With growing economic inequality and threats to the sustainability of human societies, Koh argues that cooperatives can play an important role in promoting decent work and reducing economic inequality in the 21st century, and thus urges policy makers to reignite policy discussions on cooperatives. This book shows how worker cooperatives are uniquely situated to empower low and middle-wage workers and what governments can do to promote them. Koh clarifies the mechanism in which cooperatives create an upper hand over conventional companies in ‘labor-intensive’ sectors, thereby boosting employment potential. He also explains cooperatives’ wide contribution to the SDGs, including the resilience of cooperatives in times of crises and their potential to address the challenges of ageing societies. Furthermore, he provides a foundational work on ‘decentralized supporting mechanisms for cooperatives’ based on the analysis of the case of South Korea, where the number of cooperatives increased by 2,000 percent between 2013 and 2023. Lastly, he explains how to use Official Development Assistance (ODA) to support cooperatives in developing countries, especially Private Sector Instruments (PSIs) which were introduced in 2016 by the Development Assistance Committee of the OECD. This book will be interest for researchers in the fields of co-operatives management, development economics and heterodox economics, as well as policymakers and professionals.

The economics literature on industry dynamics contains a wide array of empirical works identifying a set of stylized facts. There have been several attempts at constructing analytical models to explain some of these regularities. These attempts are highly stylized and limited in scope to keep the analyses tractable. A general model of industry evolution capable of generating firm and industry behaviour that can match the data is needed. This book endeavours to explain many well-documented aspects of the evolution of industries over time. It uses an agent-based computational model in which artificial industries are created and grown to maturity in silico. While the firms in the model are assumed to have bounded rationality, they are nevertheless adaptive in the sense that their experience-based R&D efforts allow them to search for improved technologies. Given a technological environment subject to persistent and unexpected external shocks, the computationally generated industry remains in a perennial state of flux. The main objective of this study is to identify patterns that exist in the movements of firms as the industry evolves over time along the steady state in which the measured behaviour of the firms and the industry stochastically fluctuate around steady means. The computational model developed in this book is able to replicate many of the stylized facts from the empirical industrial organization literature, particularly as the facts pertain to the dynamics of firm entry and exit. Furthermore, the model allows examination of cross-industry variations in entry and exit patterns by systematically varying the characteristics of the market and the technological environment within which the computationally generated industry evolves. The model demonstrates that the computational approach based on boundedly rational agents in a dynamic setting can be useful and effective in carrying out both positive and normative economic analysis.

The economics literature on industry dynamics contains a wide array of empirical works identifying a set of stylized facts. There have been several attempts at constructing analytical models to explain some of these regularities. These attempts are highly stylized and limited in scope to keep the analyses tractable. A general model of industry evolution capable of generating firm and industry behaviour that can match the data is needed. This book endeavours to explain many well-documented aspects of the evolution of industries over time. It uses an agent-based computational model in which artificial industries are created and grown to maturity in silico. While the firms in the model are assumed to have bounded rationality, they are nevertheless adaptive in the sense that their experience-based R&D efforts allow them to search for improved technologies. Given a technological environment subject to persistent and unexpected external shocks, the computationally generated industry remains in a perennial state of flux. The main objective of this study is to identify patterns that exist in the movements of firms as the industry evolves over time along the steady state in which the measured behaviour of the firms and the industry stochastically fluctuate around steady means. The computational model developed in this book is able to replicate many of the stylized facts from the empirical industrial organization literature, particularly as the facts pertain to the dynamics of firm entry and exit. Furthermore, the model allows examination of cross-industry variations in entry and exit patterns by systematically varying the characteristics of the market and the technological environment within which the computationally generated industry evolves. The model demonstrates that the computational approach based on boundedly rational agents in a dynamic setting can be useful and effective in carrying out both positive and normative economic analysis.

This book explores the role of governments and international financial institutions (IFIs) in mitigating the perceived risks in green infrastructure markets of emerging and developing countries. Although green infrastructure is designed to enhance a country's wealth, the author sheds light on the way that the market is failing to link up institutional investors' needs for a stable yield with the demands of potentially financially-viable investments in green infrastructure markets. Providing a detailed analysis of the root cause of this market failure, this innovative book offers powerful solutions for developing countries. An essential read for academics of development economics and international finance, as well as practitioners and policy-makers, this book covers topics such as industrial policy, climate governance, carbon markets and capital markets.

