技术进步对收入不平等影响的实证研究

发布时间：2018-01-10 15:16

本文关键词：技术进步对收入不平等影响的实证研究　出处：《华中科技大学》2015年硕士论文　论文类型：学位论文

【摘要】：中国经济进入新常态,通过技术进步提升劳动生产率以保持经济稳定增长的必要性越来越高,但技术进步带来的收入不平等现象同样不容忽视。收入不平等会导致社会分化、贫富阶层对立和资源配置失衡等后果,是不少社会、经济、甚至政治问题的根本原因。研究技术进步对收入不平等的影响机制,有助于更科学有效地处理经济发展的过程中遇到的公平和效率的问题,有助于保持社会经济的稳定和活力。收入不平等的问题一直是学者们研究的热点,现有文献大多利用技能溢价衡量收入不平等,只有很少的文献研究了基尼系数与技术进步和创新之间的关系,但只限于回归分析,为能提出理论模型。本文利用基尼系数衡量收入不平等,在现有研究的基础上从理论上探究了技术进步对收入不平等的影响,推导了技术进步和基尼系数的关系式,利用2005至2012年中国安徽、重庆、福建、湖北等19个省的城镇相关数据,建立了时间固定效应面板回归模型。运用R软件(版本3.1.1)回归发现技术进步会提高基尼系数,其他影响基尼系数的指标有:失业率,与基尼系数呈正相关;城镇人口密度,与基尼系数呈负相关;人均GDP,与基尼系数呈正相关,但显著性水平不高,需要更深入研究。本文提出了深化收入分配制度改革,加大人力资本投资,积极推进城市化进程的政策建议。
[Abstract]:As China's economy enters the new normal, the necessity of increasing labor productivity through technological progress in order to maintain stable economic growth is becoming more and more important. However, the phenomenon of income inequality brought by technological progress can not be ignored. Income inequality will lead to social differentiation, the confrontation between the rich and the poor and the imbalance of resource allocation, and so on. It is a lot of society and economy. Even the root causes of political problems. Studying the mechanism of technological progress's impact on income inequality can help to deal more scientifically and effectively with the issues of equity and efficiency encountered in the process of economic development. The issue of income inequality has been a hot topic for scholars. Most of the existing literature uses skill premium to measure income inequality. Only a few literatures have studied the relationship between Gini coefficient and technological progress and innovation, but only in regression analysis, in order to put forward a theoretical model. This paper uses Gini coefficient to measure income inequality. On the basis of existing research, this paper theoretically explores the impact of technological progress on income inequality, deduces the relationship between technological progress and Gini coefficient, and uses 2005 to 2012 in Anhui, Chongqing, Fujian. The time fixed effect panel regression model was established in 19 provinces of Hubei province. Using R software (version 3.1.1), we found that technological progress would improve Gini coefficient. Other indicators affecting Gini coefficient are: unemployment rate, positive correlation with Gini coefficient; The density of urban population is negatively correlated with Gini coefficient; The per capita GDP is positively correlated with the Gini coefficient, but the significant level is not high, which needs to be further studied. This paper proposes to deepen the reform of income distribution system and increase the investment of human capital. Policy recommendations for actively promoting the process of urbanization.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F124.3;F124.7

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