Social forecasting: An integral part of corporate planning?

The increasing need for business to monitor the social dimensions of its environment and, hopefully make some forecasts of future trends has met with some constructive response from academics and consultants although not as yet on a very liberal scale. The published literature does not indicate to what extent companies in general attemp social forecasting and, where they do, the degree of integration which exists within their corporate planning systems. The authors, therefore, decided to survey a sample of British organizations to see if they could shed some light on these issues and thereby add some information to the excellent accounts of individual cases of social forecasting in, they suspect, the more advanced and atypical companies. The survey suggests a general picture of: awareness of the value of social forecasting; fairly widespread ignorance of the techniques which do exist, primitive though these may largely be; successful integration of social forecasting into the corporate planning systems of a substantial number of organizations but not in the majority.     

There is no low-level fertility and development trap

Summary The theory of the low-level equilibrium trap asserts that an increase in income stimulates population growth sufficiently so that the additional people 'eat up' the 'surplus' over subsistence, and hence drive the level of income back to subsistence. Originally the theory referred primarily to mortality, but nowadays its application is to fertility. In the long-run equilibrium context in which the theory is ordinarily presented, the fact that the long-run elasticity of fertility with respect to income is negative in less developed countries fatally contradicts the accepted version of the trap. But to give every chance for trap theory to be meaningful, the paper presents a period-by-period analysis, embodying larger-than-observed positive elasticities during the early years and the logically necessary counterbalancing negative elasticities during the later years. These elasticities are combined with consumption and production figures for various age groups to estimate the effect in each year after the windfall, and altogether. The results show that even under assumptions not charitable to the conclusion of this paper, additional children do not even come close to 'eating up' the increase in income which induced their births, so that the trap theory is falsified.     

Regression of area mortality rates on explanatory variables: what weighting is appropriate?

"One can often gain insight into the aetiology of a disease by relating mortality rates in different areas to explanatory variables. Multiple regression techniques are usually employed, but unweighted least squares may be inappropriate if the areas vary in population size. Also, a fully weighted regression, with weights inversely proportional to binomial sampling variances, is usually too extreme. This paper proposes an intermediate solution via maximum likelihood which takes account of three sources of variation in death rates: sampling error, explanatory variables and unexplained differences between areas. The method is also adapted for logit (death rates), standardized mortality ratios (SMRs) and log (SMRs). Two [United Kingdom] examples are presented."     

Reaching children at risk: a model for training child welfare specialists

An innovative model for the training of social welfare students in the special skills essential in child welfare work is predicated upon a classification system of children at risk and a continuum of services.     

Helping black grandparents and older parents cope with child rearing: a group method

The extended family and informal adoption practices of the black culture are frequently misunderstood by workers from different backgrounds. Particularly prominent is the responsibility for child rearing assumed by older family members. The authors present procedures, issues, and argument for use of a group method to strengthen the coping abilities of these families through attention to the needs of their senior members.     

Location of community-based treatment centers

Neighborhood opposition to community-based treatment centers (CBTCs) has prompted fears that these centers will become concentrated in inner city, "transitional neighborhoods." These neighborhoods are thought to lack the willingness and/or resources to oppose CBTCs. This paper examines the distribution of CBTCs in a northern metropolitan county. The findings suggests that the fears of "ghettoization" may be real only for certain types of centers. Most centers were located in higher-status city and suburban neighborhoods. However, these centers were physically or visually isolated from the surrounding housing, making them less likely to attract attention and therefore less likely to arouse neighborhood opposition.