In response to Executive Order S-3-05, an evaluation of the implications to California of possible climate changes was undertaken using a scenario-based approach. The "Scenarios Project" investigated projected impacts of climate change on six sectors in the California region. The investigation considered the early, middle and later portions of the twenty-first century, guided by a set of IPCC Fourth Assessment global climate model runs forced by higher and lower greenhouse gas emission scenarios. Each of these climate simulations produce substantial impacts in California that would require adaptations from present practices or status. The most severe impacts could be avoided, however, if emissions can be held near the lower end of global greenhouse gas emissions scenarios. Reprinted from Climatic Change, Vol. 109: Supplement 1 (2011)

Up-to-date coverage of most micro-econometric topics; first half parametric, second half semi- (non-) parametric Many empirical examples and tips in applying econometric theories to data Essential ideas and steps shown for most estimators and tests; well-suited for both applied and theoretical readers

This book comprises the refereed proceedings of the two International Conference on Green and Smart Technology, GST 2012, and on Sensor and Its Applications, SIA 2012, held in Jeju Island, Korea, in November/December 2012. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of green and smart technology with sensor applications.

Developing algorithms for multi-dimensional Fourier transforms, this book presents results that yield highly efficient code on a variety of vector and parallel computers. By emphasising the unified basis for the many approaches to both one-dimensional and multidimensional Fourier transforms, this book not only clarifies the fundamental similarities, but also shows how to exploit the differences in optimising implementations. It will thus be of great interest not only to applied mathematicians and computer scientists, but also to seismologists, high-energy physicists, crystallographers, and electrical engineers working on signal and image processing.

The aim of this work is to present several topics in time-frequency analysis as subjects in abelian group theory. The algebraic point of view pre dominates as questions of convergence are not considered. Our approach emphasizes the unifying role played by group structures on the development of theory and algorithms. This book consists of two main parts. The first treats Weyl-Heisenberg representations over finite abelian groups and the second deals with mul tirate filter structures over free abelian groups of finite rank. In both, the methods are dimensionless and coordinate-free and apply to one and multidimensional problems. The selection of topics is not motivated by mathematical necessity but rather by simplicity. We could have developed Weyl-Heisenberg theory over free abelian groups of finite rank or more generally developed both topics over locally compact abelian groups. However, except for having to dis cuss conditions for convergence, Haar measures, and other standard topics from analysis the underlying structures would essentially be the same. A re cent collection of papers 17] provides an excellent review of time-frequency analysis over locally compact abelian groups. A further reason for limiting the scope of generality is that our results can be immediately applied to the design of algorithms and codes for time frequency processing."

This two volume set LNCS 6587 and LNCS 6588 constitutes the refereed proceedings of the 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011, held in Saarbrucken, Germany, in April 2010. The 53 revised full papers and 12 revised short papers presented together with 2 invited keynote papers, 22 demonstration papers, 4 industrial papers, 8 demo papers, and the abstract of 1 panel discussion, were carefully reviewed and selected from a total of 225 submissions. The topics covered are social network, social network and privacy, data mining, probability and uncertainty, stream processing, graph, XML, XML and graph, similarity, searching and digital preservation, spatial queries, query processing, as well as indexing and high performance.

This graduate-level text provides a language for understanding, unifying, and implementing a wide variety of algorithms for digital signal processing - in particular, to provide rules and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines. It thus bridges the gap between digital signal processing algorithms and their implementation on a variety of computing platforms. The mathematical concept of tensor product is a recurring theme throughout the book, since these formulations highlight the data flow, which is especially important on supercomputers. Because of their importance in many applications, much of the discussion centres on algorithms related to the finite Fourier transform and to multiplicative FFT algorithms.

