贵州财经大学学报››2020››Issue (01): 9-20.

• 宏观经济 •上一篇下一篇

中国城市高技能人口数量的时空演变——宏观规律和微观证据

李琦1, 严功翠2

  1. 1. 上海交通大学, 上海 200240;
    2. 华东理工大学, 上海 200237
  • 收稿日期:2018-09-06出版日期:2020-01-15发布日期:2020-01-15
  • 作者简介:李琦(1984-),女,山东淄博人,上海交通大学材料学院讲师,研究方向为教育经济;严功翠(1977-),女,上海人,华东理工大学奥利弗·哈特合同与治理研究中心研究员,研究领域为城市经济学和实验经济学。
  • 基金资助:
    国家自然科学基金青年项目"户籍制约下的消费空间错配:动机、影响和福利分"(项目批准号:71803065)

The Evolution of Human Capital Distribution across City in China: —Patterns and Determinants

LI Qi1, YAN Gong-cui2

  1. 1. Shanghai Jiao Tong University, Shanghai 200240, China;
    2. East China University of Science and Technology, Shanghai 200237, China
  • Received:2018-09-06Online:2020-01-15Published:2020-01-15

摘要:基于中国2010年人口普查数据分析发现,一个城市距离三大港口越近则该城市的高技能人口数量越多。进一步分析显示,一个城市距离三大港口越近,则该城市在2000到2010年间高技能人口的增长率也越高。从经济因素、非经济因素和迁移成本三个方面进而考察影响个体城市选择的因素,分析结果表明:城市工资、房价和环境污染会影响个体的城市选择行为。利用上海高校毕业生的就业城市选择行为进一步验证非制度性迁移成本的影响,使用条件Logit模型估计发现,毕业生倾向于到距离上海更近的城市或距离生源地省份更近的城市工作;异质性分析结果显示,博士生对城市的平均工资最不敏感,对就业城市到生源地省份的距离则最为敏感。

关键词:人力资本,高技能人才,人才政策,房价,公共服务,迁移成本,距离,条件Logit模型

Abstract:This paper investigates the patterns and determinants of human capital distribution across cities in China. Using the population census data in 2010, we firstly discover the facts that the number of high skilled labourer decreases with the distance to the three major seaports. The growth of high skilled workers has the similar patterns. Secondly, we review and study the determinants of location choices in terms of economic facts, non-economic facts and moving costs. We use the location choice behavior of graduate students to study the role of non-institutional moving costs. The results based on the Conditional Logit Model shows that the graduates are more likely to work in cities near their hometown provinces and the cities where the graduate schools locate. The PHD graduates have higher elasticity to distance. The above conclusions give strong policy implication for the local governments.

Key words:human capital,housing price, public service,moving cost,distance,conditional logit model

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