自然资源学报 ›› 2021, Vol. 36 ›› Issue (3): 606-617.doi: 10.31497/zrzyxb.20210306

• 其他研究论文 • 上一篇    下一篇

中国资源型城市转型对劳动力需求的影响

段存儒(), 曾贤刚()   

  1. 中国人民大学环境学院,北京 100872
  • 收稿日期:2019-11-08 修回日期:2020-02-28 出版日期:2021-03-28 发布日期:2021-05-28
  • 通讯作者: 曾贤刚 E-mail:duancunru@ruc.edu.cn;zengxg@ruc.edu.cn
  • 作者简介:段存儒(1994- ),男,山东济南人,博士研究生,研究方向为资源与环境经济学。E-mail: duancunru@ruc.edu.cn
  • 基金资助:
    中国人民大学“中央高校建设世界一流大学(学科)和特色发展引导专项资金”项目(21XNL006)

The effect of transformation of resource-based cities on labor demand in China

DUAN Cun-ru(), ZENG Xian-gang()   

  1. School of Environmental Natural Resources, Renmin University of China, Beijing 100872, China
  • Received:2019-11-08 Revised:2020-02-28 Online:2021-03-28 Published:2021-05-28
  • Contact: ZENG Xian-gang E-mail:duancunru@ruc.edu.cn;zengxg@ruc.edu.cn

摘要:

资源部门的自强机制导致城市人力资本集中于资源型产业,进而造成资源型城市中低技能劳动者增多,使新兴产业对当地劳动力需求下降。因此,资源型城市转型可能会导致城市面临失业问题。使用倾向得分匹配与双重差分结合的方法,探讨了《全国资源型城市可持续发展规划(2013—2020年)》对资源型城市劳动力需求的影响。为验证该影响的内在机制,分别根据教育水平和制造业占比对城市进行三重差分回归。结果显示:城市转型导致资源型城市劳动力需求下降6.9%;成熟型和衰退型城市的转型是导致需求下降的主要原因;检验发现,教育水平更高或制造业占比更高的城市受转型政策的影响更小,从而可以从侧面证明资源部门的自强机制使新兴产业对当地劳动力需求下降。

关键词: 资源型城市转型, 劳动力需求, 产业结构, 倾向得分匹配, 双重差分

Abstract:

Resource industries can lead to over concentration of human capital within resource cities. Emerging industries thus can only find low-skilled employees when entering the city, which may cause labor demand reduction. This study examines whether transformation of resource-based cities affects labor demand. We investigate the impacts of National Plan for Sustainable Development of Resource-based Cities (2013-2020) in China. The impacts of this plan are estimated by combining propensity score matching with the difference-in-differences approach. We also use DDD method based on the cities' education level and rate of manufacture industry to find out the mechanism of the effects. We found that the labor demand of resource-based cities decreased by 6.9% due to urban transformation. Our estimation results also reveal that mature cities and declining cities have the main impacts on labor demand reduction. And the results show that cities with high education level and high rate of manufacture industry are less affected, which proves that the self-improvement mechanism of the resource sectors reduces the local labor demand.

Key words: transformation of resource-based cities, labor demand, industrial structure, propensity score matching, difference-in-differences