Incorporating sustainability criteria into credit risk management

Does a commercial debtor's economic, environmental and social performance in terms of sustainability affect its credit risk rating? Does adding criteria aimed at assessing a lender's environmental, social or sustainability practices provide added value to traditional financial rating criteria? Many analyses have reported that a correlation exists between companies' environmental and their financial performance. We checked out the assertion that it ‘pays to be sustainable’ by analyzing the role that criteria pertaining to sustainability and environmental orientation play in the commercial credit risk management process. Our results show that sustainability criteria can be used to predict the financial performance of a debtor and improve the predictive validity of the credit rating process. We conclude that the sustainability a firm demonstrates influences its creditworthiness as part of its financial performance. Copyright © 2008 John Wiley & Sons, Ltd and ERP Environment.     

The impact of job embeddedness on innovation‐related behaviors

It has often been argued that low turnover leads to less innovation in organizations, not only because fewer job vacancies are available for outsiders with new ideas, but also because longer‐tenured employees might be more resistant to change. In this study, we propose that job embeddedness may actually strengthen employees' motivation to generate, spread, and implement innovative ideas in organizations. In a longitudinal study with a diverse sample, we found that job embeddedness was positively and significantly related to innovation‐related behaviors, even after controlling for demographic variables, the job attitudes, and the job perceptions that are frequently associated with job embeddedness. In addition, we found some support for the proposed moderating effects of career stage; that is, the relationship between job embeddedness and implementing innovative ideas was stronger for individuals in the mid‐ and late stages of their careers than for those in the early stage of their careers. This article concludes with directions for developing future theory. © 2010 Wiley Periodicals, Inc.     

Capital flows and the boom–bust cycle: The case of Estonia

During 2000–2007, Estonia was among the fastest growing emerging market economies, but in late-2008 entered a deep recession. This paper examines shocks, institutions, and policies that have made Estonia's boom–bust cycle so severe. It finds that an open capital account, the prospect for EU entry, and the currency board facilitated massive capital inflows, which led to credit and real estate booms. In late-2008 a domestic slowdown was greatly amplified by the global financial and economic crisis. To resume sustainable growth, the country will need to regain competitiveness and rebalance resources to exports. Estonia's experience underscores the importance for other emerging market economies to retain some flexibility in their macroeconomic frameworks and approach capital account liberalization cautiously.     

The effects of economic news on commodity prices

We assess how commodity prices respond to macroeconomic news and show that commodities have been relatively insensitive to such news over daily frequencies between 1997 and 2009 compared to other financial assets and major exchange rates. Where commodity prices are influenced by news, there is a pro-cyclical bias and these sensitivities have risen as commodities have become increasingly financialized. However, models based on news still do a relatively poor job of forecasting commodity prices at daily frequencies. We also find some asymmetries in how commodity prices respond to news, most notably for gold, which alone among commodities acts as a safe-haven when “bad” economic news emerges.     

Supplier satisfaction and commitment: The role of influence strategies and supplier development

Although considerable research is dedicated to influence strategies and supplier development, a lack of empirical support exists of their effects on supplier satisfaction and commitment. This exploratory study aims to fill this gap by investigating first-tier suppliers in the German automotive industry. Supplier reactions to three different influence strategies and two types of supplier development efforts are examined. Results indicate that supplier commitment is affected by the use of promises and both human- and capital-specific supplier development, while supplier satisfaction is affected by indirect, other direct influence strategies and capital-specific supplier development.     

Ecosystem Service Value and Agricultural Conversion in the Amazon: Implications for Policy Intervention

We explore the welfare implications of agricultural expansion in the Brazilian Amazon by comparing spatially explicit estimates of soybean rents and the value of ecosystem services. Although these estimates are generated from different datasets, models, and estimation techniques, the values are comparable, such that the value of ecosystem services is greater than soybean rents for about 61% of the total area and 24% of the area where soybean rents are positive if protected areas are well enforced. Based on the balance between the benefits and costs of conversion, failure to value ecosystem services reduces total social welfare by 7.13 billion dollars annually relative to an optimum. Policy instruments that internalize the value of ecosystem services via protected lands, land conversion taxes, conservation subsidies, or excise taxes can avoid much of this loss. Regardless of intervention regime, policy makers should be cognizant of the diminishing net benefits of converting natural ecosystems to agriculture. Realizing the final 3.8% requires the conversion of an additional 15% natural ecosystems to soybean production.     

Family business goal formation: a literature review and discussion of alternative algorithms

Management Review Quarterly - Goals represent an organization’s desired outcomes, and family businesses are known to pursue multiple goals, which commonly include both financial and...     

Antecedents to supplier integration in the automotive industry: A multiple-case study of foreign subsidiaries in China

Supplier integration has become an important concept for improving supply chain performance. The aim of this paper is to identify factors that facilitate and inhibit supplier integration in the context of the Chinese automotive industry. An inductive approach based on grounded theory was chosen as the research methodology, where data was collected through 30 detailed case interviews with subsidiaries of foreign automotive companies operating in China. The results indicate that buyer-side leadership is an important antecedent for building motivation, trust, and commitment among suppliers and for shaping their mindsets. This, in turn, facilitates strategic alignment and enables suppliers to build collaborative capabilities, which are finally shown to be a key enabler for successful supplier integration.     

May’s theorem in an infinite setting

We generalize May’s theorem to an infinite setting, preserving the elementary character of the original theorem. We define voting scenarios and generalized voting scenarios, and prove appropriate versions of May’s theorem. The case of generalized voting scenarios specialized to a countably infinite set of voters and the collections of all coalitions that have asymptotic density, shows that majority rule is the only aggregation rule that satisfies neutrality, irrelevance of null coalitions, anonymity, and positive responsiveness.     

Least squares model averaging by Mallows criterion

This paper is in response to a recent paper by Hansen (2007) who proposed an optimal model average estimator with weights selected by minimizing a Mallows criterion. The main contribution of Hansen’s paper is a demonstration that the Mallows criterion is asymptotically equivalent to the squared error, so the model average estimator that minimizes the Mallows criterion also minimizes the squared error in large samples. We are concerned with two assumptions that accompany Hansen’s approach. The first is the assumption that the approximating models are strictly nested in a way that depends on the ordering of regressors. Often there is no clear basis for the ordering and the approach does not permit non-nested models which are more realistic from a practical viewpoint. Second, for the optimality result to hold the model weights are required to lie within a special discrete set. In fact, Hansen noted both difficulties and called for extensions of the proof techniques. We provide an alternative proof which shows that the result on the optimality of the Mallows criterion in fact holds for continuous model weights and under a non-nested set-up that allows any linear combination of regressors in the approximating models that make up the model average estimator. These results provide a stronger theoretical basis for the use of the Mallows criterion in model averaging by strengthening existing findings.