The book analyses the development of international standards for countering terrorist financing from the perspective of international criminal law. It is likely to find its value for readers not only as a monograph on the financing of terrorism but also as a reference book on the operational and theoretical development of anti-money laundering strategy following 9/11. In particular, the works of main actors in this area such as the UN Security Council, Financial Action Task Force, IMF, World Bank, and APG are dealt with in depth.

Up-to-date coverage of most micro-econometric topics; first half parametric, second half semi- (non-) parametric

Many empirical examples and tips in applying econometric theories to data

Essential ideas and steps shown for most estimators and tests; well-suited for both applied and theoretical readers

The book analyses the development of international standards for countering terrorist financing from the perspective of international criminal law. It is likely to find its value for readers not only as a monograph on the financing of terrorism but also as a reference book on the operational and theoretical development of anti-money laundering strategy following 9/11. In particular, the works of main actors in this area such as the UN Security Council, Financial Action Task Force, IMF, World Bank, and APG are dealt with in depth.

The aim of this work is to present several topics in time-frequency analysis as subjects in abelian group theory. The algebraic point of view pre dominates as questions of convergence are not considered. Our approach emphasizes the unifying role played by group structures on the development of theory and algorithms. This book consists of two main parts. The first treats Weyl-Heisenberg representations over finite abelian groups and the second deals with mul tirate filter structures over free abelian groups of finite rank. In both, the methods are dimensionless and coordinate-free and apply to one and multidimensional problems. The selection of topics is not motivated by mathematical necessity but rather by simplicity. We could have developed Weyl-Heisenberg theory over free abelian groups of finite rank or more generally developed both topics over locally compact abelian groups. However, except for having to dis cuss conditions for convergence, Haar measures, and other standard topics from analysis the underlying structures would essentially be the same. A re cent collection of papers 17] provides an excellent review of time-frequency analysis over locally compact abelian groups. A further reason for limiting the scope of generality is that our results can be immediately applied to the design of algorithms and codes for time frequency processing."

This graduate-level text provides a language for understanding, unifying, and implementing a wide variety of algorithms for digital signal processing - in particular, to provide rules and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines. It thus bridges the gap between digital signal processing algorithms and their implementation on a variety of computing platforms. The mathematical concept of tensor product is a recurring theme throughout the book, since these formulations highlight the data flow, which is especially important on supercomputers. Because of their importance in many applications, much of the discussion centres on algorithms related to the finite Fourier transform and to multiplicative FFT algorithms.

Statistics for Evidence-Based Practice in Nursing, Third Edition teaches graduate students and professional nurses statistics using a readable, student- friendly approach. The Third Edition promotes a comprehensive understanding of statistics in all aspects of clinical practice and health care settings. Due to health care reform and the emphasis on quality care and patient safety, nurses are required to have the skills to interpret and evaluate statistical findings for practice, as well as use statistics in the design of evidence-based practice projects. Key Features: New evidence-based case studies and real-life examples to reflect current practice and issues in nursing and healthcar New critical thinking questions and self-quizzes to reinforce key concepts Written with an eye for clarity and accessibility to help drive student comprehension of statistics Larger, more complex datasets intended to expose students to the challenges of working with large populations Updated screenshots of the latest SPSS and Excel procedures for visual representation of statistical analysis in action Navigate 2 Premier Access

