Measuring the Incidence of Over- and Undereducation

We deploy the unique opportunity of a dataset of Flemish school leavers to measure the incidence of over- and undereducation on the basis of the six applied measures in the literature. The incidence of overeducation in the first job after leaving school ranges from only 8% to 51%, undereducation ranges from 3% to 21%. While 66% is overeducated on the basis of at least one measure, only 3% is overeducated on the basis of every measure. Mismatch correlations range from 5% to 82%. Also the categories in terms of gender, educational level and region of residence with the highest likelihood of being overeducated depend on the measure. These findings clearly underline the weakness of the literature on this subject. However, measuring overeducation in different ways enables to derive some alternative concepts. Genuine overeducation amounts to about 20%. The incidence of over- and undereducation is both attributed to qualification inflation and deflation, and a credential gap. Finally, about 80% of the incidence of overeducation is classified as being structural.     

Overeducation, regional labor markets, and spatial flexibility

For most workers, access to suitable employment is severely restricted by the fact that they look for jobs in the regional labor market rather than the global one. In this paper we analyze how macrolevel opportunities (regional market characteristics) and microlevel restrictions (the extent to which job searchers are restricted to the regional market) can help to explain the phenomenon of overeducation. We use a two-step procedure to control selective access to employment. The results show that the size of the labor market is an important factor in avoiding overeducation.     

Why do standardized ISO 14001 environmental management systems lead to heterogeneous environmental outcomes?

Institutional theories and resource‐based views have suggested that, although they appear similar externally, standardized management systems may be implemented very differently in different organizations. This variability in implementation may be responsible for the heterogeneous performance of these standardized management systems. The current literature on the environmental impacts of ISO 14001 certification has largely neglected this phenomenon. Drawing on our survey of all US 14001 certificate holders, this study finds that great variability does exist in facilities' implementation of ISO 14001 standards. This heterogeneity has a significant impact on the linkage between ISO 14001 certification and facilities' environmental performance. In particular, we find that facilities that integrate ISO 14001 standards into their daily operations are more likely to report improvements in environmental performance. Environmental improvements are also more likely to occur in facilities that include performance management elements in their ISO 14001 standards. Furthermore, both types of facility are more likely to report that ISO certification contributes to this improvement. Neglecting the heterogeneity in facilities' implementation of ISO 14001 standards may explain the instability of findings from the empirical literature investigating the impacts of ISO 14001 certification. Theoretically, this paper informs the understanding of heterogeneous organizational behavior under isomorphic pressures. Copyright © 2008 John Wiley & Sons, Ltd and ERP Environment.     

Self-selection in education with matching frictions

This paper studies the efficiency of educational choices in a two-sector/two-schooling level matching model of the labour market where a continuum of heterogenous workers allocates itself between sectors depending on their decision to invest in education. We show that self-selection in education is inefficient, and overeducation takes place. Too many workers are willing to acquire education, as they do not internalize the impact of their education decision on the others' wage and employment perspectives.     

Investments in education and welfare in a two-sector,random matching economy

We consider a random matching model where heterogeneous agents choose optimally to invest time and real resources in education. Generically, there is a steady state equilibrium where some agents, but not all of them, invest. Regular steady state equilibria are constrained inefficient in a strong sense. The Hosios (1990) condition is neither necessary nor sufficient for constrained efficiency. We also provide restrictions on the fundamentals sufficient to guarantee that equilibria are characterized by overeducation (or undereducation), present some results on their comparative statics properties, and discuss the nature of welfare improving policies.     

Evaluation of the Impacts of Innovation in the Health Care Sector: A comparative analysis

Assessing impacts related to the adoption of an innovation represents a particular challenge. However, the use of innovation in government organizations does have some effects: some intended, others unintended; some desirable, others undesirable. Findings in literature now suggest that the use of innovation in government organizations produces beneficial results for the most part. The purpose of this article is to provide a multi-dimensional framework for assessing the impacts of innovation on an organization’s performance as perceived by individual stakeholders and at organizational level. In particular, this framework is designed to evaluate the impacts resulting from the introduction of electronic medical records, namely an organizational, cultural, and technological innovation that many health care providers are currently undertaking. It provides the results of a comparative analysis carried out in Spain and Italy and discusses the need for a more systematic evaluation assessment of the innovation processes.     

