Displaying publications 1 - 20 of 88 in total

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  1. Williams CD
    Lancet, 1968 Oct 19;2(7573):868-9.
    PMID: 4175755
    Matched MeSH terms: Population Growth*
  2. Perkin GW
    Adv Fertil Control, 1969 Sep;4(3):37-42.
    PMID: 12146214
    Matched MeSH terms: Population Growth
  3. Fish M, Thompson AA
    Behav Sci, 1970 Jul;15(4):318-28.
    PMID: 5424500
    Matched MeSH terms: Population Growth*
  4. Arumanayagam P, San SJ
    Int J Epidemiol, 1972;1(2):101-9.
    PMID: 4204766
    Matched MeSH terms: Population Growth
  5. Hardee JG, Rahman SB, Ann TB
    Stud Fam Plann, 1973 May;4(5):111-3.
    PMID: 4710478 DOI: 10.2307/1964727
    Matched MeSH terms: Population Growth
  6. Sankaran S
    Finance Dev, 1973 Dec;10(4):18-21.
    PMID: 12257161
    Matched MeSH terms: Population Growth*
  7. Friedman B
    Soc Welfare (India), 1974 Dec 5;21(9):3.
    PMID: 12257917
    Matched MeSH terms: Population Growth*
  8. You Poh Seng Rao B, Shantakumar G
    Int Labour Rev, 1974 May-Jun;109(5-6):459-70.
    PMID: 12307191
    Matched MeSH terms: Population Growth*
  9. Hirschman C
    Demography, 1976 Nov;13(4):445-61.
    PMID: 992169
    The pace of urbanization in Peninsular Malaysia was slower in the most recent intercensal interval, 1957 to 1970, than in the previous period, 1947 to 1957. Most of the small change in the rural-urban balance from 1957 to 1970 appears due to the growth of towns into the urban classification rather than to a redistribution of population into the previous urban settlements. A number of towns in Peninsular Malaysia do show exceptional growth from 1957 to 1970, but there seems to be no clear relationship between a city's size and its subsequent growth. The rural areas on the outskirts of the largest cities do show rapid growth, especially the periphery of the capital city. It appears that neither the classic model of urbanization based upon Western experience nor the over-urbanization thesis explain the urbanization process in Peninsular Malaysia.
    Matched MeSH terms: Population Growth
  10. PMID: 12260392
    Matched MeSH terms: Population Growth*
  11. Johnson JT
    Stud Fam Plann, 1979 Jan;10(1):15-24.
    PMID: 442148 DOI: 10.2307/1966174
    Which factors have the greater influence on family planning performance: fixed background variables such as racial composition, urbanization, and mortality, which are affected by level of development, or program inputs such as assignment of personnel and location of clinics, which are subject to manipulation by administrators? An analysis of differences in family planning acceptance among 70 districts of Malaysia shows that two main program-manipulable variables--level of personnel deployment and accessibility of clinics--have the largest direct effect upon acceptance levels. Variations in background factors explain a smaller proportion.
    PIP: The application to the Malaysian family planning program of a conceptual model in which background factors, affected by the level of development, are distinguished from program input variables, subject to program manipulation, is considered in an effort to examine reasons for variations in program performance. Focus is particularly on the inputs of workers, who provide services and distribute supplies, and clinic facilities, through which services and supplies are made available. The questions asked concerned how their availability and use are affected by background factors, which themselves reflect to some extent the population's readiness to accept family planning. Distinguishing the program-manipulable factors from the background factors involved determination of the impact of both groups of variables, separately and together on levels of program acceptance, using appropriate bivariate and multivariate techniques. The evidence shows that in addition to background factors, over which program administrators can exercise no direct influence, there is a major contribution made to program acceptance through program factors over which the planner and administrator do have control. The 2 program variables contributed more in explaining performance levels than all 5 selected background variables combined, and the relative contribution of these program factors has increased over time. The key finding emerging from the different analyses is that program manipulable inputs are the dominant direct determinants of subsequent levels of family planning acceptance in Malayasia. Clearly, higher levels of development, as reflected in the measures of background variables, have facilitated acceptance, and background variables contributed significantly. Yet, whatever the level of development, the extent of deployment of program resources does significantly influence the level of program performance.
    Matched MeSH terms: Population Growth
  12. United Nations. Economic and Social Commission for Asia and the Pacific ESCAP. Population and Social Affairs Division
    PMID: 12278305
    Matched MeSH terms: Population Growth*
  13. Bul Keluarga, 1980 Apr.
    PMID: 12262045
    Matched MeSH terms: Population Growth*
  14. Peacock F
    J Dev Areas, 1981 Jul;15(4):639-54.
    PMID: 12337651
    Matched MeSH terms: Population Growth
  15. WHO Chron, 1981;35(5):163-7.
    PMID: 7324457
    Matched MeSH terms: Population Growth
  16. Data Asia, 1981 Feb;10(8):7691-2.
    PMID: 12262368
    Matched MeSH terms: Population Growth*
  17. Jayasuriya JE
    PMID: 12265642
    Matched MeSH terms: Population Growth*
  18. UNESCO. Regional Office for Education in Asia and the Pacific
    PMID: 12265663
    Matched MeSH terms: Population Growth*
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