Public Management 1996: Once More Unto the Breach

Reviewing public administration in Australia was once akin to watching glaciers — you knew there was movement and something was happening beneath the surface, but detection required patient observation over a long period of time.     

The relationship between education, experience, and police performance

This study used data from 299 police officers from 12 municipal police departments across the state of Virginia to determine the relationship between education and police performance. Performance was measured by supervisor evaluations of each officer's overall performance, communication skills, public relations skills, report writing skills, response to new training, decision making ability, and commitment to the police department. Significant correlations were found between education and most measures of performance. Most importantly, the results show a significant correlation between overall performance and education (r=24, p.<001). The only variables not proving to be significantly related to education were objective measures of the volume of arrests, number of times the officer required discipline, and number of accidents. Interestingly, the benefits of a college education do not become apparent until police officers gain experience. In addition, police, officers with only a high school diploma decreased in overall performance after five years of experience.     

Fertility,development, and family planning, 1970–1980: An analysis of cases weighted by population

A series of related studies (Freedman and Berelson, 1976; Mauldin and Berelson, 1978; and Tsui and Bogue, 1978) have presented empirical findings based on multiple regression analysis which indicated that family planning program effort (FP), as measured by an index developed by Lapham and Mauldin (1972), was the single most important predictor of (or influence on) fertility reduction in less-developed countries (LDCs). The basic results have been confirmed repeatedly. A more extensive data set was used to extend the analysis to a comparison of results of corss-sectional models circa 1970 and 1980. The study builds upon the results of past studies yet differs from them in several ways. All the variables in the present study were measured at 2 points in time: circa 1970 and circa 1980, allowing a comparison between cross-sectional models for 1970 and 1980. Among the cases included in this multivariate analysis was China, a country usually excluded for lack of data. The analysis was extend to 85 countries. Cases were weighted by population, having the effect of increasing the impact of larger countries such as India and China on the outcome of the analysis. Total fertility rate (TFR) was used as an indicator of fertility. For 1970, family planning program effort had the strongest direct influence on fertility (a result consistent with previous studies). Life expectancy at birth was the other direct influence. The direct influence of life expectancy at birth was less than that of family planning, but the total influence was greater. After life expectancy and family planning, school enrollment and relative educational status of women had the strongest indirect and total influences. The other variables all had a positive influence on fertility. When the total variance attributable was considered, directly and indirectly to each of the independent variables, urbanization, carlorie supply, and per capita gross national product all accounted for less than 5% of the variance in fertility, all of it indirect. Life expectancy, family planning, and school enrollment each explained (directly plus indirectly) more than 10% of the variance in fertility. The pattern differed somewhat for 1980. Calorie supply, per capita gross national product, and relative educational status of women had no influence, direct or indirect on fertility. Also for 1980, life expectancy had a stronger direct influence on fertility than family planning. Overall, life expectancy at birth, family planning program effort, and total school enrollment emerged as the principal influences on fertility.     

From fiddle factors to networks of collusion: Charting the waters of small business crime

Small business crime has been largely ignored in American criminology; studies of nontraditional crime have focused mainly on corporate crime or on the misdeeds of employees pursuing personal gain. This paper calls for criminologists to redirect their efforts toward the systematic study of small business crime. In particular, it advocates in-depth qualitative studies that explore small business culture and opportunity structures, and that examine the networks of collusion that subvert the legitimate economy. The paper concludes with illustrations from an own story currently being shared with the author by a small businessman who participated for five years in an urban crime network that infiltrated the redistributive economy.     

Inequality and fertility

This article focuses on the relationship between inequality and fertility, with empirical analysis only of direct influences. Whereas much of the literature seems to be based on 0-order correlations, the present study uses multiple regression analysis to test the strength of the evidence for a relationship between inequality and fertility when competing hypotheses are also considered. In addition, this study attempts to clarify some of the issues surrounding the measurement of inequality and to show how these may affect empirical results. It appears from the results presented here that research into the relative status of women as an influence on fertility holds considerable promise. In particular, it is interesting that a measure of the relative status of women (ratio of female school enrollment to male school enrollment) that is highly correlated with absolute educational status of people in the nation in general, and even more highly correlated with absolute educational status of women, emerges as one of 3 important predictors of fertility. The other measure of the relative educational status of women (female school enrollment ratio minus male school enrollment ratio), which has lower correlations with absolute educational status both of women and people in general, does not appear important, although it should be an equally valid indicator of women's status. It also has lower correlations with total fertility rates. 1 focus of further research should be an attempt to disentangle the effects of the relative status of women from absolute status of women and absolute status of people in the nation as a whole. Less promising is the prospect of future work on the relationship between income inequaltiy and fertility. The results are unencouraging with respect to both sampling problems and the actual magnitude of the effect of inequality on fertility. Overall, it appears that the importance of income inequality as an influence on fertility may have been overstated in the past.     

Revisiting Shapiro: Welfare Magnets and State Residency Requirements in the 1990s

The Personal Responsibility and Work Opportunity ReconciliationAct of 1996 (PRWORA) generated renewed interest in welfare racesto the bottom as states received greater discretion over eligibilitystandards for new residents. Despite U.S. Supreme Court decisionsfinding welfare-residency requirements unconstitutional andmounting empirical evidence that welfare benefits do not attractpoor migrants, state policymakers have enacted welfare-reformplans that treat newcomers differently as authorized in PRWORA.This article reviews the existing research on welfare migration,current state-residency requirements, and central constitutionalissues surrounding such requirements. With the likelihood thatcourts will have the final word on the current round of statewelfare-residency requirements, it is essential that empiricalresearch on welfare magnets examine the issues central to thecases currently moving through the judicial system.     

The balanced scorecard: Sustainable performance assessment for forensic laboratories

The purpose of this article is to introduce the concept of the balanced scorecard into the laboratory management environment. The balanced scorecard is a performance measurement matrix designed to capture financial and non-financial metrics that provide insight into the critical success factors for an organization, effectively aligning organization strategy to key performance objectives. The scorecard helps organizational leaders by providing balance from two perspectives. First, it ensures an appropriate mix of performance metrics from across the organization to achieve operational excellence; thereby the balanced scorecard ensures that no single or limited group of metrics dominates the assessment process, possibly leading to long-term inferior performance. Second, the balanced scorecard helps leaders offset short term performance pressures by giving recognition and weight to long-term laboratory needs that, if not properly addressed, might jeopardize future laboratory performance.