Labour unions and leverage: evidence from firm-level union data

ABSTRACT

Using firm-level labour union data from Japan, this paper investigates the effect of labour unions on firm leverage. We find that as union coverage increases, both the level of and extent of change in leverage decreases. These relations remain robust when a firm falls into deficit. We also find that firms with higher union coverage have a higher interest coverage ratio. In addition, we find that firms with higher union coverage are less likely to choose issuing debt compared to issuing equity when they face financial distress. Our results imply that significant employee influence enhanced by labour unions increases fixed costs, crowds out the firm’s debt capacity and consequently reduces the firm’s leverage.     

Optimal pair-trading strategy over long/short/square positions—empirical study

Suzuki [Automatica, 2016, 67, 33–45] solves the optimal, finitely iterative, three-regime switching problem for investing in a mean-reverting asset that follows an Ornstein–Uhlenbeck price process and find explicit solutions. The remarkable feature of this model is that the investor can explicitly take either a long, short or square position and can switch the position, with transaction costs, during the investment period. We run empirical simulations of such multiple-regime switching models. There are very few such attempts in the existing literature because it is difficult to find, first, an explicit solution to the problem and second, appropriate financial assets that follow the artificial stochastic process required by the mathematical model. According to the Monte Carlo simulations of the optimal pair-trading strategy, the mean daily Sharp ratio is more than 2.3, whereas the mean Sharp ratio for the historical simulation of the ‘stub’ pairs (combinations of parent/subsidiary companies) is 0.6886. We believe that the results obtained from performing the empirical simulations are remarkable and consider that the optimal switching strategy of the rigorous mathematical model is applicable to businesses in the real world. For the reference many pseudo-program codes are added, which can help to replicate the optimal trading strategies.     

Does oligopsony power matter in price support policy design? Empirical evidence from the Thai Jasmine rice market

In the oligopsony market, farmers may receive low prices and policy analysis assuming perfect competition can yield serious bias results. In this paper, we estimate oligopsony power between processors and farmers and evaluate the welfare impact of the paddy pledging program (PPP), a generous price support program in the Thai Jasmine rice market, with an imperfect competition model. We develop a model that consists of rice supply equation and derived demand equation. We then simultaneously estimate these equations using system estimation methods to recover oligopsony power parameters. Finally, we use these parameters to assess the welfare impact of the price support program. Using annual panel data running from crop marketing year 2001/2002–2015/2016 and exploiting the institutional feature of the PPP, we find strong evidence of some oligopsony power, a moderate level of oligopsony price distortion, and a negative relationship between price support and oligopsony power. We also find that the PPP is inefficient but effective in income redistribution. Moreover, the program benefits both farmers and consumers. With better policymaking decisions, the PPP can be efficient by setting a suitable support price. Therefore, our results show that in the case of the Thai Jasmine rice market, the generally accepted “wisdom” about agricultural price support policy does not necessarily hold, and price support can be designed to improve the efficiency of the market.     

Defect Detection Using Unanimous Vote Among Mahalanobis Classifiers for Each Color Component

In manufacturing industries, product inspection is automated and the use of image data is increasingly being employed for defect detection. A manufacturing company in Japan produces an item and inspects the produced products using image data. Reducing the error rate is important in product inspection because poor inspection of products might lead to the delivery of defective products to consumers (consumer’s risk) and strict inspection increases production cost (producer’s risk). To reduce the error rate, we highlighted fault points using a two-dimensional moving range filter and discriminated defect production through a unanimous vote among Mahalanobis classifiers for each color component. For results, we achieved a lower error rate than the current system. This research is an empirical study of how to use image data in defect detection.     

The Dynamics of Poverty and the Promotion of Transition from Non‐Regular to Regular Employment in Japan: Economic Effects of Minimum Wage Revision and Job Training Support

Comparison between Japan and other advanced countries shows that the relative poverty rate is high in Japan, and that many of the poor households are those with a non‐regular worker. As for mobility between income classes, the proportion of households remaining in the poor class for a long period of time in Japan is close to the average for EU countries. The panel estimation of its effect on wages shows that the raising of the minimum wage is statistically significantly associated with an increase in wages of non‐regular workers, in particular, female, but does not seem to decrease employment. The result shows that for male non‐regular workers, firm‐provided training promotes their transition to regular employment, and that for female non‐regular workers, occupational training promotes their transition to regular employment at different firms.     

Disaster‐Relief Logistics With Limited Fuel Supply

Disaster‐relief logistics consists of providing adequate emergency supplies rapidly to the affected people so as to minimize human suffering and death. This study empirically examines the impact that the shortage of fuel, a commonly encountered problem in many disaster situations, can have on the effectiveness of disaster‐relief logistics operations. We focus on investigating the following two issues: (1) whether the shortage of fuel is more damaging in attaining logistical goals than the equivalent‐sized shortage in emergency supplies themselves, and (2) what types of vehicles should be used when the fuel supply is limited. Results suggest that the shortage of fuel may be more damaging than the shortage of emergency supplies, and that smaller trucks may be preferred to larger trucks when the shortage of fuel becomes severe.     

Intra‐firm differentiation of compensation systems: evidence from US high‐technology firms

While scholars have long recognised the influence of firm decisions on aspects of compensation (e.g. pay level and pay mix), prior compensation studies offer an ambiguous understanding regarding their scope. Some studies argue that firms customise compensation decisions according to employee groups, whereas others assume that firm compensation decisions apply uniformly throughout a firm. To address this research gap, the current study analyses pay levels and pay mixes for R&D employees and administrative employees in US high‐technology firms. Our empirical analyses show that firms make distinct compensation decisions for these two job families, but these decisions are ultimately consistent. These findings highlight firms' intention to strike a balance between customising compensation systems according to employee groups and maintaining internal consistency. Our findings add interesting insights to the strategic HRM and talent management literatures, which claim that firms should differentiate among employees when designing HRM systems.