我国城市中的街头商贩:政策思辨与规划管理

街头商贩是我国城市规划与管理中不容回避的客观现象。如何应对街头商贩已引起公众的广泛探讨,但城市领域内的学术研究却有不足。以国内外多学科的文献梳理为基础,首先分析街头商贩的概念并总结其特征,简要回顾我国街头商贩发展历史,归纳街头商贩对城市的正面和负面影响;进而提出对于街头商贩既不应"一扫而净",也不能"放任不管",而是要进行弹性化、精细化、人性化的科学规划与管理;并针对不同空间分布类型的街头商贩提出相应的管理思路与规划对策。     

The effect of performance measurement systems on firm performance: A cross-sectional and a longitudinal study

Performance measurement (PM) systems have been popularized over the last 20 years and the operations management literature is replete with discussion of metrics and measurement systems. Yet, a comprehensive nomological network relating types of PM system uses to organizational capabilities and performance is lacking. Furthermore, there is scant empirical evidence attesting to the explanatory efficacy of PM systems as it relates to organizational performance. We view PM system uses through the lenses of the Resource Orchestration Theory (ROT) and explore specific relationships of underlying variables by relying on the Organizational Information Processing Theory (OIPT). Resting on the extant literature, we identify two types of uses which include Diagnostic Use (the review of critical performance variables in order to maintain, alter, or justify patterns in an organizational activity) and interactive use (a forward-looking activity exemplified by active and frequent involvement of top management envisioning new ways to orchestrate organizational resources for competitive advantage) and relate them along with their interaction (i.e., dynamic tension) to organizational capabilities. We further link capabilities to target performance, which subsequently impacts organizational performance (operationalized through both perceptual and objective financial performance measures). The nomological network is tested via a cross sectional study (386 Italian firms) while the efficacy of PM systems to explain organizational performance is examined by using longitudinal panel data approaches over a 10 year period. There is sufficient evidence to suggest that the use of PM systems leads to improved capabilities, which then impact performance. Contrary to the extant literature, however, we discovered that Diagnostic Use appears to be the most constructive explanatory variable for capabilities. On the other hand, in light of a longitudinal study, we also uncovered that Diagnostic Use experienced depreciating returns as far as objective financial measures are concerned. Also, when high levels of Diagnostic Use were coupled with low levels of Interactive Use, they produced the lowest levels of organizational capabilities. Conversely, high levels of both types of PM system use generated extraordinary high levels of capabilities. There is sufficient evidence to suggest that organizations cannot rely merely on Diagnostic Use of PM systems. We also learned that the effects of PM systems (measured via adaptation) fade unless high learning rates are applied. We offer detailed recommendations for future research which have theoretical as well as empirical implications.     

The use of real options valuation methodology in enhancing the understanding of the impact of climate change on companies

Climate change has in recent years gathered traction on the business, political and social agenda. From the business perspective, research has shown that climate change impacts on company value are uncertain, significant and strategically important. The challenge therefore is for the business community to apply financial valuation models that support the incorporation of the climate change impacts in strategic planning. However, the commonly used discounted cash flow techniques in capital budgeting are seen as failing to address the high levels of uncertainties inherent in climate change impacts. Real options thinking has been touted as having the potential to enhance understanding of these impacts via its direct handling of uncertainty, although not much research has been done to demonstrate this. Using an illustrative case study, this research presents an argument for introducing the real options approach, a new method for valuing options of future strategic action by companies in a setting that exhibits climate change impacts. The objective of this research is to contribute to the literature on strategic tools for addressing climate change and ultimately offer some management insights that can narrow the gap between finance theory and business practice. Copyright © 2009 John Wiley & Sons, Ltd and ERP Environment.     

On the appropriate objective function for post-disaster humanitarian logistics models

The paper argues that welfare economic principles must be incorporated in post-disaster humanitarian logistic models to ensure delivery strategies that lead to the greatest good for the greatest number of people. The paper's analyses suggest the use of social costs—the summation of logistic and deprivation costs—as the preferred objective function for post-disaster humanitarian logistic models. The paper defines deprivation cost as the economic valuation of the human suffering associated with a lack of access to a good or service. The use of deprivation costs is evaluated with a review of the philosophy and the economic literature to identify proper foundations for their estimation; a comparison of different proxy approaches to consider human suffering (e.g., minimization of penalties or weight factors, penalties for late deliveries, equity constraints, unmet demands) and their implications; and an analysis of the impacts of errors in estimation. In its final sections, the paper conducts numerical experiments to illustrate the comparative impacts of using the proxy approaches suggested in the literature, and concludes with a discussion of key findings.     

Exports and cross-national corruption: A disaggregated examination

This paper empirically examines the relation between categories of exports and corruption across countries. Aggregate exports and agricultural exports tend to decrease corruption, while fuel exports increase corruption. The influence of agricultural exports in more pronounced in more corrupt nations, while fuel exports contribute to corruption in least corrupt nations. Manufacturing and ore exports, on the other hand, generally fail to show significant impacts on corruption. Our findings demonstrate that the resource curse is sensitive to prevailing corruption levels, and this finding is novel in the literature. Consistent with the extant literature, corruption decreases with income, and (at some corruption levels) as political freedom increases, and with larger government size. The findings are fairly robust to an alternate corruption measure.     

