Details
China's Labor Market in the Transition
The Evolution From Segmentation to Integration
CHF 142.00 |
|
Verlag: | Palgrave Macmillan |
Format: | |
Veröffentl.: | 22.07.2024 |
ISBN/EAN: | 9789819991600 |
Sprache: | englisch |
Anzahl Seiten: | 300 |
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Beschreibungen
This book explores the dynamics of the Chinese labor market, the largest in the world. The sheer scale of rural laborers living in cities is the ultimate engine driving the fastest urbanization the world has ever seen. Today, the country faces a series of new challenges as it tries to address problems of unemployment and under-employment. These include population ageing, automation, the increasing use of AI on the factory floor and other workplaces and Chinese manufacturers’ move up the value chain. The book presents an empirically rich and analytically rigorous account of how these challenges might be met. It will be of interest to labor economists, scholars of Chinese manufacturing, and researchers of the Chinese economy.
<p>.- Chapter One Introduction.<br>
.- Chapter Two The Evolution of the Labor Market: A Review of Theoretical and Empirical Studies on Segmentation and Integration.<br>
.- Chapter Three The Evolution of China’s Labor Market from Segmentation to Integration: An Outline and the Reality.<br>
.- Chapter Four A Theoretical Analysis of the Evolution of China’s Labor Market from Segmentation to Integration: An Expansion the Classic MP Model.<br>
.- Chapter Five An Empirical Study on the Evolution of China’s Urban Labor Market Segmentation: Confirmation by Data from Various Sources.<br>
.- Chapter Six Conclusions and Areas for Further Research.</p>
.- Chapter Two The Evolution of the Labor Market: A Review of Theoretical and Empirical Studies on Segmentation and Integration.<br>
.- Chapter Three The Evolution of China’s Labor Market from Segmentation to Integration: An Outline and the Reality.<br>
.- Chapter Four A Theoretical Analysis of the Evolution of China’s Labor Market from Segmentation to Integration: An Expansion the Classic MP Model.<br>
.- Chapter Five An Empirical Study on the Evolution of China’s Urban Labor Market Segmentation: Confirmation by Data from Various Sources.<br>
.- Chapter Six Conclusions and Areas for Further Research.</p>
<p><strong>Chen Ying</strong> is a Researcher at the School of Economics, Yunnan University. Chen was a visiting scholar from February 2017 to January 2018 in the economics department of the University of Oklahoma. Her research focuses on the labor market, development economics and microeconometrics.</p>
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<p>This book explores the dynamics of the Chinese labor market, the largest in the world. The sheer scale of rural laborers living in cities is the ultimate engine driving the fastest urbanization the world has ever seen. Today, the country faces a series of new challenges as it tries to address problems of unemployment and under-employment. These include population ageing, automation, the increasing use of AI on the factory floor and other workplaces and Chinese manufacturers’ move up the value chain. The book presents an empirically rich and analytically rigorous account of how these challenges might be met. It will be of interest to labor economists, scholars of Chinese manufacturing, and researchers of the Chinese economy.</p>
<p><strong>Chen Ying</strong> is a Researcher at the School of Economics, Yunnan University. Chen was a visiting scholar from February 2017 to January 2018 in the economics department of the University of Oklahoma. Her research focuses on the labor market, development economics and microeconometrics.</p>
<p><strong>Chen Ying</strong> is a Researcher at the School of Economics, Yunnan University. Chen was a visiting scholar from February 2017 to January 2018 in the economics department of the University of Oklahoma. Her research focuses on the labor market, development economics and microeconometrics.</p>
Explores the dynamics of the Chinese labor market Projects the impact of an aging population on the Chinese economy Explores the role of automation in the Chinese labor market
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