Regulatory reform and market opening in Japan

This paper examines the nature of Japanese regulation, its effect on international trade, and the reasons for the slow progress of deregulation. It argues that theinformal and discretionary power of the Japanese bureaucracy, combined with acontinued protectionist, pro-producer, and pro-insider bias to the manipulation of the regulatory system, continues to maintain high prices and discourage imports into Japanese markets. The paper also argues that Japans weak anti-trust enforcementallows cartels to play an important role in regulating Japanese markets, particularly inindustries such as steel and chemicals. While liberal initiatives have introduced some important regulatory reforms, they have not fundamentally transformed the Japanese regulatory system because neither business nor the bureaucracy genuinely wantdrastic reform or free-wheeling markets. Liberal reformist measures in Japan are animportant corrective and supplement to mercantilist policy, but are not likely tofundamentally transform Japans political-economic system -- In dieser Studie werden Konzept und Realisierung der japanischen Regulationspraxis analysiert sowie ihre Auswirkungen auf den internationalen Handel und die Ursachen für den langsamen Fortschritt bei der Deregulation. Dabeiwird die Meinung vertreten, daß als Folge der informellen Macht der japanischenBürokratie mit ihrem großen Ermessensspielraum, kombiniert mit der fortdauernden protektionistischen, Unternehmer- und Insiderfreundlichen Grundeinstellung zur Beeinflussung des regulatorischen Systems, sowohl hohe Preise als auch die Abschottung der japanischen Märkte vor Importen aufrechterhalten werden.Außerdem ist zu berücksichtigen, daß die nur schwach entwickelte japanische Anti-Trust-Politik den Kartellen die Möglichkeit gibt, eine einflußreiche Rolle bei derRegulierung der Märkte zu spielen, vor allem in der Stahl- und Chemiebranche. Auchwenn einige Liberalisierungsinitiativen durchaus erkennbare regulatorische Reformen gebracht haben, so haben sie doch nicht das japanische regulatorische System in seiner prinzipiellen Wirkungsweise verändert. Weder die Unternehmen noch die Bürokratie wollen eine wirklich durchgreifende Reform oder freie Märkte. Liberale Reformmaßnahmen in Japan sind wichtig als Korrektiv und Ergänzung der merkantilistischen Politik, aber es ist unwahrscheinlich, daß sie Japans politikökonomisches System verändern.

Archean crust-mantle geochemical differentiation

Isotope measurements on carbonatite complexes and komatiites can provide information on the geochemical character and geochemical evolution of the mantle, including the sub-continental mantle. Measurements on young samples establish the validity of the method. These are based on Sr, Nd and Pb data from the Tertiary-Mesozoic Gorgona komatiite and Sr and Pb data from the Cretaceous Oka carbonatite complex. In both cases the data describe a LIL element-depleted source similar to that observed presently in MORB. Carbonatite data have been used to study the mantle beneath the Superior Province of the Canadian Shield one billion years (1 AE) ago. The framework for this investigation was established by Bell et al., who showed that large areas of the province appear to be underlain by LIL element-depleted mantle (Sr-85/Sr-86=0.7028) at 1 AE ago. Additionally Bell et al. found four complexes to have higher initial Sr ratios (Sr-87/Sr-86=0.7038), which they correlated with less depleted (bulk earth?) mantle sources, or possibly crustal contamination. Pb isotope relationships in four of the complexes have been studied by Bell et al

Contextual classification of multispectral image data: Approximate algorithm

An approximation to a classification algorithm incorporating spatial context information in a general, statistical manner is presented which is computationally less intensive. Classifications that are nearly as accurate are produced

Contextual classification on the massively parallel processor

Classifiers are often used to produce land cover maps from multispectral Earth observation imagery. Conventionally, these classifiers have been designed to exploit the spectral information contained in the imagery. Very few classifiers exploit the spatial information content of the imagery, and the few that do rarely exploit spatial information content in conjunction with spectral and/or temporal information. A contextual classifier that exploits spatial and spectral information in combination through a general statistical approach was studied. Early test results obtained from an implementation of the classifier on a VAX-11/780 minicomputer were encouraging, but they are of limited meaning because they were produced from small data sets. An implementation of the contextual classifier is presented on the Massively Parallel Processor (MPP) at Goddard that for the first time makes feasible the testing of the classifier on large data sets

Image segmentation by iterative parallel region growing with application to data compression and image analysis

Image segmentation can be a key step in data compression and image analysis. However, the segmentation results produced by most previous approaches to region growing are suspect because they depend on the order in which portions of the image are processed. An iterative parallel segmentation algorithm avoids this problem by performing globally best merges first. Such a segmentation approach, and two implementations of the approach on NASA's Massively Parallel Processor (MPP) are described. Application of the segmentation approach to data compression and image analysis is then described, and results of such application are given for a LANDSAT Thematic Mapper image

Data compression experiments with LANDSAT thematic mapper and Nimbus-7 coastal zone color scanner data

A case study is presented where an image segmentation based compression technique is applied to LANDSAT Thematic Mapper (TM) and Nimbus-7 Coastal Zone Color Scanner (CZCS) data. The compression technique, called Spatially Constrained Clustering (SCC), can be regarded as an adaptive vector quantization approach. The SCC can be applied to either single or multiple spectral bands of image data. The segmented image resulting from SCC is encoded in small rectangular blocks, with the codebook varying from block to block. Lossless compression potential (LDP) of sample TM and CZCS images are evaluated. For the TM test image, the LCP is 2.79. For the CZCS test image the LCP is 1.89, even though when only a cloud-free section of the image is considered the LCP increases to 3.48. Examples of compressed images are shown at several compression ratios ranging from 4 to 15. In the case of TM data, the compressed data are classified using the Bayes' classifier. The results show an improvement in the similarity between the classification results and ground truth when compressed data are used, thus showing that compression is, in fact, a useful first step in the analysis

Marine resources and ocean surveys

Application of ERTS-1 remotely sensed multispectral imagery to marine resources and oceanic observations and surveys - Conferenc