Capability building through innovation for unserved lower end mega markets

Although product innovation for unserved lower end mega markets in large developing countries has been recognized as an opportunity for improving the competitiveness of local firms, limited research has been conducted that explicitly explores how innovation capabilities can be built for these markets. This study investigates Tata Motors' Nano as an exploratory case of building innovation capabilities. This paper shows that the building of innovation capability could be achieved through creating a process that overcomes ‘the deficiency problem’ in generating radically cheap priced original products.The study's contribution to the literature is that it addresses issues of building local firms' innovation capabilities through creating original products for the unserved lower end market, in which advanced country firms have limited experience.Nano, as an unprecedented innovation in the automobile industry, reveals a path to building innovation capability that has not previously been observed. We show that detailed processes involved in generating an original product for the lower end market provide insights on the strategy in terms of target price setting, initiating innovation process overcoming ‘the deficiency problem’, and creation of complementary resources.     

Failure Discrimination and Rating of Enterprises by Semi-Definite Programming

We propose a new method forfailure discrimination and rating of enterprises using financialdata compiled from their balance sheets. No particular distributional assumption is made on the underlying data. Our method automatically discriminates and rates many enterprises using mathematical programming methods. We separate multi-dimensional data byhyperplane and hyper-ellipsoid, so that we can interpretthe results of classification from the geometric point of view. Theproblem to be solved here is a linear programming problem orsemi-definite programming problem which can be solved efficiently byinterior point algorithms. Numerical simulations usingreal data show that hyper-ellipsoid separation generates a result which can be used for practical purposes.     

Cyclical dynamics in a Kaleckian model with demand and distribution regimes and endogenous natural output

We analyse the interaction of demand and income distribution in a dynamic Kaleckian model with endogenous natural output. Endogenous changes of the natural output level to changes in the demand-determined actual output level have featured prominently in discussions of hysteresis after the crisis of 2008. We consider wage-led and profit-led demand (PLD) regimes and goods market-led and labour market-led income distribution regimes. The stability of the steady state is related to the endogeneity of natural output level in certain regimes. Limit cycles arise when the strong flexibility of prices or wages to the output gap is combined with moderate natural output hysteresis. A Kaleckian model with a wage-led demand regime and anticyclical profit share is less unstable and pseudo-Goodwin cycles can arise in the PLD regime with a procyclical profit share.     

Price Effects of Target Ratcheting: A Progress Report on Medical Devices

Regulators, who have asymmetric information concerning the technology of regulated firms, often rely on incentive‐based regulation. While such a scheme is well known to be vulnerable to the adverse incentives of regulated firms, empirical research that quantifies the magnitude of distortion caused by incentive regulation is scarce. This paper is a progress report of our recent project on target ratcheting with an application to medical devices in Japan. A casual observation of detailed product‐level transaction data and reduced‐form analyses indicate the existence of pricing distortion in the wholesale market. The paper also proposes a two‐period bilateral bargaining model to match the data. A preliminary analysis finds evidence consistent with the hypothesis that target ratcheting distorts the pricing of regulated firms, but the magnitude of the distortion is estimated to be economically small.     

Hepatocellular carcinoma: Prospective assessments of the T-factor with CT,US, and MR imaging

The capabilities of computed tomography (CT), ultrasonography (US), and magnetic resonance (MR) imaging were studied in order to determine the role of each of these noninvasive examinations for estimating the T-factor of hepatocellular carcinomas (HCCs). Fifty-one patients with surgically proven HCCs received CT (50 patients), US (46 patients), and MR (44 patients). The images of CT, US, and MR were prospectively evaluated for main tumor size, intrahepatic metastases, and vascular invasion, which compose the T-factor of HCC, and compared to pathological results. The sizes of the main tumor were estimated correctly by all examinations. For estimating intrahepatic metastases, US (74%) and MR (73%) were superior to CT (65%). For estimating portal invasion, CT (79%) was superior to US (70%) and MR (66%), because CT could demonstrate the segmental staining caused by portal invasion. The estimates of hepatic venous invasion were difficult during any of the examinations. We conclude that presurgical evaluations of the T-factor require the use of US and CT or MR and CT.     

