School of Geography - Theses
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ItemAsian migration and changing employment and occupation in Melbourne( 1997)This thesis examines the employment and occupation of South Asian migrants in Melbourne. To this end, census and cross sectional data from the Australian Bureau of Statistics (ABS) and Bureau of Immigration and Population Research (0FR) as well as the survey data collected for this study, are used. In this study special attention is paid to South Asian migrants in terms of their demographic and economic characteristics, occupational adjustment, job quality and process of self-employment. The analysis of South Asian migrants is made according to birthplace, gender and policy category under which they enter into Australia. In examining the South Asian migrants, the study reviews the relevant literature and existing theories and models about their economic success and occupational adjustment overseas and in Australia. In this regard the main factors that influence migrants' occupational adjustment and economic success in the host country have been identified at and applied to the study of South Asian migrants in Melbourne. The study also reviews the Victorian economy in this context. The study describes demographic and economic characteristics, general flow and skill composition of South Asian migrants in Australia. According to the BIPR and survey data, most of the migrants from Bangladesh, India and Sri Lanka are professional and came under the skill migration category. The data also show that South Asian migrants are distinctively different from other non-English speaking background migrants or other Asian migrants in respect of education, professional and occupational backgrounds and skills. The study examines transition and occupational adjustment, quality of jobs and experience of unemployment held by South Asian migrants in the local labour market. The data reveal that the majority of the qualified migrants from Bangladesh, India and Sri Lanka have adjusted well in their own profession through a sequence of jobs. A considerable number have regained either the same or higher status jobs compared to their pre-migration position. Although a considerable number of South Asian migrants have adjusted into occupations similar to their pre-migration occupations, the data show that they in fact status lost. The data also provide evidence that a significant number of migrants have shifted from professional and managerial to non-professional blue collar jobs in the process of their occupational adjustment in Melbourne. The findings reveal that the economic success and occupational adjustment of the migrants in the labour market vary according to birthplace and gender. Although the statistical test indicated that there is no significant difference between the present occupation status and policy category of the migrants, the chi square test indicates that there is some difference between birthplace groups in terms of the distribution of migrants' present occupation and industry. The chi-square test confirmed the significant difference between gender in terms of the distribution of migrants' present occupation. The evidence also shows that a significant number have not been able to enter the labour market since their arrival in Australia and were not able to utilise their professional, technical and academic skills.The study also examines the experiences of self-employed South Asian migrants. Again, the evidence suggests that the majority of these migrants are able to utilise their skills and potentials in their business. However, the case studies indicate that the career advancement of some migrants has been blocked due to this self-employment. The study also analyses the influence of structural change, particularly changes in employment and labour force characteristics, upon the participation of Asian migrants in different industries and occupations. The evidence reveals that South Asian migrants have been affected in terms of their participation according to industry and occupation due to the structural changes occurred in the 10 years to 1996. In conclusion, the study of South Asian migrants discussed relevant theories and models in the light of ABS and survey data. The examination of these data provides evidence that the human capital of migrants plays a significant role in their economic success and occupational adjustment particularly in terms of income and /or employment. In this regard they are able to utilise their skills and potentials in the local labour market. However, the theory of migrants has not paid attention to occupational status which this study identifies as an important indicator for economic success and occupational adjustment of South Asian migrants. The theory of migrants mainly focused on the overall labour market outcomes of the migrants in relation to employment, income differences, participation and unemployment rates.
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ItemAn impact analysis of enhanced-greenhouse climate change on the Australian alpine snowpack( 1997)This Thesis is concerned with the sensitivity response of the Australian alpine snowpack to the onset of possible enhanced-greenhouse climatic conditions in the 21st Century. The analysis procedure involved the use of both physical and empirical simulation models, and the various caveats associated with each of these components should be assessed when interpreting the results. A statistical downscaling model was constructed, which converted large-scale synoptic data into daily changes in the alpine snowpack. This snow model was calibrated for the Falls Creek site in the Victorian Alps (elevation 1649 m). The model was able to reproduce observed fluctuations in the observed snowpack when it was driven by largescale atmospheric temperature, humidity and airstream inputs. The research methodology used an extensive archive of daily output from the CSIRO 9- level General Circulation Model (GCM). This model incorporated a Mixed Layer Ocean, and operated at an R21 horizontal resolution. A daily-scale validation of a 24- year 1xCO2 control climatology revealed the existence of a number of biases within the simulated atmospheric fields. The most serious of these was a negative bias in tropospheric temperatures of between 2 C and 5 C. These biases were adjusted, and the GCM was used to drive the statistical snow model. The resulting simulation was successfully validated against observed data. The climate change sensitivity evaluation was conducted by applying a 29-year doubled-CO2 data-set from the CSIRO 9-level GCM to the statistical snow model. The resulting simulation showed an extremely high sensitivity response from the model site, with values such as mean snow cover duration and peak seasonal snow depth decreasing by over 90%. This was largely attributed to a particularly strong warming in the driving GCM of around 4.8 C. A range of further sensitivity perturbations were conducted by varying the input temperature fields (in both the GCM and observed atmospheric data-sets) by one degree Celsius increments. The mean snow model response suggested a quasi-exponential decay relationship, with the first degree of warming producing the strongest reduction in snow duration and snowpack depth. For example, mean maximum snow depths decreased by around 40% when the observed atmosphere was increased by 1 C. These changes were caused by a simultaneous decrease in snowfall and a very strong increase in ablation. Some preliminary impact analysis was conducted on various snow-affected sectors. Within the biophysical context, the snowmelt runoff into the Dartmouth Reservoir of northeast Victoria was calculated using a relatively simple terrain interpolation/snowmelt scheme. The seasonal runoff pattern was then perturbed to simulate an environment in which no alpine snowpack existed. The resulting runoff pattern contained an abnormally high mean winter maxima and a depressed spring inflow volume. A socioeconomic analysis was also conducted into the viability of the Australian winter tourism industry under a range of scenario conditions. A statistical regression relationship was delineated between the duration of the snowpack and visitation numbers at various alpine resorts. The analysis suggested that revenue generation and hence commercial feasibility could be threatened by a moderate reduction in the mean size of the Australian snowpack.