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The purpose of this study is to analyze the share of coronavirus publications and its citation-based indicators in various journal impact factor quartiles to discover their relationship and analyze the advantages of Q1 publications.

Bibliometric analyses of world coronavirus research publications (articles and reviews) indexed in Web of Science database over 20 years among four journal quartiles were performed.

The publication and citation shares in various journal quartiles were decreased in the following order: Q1 > Q2 > Q3 > Q4. World coronavirus publications/citations share in Q1 journals were on average 1.78/4.18, 2.75/7.90 and 5.07/27.79 times greater than Q2, Q3 and Q4 publications, respectively. Moreover, similar patterns were obtained for various research performance dimensions: impact, excellence, corporate interest and funding indicators. These indicators of Q1 publications were much better than the corresponding values for world overall and infectious disease literature. Thus, there was a clear research performance advantage of Q1 coronavirus publications.

To the best of the authors’ knowledge, this is the first study analyzing the journal impact factor quartiles and its impact on coronavirus research performance. The results/findings of this study are useful for many stakeholders to enhance the research influence by considering journal impact factor quartiles especially Q1 journals.

The purpose of this paper is to examine individual level property returns to see whether there is evidence of persistence in performance, i.e. a greater than expected probability of well (badly) performing properties continuing to perform well (badly) in subsequent periods.

The same methodology originally used in Young and Graff is applied, making the results directly comparable with those for the US and Australian markets. However, it uses a much larger database covering all UK commercial property data available in the Investment Property Databank (IPD) for the years 1981 to 2002 – as many as 216,758 individual property returns.

While the results of this study mimic the US and Australian results of greater persistence in the extreme first and fourth quartiles, they also evidence persistence in the moderate second and third quartiles, a notable departure from previous studies. Likewise patterns across property type, location, time, and holding period are remarkably similar.

The findings suggest that performance persistence is not a feature unique to particular markets, but instead may characterize most advanced real estate investment markets.

As well as extending previous research geographically, the paper explores possible reasons for such persistence, consideration of which leads to the conjecture that behaviors in the practice of institutional‐grade commercial real estate investment management may themselves be deeply rooted and persistent, and perhaps influenced for good or ill by agency effects.

Reviews previous research on the efficiency and performance of financial institutions and uses Siems and Barr’s (1998) data envelopment analysis (DEA) model to evaluate the relative productive efficiency of US commercial banks 1984‐1998. Explains the methodology, discusses the input and output measures used and relates bank performance measures to efficiency. Describes the CAMELS rating system used by bank examiners and regulators; and finds that banks with high efficiency scores also have strong CAMELS ratings. Summarizes the other relationship identified and recommends the use of DEA to help analysts and policy makers understand organizations in greater depth, regulators and examiners to develop monitoring tools and banks to benchmark their processes.

Using a unique dataset of ownership structure for all stocks listed on the Stockholm Stock Exchange in Sweden, we examine different degrees of institutional holdings in Swedish firms during the bear market of 2000 to 2002. We find that examination by institutional investor domicile reveals that both Swedish and foreign institutions increase their equity holdings, although the increase by foreign institutions is proportionately higher, (individuals reduce their equity holdings). We find evidence that foreign and domestic institutional investors exhibit different preferences for excess returns and standard deviations in excess returns when we control for firm size; excess return is associated with changes in foreign institutional holdings while higher standard deviation in excess return is associated with the change in domestic institutional holdings. Both types of institutions are sensitive to liquidity and trading factors, causing portfolio realignment.

This paper estimates the financial returns to higher education quality in the UK. To account for the selectivity of students to institution, we rely on a selection on observable assumption. We use several estimates including the Generalised Propensity Score (GPS) of Hirano and Imbens, which relies on a continuous measure of institutional quality. This highlights that the returns to quality are heterogeneous and mostly driven by high-quality institutions. Moving from an institution in the third quality quartile to a top quality institution is associated with a 7% increase in earnings.

This study examines the characteristics that affect college persistence from the first to second year among low-socioeconomic status (SES) high school graduates who enrolled in a two- or four-year college degree program, using the ELS:2002 database. Specifically, this study compares the influences of student entry characteristics, social and cultural capital, institutional characteristics, and college experiences across SES quartiles. While academic preparation and college support measures were predictors of persistence for all groups, predictors of persistence for low-SES students included measures of academic preparation and talking with faculty or advisors. Implications extend to institutional responses needed to support the success of low-SES students.

The purpose of this paper is to use the Health and Retirement Study to examine the social security (SS) claiming decision of older Americans, with a focus on the behavior of the unemployed.

