Role of seasonality in the socio-economic development of rural areas of the southern part of the Republic of Karelia

• Authors: Alexey Naumov , Varvara Akimova , Daria Elmanova , Elizaveta Velichko , Mikhail Topnikov , Maxim Volkov , Alina Khusainova , Petr Shmyd , Aleksandra Poturaeva , Elena Nosova

Abstracts

EN

The objective of this work is to analyze the impact of seasonality on the socio-economic development of rural areas of the southern part of Karelia. This study is based on the field data obtained via semi-structured indepth interviews with experts from the local community. The results show that the influence of seasonality is rather indirect, being a constituent of other factors: economic, infrastructural, institutional, social, etc. Although seasonality is most often perceived as a negative phenomenon regarding socio-economic development, modern types of economic activity characterized by a peak of activity in different seasons of the year mitigate the effect of seasonality and even benefit from being seasonal. Based on the materials collected, a typology of rural settlements of the southern part of Karelia based on the nature of the effect of seasonality has been developed (with a predominantly positive and predominantly negative effect).

Keywords

EN

Rural development; seasonality; Northern Russia; Republic of Karelia

• Publisher: Wydział Geografii i Studiów Regionalnych Uniwersytetu Warszawskiego
• Journal: Miscellanea Geographica. Regional Studies on Development
• Year: 2020
• Volume: 24
• Issue: 2
• Pages: 51-61

Dates

published

2020

Contributors

author

Alexey Naumov

• Department of Socio-Economic Geography of Foreign Countries, Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia

author

Varvara Akimova

• Department of Socio-Economic Geography of Foreign Countries, Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia

author

Daria Elmanova

• Department of Socio-Economic Geography of Foreign Countries, Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia

author

Elizaveta Velichko

• Department of Socio-Economic Geography of Foreign Countries, Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia

author

Mikhail Topnikov

• Department of Socio-Economic Geography of Foreign Countries, Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia

author

Maxim Volkov

• Department of Socio-Economic Geography of Foreign Countries, Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia

author

Alina Khusainova

• Department of Socio-Economic Geography of Foreign Countries, Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia

author

Petr Shmyd

• Department of Socio-Economic Geography of Foreign Countries, Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia

author

Aleksandra Poturaeva

• Department of Socio-Economic Geography of Foreign Countries, Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia

author

Elena Nosova

• Department of Socio-Economic Geography of Foreign Countries, Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia

