Evaluating efficient public good provision: Theory and evidence from a generalised conditional efficiency model for public libraries

Provision of most public goods (e.g., health care, libraries, education, police, fire protection, utilities) can be characterized by a two-stage production process. In the first-stage, basic inputs (e.g., labor and capital) are used to generate service potential (e.g., opening hours, materials), which is then, in the second-stage, transformed into observed outputs (e.g., school outcomes, library circulation, crimes solved). As final outputs are also affected by demand-side factors, conflating both production stages likely leads to biased inferences about public productive (in)efficiency and its determinants. Hence, this paper uses a specially tailored, fully non-parametric efficiency model allowing for both outlying observations and heterogeneity to analyse efficient public good provision in stage one only. We thereby employ a dataset comprising all 290 Flemish public libraries. Our findings suggest that ideological stance of the local government, wealth and density of the local population and source of library funding (i.e., local funding versus intergovernmental transfers) strongly affect library productive efficiency.     

The Relationship between Consumers' Unethical Behavior and Customer Loyalty in a Retail Environment

This paper investigates the relationship between two outcomes of relationship marketing – affective commitment and behavioral loyalty – and consumers' unethical behavior. The main objective of the study is to assess whether affective commitment and behavioral loyalty to a store translate into more ethical behavior towards that store, controlling for the variables of age, gender, and ethical beliefs. The study does not rely on a single measurement tool, but is based on ten months' panel data and three different mail surveys targeted at 359 Belgian households. The results provide support for our hypothesis that affective commitment is indeed negatively correlated with consumers' unethical behavior. The same conclusion could not be drawn for the relationship between behavioral loyalty and consumers' unethical behavior. No significant relationship was detected, not even in situations where affective commitment was high. The results hold major implications for retailing practice.     

Team Work or Territorial War?

Abstract

This article studies the extent to which the newly created figure of the management team in local government in Flanders might lead to changes in administrative conduct. It uses a new institutionalism perspective in three worlds of action to study the mediating effect of meso-organizational and micro-individual factors on macro-constitutional reform. The empirical analysis (based on an assessment of the reform by the key acting municipal secretaries) highlights the importance of meso-factors for change. Especially the extent to which integrative thinking and independence from politics are present in the administrative logic of appropriateness seems to matter. This is complemented by micro-individual assumptions on the overall improvement of the macro-constitutive framework of reform.     

Increasing choice satisfaction through goal-based labeling

Business practitioners increasingly seem to believe in the power of goal-based labels (i.e., labels that link assortment items to consumption goals). While previous literature has focused on feature-based approaches to increase choice satisfaction, we introduce goal-based labeling as a consumer-based approach to increase choice satisfaction. Since goal-based labels (e.g., a ??Family Trip?? camera versus a ??Professional?? camera) relate choice alternatives directly to consumption goals, they allow consumers to bypass translating product attributes into goal attainment. Quantitative and qualitative results of an experimental study indicate that novice consumers, but not experts, benefit from goal-based labeling in multiple ways. Novice consumers use goal-based labels as an important cue in their decision making. This can significantly increase their chances at making an optimal choice. Choosing from a goal-based labeled assortment also has a positive effect on the choice satisfaction of novices. Mediation analyses show that a decrease in the choice uncertainty drives the positive effect of goal-based labeling on choice satisfaction. Novices apparently do not blindly follow the labels that are provided but try to understand the link between labels and attributes. Hence, among novices, inaccurately labeled assortments not only result in suboptimal choice but also in higher uncertainty and lower satisfaction. For experts, goal-based labeling is largely irrelevant, as it does not have an effect on their choice satisfaction, nor on their likelihood to make an optimal choice.     

Identifying financially illiterate groups: An international comparison

Targeted policy interventions are more effective than one‐size‐fits‐all initiatives. This paper proposes the use of k‐means cluster analysis to identify vulnerable groups with respect to financial literacy. Using a rich sample of 12 countries, we distinguish 4 groups with varying financial literacy levels, and examine their socio‐economic characteristics. The results suggest that individuals in the most vulnerable financially illiterate groups are on average, single, less‐educated and unemployed with low incomes. This contrasts with those in the strongest group: individuals with the highest financial knowledge, financial behaviour and financial attitudes scores are on average highly educated males who live together with a partner. They earn a high income and hold several financial products. Integrating these insights into national strategies which promote financial literacy will not only lead to more effective but also to more efficient policy initiatives by focusing on the particular weaknesses of certain subgroups and using the appropriate transmission channels.     

Data accuracy's impact on segmentation performance: Benchmarking RFM analysis,logistic regression,and decision trees

Companies greatly benefit from knowing how problems with data quality influence the performance of segmentation techniques and which techniques are more robust to these problems than others. This study investigates the influence of problems with data accuracy – an important dimension of data quality – on three prominent segmentation techniques for direct marketing: RFM (recency, frequency, and monetary value) analysis, logistic regression, and decision trees. For two real-life direct marketing data sets analyzed, the results demonstrate that (1) under optimal data accuracy, decision trees are preferred over RFM analysis and logistic regression; (2) the introduction of data accuracy problems deteriorates the performance of all three segmentation techniques; and (3) as data becomes less accurate, decision trees retain superior to logistic regression and RFM analysis. Overall, this study recommends the use of decision trees in the context of customer segmentation for direct marketing, even under the suspicion of data accuracy problems.     

County capital cities,county public finance and county economic geography

We are interested in the county governments role for the county seat economy. Our suggestion is this: Rather than discuss changes in county seat location at a given budget (representing a rare natural experiment), we should look at changes in county budget holding fixed county seat location (yielding a steady flow of observations). In the papers model changes in the county budget translate into changes in county seat employment. In the papers empirical test against a sample of German county seats we find it difficult to reject this.Received: February 2003, Accepted: Accepted May 2004JEL Classification: R53, H72, R23Kristof Dascher: I have benefitted from comments by three anonymous referees. I am also grateful for financial support from the CEPR research network on Foreign Direct Investment and the Multinational Organization, funded by the European Commission under contract number ERBFMRXCT980215.     

Extreme inequality aversion without separability

Hammond (J Econ Theory 11, 465–467, 1975), Meyer (J Econ Theory 11, 119–132, 1975), and Lambert (The distribution and redistribution of income Manchester University Press, Manchester, 2001) provide the formal result connecting leximin and the idea of extreme inequality aversion for social preferences of the expected utility type. Using an analogous approach, we show that for social preferences not necessarily satisfying the separability axiom that underlies expected utility theory, the case of extreme inequality aversion is covered by the class of weakly maximin social preferences—i.e., the class of social preferences that give priority to the worst off in all cases in which the worst off is not indifferent. I wish to thank Bart Capéau, Frank Cowell, Peter Lambert, Luc Lauwers, Erik Schokkaert, Frans Spinnewyn, and Bertil Tungodden for valuable comments. Remaining shortcomings are mine. Financial support from the Fund for Scientific Research - Flanders (grant G.0005.04) and the Interuniversity Attraction Poles network funded by the Federal Public Planning Service, Belgian Science Policy (grant P5/21-A) is gratefully acknowledged.     

Biontechs Steuerbooster und seine Nebenwirkungen auf das Finanzgefüge

Wirtschaftsdienst - Der Mainzer Impfstoffhersteller Biontech hatte 2021 eine glänzende Geschäftsentwicklung, die zu einem sprunghaften Anstieg der rheinland-pfälzischen...     

孔夫子大获全胜

美国人认为，中国的战略挑战来自于新式的隐形战斗机。不过，我认为中国发起的真正的挑战，是其教育体系的崛起以及对教育的浓厚热情