Policy makers--Republican and Democrat, liberal and conservative--call for federal intervention to fund emerging high-growth industries, believing they are starved for capital. Congressional hearings, newspapers, industry newsletters, and government reports all assert that capital gaps exist for these firms. But the widely held belief that emerging high-growth firms like those in high technology--so vital to the growth of the U.S. economy--face severe capital gaps, preventing them from starting up or growing to their full potential, is false. This book systematically brings together, for the first time, disparate sources of information from a wide variety of disciplines and synthesizes them into a compelling case against federal intervention. Scientific studies, conventional wisdom among entrepreneurs and investors, and economic reasoning all fail to support the existence of widespread capital gaps for start-up high-growth firms. Nor does this evidence show capital in short supply in some regions, in industrial sectors including high technology, or for women and minorities. Nor do existing federal programs providing capital to emerging high-growth businesses reveal capital gaps. Rather, they either unnecessarily duplicate private investment or represent poor investment decisions. This study shows that calls for increased federal intervention, using public monies to plug capital gaps, are unjustified.

Remarkably, a small fraction of firms account for most of the job and output creation in high-income and developing countries alike. Does this imply that the path to enabling more economic dynamism lies in selectively targeting high-potential firms? Or would pursuing broad-based reforms that minimize distortions be more effective? Inspired by these questions, this book presents new evidence on the incidence, characteristics, and drivers of high-growth firms based on in-depth studies of firm dynamics in Brazil, Côte d’Ivoire, Ethiopia, Hungary, India, Indonesia, Mexico, South Africa, Thailand, Tunisia, and Turkey. Its findings reveal that high-growth firms are not only powerful engines of job and output growth but also create positive spillovers for other businesses along the value chain. At the same time, the book debunks several myths about policies to support firm dynamism that focus on outward characteristics, such as firm size, sector, location, or past performance. Its findings show that most firms struggle to sustain rapid rates of expansion and that the relationship between high growth and productivity is often weak. Consequently, the book calls for a shift toward policies that improve the quality of firm growth by supporting innovation, managerial skills, and firms’ ability to leverage global linkages and agglomeration. To help policy makers structure policies that support firm growth, the book proposes a new ABC framework of growth entrepreneurship: improving Allocative efficiency, encouraging Business-to-business spillovers, and strengthening firm Capabilities. This book is the third volume of the World Bank Productivity Project, which seeks to bring frontier thinking on the measurement and determinants of productivity to global policy makers. 'Policy makers often get carried away by the disproportionate contributions of high-growth firms to job and output growth and commit to pursuing policies targeting the potential ‘stars.’ This book separates fact from fiction underpinning such interventions through a comprehensive analysis of high-growth firms across a range of developing countries, making a compelling argument that public policy to pick prospective winners is neither possible nor desirable. Policy makers would be wise to consult its arguments and policy advice when designing the next generation of policies to support the growth of firms.' William R. Kerr Professor of Business Administration, Harvard University; author of The Gift of Global Talent: How Migration Shapes Business, Economy and Society 'How to ignite and sustain high firm growth has eluded both economic analysis and thought leaders in policy and business. Through its meticulous and thoughtful analysis, this important new book provides a tractable framework to guide policy to harness the growth and productivity potential of firms in the developing-country context.' David Audretsch Distinguished Professor and Director of the Institute for Development Strategies, Indiana University .

