Pub Date : 2025-12-06DOI: 10.1016/j.jacceco.2025.101855
David P. Weber, Nina Xu, Kangkang Zhang
{"title":"SEC Scrutiny and Corporate Risk-Taking","authors":"David P. Weber, Nina Xu, Kangkang Zhang","doi":"10.1016/j.jacceco.2025.101855","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101855","url":null,"abstract":"","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"15 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145689472","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 : 2025-12-05DOI: 10.1016/j.jacceco.2025.101854
Martin Kapons, David Veenman
This paper examines the function of accruals in measuring quarterly firm performance. We show that operating accruals play a pronounced role in offsetting quarterly cash flow fluctuations and that this timing role is much stronger than concluded based on annual measurements in the recent literature. A fundamental driver of this timing role of accruals is the significant seasonal variation in operating cash flows, which is determined by the interaction between sales seasonality and working capital policies. We further find that the seasonality in cash flows and the offsetting role of accruals have declined over time. We link this trend to international diversification, trends in the importance and seasonality of retail sales, zero-inventory firms, market power, and the rise in supply chain finance.
{"title":"Seasonal variation in cash flows and the timing role of accruals","authors":"Martin Kapons, David Veenman","doi":"10.1016/j.jacceco.2025.101854","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101854","url":null,"abstract":"This paper examines the function of accruals in measuring quarterly firm performance. We show that operating accruals play a pronounced role in offsetting quarterly cash flow fluctuations and that this timing role is much stronger than concluded based on annual measurements in the recent literature. A fundamental driver of this timing role of accruals is the significant seasonal variation in operating cash flows, which is determined by the interaction between sales seasonality and working capital policies. We further find that the seasonality in cash flows and the offsetting role of accruals have declined over time. We link this trend to international diversification, trends in the importance and seasonality of retail sales, zero-inventory firms, market power, and the rise in supply chain finance.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"140 1","pages":"101854"},"PeriodicalIF":1.2,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145704996","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 : 2025-11-21DOI: 10.1016/j.jacceco.2025.101853
Jinhwan Kim, Kristen Valentine
{"title":"Earnings Targets, Strategic Patent Sales, and Patent Trolls","authors":"Jinhwan Kim, Kristen Valentine","doi":"10.1016/j.jacceco.2025.101853","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101853","url":null,"abstract":"","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"5 1","pages":"101853"},"PeriodicalIF":1.2,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145575614","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 : 2025-11-15DOI: 10.1016/j.jacceco.2025.101852
Neil Bhattacharya, Bidisha Chakrabarty, Matthew Ma, Jing Pan
As markets replace contractual liquidity providers (designated market makers; DMMs) with voluntary liquidity provision through cutting-edge technology, we investigate how this affects price discovery. Research suggests that endogenous liquidity provision is not always optimal. We investigate how DMMs affect the incorporation of earnings news into prices. Using a regression discontinuity design, we show that increased DMM participation facilitates earnings news discovery—lower JUMP, lower Synchronicity, and higher Future Earnings Response Coefficient. Greater DMM participation associates with improved liquidity, and induces greater informed trading as evidenced by more short selling on negative news and increased EDGAR and Bloomberg search activity before earnings announcements. Our results highlight an important and hitherto overlooked effect of modern technology on processing earnings information.
{"title":"Do Designated Market Makers Facilitate Earnings News Discovery?","authors":"Neil Bhattacharya, Bidisha Chakrabarty, Matthew Ma, Jing Pan","doi":"10.1016/j.jacceco.2025.101852","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101852","url":null,"abstract":"As markets replace contractual liquidity providers (designated market makers; DMMs) with voluntary liquidity provision through cutting-edge technology, we investigate how this affects price discovery. Research suggests that endogenous liquidity provision is not always optimal. We investigate how DMMs affect the incorporation of earnings news into prices. Using a regression discontinuity design, we show that increased DMM participation facilitates earnings news discovery—lower <ce:italic>JUMP</ce:italic>, lower <ce:italic>Synchronicity</ce:italic>, and higher Future Earnings Response Coefficient. Greater DMM participation associates with improved liquidity, and induces greater informed trading as evidenced by more short selling on negative news and increased EDGAR and Bloomberg search activity before earnings announcements. Our results highlight an important and hitherto overlooked effect of modern technology on processing earnings information.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"107 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145536360","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}
Purpose: Taxes play a critical role for most governments around the world in funding investments in capital, infrastructure and the delivery of essential services. The study therefore sought to examine the effect of trade openness and agriculture on tax revenue performance in Kenya.
