OCCUPATIONAL STRUCTURE AND SOCIO-ECONOMIC STANDING

2011 ◽  
Vol 3 (4) ◽  
pp. 195-196
Author(s):  
Dr. P.B. Kadam Dr. P.B. Kadam ◽  
◽  
Dr.S.B. Rathod Dr.S.B. Rathod

1970 ◽  
Vol 11 (2) ◽  
pp. 249-257 ◽  
Author(s):  
E. M. Chilver ◽  
P. M. Kaberry

In 1964 the Bamenda Grassfields, then composed of the three West Cameroon prefectures of Bamenda, Wum and Nkambe, had a population of almost 575,000, which was densest in the Bamenda prefecture, adjoining the populous Bamileke prefectures. By 1967 these three prefectures had been increased to five–Bamenda, Gwofon, Nso, Wum and Nkambe– by division of the former Bamenda prefecture into three (Bamenda, Gwofon and Nso) and the addition to Gwofon of the Widekum-Menka area formerly administered as part of Mamfe Division. The distribution and age and occupational structure of the population are discussed in The Population of West Cameroon: Main Findings of the 1964 Sample Demographic Survey (Ministry of Economic Affairs and Planning, 1966). A census was carried out by the British administering authorities in 1953, based on socalled ‘clan areas’—a misnomer. The general picture given in administrative reports and reproduced in the 1953 census ethnic categories was of the broad division of the region into Tikar, Chamba (Bali), Tiv (Munshi) and Widekum, with small refugee enclaves on the northern borders. The significance and doubtful validity of these categories will be discussed in our forthcoming contribution to the Histoire des peuples et civilisations du Cameroun (ed. Claude Tardits), and are dealt with in some detail in E. M. Chilver and P. M. Kaberry, Notes on the Precolonial History and Ethnography of the Bamenda Grassfields (cyclostyled, 1966, for the Ministry of Education, West Cameroon).


2021 ◽  
Vol 17 (4) ◽  
pp. 1224-1238
Author(s):  
A.A. Tkachenko ◽  
◽  
A.B. Ginoyan ◽  

Since 2008, Russia has been conducting special surveys on the occupational structure of employed in the form of a federal statistical observation «On the number and needs of organisations for employees by professional groups». The present study aims to assess the data obtained from this observation for 2008–2018, as well as to compare the methodologies of Federal State Statistics Service (Rosstat) and the International Standard Classification of Occupations (ISCO-08). The impact of such relevant skills as emotional intelligence and data literacy on vocational training and the emergence of new professions associated with information economy is discussed. The comparative analysis demonstrated that the economy demands highly-qualified specialists in all Russian regions. Simultaneously, the research revealed the impossibility of considering the specificity of regional structures due to the insufficiency of information for predictive assessments of structural changes and the lack of data on occupations in small business and financial and social insurance sectors. According to the analysis of the dynamics of vacancies for various groups of occupations, the linear trend in the total amount of vacancies tends to decrease. The absence of relevant regional data prevents an in-depth analysis of regional differences and the construction of econometric models to identify the reasons for these differences. Additionally, it is impossible to assess the determinants of the lack of qualified staff by professional groups in Russian regions without these data. The study concludes that researchers and experts, using the Rosstat methodology, should not synonymise the concepts of occupation, speciality and type of activity. The research results can be used to expand Rosstat’s survey of occupations, in particular, its database for Russian regions, as well as to improve the methodology for statistical observation of occupational structure of the employed.


ILR Review ◽  
1989 ◽  
Vol 42 (4) ◽  
pp. 610 ◽  
Author(s):  
Andrew M. Gill

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