机器人的应用可以缩小性别工资差距吗——基于CFPS2018的经验证据  

Can Robot Application Narrow Gender Wage Gap——Based on the Empirical Evidence of CFPS 2018

作　　者：李志强[1] 刘英 LI Zhi-qiang;LIU Ying(School of Statistics,Jiangxi University of Finance and Economics,Nanchang 330013,China)

机构地区：[1]江西财经大学统计学院,江西南昌330013

出　　处：《山西财经大学学报》2022年第2期91-102,共12页Journal of Shanxi University of Finance and Economics

基　　金：江西省社会科学基金项目(21GL10);江西省高校人文社会科学研究项目(TJ21101);国家自然科学基金项目(71663024);江西财经大学“青年马克思主义者培养工程”(2021112612345162)。

摘　　要：基于"资本—技能互补"假说和ALM任务模型,构建劳动和资本要素投入双嵌套CES生产函数理论模型,利用2018年中国家庭追踪调查数据考察了机器人应用对性别工资差距的影响。结果表明:(1)机器人可以促进个体工资增长,且女性工资的增长幅度大于男性,从而缩小了性别工资差距;(2)从技能水平看,机器人在教育技能中等和"软技能"较高的劳动力群体中对性别工资差距缩小的作用更为明显;(3)从市场分割看,机器人对于缩小城镇地区和机器人密集区的性别工资差距效果明显。Based on "capital-skill complementarity" hypothesis and ALM task model, this paper constructed a dual-nested CES production function theoretical model of labor and capital factor inputs. Using the data of 2018 China Family Panel Studies, the paper discussed the impact of robot applications on gender wage gap. The results showed that, robots could boost individual wages, especially women’s wage, so robot applications have narrowed gender wage gap. Besides, in terms of skill level, the narrowing effect was more significant in the labor groups with medium-level educational skills or higher-level "soft skills". From the perspective of market segmentation, robot applications have clearly exerted a narrowing effect in urban areas and robot-intensive areas.

关 键 词：机器人密度 性别工资差距 资本—技能互补 ALM任务模型 市场分割 

分 类 号：F424[经济管理—产业经济]