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We examine the key drivers behind management decisions on share repurchase from various theoretical perspectives, including the free cash flow theory and the signaling theory/hypothesis. Specifically, we investigate the relationship between share repurchase and three key drivers: surplus cash, undervaluation, and leverage, along with several control variables. Using a sample of UK-listed non-financial companies from 2012 to 2022, we apply logistic regression, standard OLS regression, and Tobit regression to identify the factors influencing share repurchase. Our findings reveal that firms repurchase shares to distribute cash to shareholders with surplus cash and Surplus investing cash flow. This study also finds that undervalued smaller firms with lower market-to-book ratios and lower leverage are more likely to repurchase shares. Our study highlights the key factors motivating companies’ share repurchases, such as undervaluation, surplus cash, and leverage, examined from various theoretical perspectives, including the free cash flow theory and signaling theory. Focusing on the UK context, as well as adding a new angle in regard to applying logistic regression, standard OLS regression, and Tobit regression in combination, this research contributes to the existing body of knowledge in corporate finance. The outcome of the study has plausible implications for financial managers and investors in selecting stocks. Its practical implications will help investors gain a better understanding of the factors and forces influencing share repurchase decisions.

Management engages in earnings manipulation for different reasons. This article argues that low-growth firms with high free cash flow will opt for income-increasing earnings management in order to obscure the low profits derived from their investments in negative net present value (NPV) projects. On the other hand, we argue that the listed companies might be interested in being listed in the first market due to its privileges and to preserve the competitiveness, through managing their earnings upwardly, so that they can satisfy the condition of achieving a particular earnings limit. This article should advance the body of earnings management literature in the Jordanian context by examining the effect of the moderating role of an independent audit committee (IAC) in the association between surplus free cash flow (SFCF) and income-increasing discretionary accruals (DAC). Further, this is the initial empirical attempt to investigate the moderation effect of IAC between stock market segmentations (SMS) and positive DAC. The results of this current study offer original and beneficial information for the Jordanian government and other countries with a similar institutional environment because the study promotes the application of applying IAC as an efficient tool to constrain management behaviour towards manipulation of the accruals. On top of that, this research offers information concerning the prevailing situation of earnings management practices and corporate governance in Jordan, in which shareholders, local and international investors, policymakers, regulators and academic researchers are interested. Finally, panel data analyses and various statistical techniques are employed to derive conclusions.

The objective of this paper is to examine the impacts of stock market segmentations (SMS) and surplus free cash flow (SFCF) on income-increasing discretionary accruals. The study also provides the initial evidence regarding the influence of audit quality (AQ) as a moderating variable on those relationships. A sample of non-financial firms was taken from the list of Amman Stock Exchange over the period 2013-2019. Using Huber-White’s sandwich estimator for pooled OLS regression, the current research presents empirical evidence harmonious with the prediction in all hypotheses. Further, the findings document that a Big 4 auditor weakens the SMS-DAC and SFCF-DAC associations, which suggests that the role of Big 4 audit firms is effective in mitigating management’s opportunistic behaviour. However, the reported results provide beneficial information to investors, regulators, external auditors, policymakers, shareholders, and other countries with similar institutional environment.

New Zealand hill country sheep and beef farms contain land of various slope classes. The steepest slopes have the lowest pasture productivity and livestock carrying capacity and are the most vulnerable to soil mass movements. A potential management option for these areas of a farm is the planting of native shrubs which are browsable and provide erosion control, biodiversity, and a source of carbon credits. A bioeconomic whole farm model was developed by adding a native shrub sub-model to an existing hill country sheep and beef enterprise model to assess the impacts on feed supply, flock dynamics, and farm economics of converting 10% (56.4 hectares) of the entire farm, focusing on the steep slope areas, to native shrubs over a 50-year period. Two native shrub planting rates of 10% and 20% per year of the allocated area were compared to the status quo of no (0%) native shrub plantings. Mean annual feed supply dropped by 6.6% and 7.1% causing a reduction in flock size by 10.9% and 11.6% for the 10% and 20% planting rates, respectively, relative to 0% native shrub over the 50 years. Native shrub expenses exceeded carbon income for both planting rates and, together with reduced income from sheep flock, resulted in lower mean annual discounted total sheep enterprise cash operating surplus for the 10% (New Zealand Dollar (NZD) 20,522) and 20% (NZD 19,532) planting scenarios compared to 0% native shrubs (NZD 22,270). All planting scenarios had positive Net Present Value (NPV) and was highest for the 0% native shrubs compared to planting rates. Break-even carbon price was higher than the modelled carbon price (NZD 32/ New Zealand Emission Unit (NZU)) for both planting rates. Combined, this data indicates planting native shrubs on 10% of the farm at the modelled planting rates and carbon price would result in a reduction in farm sheep enterprise income. It can be concluded from the study that a higher carbon price above the break-even can make native shrubs attractive in the farming system.

