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This is the first book to fully introduce a newly developed distance friction minimization (DFM) model, which is one of the new efficiency improvement projection approaches in data envelopment analysis (DEA). The DFM model can produce a most effective solution in efficiency improvement projections for inefficient spatial entities (decision-making units). The book provides a set of fresh contributions to a quantitative assessment of the performance of such policy entities. First it offers a state-of-the art overview of current DEA models and approaches, followed by the operational design of various new types of DEA models, each of them addressing weaknesses in traditional DEA approaches. Then it illustrates the assessment potential of DEA — and its new variants, in particular, the DFM model and subsequent extensions — on the basis of a broadly composed collection of empirical case studies, centering mainly but not exclusively on Japan and other Asian nations.
This book celebrates the life and work of Peter Nijkamp, whose research provides a strong focus on regional science. His work follows a rigorous, comprehensive approach, centred around analytical modelling and methodological innovation. This edited volume, like Prof Nijkamp’s research, covers a wide range of topics in regional science, analysed through multi-criteria evaluation, evaluation modelling, econometrics, and simulations, among other methods. These tools are applied to the analysis of society and culture, tourism and information, cities, environment and sustainability. Professor Nijkamp is one of the founders and the past president of the Regional Science Association International. His work forms a valuable reference for researchers, scholars, policymakers, and students in the field of regional science and other disciplines. This volume, timed to coincide with his 75th birthday, celebrates Prof Nijkamp’s great contributions to regional science. He also promoted and participated in the education and development of young researchers not only in regional science but also in other fields, supervising many Ph.D. students and hosting even more as guests in Amsterdam. Contributors to this volume include Prof Nijkamp’s former doctoral students and guest researchers, as well as associates and colleagues.
Introduces a bold, new model for energy industry pollution prevention and sustainable growth Balancing industrial pollution prevention with economic growth is one of the knottiest problems faced by industry today. This book introduces a novel approach to using data envelopment analysis (DEA) as a powerful tool for achieving that balance in the energy industries—the world’s largest producers of greenhouse gases. It describes a rigorous framework that integrates elements of the social sciences, corporate strategy, regional economics, energy economics, and environmental policy, and delivers a methodology and a set of strategies for promoting green innovation while solving key managerial challenges to greenhouse gas reduction and business growth. In writing this book the authors have drawn upon their pioneering work and considerable experience in the field to develop an unconventional, holistic approach to using DEA to assess key aspects of sustainability development. The book is divided into two sections, the first of which lays out a conventional framework of DEA as the basis for new research directions. In the second section, the authors delve into conceptual and methodological extensions of conventional DEA for solving problems of environmental assessment in all contemporary energy industry sectors. Introduces a powerful new approach to using DEA to achieve pollution prevention, sustainability, and business growth Covers the fundamentals of DEA, including theory, statistical models, and practical issues of conventional applications of DEA Explores new statistical modeling strategies and explores their economic and business implications Examines applications of DEA to environmental analysis across the complete range of energy industries, including coal, petroleum, shale gas, nuclear energy, renewables, and more Summarizes important studies and nearly 800 peer reviewed articles on energy, the environment, and sustainability Environmental Assessment on Energy and Sustainability by Data Envelopment Analysis is must-reading for researchers, academics, graduate students, and practitioners in the energy industries, as well as government officials and policymakers tasked with regulating the environmental impacts of industrial pollution.
This book addresses two general questions that have arisen as a result of the uneven rise of the various Asian economies in contemporary times. First, to lift people out of poverty and to improve the quality of their lives, how do we institute policies that will ensure economic growth in the different regions of Asia? Second, what can we do to ensure that the economic growth we seek is sustainable so that the regional economic development that emerges is broad-based, inclusive, and environmentally conscious? Specifically, this edited book will provide a unified perspective on regional growth and sustainable development in Asia by focusing on the above two broad questions. The book will emphasize dynamic modeling and it will illustrate the role that sound theoretical and empirical modeling of an intertemporal nature can play in shedding light on salient public policy questions concerning regional growth and sustainable development. The specific topics to be addressed in this book include growth accounting, natural resource use and management, the regulation of environmental externalities, geographic information systems, and regional climate change. The individual chapters in this book will be written by international experts who are also active researchers in their respective fields. Therefore, this book is highly recommended to all readers who seek an in-depth and up-to-date perspective on some of the most salient issues at the interface of regional growth and sustainable development in Asia.
