<p>The study examines the participation of African immigrants in the South African labour force with the central question revolving around whether the immigrants create jobs through the establishment of their own businesses or take jobs from the locals. Analytical frame work used in this study includes descriptive statistics, chi-square test for association and standardized residuals, two-way analysis of variance and logistic regression. Demographic, locational and socio-economic characteristics were studied using descriptive and inferential statistical analysis. Two-factor analysis of variance was used to examine the differences on average in the African immigrants&rsquo / participation in the labour force, while logistic regression was used to investigate the effect of some demographic characteristics on employment and work status.</p>

<p>The study examines the participation of African immigrants in the South African labour force with the central question revolving around whether the immigrants create jobs through the establishment of their own businesses or take jobs from the locals. Analytical frame work used in this study includes descriptive statistics, chi-square test for association and standardized residuals, two-way analysis of variance and logistic regression. Demographic, locational and socio-economic characteristics were studied using descriptive and inferential statistical analysis. Two-factor analysis of variance was used to examine the differences on average in the African immigrants&rsquo / participation in the labour force, while logistic regression was used to investigate the effect of some demographic characteristics on employment and work status.</p>

Magister Philosophiae - MPhil / The study examines the participation of African immigrants in the South African labour force with the central question revolving around whether the immigrants create jobs through the establishment of their own businesses or take jobs from the locals. Analytical frame work used in this study includes descriptive statistics, chi-square test for association and standardized residuals, two-way analysis of variance and logistic regression. Demographic, locational and socio-economic characteristics were studied using descriptive and inferential statistical analysis. Two-factor analysis of variance was used to examine the differences on average in the African immigrants; participation in the labour force, while logistic regression was used to investigate the effect of some demographic characteristics on employment and work status. / South Africa

This dissertation has two major sections. The first section focuses on analyzing objective data gathered from public sources to investigate factors influencing industrial location to Texas. Areas of investigation include (1) where Texas stands--on economic, demographic, sociologic, climatic, and technological terms--in relation to the remaining forty-seven contiguous states; (2) what are the locational characteristics of Texas compared to other states; and (3) what types of industry move to Texas and from where. Regional and state comparisons are also made in terms of factors that can influence business success. The second section is concerned with analyzing survey data gathered from three test groups. The three groups are (1) civic interest groups consisting of Texas mayors, city managers, and chamber of commerce executives; (2) manufacturing executives who have located a new plant in Texas from outside the state since 1978; and (3) out-of-state manufacturing executives who have considered Texas as a possible location but decided not to locate within the state during the period 1978-1983. The major purposes of this section are to determine (1) whether manufacturing executives and Texas community leaders possess different views concerning the relative importance of location factors and factors that are specifically advantageous to the state of Texas, (2) what factors motivate out-of-state manufacturers to select Texas as a location for their plant, and (3) what factors they see as disadvantages. A comparison is made between the findings of the survey data and the objective data. A variety of nonparametric statistical tests are used in testing the hypotheses.