International Journal of Economics Management and Accounting最新文献

{"title":"Reflections on the founding of the journal of accounting andeconomics","authors":"Jerold L. Zimmerman","doi":"10.1016/j.jacceco.2024.101762","DOIUrl":"https://doi.org/10.1016/j.jacceco.2024.101762","url":null,"abstract":"","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"2 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142874776","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}

{"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}

{"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}

{"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}

{"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}

{"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}

{"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}

{"title":"Factors influencing the participation of Vietnamese enterprises in global value chains: insights from automobile production and assembly, electronics and textile industries","authors":"Binh Nguyen Thi, Hương Trần Mai, Trang Hoàng Thị Đoan, L. Nguyen, Y. T. Nguyen","doi":"10.38203/jiem.023.2.0066","DOIUrl":"https://doi.org/10.38203/jiem.023.2.0066","url":null,"abstract":"This study aims to examine factors influencing global value chain position of enterprises from main industry sectors of Vietnam. In order to attain such objectives, the panel data analysis was conducted based on 208 observations from 52 enterprises in the automobile production and assembly, electronics and textile industries during the 2016 to 2020 period. The multiple linear regression model is utilized to analyse the factors influencing the participation of such industry sectors in the global value chain. The results indicate that technological capability has the most significant positive influence on the participation of Vietnamese enterprises in the global value chain, followed by FDI and business size. In contrast, the factor of business age does not seem to have a discernible effect. These findings bring some policy implications on the improvement of the country's position in the global value chain, focusing on selected industries including automotive, electronics and textile.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"35 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77215119","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}

{"title":"Factors affecting incomes of ethnic minority households: a case study in Khanh Vinh district, Khanh Hoa province","authors":"Van Mung Ho, Hong Manh Pham, Van Dung Dinh","doi":"10.38203/jiem.023.2.0067","DOIUrl":"https://doi.org/10.38203/jiem.023.2.0067","url":null,"abstract":"This study aims to determine factors affecting incomes of poor ethnic minority households in the Khanh Vinh district, Khanh Hoa province. Through survey data of ethnic minority households in Khanh Vinh district, this study used an econometric model to analyze the influence of factors on the incomes of ethnic minority households in the area. The research results found that the factors having the impact on the incomes of ethnic minority households in this area include: ethnic characteristics, household size, number of livelihood activities, leisure time during the year, and time to access productive land. The results of this study provide more empirical evidence in the study on factors affecting the income of ethnic minority households in Vietnam in general and in Khanh Hoa province in particular. By detailed analysis the factors affecting the income of ethnic minority households in Khanh Vinh district, Khanh Hoa province, the study enriches the literature on poverty and livelihoods in ethinic minority household’s community and provides useful information for policymakers and practitioners in designing effective programs to improve household incomes and develop sustainable livelihoods for ethnic minority households in this area.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"81 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89430780","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}

{"title":"The factors impact to resilience capacity after natural disasters of rural households in Vietnam","authors":"Thi Mai Chi Nguyen, M. P. Tran, Le Nhu Y Nguyen, Hien Hai Huynh","doi":"10.38203/jiem.023.2.0068","DOIUrl":"https://doi.org/10.38203/jiem.023.2.0068","url":null,"abstract":"This research analyzes the factors that affect resilience after natural disasters of 997 households in rural areas of Vietnam in 2008, 2010, 2012, 2014, and 2016 by using logistic regression. The research results show that factors such as receiving timely warnings related to natural disasters, not taking measures to respond to natural disasters, and putting trust in the community will improve resilience after natural disasters. If the household head is of Kinh ethnicity and participates in community organizations, the response capacity whenever a disaster occurs is higher, and vice versa. Additionally, household heads not responding to natural disasters, instead receiving support from their relatives and friends and borrowing capital positively affect resilience capacity after one year since the disaster. In cases where Kinh women are household heads and join social communities, the resilience capacity after one year also increases. Besides, the research suggests some solutions to develop resilience capacity, which focus on the relationship between characteristics of households, household heads, and disaster response with the resilience capacity of rural households in Vietnam. Finally, this research proposes some suitable policies to improve resilience capacity in Vietnamese rural areas.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"123 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77715462","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}