Using a duration model first, and a bivariate probit framework then, the author investigates whether older unemployed individuals lacking liquidity use SS benefits as a safety net in order to finance consumption during an unemployment episode, even if they do not retire at the same time. In this way, SS might be thought as a form of unemployment insurance (UI) which would allow them to maintain their standard of living during their job search.

The author finds evidence of a claiming pattern specific to the unemployed: they claim sooner than full-time workers, even when they do not retire at the same time. They also seem to discontinue this behavior when their access to UI is extended, which gives support to the author’s hypothesis that the unemployed workers, who lack liquidity, claim their SS benefits even if they do not wish to retire, as a source of alternative unemployment benefits.

By focusing on the SS claiming behavior of the unemployed rather than on their retirement patterns, this paper sheds light on the social insurance role of SS retirement benefits for unemployed workers who are not willing to retire, but need a new source of income while they continue looking for a job.

Purpose– The purpose of this paper is to examine cross‐sectional differences in the profits, returns and risk of high‐ and low‐market‐to‐book ratios (M/B) stocks before and after the initiation of regular cash dividend payments. Design/methodology/approach– This study uses parametric and non‐parametric statistics and ordinary least squares regression to test for differences in the profits, returns and risk of high‐ and low‐M/B stocks before and after dividend initiation. Findings– Low‐M/B stocks display the most positive price reaction to dividend initiation announcements. High‐M/B firms have larger profits, cash levels and capital expenditure before and at the time of dividend initiation, but more closely resemble the low‐M/B firms in terms of these characteristics within three years following dividend initiation. Excess returns earned by low‐M/B firms are related to decreases in systematic risk, while the returns of high‐M/B firms are related to their higher profitability. Research limitations/implications– Averaging results from 1965‐2000 does not account for possible changes in the information content of dividend initiations over time (as evidenced by steadily declining dividend yields over this period). Practical implications– The findings are consistent with the idea that firms begin paying dividends as they are maturing into a slower growth period, and do not support the idea that dividend initiation signals faster future earnings growth. Originality/value– The analysis adds to the body of knowledge by explicitly conditioning the expectations from various dividend theories based upon individual firms’ growth phase as reflected in their M/B ratios, and suggests that signaling, agency and risk explanations for dividends must be considered jointly with a firm's growth prospects when studying dividend events.

The purpose of this research is to understand US Upper Midwest dairy farm profitability performance over time and across herd size. Profitability is broken down into asset efficiency and operating profit margin. The primary objective is to determine how much information is required to accurately benchmark farm performance.

Financial ratios to measure profitability (rate of return on assets), profit margin (operating profit margin ratio), and asset efficiency (asset turnover) were collected from Michigan State University and the University of Wisconsin business analysis programs for dairy farms from 2000 through 2016. Financial ratio patterns were examined both across time and herd size. Annual distributions were divided into quartiles and the use of one to five-year averages were used to determine accuracy of quartile rank compared to true long-run farm profitability performance.

Financial performance across large herds was more uniform than across smaller herds. Small and large herd profitability performance converged in poor years but diverged in good years. Using three or more years performance greatly improved accuracy of benchmarking profitability.

The data utilized are very rich in the sense of the amount of variation across years and herd size. The results have important implications for farm financial management and benchmarking farm financial performance. Farm firms should benchmark multiple years of profitability before making major management changes to alleviate deficiencies.

Literature, spanning industrial organization and strategic management disciplines, uses variance decomposition to understand the relative importance of firm, industry and business group effects in shaping profitability variations. Some literature analyzes firm profitability under transition to liberalization. Previous research has taken a static before-and-after view on institutional change. This paper aims to focus on the dynamic process of liberalization in India, analyzing how different institutional regime changes alter firm behavior leading to changes in profitability patterns.

Based on a panel data set of several thousand Indian firms, spanning the 26-year period between 1980-1981 and 2005-2006, the authors determine the relative importance of firm, industry and business group effects in explaining manufacturing firms’ profitability variances across different institutional phases. The authors evaluate three propositions that help assess transition dynamics between phases. They determine the quantum of catch-up or falling behind by firms.

Different industries emerge as profitability leaders, as the economy progresses through different liberalization phases. Business groups that have been more effective in resource appropriation, rent-seeking, politician management and non-market activities in a controlled regime are replaced as profit leaders by those that, in a free-market economy, can be capable of intra-business resource allocation tasks and leveraging corporate capabilities.

The approach demonstrates how to analyze the underlying detailed structure of firm-level data, and performance outcomes, to derive nuanced interpretation of factors giving rise to the effects that explain profitability variances, and how to assess the way these effects behave over time. The dynamic evidence-based approach highlights what factors matter, where, when and why, in influencing profitability variances, which are a key dimension of industrial and economic performance.