Trading and Ordering Patterns of Market Participants in High Frequency Trading Environment: Empirical Study in the Japanese Stock Market

In this study, we investigate ordering patterns of different types of market participants in Tokyo Stock Exchange (TSE) by examining order records of the listed stocks. Firstly, we categorize the virtual servers in the trading system of TSE, each of which is linked to a single trading participant, by the ratio of cancellation and execution in the order placement as well as the number of executions at the opening of the afternoon session. Then, we analyze ordering patterns of the servers in the categories in short intervals for the top 10 highest trading volume stocks. By classifying the intervals into four cases by returns, we observe how different types of market participants submit or execute orders in the market situations. Moreover, we investigate the shares of the executed volumes for the different types of servers in the swings and roundabouts of the Nikkei 225 index, which were observed in September in 2015. The main findings of this study are as follows: Server type A, which supposedly includes non-market making proprietary traders with high-speed algorithmic strategies, executes and places orders along with the direction of the market. The shares of the execution and order volumes along with the market direction increase when the stock price moves sharply. Server type B, which presumably includes servers employing a market making strategy with high cancellation and low execution ratio, shifts its market making price ranges in the rapid price movements. We observe that passive servers in Server type B have a large share and buy at low levels in the price falls. Also, Server type B, as well as Server type A, makes profit in the price falling days and particularly, the aggressive servers in the server type make most of the profit. Server type C, which is assumed to include servers receiving orders from small investors, constantly has a large share of execution and order volume.     

Consensus building in safety and security: a case study of Fukushima evacuees returning home

This study examines consensus building in environmental and energy policies by analyzing the minutes of the safety and security committee of the Nuclear Regulation Authority (NRA) of the Japanese government, in the context of the discussion of the safe return of Fukushima evacuees after the 2011 Great East Japan Earthquake and Tsunami and the subsequent Fukushima nuclear disaster. One important issue associated with evacuation policies was the high number of evacuees, if not all, who were not willing to return to their old homes. Although the contents of governmental committee meetings are freely accessible through the internet, they have been rarely analyzed for these purposes. In this study, we used text-mining techniques to analyze NRA committee minutes quantitatively and qualitatively. We have three primary findings. First, the committee attempted to take evacuees’ feelings into account and pragmatically discuss what was needed to restore their lives and livelihoods, as well as to make its meetings transparent and open to the public by, for example, streaming them live on the internet. Second, in earlier committee meetings, government representatives insisted on specific policies made by themselves to control the return of evacuees. However, outside experts at the meetings convinced representatives that decisions regarding issues surrounding the safe return of evacuees should consider the opinions of the evacuees themselves. Third, the NRA reported the outcome of the meetings at a Cabinet meeting to accelerate policies requiring urgent implementation as well as those related to the alleviation of people’s anxieties regarding exposure to radioactivity or those related to equal treatment among those who wanted to voluntarily move away from the affected areas versus those who want to return to their homes. Finally, this analysis further identified a number of issues concerning citizen participation and governance associated with environment and energy policies, all of which need to be overcome in order to establish consensus among concerned stakeholders.     

Increasing marginal costs and satiation in the private provision of public goods: group size and optimality revisited

It is widely recognized that the degree of inefficiency in the voluntary provision of a public good increases with the group size of an economy. However, we find that only a slight modification in the conventional assumptions gives rise to a profound difference in outcome. In particular, we show that there is a case where the Nash equilibrium provision and the efficient provision will converge as the size of an economy grows. To show this, we assume individuals face increasing marginal cost of voluntary provision and their preference function has a finite satiety point.      

SCIENTIFIC BREAKTHROUGHS AND NETWORKS IN THE CASE OF SEMICONDUCTOR LASER TECHNOLOGY IN THE US AND JAPAN, 1960s–2000s

United States organisations took a clear lead in semiconductor laser research until the mid‐1970s. After the 1980s, many important breakthroughs were developed by Japanese organisations. Exploring the journal Applied Physics Letters, this study examines how semiconductor laser technology developed in these two countries and how this change in the country‐level industrial leadership in the scientific research occurred. Examining the relationship among industrial organisations, research networks, and scientific breakthroughs, it discusses how these coevolved and how breakthroughs were channelled in different directions. R&D targets were channelled into small markets in the US, but were concentrated into the same markets in Japan.