This book examines major policy and planning issues in development studies from the regional science perspective. It investigates questions such as: “How are communities able to deal with uncertainties raised by conflicts, technology, and external shocks in the process of development?”; “How can nations achieve sustainable development in terms of resource allocation and management?”; and “How can developing countries improve their economic competitiveness while maintaining the objectives of equitable and coordinated growth among different regions?” using case studies that focus on different subfields, like infrastructure, environment, data science, sustainability and resilience. The book is organized in three parts. Part I clarifies fundamental issues regarding development studies and regional science in general, while Part II includes several case studies that address development-related opportunities and challenges with a focus on Asian countries. Lastly, Part III offers a global perspective and explores development experiences from countries throughout the world. Featuring contributions by leading academics and practitioners working at various organizations linked to international development, and including multidisciplinary analyses, the book appeals to students who are interested in development studies and regional science. It also offers planners and policymakers fresh insights into regional economic development.

This landmark textbook introduces students to the principles of regional science and focuses on the key methods used in regional analysis, including regional and interregional input-output analysis, econometrics (regional and spatial), programming and industrial and urban complex analysis, gravity and spatial interaction models, SAM and social accounting (welfare) analysis and applied general interregional equilibrium models. The coherent development of the materials contained in the set of chapters provides students with a comprehensive background and understanding of how to investigate key regional problems. For the research scholar, this publication constitutes an up-to-date source book of the basic elements of each major regional science technique. More significant, it points to new directions for future research and ways interregional and regional analytic approaches can be fused to realise much more probing attacks on regional and spatial problems - a contribution far beyond what is available in the literature.

​This volume is a collection of fresh and novel contributions to regional science. They commemorate the scientific inheritance of the founding father of regional science, the late Walter Isard. All papers are written by well-known scholars in the field and serve to highlight the great importance of regional science theory and methodology for a better understanding of current spatial and environmental problems throughout our planet. The book showcases a multidisciplinary panorama of modern regional science research and presents new insights by applying regional science approaches.

A well-written and exciting historical account of the way in which regional science and the formation of the society associated with the field, Regional Science Association International, developed. It starts with the rise of Hitler, the advent of the Keynesian Revolution, the intense mathematization of economics and relates how an individual's creative thinking effectively combated the strong resistance of conventional social sciences. The text has been written by the founder of the Regional Science Association and current President of the North American Regional Science Council. It is of interest to regional scientists, economists, sociologists, urban- and regional planners, geographers, and transportation researchers.

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.

Recent technological advancements and other related factors and trends are contributing to the production of an astoundingly large and rapidly accelerating collection of data, or ‘Big Data’. This data now allows us to examine urban and regional phenomena in ways that were previously not possible. Despite the tremendous potential of big data for regional science, its use and application in this context is fraught with issues and challenges. This book brings together leading contributors to present an interdisciplinary, agenda-setting and action-oriented platform for research and practice in the urban and regional community. This book provides a comprehensive, multidisciplinary and cutting-edge perspective on big data for regional science. Chapters contain a collection of research notes contributed by experts from all over the world with a wide array of disciplinary backgrounds. The content is organized along four themes: sources of big data; integration, processing and management of big data; analytics for big data; and, higher level policy and programmatic considerations. As well as concisely and comprehensively synthesising work done to date, the book also considers future challenges and prospects for the use of big data in regional science. Big Data for Regional Science provides a seminal contribution to the field of regional science and will appeal to a broad audience, including those at all levels of academia, industry, and government.