Does expenditure in public governance guarantee less corruption? Non-linearities and complementarities of the rule of law

Corruption is an endemic societal problem with profound implications in the development of nations. In combating this issue, cross-national evidence supporting the effectiveness of the rule of law seems at odds with poorly realized outcomes from reforms inspired in the academic literature. This paper provides an explanation for such contradiction. By building a computational approach, we develop three methodological novelties into the empirical study of corruption: (1) modeling government expenditure as a more adequate intervention variable than traditional indicators, (2) generating large within-country variation by means of bottom-up simulations (instead of cross-national data pooling), and (2) accounting for all possible interactions between covariates through a spillover network. Our estimates suggest that, the least developed a country is, the more difficult it is to find the right combination of policies that lead to reductions in corruption. We characterize this difficulty through a rugged landscape that governments navigate when changing the total budget size and the relative expenditure towards the rule of law. Importantly our method helps identifying the—country-specific—policy issues that complement the rule of law in the fight against corruption.

     

The Influence of Socioeconomic Factors on Economic Growth

The main goal of this paper is to analyse the relationship between social capital and economic growth taking into account the role of fiscal policy from theoretical and empirical points of view. To achieve this goal, “Human Capital and Public Capital Effects on Economic Growth” is focused on the effects of two traditional factors: human capital and public capital effects on economic growth. “Social Capital Effects on Economic Growth” considers qualitative variables introducing some socioeconomic effects on economic growth process analysis. In this case, social capital the main variable will be considered. “Empirical Analysis,” an empirical analysis is developed considering the case of European countries prior to the EU enlargement. Finally, in Conclusions,” the main conclusions will be resumed.      

Affective predictors of the effectiveness of training moderated by the cognitive complexity of expected competencies

Research in training, development and education (TD&E) in organizations has produced important results in the last two decades. Evaluation of TD&E has been a special focus of this research, which has resulted in the production of relevant predictive models. The present study has the aim of testing a model of effectiveness of training on work, with the trainee's motivation and satisfaction with training as the antecedent variables and the type of training as a moderator variable. Data collection with 600 participants in a Brazilian bank was conducted with measurement scales before training, at its end and three months later. The data were analyzed through structural equation modeling. The results indicate that the motivation of the trainee and satisfaction with training are predictors of its effectiveness on work and that the type of training affects this predictive relationship. The key feature of the type of training was the cognitive complexity of expected competencies.     

The Effect of Joint Auditor Pair Composition on Audit Quality: Evidence from Impairment Tests

Using a sample of firms from France, where the law requires the use of two auditors, we study the effect of auditor pair composition on audit quality by examining a specific account, goodwill impairment. We document that firms audited by a Big 4–non‐Big 4 auditor pair (BS) are more likely to book an impairment and book a larger impairment than firms audited by a Big 4–Big 4 auditor pair (BB) when low‐performance indicators suggest a greater likelihood of impairment. Moreover, firms audited by a BB pair reduce impairment disclosures when they book impairments, while firms audited by a BS pair do not, suggesting lower transparency for firms audited by a BB pair. Our results inform investors and firms in mandatory joint audit regimes, as well as regulators who are considering requiring joint audits.     

Does good governance prevent bad strategy? A study of corporate governance,financial diversification,and value creation by French corporations, 2000–2006

Building on and extending prior research, we propose a comprehensive framework which posits that free cash flow moderates the impact of corporate governance on financial diversification. We argue that because it increases CEO perceived risk, alignment devices increase rather than decrease financial diversification. In a sample of 59 publicly traded French corporations during 2000–2006, we show that financial diversification negatively impacts shareholder return and firm value. We obtain support for several of our hypotheses: at high levels of free cash flow, CEO variable compensation increases financial diversification, whereas chairman/CEO non‐duality reduces it. In contrast, independent directors increase financial diversification at low values of free cash flow (although weakly). We also find that ownership concentration only reduces financial diversification when free cash flow is low.Copyright © 2012 John Wiley & Sons, Ltd.     

Physicians' appraisal of mobile health monitoring

This study addresses what factors influence and moderate Japanese physicians' mobile health monitoring (MHM) adoption for diabetic patients. In light of the multilevel sequential check theory, the study tests whether novelty seeking, self-efficacy, and compatibility moderate the effects of overall quality, net benefits, and perceived value of MHM on physicians' usage intention. Self-efficacy serves as an evaluation of resources for coping with an event, while compatibility involves the judgment of an event's congruence with a motive or goal. The study results support four out of nine moderation hypotheses. Our findings clearly indicate that the impact of overall quality and net benefits on physicians' intention to use MHM would be significantly strengthened by self-efficacy and compatibility, but not by novelty seeking.     

An additive property of weak records from geometric distributions

Let $\{W_m\}{_{m\ge 1}}$ be the sequence of weak records from a discrete parent random variable, $X$ , supported on the non-negative integers. We obtain a new characterization of geometric distributions based on an additive property of weak records: $X$ follows a geometric distribution if and only if for certain integers, $n,\, s\ge 1, W_{n+s}\stackrel{d}{=}W_n+W^{\prime }_s$ , with $W^{\prime }_s$ independent of $W_n$ and $W^{\prime }_s\stackrel{d}{=} W_s$ .     

Non‐additivity in Accounting Valuation: Theory and Applications

This paper has three objectives. First, to introduce a theoretical solution to the issue of non‐additivity between assets in place, relying on an accounting‐based valuation approach. Second, to explain how such an approach can be implemented empirically by measuring synergies between assets. Third, to present the properties of this non‐additive valuation technique. We use Choquet capacities, that is, non‐additive aggregation operators, to measure the interactions between assets and apply our methodology to a sample of US firms from the capital goods industry. To operationalize our approach we examine the relationships between synergies—captured by Choquet capacities—and the market‐to‐book ratio (proxying for growth options), and show how interactions between assets are consistently linked to a firm’s market‐to‐book ratio. We also measure firm‐specific productive efficiency relative to the industry and firm size. For large firms, efficiency, as defined by our approach, is positively associated with higher future operating cash flows. For small firms, efficiency is positively associated with higher future sales growth. We document that the non‐additive approach appears to be better able to identify expected relationships between efficiency and future performance than a simpler approach based on the market‐to‐book ratio.     

Drivers of non-profit activity: a cross-country analysis

This paper contributes to the existing debate on the determinants of non-profit activity. The main theories have been centered in (1) the study of the individual behavior of people (donors, non-profit entrepreneurs), (2) one single factor or (3) one single country. To quantify this approach, data for 38 countries have been used, extracted from World Values Survey, United Nations Development Program and Global Entrepreneurship Monitor. A structural modeling approach based in partial least squares (PLS) has been applied. The results provide evidence of the strength of environmental factors such as trust, economic development and social care public expenditures in non-profit activity. The model doesn’t confirm the existence of a positive relationship between entrepreneurship and non-profit activity. Nevertheless, the authors consider that the supply side theories and the idea of spatial production of entrepreneurship are quite consistent and find some signs evidencing a positive relationship between these variables.