Analysing Systemic Risk in the Chinese Banking System

We examine systemic risk in the Chinese banking system by estimating the conditional value at risk (CoVaR), the marginal expected shortfall (MES), the systemic impact index (SII) and the vulnerability index (VI) for 16 listed banks in China for the 2007–2014 period. We find that these measures show different patterns, capturing different aspects of systemic risk of Chinese banks. However, rankings of banks based on these measures are significantly correlated. The time‐series results for the CoVaR and MES measures suggest that systemic risk in the Chinese banking system decreased after the global financial crisis but started rising in 2014.     

Semi-analytical prices for lookback and barrier options under the Heston model

Decisions in Economics and Finance - Under the Heston stochastic volatility model, we derive semi-analytical formulas for the prices of path-dependent options with payoffs linked to the maximum or...     

Commodity Price Volatility and the Sources of Growth

This paper studies the impact of the growth and volatility of commodity terms of trade (CToT) on economic growth, total factor productivity, physical capital accumulation and human capital acquisition. We use the standard system generalized methods of moments (GMM) approach as well as the dynamic common correlated effects pooled mean group (CCEPMG) methodology for estimation to account for cross‐country heterogeneity, cross‐sectional dependence and feedback effects. Using both annual data for 1970–2007 and 5‐year non‐overlapping observations, we find that while CToT growth enhances real output per capita, CToT volatility exerts a negative impact on economic growth operating mainly through lower accumulation of physical and human capital. Productivity, however, is not affected by either the growth or the volatility of CToT. Our results also indicate that the negative growth effects of CToT volatility offset the positive impact of commodity booms. Therefore, we argue that volatility, rather than abundance per se, drives the ‘resource curse’ paradox. Copyright © 2014 John Wiley & Sons, Ltd.     

Environmental Innovations and Internationalization: Theory and Practices

Based on original data on Italian firms specializing in medium‐ and low‐tech industries, we study the relationship between firms’ upstream and downstream internationalization and their propensity to introduce products or processes that reduce environmental impact. Preliminary evidence suggests that geography plays an important role in green firms’ activities and supply chains. More precisely, results suggest that firms that outsource to and rely on non‐local suppliers are less likely to engage in environmental innovations. Moreover, we verify that firms engaged in export activities play a similar and negative role, regardless of the export intensity and typology of foreign markets (i.e. developed versus emerging). Tapping global flows of knowledge by being a part of a multinational group positively spurs the development of green innovations, as for FDIs. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment     

When companies improve the sustainability of the natural environment: A study of large U.S. companies

In light of the call for companies to abandon current approaches to environmental management, this study adds to the environmental strategy literature and uses the evidence of competitive dynamics among companies to identify a mechanism by which companies invest in proactive environmental strategies and thereby improve the sustainability of the natural environment. An examination utilizing fixed effects regressions on a sample of large U.S.‐based companies reveal that even after controlling the number, environmental and financial performance of leading (environmental) companies, laggard (environmental) companies are more likely to invest in proactive environmental strategies when their leading peers display higher sustainability orientations. Neither the expectation of government regulation nor social movement pressure was found to be influential in this relationship. Therefore, the future dominance of companies' investments in the sustainability of the natural environment will be driven by companies themselves as long as competitive advantages are expected.     

Antecedents of Purchase Intention in the Online Context

The understanding of the determinant factors of customer purchase intention is necessary, and it is equally important to study the online purchase context, since this context is disseminated among customers. A theoretical model has been elaborated on and tested, considering the constructs of information quality, distrust, and perceived risk as antecedents of purchase intention, and aiming to analyze the relationship among these constructs in the online purchase context. A quantitative research study has been performed by means of the application of a survey. Multivariate statistics techniques have been applied for data analyses, including structural equation modeling. This study contributes to the evolution of the empirically tested concepts by providing a greater individual understanding of each construct presented in the theoretical model, as well as the relationship among them as determinants of purchase intention; the indication is that meaningful relationships were found which may impact greater profitability and, consequently, greater competition for online retailers.     

Organisational consequences of asymmetries in task dependence: the moderating role of HR practices

This study integrates recent advances in interdependence theory with the literature on commitment‐based HR practices. New research on interdependence theory suggests that differences, or asymmetries, in task dependence among organisational members can cause interests to diverge. Prior research has shown that this can negatively affect interpersonal relations, individual outcomes and team processes. However, these insights gained on the dyadic, individual and team levels of analysis have not yet been explored at the organisational level and, until now, no research had yet connected these advances in interdependence theory to the field of HRM research. Hence, the current study investigates (a) whether asymmetries in task dependence do (or do not) matter at the organisational level and affect organisational effectiveness, (b) why this relationship may work by assessing a key mediator, namely, trust climate and (c) if and how these relationships can be altered by commitment‐based HR practices. Our moderated‐mediation model was tested and fully supported by a multi‐source data set of 8,390 employees from 67 organisations.     

Does Inter‐jurisdictional Competition Engender a “Race to the Bottom”? A Meta‐Regression Analysis

A growing literature documents the existence of strategic political reactions to public expenditure between rival jurisdictions. These interactions can potentially create a downward expenditure spiral (“race to the bottom”) or a rising expenditure spiral (“race to the top”). However, in the course of identifying the existence of such interactions and ascertaining their underlying triggers, the empirical evidence has produced markedly heterogeneous findings. Most of this heterogeneity can be traced back to study design and institutional differences. This article contributes to the literature by applying meta‐regression analysis to quantify the magnitude of strategic inter‐jurisdictional expenditure interactions, controlling for study, and institutional characteristics. We find several robust results beyond confirming that jurisdictions do engage in strategic expenditure interactions, namely that strategic interactions: (i) are weakening over time, (ii) are stronger among municipalities than among higher levels of government, and (iii) appear to be more influenced from tax competition than yardstick competition, with capital controls and fiscal decentralization shaping the magnitude of fiscal interactions.     

Issues in the analysis of co-authorship networks

Scientific collaboration is a complex phenomenon that improves the sharing of competences and the production of new scientific knowledge. Social Network Analysis is often used to describe the scientific collaboration patterns defined by co-authorship relationships. Different phases of the analysis of collaboration are related to: data collection, network boundary setting, relational data matrix definition, data analysis and interpretation of results. The aim of this paper is to point out some issues that arise in these different phases, highlighting: (i) the use of local archives versus international bibliographic databases; (ii) the use of different approaches for setting boundaries in a whole-network; (iii) the definition of a co-authorship data matrix (binary and weighted ties) and (iv) the analysis and the interpretation of network measures for co-authorship data. We discuss the different choices that can be made in these phases within an illustrative example on real data which is referred to scientific collaboration among researchers affiliated to an academic institution. In particular, we compare global and actor-level network measures computed from binary and weighted co-authorship networks in different disciplines.