Accountability Standards for Nonprofit Organizations: Do Organizations Benefit from Certification Programs?

Stakeholders are demanding nonprofit organizations (NPOs) continually improve and work effectively in an ever-changing environment. While there are many ways to approach this operational challenge, this paper examines the impact of acquiring an accountability certification, specifically the Standards for Excellence® Certification. Using a sample of 102 NPOs that have received the Standards for Excellence certification, we find that the certification is associated with increases in public support relative to a control group that did not receive the certification. These results suggest that some stakeholders favorably respond to the certification process, and NPOs can realize tangible benefits from becoming certified.     

Self-destructing prophecies: Long-term forecasting of municipal correctional bed need

Although municipal jails consume a significant amount of resources and the number of inmates housed in such facilities exploded in the 1990s, the literature on forecasting jail populations is sparse. Jail administrators have available discussions on jail crowding and its causes, but do not have ready access to applications of forecasting techniques or practical demonstrations of a jail inmate population forecast. This article argues that the underlying reason for this deficiency is the inherent unpredictability of local long-term correctional population levels. The driving forces behind correctional bed need render local jail population forecasts empirically valid only for a brief time frame. These inherent difficulties include the volatile nature of jail populations and their greater sensitivity when compared with prison populations to local conditions; the gap between the data needed for local correctional population forecasting and what is realistically available to forecasters; the lack of reliable lead variables for long-term local correctional population forecasts; the clash of the mathematics of forecasting and the substantive issues involved in the interpretation of forecast models; and the significant political and policy impacts of forecasts on local criminal justice systems and subsequent correctional population trends.The differences between the accuracy of short-term versus long-term jail bed need forecasts means that forecasting local correctional bed need is empirically valid for, at best, one to two years. As the temporal cast is extended, longer-term forecasts quickly become error prone. Except for unique situations where jails exist in highly stable local political, social, and criminal justice environments, long-term forecasts of two years or greater are fatally flawed and have little empirical accuracy. Long-term forecasts of local jail bed needs are useful, though, as policy catalysts to encourage policymakers to consider possible long-term impacts of current decisions, but forecasts should be thought of and presented as one possible future scenario rather than a likely reality. Utilizing a demonstration of a local jail forecast based upon two common empirical forecasting approaches, ARIMA and autoregression, this article presents a case study of the inherent difficulties in the long-term forecasting of local jail bed need.     

Coronial Inquests,Indigenous Suicide and the Colonial Narrative

Critical Criminology - This article explores the over-representation of Indigenous people in suicide statistics internationally as indicative of the broader impacts of colonialism. The purpose of...     

Affordability After Subsidies: Understanding the Trajectories of Former Assisted Housing in Florida

Each year, thousands of units are lost from the assisted rental housing inventory through deterioration and default, subsidy expiration, and market-rate conversion. While a good deal of research and data collection has focused on identifying at-risk developments, less is known about what happens to former assisted developments after they exit income and rent restrictions. This article uses a survey of former assisted properties in Florida to identify their postsubsidy trajectories—that is, as to whether developments continue as rental housing, are converted to condominiums, or leave the housing stock through vacancy and demolition; and for those that continue as rental housing, whether they continue to offer affordable rents. Using logistic regression models, the article examines the property, housing market, and neighborhood characteristics that determine these trajectories. The results show that smaller properties, those that have been out of subsidy programs longer, and those in stronger neighborhood housing markets are more likely to be converted to condominiums. Among developments that continue as rental housing, those that previously had more stringent rent restrictions, those in strong rental submarkets, and those with better transit access tend to become unaffordable compared with previous rent limits.     

The European Union in Sudan: A Missed Opportunity?

Abstract

International organisations active in Africa are often criticised for their ineffectiveness. So too is the European Union (EU), which is also accused of failing to assume a more prominent conflict management role in war-torn countries. This article examines the EU’s capacity and readiness to take on such a role in one such country, the former Republic of Sudan, home to Africa’s longest-running civil wars and the first ‘genocide’ of the 21st century. It begins by outlining the EU’s record in Darfur and the North–South Peace Process. Drawing upon 25 interviews and Hill’s ‘capabilities–expectations model’, it then questions whether the EU’s ‘capabilities’ (resources, instruments, unity) were ‘fit for purpose’ in Sudan’s hostile target setting. It concludes by identifying settings that have been more propitious for a conflict-related management function and by suggesting that the EU should better manage expectations about future security roles.