Green Economy Development Progress in the Republic of Buryatia (Russia)

Int J Environ Res Public Health. 2022 Jun 28;19(13):7928. doi: 10.3390/ijerph19137928.

Abstract

Under current conditions, the green economy concept has received a comprehensive response in achieving the sustainable development of regions. However, measuring green economic development progress is dynamic, quantitatively characterized by indicators reflecting various aspects. The difficulty lies in a comprehensive environmental sustainability assessment in a context that includes the territory's environmental, social, and economic factors. The study aimed to assess the progress of the Republic of Buryatia's (Russia) "green" economic development. The proposed methodology for constructing a composite index is based on five dimensions' aggregation-resource efficiency, environmental efficiency, environmental quality of life, natural assets, and institutional factors. The composite index helped generalize the complex processes of the region's environmental-socio-economic development. Its main feature is the reflection of the environmental specificity of the territory. We built a mid-term forecast of the composite and sub-indices, determined their future trend, and assessed the opportunities and conditions for the fastest transition of the Republic of Buryatia to a green economy. The developed composite index is a key tool for regulating green economic development progress, determining prospects, and region management. This paper attempts to fill the gap in a comprehensive assessment of the Republic of Buryatia's current situation using a composite index.

Keywords: Lake Baikal; Republic of Buryatia (Russia); composite index; forecast; green economy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Conservation of Energy Resources
  • Economic Development*
  • Efficiency
  • Quality of Life*
  • Russia

Grants and funding

This research was funded by the project supported by the National Natural Science Foundation of China (Grant number No. 42071282 and No.32161143029), Key Collaborative Research Program of the Alliance of International Science Organizations (Grant No. ANSO-CR-KP-2020-02) and State assignment of BINM SB RAS (Grant number AAAA-A21-121011590039-6).