4 resultados para DEVELOPMENT ASSISTANCE

em University of Queensland eSpace - Australia


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Although considerable attention has been given to ethical issues related to clinical research in developing countries, in particular related to HIV therapy, there has been limited focus on health systems research, despite its increasing importance in the light of current trends in development assistance. This paper examines ethical issues related to health systems research in 'post'-conflict situations, addressing both generic issues for developing countries and those issues specific to 'post'-conflict societies, citing examples from the author's Cambodian experience. It argues that the destruction of health infrastructure results in a loss of structures and processes that would otherwise protect prospective research subjects who are part of vulnerable populations. It identifies the growth of health systems research as part of a trend towards sectoral and programmatic development assistance, the emergence of 'knowledge generation' as a form of research linked to development, and the potential for conflict where multilateral and bilateral donors are both primary funders and users of health systems research. It also examines the position of the health system researcher in relation to the sponsors of this research, and the health system being analysed.

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Life cycle models have become important in explaining the changing size structure of firms based on the carrying capacity of regions or industries. In particular, the population ecology model predicts stages of growth, maturity and eventually decline in the number of firms in an industry. There has been criticism of such models because of their focus on external variables as pre-determinants of the potential for enterprise development. This paper attempts to reconcile the external focus of the population ecology model with relevant internal management factors in enterprise development. A survey was conducted of Australian services exporters, and the results not only confirm the existence of four separate life cycle stages in the population ecology model, but also identify the external and internal variables that are strategically relevant at each of the stages. The findings provide potentially useful information in a range of contexts including the design of small business assistance as well a providing “guide posts” to entrepreneurs engaged in enterprise development.