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Reducing Global Poverty (Hardcover)
Barry B. Hughes, Mohammod T. Irfan, Haider Khan, Krishna B. Kumar, Dale S. Rothman, …
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R4,610
Discovery Miles 46 100
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This is the first volume in an ambitious new series-"Patterns of
Potential Human Progress"-inspired by the UN Millennium Development
Goals (MGDs) and other initiatives to improve the global condition.
The first and most fundamental of these goals-reducing poverty
worldwide-is the focus of this book. Using the large-scale computer
program called International Futures (IFs), developed over three
decades at the prestigious University of Denver Graduate School of
International Studies, this book explores the most extensive set of
forecasts of global poverty ever made-providing a wide range of
scenarios based on an authoritative array of data. It transcends
the "$1 a day" baseline measure of poverty and probes important
concepts like income poverty gaps and relative poverty. The
forecasts are long-term, looking 50 years into the future, far
beyond the 2015 date set out by the MDGs. They are geographically
rich, spanning the entire globe and drilling down to the country
level, including one of the most important global focal points,
India. The poverty forecasts in this book, and all the volumes in
the series, are fully integrated in perspective across a wide range
of human development arenas including demographics, economics,
politics, agriculture, energy, and the environment. Full of
colorful and thoughtfully designed graphs, tables, maps, and other
visual presentations of data and forecasts, this large-format
inaugural volume ensures that the "Patterns of Potential Human
Progress" series will become an indispensable resource for every
development professional, student, professor, library, and indeed,
country around the world.
This is the first volume in an ambitious new series-"Patterns of
Potential Human Progress"-inspired by the UN Millennium Development
Goals (MGDs) and other initiatives to improve the global condition.
The first and most fundamental of these goals-reducing poverty
worldwide-is the focus of this book. Using the large-scale computer
program called International Futures (IFs) developed over three
decades at the prestigious University of Denver Graduate School of
International Studies, this book explores the most extensive set of
forecasts of global poverty ever made-providing a wide range of
scenarios based on an authoritative array of data. It transcends
the "$1 a day" baseline measure of poverty and probes important
concepts like income poverty gaps and relative poverty. The
forecasts are long-term, looking 50 years into the future, far
beyond the 2015 date set out by the MDGs. They are geographically
rich, spanning the entire globe and drilling down to the country
level, including one of the most important global focal points,
India. The poverty forecasts in this book, and all the volumes in
the series, are fully integrated in perspective across a wide range
of human development arenas including demographics, economics,
politics, agriculture, energy, and the environment. Full of
colorful, thoughtfully designed graphs, tables, maps, and other
visual presentations of data and forecasts, this large-format
inaugural volume ensures that the "Patterns of Potential Human
Progress" series will become an indispensable resource for every
development professional, student, professor, library, and indeed,
country around the world.
the available evidence of China's S&T, R&D, and innovative
capabilities, to provide an assessment of the effectiveness and
potentialities of its national system of innovation (NSI) ), and to
formulate some preliminary policy suggestions aimed at perfecting
China's overall innovation strategy. Our approach focuses
particularly on the evolving relationship between China's NSI and
the country's overall market socialist social and economic system
and on related policy challenges. In addition to generating
technical progress, China's development strategy shall also take
into account the challenge of establishing a model of innovation
compatible with an equitable pattern of income distribution and
with environmental sustainability, thereby paving the way to the
eventual evolution towards a higher and more developed form of
socialism In this context, we propose to consider the utility of
nonlinear models of the POLIS (positive feed back innovation
system) class, which are suitable to chart strategically the market
socialist course, as their internal logic is consistent with
China's unique catch up strategy.
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