研究・論文

ジャポックスコーポレーションが公開している研究・論文の一覧です。論文は英語で書かれたものが原本（オリジナル）です。

The Innovation Theory of Information, Value and Mobility

From Lemons and Auctions to Computable Value Circulation in Vehicles, Autonomous Mobility and Robotaxis

邦題：情報・価値および移動の革新理論：レモン市場とオークションから、車両・自動運転・ロボットタクシーにおける計算可能な価値循環へ

Abstract

Markets for used vehicles have served as the canonical illustration of adverse selection for more than half a century, yet the degree of informational asymmetry surrounding an individual vehicle has not, to my knowledge, been made an observable and computable quantity. This paper introduces such a quantity, the information sufficiency index, defined as the variance-weighted share of value-relevant uncertainty that available information resolves, and shows that it organizes a wide range of market outcomes. As sufficiency rises, the credible range of value narrows; the probability of trade increases, with a loss-aversion discount that is proportional to residual uncertainty; and market demand shifts upward, raising both the clearing price and the volume of trade. Because information is valuable only if it arrives before a decision is made, the probability of trade is decreasing and convex in response time. Robotaxis, which record their own operation continuously, constitute the limiting case of complete information: the informational friction that impedes the transfer of rights falls to its minimum, and whether such vehicles, which create no driving employment, expand aggregate demand depends on whether an equity index, the share of ownership claims held broadly by households, exceeds an explicit threshold. Every quantity in the framework is computable from a vehicle’s identification information and records.

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引用のしかた

Hirayama, I. (2026). The Innovation Theory of Information, Value and Mobility: From Lemons and Auctions to Computable Value Circulation in Vehicles, Autonomous Mobility and Robotaxis. Working Paper, 11 November 2026. Japox Corporation Co., Ltd. Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7690002

本論文で述べている方法は、日本で特許出願中です。