925 resultados para Rural women Queensland
Resumo:
Examines visitor attitudes and whether visitors are willing to pay to enter Lamington National Park and under what circumstances they would do so. First a sample of visitors is asked a general (normative) question as to whether visitors should pay to visit Lamington National Park and in another question (positive) they are asked whether they would be more willing to pay if the money collected would be invested in the park to improve visitor facilities and for conservation work. The results show that visitors are more willing to accept the ‘user-pays’ principle if the money will be used for the benefit of the national park and its visitors. It was found that foreigners are more in support for a ‘user-pay’ fee than Australians, and among Australians, those visitors from Queensland are the least willing to accept the idea of a user-pay fee to enter the park. The results indicate that if visitors can be shown the benefits (both for visitors and for conservation) of charging an entry fee, then visitors are more likely to support such a concept than when they are unaware of the benefits of a user-fee. The study shows that on average foreigners are willing to pay more than Australians. Finally, the regression results identify significant factors influencing visitors’ attitudes and suggested amounts to visit the national park.
Resumo:
Kenyan women have more children, especially in rural areas, than in most developing nations. This is widely believed to be an impediment to Kenya’s economic development. Thus, factors influencing family size in the Kenyan context are important for its future. A brief review of economic theories of fertility leads to the conclusion that both economics and social/cultural factors must be considered simultaneously when examining factors that determine the number of children in a family. The need to do this is borne out in Kenya’s situation by utilising responses from a random sample of rural households in the Nyeri district of Kenya. Economic and social/cultural factors intertwine to influence family sizes in this district. After providing a summary of the main statistical results from the survey, we use multiple regression analysis to explore the influences of a woman’s age, level of education, whether she has outside employment, whether the family keeps livestock, whether she expresses a preference for more boys than girls, whether the family uses only family labour (including child labour) and the size of the farm, which is used as a proxy for family income. It was found that preference for male children has an important positive influence on family size in this district. Women were found to have greater preference for male children than their male counterparts possibly because of their fear of being disinherited if they do not produce an heir for their husbands. Preference for sons was also found in allocation of human capital resources at the household level in that the female respondents were found to have lower levels of education than their male counterparts. Various long-term policies are outlined that may help to reduce the number of offspring of women in Kenya.
Resumo:
Assesses the status of women in Bangladesh by analysing the dynamics of female participation in labour force and education as well as gender earnings differentials at the macro level. The study finds evidence of growing commercialisation of women’s work in Bangladesh. Although the bulk of the female labour force is engaged in self-employment activities in the rural area or in low-skilled textile and readymade garment industries in the urban area, women’s participation in high-skill and entrepreneurial jobs as well as various decision-making bodies is also on the rise. While the gender wage differentials have been considerably reduced in many industries, in general women tend to be paid less than men. There have been remarkable improvements in women’s educational attainments compared to men. Further, female access to education is found to be highly correlated with overall female labour force participation, and relative to male participation. The overall results are suggestive of an improvement in the status of women in Bangladesh.
Resumo:
OBJECTIVES: 1. To critically evaluate a variety of mathematical methods of calculating effective population size (Ne) by conducting comprehensive computer simulations and by analysis of empirical data collected from the Moreton Bay population of tiger prawns. 2. To lay the groundwork for the application of the technology in the NPF. 3. To produce software for the calculation of Ne, and to make it widely available.