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This paper aims to provide evidence of an unintended observable consequence of International Financial Reporting Standards (IFRS) adoption by examining opportunistic use of earnings management through revenue as well as expense items classification shifting in the year of transition.

To document classification shifting, the authors take advantage of the Korean mandatory IFRS adoption in 2011, when broad discretion was given to publicly traded companies’ managers to present operating profits.

It is found that companies strategically use both revenues and expenses to manage core earnings at the time of transition by shifting other income as a common tactic to improve their operating performance and special expenses just to meet or beat earnings targets.

Given the concerns of the Securities and Exchange Commission (SEC) about classification shifting behavior and the debate over whether the SEC should mandate the use of IFRS for US companies, the findings of this study are timely and contribute to authors’ understanding of the unintended consequences of mandatory IFRS adoption.

This study aims to investigate whether managers of Japanese firms that adopt international financial reporting standards (IFRS) engage in earnings management by shifting core expenses to reported discontinued operations. Based on this purpose, the author also investigates the impact of continuing operations reporting on core earnings.

This study uses regression analysis mainly using the expected-core-earnings model (McVay, 2006) on a sample of Japanese firms adopting IFRS. The sample consists of 317 firm-year observations representing 48 Japanese firms that adopted IFRS from 2010 to 2018, noting that Japan has adopted IFRS since 2010.

The author finds that firms shift operating expenses of continuing operations to discontinued operations to increase core earnings. Additionally, the author desegregates reported discontinued operations into core and non-core earnings because previous literature assumes that firms engage in classification shifting using special items. Results reveal that firms use the classification shifting using negative non-core earnings of discontinued operations. Furthermore, the income-increasing discontinued operations negatively influence both current and future core earnings while income-decreasing discontinued operations do not.

The result could rely on the efficiency of the expected core earnings model. The author intentionally use only the Japanese sample rather than a global sample to control the characteristics of each country that can be noise; it could be a bias of this study.

The author revealed that firms engaged in the classification shifting using negative non-core earnings of discontinued operations. Providing detailed information on discontinued operations, segmented core earnings and non-core earnings (special items) is necessary. Deficiency of details on discontinued operations can create information asymmetry between managers and investors. It can encourage managers to engage in opportunistically earnings management using discontinued operations, taking advantage of investors’ ignorance of the nature of the expenses allocated to discontinued operations.

This study would be beneficial to investors by informing them of the potential usefulness and risks of IFRS because it is believed that IFRS is to be the predominant set of accounting standards in the world.

The author exposes a potential earnings management practice under IFRS by extending the literature on classification shifting through examining the relationship between unexpected core earnings and discontinued operations. The author extends prior research for classification, developing it to an investigation of the impact on core earnings, finding that income-increasing discontinued operations negatively influence core earnings, whereas income-decreasing discontinued operations do not. This study indicates that standard setters should pay close attention to the potential problems of line-item separations of discontinued operations.

This study aims to examine whether debt financing creates incentives for private firms to engage in earnings management via classification shifting. Especially, the authors examine whether debt-induced financial reporting incentives differ depending on the type of debt (i.e. public bonds versus private loans) and whether such incentives are influenced by the characteristics of external auditors (i.e. initial audits and auditor size).

The study uses data on 93,427 Korean private firms from 2001 to 2016. Classification shifting is measured by the positive correlation between non-core expenses and unexpected core earnings estimated with ordinary least squares.

The empirical analyses reveal that private firms engage in classification shifting as do public firms. Importantly, classification shifting is observed only in private firms that have outstanding debt, but not in private firms without debt. Among debt-financing private firms, classification shifting is more prevalent for firms that issue public debt than for firms that only use private debt. In addition, classification shifting of debt-financing private firms is more successful when they are audited by new auditors that are one of the non-Big 4 firms.

The study provides evidence of classification shifting in private firms, which is novel to the literature. However, the inferences in the study depend on the validity of the model for detecting classification shifting.

This study helps lenders enhance their understanding on the financial reporting behaviors of borrowing firms. The results in this study suggest that lenders should be cautious in using core earnings for their investment decisions.

This study contributes to the literature by providing novel evidence of classification shifting in private firms. In addition, the authors contribute to the literature on debt-induced incentives for financial reporting.

