讲座主题

Land-Use   Regulation and Economic Development: Evidence from the Farmland Red Line   Policy in China.

现场负责人

邓建鹏

联系电话

65907206

举办时间

1月15日14：00-15：30

举办地点

十大赌博正规信誉网址武东路校区526

活动参与人数规模

15

联络人及联系电话

刘益如

65907868

主讲人姓名、单位、职称/职务及简历

Yue Yu,   Columbia University, Ph.D. candidate

讲座内容摘要（会议议程）

Many countries have land-use regulations to preserve   farmland for food security reasons. This paper shows that such regulations   can distort economic activity across sectors and locations at a substantial   cost to aggregate welfare in developing countries during urbanization. This   paper studies a major policy restricting farm-to-urban land conversion in   China - the Farmland Red Line Policy – to provide causal evidence on the   impact of land-use regulation on local development measured by GDP and   population growth. The policy imposes a barrier to urban land development,   the strength of which depends on exogenous local geographical features. I   show that a greater barrier significantly reduces urban land supply, lowers   GDP, and decreases population. To understand the aggregate impact of the   policy, I develop a quantitative spatial equilibrium model that features   endogenous land-use decisions. According to the model, the policy causes an   excess supply of farmland and an under-supply of urban land, and the extent   of such land misallocation varies across locations due to their local   geographical features. In the constrained equilibrium, the spatial and   sectoral mobility of workers implies that land misallocation leads to labor   misallocation. I estimate that the welfare of workers would have been 6%   higher in 2010 if the policy had not been implemented. I also show that a   cap-and-trade system that achieved the same aggregate level of farmland would   have been far less costly in terms of welfare. The results suggest that   fast-growing economies in developing countries need to design land-use   policies carefully, as the welfare costs of poorly designed policies can be   substantial.

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