Provides a comprehensive look at local economic development and public policy, placing special emphasis on quality of life and sustainability. It draws extensively on case studies, and includes both mainstream and alternative perspectives in dealing with economic growth and development issues. The contributions of economic theories and empirical research to the policy debates, and the relationship of both to quality of life and sustainability are explored and clarified.
"Overall, this volume provides invaluable guidelines to local decision makers and stakeholders for implementing successful sustainability strategies. It will also be of great interest to undergraduate students and concerned citizens alike who are interested in understanding and solving many of this century's local economic development challenges in the US. Summing Up: Highly recommended. Lower-division undergraduate through professional collections"--Choice.
The fully revised new edition of this textbook presents a well-balanced set of economic development financing tools and techniques focused on our current times of economic austerity. While traditional public sector techniques are evaluated and refocused, this volume emphasizes the role of the private sector and the increasing need to bring together different techniques and sources to create a workable financial development package. The chapters address critical assessments of various methods as well as practical advice on how to implement these techniques. New chapters on entrepreneurship, the changing nature of the community banking system, and the increasing need for partnerships provides critical insights into the ever-evolving practice of economic development finance.
Economic challenges in developing Asian countries have become more complex: urban populations are growing at great cost to the environment, climate change has increased risks of natural disasters, and income gaps within and between developing countries are widening. These factors threaten the sustainable growth and development of urban areas, the drivers of Asia's economy. A strategic approach for inclusive growth is needed. The City Cluster Economic Development approach provides a strategic framework and a set of analytical tools, which governments, businesses, and communities can use to support the inclusive and sustainable development of competitive urban economies in Asia. Said approach was developed and tested by the Asian Development Bank to improve the basis for integrated planning and development of urban regions in Asia and the Pacific. It also elps urban managers and other city stakeholders identify action plans and determine priority investment areas.
Written by authors with years of academic, regional, and city planning experience, the classic Planning Local Economic Development has laid the foundation for practitioners and academics working in planning and policy development for generations. With deeper coverage of sustainability and resiliency, the new Sixth Edition explores the theories of local economic development while addressing the issues and opportunities faced by cities, towns, and local entities in crafting their economic destinies within the global economy. Nancey Green Leigh and Edward J. Blakely provide a thoroughly up-to-date exploration of planning processes, analytical techniques and data, and locality, business, and human resource development, as well as advanced technology and sustainable economic development strategies.
"Offers achievable strategies for revitalizing industrial areas and building upon the potential of overlooked resources of economic, physical, and cultural significance. Addresses such challenges as fostering entrepreneurship, reducing poverty and inequality, and augmenting the number of skilled professionals. Provides analysis of healthy economic development practices for public and private sectors"--Provided by publisher.
"Now thoroughly updated for the challenges of the 21st century, and with new coverage of sustainability, the Fifth Edition explores the theories of local economic development while addressing the issues and opportunities faced by cities, towns and local entities to craft their economic destinies within the global economy."--Jacket.
This textbook looks at economic development at the local, community or regional scale. It provides students with a comprehensive introduction to contemporary thinking about locally-based economic development, how growth can be planned and how that development can be realized. Globalization, Planning and Local Economic Development: • Provides students with a thorough understanding of current debates around local and regional development and how that body of work can assist them in helping communities grow; • Equips students with a ‘toolkit’ of strategies that enable them to both plan for development and deliver that development through their professional lives; • Offers a roadmap for economic development that helps students make sense of place-based development by providing a ‘meta narrative’ of how regions grow and how those processes can be enhanced. This integrating perspective will be organized around the concept of competitiveness and how that concept can be understood and operationalized in various ways; • Introduces students to a range of techniques essential to success in economic development planning. In addition to a wealth of case studies and pedagogical features in the book, this text is also complemented by online resources. In offering a full toolkit of economic development knowledge, techniques and strategies, this text will thoroughly prepare students for a career in urban planning, transport planning, human geography, applied economic analysis, geographic information systems, or work as an economic development practitioner.
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.
