Planning Sustainable Economic Development in the Russian Arctic

Abstract

Recent federal documents devoted to the Arctic zone economic development highlighted eight basic areas-future innovative centers of regional development. Totally 150 investment projects are planned by 2030, where 48% are designated for mineral resources extraction, 16%-for transport development, 7%-for geological survey, 2%-for environment safety protection etc. At the same time, these ambitious plans should meet green economy goals. This means that territorial planning will have to consider at least three spatially differentiated issues: Socio-economic, ecological and environmental (nature hazards, climatic changes etc.). Thus, the initial stage of territorial planning for economic development needs evaluation of different spatial combinations of these issues. This research presents an algorithm for evaluation of joint impact of basic regional components, characterizing "nature-population-economy" interrelations in order to reveal their spatial differences and demonstrate options and risks for future sustainable development of the Russian Arctic. Basic research methods included system analysis with GIS tools. Accumulated data were arranged in three blocks which included principle regional factors which control sustainable development. In order to find different patterns of sustainability provided by these factors pair assessments of ecological/economic, environmental/economic and ecological/environmental data was done. Independent variable-environmental factors offered different spatial natural patterns either promoting or hampering economic development. It was impossible to assess jointly all three blocks data because the discussed framework of regional sustainability factors attributed to spatial regional system, which demonstrated its panarchy character. Ranking results were visualized in a map where the selected pair groups were shown for each basic territory of advanced development. Visualization of proportional correlation of social, economic and ecological factors was achieved using color triangle method (RGB).

Biogeographic patterns of planktonic and meiobenthic fauna diversity in inland waters of the Russian Arctic

“…An important feature of tundra and northern taiga landscapes of the Russian Federation is the large number of lakes, bogs and various temporary waterbodies that occupy up to 60%–90% of the total land area (Rautio et al, 2011). This territory includes roughly half of the Arctic biome (about 3.35 million km 2 ), extending approximately 7,000 km from west to east across the continent ( Evseev et al, 2019). Approximately 65% of this tundra and taiga landscape area is permafrost covered (Kravtsova & Bystrova, 2009), with shallow glacial or thermokarst lakes predominating dynamic ecosystems that are strongly affected by climate variability (Manasypov et al., 2014; Rautio et al, 2011).…”

Economic and social benefits of a strategy of ecological monitoring for oil and gas companies operating in the Russian Arctic

“…The socio-economic benefits of Ecological-Biological monitoring improve the welfare of the local communities by protecting renewable resources that have historically sustained, preserving their cultures and by encouraging innovation and economic participation [13].…”

Sustainable development goals as a challenge for national and global development

“…Its data from the study are from three sources: the OECD Program for the International Assessment of Adult Competence (PIAAC), Employment and Productivity Skills of the World Bank (STEP), conducted in middle and low income countries, and the China Urban Labor Survey (CULS), which includes the study STEP based module. The construction of task activities for employees compliant with O * NET (American structure of task classification) and covering countries with low, medium and high income is a priority contribution to this research [14,16]. Such a base was in research [22] A priority for the presented approach to the unification of these tasks.…”