The Association Between Dividends and Accruals Quality

This paper responds to a specific gap identified in the prior literature by examining whether dividend paying status and dividend size are associated with accruals quality, using three accruals‐based earnings quality proxies on a large sample of 2387 firm‐year observations over 17 years in a developing economy, South Africa. Univariate tests are also conducted to identify differences in characteristics between dividend and non‐dividend paying firms, and large and small dividend paying firms. The paper finds that dividend paying status is positively associated with accruals quality. This association remains robust over sub‐groups of firms that differ in size, growth, profitability, age, maturity, leverage, capital intensity and propensity to raise new capital. The prior literature is extended by using quintiles of dividend size to further investigate the association between dividend size and accruals quality. The findings include that larger dividend paying firms are associated with better accruals quality, and that this relationship is stronger among firms that pay average‐sized dividends. Additionally, there are significant differences in characteristics between dividend and non‐dividend paying firms and between large and small dividend paying firms. Based on these results, policymakers, regulators, legislators and boards may want to explore the use of dividend policy as a corporate governance mechanism.https://onlinelibrary.wiley.com/journal/183525612021-03-01hj2019Accountin

Approaches to modelling land erodibility by wind

Land susceptibility to wind erosion is governed by complex multiscale interactions between soil erodibility and non-erodible roughness elements populating the land surface. Numerous wind erosion modelling systems have been developed to quantify soil loss and dust emissions at the field, regional and global scales. All of these models require some component that defines the susceptibility of the land surface to erosion, ie, land erodibility. The approaches taken to characterizing land erodibility have advanced through time, following developments in empirical and process-based research into erosion mechanics, and the growing availability of moderate to high-resolution spatial data that can be used as model inputs. Most importantly, the performance of individual models is highly dependent on the means by which soil erodibility and surface roughness effects are represented in their land erodibility characterizations. This paper presents a systematic review of a selection of wind erosion models developed over the last 50 years. The review evaluates how land erodibility has been modelled at different spatial and temporal scales, and in doing this the paper identifies concepts behind parameterizations of land erodibility, trends in model development, and recent progress in the representation of soil, vegetation and land management effects on the susceptibility of landscapes to wind erosion. The paper provides a synthesis of the capabilities of the models in assessing dynamic patterns of land erodibility change, and concludes by identifying key areas that require research attention to enhance our capacity to achieve this task