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Increasing returns to scale is an area in economics that has recently become the focus of much attention. While most firms operate under constant or decreasing return to scale on their relevant range of production, some firms produce goods or services with a technology which exhibits increasing returns to scale at levels of production which are large relative to the market. These goods are an important component of economic activity in a modern economy and are typically commodities produced either by a public sector or, as in the U.S., by regulated utilities. In this study, the author analyzes increasing returns using general equilibrium theory to take into account the interactions between production in the public and the private sector, and the effects of financing the public sector on the redistribution of income.
Recognizing increasing returns disrupts much of the established wisdom in economic analysis, making money non-neutral, equity conflict with freedom, and encouraging goods with increasing returns efficient. This book discusses these problems and ways they can be handled, helping to explain phenomena in the real world.
First published in 1998, this book introduces a new concept of profitability, called the 'efficiency rate of profit', which is defined as the ratio between the unit net margin and the unit capital requirement and shows how the efficiency rate of profit may be used in the assessment of mechanization and economies of scale. The book also shows how the efficiency rate of profit relates to the financial opportunity cost of investment, thus resolving the long-standing controversy over 'interest as a cost'. Using real-world plant-level data, the book explains fully the process of mechanization, how increasing returns to scale works at the plant level through power rule relating plant or equipment cost to capacity and how and why it is more cost effective to combine mechanization with expanding the scale of production in one combined 'package' of efficiency improvement.
Pioneering work on an important new approach to economics.
A crucial question in contemporary economics concerns where economic activities will locate and relocate themselves in the future. This comprehensive, innovative book applies an evolutionary framework to spatial economics, arguing against the prevailing neoclassical equilibrium model, providing important concrete and theoretical insights, and illuminating areas of future enquiry.
The Microeconomics of Complex Economies uses game theory, modeling approaches, formal techniques, and computer simulations to teach useful, accessible approaches to real modern economies. It covers topics of information and innovation, including national and regional systems of innovation; clustered and networked firms; and open-source/open-innovation production and use. Its final chapter on policy perspectives and decisions confirms the value of the toolset. Written so chapters can be used independently, the book includes an introduction to computer simulation and pedagogical supplements. Its formal, accessible treatment of complexity goes beyond the scopes of neoclassical and mainstream economics. The highly interdependent economy of the 21st century demands a reconsideration of economic theories. - Describes the usefulness of complex heterodox economics - Emphasizes divergences and convergences with neoclassical economic theories and perspectives - Fits easily into courses on intermediate microeconomics, industrial organization, and games through self-contained chapters
Industrial policy, once relegated to resource allocation, technological improvements, and the modernization of industries, should be treated as a serious component of sustainability and developmental economics. A rich set of complimentary institutions, shared behavioral norms, and public policies have sustained economic growth from Britain's industrial revolution onwards. This volume revisits the role of industrial policy in the success of these strategies and what it can offer developed and developing economies today. Featuring essays from experts invested in the expansion of industrial policies, topics discussed include the most effective use of industrial policies in learning economies, development finance, and promoting investment in regional and global contexts. Also included are in-depth case studies of Japan and India's experience with industrial policy in the banking and private sector. One essay revisits the theoretical and conceptual foundations of industrial policy from a structural economics perspective and another describes the models, packages, and transformation cycles that constitute a variety of approaches to implementation. The collection concludes with industrial strategies for facilitating quality growth, realizing more sustainable manufacturing development, and encouraging countries to industrialize around their natural resources.
From Simon & Schuster, Microcosm is the provocative national bestseller by the author of Wealth and Poverty. George Gilder's Microcosm is the crystal ball of the next technological era. Leading scientists, engineers, and entrepreneurs provide vivid accounts of the latest inventions, revealing how the new international balance of power really lies in information technology.
The primary objective of this book is to advance the state of the art in specifying and ?tting to data structural multi-sector dynamic macroeconomic models, and empirically implementing them. The fundamental construct upon which we build is the Ramsey model. A most attractive feature of this model is the insights it provides into the dynamics of an economy in tr- sition to long-run equilibrium. With some exceptions, Ramsey models are highly aggregated – typically single sector models. However, interest often lies in understanding the forces of e- nomic growth across multiple sectors of an economy and on how policy impacts likely play out over time. Such analyses call for moredisaggregatedmodelsthatcanbe?ttocountryorregional data.Thisbookshowshowto:(i)extendthebasicmodeltom- tiple sectors, (ii) how to adapt the basic model to account for policy instruments, and (iii) ?t the model to data, and obtain equilibrium values both forward and backward in time from the data points to which the model is initially ?t.