Author
Abstract
Two features of population planning are of special interest to operations researchers: the important interaction among family planning, health, and economic development, and the substantial but varying impact of social, cultural, political, and economic factors—features that require a multi-disciplinary, flexible approach for which operations research is well suited. In spite of the vast differences among various international settings, three overriding principles should be borne in mind. First, programs of population planning are designed to serve national goals, whereas the ultimate actions concerning family limitation are usually recognized to be private family decisions. Second, one usually faces a rather ill-defined interplay among a great variety of factors. Third, the universal importance of the population problem in developing countries is always coupled with severe limitations of resources to cope with the problem. This paper deals initially with the family decision process and then with the organization of professional activities toward population control. In both cases hypothetical models are developed, information from the field is used to illustrate their significance, and suggestions for further research are offered. The decision model considers the utility of child-bearing for different population groups compared with the subjective valuation these groups give to contraception. Means of measuring these poorly defined values are proposed. In assessing the role of operations research in the organization and delivery of family planning services, the paper directs attention to the allocation problem, which includes concern, on the one hand, for the methods of contraception provided, the manner in which they are offered, and the kinds of personnel employed, and, on the other hand, the attitudes of target populations toward both the services and the providers.
Suggested Citation
William A. Reinke, 1970.
"The Role of Operations Research in Population Planning,"
Operations Research, INFORMS, vol. 18(6), pages 1099-1111, December.
Handle:
RePEc:inm:oropre:v:18:y:1970:i:6:p:1099-1111
DOI: 10.1287/opre.18.6.1099
Download full text from publisher
Citations
Citations are extracted by the
CitEc Project, subscribe to its
RSS feed for this item.
Cited by:
- Kenneth Terhune & Sol Kaufman, 1973.
"The family size utility function,"
Demography, Springer;Population Association of America (PAA), vol. 10(4), pages 599-618, November.
- Charles Lawrence & Axel Mundigo & Charles ReVelle, 1972.
"A mathematical model for resource allocation in population programs,"
Demography, Springer;Population Association of America (PAA), vol. 9(3), pages 465-483, August.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:oropre:v:18:y:1970:i:6:p:1099-1111. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.