848 resultados para [JEL:P20] Economic Systems - Socialist Systems and Transitional Economies - General
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Mode of access: Internet.
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Issued May 1979.
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"February 8, 9, 10, and 11, 1988"--Pt. 2.
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Economic philosophy is not often taught, and is not necessarily easily taught. It involves enquiry into implicit assumptions within orthodox economics and within alternatives to it. It seeks to highlight why it is that some critics object that neoclassical economics is too atomistic, hedonistic, and rationalistic, or why others lament that there is much hidden metaphysics in Friedman and his Chicago School colleagues. It addresses the issue of whether - in a reversal of the view that economics is the imperialistic social science - significant philosophical assumptions have been silently but inescapably imported into orthodox economics. This paper seeks to facilitate the presentation of such material with illustrations selected from social economics, development economics, and critiques of utilitarianism.
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The opening up of the Chinese economy and the associated transfer of technology from abroad have been taking place at an accelerating pace. Technology is crucial to China's industrial development. It is a productive resource and has a vital role in the process of economic and social development. This article provides an overview of technology transfer into China, focusing on recent developments, and examines the macroenvironmental and microenvironmental influences which foreign enterprises must consider when making investments or technology transfer decisions. Cases of companies engaged in international technology transfer are used to illustrate the discussion on the microenvironment. To be successful, foreign investors and suppliers of technology must respond to China's industrial priorities and pursue projects that are compatible with the country's broad policy goals as well as the corporate objectives of Chinese partners. The article concludes by listing a number of points to which attention should be paid before a decision is made to transfer technology to China.
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In this article we present an approach to object tracking handover in a network of smart cameras, based on self-interested autonomous agents, which exchange responsibility for tracking objects in a market mechanism, in order to maximise their own utility. A novel ant-colony inspired mechanism is used to learn the vision graph, that is, the camera neighbourhood relations, during runtime, which may then be used to optimise communication between cameras. The key benefits of our completely decentralised approach are on the one hand generating the vision graph online, enabling efficient deployment in unknown scenarios and camera network topologies, and on the other hand relying only on local information, increasing the robustness of the system. Since our market-based approach does not rely on a priori topology information, the need for any multicamera calibration can be avoided. We have evaluated our approach both in a simulation study and in network of real distributed smart cameras.