发展经济学workshop:Agricultural Endowment and Structural Transformation

发布日期:2022-09-21 12:00    来源:

Agricultural Endowment and Structural Transformation
(joint with Justin Yifu Lin and Haochen Zhang)

时间:2022年9月21日(周三)11:30-13:00

参与方式:线上线下同时开展

地点:线下-承泽园245;线上,腾讯会议845-9894-4759
 
主讲人:尤炜(北京大学新结构经济学研究院)
 
参与老师:(国发院)李力行,席天扬,徐化愚,于航,王轩,易君健
       (光华)张晓波
       (经院)刘冲,吴群锋,曹光宇
 
 
论文摘要:
This paper shows that higher agricultural endowment per capita could impede structural transformation out of agriculture in the presence of "labor pull" forces in the non-agricultural sector. We first show that arable land area per capita is inversely related to structural transformation out of agriculture at the sub-national level using a sample of 34 countries. Then focusing on China and exploiting the trade liberalization shock in the 1990s and 2000s as an exogenous "labor pull" force in the non-agricultural sector, we show that Chinese prefectures with more abundant agricultural endowment experienced slower growth in employment shares in the non-agricultural and manufacturing sectors during 1990-2010. We provide causal empirical evidence based on the prefecture-, firm-, and individual-level data. The mechanism is consistent with rich agricultural endowment raising the opportunity costs of labor reallocation from agriculture to non-agriculture. This result contrasts with existing literature that emphasizes the growth of agricultural productivity as a driver of structural transformation.
 
主讲人简介:
Wei You is an Assistant Professor at the Institute of New Structural Economics, Peking University. He obtained his Ph.D. in Economics from the University of California, San Diego in 2017 and was a Research Fellow at Furman Center for Real Estate and Urban Policy at New York University during 2017-2020. His research interests include urban economics, development economics, international trade and economic history. His research has been published in American Economic Journal: Applied Economics, Journal of Labor Economics, Journal of Housing Economics, and Remote Sensing.
 
 
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