Why the Garden Club Couldn’t Save Youngstown : the Transformation of the Rust Belt
SAFFORD Sean - (Auteur)
Harvard University Press
In this book, Sean Safford compares the recent history of Allentown, Pennsylvania, with that of Youngstown, Ohio. Allentown has seen a noticeable rebound over the course of the past twenty years. Facing a collapse of its steel-making firms, its economy has reinvented itself by transforming existing companies, building an entrepreneurial sector, and attracting inward investment. Youngstown was similar to Allentown in its industrial history, the composition of its labor force, and other important variables, and yet instead of adapting in the face of acute economic crisis, it fell into a mean race to the bottom. Challenging various theoretical perspectives on regional socioeconomic change, Why the Garden Club Couldn’t Save Youngstown argues that the structure of social networks among the cities’ economic, political, and civic leaders account for the divergent trajectories of post-industrial regions. It offers a probing historical explanation for the decline, fall, and unlikely rejuvenation of the Rust Belt. Emphasizing the power of social networks to shape action, determine access to and control over information and resources, define the contexts in which problems are viewed, and enable collective action in the face of externally generated crises, this book points toward present-day policy prescriptions for the ongoing plight of mature industrial regions in the U.S. and abroad (Book jacket).
1. Introduction 2. The Empirical Puzzle: The Post-Industrial Divergence of Allentown and Youngstown 3. Historical Antecedents: The Emergence and Divergence of Regional Social Structures, 1743–1945 4. Two Critical Choices: Invoking Social Structure in Crises 5. How Allentown Got Its Groove Back: Rebuilding Social Infrastructure in the Wake of Economic Crisis 6. Conclusions and Implications Appendix A: List of Interviewees Appendix B: Chronology of Major Economic and Social Events, 1743–2003 Notes References Index