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ID:
121747
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| Publication |
2013.
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| Summary/Abstract |
The Royal Navy (RN) is striving to achieve the right manpower mix through improved retention levels. This paper analyses the ratings' exit patterns from the RN using a hazard regression framework. We hypothesise that similar to civilian workers, job transition decisions of the RN ratings are dependent upon alternative job availability and macroeconomic conditions. In addition, working conditions, gender and skill mix, family commitments and promotion prospects in the Navy influence their decisions to leave early. We estimate the unemployment elasticity for males to be -0.65 (female -0.51), which is high, compared to the elasticity reported for the US Navy. The civilian wage is positively related to exit probability from the RN. Overall, married ratings are less likely to exit as compared to their unmarried counterparts, but married female ratings are 88% more likely to leave early as compared to unmarried females in the Navy. Promotion to higher ranks reduces the probability of early exists.
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| 2 |
ID:
189307
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| Summary/Abstract |
This article aims to determine the degree of correlation between innovation development and the standard of living of the population in the regions. The study is based on the application of standard methods of data collection and processing, correlation analysis, and ratings. Official statistics, foreign and domestic sources of ratings by the Global Innovation Index (GII), Human Development Index (HDI), Quality of Life Index (QOLI), as well as the Russian Regional Innovation Index (RRII), were used as the data set. Comparative analysis and assessments were conducted for regions in the Russian Far East and neighboring countries in the Asia-Pacific Region (APR). According to the GII-2021 ranking, APR countries are among the top 15 countries in the world, with Russia ranked 45th out of 132; according to the HDI-2019, Hong Kong is among the top five, with the remaining countries ranked below 11th place and Russia ranked 52nd.
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