For effective promotion of regional revitalization policies and municipal Sustainable Development Goals (SDG) measures, we have organized integrated strategic elements that relate sustainable developments, as the goal in urban–regional strategies, to municipal management activities, as the foundation, based on an integrated analysis of urban/city assessment scores using SDG indicators and fiscal expenditure data. Specifically, we selected 15 items and 24 SDG indicators for prefectures from the list of localized SDG indicators, calculated scores for each goal item, and conducted a factor analysis of the multi-item dataset by adding object-specific expenditure data. Results show eight factors that exhibited the relationship between the state of the target region and its expenditure structure. The factor with the highest contribution suggests the need to maintain rural areas in addition to urbanization, as indicated by the low evaluation of SDG1 and SDG3. It also implies the necessity of promoting agriculture, forestry, and fisheries. Another factor indicates the necessity of security measures, social security, education, and human capital formation for ensuring the safety and well-being of people and maintaining urban areas and their health conditions.

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Organization of Integrated Strategic Elements in Urban and Regional Management Using SDG Local Indicators and Fiscal Expenditure Data

  • Yuki Shiga,
  • Atsuko Hanashima,
  • Lisa Ito,
  • Yasuko Kitamoto,
  • Masato Miyata,
  • Akihiro Tokai

摘要

For effective promotion of regional revitalization policies and municipal Sustainable Development Goals (SDG) measures, we have organized integrated strategic elements that relate sustainable developments, as the goal in urban–regional strategies, to municipal management activities, as the foundation, based on an integrated analysis of urban/city assessment scores using SDG indicators and fiscal expenditure data. Specifically, we selected 15 items and 24 SDG indicators for prefectures from the list of localized SDG indicators, calculated scores for each goal item, and conducted a factor analysis of the multi-item dataset by adding object-specific expenditure data. Results show eight factors that exhibited the relationship between the state of the target region and its expenditure structure. The factor with the highest contribution suggests the need to maintain rural areas in addition to urbanization, as indicated by the low evaluation of SDG1 and SDG3. It also implies the necessity of promoting agriculture, forestry, and fisheries. Another factor indicates the necessity of security measures, social security, education, and human capital formation for ensuring the safety and well-being of people and maintaining urban areas and their health conditions.