The effects of zoning on population and employment density

This article examines zoning's impacts on population and employment density. It develops a model to explore the effects of zoning on the density of residential and nonresidential land use. Drawing on this model, density gradients that incorporate the effects of zoning are estimated for Greensboro, North Carolina. The model is used to simulate the effects of a change in restrictive-use residential zoning. The simulation shows that a 1 percent increase in the level of restrictive-use residential zoning across all neighborhoods in the city is associated with a 0.3 percent increase in gross population density and a 0.1 percent decline in net density (intensity). It suggests that restrictive-use zoning affects both the density and the intensity of residential land use through its effects on the value of residential land.     

The world bank in Africa: Historical reflections on the African present

This paper offers a historical commentary on the World Bank's influential report, Accelerated Development in Sub-Saharan Africa. A very broad perspective is adopted, partly to identify the main points of connection between historians and development economists, and partly because the Report, though widely commented on, has not been addressed directly by historians of Africa. The principal aim of the paper is to show how Africa's past bears upon its present by linking the economic history of the continent to its contemporary development problems. The analysis is divided into two parts. The first part deals with some of the unstated assumptions underlying the Report. The second part focuses on the World Bank's assessment of the current “crisis” in Africa, and offers a long-run interpretation of the relationship between population, resource use, institutional change, and political incorporation. The paper concludes by drawing attention to the dangers of excessive specialization among experts, and by pressing the case for reuniting history and development economics.     

The intertemporal relation between expected returns and risk

This paper explores the time-series relation between expected returns and risk for a large cross section of industry and size/book-to-market portfolios. I use a bivariate generalized autoregressive conditional heteroskedasticity (GARCH) model to estimate a portfolio's conditional covariance with the market and then test whether the conditional covariance predicts time–variation in the portfolio's expected return. Restricting the slope to be the same across assets, the risk-return coefficient is highly significant with a risk–aversion coefficient (slope) between one and five. The results are robust to different portfolio formations, alternative GARCH specifications, additional state variables, and small sample biases. When conditional covariances are replaced by conditional betas, the risk premium on beta is estimated to be in the range of 3% to 5% per annum and is statistically significant.     

Effects of organizational process change on responsibility accounting and managers’ revelations of private knowledge

We report the results of a nine-year field study that examines how responsibility accounting (RA) is used to manage horizontal relationships among several responsibility center (RC) managers including those who work on committees or cross-functional teams. We find theory-consistent evidence that the goal-congruent design or redesign of accounting and participation practices in general, and of RA in particular, depends on the magnitude, scope, and speed of organizational process change. When there is a change in the magnitude, scope, and speed of organizational process change, we find that the measurability of RC managers’ financial performance can change, and we also find that using RA to manage RC boundaries is an important mechanism for achieving goal-congruent behavior and avoiding dysfunctional behavior. Moreover, we show that several accounting and participation practices (e.g., activity-based costing, open book accounting, project budgeting, cross-functional teams) support RC boundary management that involves framing or reframing RC boundaries so as to influence competitive or cooperative behavior among RC managers. Finally, this study contributes by introducing a new research method to the accounting literature that is effective in structuring and interpreting longitudinal field data in relation to theoretical expectations.     

Regional sustainability: How useful are current tools of sustainability assessment at the regional scale?

Sustainability assessment methods are primarily aimed at global, national or state scales. However, modelling sustainability at finer spatial scales, such as the region, is essential for understanding and achieving sustainability. Regions are emerging as an essential focus for sustainability researchers, natural resource managers and strategic planners working to develop and implement sustainability goals. This paper evaluates the effectiveness of current sustainability assessment methods - ecological footprint, wellbeing assessment, ecosystem health assessment, quality of life and natural resource availability - at the regional scale. Each of these assessment methods are tested using South East Queensland (SEQ) as a case study. It was selected because of its ecological and demographic diversity, its combination of coastal and land management issues, and its urban metropolitan and rural farm and non-farm communities. The applicability of each of these methods to regional assessment was examined using an evaluation criteria matrix, which describes the attributes of an effective method and the characteristics that make these methods useful for regional management and building community capacity to progress sustainability. We found that the methods tested failed to effectively measure progress toward sustainability at the regional scale, demonstrating the need for a new method for assessing regional sustainability.     

A LOGISTICS STRATEGY TAXONOMY

Beginning with Bowersox and Daugherty's (1987) influential work describing three unique logistics organizational forms, researchers have generally taken a theoretical typology approach to classifying logistics strategies, and attempts to validate the numerous proposed typologies have produced inconsistent and somewhat conflicting results. In an attempt to add clarity to this stream of research, the current article partially replicates and extends the previous studies using a more rigorous and data‐driven methodology, by developing an empirical taxonomy with firmlevel logistics activities used as clustering criteria. The results identify two primary logistics strategy types used by contemporary firms. The revealed strategies are somewhat parallel to two of the three strategic orientations proposed within the original Bowersox and Daugherty (1987) typology, but also elements suggested by other researchers, as well as new concepts introduced since the original work was published. Based on the results, implications of the revealed logistics strategy taxonomy are provided for managers, and foundations are laid for researchers seeking to undertake further inquiry in the area.     

The Effects of Initial Location,Aspirations, and Resources on Likelihood of First Sale in Nascent Firms*

The formation of a new venture includes initial choices that affect the process of start‐up. Primary among these decisions is the choice of location whether to start from home or from an away location. This paper examines the impact of initial firm location choices and aspirations of the entrepreneur on the resource assembly process and the likelihood of first sale. Results show that home‐based businesses assemble different types of resources from their away‐based counterparts. Higher aspirations were associated with greater accumulation of organizational resources. The combined influence of location and aspirations showed that home‐based firms with high aspirations were less likely to achieve first sale. A post hoc analysis examined these affects within a subgroup of service firms and confirmed the previous results. This study suggests that in the initial stages of the new venture, there are processes and routines that home‐based businesses engage in that lead them to achieve first sales in a timelier manner than those businesses that are located away from home. Furthermore, high aspirations are associated with greater scale of organizational resources but not necessarily with achievement of sales. Implications are discussed.     

Agro-Manufactured Export Prices, Wages and Unemployment

This article estimates the impacts of world agricultural trade liberalization on wages and unemployment in Argentina in the presence of individual labor supply responses and adjustment costs in labor demand. After a 10% increase in agro-manufactured export prices, I find that: ( a ) the employment probability would increase by 1.36 percentage points, matched by a decline in the unemployment probability of 0.75 percentage points and an increase in labor market participation of 0.61 percentage points; ( b ) the unemployment rate would decline by 1.23 percentage points; ( c ) expected wages would increase by 10.3%, mostly due to higher employment probabilities.     

Predicting workload requirements for scheduled health care services, with an application to radiology departments.

A model is developed for predicting workload requirements for scheduled health care services. The model is then applied to an actual planning problem for a radiology department. The probability distribution of future workload is represented by the convolution of two families of random variables such that a compound Poisson process adequately describes workload requirements. The model developed herein can be applied to a wide assortment of capacity-expansion problems that are characterized by discrete demands (e.g. number of jobs) occurring in a given period of time, where the amount of time needed to complete each job is a continuous random variable.