Explains the importance of assessing country risk to lenders and investors, outlines previous research on techniques for doing this and describes a classification method: the multi‐group hierarchical discrimination method (MHD). Applies this to 1978‐1995 data for 143 countries, subdivided into four income groups, and compares the results with those from multiple discriminant, logit and probit analyses using jackknife procedures. Finds MHD more accurate overall and for most income groups except the lower‐middle income economies. Briefly considers other applications for MHD and avenues for further research.

The purpose of this paper is to examine market concentration, economies of scale, economies of scope, and the relative size of a particular fund, within a fund family, as determinants of mutual‐fund expense ratio. This examination is focused at the asset‐manager level and is based on the Morningstar equity and fixed‐income style classifications.

All data used in this study come from the July Morningstar Principia database for the years 1997 through 2006. One challenge of working with these data is that Morningstar treats each separate class of a fund as though it were an individual fund. As a result all Morningstar data items are reported for each fund class as though they are data items for a separate fund. The data are modified so that the items for separate classes of a fund are merged into data for a single fund. For example, assets in a fund become the total of the assets in each class of the fund.

This study contributes to the literature on mutual‐fund managers, and the literature on the structure of mutual funds, by showing that market concentration at the asset‐manager level varies substantially across Morningstar styles, particularly for the fixed‐income funds. The paper shows that increased market concentration is associated with greater expenses for the funds under management, within a given Morningstar‐style box, for both equity funds and for fixed‐income funds. We also show that increased costs are partially offset by economies of scope for the fixed‐income funds.

This paper extends the current literature in several ways. First, it confirms the existence of economies of scale at the fund level within Morningstar style classifications. Second, it documents the existence of varying levels of market concentration within different Morningstar style classifications. Third, the results demonstrate that there is a negative relation between the scope of funds handled across the Morningstar classifications by a particular fund manager and the expense ratio for particular funds. Finally, the results presented in this paper show that the largest funds within a family are associated with the highest expense ratios in the family.

This study aims to investigate the relationship between university–industry collaboration (U-I-C) in research and development (R&D) and quality management and explore how the relationship is mediated by innovation.

Based on panel data consisting of 109 countries spanning over a five year period (2013-2017) this study investigates, through structural equation modelling, how this relationship is mediated by innovation.

The main finding is that there are positive significant direct effects between U-I-C and innovation and between innovation and international organization for standardization (ISO) 9001. Furthermore, the strength and significance of these relations are highly affected by the classification of income in these countries, which ranges from high and upper-middle to lower-middle categories. This paper concludes that countries in the high-income category have higher achievement in U-I-C in R&D, innovation and ISO 9001 when compared to the upper and lower-middle-income categories.

This paper demonstrates in the empirical study the value of collaboration in R&D between government, industry and academia, as it can encourage scientific research and contribute to quality management and innovation. This research is one of the very few studies to assess the country’s income classification effect on U-I-C in R&D, innovation and ISO 9001. It is recommended that more research is conducted on how countries not ranked in the high-income category could benefit from U-I-C in R&D to enhance innovation and quality management.

The purpose of this paper is to assess the role of investment in built assets in the achievement of economic growth as part of a wealth measurement approach and to undertake an analysis of the relative importance of such investment as part of a country’s overall capital asset portfolio.

Panel data on capital asset investment are used to compare groups of countries at different stages of development. Data sets on investment and capital levels from the Penn World Tables 9.0 are used. Population and gross domestic product data are taken from the same source and the UN Statistics Division. World Bank reports provide data on countries’ income group classification.

There is confirmation of the view that, as economies grow, a pattern of investment based on developing a different structure of capital asset portfolio occurs. Investment patterns similar to those found in advanced countries arise as low income countries move to higher income classification groups even though built assets remain the most valuable capital asset group.

The study provides time series evidence on the nature of changing capital investment patterns in countries’ economies and demonstrates the value of a wealth measurement approach.

The paper offers the first systematic and comprehensive analysis of dynamics of economic growth slowdown for India at the sub-national level covering the period 1993–2013. In light of India’s regional diversity and variation in terms of gross regional domestic product (GRDP) per capita, the purpose of this paper is to empirically investigate the growth dynamics at the sub-national level. The paper aims to answer two questions: first, are determinants of economic slowdown likely to differ across income groups? Second, what are the probabilities that the sub-national economies in India will experience a growth slowdown in the near future?

