The employment environment for youth in rural South Africa: A mixed-methods study

South Africa has high youth unemployment. This article examines the predictors of youth employment in rural Agincourt, Mpumalanga Province. A survey of 187 out-of-school 18 to 24 year olds found that only 12% of women and 38% of men were currently employed. Men with skills/training were significantly more likely to report employment, mostly physical labour (adjusted odds ratio: 4.5; confidence interval: 1.3, 15.3). In-depth interviews with 14 of the youth revealed that women are perceived more suitable for formal employment, which is scarce, informing why women were more likely to pursue further education and yet less likely to be employed. Ten key informants from local organisations highlighted numerous local youth employment resources while, in contrast, all youth in the sample said no resources were available, highlighting a need for the organisations to extend their services into rural areas. Because these services are focused on entrepreneurship, programmes to increase financial literacy and formal employment opportunities are also needed.     

Political and Economic Inequities and the Shaping of Institutions and Redistribution

This article studies the joint effect of political and economic inequalities on redistributive taxation and institutional quality. The theoretical model suggests that income inequality, coupled with political bias in favor of the rich, decreases redistribution and lowers institutional quality. The effect of the former is to increase productive investment, and the effect of the latter is to decrease it—with resulting ambiguous implications for economic growth. Testing these predictions empirically in a panel of countries, we find that inequality has a negative effect on both institutional quality and redistribution.     

Discussion of “The Consequences of Audit‐Related Earnings Revisions”

We organize our discussion of Haislip, Myers, Scholz, and Seidel (2017) (hereafter HMSS) around three areas: managing auditor business risk, a lack of auditor competence as an alternative story to auditors acting independently for their results, and drawing inferences from archival vis‐à‐vis experimental studies. We conclude our discussion by arguing that the investigation by HMSS sets the stage for future research concerning why earnings revisions occur and why auditors and CFOs appear to bear adverse consequences when they do occur.     

Does Economic Policy Uncertainty Predict Exchange Rate Returns and Volatility? Evidence from a Nonparametric Causality-in-Quantiles Test

Recent studies have analysed the ability of measures of uncertainty to predict movements in macroeconomic and financial variables. The objective of this paper is to employ the recently proposed nonparametric causality-in-quantiles test to analyse the predictability of returns and volatility of sixteen U.S. dollar-based exchange rates (for both developed and developing countries) over the monthly period of 1999:01–2012:03, based on information provided by a news-based measure of relative uncertainty, i.e., the differential between domestic and U.S. uncertainties. The causality-in-quantile approach allows us to test for not only causality-in-mean (1st moment), but also causality that may exist in the tails of the joint distribution of the variables. In addition, we are also able to investigate causality-in-variance (volatility spillovers) when causality in the conditional-mean may not exist, yet higher order interdependencies might emerge. We motivate our analysis by employing tests for nonlinearity. These tests detect nonlinearity, as well as the existence of structural breaks in the exchange rate returns, and in its relationship with the EPU differential, implying that the Granger causality tests based on a linear framework is likely to suffer from misspecification. The results of our nonparametric causality-in-quantiles test indicate that for seven exchange rates EPU differentials have a causal impact on the variance of exchange rate returns but not on the returns themselves at all parts of the conditional distribution. We also find that EPU differentials have predictive ability for both exchange rate returns as well as the return variance over the entire conditional distribution for four exchange rates.     

Commitment and Cost of Equity Capital: An Examination of Timely Balance Sheet Disclosure in Earnings Announcements

In this paper, I examine the relation between disclosure commitment and cost of equity capital using accelerated earnings announcement disclosures as a measure of commitment. In settings characterized by imperfect market competition, I find that firms which consistently disclose balance sheet detail in relatively timely earnings announcements have lower costs of capital compared to other firms. This result is statistically significant and economically meaningful, and is robust to various alternative measurements for cost of capital, and alternative designs addressing endogeneity and underlying information quality. Overall, this result is important because it highlights additional dimensions of disclosure commitment (consistency and timeliness), while incorporating important features from theoretical models (information quality and market competition). In particular, my results suggest that consistency and timeliness are salient features of firms' disclosure behavior that have predictable and robust relations with capital market outcomes. This result is robust to controlling for underlying information quality; however, consistent with theory, it is conditional on low levels of market competition.     

Encouraging collaboration for the provision of ecosystem services at a landscape scale—Rethinking agri-environmental payments

In this viewpoint we draw on insights from participatory agri-environmental policy making, spatial planning and collaborative approaches to environmental management. We propose steps for planning, design and implementation of agri-environmental payment schemes that will encourage collaboration and co-ordinated actions at a landscape scale to contribute more effectively to the continued provision of ecosystem services.     

Challenges for land system science

While considerable progress has been made in understanding land use change, land system science continues to face a number of grand challenges. This paper discusses these challenges with a focus on empirical land system studies, land system modelling and the analysis of future visions of land system change. Contemporary landscapes are contingent outcomes of past and present patterns, processes and decisions. Thus, empirical analysis of past and present land-use change has an important role in providing insights into the socio-economic and ecological processes that shape land use transitions. This is especially important with respect to gradual versus rapid land system dynamics and in understanding changes in land use intensity. Combining the strengths of empirical analysis with multi-scale modelling will lead to new insights into the processes driving land system change. New modelling methods that combine complex systems thinking at a local level with macro-level economic analysis of the land system would reconcile the multi-scale dynamics currently encapsulated in bottom-up and top-down modelling approaches. Developments in land use futures analysis could focus on integrating explorative scenarios that reflect possible outcomes with normative visions that identify desired outcomes. Such an approach would benefit from the broad and in-depth involvement of stakeholders in order to link scientific findings to political and societal decision-making culminating in a set of key choices and consequences. Land system models have an important role in supporting future land use policy, but model outputs require scientific interpretation rather than being presented as predictions. The future of land system science is strongly dependent on the research community's capacity to bring together the elements of research discussed in the paper, via empirical data collection and analysis of observed processes, computer simulation across scale levels and futures analysis of alternative, normative visions through stakeholder engagement.