Pub Date : 2024-06-15DOI: 10.3390/economies12060152
Dimitrios Vortelinos, Angeliki N. Menegaki, Spyros Alexiou
The present paper investigates the relationship between stock prices, credit ratings, and ESG scores for banks internationally. First, it describes stock prices and ESG scores at an annual frequency, as well as stock price and credit risk at a daily frequency. The relationships between (a) stock price and credit rating returns with ESG score returns and (b) among ESG scores are examined by pairwise annual correlation, and daily correlations are examined between price and credit rating returns. Furthermore, Granger causality is used to examine the relationships between the following: (a) price and ESG score annual returns; (b) price and credit rating daily returns; and (c) total and pillar annual ESG scores. This study makes a significant contribution to the literature by providing a detailed temporal analysis using both annual and daily data frequencies, which is relatively rare in the field. There is evidence of statistically and empirically important relations in the form of pairwise correlations. The regressions reveal a low significance of few ESG score changes in explaining credit rating changes. A unique aspect of this paper is the comprehensive analysis of 16 granular ESG scores, including overall scores, pillar scores, and sub-scores, allowing for a multi-faceted understanding of how specific ESG factors impact financial metrics. We found evidence of the significance of COVID-19 in all research questions. Additionally, this paper highlights the impact of the COVID-19 pandemic on the relationships between ESG scores, credit ratings, and stock prices, offering timely insights into the heightened importance and volatility of ESG factors during crisis periods. Future research needs to shed more light on this relationship, however.
{"title":"The Relationship between Credit Rating and Environmental, Social, and Governance Score in Banking","authors":"Dimitrios Vortelinos, Angeliki N. Menegaki, Spyros Alexiou","doi":"10.3390/economies12060152","DOIUrl":"https://doi.org/10.3390/economies12060152","url":null,"abstract":"The present paper investigates the relationship between stock prices, credit ratings, and ESG scores for banks internationally. First, it describes stock prices and ESG scores at an annual frequency, as well as stock price and credit risk at a daily frequency. The relationships between (a) stock price and credit rating returns with ESG score returns and (b) among ESG scores are examined by pairwise annual correlation, and daily correlations are examined between price and credit rating returns. Furthermore, Granger causality is used to examine the relationships between the following: (a) price and ESG score annual returns; (b) price and credit rating daily returns; and (c) total and pillar annual ESG scores. This study makes a significant contribution to the literature by providing a detailed temporal analysis using both annual and daily data frequencies, which is relatively rare in the field. There is evidence of statistically and empirically important relations in the form of pairwise correlations. The regressions reveal a low significance of few ESG score changes in explaining credit rating changes. A unique aspect of this paper is the comprehensive analysis of 16 granular ESG scores, including overall scores, pillar scores, and sub-scores, allowing for a multi-faceted understanding of how specific ESG factors impact financial metrics. We found evidence of the significance of COVID-19 in all research questions. Additionally, this paper highlights the impact of the COVID-19 pandemic on the relationships between ESG scores, credit ratings, and stock prices, offering timely insights into the heightened importance and volatility of ESG factors during crisis periods. Future research needs to shed more light on this relationship, however.","PeriodicalId":52214,"journal":{"name":"Economies","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141519035","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 : 2024-06-14DOI: 10.3390/economies12060151
Satoru Kumagai
This paper examines how geography matters for the location of industries in East Asia, employing regression analyses on a novel and comprehensive regional GDP dataset. This study examines how geography affects industrial location patterns, particularly the role of infrastructure, such as ports and airports. This paper analyzes the current economic geography of East Asia using the novel dataset. The regression analyses utilize location quotients as the dependent variable and incorporate explanatory variables, such as domestic/foreign market access, per capita income, population density, and distance-based dummies for ports and airports. The findings reveal that the determinants of industrial location differ significantly across industries. The relative importance of domestic versus foreign market access and proximity to ports and airports varies across sectors. The results imply that countries/regions cannot easily host industries of their choice, as different industries require distinct locational characteristics.