The paper undertakes a comprehensive analysis of growth slowdown for 106 Asian developing economies encompassing the national economies in ASEAN and the sub-national economies in Greater China, Indonesia and India. To be sure, the authors are not making any direct comparison to countries at different stages of economic development; rather, the comparison is between economies/sub-national economies that fall in the same income category. The authors construct income group-specific logistic model to identify the relevant determinants of growth slowdown and use Bayesian model averaging techniques as a robustness check. The authors also compute economy-specific predictive probabilities of growth slowdown over the period 2012–2017.

The empirical results show that a growth slowdown in various income groups tends to be associated with different sets of determinants, although broadly, across all income groups, the occurrence of growth slowdown is positively associated with higher GRDP per capita. The average predictive probability of growth slowdown for India’s sub-national economies is 0.43, indicating that, on average, India’s sub-national economies have a 43 per cent chance of experiencing growth slowdown in the 2012–2017 period. Overall, the prospects of the sub-national economies of India are less worrying than that of Greater Chinese economies but bleaker than the outlook for economies in ASEAN and Indonesia.

The research contributes to the understandings of growth dynamics, especially the issue of growth slowdown, in India. This paper differs from the existing literature on growth dynamics by being India centric and analysing the issue of growth slowdown at the sub-national level. Despite a steady increase in the level of GRDP per capita for the sub-national economies of India since 1993, significant disparities still exist across economies. Identifying determinants of growth slowdown and subsequently computing predictive probabilities serves as early warning signs for policy-makers and generates insights on how development policy can be shaped.

This study aims to review the approaches used in the analysis of rental income of residential property in Abuja, Nigeria, to strengthen the existing investment performance approaches initially relied upon by property investors towards having a better and reliable performance evaluation for property investment decision-making.

With the adoption of combined methodological approaches, quantitative data on rental history (2006–2016) were collected on the randomly selected residential investment properties (block of flats) available in the portfolio of estate surveying firms in the different locations/sub-markets of the study area. Data collected were analysed with the frequency mean and growth rate.

All the methodological approaches adopted for analysis displayed varying performance results. No particular sub-market maintains the same ranking position in any of the approaches. The developmental phases previously used as an indication of yield in the study area do not correspond with the status of rental income of sub-markets. Yield has been observed to be a mere attraction to property investment; it does not translate to income growth. Mean income (though a good indicator of changes in rental income) is not a reliable indicator of growth in income, and growth in the rate of income omitted the changes in rental income during the holding period.

The study was restricted to historical rental income data on a block of flat-type residential property, and it does not include capital value analysis or inquire into the factors responsible for variation in rental income during the study period. The outcome of this study is only applicable to a block of 4 number three-bedroom flats residential property type.

Multiple simple methods of analysing rental income performance should be preferred to the single complex method. This will simplify investors’ rental income characteristics of investment towards a better understanding of rental property investment analysis. That rental value appreciates with time does not translate to an increase in the actual rental income of residential investment property.

Through these performance approaches, ranking of the sampled properties in the study area sub-markets will enhance investors’ traditional diversification planning across the study area for an enhanced combination that can achieve latent profitability. The attention of investors is hereby called to these multiple approaches to enable them to merge their investment objectives with any or a combination of these approaches towards making rational investment decisions.

This seems to be the first advocacy for methodological paradigm shift applicable to direct residential property investment performance in Nigeria, using transaction rather than appraisal data.

This paper aims to examine whether emigration of high-skilled labor creates a positive effect in the home country by generating multi-country joint patent relationships between home and destination country-pairs.

A panel of data that uniquely captures the country of origin of patent applicants is used to assess if and how high-skilled emigration contributes to the prevalence of multi-country joint patents in a country. The analysis is conducted both in aggregate and across sub-samples based on the per capita income level of the home country. Finally, the role of absorptive capacity as a control variable is robustly considered.

Results suggest that emigration of high-skilled labor positively impacts the prevalence of multi-country joint patent ownership when emigration originates from middle- and high-income countries. Support for such “brain gain” via knowledge sharing in innovation is absent when high-skilled labor emigrates from low-income countries.

The analysis highlights a specific avenue by which the home country benefits from high-skilled emigration. It also provides comparative analysis across home countries of different income levels, which can provide insight into the external validity of papers using high-income country samples of innovative performance when assessing knowledge spillovers.