09
Apr
Can NGO’s Supervision Promote Policy Implementation of Local Governments—Evidence From A Field Experiment in China
Speaker: LIU Mengdi, School of Environment, Nanjing University
Moderator: ZOU Jingxian, National Academy of Development and Strategy, RUC (NADS)
Time: April 17, 2019 (Wednesday) 14:00-15:30
Venue: Meeting Room 815, Chongde Building West Wing (Keyan Building Block A)
Abstract:
Social organizations, as an organic part in national governance system and governance modernization, serves as a major body and supporter of social governance. The report of 19th CPC National Congress proposed the objective of constructing an environmental governance system which is leaded by government, operated by enterprises and participated by both social organizations and the public. Can participation of NGO promote policy implementation of local governments? To answer this question, researchers designed a nationwide field experiment. They chose and assessed 50 cities in China since 2014 using the Pollution Information Transparency Index (PITI) developed by Institute of Public and Environmental Affairs (IPE). For three years in a row, researchers have provided to public the assessment and rankings of 25 randomly chosen cities among all, with the rest served as the control group. This research found that encouraging NGO to participate in environmental governance can effectively promote policy implementation of local governments.
Speaker Profile:
LIU Mengdi, PhD candidate at School of Environment, Nanjing University and visiting student of Department of Economics, University of Arizona. Her research fields include environmental economy and governance. Her research during PhD period were published in many international economical and political journals of high-level such as American Journal of Political Science (AJPS), Journal of Environmental Economics and Management (JEEM), Journal of Regulatory Economics (JRE) and Environmental Politics. Her cooperative project on environmental regulation and enterprise competitiveness was funded by the National Science Foundation (NSF) in 2018.