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Author: Michael Shuman Publisher: Chelsea Green Publishing ISBN: 1603585761 Category : Business & Economics Languages : en Pages : 250
Book Description
Reinventing economic development as if small business mattered In cities and towns across the nation, economic development is at a crossroads. A growing body of evidence has proven that its current cornerstone—incentives to attract and retain large, globally mobile businesses—is a dead end. Even those programs that focus on local business, through buy-local initiatives, for example, depend on ongoing support from government or philanthropy. The entire practice of economic development has become ineffective and unaffordable and is in need of a makeover. The Local Economy Solution suggests an alternative approach in which states and cities nurture a new generation of special kinds of businesses that help local businesses grow. These cutting-edge companies, which Shuman calls “pollinator businesses,” are creating jobs and the conditions for future economic growth, and doing so in self-financing ways. Pollinator businesses are especially important to communities that are struggling to lift themselves up in a period of economic austerity, when municipal budgets are being slashed. They also promote locally owned businesses that increase local self-reliance and evince high labor and environmental standards. The book includes nearly two dozen case studies of successful pollinator businesses that are creatively facilitating business and neighborhood improvements, entrepreneurship, local purchasing, local investing, and profitable business partnerships. Examples include Main Street Genome (which provides invaluable data to improve local business performance), Supportland (which is developing a powerful loyalty card for local businesses), and Fledge (a business accelerator that finances itself through royalty payments). It also shows how the right kinds of public policy can encourage the spread of pollinator businesses at virtually no cost.
Author: Michael Shuman Publisher: Chelsea Green Publishing ISBN: 1603585761 Category : Business & Economics Languages : en Pages : 250
Book Description
Reinventing economic development as if small business mattered In cities and towns across the nation, economic development is at a crossroads. A growing body of evidence has proven that its current cornerstone—incentives to attract and retain large, globally mobile businesses—is a dead end. Even those programs that focus on local business, through buy-local initiatives, for example, depend on ongoing support from government or philanthropy. The entire practice of economic development has become ineffective and unaffordable and is in need of a makeover. The Local Economy Solution suggests an alternative approach in which states and cities nurture a new generation of special kinds of businesses that help local businesses grow. These cutting-edge companies, which Shuman calls “pollinator businesses,” are creating jobs and the conditions for future economic growth, and doing so in self-financing ways. Pollinator businesses are especially important to communities that are struggling to lift themselves up in a period of economic austerity, when municipal budgets are being slashed. They also promote locally owned businesses that increase local self-reliance and evince high labor and environmental standards. The book includes nearly two dozen case studies of successful pollinator businesses that are creatively facilitating business and neighborhood improvements, entrepreneurship, local purchasing, local investing, and profitable business partnerships. Examples include Main Street Genome (which provides invaluable data to improve local business performance), Supportland (which is developing a powerful loyalty card for local businesses), and Fledge (a business accelerator that finances itself through royalty payments). It also shows how the right kinds of public policy can encourage the spread of pollinator businesses at virtually no cost.
Author: University of Massachusetts at Amherst. Office of Budgeting and Institutional Studies Publisher: ISBN: Category : Community and college Languages : en Pages : 12
Author: Shiri M. Breznitz Publisher: Stanford University Press ISBN: 0804791929 Category : Business & Economics Languages : en Pages : 200
Book Description
Today, universities around the world find themselves going beyond the traditional roles of research and teaching to drive the development of local economies through collaborations with industry. At a time when regions with universities are seeking best practices among their peers, Shiri M. Breznitz argues against the notion that one university's successful technology transfer model can be easily transported to another. Rather, the impact that a university can have on its local economy must be understood in terms of its idiosyncratic internal mechanisms, as well as the state and regional markets within which it operates. To illustrate her argument, Breznitz undertakes a comparative analysis of two universities, Yale and Cambridge, and the different outcomes of their attempts at technology commercialization in biotech. By contrasting these two universities—their unique policies, organizational structure, institutional culture, and location within distinct national polities—she makes a powerful case for the idea that technology transfer is dependent on highly variable historical and environmental factors. Breznitz highlights key features to weigh and engage in developing future university and economic development policies that are tailor-made for their contexts.
Author: Katharine G. Abraham Publisher: University of Chicago Press ISBN: 022680125X Category : Business & Economics Languages : en Pages : 502
Book Description
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.
Author: Rosabeth Moss Kanter Publisher: Simon and Schuster ISBN: 0684825228 Category : Business & Economics Languages : en Pages : 420
Book Description
Shows how to turn globalization into opportunity--to grow new businesses, create new jobs, revitalize regions, and develop international cities of the future.
Author: Michael Shuman
Author: Michael Shuman
Author: University of Massachusetts at Amherst. Office of Budgeting and Institutional Studies
Author: John Caffrey
Author: Shiri M. Breznitz
Author: Soonmahn Park
Author: Nolin Masih
Author: Katharine G. Abraham
Author: Mary E. Edwards
Author: Raymond Grann Lloyd
Author: Rosabeth Moss Kanter