Do banking system transparency and competition affect nonperforming loans in the Chinese banking sector?

The increasing importance of transparency practices and the improving status of bank competition in China are rarely explored in nonperforming loans (NPLs) literature. Thus, the purpose of this study is to examine banking system transparency and competition along with macroeconomic and bank-specific variables as determinants of NPL. We use the two-step system GMM dynamic panel model for Chinese banks based on annual data from 2000 to 2014. Our results indicate that high transparency in the Chinese banking system decreases poor-quality assets but not in the case of government-owned banks, whereas increase in competition increases NPL. Moreover, we find mixed results in the context of macroeconomics and bank-specific variables. Our study has practical implications in risk management practices and macro prudential policies.     

Handelsblatt Ranking and Journal Quality: A Cautionary Note

I provide a brief discussion of the Handelsblatt ranking by focusing on its journal quality weights. I summarize the methodology underlying journals’ prestige measure, which is derived from their citation networks, and discuss its strengths and shortcomings. Although I agree that Handelsblatt ranking provides a great service to the profession, that same profession needs to be rather careful not to overemphasize the journal quality weights.     

Portfolio flows and the US dollar–yen exchange rate

This paper investigates the effects of portfolio flows on the US dollar–Japanese yen exchange rate changes over the period 1988:01–2011:04. Using a time-varying transition probability Markov-switching framework, the results suggest that the impact of portfolio flows on the dollar–yen exchange rate changes is state-dependent. In particular, the results show that portfolio inflows from Japan toward the US, more than monetary variables, strengthen the probability of remaining in the dollar–yen appreciation (low volatility) state. Therefore, credit controls on the flows can be used as a policy tool to pursue economic and financial stability.     

Random coefficients models of arms imports

This paper uses a large panel of data with up to 19 time-series observations for almost 150 countries to estimate models of arms imports. Qualitative evidence suggests a non-linear relationship. As income and military expenditure grow, the propensity to import first rises and then falls as a domestic arms industry develops. We face the difficulty that there is virtually no data on domestic arms procurement or production capability. We respond to this difficulty by adopting a random coefficient approach in order to identify any systematic influences on import propensity, through the impact of military expenditure, size of the armed forces or income on unobserved domestic production capability. While a clear non-linear pattern is apparent in the cross-section relationship, once one allows for parameter heterogeneity such a pattern is not apparent in the time-series.     

What makes you click?—Mate preferences in online dating

We estimate mate preferences using a novel data set from an online dating service. The data set contains detailed information on user attributes and the decision to contact a potential mate after viewing his or her profile. This decision provides the basis for our preference estimation approach. A potential problem arises if the site users strategically shade their true preferences. We provide a simple test and a bias correction method for strategic behavior. The main findings are (i) There is no evidence for strategic behavior. (ii) Men and women have a strong preference for similarity along many (but not all) attributes. (iii) In particular, the site users display strong same-race preferences. Race preferences do not differ across users with different age, income, or education levels in the case of women, and differ only slightly in the case of men. For men, but not for women, the revealed same-race preferences correspond to the same-race preference stated in the users’ profile. (iv) There are gender differences in mate preferences; in particular, women have a stronger preference than men for income over physical attributes.     

Product choice for a firm selling related products: A parimutuel application

This paper provides a framework for analysis of product choice by a multiproduct firm selling several products whose demands are interrelated. The decision making process of a racetrack-racebook regarding the parimutuel wagering products (both number and which ones) it should supply is illustrated. A racetrack-racebook is a business entity, which offers its patrons the opportunity to wager, not only on live horse racing conducted at the racetrack but also on races simulcast to that racetrack from a variety of racetracks, from both in-state and out-of-state locations. The demands for these wagering products are interrelated and these interrelationships play a key role in determining the number (and which ones) of these wagering opportunities that will be supplied. Based on the experience of a specific racetrack-racebook, these demand functions are estimated econometrically and the role of these interrelated demands in the supply decision is explored. An algorithm is developed to search over all possible product portfolios to determine that combination of products yielding the highest sales, revenue, or profit.     

