A Kuznets rise and a Piketty fall : income inequality in Finland, 1865–1934

This study presents the new Gini coefficient and top income share series for Finland in the years 1865–1934 by utilizing Finnish tax statistics, which provide data on a poor country on the threshold of modern economic growth. Income inequality was relatively moderate in 1865, while famine (1867–1868) decreased it further. Income inequality increased substantially during the late nineteenth century, then declined during WWI and its aftermath, followed by another increase in inequality in the late 1920s that was halted by the Great Depression. The rising level of inequality before WWI fits well with the ideas of the Kuznets curve and maximum inequality, whereas the decline in inequality was due to shocks (e.g., civil war).Peer reviewe

Autonomian ajan alkupuolen taloushistoriaa

Arvosteltu teos: Business life in pursuit of economic and political advantages in early-nineteenth-century Finland / Maare Paloheimo. Jyväskylä : University of Jyväskylä, 2012

Tilastoja, tiedettä ja maatalouspolitiikkaa

Arvosteltu teos: Tilastomies torpparien asialla: Edvard Gyllingin maatalouspoliittinen ajattelu ja toiminta suurlakon ja sisällissodan välissä / Petri Jussila. [Helsinki] : Työväen historian ja perinteen tutkimuksen seura, 2015

1930-luvun lama ja sen opetukset

Non peer reviewe

OpenFIRE – A Web GIS Service for Distributing the Finnish Reflection Experiment Datasets

Non peer reviewe

Spatial patterns of biomass change across Finland in 2009–2015

Forest characteristics vary largely at the regional level and in smaller geographic areas in Finland. The amount of greenhouse gas emissions is related to changes in biomass and the soil type (e.g. upland soils vs. peatlands). In this paper, estimating and explaining spatial patterns of tree biomass change across Finland was the main interest. We analysed biomass changes on different soil and site types between the years 2009 and 2015 using the Finnish multi-source national forest inventory (MS-NFI) raster layers. MS-NFI method is based on combining information from satellite imagery, digital maps and national forest inventory (NFI) field data. Automatic segmentation was used to create silvicultural management and treatment units. An average biomass estimate of the segmented MS-NFI (MS–NFI–seg) map was 73.9 tons ha−1 compared to the national forest inventory estimate of 76.5 tons ha−1 in 2015. Forest soil type had a similar effect on average biomass in MS–NFI–seg and NFI data. Despite good regional and country-level results, segmentation narrowed the biomass distributions. Hence, biomass changes on segments can be considered only approximate values; also, those small differences in average biomass may accumulate when map layers from more than one time point are compared. A kappa of 0.44 was achieved for precision when comparing undisturbed and disturbed forest stands in the segmented Global Forest Change data (GFC-seg) and MS–NFI–seg map. Compared to NFI, 69% and 62% of disturbed areas were detected by GFC-seg and MS–NFI–seg, respectively. Spatially accurate map data of biomass changes on forest land improve the ability to suggest optimal management alternatives for any patch of land, e.g. in terms of climate change mitigation

OpenFIRE – Suomen syvyydet avataan verkkoon

The Finnish Reflection Experiment (FIRE) is a reflection seismic experiment that was conducted in collaboration with the Universities of Helsinki and Oulu, Geological Survey of Finland (GTK), and the Russian company Spetsgeofizika in the early 2000’s. The dataset comprises over 2100 kilometers of deep seismic reflection profiles that transect all the major Precambrian geological formations of the Finnish bedrock. Regardless of its extent and high quality, the FIRE dataset has been relatively underused up to date. FIRE-ATT is an open science project conducted as a part of the Ministry of Education and Culture of Finland -funded Open Science and Research Initiative (ATT – Avoin Tiede ja Tutkimus) at the Institute of Seismology, University of Helsinki in collaboration with the AVAA team of the ATT initiative and GTK. The project has produced a revised data archive and a new mobile-responsive intuitive map-based user interface – the OpenFIRE service – for FIRE data sets. The data are available for browsing and download through the AVAA portal maintained by the ATT initiative

Maatalouden kotieläinrakennusten toimiva ilmanvaihto

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