Joint SOSC/ECON Seminar - Migration Costs, Sorting, and the Agricultural Productivity Gap

10:30am - 12:00pm
Online Via Zoom

Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標:支持以下联合国可持续发展目标:

We use a unique panel dataset and a policy experiment as an instrument to estimate the impact of policy-induced migration cost reductions on rural-urban migration and the associated increase in labor earnings for migrant workers in China. Our estimation shows that the observed labor earnings gap between agriculture and non-agriculture is mainly due to large migration costs and a large underlying productivity difference between the two sectors. Sorting plays only a minor role in accounting for the observed sectoral earnings gap. We also structurally estimate a general equilibrium Roy model to quantify the effects of reducing migration costs. A policy reform that sets the hukou liberalization index in all regions of China to the level of the most liberal region would reduce the observed agricultural productivity gap by 23%, increase the migrant share by 6%, and increase the aggregate productivity by 2%.

講者/ 表演者:
Prof Naijia GUO
Assistant Professor, Dept of Economics, The Chinese University of Hong Kong

Naijia Guo is currently an assistant professor at the Chinese University of Hong Kong (CUHK). Before joining CUHK, she received a Ph.D. in economics from the University of Pennsylvania in 2014 and a B.A. in finance from Peking University in 2009. Her primary research fields are labor economics and family economics, and she specializes in structural labor. Naijia's research covers a wide range of topics, including education, wages, unemployment, migration, and intra-household decisions. Her papers have been published in the International Economic Review, the Economic Journal, Quantitative Economics, the Journal of Human Resources, and the Journal of Comparative Economics.

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