Firm heterogeneity, productivity and spatially bounded knowledge externalities

In this paper, we argue that conceptually disentangling the ‘context versus composition’ aspects of regional growth is a multilevel issue. By applying multilevel models (also called random-effects models), we show (1) the importance of considering firm-specific characteristics simultaneously with region-specific characteristics, as we find that a large part of what is traditionally assigned to the impact of the region should be assigned to firm-specific characteristics and (2) that existing single-level methodologies can be problematic, as they are vulnerable to the charge of estimating significance levels that are too liberally assigned and promote exaggerations. This is illustrated empirically by showing that single-level approaches would lead to the conclusion that innovation spillovers are highly significant in a setting of Dutch urban growth differentials, while multilevel analyses shows less liberally assigned significance levels. We conclude that multilevel-effect models better fit research questions that combine firm and spatial characteristics simultaneously, especially because they allow firm-specific characteristics to be differently linked to their regional contexts.     

Stochastic Generational Accounting Applied to Reforms of Dutch Occupational Pensions

This paper examines stochastic or ‘value based’ generational accounting as a method to assess the intergenerational redistributive impact of pension reform. The analysis is applied to three policy changes to the regulation of Dutch occupational pensions during the years 2012 and 2013 that mark the transition from defined benefit pensions to ‘defined ambition’ pension schemes.     

Job protection,housing market regulation,and the youth

Young Europeans experience high unemployment rates, job instability, and late emancipation. Meanwhile, they do not support reforms weakening protection on long‐term contracts. In this paper, we suggest a possible rationale for such reform distaste. When the rental market is strongly regulated, landlords screen applicants with regard to their ability to pay the rent. Protecting regular jobs offers a second‐best technology to sort workers, thereby increasing the rental market size. We provide a model where nonemployed workers demand protected jobs despite unemployment and the share of short‐term jobs increases, whereas the individual risk of dismissal is unaffected. Our theory can be extended to alternative risks and markets involving correlated risks and commitment under imperfect information.     

Cannabis use and mental health problems

This paper investigates whether cannabis use leads to worse mental health. To do so, we account for common unobserved factors affecting mental health and cannabis consumption by modeling mental health jointly with the dynamics of cannabis use. Our main finding is that using cannabis increases the likelihood of mental health problems, with current use having a larger effect than past use. The estimates suggest a dose–response relationship between the frequency of recent cannabis use and the probability of currently experiencing a mental health problem. Copyright © 2010 John Wiley & Sons, Ltd.     

The behavioural intentions of specialty coffee consumers in South Africa

More than 1.6 billion cups of coffee are consumed worldwide on a daily basis. South Africa is rapidly adapting to worldwide trends with speciality coffee consumption on the rise, with South Africa recently having been recognised as a key player in the speciality coffee industry. Emerging market trends in speciality coffee consumption have resulted in a number of changes in consumption patterns, preferences and consumer behaviour. The purpose of this study was to determine the behavioural intention of speciality coffee consumers in South Africa, using the Theory of Planned Behaviour. The data were gathered from a non‐probability sample of 327 respondents, who were selected through a self‐completion online questionnaire. The results indicate that males consume more speciality coffee than females. The majority of respondents consume speciality coffee more than once a day, and foam cappuccinos are consumed most regularly. The results of the stepwise multiple regression analysis demonstrate the utility of the Theory of Planned Behaviour as a conceptual framework for predicting the behavioural intention of speciality coffee consumers. The findings indicate that attitude, subjective norms and perceived behavioural control are important predictors of behavioural intention. Furthermore, perceived behavioural control is the most important factor influencing speciality coffee consumption, and the most influential of the direct measures of the Theory of Planned Behaviour. With the current rise in speciality coffee consumption among South Africans, the Theory of Planned Behaviour framework contributes to understanding those factors which influence regular speciality coffee consumption. It is recommended that marketers and practitioners adapt their offerings to appeal to the specific needs of the growing speciality coffee market in South Africa.     

The influence of job characteristics and self‐directed learning orientation on workplace learning

Given the increasing importance of learning at work, we set out to examine the factors which influence workplace learning behaviour. The study investigated the influence of the job characteristics from Karasek's Job Demand Control Support model and the personal characteristic self‐directed learning orientation on workplace learning. A total of 837 workers, aged between 18 and 65, from different sectors and with different educational levels completed a paper questionnaire. Analysis revealed that job demands and self‐directed learning orientation constitute significant and positive predictors of workplace learning behaviour. The study can help organizations to create job structures that promote workplace learning.     

Collective self-governance in a marine community: expedition cruise tourism at Svalbard

Collective self-governance is gaining attention in the literature for maintaining the quality of key attractions and promoting sustainable tourism. The long-term success of collective self-governance is dependent on both its internal organization and its embeddedness in external state and non-state regulations. This paper presents the marine community concept, consisting of a policy and a user community, as a framework for investigating the internal and external dynamics of collective self-governance and its ability to steer toward sustainable cruise tourism. As methodology, a case study design was chosen which was primarily studied by means of interviews with a spectrum of relevant actors concerning expedition cruise tourism at Svalbard. By applying the marine community to Svalbard expedition cruise tourism governance, we draw the following conclusions: (1) collective self-governance complements governmental regulation through access to knowledge, conflict resolution and rule-compliance based on disclosure, traceability and trust; (2) collective self-governance's increasing role in the policy community alienates the expedition crew from the user community; and (3) informational overflow by co-existence of collective self-governance and state-governance challenges sustainable cruise tourism. Collective self-governance would, therefore, benefit from reflection, especially regarding the role of the user community that functions as an intermediary between state and self-governance regulations.     

Random regret minimization for consumer choice modeling: Assessment of empirical evidence

This paper introduces to the field of marketing a regret-based discrete choice model for the analysis of multi-attribute consumer choices from multinomial choice sets. This random regret minimization (RRM) model, which has recently been introduced in the field of transport, forms a regret-based counterpart of the canonical random utility maximization (RUM) paradigm. This paper assesses empirical results based on 43 comparisons reported in peer-reviewed journal articles and book chapters, with the aim of finding out to what extent, when, and how RRM can form a viable addition to the consumer choice modeler's toolkit. The paper shows that RRM and hybrid RRM–RUM models outperform RUM counterparts in a majority of cases, in terms of model fit and predictive ability. Although differences in performance are quite small, the two paradigms often result in markedly different managerial implications due to considerable differences in, for example, market share forecasts.