Are ASEAN Countries Havens for Japanese Pollution‐Intensive Industry?

In an era of closer worldwide economic integration, the role that environmental regulations play in shaping a country's comparative advantage is greater than ever. This has led to fears that ‘dirty’ firms will relocate from developed to developing countries where environmental regulations may be less stringent – the so‐called pollution haven hypothesis. To date, however, there is little support for the existence of pollution havens despite anecdotal evidence and the theoretical predictions. In this paper we employ a unique industry‐level dataset for Japan and examine whether Japanese industries have relocated production to their ASEAN neighbours in response to the relative stringency of Japanese environmental regulations. Not only do we find no evidence for pollution‐haven‐consistent behaviour but also some indication that the complex relationship between the characteristics of Japanese dirty industries and environmental regulations may actually have reduced Japanese outward FDI to the Philippines.     

Parallel Consultant-Guided Search with Crossover

Consultant-guided search (CGS) is a recent metaheuristic method. This approach is an algorithm in which a virtual person called a client creates a solution based on consultation with a virtual person called a consultant. In this study, we propose a parallel CGS algorithm with a genetic algorithm’s crossover and selection, and calculate an approximation solution for the traveling salesman problem. We execute a computer experiment using the benchmark problems (TSPLIB). Our algorithm provides a solution with less than 3.3% error rate for problem instances using less than 6000 cities.     

The Performance of Development Banks: The Case of the Reconstruction Finance Bank

This paper analyzes the performance of the Reconstruction Finance Bank (RFB) in order to shed light on the role of development banks in fostering economic growth. The RFB played a large role in Japan′s transition from war-time command economy to a market economy in the early post-war period. We use individual firm level data on sales, profits, and loans from the RFB, and find that, initially, the RFB was making loans to firms with below-average performance. We then find that this was partly a result of political interventions into the loan policy of the RFB. In fact, we also find evidence of improvements in the performance of the RFB after its loan policy became more independent. Implications for developing economies are also discussed. J. Japan. Int. Econ., Dec. 1995, 9(4), pp. 486-504. Faculty of Economics, The University of Tokyo, Bunkyo-ku, Tokyo 13, Japan.     

Endogenous timing in the switching of technology with Marshallian externalities

We analyze endogenous timing in the switching of technology. Each user chooses when to purchase a new product which embodies new technologies characterized by Marshallian externalities. The technological switch occurs when a large number of users purchase new products. Under complete information, multiple market equilibria exist, and one of the equilibria in which technological switching occurs is efficient. However, if we introduce even a small amount of uncertainty, the switch is delayed in the unique equilibrium under perfect competition, resulting in a loss of social welfare. The market power of a monopolistic supplier of new products alleviates this inefficiency.     

The quality effect: Does financial liberalization improve the allocation of capital?

We document evidence of a “quality effect” of financial liberalization on allocative efficiency, as measured by dispersion in Tobin's Q across firms. We predict that financial liberalization, by equalizing access to credit, is associated with reduced variation in expected marginal returns. We test this prediction using a new financial liberalization index and firm-level data for five emerging markets: India, Jordan, Korea, Malaysia, and Thailand. We find robust evidence that financial liberalization, rather than financial deepening, is associated with improved allocative efficiency.     

The regulations for indoor air pollution in Japan: a public health perspective

In recent years public health problems caused by indoor air pollution, known as ‘Sick Building Syndrome in housing’, or ‘Sick House Syndrome’ in Japan, have been drawing strong public concern. After conducting extensive exposure assessment, government authorities have taken effective measures to solve the problem. However, as a result of diversification and increase in quantities of industrial chemicals, existing regulations do not cover enough ranges of various potential hazardous chemicals. Hence, the regulations seek to be changed from hazard‐based regulation to a risk‐based one. Good indoor air quality (IAQ), which does not pose unacceptable health risks from all pollutants affecting indoor air, should be ensured for all public people. The objective of this study is to clarify the remaining issues to be solved urgently, related to the regulations to ensure a good IAQ. We reviewed enormous numbers of the existing governmental and industrial voluntary standards and/or guidelines, literature and documents concerning IAQ research in the past 40 years. Our results showed six subjects from those remaining issues. Based on these subjects we created a new scheme to control the IAQ; we especially regarded a comprehensive labeling system as one of the important strategies.     

An Analytical Evaluation Method of the Operational Risk Using Fast Wavelet Expansion Techniques

A financial institution that adopts an advanced measurement approach (AMA) as a method of computing operational risk capital has to measure 99.9 % value-at-risk (VaR) as the amount of an operational risk. The most popular method to satisfy the AMA standards requires the evaluation of aggregate (compound) loss distribution, which is called the loss distribution approach (LDA). The Monte Carlo (MC) method is a well known method for calculating VaR under the LDA. However, when using the MC method to calculate VaR, the statistical error of VaR for the fat-tailed distribution increases and the computation time increases in proportion to the expected value of frequency distribution. Since the MC method has these problems, this paper presents a new methodology to compute VaR under the LDA using fast wavelet expansion techniques. The key features of our algorithm are follows: (1) Scale transformation technique for loss distributions, (2) Double exponential transformation for oscillatory integrals, (3) Finite series expansion of the wavelet scaling coefficients, (4) Wynn’s epsilon algorithm to accelerate the convergence of those series, (5) Efficient cubic spline interpolation method to calculate the moment generating function. We illustrate the effectiveness of our algorithms through numerical examples.     

Why do only the G7+2 countries among United Nations members discuss about international public goods? A simulation study

This article investigates why only the Group of 7 plus China and Russia (G7 + 2 countries) among 194 United Nations members discuss about international public goods? By simulating the heterogeneity of income, prices and preference parameters on the total provisions and the number of free riders, we find that the number of contributors for international public goods is 15 under the 194 member countries, while the others are free riders. In addition, the contributors are the top 15 powerful countries with largest dropout value over the world. Then, the discussion with only 15 countries for public goods is meaningful. As large as the heterogeneity of parameters is, the number of contributors becomes closer to G7 + 2.