Methodology: The study adopted correlational research design, Vector Error Correction Model (VECM) mechanism and Granger causality test to establish the relationship between the study variables. The choice of the VECM was influenced by its ability to estimate both short run and long run relationships. The theoretical framework of the study followed Heller’s neoclassical maximization utility approach. Annual time series data for the study were sourced from the World Bank Development Indicators for the period 1980-2020.
Results: The study findings established that in the long-run agriculture share (-0.64, t-statistics = 14.57) and trade openness (-0.08, t-statistics = 3.88) have negative and significant effect on tax revenue performance in Kenya. The Pairwise Granger Causality test results indicated unidirectional causality running from tax revenue performance to trade openness. This suggests that tax rates have effect on trade openness in Kenya.
Unique Contribution to Theory, Policy and Practice: The study adds to literature by proving the Arthur’s Laffer curve theory which advocates for lowering tax rates in order to boost productivity and encourage expansion of corporation. The findings of the study may provide the National Treasury with foundation for policy formulation and analytical framework for estimating the associated tax revenue with variables under consideration in this study. The study may be of importance to KRA in determining appropriate tax rates that are favorable in boosting revenue mobilization.
{"title":"Effect of Trade Openness and Agriculture on Tax Revenue Performance in Kenya","authors":"Jordan Moses, Nelson Obange, Evans Kiganda","doi":"10.47604/ijecon.2122","DOIUrl":"https://doi.org/10.47604/ijecon.2122","url":null,"abstract":"Purpose: Taxes play a critical role for most governments around the world in funding investments in capital, infrastructure and the delivery of essential services. The study therefore sought to examine the effect of trade openness and agriculture on tax revenue performance in Kenya.
 Methodology: The study adopted correlational research design, Vector Error Correction Model (VECM) mechanism and Granger causality test to establish the relationship between the study variables. The choice of the VECM was influenced by its ability to estimate both short run and long run relationships. The theoretical framework of the study followed Heller’s neoclassical maximization utility approach. Annual time series data for the study were sourced from the World Bank Development Indicators for the period 1980-2020.
 Results: The study findings established that in the long-run agriculture share (-0.64, t-statistics = 14.57) and trade openness (-0.08, t-statistics = 3.88) have negative and significant effect on tax revenue performance in Kenya. The Pairwise Granger Causality test results indicated unidirectional causality running from tax revenue performance to trade openness. This suggests that tax rates have effect on trade openness in Kenya.
 Unique Contribution to Theory, Policy and Practice: The study adds to literature by proving the Arthur’s Laffer curve theory which advocates for lowering tax rates in order to boost productivity and encourage expansion of corporation. The findings of the study may provide the National Treasury with foundation for policy formulation and analytical framework for estimating the associated tax revenue with variables under consideration in this study. The study may be of importance to KRA in determining appropriate tax rates that are favorable in boosting revenue mobilization.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135195365","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}
Purpose: This study examined the performance of food and beverage industries in Tanzania in terms of productive and technical efficiency. The specific objectives of the study were to evaluate the productive efficiency performance of food and beverage industries in Tanzania, to determine the level and trend of efficiency of food and beverage of food and beverage industry in Tanzania, and to assess the levels of productive efficiency performance in the food and beverage subsectors in Tanzania
Methodology: The study used secondary data to achieve its objectives. The study employed a Panel data analysis technique using 40 companies in the manufacturing sector over a period of three years, 2018-2020. A stochastic frontier production model was applied using a linearized Translog production function to determine the performance elasticity coefficients of inputs and technical efficiency. The study used production theory advanced by Koutsoyiannis (1979) to explain the relatonship between input and output factors.
Findings: One of the key findings was that the level and trend of efficiency in food and beverage industry demonstrated an upward trend for the period between 2018 and 2020 as evidenced by the changes in average in both food and beverage sub-sector which grew from 0.776 in 2018 to 0.7557 in 2019 and finally to 0.7746 in 2020. Another finding of the study was that, the individual productive efficiency distribution between food and beverage sub-sector revealed that beverage sub-sector performs much better than food sub-sectors, with an average technical efficiency of 77.85% and 81.36% for both food and beverage sub-sectors, respectively.
Unique Contribution to Theory, Practice and Policy: The study’s unique contributions to theory include its assessment of efficiency levels, analysis of efficiency trends, and exploration of sector-specific variations. Its practical contributions encompass policy recommendations, guidance on modernization and technology adoption, and the importance of skills development and export promotion. These insights have direct implications for policymakers, industry stakeholders, and practitioners in Tanzania's food and beverage sector, aiding in the formulation of effective strategies to enhance efficiency and competitiveness.
