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Mr. Yusuf Neggers
Sustainability Science Program
Kennedy School of Government
79 JFK Street
Cambridge, MA 02138 USA
Office: 502 Rubenstein Building
Tel: (1) 617-496-0739
Group affiliation: Giorgio Ruffolo Doctoral Research Fellow in Sustainability Science
Yusuf Neggers is a Giorgio Ruffolo Doctoral Research Fellow in the Sustainability Science Program and a doctoral candidate in the Public Policy Program at Harvard's Kennedy School of Government. His primary fields of interest are political economy and development economics. His research examines the adoption of electronic procurement for public works projects in India and Indonesia and the impacts of increased transparency in U.S. state legislatures. He is contributing to collaborative work with the Initiative on Public-Private Partnerships to Promote Sustainable Development in India led by Professor Rohini Pande. Yusuf received a BA in Mathematical Economic Analysis from Rice University (2006) and an MSc in International Political Economy from the London School of Economics (2007). Before beginning his graduate studies at Harvard, he worked as a research analyst at the Jameel Poverty Action Lab at MIT. He is the recipient of a National Science Foundation Graduate Research Fellowship (2010) and a Harvard Kennedy School Cultural Bridge Fellowship (2011). His faculty host is Rohini Pande.
The impacts of joint forest management in India
The devolution of forest management rights to local communities is often seen as a means of remedying the failures associated with what is argued to be poor centralized management of forests by national and state governments. This work aims to examine the impacts in India of the Joint Forest Management (JFM) program, under which communities assume duties of local forest management from state forest departments, on deforestation as well as economic outcomes in the member villages. From 1990-2000, JFM was restricted to "degraded" forests only. This rule provides a continuous characteristic of forest areas with a threshold across which there is discontinuous increase in the probability of being assigned to JFM, allowing for a fuzzy regression discontinuity approach.