International Journal of Economics Management and Accounting最新文献

{"title":"Unraveling the time-series dynamics between aggregate earnings and GDP","authors":"Lindsey A. Gallo, Hengda Jin, Suhas A. Sridharan","doi":"10.1016/j.jacceco.2025.101806","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101806","url":null,"abstract":"This paper examines time-series variation in the relationship between aggregate earnings and GDP (AEG). Using quarterly data from 1979-2019, we document that aggregate earnings are positively associated with future real GDP after 2000 but not before. We further show that this variation does not result from an association between aggregate earnings and the corporate profits component of GDP. Instead, we discover that aggregate special items — not core earnings — drive the post-2000 AEG by conveying information about labor market outcomes. Specifically, aggregate special items relate to future GDP only when they predict wages and worker displacement. Our study contributes to the literature by documenting previously unexplored time variation in the AEG relationship and identifying its source, challenging conventional assumptions about how aggregate accounting measures signal future economic conditions.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"39 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144566521","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":"Estimating Profitability Decomposition Frameworks via Machine Learning: Implications for Earnings Forecasting and Financial Statement Analysis","authors":"Oliver Binz, Katherine Schipper, Kevin R. Standridge","doi":"10.1016/j.jacceco.2025.101805","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101805","url":null,"abstract":"We find that nonlinear estimation of profitability decomposition frameworks yields more accurate out-of-sample profitability forecasts than forecasts from both a random walk and linear estimation. The improvements derive from nonlinear estimation and synergies between nonlinear estimation and profitability decomposition frameworks. We analyze three essential financial statement analysis design choices to provide insights for the practice of fundamental analysis and find robust evidence that higher levels of profitability decomposition, focusing on core items, and using up to three years of historical information improve forecast accuracy. We find that our forecasts predict returns and profitability changes before and after controlling for analyst forecasts and common asset pricing factors.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"244 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337782","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":"Trading of Emission Allowances and Reporting Incentives","authors":"Donald N’Gatta, Gaizka Ormazabal, Robert Raney","doi":"10.1016/j.jacceco.2025.101804","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101804","url":null,"abstract":"This paper examines the role of reporting incentives on the trading of emission allowances. Our tests are based on a wide international sample of firms and data from the European Union Emission Trading System (EU ETS), which is the most liquid and developed in the world. We find evidence consistent with the notion that excess allowances combined with historical cost accounting for emission rights provide firms the opportunity to obtain a reporting benefit from selling emission allowances. We observe more frequent selling of allowances when the transactions are likely to boost earnings to avoid accounting losses. The documented trading activity increases in the ETS market towards the end of the year and is associated with selling imbalance and effects on carbon pricing, which in turn affect firms’ emission abatement incentives. Our results have implications for the debate on the institutional design of carbon markets and on the need to define an accounting standard for emission allowances.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"13 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144304680","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":"With a grain of salt: Investor reactions to uncertain news and (Non)disclosure","authors":"Jonathan Libgober, Beatrice Michaeli, Elyashiv Wiedman","doi":"10.1016/j.jacceco.2025.101802","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101802","url":null,"abstract":"We examine how external news with uncertain precision influences investor beliefs, market prices, and corporate disclosures. We find that good external (and public) news is taken with a grain of salt—specifically, it is perceived as unlikely to be precise—confirming investor beliefs that nondisclosing managers are hiding unfavorable (private) information. As a result, better external news may paradoxically lead to lower market valuation. Overall, we find that, amid management silence, equilibrium stock prices are nonmonotonic in (and react asymmetrically to) external news. We also predict that the probability of disclosure depends on the timing of the disclosure, the positivity of external news, and the financial strength of the industry.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"21 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144304958","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":"Do major corporate customers deter supplier misconduct?","authors":"Jie Chen, Xunhua Su, Xuan Tian, Bin Xu, Luo Zuo","doi":"10.1016/j.jacceco.2025.101801","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101801","url":null,"abstract":"We examine whether major corporate customers can deter misconduct among their suppliers. Our findings indicate that firms with concentrated customer bases are less likely to commit misconduct and face lower penalties in equilibrium. We also observe a significant decline in supplier misconduct following the establishment of a major customer relationship. Furthermore, the deterrent effect of major customers is more pronounced when customer pressure to reduce supplier misconduct risk is higher. Additional analyses suggest that major customers exercise their exit option to penalize suppliers after acute violations. Overall, our results suggest that major customers play a crucial role in deterring supplier misconduct.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"18 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144133753","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":"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":"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":"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":"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}