Mindfulness and Taking Action to Start a New Business

Mindfulness, meaning a receptive attention to and awareness of present events and experience, is reported to have a wide range of benefits, but it has been suggested that it could prove costly in terms of task performance. This article analyzes how dispositional mindfulness relates to taking entrepreneurial action. Based on two waves of survey data, we find that mindful individuals are less likely to engage in entrepreneurial action than less mindful individuals, but when they do start to act, they take as many actions as individuals who score low on trait mindfulness, and even more if they have entrepreneurial experience.     

Socially Responsible Investment and Fiduciary Duty: Putting the Freshfields Report into Perspective

A critical issue for the future growth and impact of socially responsible investment (SRI) is whether institutional investors are legally permitted to engage in it – in particular whether it is compatible with the fiduciary duties of trustees. An ambitious report from the United Nations Environment Programme’s Finance Initiative (UNEP FI), commonly referred to as the ‘Freshfields report’, has recently given rise to considerable optimism on this issue among proponents of SRI. The present article puts the arguments of the Freshfields report into some further both empirical and critical perspective, however, and suggests that its findings do not call for very much optimism. The general argument is that while the understanding of fiduciary duty outlined by the Freshfields report seems to allow institutional investors to at least sometimes take some social or environmental considerations into account, the support it gives for SRI is notably contingent and, furthermore, it rules out exactly the kind of SRI which proponents of social responsibility and environmental sustainability should hold in highest regard – proactive cases and socially effective investment strategies. If SRI is to become an important force for corporate social responsibility through its adoption by institutional investors, then, it is suggested that legal reform is needed.     

Why is Chinese provincial output diverging?

In a recent paper Pedroni and Yao (2006) present strong evidence suggesting that Chinese provincial per-capita output is diverging, a result that goes against the Chinese government’s goal of a balanced wealth-creation across provinces. This paper provides an in-depth analysis of the reasoning behind this finding. Our main result is that the divergence does exist, even when new data and more advanced methods of analysis are used. We also find that it has both an idiosyncratic and a common component. Hence, the increased per-capita output inequalities observed at the provincial level is due to both province-specific disparities and to disparities between groups of provinces.     

Quality Meets Structure: Generalized Reciprocity and Firm‐Level Advantage in Strategic Networks

In this paper we extend previous research by combining network structural and network process approaches. Specifically, in a six‐year, three‐wave study of 41 firms in two strategic networks, we found that the interaction between generalized reciprocity among a focal firm's partners and network tie intensity and betweenness centrality improved firm performance. No influences were observed for the interaction involving degree centrality and generalized reciprocity. Our research suggests that managers in strategic networks may need to consider the balance between relationship‐extensive and relationship‐intensive strategies.     

CCE estimation of factor‐augmented regression models with more factors than observables

This paper considers estimation of factor‐augmented panel data regression models. One of the most popular approaches towards this end is the common correlated effects (CCE) estimator of Pesaran (Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 2006, 74, 967–1012, 2006). For the pooled version of this estimator to be consistent, either the number of observables must be larger than the number of unobserved common factors, or the factor loadings must be distributed independently of each other. This is a problem in the typical application involving only a small number of regressors and/or correlated loadings. The current paper proposes a simple extension to the CCE procedure by which both requirements can be relaxed. The CCE approach is based on taking the cross‐section average of the observables as an estimator of the common factors. The idea put forth in the current paper is to consider not only the average but also other cross‐section combinations. Asymptotic properties of the resulting combination‐augmented CCE (C³E) estimator are provided and tested in small samples using both simulated and real data.     

Indirect Estimation of Semiparametric Binary Choice Models*

One of the most cited studies within the field of binary choice models is that of Klein and Spady (1993) , in which the authors propose a semiparametric estimator for use when the distribution of the error term is unknown. However, although theoretically appealing, the estimator has been found to be difficult to implement, and therefore not very attractive from an applied point of view. The current study offers an indirect inference‐based solution to this problem. The new estimator is not only simple with good small‐sample properties, but also consistent and asymptotically normal.     

The Influence of Biodiversity Provision on the Cost Structure of Swedish Dairy Farming

Multi‐functionality and the provision of eco‐system services are politically highly prioritised aspects of farming. This study uses a Symmetric Generalised McFadden cost function to analyze the relationship between costs of production and the provision of biodiversity for Swedish milk farms. Biodiversity indicators are based on the number of valuable plant species present at the farm and are modeled as an output in the cost function. The results show that the marginal cost of biodiversity increases with higher provision, and that an increased provision of biodiversity also increases the costs of market commodities such as milk and beef. The upward slope of the marginal cost of biodiversity and its competitive relationship with market goods questions the efficiency of support schemes based on voluntary programmes with a flat‐rate per hectare compensation. Instead, the results support targeted environmental policy schemes with zonings and/or the use of biodiversity indicators.     

Struggling with social capital: Pakistani women micro entrepreneurs’ challenges in acquiring resources

Abstract

A crucial aspect of successful venturing is social capital. In contrast to traditional Western-oriented research where social capital is construed positively, we found that in the traditional, patriarchal society of Pakistan, social capital puts high restrictions on women micro entrepreneurs – where social capital prevents or slows venturing efforts. Results also show that although women do get some selective access to resources from family members, they are restricted by limited access to social capital outside of family members. As women entrepreneurs have the potential to play an important role in the development of any society, and especially so in developing countries, based on the insights derived from this qualitative study, we propose suggestions for further research on women micro entrepreneurs in non-Western contexts.     

Error Correction Testing in Panels with Common Stochastic Trends

This paper develops panel data tests for the null hypothesis of no error correction in a model with common stochastic trends. The asymptotic distributions of the new test statistics are derived and simulation results are provided to suggest that they perform well in small samples. Copyright © 2015 John Wiley & Sons, Ltd.     

Does the choice of estimator matter when forecasting returns?

While the literature concerned with the predictability of stock returns is huge, surprisingly little is known when it comes to role of the choice of estimator of the predictive regression. Ideally, the choice of estimator should be rooted in the salient features of the data. In case of predictive regressions of returns there are at least three such features; (i) returns are heteroskedastic, (ii) predictors are persistent, and (iii) regression errors are correlated with predictor innovations. In this paper we examine if the accounting of these features in the estimation process has any bearing on our ability to forecast future returns. The results suggest that it does.