The study recommends that the government and other stakeholders comes up with policy reforms to address the underlying factors contributing to the underutilization of each firm’s production capacity. This includes reforming the input market in the manufacturing sector in order to increase the level of efficiency to 100%. There should be establishment of an efficient marketing mechanism that reduces the involvement of many parties in the supply chain and hence high transaction costs.
{"title":"Efficiency Analysis of the Food and Beverage Industry in Tanzania: A Comparative Analysis","authors":"Veneranda Lufano, Gabriel Kirori, Rose Mugiira","doi":"10.47604/ijecon.2119","DOIUrl":"https://doi.org/10.47604/ijecon.2119","url":null,"abstract":"Purpose: This study examined the performance of food and beverage industries in Tanzania in terms of productive and technical efficiency. The specific objectives of the study were to evaluate the productive efficiency performance of food and beverage industries in Tanzania, to determine the level and trend of efficiency of food and beverage of food and beverage industry in Tanzania, and to assess the levels of productive efficiency performance in the food and beverage subsectors in Tanzania
 Methodology: The study used secondary data to achieve its objectives. The study employed a Panel data analysis technique using 40 companies in the manufacturing sector over a period of three years, 2018-2020. A stochastic frontier production model was applied using a linearized Translog production function to determine the performance elasticity coefficients of inputs and technical efficiency. The study used production theory advanced by Koutsoyiannis (1979) to explain the relatonship between input and output factors.
 Findings: One of the key findings was that the level and trend of efficiency in food and beverage industry demonstrated an upward trend for the period between 2018 and 2020 as evidenced by the changes in average in both food and beverage sub-sector which grew from 0.776 in 2018 to 0.7557 in 2019 and finally to 0.7746 in 2020. Another finding of the study was that, the individual productive efficiency distribution between food and beverage sub-sector revealed that beverage sub-sector performs much better than food sub-sectors, with an average technical efficiency of 77.85% and 81.36% for both food and beverage sub-sectors, respectively.
 Unique Contribution to Theory, Practice and Policy: The study’s unique contributions to theory include its assessment of efficiency levels, analysis of efficiency trends, and exploration of sector-specific variations. Its practical contributions encompass policy recommendations, guidance on modernization and technology adoption, and the importance of skills development and export promotion. These insights have direct implications for policymakers, industry stakeholders, and practitioners in Tanzania's food and beverage sector, aiding in the formulation of effective strategies to enhance efficiency and competitiveness.
 The study recommends that the government and other stakeholders comes up with policy reforms to address the underlying factors contributing to the underutilization of each firm’s production capacity. This includes reforming the input market in the manufacturing sector in order to increase the level of efficiency to 100%. There should be establishment of an efficient marketing mechanism that reduces the involvement of many parties in the supply chain and hence high transaction costs.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135959929","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}
Purpose: The objective was to determine the effect of per capita income on youth unemployment in Kenya.
Methodology: The study was anchored on Okun’s law, which predicts a 1% drop in employment from a 2% drop in GDP. The study used the World Bank Database’s quantitative time series data from 1991–2021. The choice of the ARDL was based on the ability of the model to give long-run and short-run analyses of stationary and non-stationary variables. Pre-estimation procedures and diagnostics tests were used to determine the stability of the model.
Findings: Findings revealed a significant negative relationship between per capita income (-0.3666, p = 0.013) and youth unemployment in the long-run. The speed of adjustment (-0.89999, p = 0.0001) from the short-run to the long-run is evident.
Unique Contribution to Theory, Practice and Policy: This study may help academicians develop their knowledge of youth unemployment. It may increase understanding of per capita income as an indicator of growth and its application in Okun’s law. The Salaries and Remuneration Commission (SRC) may benefit from this study by creating better packages of salaries, allowances, and mortgages that may attract and improve the standard of living of Kenyan youth. The Public Service Board (PSB) may establish youth-friendly offices to motivate youth to stay in the labour force. Moreover, this study may guide the State Department for Youth Affairs to promote youth employment and increase labour productivity in Kenya. The State Department of Gender may use the study in gender mainstreaming and gender policy management. Policymakers will assess the effectiveness of the curriculum in preparing youth for the job market. An increase in labour productivity will result from increasing youth employment.
