Insider ownership, ownership concentration and investment performance: An international comparison

This article makes two important contributions to the literature on the incentive effects of insider ownership. First, it presents a clean method for separating the positive wealth effect of insider ownership from the negative entrenchment effect, which can be applied to samples of companies from the US and any other country. Second, it measures the effects of insider ownership using a measure of firm performance, namely a marginal q, which ensures that the causal relationship estimated runs from ownership to performance. The article applies this method to a large sample of publicly listed firms from the Anglo-Saxon and Civil law traditions and confirms that managerial entrenchment has an unambiguous negative effect on firm performance as measured by both Tobin's (average) q and our marginal q, and that the wealth effect of insider ownership is unambiguously positive for both measures. We also test for the effects of ownership concentration for other categories of owners and find that while institutional ownership improves the performance in the USA, financial institutions have a negative impact in other Anglo-Saxon countries and in Europe.     

FARMER AND FARM CONCEPTS IN MEASURING ADOPTION LAGS

Conventional definitions of the time to adoption of an innovation do not consider whether a potential adopter already had decision-making responsibilities at the time the innovation became available. Data from a pest management survey conducted in India are used to evaluate empirically an alternative definition that takes into account when farmers assumed decision-making responsibilities.     

Public- and Private-Sector Wage Differentials in Canada Revisited

Using a variety of techniques, we estimate the wage premium for federal, provincial, and municipal public-sector employees in Canada. We find that females in the public sector are paid a wage premium, with federal government workers enjoying the highest rents, followed by local and provincial public-sector employees. Estimates for males suggest that rent payments are comparably less, but results are inconclusive.     

Improving road transport operations through lean thinking: a case study

Traditionally, logistics and transportation problems have been addressed through mathematical modelling, operations research, and simulation, but criticism has emerged about their effectiveness to actually address real-life problems. This paper documents a case study whereby the road transport operations of a leading Mexican brewery were improved through lean thinking and waste reduction. Two lean-based principles and tools were combined: the Seven Transportation Extended Wastes and Transportation Value Stream Mapping. Three systematic steps were proposed to facilitate the implementation of improvement. Feasibility studies conducted in this research suggested that lean thinking is an effective alternative for the improvement of road transport operations. The findings of this research could be used as guidance for transport managers to improve road transport operations. This paper also expands the limited evidence of the application of lean thinking in road transport logistics and highlights the research areas where its application has been concentrated in this sector.     

Partitioning uncertain workloads

We present a method for determining the ratio of the tasks when breaking any complex workload in such a way that once the outputs from all tasks are joined, their full completion takes less time and exhibit smaller variance than when running on the undivided workload. To do that, we have to infer the capabilities of the processing unit executing the divided workloads or tasks. We propose a Bayesian Inference algorithm to infer the amount of time each task takes in a way that does not require prior knowledge on the processing unit capability. We demonstrate the effectiveness of this method in two different scenarios; the optimization of a convex function and the transmission of a large computer file over the Internet. Then we show that the Bayesian inference algorithm correctly estimates the amount of time each task takes when executed in one of the processing units.     

Contractual restrictions on insider trading: a welfare analysis

Summary. This paper analyzes the welfare effects of permitting firms to negotiate contractually the right to allow corporate insiders to trade shares in the firm on private information. A computational framework is employed to (i) analyze formally the effects of insider trading on managerial investment choice, the informational efficiency of stock prices, and the welfare of all investor types; and (ii) examine the effectiveness of various compensation schemes (such as stock and insider trading rights) to mitigate conflicts of interest between managers and shareholders. I show that shareholders will typically choose not to grant insider trading rights to managers. This decision is socially optimal. Received: September 23, 2000; revised version: December 12, 2000     

中国的男性人口过剩--规模、结构、影响因素及其发展趋势分析

对中国男性人口过剩的规模、结构、影响因素及其发展趋势进行了标准化分析.研究表明:1982与1990年男性人口过剩规模与比例已处较高水平.更为严重的是在未来几十年时间内中国男性人口过剩问题将日渐严重,性别结构因素的影响将逐渐增强,并最终成为男性人口过剩的首要影响因素,年龄结构与人口规律因素的影响将逐年减弱.婚姻市场也因此将受到前所未有的冲击.     

A lender-based theory of collateral

We consider an imperfectly competitive loan market in which a local relationship lender has an information advantage vis-à-vis distant transaction lenders. Competitive pressure from the transaction lenders prevents the local lender from extracting the full surplus from projects. As a result, the local lender inefficiently rejects marginally profitable projects. Collateral mitigates the inefficiency by increasing the local lender's payoff from precisely those marginally profitable projects that she inefficiently rejects. The model predicts that, controlling for observable borrower risk, collateralized loans are more likely to default ex post, which is consistent with the empirical evidence. The model also predicts that borrowers for whom local lenders have a relatively smaller information advantage face higher collateral requirements, and that technological innovations that narrow the information advantage of local lenders, such as small business credit scoring, lead to a greater use of collateral in lending relationships.