创建城市与粮食安全挑战:来自中国市县合并政策的证据

IF 5.2 1区 经济学 Q1 ECONOMICS 中国经济评论 Pub Date : 2024-08-22 DOI:10.1016/j.chieco.2024.102257
Wenhui Chen , Jinhai Xu , Xiangpo Chen , Xinyan Hu
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引用次数: 0

摘要

现有文献认为城市化与粮食安全之间存在线性关系。我们利用中国通过创建城市(特别是市县合并)来促进政府主导的城市化的政策,证明了非线性关系的存在。根据使用 2000 年至 2020 年全国县级面板数据得出的时间动态结果,我们发现了一种潜在的非线性特征,即既有下降趋势,也有上升趋势,但最终都会消散。机制分析表明,市县合并会导致劳动力流动和耕地要素流失,从而对粮食安全产生负面影响。然而,该政策对区域市场的整合促进了农业质量和效率的提高。资源压力的扩大和效率的提高会产生相反的影响,并随着时间的推移而变化,最终形成一种非线性关系。对城市化和粮食安全辩论的这些见解,对全世界正在经历快速城市化的地区,尤其是发展中国家,具有重要的政策影响。
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Creating cities and food security challenge: Evidence from the city–county merger policy in China

The prevailing literature posits a linear relationship between urbanization and food security. Using a policy in China that promotes government-led urbanization through creating cities, specifically city–county merger, we show the existence of a non-linear relationship. Based on the time-dynamic results obtained using national county-level panel data from 2000 to 2020, a potential non-linear characteristic of both decreasing and increasing trends before eventually dissipating has been identified. Mechanism analysis demonstrates that the city–county merger negatively impacts food security by causing labor mobility and cultivated land factor loss. However, the policy's integration of regional markets fosters quality and efficiency improvement in agriculture. The effects of amplified resource pressure and efficiency gains have opposing impacts that vary over time, ultimately resulting in a non-linear relationship. These insights into the debate on urbanization and food security have important policy implications for regions worldwide that are experiencing rapid urbanization, particularly for developing countries.

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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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