{"title":"Effect of Per Capita Income on Youth Unemployment in Kenya","authors":"Jerry Okuom, Nelson Obange, Scholastica Odhiambo","doi":"10.47604/ijecon.2118","DOIUrl":"https://doi.org/10.47604/ijecon.2118","url":null,"abstract":"Purpose: The objective was to determine the effect of per capita income on youth unemployment in Kenya.
 Methodology: The study was anchored on Okun’s law, which predicts a 1% drop in employment from a 2% drop in GDP. The study used the World Bank Database’s quantitative time series data from 1991–2021. The choice of the ARDL was based on the ability of the model to give long-run and short-run analyses of stationary and non-stationary variables. Pre-estimation procedures and diagnostics tests were used to determine the stability of the model.
 Findings: Findings revealed a significant negative relationship between per capita income (-0.3666, p = 0.013) and youth unemployment in the long-run. The speed of adjustment (-0.89999, p = 0.0001) from the short-run to the long-run is evident.
 Unique Contribution to Theory, Practice and Policy: This study may help academicians develop their knowledge of youth unemployment. It may increase understanding of per capita income as an indicator of growth and its application in Okun’s law. The Salaries and Remuneration Commission (SRC) may benefit from this study by creating better packages of salaries, allowances, and mortgages that may attract and improve the standard of living of Kenyan youth. The Public Service Board (PSB) may establish youth-friendly offices to motivate youth to stay in the labour force. Moreover, this study may guide the State Department for Youth Affairs to promote youth employment and increase labour productivity in Kenya. The State Department of Gender may use the study in gender mainstreaming and gender policy management. Policymakers will assess the effectiveness of the curriculum in preparing youth for the job market. An increase in labour productivity will result from increasing youth employment.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135957983","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 : 2023-09-17DOI: 10.34104/ijma.023.0074090
Ever since the commercialization of the Internet in the '90s, technology has been evolving faster than ever with the advent of cloud computing, social media, ubiquitous mobile devices, the Internet of Things (IoT), blockchain, and more. A staggering number of three billion internet users, five billion mobile users, and six billion devices are now connected through this massive global network of networks, facilitating customer information exchange and interaction never before seen in history. Driven by recent technological advances in computing power, big data, high-speed internet connection, and easier access to models built with advanced algorithms, Artificial Intelligence (AI) is the next wave of innovation, which has already come into widespread awareness in the consumer world with the emergence of virtual assistants and chatbots (e.g., Amazon's Alexa, Apple's Siri, Google's Assistant), image recognition (e.g., Facebook Photos, Google ImageNet), personalized recommendations (e.g., Netflix, Amazon) and autonomous driving (e.g., Tesla, Google Waymo). This qualitative research study intends to learn about the impact of AI on customer relationship management (CRM), specifically in the area of customer service of problem resolution. Most prior research focuses on the AI technologies leveraged in CRM systems, such as machine learning, natural language processing, voice recognition, chatbots, data analytics, and cloud infrastructure. Few extant studies have used a qualitative research methodology to gather data from industry experts to truly understand the impact of AI technologies on customer relationship management, especially in the area of customer service and problem resolution. This study aims to fill this research gap. This research contributes to the literature on AI in the context of CRM and is of value to both academics and practitioners as it provides a detailed analysis and documentation of the impact of AI on the customer service domain.
