The Effect of Import Competition on Labor Income Inequality Through Firm and Worker Heterogeneity in the Japanese Manufacturing Sector

2021 ◽  
pp. 101076
Author(s):  
Masahiro Endoh
Keyword(s):  
Income Inequality ◽  
Manufacturing Sector ◽  
Import Competition ◽  
Labor Income ◽  
Worker Heterogeneity

Road infrastructure and the share of labor income: Evidence from China’s manufacturing sector

2017 ◽  
Vol 41 (4) ◽  
pp. 513-523 ◽  
Author(s):  
Xun Zhang ◽  
Guanghua Wan ◽  
Xu Wang
Keyword(s):  
Manufacturing Sector ◽  
Labor Income ◽  
Road Infrastructure

scholarly journals Import Competition in the Manufacturing Sector in Peru: Its Impact on Informality and Wages

2019 ◽  
Author(s):  
Martha Denisse Pierola ◽  
Dennis Sánchez-Navarro
Keyword(s):  
Manufacturing Sector ◽  
Import Competition

scholarly journals Monetary Policy and Inequality under Labor Market Frictions and Capital-Skill Complementarity

2021 ◽  
Vol 13 (2) ◽  
pp. 292-332
Author(s):  
Juan J. Dolado ◽  
Gergő Motyovszki ◽  
Evi Pappa
Keyword(s):  
Monetary Policy ◽  
Labor Market ◽  
Income Inequality ◽  
New Keynesian ◽  
Labor Income ◽  
Skilled Workers ◽  
Investment Demand ◽  
Multiplier Effect ◽  
Distributional Consequences ◽  
Amplification Mechanism

We provide a new channel through which monetary policy has distributional consequences at business cycle frequencies. We show that an unexpected monetary easing increases labor income inequality between high-skilled and less-skilled workers. To rationalize these findings, we build a New Keynesian DSGE model with asymmetric search-and-matching (SAM) frictions and capital-skill complementarity (CSC) in production. We show that CSC on its own introduces a dynamic demand amplification mechanism: the increase in high-skilled employment after a monetary expansion makes complementary capital more productive, encouraging a further rise in investment demand and creating a multiplier effect. SAM asymmetries magnify this channel. (JEL E32, E52, E24, E12, E25, J63)

scholarly journals Working for Less: Income Inequality and the Diminishing Share of Labor in China’s National Wealth

2017 ◽  
Vol 13 (6) ◽  
pp. 81
Author(s):  
Songtao Wang ◽  
Tristan Kenderdine ◽  
Zhen Qi
Keyword(s):  
Income Inequality ◽  
Gini Coefficient ◽  
Labor Income ◽  
Income Share ◽  
Income Gap ◽  
National Wealth ◽  
Labor's Share

This paper demystifies variation in labor’s share of national labor income in China from the perspective of the income gap. We extend the gross national labor income function by introducing a Gini coefficient to support our argument that the share of gross national labor income decreases with an increasing Gini coefficient. The hypotheses are tested using provincial data from 1996 to 2010: (1) the Gini coefficient’s ‘inverted U’ shape partially contributes to the U-shaped evolution of the labor income-share; (2) China’s 15 per cent decline in the labor income share can be explained by the widening income gap during that time. 

THE DRIVERS OF LABOR INCOME INEQUALITY — A LITERATURE REVIEW

2013 ◽  
Vol 04 (01) ◽  
pp. 1350004 ◽  
Author(s):  
RAFAL KIERZENKOWSKI ◽  
ISABELL KOSKE
Keyword(s):  
Labor Market ◽  
Income Inequality ◽  
Literature Review ◽  
General Trend ◽  
Labor Income ◽  
Labor Market Policies ◽  
Biased Technological Change ◽  
Key Drivers ◽  
Main Determinants

Despite a general trend of increasing labor income inequality, there have been differences in the timing, intensity and even direction of these changes across OECD countries. These stylized facts have led to numerous studies about the main determinants of labor income inequality and, as a result, a significant revision of the previous consensus about the key drivers. The most researched channels include skill-biased technological change, international trade, immigration, education as well as the role of labor market policies and institutions.

Labor income inequalities and tourism development in Argentina: A regional approach

2019 ◽  
Vol 25 (8) ◽  
pp. 1265-1285
Author(s):  
Natalia Porto ◽  
Natalia Espinola
Keyword(s):  
Income Inequality ◽  
Tourism Development ◽  
Labor Income ◽  
Spatial Error Model ◽  
Spatial Error ◽  
Equal Distribution ◽  
Income Inequalities ◽  
Resource Endowment ◽  
Water Based ◽  
The Relationship

This study aims to explore the regional wages inequalities and its relationship with the development of tourism and amenities endowment. We estimate a spatial error model for 29 metropolitan agglomerations in Argentina during the period 2004–2015. Four indices of touristic amenities that interact with tourism employment—as a proxy for tourism development—in labor income inequality estimations are used. Results show that the labor income distribution depends on the natural resources endowment, as well as the development of tourism in the agglomerates. A more equal distribution of labor income is observed in the agglomerates that have a greater presence of water-based resources, while the relationship is inverse in agglomerates with a greater presence of land-based resources. Also, the tourism employment has an unequal effect on labor income. In conclusion, the study shows the relevance of including aspects of regional development and resource endowment in the analysis of income inequality.

Introduction: Social Disruption, Legacy Barriers, and Innovation Challenges in U.S. Manufacturing

2018 ◽  
Author(s):  
William B. Bonvillian ◽  
Peter L. Singer
Keyword(s):  
United States ◽  
Income Inequality ◽  
Manufacturing Sector ◽  
The United States ◽  
First Century ◽  
Advanced Manufacturing ◽  
State Governments ◽  
Social Disruption ◽  
The Great Recession

This introductory chapter describes how the manufacturing sector in the United States experienced significant disruption in the first decade of the twenty-first century. The number of manufacturing jobs in the United States declined by 5.8 million between 2000 and 2010. This economic disruption resulted in growing social disruption and income inequality. Given these new realities, an effort across industry, federal and state governments, and universities materialized in the wake of the Great Recession. This effort sought to bring strong innovation back to U.S. manufacturing. Known under the broad brand of “advanced manufacturing,” it is the focus of this book. There are five basic models for the dynamics that drive innovation in different settings: the innovation pipeline, induced innovation, the extended pipeline, manufacturing-led innovation, and innovation organization. These provide a framework for approaching the twin issues in U.S. manufacturing of furthering innovation and creating jobs.

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