Arctic Geopolitical Configuration
113total population of the Arctic province with the percentile value for the
indigenous population.
The economic configuration of the region is introduced to the analysis
through the variable GRP (mln. USD)^50 – i.e. the Gross Regional Product –
by province and year, in current prices. The standardization involved
conversion of national currencies into current USD using yearly-average
historical currency exchange rates found in OANDA. Due to lack of actual
data we predicted values for Newfoundland and Labrador, Quebec (2000,
2010); and Finnmark, Nordland, Tromso, Norrbotten, Vasterbotten (2010).
First, construction of the scatterplot in Statistica 10 allowed us to decide
whether the existing data formed a trend. If it did, we used multiple
regression analysis to predict missing values. Results were significant with
95 per cent probability (significance level = 0.05; p-value < 0.05).
Agriculture (mln. USD)^51 denotes the share of agriculture, forestry,
fishing, and hunting in Gross Regional Product, by province and by year,
recalculated according to percentile value for every respective year. Data
on Nunavut, Northwest Territories and Yukon were reconstructed for
- First, construction of the scatterplot in Statistica 10 allowed us to
decide whether the existing data formed a trend. If it did, we used multiple
regression analysis to predict missing values. Results were significant with
95 per cent probability (significance level = 0.05; p-value < 0.05).
Industry (mln. USD)^52 represents the share of mining, manufacturing
(metal products, electronics, machinery and scientific instruments,
shipbuilding, pulp and paper, foodstuffs, chemicals, textiles, and clothing)
and energy and water supplies, in Gross Regional Product, by province
and by year, recalculated according to percentile value for every respective
year. To reconstruct missing data on Nunavut, Northwest Territories and
Yukon in 2010 we confirmed, via scatterplot in Statistica 10, that the
available time range data formed a trend. Then we used multiple
regression analysis to predict missing values. Results were significant with
95 per cent probability (significance level = 0.05; p-value < 0.05).
Services (mln. USD)^53 denotes the share of construction, wholesale and
retail trade, transportation, information, finance, real estate, tourism,
education, healthcare and social services in Gross Regional Product, by
province and year, recalculated according to percentile values for every
respective year. We reconstructed missing data on Nunavut, Northwest
Territories and Yukon in 2010 by verifying whether the available time
(^50) <www.arcticstat.org>, <www.oanda.com/currency/historical-rates>
(^51) <www.arcticstat.org>
(^52) Ibid.
(^53) Ibid.