The analysis of the trends for industrial concentration, GDP growth per capita, and income inequality – based on data from IPUMS International, Maddison Project, Clio-Infra, and World Bank Open...Show moreThe analysis of the trends for industrial concentration, GDP growth per capita, and income inequality – based on data from IPUMS International, Maddison Project, Clio-Infra, and World Bank Open Data – in the context of the US, Canada and other selected countries from Europe, South America, and East Asia, has led to the following results: a) after a comparison between the Krugman Index values and the GINI coefficients for the historical series of US, UK, and Spain, I argue in the first place, that the 1970-2000 series for the group of East-Asian countries subject to the research is coherent with the presence of “displaced” Kuznets’ waves – where the latter is a theoretical tool (introduced by Milanovic) that revises the original Kuznets’ hypothesis by shifting the focus from the long-run to more limited period of times. Secondly, for the group of South American countries analysed, I confirm the results of Deinenger and Squire on the unidirectionality of the trends for economic growth and income inequality between the 1960s and the 2000s. Namely, that both trends are raising, instead of diverging at a certain point, as it would have been expected, according to the original Kuznets’ hypothesis. Nevertheless, the inversion of the income inequality levels for Brazil, and the extreme oscillatory nature of the trends for Argentina, seem to prospect a potential displacement of a Kuznets’s wave for the two countries in a subsequent period. Limitations in the available datasets for the years after 2000s hindered, though, a consistent verification of this hypothesis. b) I argue on the one hand, that, for the Western countries analysed, the series for industrial concentration and income inequality between 1860 and 1970 are fully compatible with a Kuznets’ wave. On the other, that the series after the 1970s are instead in contrast with Milanovic’s thesis of a second Kuznets’ wave starting during these years. Nevertheless, the value for industrial concentration that I found for the US in 2015 can have some relationship with the rising income inequality levels analysed by Milanovic. Further research should be 75 devoted to the analysis of this issue when the census datasets for the 2020s decade will be made available. c) I argue that a further theoretical insight, derived from my analysis, can be considered as a corollary of Krugman’s theory on industrial specialisation dynamics. Namely, that being equal the transportation costs and the level of technology/productivity, lighter economic shocks trigger increasing levels of industrial concentration, whereas highly disruptive shocks for the industrial tissue, such as wars and structural economic crises, produce instead decreasing levels of industrial concentration. Further research is necessary, though, in order to corroborate this theory.Show less
The aim of this thesis is to study the influence of status on the prevalence of non-specific stress in post-medieval London. This is researched by comparing the prevalence of two non-specific...Show moreThe aim of this thesis is to study the influence of status on the prevalence of non-specific stress in post-medieval London. This is researched by comparing the prevalence of two non-specific stress markers in and between two high-status populations (Chelsea Old Church and St. Bride’s Fleet Street) and two low-status populations (St. Bride’s Lower Churchyard and Cross Bones burial ground) from post-medieval London. The non-specific stress markers that were used in the comparisons were the prevalence of enamel hypoplasia and growth (through mean femur length). The high-status and low-status populations were compared on their own as well as together, combining Chelsea Old Church and St. Bride’s Fleet Street into one high-status population and St. Bride’s Lower Churchyard and Cross Bones burial ground into one low-status population. The four populations, as well as the aggregated populations, were divided into several age groups and the two sexes for (statistical) comparison. In the results it was found that over all, the high-status population of post-medieval London had less (severe) non-specific stress, but that when the populations were studied separately and divided into groups, the results became more nuanced. It was shown that the population from St. Bride’s Fleet Street experienced the least (severe) non-specific stress, the population from Cross Bones burial ground experienced the most (severe) non-specific stress and the populations from Chelsea Old Church and St. Bride’s Lower Churchyard experienced a similar amount (and severity) of stress.Show less
China’s exceptional growth, since the early 1980s, has been accompanied by a startling rise in gender-wage inequality. Gendered occupational segregation is identified as a primary cause, and has...Show moreChina’s exceptional growth, since the early 1980s, has been accompanied by a startling rise in gender-wage inequality. Gendered occupational segregation is identified as a primary cause, and has been a prominent feature of China’s economic transition and integration into the global economy. The channeling of women into low-skill, low-wage occupations is an often neglected factor in the story of China’s export-led economic growth and the development of its growing service industries. The purpose of this thesis is to establish how the revival of traditional gender norms in China has contributed to high levels of occupational gender-segregation and rising wage inequality. In particular this thesis focuses on changing constructions of gender as advanced by the state, through social policy and labour regulations, and in state media.Show less
This study examines the technical adequacy of the CBM maze task as an indicator of growth and performance in a sample of 578 Dutch 7th grade students. Maze data was collected during 16 weeks in the...Show moreThis study examines the technical adequacy of the CBM maze task as an indicator of growth and performance in a sample of 578 Dutch 7th grade students. Maze data was collected during 16 weeks in the second semester. A strong alternate-form reliability was found for the first and final three passages (.74 < r < .82). Maze growth-rates could not be predicted from VAS reading comprehension scores (R2 = .02). As well, only a small effect was found for the difference in growth rates between education levels. Maze performance in spring and the end of the year were predicted from VAS reading comprehension scores. Explained variances were respectively 27.6% (β = .53, p < .05) and 29.7% (β = .55, p < .05). Also significant differences in maze performance were found between education levels on both time points, respectively F(2, 556) = 42.29, p < .01, ω2 = .13 in spring and F(2, 251) = 49.14, p < .01, ω2 = .27 at the end of the year. Differences were significant for all groups, being lower, average and higher education levels (p < .01). Summarizing no empirical support was found for the validity of maze as an instrument to monitor growth in 7th grade. Results indicate a moderate validity of maze as an indicator of reading performance.Show less
