Organizational versus Market Knowledge: From Concrete Embodiment to Abstract Representation

Synopsis In contrast to the neoclassical economic presumption in favor of markets, we argue that organizations, not markets should be taken as our default assumption. We do so on information processing grounds. We distinguish between Zen and market Knowledge. The first is embodied and hard to articulate and the second abstract-symbolic. In human evolution, the first type of knowledge came first, and, on any pragmatic definition of knowledge, it still incorporates most of what we mean by the term. We take codification and abstraction as the two data processing activities that lead to the articulation of knowledge into an abstract-symbolic form. We develop a conceptual framework, the Information-Space (I-Space) to show how far the articulation of knowledge leads to its being shared. Whereas an unlimited sharing of information and knowledge leads to market-oriented outcomes, a more limited sharing leads to organizational outcomes. A market-oriented economics has tended to look to physics for its models; the field of organization theory has tended to look to biology. A more organization-oriented economics would thus look more to biology for its models.     

Parallel sourcing and supplier performance in the Japanese automobile industry

Japanese auto makers are reported to enjoy high supplier performance through long-term relationships, specific investments, and sole sourcing. Quality management consultants in the U.S. have been strongly advocating adoption of these practices. But economic and management theorists would predict that the combination of a high level of relationship-specific investments and sole sourcing will lead to problems with supplier performance. In fact the Japanese auto makers use a hybrid form of organization we term parallel sourcing. We present a transaction costs model that shows how parallel sourcing provides incentives for supplier performance associated with multiple sourcing while preserving claimed benefits of sole sourcing.     

Environmental Valuation with Imperfect Information The Case of the Random Utility Model

This paper considers welfare analysis with therandom utility model (RUM) when perceptions ofenvironmental quality differ from objectivemeasures of environmental quality. Environmental quality is assumed to be anexperience good, so that while perceptions ofquality determine choices, ex postutility is determined by objective quality. Given this assumption, I derive a measure ofthe welfare impact of changes in environmentalquality, and I show how this new welfaremeasure differs from the traditional welfaremeasure developed by Hanemann (1982). This newwelfare measure provides an approach tomeasuring the value of information aboutenvironmental quality within the framework ofthe random utility model.     

Environmental protection versus economic growth

This paper presents and analyses the differences in the eco-models implemented worldwide （such as whether and how carbon taxes being ＂recycled＂）, or in their efficiency parameters （inconsistent parameter values that account for different results）. This is the assumption that a real tradeoff exists between the production of environmental goods. The present article empirically proves that something must be given up in order to gain something else, and once equations are specified to trace out the path of the economy over time, the natural economic formulation of such equations will embody the notion of economic and bio-tradeoffs.     

Statistical Decision Problems and Bayesian Nonparametric Methods

This paper considers parametric statistical decision problems conducted within a Bayesian nonparametric context. Our work was motivated by the realisation that typical parametric model selection procedures are essentially incoherent. We argue that one solution to this problem is to use a flexible enough model in the first place, a model that will not be checked no matter what data arrive. Ideally, one would use a nonparametric model to describe all the uncertainty about the density function generating the data. However, parametric models are the preferred choice for many statisticians, despite the incoherence involved in model checking, incoherence that is quite often ignored for pragmatic reasons. In this paper we show how coherent parametric inference can be carried out via decision theory and Bayesian nonparametrics. None of the ingredients discussed here are new, but our main point only becomes evident when one sees all priors—even parametric ones—as measures on sets of densities as opposed to measures on finite-dimensional parameter spaces.     

关于收益法的经济价值论及其基础之研究

收益法是资产评估中最基本的一种方法,本文对资本价值理论及其价值论基础--效用论、边际效用论以及理论应 用(收益法)进行全面系统的研究。     

THEORIES OF CHOICE UNDER IGNORANCE AND UNCERTAINTY

Abstract. In this paper, Knight's distinction between risk and uncertainty, and its significance for economic analysis are examined. The paper consists of a survey of some recent developments on the theory of choice under uncertainty and some applications of these theories to problems for which Bayesian Decision Theory has not proved entirely satisfactory. Two problems are examined in detail. The first is that of finance and insurance and the second is that of risktaking behaviour with special emphasis on lotteries.     

经济伦理与经济发展

经济发展不仅是一个要素投入与资源配置的过程 ,同时也蕴含着深刻的伦理规定 ,是一个价值选择和道德协调的过程。经济伦理对经济发展起着重要的影响作用 :在微观层面上 ,它是一种人力资本 ;在中观层面上 ,它是一种无形资产 ;在宏观层面上 ,它是一种社会资本。经济伦理通过降低交易成本 ,创造合作效益 ,促进资源的优化配置和社会经济的健康发展。同时 ,经济伦理作为一种特殊的经济资源 ,对经济发展的作用性质和方式具有特殊性 ,需要具体地去认识和把握。     

4P、4C与4R:交易费用经济学的视角

4P是经典营销理论的核心内容之一。随着经济、文化和技术的全球化与区域化不断发展,市场竞争异常激烈,顾客在大部分领域取得了绝对的选择权,营销理论随之出现了4C和4R等“崭新”内容。从交易费用经济学的角度看,4C和4R不是对4P的替代,而是一种重要补充和发展。