On 7th and 8th May 2019 in Ha Noi, the International Labour Organization, the Viet Nam Chamber of Commerce and Industry and the Viet Nam General Confederation of Labour jointly organize the training workshop on labour and employment indicators in the Viet Nam SDG statistical indicators (VSDGI).
Among the 158 indicators in the VSDGI list, there are 23 related to labour and employment. In order to achieve them, VGCL and VCCI must act as key partners of the government of Viet Nam. Workers’ representatives can contribute substantially to achieving the SDGs through social dialogue and through workers’ awareness raising. Employers can make a direct contribution to sustainable development goals through their business choices and practices.
At the regional and global levels, workers’ and employers’ organizations have participated actively in shaping the SDG framework and in the reporting that has been done so far. The main question for Viet Nam is how VGCL and VCCI are to be involved in the monitoring and reporting of results at the national level. The effectiveness of your contribution will depend on your knowledge of the SDGs and your proactive contribution.
This training aims at equipping participants with knowledge about: SDG monitoring frameworks and SDG indicators related to labour and employment; and key labour market information definitions and concepts. Participants also had a chance to discuss directly with representatives from the Ministry of Labour on how they are going to collaborate with the government in monitoring SDGs in Viet Nam.
Participants: 20 officials from the Viet Nam Chamber of Commerce and Industry and 20 officials from the Viet Nam General Confederation of Labour will be invited to the training.
Output: The knowledge provided through this training is believed to help VCCI and VGCL understand basic concepts and definitions of indicators related to the labour and employment. After the training, our constituents will be able to use the knowledge to give feedback about the SDG implementation in Viet Nam as well as exploiting available data tools for their work. -->
