An investigation of the process of economic growth in a small open economy by one of the world's leading economists.

This book provides an in-depth investigation of the link between human capital and economic growth. The authors take an innovative approach, examining the determinants of economic growth through a historical overview of the concept of human capital. The text fosters a deep understanding of the connection between human capital and economic growth through the exploration of different theoretical approaches, a review of the literature, and the application of nonlinear estimation techniques to a comprehensive data set. The authors discuss nonparametric econometric techniques and their application to estimating nonlinearities—which has emerged as one of the most salient features of empirical work in modeling the human capital-growth relationship, and the process of economic growth in general. By delving into the topic from theoretical and empirical standpoints, this book offers an insightful new view that will be extremely useful for scholars, students, and policy makers.

An examination of long-term trends in capital formation and financing in the U.S., this study is organized primarily around the principal capital-using sectors of the economy: agriculture, mining and manufacturing, public utilities, non-farm residential real estate, and government. The analysis summarizes major trends in real capital formation and financing, and the factors that determined the trends. Originally published in 1961. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Should our research and policy advice be guided by a modern version of capital fundamentalism, in which capital and investment are viewed as the primary determinants of economic development and long- run growth? No. Capital accumulation seems to be part of the process of economic development, not its igniting source.

This book addresses nine relevant questions: Will population growth reduce the growth rate of per capita income because it reduces the per capita availability of exhaustible resources? How about for renewable resources? Will population growth aggravate degradation of the natural environment? Does more rapid growth reduce worker output and consumption? Do rapid growth and greater density lead to productivity gains through scale economies and thereby raise per capita income? Will rapid population growth reduce per capita levels of education and health? Will it increase inequality of income distribution? Is it an important source of labor problems and city population absorption? And, finally, do the economic effects of population growth justify government programs to reduce fertility that go beyond the provision of family planning services?

The Economics and Econometrics of the Energy-Growth Nexus recognizes that research in the energy-growth nexus field is heterogeneous and controversial. To make studies in the field as comparable as possible, chapters cover aggregate energy and disaggregate energy consumption and single country and multiple country analysis. As a foundational resource that helps researchers answer fundamental questions about their energy-growth projects, it combines theory and practice to classify and summarize the literature and explain the econometrics of the energy-growth nexus. The book provides order and guidance, enabling researchers to feel confident that they are adhering to widely accepted assumptions and procedures. Provides guidance about selecting and implementing econometric tools and interpreting empirical findings Equips researchers to get clearer pictures of the most robust relationships between variables Covers up-to-date empirical and econometric methods Combines theory and practice to classify and summarize the literature and explain the econometrics of the energy-growth nexus

The result of two years work by 19 experienced policymakers and two Nobel prize-winning economists, 'The Growth Report' is the most complete analysis to date of the ingredients which, if used in the right country-specific recipe, can deliver growth and help lift populations out of poverty.

One of the most enduring questions in economics involves how a nation could accelerate the pace of its economic development. One of the most enduring answers to this question is to promote exports -either because doing so directly influences development via encouraging production of goods for export, or because export promotion permits accumulation of foreign exchange which permits importation of high-quality goods and services, which can in turn be used to expand the nation's production possibilities. In either case, growth is said to be export-led; the latter case is the so-called "two-gap" hypothesis (McKinnon, 1964; Findlay, 1973). The early work on export-led growth consisted of static cross-country com parisons (Michaely, 1977; Balassa, 1978; Tyler, 1981; Kormendi and Meguire, 1985). These studies generally concluded that there is strong evidence in favour of export-led growth because export growth and income growth are highly correlated. However, Kravis pointed out in 1970 that the question is an essen tially dynamic one: as he put it, are exports the handmaiden or the engine of growth? To make this determination one needs to look at time series to see whether or not exports are driving income. This approach has been taken in a number of papers (Jung and Marshall, 1985; Chow, 1987; Serletis, 1992; Kunst and Marin, 1989; Marin, 1992; Afxentiou and Serletis, 1991), designed to assess whether or not individual countries exhibit statistically significant evidence of export-led growth using Granger causality tests.