This book is a volume of essays celebrating the life and work of Yoshiro Higano, professor of Environmental Policy, Doctoral Program in Sustainable Environmental Studies, Graduate School of Life and Environmental Sciences, University of Tsukuba, Japan. Prof. Higano’s research strongly focuses on the comprehensive evaluation of resources and research content for decision science and engineering, including simulation modeling for environmental quality control, the evaluation of environmental remediation technologies, integrated river (lake) basin management, and synthesized environmental policy. Yoshiro Higano is the past president of the Regional Science Association International (RSAI) and the current president of the Japan Section of the RSAI (JSRSAI). He also served as executive secretary for the Pacific Regional Science Conference Organizations (PRSCO). This edited volume covers a wide range of regional science approaches, theory, policy, evaluation, modeling, simulation, and practice. It is a valuable reference work for researchers, scholars, policy makers, and students in the field of regional science. The volume celebrates Prof. Higano’s contributions to the JSRSAI, PRSCO, and RSAI. Essay contributors include his former students and a wide array of regional scientists, each with a personal connection to Prof. Higano.
In the aftermath of both ongoing globalisation (with both widening and deepening effects on countries, regions and cities) and structural changes resulting from the 2008 economic recession, regions and cities in our world are confronted with a different arena of players, performances and institutions. The challenges are formidable and numerous. Many regions and cities seem to resort to their indigenous strength, without much regard to other players in the field. This has enormous consequences for the competitive behaviour and profile of regional and urban actors but has at the same time deep impacts on the distribution of wealth, income and employment over and within countries, regions and cities. There is indeed much evidence that disparities among regions and in cities are increasing in this new force field. This special issue of REGION makes a solid scientific attempt (i) to map out the spatial consequences of recent transitions in growth trajectories of countries or regions, and (ii) to trace policy strategies and design effective policy information, to cope adequately with these new challenges. The present special issue does so by highlighting the new force field of regional and urban dynamics from three angles in the context of spatial quality and inequality. These will be briefly sketched below.
We live in the ‘urban century’. Cities all over the world – in both developing and developed countries – display complex evolutionary patterns. Urban Empires charts the backgrounds, mechanisms, drivers, and consequences of these radical changes in our contemporary systems from a global perspective and analyses the dominant position of modern cities in the ‘New Urban World’. This volume views the drastic change cities have undergone internationally through a broad perspective and considers their emerging roles in our global network society. Chapters from renowned scholars provide advanced analytical contributions, scaling applied and theoretical perspectives on the competitive profile of urban agglomerations in a globalizing world. Together, the volume traces and investigates the economic and political drivers of network cities in a global context and explores the challenges over governance that are presented by mega-cities. It also identifies and maps out the new geography of the emergent ‘urban century’. With contributions from well-known and influential scholars from around the world, Urban Empires serves as a touchstone for students and researchers keen to explore the scientific and policy needs of cities as they become our age’s global power centers.
This open access book analyzes and seeks to consolidate the use of robust quantitative tools and qualitative methods for the design and assessment of energy and climate policies. In particular, it examines energy and climate policy performance and associated risks, as well as public acceptance and portfolio analysis in climate policy, and presents methods for evaluating the costs and benefits of flexible policy implementation as well as new framings for business and market actors. In turn, it discusses the development of alternative policy pathways and the identification of optimal switching points, drawing on concrete examples to do so. Lastly, it discusses climate change mitigation policies’ implications for the agricultural, food, building, transportation, service and manufacturing sectors.
Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References has been carefully designed by the authors to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. The authors have been involved in DEA's development from the beginning. William Cooper (with Abraham Charnes and Edwardo Rhodes) is a founder of DEA. Lawrence Seiford and Kaoru Tone have been actively involved as researchers and practitioners from its earliest beginnings. All have been deeply involved in uses of DEA in practical applications as well as in the development of its basic theory and methodologies. The result is a textbook grounded in authority, experience and substance.
This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It introduces the underlying theories, shows how to make the relevant calculations and discusses applications. The aim is to make the reader aware of the pros and cons of the different methods and to show how to use these methods in both standard and non-standard cases. Several software packages have been developed to solve some of the most common DEA and SFA models. This book relies on R, a free, open source software environment for statistical computing and graphics. This enables the reader to solve not only standard problems, but also many other problem variants. Using R, one can focus on understanding the context and developing a good model. One is not restricted to predefined model variants and to a one-size-fits-all approach. To facilitate the use of R, the authors have developed an R package called Benchmarking, which implements the main methods within both DEA and SFA. The book uses mathematical formulations of models and assumptions, but it de-emphasizes the formal proofs - in part by placing them in appendices -- or by referring to the original sources. Moreover, the book emphasizes the usage of the theories and the interpretations of the mathematical formulations. It includes a series of small examples, graphical illustrations, simple extensions and questions to think about. Also, it combines the formal models with less formal economic and organizational thinking. Last but not least it discusses some larger applications with significant practical impacts, including the design of benchmarking-based regulations of energy companies in different European countries, and the development of merger control programs for competition authorities.