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This book provides a broad investigation of various issues in East
Asia's steel industry since the 1980s, including international
specialization and trade relations, the sustainable use of
resources, technological innovations, and environmental mitigation,
alongside a consideration of the rapid growth in Chinese steel
industry. Using macro and firm-level data, and case studies based
on field research to discuss issues concerning the steel industry
in East Asia. In search of an easy understanding, we try to
simplify complicated economic models and statistical analyses, and
concentrate on policy implications based as much as possible on the
results of empirical analyses. We believe that this book will be of
interest to policymakers, economists, practitioners and advocates
of sustainability.
This book provides a broad investigation of various issues in East
Asia's steel industry since the 1980s, including international
specialization and trade relations, the sustainable use of
resources, technological innovations, and environmental mitigation,
alongside a consideration of the rapid growth in Chinese steel
industry. Using macro and firm-level data, and case studies based
on field research to discuss issues concerning the steel industry
in East Asia. In search of an easy understanding, we try to
simplify complicated economic models and statistical analyses, and
concentrate on policy implications based as much as possible on the
results of empirical analyses. We believe that this book will be of
interest to policymakers, economists, practitioners and advocates
of sustainability.
This book addresses the integration of the Internet and finance
which recently has been one of the most notable topics of
discussion in the media, the business community, academia, and
among policymakers, both in China and worldwide. As a
comprehensive, in-depth analysis of the one of the fastest growing
industries in China, the book covers all the most important areas
and issues in the crowdfunding industry in China, including the
definition, types, and history of crowdfunding, the scale of the
crowdfunding market, the basic business models and risk analysis of
crowdfunding, the characteristics of the typical crowdfunding
platforms, case studies of the leading crowdfunding platforms in
China, and the future development of the crowdfunding industry in
China. The book combines theoretical analysis with conceptual
discussions and best practices in the crowdfunding industry in
China. It is of interest to a variety of readers around the globe,
such as (1) existing and potential fund demanders; (2) existing and
potential fund providers; (3) investors and professionals running
crowdfunding platforms; (4) professionals and major shareholders of
traditional financial institutions; (5) staff in regulatory
government agencies; (6) academics; and (7) the general public.
This book addresses the integration of the Internet and finance
which recently has been one of the most notable topics of
discussion in the media, the business community, academia, and
among policymakers, both in China and worldwide. As a
comprehensive, in-depth analysis of the one of the fastest growing
industries in China, the book covers all the most important areas
and issues in the crowdfunding industry in China, including the
definition, types, and history of crowdfunding, the scale of the
crowdfunding market, the basic business models and risk analysis of
crowdfunding, the characteristics of the typical crowdfunding
platforms, case studies of the leading crowdfunding platforms in
China, and the future development of the crowdfunding industry in
China. The book combines theoretical analysis with conceptual
discussions and best practices in the crowdfunding industry in
China. It is of interest to a variety of readers around the globe,
such as (1) existing and potential fund demanders; (2) existing and
potential fund providers; (3) investors and professionals running
crowdfunding platforms; (4) professionals and major shareholders of
traditional financial institutions; (5) staff in regulatory
government agencies; (6) academics; and (7) the general public.
Nonlinear models have been used extensively in the areas of
economics and finance. Recent literature on the topic has shown
that a large number of series exhibit nonlinear dynamics as opposed
to the alternative--linear dynamics. Incorporating these concepts
involves deriving and estimating nonlinear time series models, and
these have typically taken the form of Threshold Autoregression
(TAR) models, Exponential Smooth Transition (ESTAR) models, and
Markov Switching (MS) models, among several others. This edited
volume provides a timely overview of nonlinear estimation
techniques, offering new methods and insights into nonlinear time
series analysis. It features cutting-edge research from leading
academics in economics, finance, and business management, and will
focus on such topics as Zero-Information-Limit-Conditions, using
Markov Switching Models to analyze economics series, and how best
to distinguish between competing nonlinear models. Principles and
techniques in this book will appeal to econometricians, finance
professors teaching quantitative finance, researchers, and graduate
students interested in learning how to apply advances in nonlinear
time series modeling to solve complex problems in economics and
finance.