Oxide Free Nanomaterials for Energy Storage and Conversion Applications covers in depth topics on non-oxide nanomaterials involving transition metal nitrides, carbides, selenides, phosphides, oxynitrides based electrodes, & other non-oxide groups. The current application of nanostructured nonoxides involves their major usage in energy storage and conversion devices variety of applications such as supercapacitor, batteries, dye-sensitized solar cells and hydrogen production applications. The current application of energy storage devices involves their usage of nanostructured non-oxide materials with improved energy and power densities. In this book readers will discover the major advancements in this field during the past decades. The various techniques used to prepare environmentally friendly nanostructured non-oxide materials, their structural and morphological characterization, their improved mechanical and material properties, and finally, current applications and future impacts of these materials are discussed. While planning and fabricating non-oxide materials, the readers must be concern over that they ought to be abundant, cost-efficient and environment-friendly for clean innovation and conceivably be of use in an expansive choice of utilization. The book gives detailed literature on the development of nanostructured non-oxides, their use as energy related devices and their present trend in the industry and market. This book also emphasis on the latest advancement about application of these noble non-oxide based materials for photocatalytic water-splitting. Recent progress on various kinds of both photocatalytic and electrocatalytic nanomaterials is reviewed, and essential aspects which govern catalytic behaviours and the corresponding stability are discussed. The book will give an updated literature on the synthesis, potential applications and future of nanostructured non-oxides in energy related applications. This book is highly useful to researchers working in the field with diversified backgrounds are expected to making the chapter truly interdisciplinary in nature. The contents in the book will emphasize the recent advances in interdisciplinary research on processing, morphology, structure and properties of nanostructured non-materials and their applications in energy applications such as supercapacitors, batteries, solar cells, electrochemical water splitting and other energy applications. Thus, nanotechnology researchers, scientists and experts need to have update of the growing trends and applications in the field of science and technology. Further, the postgraduate students, scientists, researchers and technologists are need to buy this book.

How has Hanguk (South Korean) hip hop developed over the last two decades as a musical, cultural, and artistic entity? How is hip hop understood within historical, sociocultural, and economic matrices of Korean society? How is hip hop represented in Korean media and popular culture? This book utilizes ethnographic methods, including fieldwork research and life timeline interviews with fifty-three influential hip hop artists, in order to answer these questions. It explores the nuanced meaning of hip hop in South Korea, outlining the local, global, and (trans)national flows of musical and cultural exchanges. Throughout the chapters, Korean hip hop is examined through the notion of buran-personal and societal anxiety or uncertainty-and how it manifests in the dimensions of space and place, economy, cultural production, and gender. Ultimately, buran serves as a metaphoric state for Hanguk hip hop in that it continuously evolves within the conditions of Korean society.

This book explores the role of governments and international financial institutions (IFIs) in mitigating the perceived risks in green infrastructure markets of emerging and developing countries. Although green infrastructure is designed to enhance a country's wealth, the author sheds light on the way that the market is failing to link up institutional investors' needs for a stable yield with the demands of potentially financially-viable investments in green infrastructure markets. Providing a detailed analysis of the root cause of this market failure, this innovative book offers powerful solutions for developing countries. An essential read for academics of development economics and international finance, as well as practitioners and policy-makers, this book covers topics such as industrial policy, climate governance, carbon markets and capital markets.

This book develops theory and algorithms leading to systematic waveform design in time-frequency space. The key tool employed in the work is the Zak transform, which provides a two-dimensional image for sequences, the Fourier transform, convolution, and correlation, and allows for the design of sequences directly in Zak space. Application areas covered include pulse radars and sonars, multibeam radar and sonar imaging systems, remote dielectric material identification, and code division multiple-access communication systems. This is an excellent reference text for graduate students, researchers, and engineers in radar, sonar, and communication systems.

In response to an Executive Order by former California Governor Schwarzenegger, an evaluation of the implications to California of possible climate changes was undertaken using a scenario-based approach. The Scenarios Project investigated projected impacts of climate change on six sectors in the California region. The investigation considered the early, middle and later portions of the twenty-first century, guided by a set of IPCC Fourth Assessment global climate model runs forced by higher and lower greenhouse gas emission scenarios. Each of these climate simulations produce substantial impacts in California that would require adaptations from present practices or status. The most severe impacts could be avoided, however, if emissions can be held near the lower end of global greenhouse gas emissions scenarios.Reprinted from Climatic Change, Vol. 109: Supplement 1 (2011)

This two volume set LNCS 6587 and LNCS 6588 constitutes the refereed proceedings of the 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011, held in Saarbr cken, Germany, in April 2010. The 53 revised full papers and 12 revised short papers presented together with 2 invited keynote papers, 22 demonstration papers, 4 industrial papers, 8 demo papers, and the abstract of 1 panel discussion, were carefully reviewed and selected from a total of 225 submissions. The topics covered are social network, social network and privacy, data mining, probability and uncertainty, stream processing, graph, XML, XML and graph, similarity, searching and digital preservation, spatial queries, query processing, as well as indexing and high performance.