{"title":"The Impact of Artificial Intelligence (AI) on Customer Relationship Management: A Qualitative Study","authors":"","doi":"10.34104/ijma.023.0074090","DOIUrl":"https://doi.org/10.34104/ijma.023.0074090","url":null,"abstract":"Ever since the commercialization of the Internet in the '90s, technology has been evolving faster than ever with the advent of cloud computing, social media, ubiquitous mobile devices, the Internet of Things (IoT), blockchain, and more. A staggering number of three billion internet users, five billion mobile users, and six billion devices are now connected through this massive global network of networks, facilitating customer information exchange and interaction never before seen in history. Driven by recent technological advances in computing power, big data, high-speed internet connection, and easier access to models built with advanced algorithms, Artificial Intelligence (AI) is the next wave of innovation, which has already come into widespread awareness in the consumer world with the emergence of virtual assistants and chatbots (e.g., Amazon's Alexa, Apple's Siri, Google's Assistant), image recognition (e.g., Facebook Photos, Google ImageNet), personalized recommendations (e.g., Netflix, Amazon) and autonomous driving (e.g., Tesla, Google Waymo). This qualitative research study intends to learn about the impact of AI on customer relationship management (CRM), specifically in the area of customer service of problem resolution. Most prior research focuses on the AI technologies leveraged in CRM systems, such as machine learning, natural language processing, voice recognition, chatbots, data analytics, and cloud infrastructure. Few extant studies have used a qualitative research methodology to gather data from industry experts to truly understand the impact of AI technologies on customer relationship management, especially in the area of customer service and problem resolution. This study aims to fill this research gap. This research contributes to the literature on AI in the context of CRM and is of value to both academics and practitioners as it provides a detailed analysis and documentation of the impact of AI on the customer service domain.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135303865","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 : 2023-08-08DOI: 10.34104/ijma.023.0066073
This paper aims to measure and identify the determinants of financial stability of conventional commercial banks of Bangladesh listed on the Dhaka Stock Exchange. In the first step, the researcher calculates an accounting-based Z-score to measure the financial stability of the 23 sample banks over the period 2013-2022. In the second phase of the study, panel data regression analysis is conducted to identify the bank-specific determinants of financial stability. The exogenous variables include return on asset, income diversity, bank size, non-performing loan liquidity, capital adequacy, and management efficiency. The endogenous variable is the financial stability measured by z-score. The study provides empirical evidence of the bank-specific factors affecting the solvency of conventional commercial banks in Bangladesh.
{"title":"Using the Z-score to analyze the Financial Stability of Conventional Commercial Banks in Bangladesh","authors":"","doi":"10.34104/ijma.023.0066073","DOIUrl":"https://doi.org/10.34104/ijma.023.0066073","url":null,"abstract":"This paper aims to measure and identify the determinants of financial stability of conventional commercial banks of Bangladesh listed on the Dhaka Stock Exchange. In the first step, the researcher calculates an accounting-based Z-score to measure the financial stability of the 23 sample banks over the period 2013-2022. In the second phase of the study, panel data regression analysis is conducted to identify the bank-specific determinants of financial stability. The exogenous variables include return on asset, income diversity, bank size, non-performing loan liquidity, capital adequacy, and management efficiency. The endogenous variable is the financial stability measured by z-score. The study provides empirical evidence of the bank-specific factors affecting the solvency of conventional commercial banks in Bangladesh.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"14 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78449173","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 : 2023-07-30DOI: 10.38203/jiem.023.2.0065
Bilame Odass
Domestic investment is a key component of the economic growth of any country. In recent years, the growth of domestic investment has not been optimistic. This study aims at analyzing the factors affecting domestic investment in Tanzania. Time-series data of the 1980- 2020 period is used to empirically analyse the performance of the domestic investment. The study applies the Error Correction Model (ECM) to estimate the parameters. Factors affecting domestic investment in Tanzania are critically analysed. The factors influencing domestic investment includes money supply, interest rate, savings rate, and government expenditure. The regression results of this study show that government expenditure is insignificant in influencing domestic investment while money supply, interest rate, and savings rate are statistically significant. To this end, measures that influence domestic investment are indeed called for, implying a need for policies that can control interest rates, savings rates, and money supply . This paper recommends putting in place a conducive environment that could accelerate financial intermediation and domestic savings mobilization in order to improve domestic investment. Furthermore, the study suggests the encouragement of investment incentives and the establishment of vibrant investment promotion agencies.
{"title":"Performance of domestic investment in Tanzania: an empirical analysis over the 1980 – 2020 period","authors":"Bilame Odass","doi":"10.38203/jiem.023.2.0065","DOIUrl":"https://doi.org/10.38203/jiem.023.2.0065","url":null,"abstract":"Domestic investment is a key component of the economic growth of any country. In recent years, the growth of domestic investment has not been optimistic. This study aims at analyzing the factors affecting domestic investment in Tanzania. Time-series data of the 1980- 2020 period is used to empirically analyse the performance of the domestic investment. The study applies the Error Correction Model (ECM) to estimate the parameters. Factors affecting domestic investment in Tanzania are critically analysed. The factors influencing domestic investment includes money supply, interest rate, savings rate, and government expenditure. The regression results of this study show that government expenditure is insignificant in influencing domestic investment while money supply, interest rate, and savings rate are statistically significant. To this end, measures that influence domestic investment are indeed called for, implying a need for policies that can control interest rates, savings rates, and money supply . This paper recommends putting in place a conducive environment that could accelerate financial intermediation and domestic savings mobilization in order to improve domestic investment. Furthermore, the study suggests the encouragement of investment incentives and the establishment of vibrant investment promotion agencies.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"19 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90666735","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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