检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:靳景玉[1] 陈毕星 JIN Jing-yu;CHEN Bi-xing(Chongqing Technology and Business University,Chongqing,400060,China)
出 处:《福建金融管理干部学院学报》2024年第2期39-53,共15页Journal of Fujian Institute of Financial Administrators
摘 要:数字经济的技术革命促使性别工资差距呈现新变化,但该变化的走势和影响机制尚需明确。本文从技能偏向型技术进步入手,以Welch的“大脑—肌肉”两要素模型为基础勾勒数字经济与性别工资差距的理论模型,探讨城市数字经济发展对性别工资差距的影响机制。研究结果显示,拥有技能偏向型技术进步特征的新兴技术是有偏的,数字经济发展能提高知识技能的相对价格,从而使女性劳动力得到溢价的优势,最终缩小了性别工资差距。且这种性别工资差距收敛在中高劳动力技能水平、低年龄段(16-30岁)、第三产业以及网络对工作很重要的组别中更为显著。上述研究结果在工具变量法和稳健性检验后仍成立。The technological revolution of the digital economy has introduced new dynamics to the gender wage gap,although the trends and mechanisms of this change still need clarification.This paper begins by examining skill-biased technological progress and outlines a theoretical model of the digital economy and gender wage gap based on Welch's"brain-muscle"two-factor model.It explores the mechanisms through which urban digital economic development impacts the gender wage gap.The research findings indicate that emerging technologies characterized by skill-biased technological progress are indeed biased.The de-velopment of the digital economy increases the relative value of knowledge skills,thereby giving female la-bor a premium advantage,ultimately narrowing the gender wage gap.This convergence in the gender wage gap is more pronounced among groups with medium to high labor skill levels,younger age groups(16-30years old),the tertiary sector,and occupations where the internet is crucial for work.These findings re-main robust after applying instrumental variable methods and robustness tests.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.216.93.197