Contribution of the MERISE-Type Conceptual Data Model to the Construction of Monitoring and Evaluation Indicators of the Effectiveness of Training in Relation to the Needs of the Labor Market in the Republic of Congo

This study proposes the use of the MERISE conceptual data model to create indicators for monitoring and evaluating the effectiveness of vocational training in the Republic of Congo. The importance of MERISE for structuring and analyzing data is underlined, as it enables the measurement of the adequacy between training and the needs of the labor market. The innovation of the study lies in the adaptation of the MERISE model to the local context, the development of innovative indicators, and the integration of a participatory approach including all relevant stakeholders. Contextual adaptation and local innovation: The study suggests adapting MERISE to the specific context of the Republic of Congo, considering the local particularities of the labor market. Development of innovative indicators and new measurement tools: It proposes creating indicators to assess skills matching and employer satisfaction, which are crucial for evaluating the effectiveness of vocational training. Participatory approach and inclusion of stakeholders: The study emphasizes actively involving training centers, employers, and recruitment agencies in the evaluation process. This participatory approach ensures that the perspectives of all stakeholders are considered, leading to more relevant and practical outcomes. Using the MERISE model allows for: • Rigorous data structuring, organization, and standardization: Clearly defining entities and relationships facilitates data organization and standardization, crucial for effective data analysis. • Facilitation of monitoring, analysis, and relevant indicators: Developing both quantitative and qualitative indicators helps measure the effectiveness of training in relation to the labor market, allowing for a comprehensive evaluation. • Improved communication and common language: By providing a common language for different stakeholders, MERISE enhances communication and collaboration, ensuring that all parties have a shared understanding. The study’s approach and contribution to existing research lie in: • Structured theoretical and practical framework and holistic approach: The study offers a structured framework for data collection and analysis, covering both quantitative and qualitative aspects, thus providing a comprehensive view of the training system. • Reproducible methodology and international comparison: The proposed methodology can be replicated in other contexts, facilitating international comparison and the adoption of best practices. • Extension of knowledge and new perspective: By integrating a participatory approach and developing indicators adapted to local needs, the study extends existing research and offers new perspectives on vocational training evaluation.

Long-term care policy simulation of disabled elderly

With the accelerating process of population aging in our country, the physical function of the elderly will decline, the possibility of suffering from acute and chronic diseases will increase, and the occurrence of disability will become more common and normal. The potential demand for elderly care is rapidly increasing. With the growth, the care of the disabled elderly has become increasingly acute. At the same time, due to the intensification of family miniaturization and population migration, the traditional family-based long-term care has been difficult to sustain. How to incorporate long-term care into our social security system as soon as possible has become the focus of the whole society. The thesis through the combination of public policy simulation methods and the research data, the long-term care insurance system implemented at the beginning of 2018 in Shanghai is a policy blueprint. It uses statistical software SPSS, MATLAB, etc. to achieve data collation, analysis and prediction, and at the same time integrates the pilot of the long-term care insurance system. The implementation of policies in cities such as Qingdao and Nantong has been simulated. Finally, on the basis of simulation results, suggestions have been made for the future development of China＇s long-term care insurance system.