Candidate gene studies and the quest for the entrepreneurial gene

Candidate gene studies of human behavior are gaining interest in economics and entrepreneurship research. Performing and interpreting these studies is not straightforward because the selection of candidates influences the interpretation of the results. As an example, Nicolaou et al. (Small Bus Econ 36:151?C155, 2011) report a significant association between a common genetic variant in the DRD3 gene and the tendency to be an entrepreneur. We fail to replicate this finding using a much larger, independent dataset. In addition, we discuss the candidate gene approach and give suggestions to avoid the publication of false positives.     

Do ‘Good Governance’ Codes Enhance Financial Accountability? Evidence from Managerial Pay in Dutch Charities

This paper examines the initial impact of a ‘good governance’ code for charitable organisations that was promulgated in the Netherlands in 2005. Data are gathered from publicly available annual reports of 138 charities in the post‐implementation phase of the code (2005–2008). We first examine whether the code altered charities’ governance structures. Next, we investigate managerial pay as a key aspect of discharging financial accountability because prior literature focused on ‘excessive’ compensation. The findings indicate that a strengthened governance structure positively affects the likelihood of disclosing information concerning managerial pay, as well as mitigating managerial pay level.     

Regional GDP in the UK, 1861–1911: new estimates

This article compares the Geary–Stark method for distributing known GDP totals across regions with a variation suggested by Crafts. Tests of the Geary–Stark method confirm that it generates accurate estimates of regional GDP. There are practical and conceptual problems with Crafts' extension, and it is not tested nor is it testable. New estimates of regional GDP for the period 1861 to 1911 contradict Crafts's suggestion of rising regional inequality. Purchasing power parity adjustments do not alter this trend. The new estimates confirm Ireland's post‐Famine catch‐up. The great bulk of Irish labour productivity growth can be accounted for by an upward shifting production function, though it can be argued that that portion of growth that represents catch‐up may be attributable to labour force decline.     

Citizen participation in public administration: investigating open government for social innovation

In recent years, public sector organizations have increasingly focused on citizen contribution by adopting instruments known from open innovation. By collaborating with the periphery and leveraging external knowledge, government institutions initiate social innovation and stimulate a positive change for society. This article examines the involvement of citizens in an ideation platform initiated by a local government and investigates the motivations affecting participation intensity. Drawing on self‐determination theory, we analyze what motivates citizens to participate in an open government platform and how these motivations influence participation quantity. Based on a survey among platform users and the analysis of usage data from the platform operator, we find that motivations of citizen participation in public administration greatly vary across forms of participation. Whereas, intrinsic motivation is positively associated with producing and consuming platform content, external and introjected regulation negatively relate to individuals’ active contribution. At the same time, external regulation is positively associated with evaluation behavior.     

Making the ‘Invisible’ Visible: Redevelopment‐induced Displacement of Migrants in Shenzhen,China

Gentrification in China is intertwined with urban redevelopment, which causes the large‐scale displacement of rural–urban migrants from ‘villages in the city’ (ViCs). Because of the informality of ViCs, migrant renters have very insecure tenancy and during redevelopment they are treated as a negligible (‘invisible’) social group. As they are very difficult to locate after displacement, they are also literally invisible to researchers. To make the invisible visible, this study traced a sample of displaced migrants from Huangbeiling village in Shenzhen. The focus was on the displacement process and on identifying the consequences for the displaced. We found various forms of displacement during the redevelopment process. Nearby ViCs were prioritized by displaced migrants to minimize as much utility loss as possible. However, they generally suffer from decreased proximity, increased living costs, and the loss of social networks and job opportunities. Remarkably, some choose to return to the gentrifying village, enduring displacement in situ caused by increasing rents, drastic physical neighbourhood changes and declining liveability, in exchange for retaining their original social and economic networks. Large‐scale urban redevelopment is causing the rapid shrinkage of informal housing. Recognizing and addressing the housing needs of this impoverished social group is a matter of urgency.     

Only the Brave: Product Innovation,Service Business Model Innovation,and Their Impact on Performance

Recent empirical findings concerning the performance effects of service business model innovation (servitization) and its interplay with product innovation are mixed. Using the lenses of the demand‐based view on value creation and complementarity, the performance impact of two key service business models is examined: the product‐oriented model and the customer‐oriented model, implemented jointly with product innovation. Results indicate that the interplay between service business model innovation and product innovation results in long‐term performance benefits coupled with a degree of short‐term performance sacrifice. Service business model innovation in isolation from product innovation results in short‐term profit gains but long‐term knowledge loss and, thus, market performance decline. Our study suggests that firms need to look beyond the evidence on short‐term effects in order to achieve superior performance in the long run.     

Performance assessment of ensemble learning systems in financial data classification

Financial data classification plays an important role in investment and banking industry with the purpose to control default risk, improve cash and select the best customers. Ensemble learning and classification systems are becoming gradually more applied to classify financial data where outputs from different classification systems are combined. The objective of this research is to assess the relative performance of existing state‐of‐the‐art ensemble learning and classification systems with applications to corporate bankruptcy prediction and credit scoring. The considered ensemble systems include AdaBoost, LogitBoost, RUSBoost, subspace, and bagging ensemble system. The experimental results from three datasets: one is composed of quantitative attributes, one encompasses qualitative data, and another one combines both quantitative and qualitative attributes. By using ten‐fold cross‐validation method, the experimental results show that AdaBoost is effective in terms of low classification error, limited complexity, and short time processing of the data. In addition, the experimental results show that ensemble classification systems outperform existing models that were recently validated on the same databases. Therefore, ensemble classification system can be employed to increase the reliability and consistency of financial data classification task.     

The Value of Product Attributes,Brands and Private Labels: An Analysis of Frozen Seafood in Germany

It is well known that the price of a food in general and fish in particular is a function of a number of attributes such as species, product form, processing form and size. However, limited attention has been given to the influence of private labels, production method, eco‐labels and promotions. We use a unique dataset which identifies these attributes in the German seafood market. We estimate a hedonic price function, and our results highlight the importance of brand and labels for seafood prices in Germany. Our results also suggest that private label products are discounted by 20%, while branded products achieve substantial price premiums, as do fish products from aquaculture.     

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.