Farmers’ motivations,risk perceptions and risk management strategies in a developing economy: Bangladesh experience

Aquaculture farmers’ risk perceptions and risk management strategies have still received little attention in agricultural research. Therefore, an exploratory study has been undertaken to provide empirical insight into Bangladeshi coastal shrimp farmers’ risk perceptions and risk management responses. Data from our study show that 95% of farmers have no formal training in shrimp aquaculture. Shrimp farmers’ cooperative societies operate in only 13.3% of the studied areas and only 15% of shrimp farmers are involved with these cooperative societies. The results reveal that shrimp diseases, price and availability of quality shrimp seeds, exploitation by intermediaries and uncertainty about the future demand for shrimp in foreign markets are perceived as the most important sources of risk. On the other hand, prevention of disease, timely supply of shrimp seeds, elimination of middlemen from the supply chain and farm management training are considered among the best methods to manage the risks in the shrimp‐farming business. We also observe some disparities in farmers’ perceptions. For instance, farmers mentioned that removal of influence of middlemen from supply chain is essential for the betterment of their business. However, they did not consider market monitoring, direct contract with processors and improved marketing facilities as important risk management strategies, although these factors play a significant role in reducing the influence of intermediaries and private money lenders.     

Transfer of Marketing Knowledge Within Business‐Nonprofit Collaborations

Companies often develop collaborative joint ventures with nonprofits, and sometimes help their nonprofit partners with the marketing activities associated with these projects. Often, the assistance furnished is embodied in a transfer of knowledge from a firm to a nonprofit and involves knowledge about marketing techniques, strategies and methods. This article presents the results of a survey concerning the extents, natures and effectiveness of marketing knowledge transfers taking place between 291 UK enterprises and their nonprofit partner organisations. The survey covered the knowledge transfer methods that companies employed, the scope of the knowledge communicated, the factors that encouraged or impeded marketing knowledge transfer, and the considerations that determined which partner completed most of the marketing tasks associated with a project. It emerged that knowledge transfers occurred mainly through face‐to‐face communications, though with little formal teamworking. Both the extent and the effectiveness of transfers depended on the degree of marketing knowledge within the nonprofit partner, on levels of knowledge specificity and project complexity, and on the financial importance of the collaboration. The extent of knowledge transfer was additionally influenced by cultural and organisational distance. Similar considerations affected commercial partners' decisions to do most of the marketing work required by a collaboration. Such decisions were especially likely if anti‐marketing bias existed within the nonprofit organisation and if the nonprofit's staff knew little about marketing.     

Implicit Leadership Theories of Bruneians

A leader's effectiveness is affected by the followers’ acceptance of the leader as their leader. Followers rely on their cognitive schema to judge whether someone deserves to be considered a leader. This cognitive schema is the implicit leadership theory (ILT) individuals have on the qualities of a leader. When leaders are perceived as conforming to this ILT, they are seen as leaders, and followers accept their influence attempt. This study examined the ILT of Bruneians. The findings indicate that Bruneians are associated with a distinct ILT and shows that gender and personality variables predict the variation in ILT.     

The Impact of Social Influence on Individuals' Adoption of Innovation

This article empirically examines the impact of social factors (peer and social network) on attitudes toward innovation and the impact of that attitude on individual employees adopting innovation in their workplaces in Australia. This research uses quantitative research methodology and specifically multivariate statistical analysis. The research framework is based on the theory of reasoned action, the technology acceptance model, Frambach and Schillewaert's conceptual framework, and the unified theory of acceptance and use of technology. Data were collected from employees of a tertiary institution in Australia using a structured questionnaire. The results of multiple regression analysis show that social network impacts significantly on attitudes toward an innovation which, in turn, affects the innovation adoption behavior of employees. Furthermore, social network has been found to directly influence the innovation adoption process. This outcome has strategic implications for organizations in the effective management of innovation involving employees. These implications are highlighted in the article. This research has focused on only one organization in a particular region in Australia. Future research can explore the relationship between variables by including a number of organizations across Australia and beyond to provide a deeper insight into the issues explored in this article.