Purpose – Existing studies on corporate governance mainly focus on how a strong governance system enhances the valuation of firms with cash holding or free cash flow agency problem. The aims of this paper are threefold. First, it investigates the impact of surplus free cash flows (SFCF) on earnings predictability. Second, it investigates whether corporate governance variables moderate the negative impact of SFCF on earnings predictability. Finally, this study examines whether the ability of corporate governance to mitigate SFCF and improve the predictive value of earnings varies between large and small firms. Design/methodology/approach – This paper uses heteroskedasticity-corrected least square regressions upon a sample of Malaysian listed firms. Findings – This paper finds that firms with high SFCF experience less earnings predictability. It also indicates that earnings of firms with high SFCF are more predictable when institutional investors hold a large stake of shares and when a chairperson is independent. Finally, this paper reveals that the role of institutional and managerial ownership in mitigating agency conflict of free cash flow and improving earnings predictability is more prominent in larger firms. This study implies that investors still have reservations about the ability of boards to enhance earnings numbers in Malaysia, although efforts were taken to reform the corporate governance mechanisms following the Asian financial crisis. Originality/value – This research is considered as the first attempt to examine the relationships between SFCF, corporate governance, firm size, and earnings predictability in a developing county such as Malaysia. The findings of this paper serve as a wake-up call to policy makers to evaluate the importance of governance structure in enhancing earnings predictability in emerging economies.

Access to reliable cross-country data on private sector development is crucial when formulating responses to economic crises. When downturns affect exports, investment, and growth negatively, making life easier for business is a significant step towards economic recovery. This has become obvious during the global financial crisis as governments have tried to stimulate economic growth through the creation of more robust private and finance markets. Improving the investment climate facilitates economic adjustment as it helps attract capital to create jobs and provide basic services. Unsurprisingly, the availability of cross-country data on the business environment has rapidly expanded in recent years; including data from the World Bank Group's doing business project, enterprise surveys, and the entrepreneurship snapshots. The data sources presented in this book report on the scope and types of regulations that enhance and constrain business activity and provide information on business owners' assessment of the business environment. The data have led to new research, enabled benchmarking, and informed the reform process in many developing countries. Included in this guide are indicators on the economic and social context, the investment climate, private sector investment, finance and banking, and infrastructure. Though a pocket guide cannot include all relevant variables, the indicators that are included provide users with a general understanding of the private sector in each country.

The Little Data Book on Private Sector Development 2011' is one of a series of pocket-sized books intended to provide a quick reference to development data on different topics. It provides data for more than 20 key indicators on business environment and private sector development in a single page for each of the World Bank member countries and other economies with populations of more than 30,000. These more than 200 country pages are supplemented by aggregate data for regional and income groupings.

The Little Data Book on Private Sector Development 2009 is one of a series of pocket-sized books intended to provide a quick reference to development data on different topics. The Little Data Book on Private Sector Development 2009 provides data for more than 20 key indicators on business environment and private sector development in a single page for each of the World Bank member countries and other economies with populations of more than 30,000. These more than 200 country pages are supplemented by aggregate data for regional and income groupings.

The Little Data Book on Private Sector Development 2010' is one of a series of pocket-sized books intended to provide a quick reference to development data on different topics. It provides data for more than 20 key indicators on business environment and private sector development in a single page for each of the World Bank member countries and other economies with populations of more than 30,000. These more than 200 country pages are supplemented by aggregate data for regional and income groupings.