Assessing the Demographic Impact of Development Projects: by A. S. Oberai

By A. S. Oberai

Little or no is presently recognized in regards to the demographic influence of so much improvement tasks and the ways that this effect could be assessed. This publication, in keeping with reviews in 3rd international nations, makes a speciality of conceptual, methodological and coverage concerns in its assessment of the demographic effect of improvement initiatives. the writer examines no matter if demographic results could be assessed and why improvement planners could be attracted to the consequences. A.S. Oberai examines to what quantity fiscal and social levels generated by means of particular improvement interventions have stimulated demographic habit in a selected context. He indicates how wanted results will be more advantageous and bad results minimized by way of policy-makers and planners in constructing international locations for you to care for difficulties of inhabitants development and its distribution. the most important shortcomings of present methodologies are pointed out and destiny instructions which study may perhaps take are defined. The examine is predicated on a synthesis of state reviews reviewing the demographic influence of improvement tasks conducted in Bangladesh, Indonesia, the Philippines and Thailand. it is also analyses of the demographic effect of improvement interventions in different different international locations reminiscent of Brazil, Colombia, Costa Rica, India, and Nigeria. released for the overseas Labour corporation

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But whether and to what extent irrigation will affect demographic variables, both at the household and at the community level depends on its duration of operation, its rate of utilization and the way it affects the economic and social conditions in the areas it serves. If an irrigation system benefits only ‘rich’ households and leads to concentration of land ownership, then the effect of the irrigation system in reducing fertility and out-migration will be less than where benefits are more equitably distributed.

The only difference was that while El Peñón was fully electrified in 1976, Villa Gómez, which was only partially electrified, extended its school programme by two years in 1977–8. m. ’ (ter-Wengel, 1985, p. 56). 6 Estimated regression equation for the determinants of current fertility (since 1976) among married women in Cagayan Valley (the Philippines), 1980 (t-values are given in brackets) Notes: a b c Significant at 1 per cent Significant at 5 per cent Significant at 10 per cent Source: Herrin (1988).

Most studies that include data on size of landholdings and fertility are not primarily directed at estimating or understanding this relationship but use land as a measure of socio-economic status, wealth or involvement in the agricultural sector. The interpretation given to those findings that do emerge is therefore largely ad hoc in nature. Conceptual questions may be raised as to the causal direction of the effect—that is, whether those with larger holdings have higher fertility, or those with high fertility are able to acquire more land.

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