Climate,diseases, and the origins of corruption

It has been commonly observed that tropical countries tend to suffer from intense corruption and underdevelopment. This study provides an explanation for this long-standing disparity across the world based on variation in the intensity of ultraviolet radiation (UV-R). The central hypothesis is that UV-R is positively associated with the (historical) prevalence of eye diseases, which significantly shortens work-life expectancy as a skilled worker. This helps shape the worldwide distribution of corruption by affecting the incumbents' window of opportunity. Using data for up to 139 countries, I consistently find empirical support for the positive relationship between UV-R and corruption. The main findings withstand accounting for numerous alternative explanations for international differences in corruption levels. Employing individual-level data from the World Values Survey, I document suggestive evidence that exposure to UV-R is linked to surveyed respondents' tolerance towards corrupt activities. Furthermore, a subnational analysis for China lends credence to the cross-country evidence.     

Institutions for private sector development and pro‐poor growth: Evidence from Vietnam

Using the Vietnam Household Living Standards Survey 2008, we explore the differences in pro‐poor growth performance in provinces in Vietnam according to the quality of the provinces’ institutions that support private sector activity. We exploit the localized and varying effect of French colonial legacy across Vietnamese provinces to address the endogeneity of institutions. We find strong and robust evidence of a positive effect of good‐quality institutions that support private sector activity on pro‐poor growth and that enhanced working hours and hourly wage and extended income from non‐farm self‐employment play critical roles in this outcome.     

Executive Compensation and Financial Performance Measures: Evidence from Significant Financial Institutions

We survey the use of financial performance measures in determining executive pay among significant Australian financial institutions. We document evidence of the pervasiveness with which externally disclosed non‐GAAP (non‐Generally Accepted Accounting Principles) financial measures are also used internally to determine variable remuneration, with the apparent popularity of cash profit after tax in short‐term incentives plans. Our evidence also highlights the increasing use of peer group‐adjusted measures (e.g., relative cash earnings per share and return on equity ranking against a peer group) in determining longer‐run incentives, despite the fact that members of the peer group do not measure financial performance in a directly comparable manner. Detailed analysis of the four major trading banks (Australia and New Zealand Banking Group, Commonwealth Bank, National Australia Bank and Westpac) reveals differences in the way non‐GAAP earnings measures are calculated across the major banks, as well as some variation over time in the way individual banks measure performance. We also document evidence of non‐GAAP earnings restatements, with around 25% of non‐GAAP results subsequently being restated. These restatements are more likely to result in a downward revision of the initially reported non‐GAAP result than an upward revision. We therefore conclude that existing measures of financial performance used to determine senior executive compensation are not as ‘objective’, as might be assumed.     

Social media bots and stock markets

This study examines the link between information spread by social media bots and stock trading. Based on a large sample of tweets mentioning 55 companies in the FTSE 100 composites, we find significant relations between bot tweets and stock returns, volatility, and trading volume at both daily and intraday levels. These results are also confirmed by an event study of stock response following abnormal increases in the volume of tweets. The findings are robust to various specifications, including controlling for traditional news channel, alternative measures of volatility, information flows in pretrading hours, and different measures of sentiment.     

Task‐based structures in open source software: revisiting the onion model

Studies on Open Source Software (OSS) developer communities have long stated that there is a relationship between community structure and tasks carried out by project members. This relationship has been exemplified by the onion model, which has been instrumental in understanding self‐coordination in OSS projects. Despite its ubiquity, there is a lack of empirical evidence to validate the relative position of each task cluster within the onion model. In this study, we map out the community structure of a large open source project and observe its bug‐fixing patterns to explore the relationship between tasks and structure. Our study makes three significant contributions. First, we find no empirical evidence to support the structural location of bug‐fixing tasks in the onion structure. Second, we find empirical evidence to support the core‐periphery continuum model linking an actor’s coreness to problem‐solving ability. Third, our results suggest that the importance and location of each task within the core‐periphery structure evolve over time. These findings add clarity to the community structure and their implications for the management and coordination of collaborative innovation projects.     

Involuntary excess reserve and bankers’ remuneration: evidence from Chinese banks

This article analyses the effects of involuntary excess reserves (IER) on bankers’ remuneration and the penalty associated with bank risk-taking if discovered. The study finds that IER help conceal tail risks, improves bankers’ performance and remuneration. However, the risks once discovered result in heavy penalties on bankers’ remuneration. The study extends the agency theory to the context where banks hold large IER.     

The Effect of Board Diversity on Earnings Quality: An Empirical Study of Listed Firms in Vietnam

Previous studies have established that firms’ effectiveness can differ based on the differences among directors within a board, and between boards. However, studies have yet to establish the effectiveness of the diverse attributes of the board on firms’ quality of earnings in an emerging market setting such as Vietnam. This study investigates the effect of board diversity on earnings quality in a sample of Vietnamese listed firms. The two dimensions of board diversity measures in this study cover a wide range of structural and demographic attributes of board of directors, using a diversity‐of‐boards index (dissimilarities among firm boards, i.e., board structure) and a diversity‐in‐boards index (dissimilarities among directors within a board, i.e., demographic attributes of board members). Earnings quality is an aggregate measure compiled from four accounting‐based measures of earnings quality: accruals quality, earnings persistence, earnings predictability and earnings smoothness. We find a significant, positive linear relationship between diversity of boards and earnings quality, while the relationship between diversity in boards and earnings quality is non‐linear, with a U‐shaped curve.     

Research collaboration model in academic social networks

ABSTRACT

This paper proposes a hybrid collaboration recommendation method that accounts for research similarities and the previous research cooperation network. Research cooperation is measured by combining the collaboration time and the number of co-authors who already collaborated with at least one scientist. Research similarity is based on authors’ previous publications and academic events they attended. A weighted directed graph is built to discover new collaborators by using direct and indirect connections between scientists. Moreover, a consensus-based system is built to integrate bibliography data from different sources. The experimental results show that our method improves the recommendation performances over other methods.     

Tail dependence between gold and sectorial stocks in China: perspectives for portfolio diversification

This article analyzes the relationship between gold quoted on the Shanghai Gold Exchange and Chinese sectorial stocks from 2009 to 2015. Using different copulas, our results show that there is weak but significant tail dependence between gold and Chinese sectorial stock returns. This means that the dependence between extreme movements of the two assets is not pronounced and confirms the role of gold as a safe haven asset. Based on analyzing the efficient frontier, CCC-GARCH optimal weights, hedge ratios and hedging effectiveness, we further show that adding gold into Chinese stock portfolios can help to reduce their risk. Gold appears to be the most efficient diversifier for stocks of the materials sector and the less efficient for the utilities sector. As a robustness check, we also compare gold to oil and indicate that gold is more efficient than oil in the diversification of Chinese stock portfolios.

     

Evaluating museum visitor experiences based on user-generated travel photos

ABSTRACT

This research introduces online travel photos published on social media platforms as a complementary data resource to examine the behavior and experience of museum visitors. The practical value of online travel photos is demonstrated through a case study of popular Hong Kong museums, particularly by using the photo content and metadata available from the Flickr platform. The proposed approach is a generic method for understanding museum visitor behavior and preferences, and supports museum practitioners in developing improved products for visitors. The case study findings are particularly beneficial for tourism managers, especially those in Hong Kong, in promoting and attracting tourists to visit local museums.