本文通过对一个新颖而全面的地区 GDP 数据集进行回归分析，探讨了地理因素对东亚工业布局的影响。本研究探讨了地理环境如何影响工业区位模式，尤其是港口和机场等基础设施的作用。本文利用新颖的数据集分析了东亚当前的经济地理格局。回归分析利用区位商作为因变量，并结合了解释变量，如国内/国外市场准入、人均收入、人口密度以及基于距离的港口和机场虚拟变量。研究结果表明，不同行业的工业区位决定因素差异很大。国内与国外市场准入以及靠近港口和机场的相对重要性因行业而异。结果表明，由于不同产业需要不同的区位特征，国家/地区不可能轻易接纳自己选择的产业。
{"title":"Spatial Aspect of Global Value Chain in East Asia: How Ports and Airports Shape Industrial Clusters in East Asia","authors":"Satoru Kumagai","doi":"10.3390/economies12060151","DOIUrl":"https://doi.org/10.3390/economies12060151","url":null,"abstract":"This paper examines how geography matters for the location of industries in East Asia, employing regression analyses on a novel and comprehensive regional GDP dataset. This study examines how geography affects industrial location patterns, particularly the role of infrastructure, such as ports and airports. This paper analyzes the current economic geography of East Asia using the novel dataset. The regression analyses utilize location quotients as the dependent variable and incorporate explanatory variables, such as domestic/foreign market access, per capita income, population density, and distance-based dummies for ports and airports. The findings reveal that the determinants of industrial location differ significantly across industries. The relative importance of domestic versus foreign market access and proximity to ports and airports varies across sectors. The results imply that countries/regions cannot easily host industries of their choice, as different industries require distinct locational characteristics.","PeriodicalId":52214,"journal":{"name":"Economies","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141343775","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 : 2024-06-13DOI: 10.3390/economies12060150
Thomas Draper, Stefano Cavagnetto
The risk of lending money collected from savers is that it leaves banks liable to default with depositors if events (and hence repayment demands) become ‘abnormal’. Even though international and national regulation has been introduced to ensure that a certain level of capital is retained by banks, such regulation can be subverted. The current system of international regulation based on the Basel III agreements does not stipulate a standardised approach for inspection frequency or penalty magnitude. This leaves the potential for regulatory arbitrage. The scientific value of an analysis to optimise regulatory efficiency and reduce such arbitrage is therefore considerable. This work therefore assesses the results of the empirical testing of a model based on the Von Neumann–Morgenstern utility function and consequently proposes that this model be used as a basis for standardising capital adequacy limit infraction penalties on an international level to prevent regulatory arbitrage. A survey is undertaken in order to test the responses of participants on the level of penalty which would deter them from regulatory transgression under different theorised levels of profit and probability of discovery. Based on the responses of two distinct subject groups (‘bankers’ and ’non-bankers’) in different scenarios of hypothetical capital adequacy violation, the Von Neumann–Morgenstern utility function is reviewed against empirical results and revealed to show a semi-strong correlation. Lastly, the analysis reveals the striking similarities of the two groups’ responses, posing regulatory implications for the industry.
{"title":"The Von Neumann–Morgenstern Curve and Bank Capital Adequacy Penalties—An Empirical Analysis","authors":"Thomas Draper, Stefano Cavagnetto","doi":"10.3390/economies12060150","DOIUrl":"https://doi.org/10.3390/economies12060150","url":null,"abstract":"The risk of lending money collected from savers is that it leaves banks liable to default with depositors if events (and hence repayment demands) become ‘abnormal’. Even though international and national regulation has been introduced to ensure that a certain level of capital is retained by banks, such regulation can be subverted. The current system of international regulation based on the Basel III agreements does not stipulate a standardised approach for inspection frequency or penalty magnitude. This leaves the potential for regulatory arbitrage. The scientific value of an analysis to optimise regulatory efficiency and reduce such arbitrage is therefore considerable. This work therefore assesses the results of the empirical testing of a model based on the Von Neumann–Morgenstern utility function and consequently proposes that this model be used as a basis for standardising capital adequacy limit infraction penalties on an international level to prevent regulatory arbitrage. A survey is undertaken in order to test the responses of participants on the level of penalty which would deter them from regulatory transgression under different theorised levels of profit and probability of discovery. Based on the responses of two distinct subject groups (‘bankers’ and ’non-bankers’) in different scenarios of hypothetical capital adequacy violation, the Von Neumann–Morgenstern utility function is reviewed against empirical results and revealed to show a semi-strong correlation. Lastly, the analysis reveals the striking similarities of the two groups’ responses, posing regulatory implications for the industry.","PeriodicalId":52214,"journal":{"name":"Economies","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141347234","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 : 2024-06-12DOI: 10.3390/economies12060147
S. Demidova, Y. Tyurina, A. Kulachinskaya, Olga Buzdalina, Igor V. Ilin, Victoriya Razletovskaia, Chulpan A. Misbakhova
