- ホーム
- > 洋書
- > 英文書
- > Business / Economics
Full Description
The contributors to this book utilize the Public Choice approach to interpret, analyze, and at times even predict policy outcomes from a variety of contexts around the world. Applications of Public Choice Theory to Public Policy emphasizes how much can be learned from studying real people in the process of navigating political processes and institutional change. The volume directly addresses what the Public Choice approach is, its relationship to policy analysis, and how both can be improved through the incorporation of a diversity of theoretical and empirical strategies. After establishing these strategies, Applications of Public Choice Theory to Public Policy puts this into practice to address issues such as educational reform in Ghana, policy responses to the COVID-19 pandemic, anti-trust policy, the political role of the Supreme Court in the U.S. and high courts in Latin America, the impact of taking a precautionary approach to energy policy, regulatory burdens as a form of time tax, and the looming uncertainty over how artificial intelligence will be governed as it continues to have an ever greater impact on our lives.
Contents
Chapter 1: The Importance of Evidence Based Narratives in Public Choice Theory
Chapter 2: Using Public Choice to Understand Historical Inequity in Disaster Planning and Response
Chapter 3: Unemployment Insurance Trust Funds Under Pressure: Incentives, Interventions, and Insolvency
Chapter 4: Why Were There No Human Challenge Trials For COVID-19 Vaccine Development?
Chapter 5: Navigating the Path to Educational Progress: A Public Choice Perspective on Ghana's Reforms
Chapter 6: Employment Protections and Firm Size Distortion: The Role of Unions
Chapter 7: Changing Antitrust Law
Chapter 8: Public Choice v. Policy: The Implications of Public Choice on the United States Supreme Court
Chapter 9: Can Public Choice Theory Explain the Judicialization of Politics in Brazil?
Chapter 10: Time Taxes and Avoidable Structural Injustice
Chapter 11: AI and Governance: Leading the Future Together
