What was the Impact of Creating Better Jobs for more People in China’s Economic Transformation? What we know and Questions for Further Investigation
Author
Abstract
Suggested Citation
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Lugo, Maria Ana & Niu, Chiyu & Yemtsov, Ruslan, 2021.
"Rural Poverty Reduction and Economic Transformation in China: A Decomposition Approach,"
SocArXiv
8rbgw, Center for Open Science.
- Lugo,Maria Ana & Niu,Chiyu & Yemtsov,Ruslan G., 2021. "Rural Poverty Reduction and Economic Transformation in China : A Decomposition Approach," Policy Research Working Paper Series 9849, The World Bank.
More about this item
Keywords
labor productivity; labor productivity growth; per capita income; marginal propensity to save; gross fixed capital formation; wage employment; rural to urban migration; negative real interest rate; female labor force participation; lower level of education; per capita income growth; share of employment; capital per worker; Labor Compensation; returns to capital; increase in labor; household consumption; rural area; capital deepening; share of wage; urban labor migration; working age population; million people; fishing industry; share of labor; household survey data; agriculture industry; gross national income; demand for service; Labor Market; Homebased Work; fixed capital investment; cost of capital; share of work; accumulation of capital; years of schooling; Home Based Work; share of woman; factor of production; increase in capital; division of labor; output per worker; investment in buildings; old age dependency; employment in industry; gross capital formation; quality of job; change in demand; economies of scale; supply of labor; purchasing power parity; lack of skill; employment in agriculture; human capital accumulation; high productivity jobs; world market share; privileges and immunity; urban youth employment; private sector wage; return to education; real gdp; labor income; labor demand; Young Workers; labor transition; consumer demand; increased demand; job opportunities; urban population; virtuous cycle; rural worker; private household; value added; household saving; productivity gain; domestic economy; merchandise export; job opportunity; labor earning; rural employment; corporate profit; new product; wage work; wage growth; new investment; older worker; age category; world economy; trend growth; factor accumulation; employed persons; industry productivity; workers benefit; dynamic component; comparative advantage; urban worker; labor supply; demographic dividend; employment share; macro data; manufactured goods; modern sector; urban wage; domestic demand; Financial Sector; education level; private investment; urban employment; new market; total consumption; Employment Change; new job; fertility estimates; domestic service; global market; private consumption; global trade; worker type; Urban Transformation; rural-urban migration; employment increase; real share; trade war; Real estate; total wage; total employment; employment type; global economy; financial repression; ppp value; direct credit; women employment; domestic consumption; agriculture sector; young woman; increased export; external agencies; skilled labor; capital stock; real capital; consumption demand; migrant population; product category; vehicle demand; internal migration; construction industry; demographic change; employment rate; average wage; productivity increase; employment elasticity; pension system; monthly wage; migrant jobs; household income; consumption increase; rural location; urban growth; urban job; consumption survey; labor condition; replacement income; creating job; elderly dependents; trade datum; data service; dependency ratio; sampling frame; rural economy; average household; registration system; urban economy; investment climate; copyright owner; employment opportunities; employment opportunity; sole responsibility; original work; public policy; wage earnings; information gap; labor regulation; agglomeration effect; predatory practice; cross-section data; labor abundance; new demand; increased supply; commercial purpose; increased returns; regression results; business incentives; wage gap; in economics; jobs diagnostic; internationally comparable; survey modules; production method; wage income; individual characteristic; new business; migrant worker; production activity; traditional sector; take time; domestic saving; annual labor; commodity price; income category; richer countries; low inflation; consumption growth; aggregate data; empirical literature; lagged change; world trade; export boom; foreign saving;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CNA-2022-11-21 (China)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wbk:jbsgrp:33539544. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Selome Assefa Hailemariam (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.