Tax expenditure management is one of the tools for conducting responsible fiscal policy. Unlike direct expenditures, tax expenditures do not consume resources, but allow the achievement of certain social and economic goals. The purpose of this study is to test the hypothesis of the expediency of using the mechanism of tax expenditures to influence investment activities and the development of priority sectors of the economy. The object of this study was a sample of nine countries of the G-20 group, whose reports provided data on the share of tax expenditures related to investment support and stimulating the development of priority sectors of the economy. The practice of generating reports on tax expenditures is quite common in developed countries, but there are several limitations for cross-country comparison: national characteristics of fiscal elements, and the level of openness and transparency of data on tax expenditures. The scale of using tax expenditures is determined by the multidimensional average method; countries are rated according to the value of the integral indicator. The scale of tax breaks determines the position in the ranking. The effectiveness of using tax breaks is assessed through the coefficient of increase in investment and the coefficient of increase in industrial production. The assessment results show whether economic indicators are outpacing the growth rate of tax benefits and preferences. A study of panel data revealed the average degree of influence of the total amount of tax expenditures on the dynamics of capital investments. The allocation of a target group of tax expenditures related to investment support showed a weak degree of influence on the dynamics of capital investment volumes. The results obtained can be explained by the fact that the allocation of a target group of tax expenditures may not reflect the full range of tax benefits provided to support investments, which is due to the peculiarities of the system of accounting and assessment of tax expenditures in a particular country. In addition, the contribution of tax expenditures may be insignificant if direct forms of support prevail.
{"title":"An Assessment of the Effectiveness and Scale of Tax Expenditures to Support Investments and Priority Sectors in G20 Countries","authors":"S. Demidova, Y. Tyurina, A. Kulachinskaya, Olga Buzdalina, Igor V. Ilin, Victoriya Razletovskaia, Chulpan A. Misbakhova","doi":"10.3390/economies12060147","DOIUrl":"https://doi.org/10.3390/economies12060147","url":null,"abstract":"Tax expenditure management is one of the tools for conducting responsible fiscal policy. Unlike direct expenditures, tax expenditures do not consume resources, but allow the achievement of certain social and economic goals. The purpose of this study is to test the hypothesis of the expediency of using the mechanism of tax expenditures to influence investment activities and the development of priority sectors of the economy. The object of this study was a sample of nine countries of the G-20 group, whose reports provided data on the share of tax expenditures related to investment support and stimulating the development of priority sectors of the economy. The practice of generating reports on tax expenditures is quite common in developed countries, but there are several limitations for cross-country comparison: national characteristics of fiscal elements, and the level of openness and transparency of data on tax expenditures. The scale of using tax expenditures is determined by the multidimensional average method; countries are rated according to the value of the integral indicator. The scale of tax breaks determines the position in the ranking. The effectiveness of using tax breaks is assessed through the coefficient of increase in investment and the coefficient of increase in industrial production. The assessment results show whether economic indicators are outpacing the growth rate of tax benefits and preferences. A study of panel data revealed the average degree of influence of the total amount of tax expenditures on the dynamics of capital investments. The allocation of a target group of tax expenditures related to investment support showed a weak degree of influence on the dynamics of capital investment volumes. The results obtained can be explained by the fact that the allocation of a target group of tax expenditures may not reflect the full range of tax benefits provided to support investments, which is due to the peculiarities of the system of accounting and assessment of tax expenditures in a particular country. In addition, the contribution of tax expenditures may be insignificant if direct forms of support prevail.","PeriodicalId":52214,"journal":{"name":"Economies","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141354214","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 : 2024-06-12DOI: 10.3390/economies12060149
M. Tessmann, M. Passos, O. Khodr, A. Lima, Pedro Henrique Pontes Fontana
This paper seeks to investigate the connectivity of the US economy through the dynamics of the transmission of volatility in sectoral indices. For this, we use daily asset data and two methodologies. The first creates a spillover index that measures market connectivity and the second partitions this index into different frequency bands that denote periods. We found results that show significant transmissions of volatility among the 64 analyzed assets. Notably, the DJIA, Wilshire 5000, and S&P 500 showed significant volatility and were the main drivers of volatility for the other sectors and indices. Results also indicated that sectors that transferred volatility were influenced by three key factors: periods of economic uncertainty, socioeconomic circumstances resulting from post-crisis events, and the impact of economic and financial news on market sentiment. Additionally, we found that global returns and price changes in market indices sent considerable volatility into commodity assets. Our results are potentially useful for investors, portfolio managers, financial economists, financial advisors, financial market regulators, and policymakers.