Remarkably, a small fraction of firms account for most of the job and output creation in high-income and developing countries alike. Does this imply that the path to enabling more economic dynamism lies in selectively targeting high-potential firms? Or would pursuing broad-based reforms that minimize distortions be more effective? Inspired by these questions, this book presents new evidence on the incidence, characteristics, and drivers of high-growth firms based on in-depth studies of firm dynamics in Brazil, Côte d'Ivoire, Ethiopia, Hungary, India, Indonesia, Mexico, South Africa, Thailand, Tunisia, and Turkey. Its findings reveal that high-growth firms are not only powerful engines of job and output growth but also create positive spillovers for other businesses along the value chain. At the same time, the book debunks several myths about policies to support firm dynamism that focus on outward characteristics, such as firm size, sector, location, or past performance. Its findings show that most firms struggle to sustain rapid rates of expansion and that the relationship between high growth and productivity is often weak. Consequently, the book calls for a shift toward policies that improve the quality of firm growth by supporting innovation, managerial skills, and firms' ability to leverage global linkages and agglomeration. To help policy makers structure policies that support firm growth, the book proposes a new ABC framework of growth entrepreneurship: improving Allocative efficiency, encouraging Business-to-business spillovers, and strengthening firm Capabilities. This book is the third volume of the World Bank Productivity Project, which seeks to bring frontier thinking on the measurement and determinants of productivity to global policy makers. 'Policy makers often get carried away by the disproportionate contributions of high-growth firms to job and output growth and commit to pursuing policies targeting the potential 'stars.' This book separates fact from fiction underpinning such interventions through a comprehensive analysis of high-growth firms across a range of developing countries, making a compelling argument that public policy to pick prospective winners is neither possible nor desirable. Policy makers would be wise to consult its arguments and policy advice when designing the next generation of policies to support the growth of firms.' William R. Kerr Professor of Business Administration, Harvard University; author of The Gift of Global Talent: How Migration Shapes Business, Economy and Society 'How to ignite and sustain high firm growth has eluded both economic analysis and thought leaders in policy and business. Through its meticulous and thoughtful analysis, this important new book provides a tractable framework to guide policy to harness the growth and productivity potential of firms in the developing-country context.' David Audretsch Distinguished Professor and Director of the Institute for Development Strategies, Indiana University .

Now in its third edition, Encyclopedia of Public Administration and Public Policy remains the definitive source for article-length presentations spanning the fields of public administration and public policy. It includes entries for: Budgeting Bureaucracy Conflict resolution Countries and regions Court administration Gender issues Health care Human resource management Law Local government Methods Organization Performance Policy areas Policy-making process Procurement State government Theories This revamped five-volume edition is a reconceptualization of the first edition by Jack Rabin. It incorporates over 225 new entries and over 100 revisions, including a range of contributions and updates from the renowned academic and practitioner leaders of today as well as the next generation of top scholars. The entries address topics in clear and coherent language and include references to additional sources for further study.

Experts in public economics and financial economics discuss the special role of venture capital and if public policy should promote the venture capital industry; empirical and theoretical perspectives are developed. The existing literature in both public economics and financial economics often fails to consider how appropriate and effective public policy may be in promoting the venture capital industry. Public economics has dealt extensively with the effect of taxes and subsidies but has neglected the unique role of venture capitalists as active investors who provide not only funding but added value. Financial economics has emphasized the special role of the venture capitalist but has not focused on the real effects of venture capital in industry equilibrium or the role of public policy. This volume in the CESifo Seminar series brings together experts in public and financial economics to develop a theoretically and empirically informed international policy perspective for an era in which policymakers increasingly look to venture capital as a source of jobs, innovation, and economic growth. The chapters in part I analyze data on the levels of venture capital fundraising in Europe, problems in the bank-oriented beginnings of German venture capital finance in the 1970s, and the inefficiency of Canadian labor-sponsored venture capital funds. Part II looks at the effect of venture capital on labor market performance, the importance of exit opportunities, and the effect of information inflows on the venture capital cycle. The chapters in part III take the perspective of public economics, reviewing the role of public policy in addressing potential market failures, improving the quality of venture capital investments, and affecting entrepreneurial business activity through tax policy.

From the Nuremberg trials to the Civil Service Reform Act of 1978 to recent budget reconciliation bills, the Encyclopedia of Public Administration and Public Policy provides detailed coverage of watershed policies and decisions from such fields as privatization, biomedical ethics, education, and diversity. This second edition features a wide range of new topics, including military administration, government procurement, social theory, and justice administration in developed democracies. It also addresses current issues such as the creation of the Department of Homeland Security and covers public administration in the Middle East, Africa, Southeast Asia, the Pacific, and Latin America.

The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate statistical models. Graphical models have become a focus of research in many statistical, computational and mathematical fields, including bioinformatics, communication theory, statistical physics, combinatorial optimization, signal and image processing, information retrieval and statistical machine learning. Many problems that arise in specific instances-including the key problems of computing marginals and modes of probability distributions-are best studied in the general setting. Working with exponential family representations, and exploiting the conjugate duality between the cumulant function and the entropy for exponential families, Graphical Models, Exponential Families and Variational Inference develops general variational representations of the problems of computing likelihoods, marginal probabilities and most probable configurations. It describes how a wide variety of algorithms- among them sum-product, cluster variational methods, expectation-propagation, mean field methods, and max-product-can all be understood in terms of exact or approximate forms of these variational representations. The variational approach provides a complementary alternative to Markov chain Monte Carlo as a general source of approximation methods for inference in large-scale statistical models.