based on skill groups in developing countries using data from 23 countries between 1990 and 2019. We use the macroeconomic framework to split employment in developing countries into high-skilled and low-skilled and examine how these two groups are affected by progress in technology. Pedroni’s (1999, 2004) and Kao’s (1999) cointegration methods reveal the statistically significant relationship among variables in the long run. Coefficients estimated in cointegration highlight that technology is among the factors that increase unemployment in developing countries. In addition, our baseline models document that inflation and real interest rates have a positive impact on unemployment. Finally, both high-skilled and lowskilled employment in developing countries are negatively affected by technology, and the negative impact is greater on low-skill employment.","PeriodicalId":30328,"journal":{"name":"Eurasian Journal of Business and Economics","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77271000","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}
Pub Date : 2022-11-30DOI: 10.17015/ejbe.2022.030.03
Gopalakrishnan Kalpakam, Smita Ramakrishna
We examine the impact of the COVID-19 pandemic on the interlinkages between the Indian stock market and some of the largest indices across the world. We compare the co-movements of these stock markets to identify the possibilities for international portfolio diversification. We use the Johansen cointegration technique and Vector Error Correction Mechanism to understand the nature of long-run and short-run cointegration. We also apply the Impulse Response Function to understand the time effects of the shock. The results of the Johansen cointegration test indicate that there is an increased level of cointegration among the stock market indices post the pandemic. Our results of VEC Block Exogeneity Wald Tests indicate that in the preCovid time, there were linkages between the stock markets of India and the U.K., Japan, and Hongkong. However, the post-pandemic results indicate the shock transmission effects from India to two very important European indices, i.e., the U.K. and Euronext stock exchanges, and to the stock market of Japan. We also observe transmission effects from the USA to India post-Covid period.
{"title":"Contagion Effects of Covid-19 on Select Stock Market Indices","authors":"Gopalakrishnan Kalpakam, Smita Ramakrishna","doi":"10.17015/ejbe.2022.030.03","DOIUrl":"https://doi.org/10.17015/ejbe.2022.030.03","url":null,"abstract":"We examine the impact of the COVID-19 pandemic on the interlinkages between the Indian stock market and some of the largest indices across the world. We compare the co-movements of these stock markets to identify the possibilities for international portfolio diversification. We use the Johansen cointegration technique and Vector Error Correction Mechanism to understand the nature of long-run and short-run cointegration. We also apply the Impulse Response Function to understand the time effects of the shock. The results of the Johansen cointegration test indicate that there is an increased level of cointegration among the stock market indices post the pandemic. Our results of VEC Block Exogeneity Wald Tests indicate that in the preCovid time, there were linkages between the stock markets of India and the U.K., Japan, and Hongkong. However, the post-pandemic results indicate the shock transmission effects from India to two very important European indices, i.e., the U.K. and Euronext stock exchanges, and to the stock market of Japan. We also observe transmission effects from the USA to India post-Covid period.","PeriodicalId":30328,"journal":{"name":"Eurasian Journal of Business and Economics","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85998796","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}
Pub Date : 2022-11-30DOI: 10.17015/ejbe.2022.030.02
S. Xavier, K. Zakkariya
The purpose of this paper is to explore the factors that affect the usage continuance intention of mobile wallet users. A number of studies on mobile wallets have used various theories like TAM and UTAUT to understand the adoption intention, but the studies on continuous intention are scant. The study findings are based on the data collected from 485 respondents and analysed using AMOS SEM. The role of engagement in the relationship between value and continuance intention was also explored using mediation analysis. The study’s results prove the importance of value in bringing about an engrossed state in the users of mobile wallets, thereby increasing the intention of these users to continue using the wallet. From a theoretical perspective, the study is one of the first to explore the relationship between value, engagement, and continuance intention among mobile wallet users. As far as practical implications are concerned, the study’s results reveal the importance of value in inducing engagement among users and, thereby, loyalty, especially in an industry where the switching costs are low.
{"title":"The Effect of Utilitarian, Hedonic, Monetary and Social Value on Users of Mobile Wallets","authors":"S. Xavier, K. Zakkariya","doi":"10.17015/ejbe.2022.030.02","DOIUrl":"https://doi.org/10.17015/ejbe.2022.030.02","url":null,"abstract":"The purpose of this paper is to explore the factors that affect the usage continuance intention of mobile wallet users. A number of studies on mobile wallets have used various theories like TAM and UTAUT to understand the adoption intention, but the studies on continuous intention are scant. The study findings are based on the data collected from 485 respondents and analysed using AMOS SEM. The role of engagement in the relationship between value and continuance intention was also explored using mediation analysis. The study’s results prove the importance of value in bringing about an engrossed state in the users of mobile wallets, thereby increasing the intention of these users to continue using the wallet. From a theoretical perspective, the study is one of the first to explore the relationship between value, engagement, and continuance intention among mobile wallet users. As far as practical implications are concerned, the study’s results reveal the importance of value in inducing engagement among users and, thereby, loyalty, especially in an industry where the switching costs are low.","PeriodicalId":30328,"journal":{"name":"Eurasian Journal of Business and Economics","volume":"34 2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90456938","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}
Pub Date : 2022-11-30DOI: 10.17015/ejbe.2022.030.05
S. Chakrabartty, D. Sinha
The composition and share of export items from a country change over time. Individual exporting companies take firm-level actions to keep up their market share. A relative (to the point of reference) and comparative (compared to other exportable goods) advantage index for an export item can aid decision-making at the country and company levels. Present literature shows less reference to the existence of such an index. The popular Balassa’s revealed comparative advantage (B-RCA) index measures the comparative strength of a product at any given period. However, this method and its variants are time stationary and not directly applicable for sectors, i.e., groups of commodities with the same first four digits of the HS Code. Sector-level RCA aids in identifying the country's comparative advantage over the sector over time. For a given set of products, the paper uses many partner countries and a manyproduct trade approach. This paper suggests two indices to reflect the dynamic RCA. It suggests calculating the ratio of the Balassa index for each product for the current period and reference period – the relative revealed comparative advantage (RRCA); proposes geometric aggregation of these ratios to get a composite RCA (CRCA) index for a country.
{"title":"Composite Revealed Comparative Advantage Index: A Non-parametric Approach","authors":"S. Chakrabartty, D. Sinha","doi":"10.17015/ejbe.2022.030.05","DOIUrl":"https://doi.org/10.17015/ejbe.2022.030.05","url":null,"abstract":"The composition and share of export items from a country change over time. Individual exporting companies take firm-level actions to keep up their market share. A relative (to the point of reference) and comparative (compared to other exportable goods) advantage index for an export item can aid decision-making at the country and company levels. Present literature shows less reference to the existence of such an index. The popular Balassa’s revealed comparative advantage (B-RCA) index measures the comparative strength of a product at any given period. However, this method and its variants are time stationary and not directly applicable for sectors, i.e., groups of commodities with the same first four digits of the HS Code. Sector-level RCA aids in identifying the country's comparative advantage over the sector over time. For a given set of products, the paper uses many partner countries and a manyproduct trade approach. This paper suggests two indices to reflect the dynamic RCA. It suggests calculating the ratio of the Balassa index for each product for the current period and reference period – the relative revealed comparative advantage (RRCA); proposes geometric aggregation of these ratios to get a composite RCA (CRCA) index for a country.","PeriodicalId":30328,"journal":{"name":"Eurasian Journal of Business and Economics","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90852156","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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