{"title":"Identifying the Frequency and Connectivity Dynamics of the US Economy","authors":"M. Tessmann, M. Passos, O. Khodr, A. Lima, Pedro Henrique Pontes Fontana","doi":"10.3390/economies12060149","DOIUrl":"https://doi.org/10.3390/economies12060149","url":null,"abstract":"This paper seeks to investigate the connectivity of the US economy through the dynamics of the transmission of volatility in sectoral indices. For this, we use daily asset data and two methodologies. The first creates a spillover index that measures market connectivity and the second partitions this index into different frequency bands that denote periods. We found results that show significant transmissions of volatility among the 64 analyzed assets. Notably, the DJIA, Wilshire 5000, and S&P 500 showed significant volatility and were the main drivers of volatility for the other sectors and indices. Results also indicated that sectors that transferred volatility were influenced by three key factors: periods of economic uncertainty, socioeconomic circumstances resulting from post-crisis events, and the impact of economic and financial news on market sentiment. Additionally, we found that global returns and price changes in market indices sent considerable volatility into commodity assets. Our results are potentially useful for investors, portfolio managers, financial economists, financial advisors, financial market regulators, and policymakers.","PeriodicalId":52214,"journal":{"name":"Economies","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141353073","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 : 2024-06-12DOI: 10.3390/economies12060146
Tuyen Pham, A. Ruhil, G. J. Jolley
The U.S. is currently the country with the highest number of COVID-19 deaths. By the second week of October 2021, over 700,000 people in the U.S. had died after contracting the virus. When estimating the cost and benefit of a COVID-19 prevention measure, the value of a statistical life (VSL) has been widely used as an approximation for the value of a lost life. However, VSL arguably overstates the costs of deaths caused by COVID-19 because VSL captures the private individual’s benefit, and it is the same for everyone regardless of where they live, their productivity, their age, and their gender. In this study, rather than looking at the cost of life loss due to COVID-19, we focus on the opportunity costs of COVID-19 deaths to society. The opportunity cost of COVID-19 deaths is defined as the combination of direct medical costs and the costs of lost potential lifetime earnings. Our analysis focuses on the period from March 2020 to October 2021. We then quantify the average opportunity cost of COVID-19 deaths across the U.S. and by state level.
{"title":"The Opportunity Cost of COVID-19 Deaths in the USA","authors":"Tuyen Pham, A. Ruhil, G. J. Jolley","doi":"10.3390/economies12060146","DOIUrl":"https://doi.org/10.3390/economies12060146","url":null,"abstract":"The U.S. is currently the country with the highest number of COVID-19 deaths. By the second week of October 2021, over 700,000 people in the U.S. had died after contracting the virus. When estimating the cost and benefit of a COVID-19 prevention measure, the value of a statistical life (VSL) has been widely used as an approximation for the value of a lost life. However, VSL arguably overstates the costs of deaths caused by COVID-19 because VSL captures the private individual’s benefit, and it is the same for everyone regardless of where they live, their productivity, their age, and their gender. In this study, rather than looking at the cost of life loss due to COVID-19, we focus on the opportunity costs of COVID-19 deaths to society. The opportunity cost of COVID-19 deaths is defined as the combination of direct medical costs and the costs of lost potential lifetime earnings. Our analysis focuses on the period from March 2020 to October 2021. We then quantify the average opportunity cost of COVID-19 deaths across the U.S. and by state level.","PeriodicalId":52214,"journal":{"name":"Economies","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141352384","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 : 2024-06-12DOI: 10.3390/economies12060148
Cátia Rosário, C. Varum, A. Botelho
This study delves into the intricate relationship between corporate innovation and public support, underscoring innovation’s vital role in driving economic growth and competitiveness. Recognizing the multifaceted nature of innovation, from product and process improvements to organizational and marketing innovations, we examine how specific business characteristics and sectoral specificities condition access to public research and development (R&D) support, both nationally and at the European level. We analyze data from five Community Innovation Survey (CIS) reports spanning from 2008 to 2018 using ordered logit models. This approach evaluates the likelihood of companies receiving recurring public support for R&D based on internal R&D investments, interinstitutional collaboration, employee qualifications, and sectoral attributes. The findings reveal that internal R&D investments and collaboration with other entities significantly increase the likelihood of a company receiving recurrent public support. Furthermore, companies in high-tech sectors are more prone to receive public assistance. However, the analysis of European support shows no widespread statistical significance of the considered variables, suggesting the influence of evolving funding policies and an imbalanced dependent variable distribution. We conclude that the ability to secure public R&D support is influenced by a mix of company-internal and -external factors, highlighting the need for comprehensive and adaptable innovation policies. This study’s limitations, including potential sample non-representativeness and the dynamics of funding policies, underscore the importance of further, more encompassing research.
