Knowledge-Driven Governance
The Role of Experts and Scholars in Combating Desertification and Other Dilemmas of Collective Action
This book explores a new model for addressing the central issue of environmental and other collective actions. An alternative to the classical models: central authority, privatization, and self-governance, it has provisionally been named expert and scholar-based- or knowledge-driven governance. The book also identifies seven working rules (or design principles) for successful knowledge-driven governance, and argues that the more strictly these rules are abided by, the more successful this model of governance becomes. Lastly, it demonstrates that in addition to Lindblom's observed intellectually guided society and preference-guided/volition-gu…
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Produktdetails
- ISBN: 978-981-1329-10-4
- EAN: 9789811329104
- Produktnummer: 29380769
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Plattform: PDF
- Masse: 5'101 KB
Über den Autor
Lihua Yang is a professor in the School of Government at Peking University, and a professor in the School of Public Administration and Director of the Workshop for Environmental Governance and Sustainability Science at Beihang University. He graduated from Peking University (1995-2002) and Indiana University (2004-2006) with two bachelor degrees and two master degrees. He got his doctorate in the School of Public Affairs, Arizona State University in May, 2009. His dissertation was awarded the Best Ph.D. Dissertation in Public Policy and Management in Asia by the Association of Public Policy Analysis and Management. His research interests include environmental governance and policy, public administration theory, public governance, research methods, and institutional economics. He has authored seven books and over 100 journal articles on environmental management, environmental science and policy, environmental governance and policy, public administration, collective action, collaborative governance, institutional analysis, conflict resolution, and research methods.
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