公务员晋升中的彼得原理现象探因与策略

在现实的层级制的政府组织中,职务晋升现象是普遍存在的,但同时也存在不合理的晋升现象,文章从彼得原理入手作出剖析并针对其给出积极有效的策略。     

SKILLS MISMATCH: CONCEPTS,MEASUREMENT AND POLICY APPROACHES

The term skills mismatch is very broad and can relate to many forms of labour market friction, including vertical mismatch, skill gaps, skill shortages, field of study (horizontal) mismatch and skill obsolescence. In this paper, we provide a clear overview of each concept and discuss the measurement and inter‐relatedness of different forms of mismatch. We present a comprehensive analysis of the current position of the literature on skills mismatch and highlight areas which are relatively underdeveloped and may warrant further research. Using data from the European Skills and Jobs Survey, we assess the incidence of various combinations of skills mismatch across the EU. Finally, we review the European Commission's country‐specific recommendations and find that skills mismatch, when referring to underutilized human capital in the form of overeducation and skills underutilization, receives little policy attention. In cases where skills mismatch forms part of policy recommendations, the policy advice is either vague or addresses the areas of mismatch for which there is the least available evidence.     

Transfer payments and the Phillips Curve

Policy makers are today confronted with a worsening relationship between inflation and unemployment. Voluminous economic literature on the “Phillips Curve” has long attempted to show why inflation and unemployment are normally inversely correlated. More recent literature has sought to identify factors that could worsen the apparent tradeoff. This paper uses the labor sector of the System Dynamics National Model to analyze the potential impacts of increased transfer payments on inflation and unemployment. The results suggest that in the short run, higher transfer payments can prolong job search, thereby boosting unemployment, while simultaneously driving up wages due to reduced labor availability. But over the longer term, rising wages raise the attrractiveness of working, thereby compensating for higher transfer payments. Therefore, higher transfer payments are not permanently inflationary. Key long-run impacts of transfer payments may be to raise relative costs of labor, thereby lowering employment through factor substitution, and to discourage dropout from the labor force so as to maintain eligibility for payments.     

Optimal time-consistent reinsurance and investment strategies for a jump–diffusion financial market without cash

This paper considers an optimal reinsurance and investment strategies for an insurer under mean–variance criterion within a game theoretic framework. Specially, it is assumed that the surplus process is governed by a Cramér–Lundberg model, and apart from purchasing reinsurance, the insurer is allowed to invest in a financial market with multiple assets that all can be risky, whose price processes are modeled by the jump–diffusion process. Due to the market without cash, the method of separating the variables is not viable any more. We turn to an alternative approach to solve the extended Hamilton–Jacobi–Bellman equation, and closed-form expressions of the optimal strategies and value function are not only derived but also proved to be uniqueness. Moreover, some special cases of our model are provided and several numerical analyses for our results are presented as well. Under this criterion, different from existing literature, we find that (i) the value function is not linear but quadratic with respect to the current wealth; (ii) the optimal reinsurance and investment strategies depend on the wealth process; (iii) the parameters of risky assets(insurance market) have impacts on the optimal reinsurance(investment) policy; (iv) the safety loading of the insurer affects the optimal strategies.     

A comparative analysis of factors influencing the socioeconomic impacts of electric generating facilities

In recent years electric generating facility developments have become the foci of extensive controversy and resulting project delays, due in part to uncertainties and unknowns pertaining to a broad range of socioeconomic impacts which may occur. Unfortunately, socioeconomic impact research has not resolved many of these unknowns. Case study research findings have generally provided little new knowledge as to socioeeonomic impact dimensions and their causes. This paper attempts to avoid some shortcomings of prior research via a comparative analysis of some socioeconomic impact dimensions as they occurred in a sample of U.S. electric generating facilities. The paper focuses on an investigation of factors which may influence the extensiveness of developmentinduced local impacts. Both facility characteristics and characteristics of the locale which hosts facility development are suggested as possible impact determinants. Using correlational and regression procedures, expectations regarding the effects of facility size, construction time, distance to a metropolitan center, local population density and growth rates, and local labor force characteristics on overall “community service” impacts are examined. Results indicate both consistency and inconsistency with prior research conclusions, and suggest that some characteristics of the development and the development area are important in projecting the likely levels of some facility-induced socioeconomic impacts.     

THE ECONOMICS OF ABSENCE: THEORY AND EVIDENCE

Abstract. Worker absenteeism constitutes a significant loss of work-time and therefore has important implications for both household income and firm productivity. Despite this, the economics profession has been somewhat laggard relative to other disciplines in addressing the phenomenon. The situation is, however, changing, with recent years witnessing a mild flurry of activity. The aim of this paper is to maintain, and if possible, enhance this momentum. We do this firstly by developing some basic theoretical ideas which we consider to be central to an economic analysis of absence. In particular, we address the often cited claim that observed absence is unequivocally inefficient. Second, by reviewing some of the key contributions, we attempt to assess where the literature on the economics of absence stands at present, as well as suggesting some potentially fruitful lines of future enquiry.     

On a theory of scale types

Summary In this paper conditions will be derived under which two measurement scales are of the same type. To this end the concepts of a regular measurement system, an irreducible relational system, and an exact definition of the type of a scale are introduced. It will be proved that in the case of fundamental measurement regularity of a measurement system, irreducibility of the corresponding relational system, and the restriction on isomorphic representations are closely related. Finally, some remarks about the group-theoretic foundations of Narens “Theory of Possible Scale Types” will be made.