{"title":"The Role of Public Incentives in Promoting Innovation: An Analysis of Recurrently Supported Companies","authors":"Cátia Rosário, C. Varum, A. Botelho","doi":"10.3390/economies12060148","DOIUrl":"https://doi.org/10.3390/economies12060148","url":null,"abstract":"This study delves into the intricate relationship between corporate innovation and public support, underscoring innovation’s vital role in driving economic growth and competitiveness. Recognizing the multifaceted nature of innovation, from product and process improvements to organizational and marketing innovations, we examine how specific business characteristics and sectoral specificities condition access to public research and development (R&D) support, both nationally and at the European level. We analyze data from five Community Innovation Survey (CIS) reports spanning from 2008 to 2018 using ordered logit models. This approach evaluates the likelihood of companies receiving recurring public support for R&D based on internal R&D investments, interinstitutional collaboration, employee qualifications, and sectoral attributes. The findings reveal that internal R&D investments and collaboration with other entities significantly increase the likelihood of a company receiving recurrent public support. Furthermore, companies in high-tech sectors are more prone to receive public assistance. However, the analysis of European support shows no widespread statistical significance of the considered variables, suggesting the influence of evolving funding policies and an imbalanced dependent variable distribution. We conclude that the ability to secure public R&D support is influenced by a mix of company-internal and -external factors, highlighting the need for comprehensive and adaptable innovation policies. This study’s limitations, including potential sample non-representativeness and the dynamics of funding policies, underscore the importance of further, more encompassing research.","PeriodicalId":52214,"journal":{"name":"Economies","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141352042","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 : 2024-06-11DOI: 10.3390/economies12060145
Malibongwe Cyprian Nyati
Recently, several studies have argued about the interactions of the real economy and financial system, as well as the importance of financial cycles in business cycle fluctuations. To date, there exists near consensus among central bankers, economists, and other scholars that the financial cycle is an important source of business cycle fluctuations. This has raised the question of whether monetary policy should respond to financial instability and/or imbalances. As a result, we asked the following questions: Should monetary policy lean against the wind by targeting the aggregate financial cycle in South Africa? And what is the role of monetary policy in minimizing financial imbalances and instabilities in South Africa? The present article aims to provide answers to the above-mentioned question. Through the adoption of a multiple-equation generalized method of moments and structural vector autoregressive approaches, this article simultaneously estimates and compares both the finance-augmented and the conventional Taylor rules. It is shown that the South African Reserve Bank has considered developments in the aggregate financial cycle in setting its policy rate. Overall, there is clear evidence to conclude that the South African Reserve Bank can lean against the wind by targeting the aggregate financial cycle, but only as a genuine augmentation not as a fully flagged objective. This article adds new evidence to the South African literature on the prevailing debate of whether monetary policy should respond to developments in the financial system.
