Career success schemas and their contextual embeddedness: A comparative configurational perspective

We introduce career success schemas as critical for understanding how people in different contexts perceive and understand career success. Using a comparative configurational approach, we show, in a study of 13 countries, that two structural characteristics of career success schemas—complexity and convergence—differ across country contexts and are embedded in specific configurations of institutional factors. Adopting complexity and convergence as primary dimensions, we propose a taxonomy of career success schemas at the country level. Based on this taxonomy, we contribute to the understanding of subjective career success across countries, discuss the importance of schemas for organisational career systems in multinational enterprises, and propose specific guidelines for future comparative careers research.     

Methodological Issues in the Design of Online Surveys for Measuring Unethical Work Behavior: Recommendations on the Basis of a Split-Ballot Experiment

In recent years, there has been an increasing interest in unethical work behavior. Several types of survey instruments to collect information about unethical work behavior are available. Nevertheless, to date little attention has been paid to design issues of those surveys. There are, however, several important problems that may influence reliability and validity of questionnaire data on the topic, such as social desirability bias. This paper addresses two important issues in the design of online surveys on unethical work behavior: the response scale for questions regarding the frequency of certain types of unethical work behavior and the location of the background questions in an online survey. We present the results of an analysis of a double split-ballot experiment in a large sample (n = 3,386) on governmental integrity. We found that, when comparing response scales that have labels for all categories with response scales that only have anchors at the end, the latter provided answers with higher validity. The study did not provide support for the conventional practice of asking background questions at the end.     

Imported input varieties and product innovation: Evidence from five developing countries

We examine how access to imported intermediate inputs affects firm‐level product innovation in five developing counties. We combine trade data with survey data on innovation and develop a method to determine whether new inputs were essential for the product innovation. We find evidence that the number of newly imported varieties has a significant impact on product innovations that rely on new inputs and provide suggestive evidence that this effect comes from access to better quality imports. We extend our analysis to assess the consequences of the increase in the number of Chinese exporting firms on product innovation in developing countries.     

Household coping in war- and peacetime: Cattle sales in Rwanda, 1991–2001

The economic literature has given due attention to household coping strategies in peacetime. In contrast, little is known about such strategies in wartime. This paper studies the use of cattle as a buffer stock by Rwandan households during 1991–2001, a period characterized by civil war and genocide. It is found that the probability of selling cattle increases upon the occurrence of both peacetime and wartime covariant adverse income shocks. The peacetime cattle sales are largely explained by shifts in the household asset portfolio. In contrast, in 1994, the year of the genocide, almost half of the cattle sales were motivated by the need to buy food. However, we argue that the effectiveness of this coping strategy was severely reduced due to the wartime conditions. First, during the year of ethnic violence, cattle prices plummeted to less than half of their pre-genocide value. Second, we find that households most targeted in the violence did not sell cattle. We discuss several explanations for this latter finding.     

Comparing the technical efficiency of farms benefiting from different agricultural interventions in Kenya's drylands

Farmers in Kenya's drylands have difficulty accessing farm production resources and in consequence farm productivity is low. It is therefore important to find strategies for improving access to these scarce resources to help farmers use them efficiently. This paper analyses and compares the technical efficiency of five groups of small farms affected by five different agricultural interventions. The aim of the study was to identify intervention strategies that significantly improve farm efficiency. Data envelopment analysis was used to compute farm-level average technical efficiencies for each of the intervention groups. The results showed that average technical efficiency was highest for the farms that had participated in an irrigation intervention. The findings suggest that the strategies promoted by this intervention, such as access to irrigation, inputs and markets, have the most significant effect on farm efficiency.     

European Structural Indicators,A Way Forward

At the 2000 Lisbon summit, the European Union formulated the ambition to transform itself into "the most competitive and dynamic knowledge-based economy in the world capable of sustainable economic growth with more and better jobs and greater social cohesion'. It is remarkable that, until recently, European statisticians were hardly involved in the design of a statistical information system and related "structural' indicators for this important policy purpose. Instead, indicators have been designed that do not measure what they intend to measure, are based on incomparable data and give the impression of a fairly incoherent shopping list of numbers without an underlying vision on the use of these numbers in policy making. This paper argues that indicators can best be based on a coherent accounting system, such as the national accounts, and that the SESAME- system, which is an extension of national accounts and so-called Social Accounting Matrices, offers promising perspectives in this regard.     

Supply and demand factors of Cleaner technologies: Some empirical evidence

This article identifies and analyzes factors that affect the willingness of firms and consumers to develop and adopt cleaner technologies. Cleaner technologies is used as a general term for pollution abatement technologies, re-use systems, and environmentally sound consumer products and materials. The article also contains the findings of three case studies on cleaner technologies (CFC substitutes, low-solvent paints and coatings, and membrane technology), in which the importance of the identified factors is investigated. From the case studies some general conclusions are drawn about these factors, and the way in which policy instruments can be used to stimulate innovation in and diffusion of cleaner technologies. No single policy instrument is considered to be optimal. Instead a policy mix is needed, involving a much wider use of economic instruments.This paper is based on a research project for the Ministries of Economic Affairs and the Environment in the Netherlands, and is a revision of an earlier paper Policy Instruments to Stimulate Cleaner Technologies, which was prepared for the EAERE conference in Stockholm, June 11–14th, 1991. The authors thank the referee for helpful comments.     

Models and methods for economic policy: 60 years of evolution at CPB*

What is now known in English as the Netherlands Bureau for Economic Policy Analysis (CPB) has been involved in econometric model building since its foundation in 1945. During the 60 years of developing and using the models reviewed in this article, CPB's model building has evolved significantly. Over this period, a shift of emphasis can be observed from econometrics and empiricism to economic theory. New questions from policymakers and new features in the national economy have guided research, while new developments in econometrics and economic theory were taken on board wherever they helped to improve the quality and scope of the analysis. Although considerable progress has been achieved in several spheres, even the most sophisticated and up‐to‐date models continue to be riddled with some longstanding limitations and weaknesses.     

Employee development and voluntary turnover: testing the employability paradox

The employability paradox is a concern among employers. It states that development activities enhancing employees' employability also increase the risk for employee turnover. This study examined this paradox and probed the relationship between six development activities and voluntary turnover mediated by perceived employability. We tested both a turnover‐stimulating path via perceived external employability (i.e. perceived job alternatives with other employers) and a retention path via perceived internal employability (i.e. perceived job alternatives with the current employer) by using two‐wave longitudinal data from 588 employees. The results put the turnover risk into perspective: only upward job transition positively influenced turnover via perceived external employability. Also, the retention path via perceived internal employability was not supported: several development activities were positively related with perceived internal employability, but perceived internal employability did not influence turnover. We did, however, find a direct retention effect of skill utilisation. Overall, the results downplay the employability paradox.     

Measuring the trade-off between economic growth and a clean environment

This article surveys various aspects of the measurement of environmental quality from the view point of national accounting and welfare economics. It focuses on the question whether GNP or NNP should be corrected for environmental change (green or eco-GNP) or whether physical accounts provide sufficient information for an assessment of the trade-off mentioned above. We conclude that valuation of (services from) environmental capital cannot be avoided for such assessment, but can only be made using a model based approach. Statistical agencies should continue to collect data on environmental quality and to value changes in environmental capital in the context of national resource accounting. However, official statisticians should refrain from correcting GNP or NNP for environmental change, as this correction implicitly contains a political judgment and cannot be based on mere technical knowledge.