References

• Adamiak, C, Pitkänen, K & Lehtonen, O 2016, ‘Seasonal residence and counterurbanization: the role of second homes in population redistribution in Finland’, GeoJournal, vol. 82(5), pp. 1035–1050.
• Barsky, RВ & Miron, JA 1988, The seasonal cycle and the business cycle, National Bureau of Economic Research.
• Basu, С n. d., The difference between seasonal economic fluctuations & cyclical economic fluctuations. Available from: <http://smallbusiness.chron.com/difference-between-seasonal-economic-fluctuations-cyclical-economic-fluctuations-36101.html>. [5 March 2019].
• Baum, T & Lundtorp, S (eds) 2001, Seasonality in tourism, Elsevier.
• Belyanchikov, E 2019, ‘Three truths about the goldfish. As Karelians against the trout-breeders rebelled. Part 1. Journalistic investigation’, Karelia News, 18 March. Available from: <https://www.karelia.news/news/2328785/tri-pravdy-pro-zolotuu-rybku-kak-karely-protiv-forelevodov-vosstali-cast-1-zurnalistskoe-rassledovanie>. [20 March 2019].
• Bursak, PJ 1931, Seasonal variations in employment in manufacturing industries, University of Pennsylvania, Philadelphia.
• Carson, DB & Carson, DA 2014, ‘Local economies of mobility in sparsely populated areas: Cases from Australia’s spine’, Journal of Rural Studies, vol. 36, pp. 340–349.
• Carson, DA, Cleary, J, Barre, S, Eimermann, M & Marjavaara, R 2016, ‘New mobilities – new economies? Temporary populations and local innovation capacity in sparsely populated areas’, Settlements at the edge: Remote human settlements in developed nations, pp, 178–206.
• Dagum, EB 1978, ‘Modelling, forecasting and seasonally adjusting economic time series with the X-11 ARIMA method’, Journal of the Royal Statistical Society. Series D (The Statistician), vol. 27, no.3/4, pp. 203–216.
• Gill, GJ 1991, Seasonality and agriculture in the developing world: A problem of the poor and powerless, Cambridge University Press, Cambridge.
• Ginzburg, M & Dukor, GI (eds) 1930, Seasonality and seasonal fluctuations in industry and the national economy, State Technical Publishing House, Moscow.
• Gubanov, VA 2002, Non-parametric extraction of dynamic seasonal cycles: Working paper, State University - Higher School of Economics, Moscow.
• Haslam McKenzie, F 2010, ‘Fly-in fly-out: The challenges of transient populations in rural landscapes’, Demographic Change in Australia’s Rural Landscapes, vol. 12, pp. 353– 374.
• Hylleberg, S 1986, Seasonality in regression, Academic Press, Orlando.
• Hylleberg, S 2008, ‘Seasonal adjustment’ in The New Palgrave Dictionary of Economics, 2nd edition, eds SN Durlauf & LE Blume, Palgrave Macmillan, London, pp. 5788–5797.
• Jaditz, T 1994, ‘Seasonality: economic data and model estimation’, Monthly labor review, vol. 117, no. 12, pp. 17– 22.
• Kareliastat 2019, Municipal statistics. Available from: <http:// krl.gks.ru/wps/wcm/connect/rosstat_ts/krl/ru/municipal_ statistics>. [20 March 2019].
• Kuznets, S 1933, Seasonal variations in industry and trade, National Bureau Economic Research, New York.
• Lovell, MC 1963, ‘Seasonal adjustment of economic time series and multiple regression analysis’, Journal of the American Statistical Association, vol. 58, no. 304, pp. 993–1010.
• Marjavaara, R & Lundholm, E 2014, ‘Does second-home ownership trigger migration in later life?’, Population, Space and Place, vol. 22(3), pp. 228–240.
• Mazmanova, BG 2000, ‘Methodical issues of sales forecasting’, Marketing in Russia and abroad, no. 1, pp. 21–35.
• Milbourne, P & Kitchen, L 2014, ‘Rural mobilities: Connecting movement and fixity in rural places’, Journal of Rural Studies, vol. 34, pp. 326–336.
• Miron, JA 1996, The economics of seasonal cycles, Massachusetts Institute of Technology, Massachusetts.
• OpenStreetMap 2019, Russia. Available from: <http:// openstreetmap.ru>. [15 June 2019].
• Pitkänen, K, Sireni, M, Rannikko, P, Tuulentie, S & Hiltunen, MJ 2018, ‘Temporary mobilities regenerating rural places. Case studies from northern and eastern Finland’, Journal of Rural and Community Development, vol. 12 (2–3), pp. 93–113.
• Rau, R 2007, Seasonality in human mortality: a demographic approach, Springer. Berlin, Heidelberg, Germany.
• Shlyakhov, Y 2010, ‘Fishing quotas have been allocated to the Vepsians’, “Karelia Official” official Internet portal of the Republic of Karelia (gov.karelia.ru), 3 August. Available from: <http://www.gov.karelia.ru/gov/News/2010/08/0803_18. html>. [11 March 2019].
• Tarasevich, VM 1991, Economic-mathematical methods and models in pricing. Part 1, Publishing house of the Leningrad Financial and Economic Institute, Leningrad.
• Taylor, A, Carson, DB, Ensign, PC, Huskey, L, & Rasmussen, RO 2016, ‘Settlements at the edge: Remote human settlements in developed nations’, Edward Elgar Publishing.Gloucester, UK.
• Sheller, M & Urry, J 2006, ‘The new mobilities paradigm’, Environment and Planning A, vol. 38(2), pp. 207–226.
• Yakovenko, EG, Bass, MI & Makhrov, NV 1991, The life cycles of economic processes, objects and systems, Nauka, Moscow.

Identifiers

Biblioteka Nauki

946999