CLB’s revised, updated and streamlined Resource Centre

27 June 2019

China Labour Bulletin’s Resource Centre has a new format. There are now five distinct sections which together provide a detailed and comprehensive overview of the key labour issues in China today.

Wages and employment is the go to section for the basic information about pay and working conditions in China. It examines the variations in wage levels across different sectors and regions, and analyses the vagaries of China’s complex and fluid labour market.

China’s social security system looks at the five separate forms of social insurance that employers are legally required to provide for their employers and how the system works in reality.

Workplace discrimination is one of China’s most serious and ingrained employment problems. This section looks at discrimination on the basis of gender, age, social origin, health, ethnicity etc. and shows how workers and activists are now fighting back.

Migrant workers and their children examines the demographics, employment patterns and working conditions of China’s 274 million migrants workers and the continuing problems faced by their children in the cities and for those “left-behind.”

China’s labour dispute resolution system looks at the avenues of redress available to Chinese workers whose labour rights have been violated by their employer, and how local governments and businesses can collude to create obstacles to redress.

Since its inception in 2008, CLB’s Resource Centre has adapted to changes in the Chinese economy and the workers’ movement as well as increased activism in civil society and social media, and the availability of new sources of data. We always welcome ideas and suggestions on how it may be improved in the future.

Back to Top

This website uses cookies that collect information about your computer.

Please see CLB's privacy policy to understand exactly what data is collected from our website visitors and newsletter subscribers, how it is used and how to contact us if you have any concerns over the use of your data.