Is Scotland a Westminster-style Majoritarian Democracy or a Scandinavian-style Consensus Democracy? A Comparison of Scotland, the UK and Sweden

Peer reviewed

Is Scotland a Westminster-style Majoritarian Democracy or a Scandinavian-style Consensus Democracy? A Comparison of Scotland, the UK and Sweden

Peer reviewed

Is Scotland a Westminster-style Majoritarian Democracy or a Scandinavian-style Consensus Democracy? A Comparison of Scotland, the UK and Sweden

Peer reviewed

Middle atmopsheric cabon monoxide above Kiruna, Sweden, 2008-2015

This data set contains profiles of atmospheric carbon monoxide (CO) concentrations retrieved from measurements made by the Kiruna Microwave Radiometer (KIMRA), housed at the Swedish Institute for Space Physics, Kiruna. The data is retrieved on a standard pressure grid that is 62 layers, spaced approximately equally in altitude between 2 km and 124 km. The current time range of the data is December 2008 to May 2015, with data gaps corresponding to Summer periods when the CO concentrations in the middle atmosphere drop to very low values, or to non-operation of the instrument. The profile information is considered useful between approximately 48 km and 86 km, specifically where the measurement response is above 0.8. If the CO profiles are being compared to another data set with significantly higher altitude resolution, the averaging kernel matrix should be used to smooth the higher resolution data. The error in the profile from statistical noise on the measured spectrum is also provided. This work has been funded by the German Federal Ministry of Education and Research through the research project: Role Of the Middle atmosphere in Climate (ROMIC, https://romic.iap-kborn.de).

Smoking during pregnancy by duration of residence among immigrants in Sweden 1991-2012 : A study on health inequalities

This study revisits the effect of duration by residence in relation to smoking during pregnancy. It contributes to the literature by incorporating a health inequity perspective, and discusses whether immigrants tend to converge with Swedish women’s smoking. The study is based on Swedish Medical Birth Register and includes 1 1864 52 pregnancies between 1991 and 2012. Logistic regression was performed to attain crude and adjusted Odds Ratios and 95 % confidence intervals. Immigrants’ are divided by categorizing countries of origin depending on levels of Human Development (IHDI). Overall immigrant women show low levels of smoking during pregnancy when they arrive to Sweden, by duration of residence levels of smoking increase and converge with smoking patterns of Swedish women. I found that there are differences in smoking patterns depending on IHDI of the country. Immigrant women of higher categories of IHDI show higher levels of smoking although the increase of smoking is higher among immigrant women from categories of lower IHDI. However, immigrant women’s smoking during pregnancy is affected by duration of residence, and the increased smoking is associated with health inequalities related to their country of origins IHDI, and by socioeconomic inequalities in Sweden. 

Citizenship formation for a new millennium in Sweden : a prognosis of our time

The aim of this article is to forecast the present situation of citizenship formation in the field of Swedish education. In highlighting trends and tendencies in the educational assignment to provide for democratic citizenship in the first decade of the 21st century, which can be characterised as lacking collective visions for change, three depictions of citizenship are prevailing: citizenship formation for deliberation, for entrepreneurship and for therapeutic intervention. These depictions are analysed in terms of the direction for action taking and attention that they stress and produce as concerns citizenship in the making. The first one, citizenship formation for deliberation, stresses an inward-looking and inward-feeling citizenship. The second one, citizenship formation for entrepreneurship, stresses an inward-looking and outward-making citizenship, and the third one, citizenship formation for therapeutic intervention, stresses an inward-looking and outward-making citizenship. Taking on this forecast, which actualises democracy as something that is already achieved as a consequence of an assumedly post political situation, we argue that citizenship as well as society itself risks being pictured as apolitical and democratically “saturated.” This situation is hazardous, we argue, as it does not open up for change to come into question as desirable or even possible. Put differently, it leaves us with the notion that things have to be as they are, as we are living in the best of worlds. 

Revisiting a destination: A tourist’s choice model : A case study of Sweden

This paper documents the design and results of a study on tourists’ decision-making about destinations in Sweden. For this purpose, secondary data, available from surveys were used to identify which type of individual has the highest probability to revisit a destination and what are influencing factors to do so. A binary logit model is applied. The results show that very important influencing factors are the length of stay as well as the origin of the individual. These results could be useful for a marketing organization as well as for policy, to develop strategies to attract the most profitable tourism segment. Therefore, it can also be a great support for sustainable tourism development, where the main focus does not has priority on increasing number of tourists.

Modeling Hospital Readmissions in Dalarna County, Sweden

Unplanned hospital readmissions increase health and medical care costs and indicate lower the lower quality of the healthcare services. Hence, predicting patients at risk to be readmitted is of interest. Using administrative data of patients being treated in the medical centers and hospitals in the Dalarna County, Sweden, during 2008 – 2016 two risk prediction models of hospital readmission are built. The first model relies on the logistic regression (LR) approach, predicts correctly 2,648 out of 3,392 observed readmission in the test dataset, reaching a c-statistics of 0.69. The second model is built using random forests (RF) algorithm; correctly predicts 2,183 readmission (out of 3,366) and 13,198 non-readmission events (out of 18,982). The discriminating ability of the best performing RF model (c-statistic 0.60) is comparable to that of the logistic model. Although the discriminating ability of both LR and RF risk prediction models is relatively modest, still these models are capable to identify patients running high risk of hospital readmission. These patients can then be targeted with specific interventions, in order to prevent the readmission, improve patients’ quality of life and reduce health and medical care costs.