Human genetic technology: who shall control?

The biotechnical "revolution" has fast come upon us. It promises to produce both substantial benefits and difficult dilemmas for individuals and society. Despite the growing attention being paid to biotechnology, a major unanswered question is who shall control the development and use of the powerful array of human genetic and reproductive innovations. Should the decisions be left to individual consumers and private industry or should they be made by the government or other social institutions? After briefly reviewing development in human genetics and reproduction and describing trends toward commercialization of them, this article discusses the dilemmas these trends raise for a democratic society. It argues for the urgent need to delineate societal goals and priorities for the future and for technology assessment as early as possible in the developmental process. The article concludes by presenting some examples of the social policy problems now emerging.     

Selectivity,adaptation, or disruption? A comparison of alternative hypotheses on the effects of migration on fertility: the case of Brazil

This study, based on Brazilian data from 1976, compared the fertility of migrants and stayers at both origin and destination areas. Observed patterns of fertility differentials were then analyzed in terms of 4 hypotheses of fertility behavior focused on processes of socialization, adaptation, selectivity, and disruption. In the study sample, 31% of migrants moved from rural to urban areas, 45% of moves were between urban areas, and 20% of moves were between rural areas. Among rural-to-urban migrants, only 1/3 moved from traditional to modern regions. To uncover the main patterns of migrant and stayer fertility differentials in the study population, the major flows of migrants by origin and destination were disaggregated by recency of migration, education, and age. The overall conclusions were as follows: 1) rural-urban migration flows need to be disaggregated into various modern/traditional cross-classifications (e.g., modern-rural, traditional-urban, frontier-urban) and greater emphasis needs to be placed on rural-urban, urban-urban, and rural-rural flows; 2) no robust quantitative measures of migrant-stayer fertility differentials held across migrant groups, implying that migrants differing in terms of age, education, origin, and destination are likely to behave in significantly variable fashion with regard to stayer standards of fertility behavior; 3) migrant groups with overall lower fertility levels, such as the young and better educated, are less likely to experience significant fertility reduction to bridge the origin/destination fertility gap; 4) rural-to-rural migrants do not appear to experience any lasting fertility reduction even when they move to areas with lower overall fertility rates; 5) urban-to-rural migrants tend to bridge a larger fraction of the uphill fertility gap than rural-to-urban migrants; and 6) there was evidence of partial adaptation for most migrant categories once disruption effects disappear and evidence consistent with the socialization hypothesis (no fertility reduction for at least 1 generation) was apparent for migrants originating in the least developed parts of Brazil, the frontier region, and the traditional-rural region.     

The health demographic profile system: current and longitudinal data base for social area analysis

The development of the Health Demographic Profile System, which is based on the 1980 census, is described. The system includes social and economic indicators designed to identify high risk target populations, in terms of mental health and general health service needs, as well as to describe the social and economic structure of both mental health service and other small geographic areas. The report describes: (1) the original system, that is, the Mental Health Demographic Profile System (MHDPS), which is based on the 1970 census, including details of the approach and content, (2) the 1980 provisional indicators and planned products, (3) plans for the development of a longitudinal system based on 1960, 1970, and 1980 data, and (4) current and future studies related to the 1980 Health Demographic Profile System.     

Migration, remittances and rural development: findings of a case study in the Indian Punjab

Rural household survey data in the Ludhiana district of the Indian Punjab was used to study the nature and role of remittances in rural development. Of the 1646 outmigrants from the area since 1961, the 949 women who migrated for marriage and children under 12 years old were excluded from the study. Nearly all husbands who outmigrated had sent remittances. Parents and grandparents were 2nd and 3rd most likely to remit, but their numbers were small. Education did not correlate with remittance. Distance and time since emigration did not affect remittance. The frequency and the size of remittances are discussed. Remittances to outmigrants were insignificant. The remittances from outmigrants seem to raise the incomes and the levels of living of rural households. The remittances serve the purpose of redistributing income from urban to rural areas. Remittances also widened the gap between rich and poor in the rural areas because the better-off groups were more likely to receive remittances than the poorer groups. Most of the money sent from outmigrants was spent on consumable goods, food and clothing. Only a small proportion was spent on productive investment. This was usually done by farming families who invested in land or farm necessities. It is concluded that remittances from outmigrants can have a positive effect on the rural economies. Investment opportunities for nonagricultural families must be provided.     

Optimal Times to Contact Sample Households

Finding a suitable respondent at home is an essential and expensivecomponent of a household survey. This article reports on theresults of a study of the probabilities of finding someone aged14 or older at home and discusses the application of such datato survey design and budgeting.