{"title":"Should Monetary Policy in South Africa Lean against the Wind by Targeting the Financial Cycle?","authors":"Malibongwe Cyprian Nyati","doi":"10.3390/economies12060145","DOIUrl":"https://doi.org/10.3390/economies12060145","url":null,"abstract":"Recently, several studies have argued about the interactions of the real economy and financial system, as well as the importance of financial cycles in business cycle fluctuations. To date, there exists near consensus among central bankers, economists, and other scholars that the financial cycle is an important source of business cycle fluctuations. This has raised the question of whether monetary policy should respond to financial instability and/or imbalances. As a result, we asked the following questions: Should monetary policy lean against the wind by targeting the aggregate financial cycle in South Africa? And what is the role of monetary policy in minimizing financial imbalances and instabilities in South Africa? The present article aims to provide answers to the above-mentioned question. Through the adoption of a multiple-equation generalized method of moments and structural vector autoregressive approaches, this article simultaneously estimates and compares both the finance-augmented and the conventional Taylor rules. It is shown that the South African Reserve Bank has considered developments in the aggregate financial cycle in setting its policy rate. Overall, there is clear evidence to conclude that the South African Reserve Bank can lean against the wind by targeting the aggregate financial cycle, but only as a genuine augmentation not as a fully flagged objective. This article adds new evidence to the South African literature on the prevailing debate of whether monetary policy should respond to developments in the financial system.","PeriodicalId":52214,"journal":{"name":"Economies","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141356399","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 : 2024-06-11DOI: 10.3390/economies12060144
Bao Dinh Ho, Tung Nguyen
This paper assesses how the local institutional environment affects the internationalization of manufacturing small- and medium-sized enterprises (SMEs) in Vietnam, exploiting a multi-dimensional institutional index and large-scale enterprise data. The authors find that the internationalization of manufacturing SMEs was influenced by several institutional aspects, such as the transparency of local authorities, access to land, informal charges, and local labor policies. Improvements in these institutional aspects can substantially enhance participation in international trade and its magnitude. This pattern diverges from their large and foreign counterparts, whose trade participation is primarily affected by land access and the transparency of local authorities. Additionally, the authors find heterogeneous effects of the institutional environment on SMEs in different manufacturing industries. Heavy industries rely more on the costs of entry and time costs, while land access is crucial for SMEs in manufacturing industries that require large-sized factories. Our findings suggest that the government should provide a supportive institutional environment to SMEs, which will lead to higher international participation and boost domestic economic growth.
{"title":"Institutional Quality and Internationalization: Empirical Evidence from Manufacturing SMEs in Vietnam","authors":"Bao Dinh Ho, Tung Nguyen","doi":"10.3390/economies12060144","DOIUrl":"https://doi.org/10.3390/economies12060144","url":null,"abstract":"This paper assesses how the local institutional environment affects the internationalization of manufacturing small- and medium-sized enterprises (SMEs) in Vietnam, exploiting a multi-dimensional institutional index and large-scale enterprise data. The authors find that the internationalization of manufacturing SMEs was influenced by several institutional aspects, such as the transparency of local authorities, access to land, informal charges, and local labor policies. Improvements in these institutional aspects can substantially enhance participation in international trade and its magnitude. This pattern diverges from their large and foreign counterparts, whose trade participation is primarily affected by land access and the transparency of local authorities. Additionally, the authors find heterogeneous effects of the institutional environment on SMEs in different manufacturing industries. Heavy industries rely more on the costs of entry and time costs, while land access is crucial for SMEs in manufacturing industries that require large-sized factories. Our findings suggest that the government should provide a supportive institutional environment to SMEs, which will lead to higher international participation and boost domestic economic growth.","PeriodicalId":52214,"journal":{"name":"Economies","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141357664","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 : 2024-06-07DOI: 10.3390/economies12060143
Michael Pirgmann, Petr Wawrosz
This study investigates the impact of central bank digital currencies (CBDCs) on monetary policy flexibility, the effective lower bound (ELB), and negative interest rate policies (NIRPs), specifically in the case of the digital euro (DE). Through a combination of theoretical modeling and empirical analysis, including two extensive surveys among EU participants, we explore whether CBDCs can change the ELB and affect consumer preferences in favor of the digital euro over physical cash. Our findings indicate that the introduction of the DE could potentially move the ELB from its current value of around −1.30% by approximately 0.25%. If agents had the possibility to move their deposits into both cash and DE, they would convert approximately 52% of the converted amount into cash and the rest into CBDCs. However, over a 10 year period, the situation would shift in favor of the DE, with a share of 63%. Both findings show that NIRPs will be more limited in the case of the introduction of CBDCs (DE). These facts must be considered both when deciding whether to introduce a CBDC (DE) and after its eventual introduction in the case of NIRP application.
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