Data and Code for: Special Economic Zones and Human Capital Investment: 30 Years of Evidence from China

Principal Investigator(s): View help for Principal Investigator(s) Fangwen Lu, Renmin University of China; Weizeng Sun, Central University of Finance and Economics; Jianfeng Wu, Fudan University

Version: View help for Version V1

Name	File Type	Size	Last Modified
data			09/09/2022 04:12:AM
programs			11/02/2022 10:28:AM
raw			11/18/2022 03:55:AM
results			09/09/2022 02:59:AM
README.pdf	application/pdf	247.5 KB	11/17/2022 10:55:PM

Project Citation:

Lu, Fangwen, Sun, Weizeng, and Wu, Jianfeng. Data and Code for: Special Economic Zones and Human Capital Investment: 30 Years of Evidence from China. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-07-19. https://doi.org/10.3886/E167241V1

Project Description

Summary: By exploiting the large quantity and rich variety of special economic zones (SEZs) in China, this study investigates how such zones affect human capital investment. Results show that SEZs significantly increase the local high school enrollment rate, but the impact varies across zone types: technology-oriented zones encourage education, while export-led zones discourage it. The increased job opportunities and wage premiums inside SEZs for employees with high school education increase high school enrollment, while such opportunities and wages for employees with middle school education decrease enrollment. A very small portion of the impact, if any, can be attributed to increased income.

Scope of Project

Subject Terms: Special economic zone; income; job opportunity; wage premium; high school enrollment

JEL Classification:
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      O14 Industrialization; Manufacturing and Service Industries; Choice of Technology
      O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration

Geographic Coverage: China

Time Period(s): 1980 – 2009

Data Type(s): administrative records data; census/enumeration data; survey data

Methodology

Unit(s) of Observation: county

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Published Versions

V1 [2023-07-19]

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DDI 2.5

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