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.