Productivity, efficiency, scale economies and technical change: A new decomposition analysis of TFP applied to the Japanese prefectures

This paper aims to examine the productivity change of the Japanese economy using the data pertaining to the 47 prefectures during the period 1981–2000. The decomposition analysis of the Hicks–Moorsteen–Bjurek productivity index is conducted to explore the sources of the productivity change. In summary, technical change and efficiency change are two of the most important components driving procyclical productivity. We find that relative their importance varies over periods. Supply shocks captured by technical change component caused upturns in productivity in the mid and late 1980s and in 1999 and 2000. Supply shocks also caused downturns in the early and mid 1990s. On the other hand, demand shocks captured by efficiency change component drove upturns of productivity in 1984, 1990 and 1996, when supply shocks were not detected. J. Japanese Int. Economies 19 (4) (2005) 617–634.     

Cournot duopoly and environmental R&D under regulator’s precommitment to an emissions tax

This study examines the environmental R&D (E-R&D) of Cournot duopolists with end-of-pipe technology under a regulator’s precommitment to an emissions tax. Under technological spillover effect, the government invariably prefers E-R&D cartelization to E-R&D competition. Highly contrary to earlier studies, consumer surplus is not necessarily maximized by environmental research joint venture cartelization, although this offers private and social incentives.     

THE OPTIMAL MINIMUM WAGE FOR POVERTY MINIMIZATION

This paper characterizes the poverty minimizing minimum wage, and shows how it varies as productivity, inequality and market competitiveness change. We show that the optimal minimum wage is equal to the competitive wage only in special cases. In general, the former is higher than the latter. Thus, poverty minimization does not coincide with employment maximization. We also show that the optimal minimum wage always rises with productivity and, under certain conditions, falls with competitiveness and inequality. Furthermore, the higher the competitiveness and inequality, the more the optimal wage rises with productivity.     

Technology policy in Japan: A short review

This paper examines technology policy in Japan. Following a brief introduction, we review trends in Japanese technology policy: in the 1950's and through to the mid-1960's, the main policy concern was to facilitate the importation of technology. However, in the mid-1960's, the emphasis had shifted to promote domestic R & D, and various policy measures like tax breaks, subsidies and research contracts were employed to encourage R & D in private firms. In the 1970's, public policy became more selective, and R & D on pollution control, energy, space and ocean resources was encouraged. Currently, the policy discussion is centered around the problem of how to enhance Japan's technology base in basic technologies in order to promote a shift to high-technology production. The third section examines the various policy measures in detail; preferential tax treatment, subsidies, research contracts, low interest loans, public research institutions, public corporations, and research associations. It is argued that Japanese technology policy worked alongside market forces rather than replacing them with the political process. This approach was successful in the sense that it contributed to the promotion of technological progress and a high rate of economic growth. However, as the promotion of basic research becomes more important, a new approach must be devised. The brief concluding comments discuss current and future problems to be addressed by technology policy in Japan.     

Business groups in a market economy

The purpose of this paper is to examine the nature and significance of the interfirm relationship called the business group. First, the nature of the Japanese business group is discussed. It is then pointed out that the business group is not a phenomenon unique to Japan, and an effort is made to explain the significance of the business group in the context of a market economy, using the Williamsonian approach to questions of internal organization and the market. Finally, the relationship between the input-output relationship of the firms and their group affiliation is tested.     

Cost-effectiveness of rivaroxaban versus warfarin for stroke prevention in non-valvular atrial fibrillation in the Japanese healthcare setting

Abstract

Aims: This article aimed to examine the cost-effectiveness of rivaroxaban in comparison to warfarin for stroke prevention in Japanese patients with non-valvular atrial fibrillation (NVAF), from a public healthcare payer’s perspective.

Materials and methods: Baseline event risks were obtained from the J-ROCKET AF trial and the treatment effect data were taken from a network meta-analysis. The other model inputs were extracted from the literature and official Japanese sources. The outcomes included the number of ischaemic strokes, myocardial infarctions, systemic embolisms and bleedings avoided, life-years, quality-adjusted life-years (QALYs), incremental costs and incremental cost-effectiveness ratio (ICER). The scenario analysis considered treatment effect data from the same network meta-analysis.

Results: In comparison with warfarin, rivaroxaban was estimated to avoid 0.284 ischaemic strokes per patient, to increase the number of QALYs by 0.535 per patient and to decrease the total costs by ¥118,892 (€1,011.11) per patient (1 JPY = 0.00850638 EUR; XE.com, 7 October 2019). Consequently, rivaroxaban treatment was found to be dominant compared to warfarin. In the scenario analysis, the ICER of rivaroxaban versus warfarin was ¥2,873,499 (€24,446.42) per QALY.

Limitations: The various sources of data used resulted in the heterogeneity of the cost-effectiveness analysis results. Although, rivaroxaban was cost-effective in the majority of cases.

Conclusion: Rivaroxaban is cost-effective against warfarin for stroke prevention in Japanese patients with NVAF, giving the payer WTP of 5,000,000 JPY.     

The Bounds of Classical Risk Management and the Importance of a Behavioral Approach

Decisions under uncertainty can be influenced by individual subjective risk perceptions and biases. Subjective biases interfere with the ability or willingness of a decision-maker to evaluate even objective probabilities, and can be even more detrimental when dealing with uncertain events. The effects of subjective bias are termed judgmental risk. Successful risk management must confront judgmental risk. There is no agreement on best practices to do this. This article suggests ways of controlling employee-subjective biases and judgmental risk. Because the biases and risk are aspects of behavior, the approach is called "behavioral risk management."     

Hepatocellular carcinoma with tumor thrombus in the inferior vena cava and right atrium

Tumor thrombus (TT) in the inferior vena cava (IVC) and right atrium (RA) is rarely encountered. We have diagnosed before death and treated a case of hepatocellular carcinoma (HCC) with TT in the IVC and RA, accompanied by a brain metastasis. The image characteristics on computed tomography (CT), magnetic resonance imaging (MRI), and conventional angiography are discussed.     

Multi-valued Document Classification Based on Generalized Bradley-Terry Classifiers Utilizing Accuracy Information

Due to the development of computer network, a large amount of documents are treated in many fields. The number of digital document data stored in databases is enormous, accordingly it is difficult for analysts to read all documents and classify it by hand. Therefore, it is necessary to develop the technology of automatic document classification by using computers these days. From the above needs, many classifiers with good performance have been proposed, i.e., Relevance Vector Machine （RVM） and Support Vector Machine （SVM） that are known as good binary classifiers. For multi-valued document classification problems, it is known that a multi-valued classifier by combining several binary classifiers has a good performance. In this study, the method to construct an efficient combination of binary classifiers based on improving Generalized Bradley-Terry （GBT） model, which has high extensibility, is focused. This model is an expansion of Bradley-Terry （BT） model. Though the BT model has a limitation on combination of classes, the GBT model enables us to utilize any binary classifier which classifies into two arbitrary subsets in the class set. Generally, when several binary classifiers learn from the training dataset, there would be the difference of accuracy between these binary classifiers, due to the existence of categories that cannot be easily classified. However, the conventional method of multi-valued classification by GBT binary classifiers does not take the accuracy of each classifier into consideration. To avoid this problem, a new way of multi-valued classification method by considering each classifier＇s accuracy is proposed. The purpose of this study is to construct a good multi-valued classifier by calculating the accuracy of each classifier and utilizing it as the weight. In order to verify the effectiveness of the proposed method, the simulation experiment by using newspaper articles is conducted.