![[20-20] A Study on a Method of Evaluating the Mid-to-Long-Term Plans of the Government](/app/board/attach/image/thumb-2713-1624498952000.do)
As of 2019, the Korean government has established and implemented approximately 530 mid-to-long-term plans, but there is no control tower that continuously monitors and coordinates such mid-to-long-term plans,which are established every 5 to 20 years. Since the number of mid-to-long-term plans is so large and the frequency of their establishment and execution varies from plan to plan, the government needs to find ways to systematically evaluate and manage its mid-to-long-term plans.
This study aims to seek a measure to evaluate the government's mid-to-long-term plans through the establishment and operation of a performance management system. To this end, a Gap analysis of key indicators that can identify the performance of mid-to-long-term plans was conducted by linking the government's mid-to-long-term plans with K-SDGs (National Sustainable Development Goals), and reviewing the administrative big data utilization plan.
This study linked major mid-to-long-term plans in areas that included education, science and technology, social welfare, and residential conditions to K-SDGs' performance indicators, and conducted a survey of experts in each field using Analytical Hierarchy Process (AHP) methods. In addition, it analyzed three priority performance indicators for each field derived from the AHP survey of experts. It was found that even if a performance management system has been established for major mid-to-long-term plans using K-SDGs, some indicators have identified problems, such as the absence of related statistics. In addition, for the mid-to-long-term planning performance management system to have practical effects, it is sometimes necessary to compare and analyze not only at the national level, but also at the regional (city and city and county) level. To overcome these limitations, it is thus necessary to establish and utilize a comprehensive database using administrative big data to establish an institutional basis for continuous performance management of the government's mid-to-long-term plans based on reliable data.
Based on the results of our analysis, this study proposed the establishment of a performance management system by preparing key performance indicators that each plan should achieve when establishing a mid-to-long-term government plan. In particular, it is necessary to introduce mid-to-long-term planning goals and performance indicators at the level of K-SDGs, establish a consistent performance management system, and operate a mid-to-long-term plan performance management system using administrative big data.
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