This book, as a comprehensive, in-depth analysis of one of the
fastest-growing industries in China, covers all the most important
areas and issues in the country's online lending industry. It
includes, but is not limited to, the history of online lending, the
scale of the online lending market, the basic business models in
and a risk analysis of online lending, the characteristics of
typical online-lending borrowers and investors/lenders, the root
causes of bankruptcy among failed online lending platforms, a
comparative analysis of online lending platforms inside and outside
China, the overall ranking of online lending platforms in China and
finally, the outlook for the online lending industry in the future.
The integration of Internet and finance has, in recent years, been
among the most notable topics discussed in the media, the business
community and academia, both in China and worldwide. The chapters
are supplemented with detailed case studies, which include
illustrations and tables and the book combines theoretical analysis
with conceptual discussions of and best practices in the online
lending industry. It will be of interest to a variety of readers
worldwide, including: (1) existing and potential online borrowers;
(2) existing and potential online lenders; (3) investors and
professionals running online lending platforms; (4) traditional
bankers and major shareholders in traditional financial
institutions; (5) staff in regulatory government agencies; (6)
academics; and (7) the general public.
Nonlinear models have been used extensively in the areas of
economics and finance. Recent literature on the topic has shown
that a large number of series exhibit nonlinear dynamics as opposed
to the alternative--linear dynamics. Incorporating these concepts
involves deriving and estimating nonlinear time series models, and
these have typically taken the form of Threshold Autoregression
(TAR) models, Exponential Smooth Transition (ESTAR) models, and
Markov Switching (MS) models, among several others. This edited
volume provides a timely overview of nonlinear estimation
techniques, offering new methods and insights into nonlinear time
series analysis. It features cutting-edge research from leading
academics in economics, finance, and business management, and will
focus on such topics as Zero-Information-Limit-Conditions, using
Markov Switching Models to analyze economics series, and how best
to distinguish between competing nonlinear models. Principles and
techniques in this book will appeal to econometricians, finance
professors teaching quantitative finance, researchers, and graduate
students interested in learning how to apply advances in nonlinear
time series modeling to solve complex problems in economics and
finance.
This book constitutes the proceedings of the MICCAI 2022 Challenge,
FLARE 2022, held in Conjunction with MICCAI 2022, in Singapore, on
September 22, 2022. The 28 full papers presented in this book were
carefully reviewed and selected from 48 submissions. The papers
present research and results for abdominal organ segmentation which
has many important clinical applications, such as organ
quantification, surgical planning, and disease diagnosis.
Precision motion control is strongly required in many fields, such
as precision engineering, micromanufacturing, biotechnology, and
nanotechnology. Although great achievements have been made in
control engineering, it is still challenging to fulfill the desired
performance for precision motion control systems. Substantial works
have been presented to reveal an increasing trend to apply
optimization approaches in precision engineering to obtain the
control system parameters. In this book, we present a result of
several years of work in the area of advanced optimization for
motion control systems. The book is organized into two parts: Part
I focuses on the model-based approaches, and Part II presents the
data-based approaches. To illustrate the practical appeal of the
proposed optimization techniques, theoretical results are verified
with practical examples in each chapter. Industrial problems
explored in the book are formulated systematically with necessary
analysis of the control system synthesis. By virtue of the design
and implementation nature, this book can be used as a reference for
engineers, researchers, and students who want to utilize control
theories to solve the practical control problems. As the
methodologies have extensive applicability in many control
engineering problems, the research results in the field of
optimization can be applied to full-fledged industrial processes,
filling in the gap between research and application to achieve a
technology frontier increment.
Suffocating smog regularly envelops Chinese metropolises from
Beijing to Shanghai, clouding the future prospect of China's growth
sustainability. Air pollutants do not discriminate between the rich
and the poor, the politician and the "average Joe." They put
everyone's health and economic prosperity at risk, creating future
costs that are difficult to calculate. Yet many people, including
some in China, are concerned that addressing environmental
challenges will jeopardize economic growth. In The Economics of Air
Pollution in China, leading Chinese economist Ma Jun makes the case
that the trade-off between growth and environment is not
inevitable. In his ambitious proposal to tackle severe air
pollution and drastically reduce the level of so-called PM 2.5
particles-microscopic pollutants that lodge deeply in lungs-Ma Jun
argues that in targeting pollution, China has a real opportunity to
undertake significant structural economic reforms that would
support long-term growth. Rooted in rigorous analyses and
evidence-based projections, Ma Jun's "big bang" proposal aims to
mitigate pollution and facilitate a transition to a greener and
more sustainable growth model.
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