Mortality, fertility, and gender bias in India: A district-level analysis

被引:236
|
作者
Murthi, M
Guio, AC
Dreze, J
机构
[1] UNIV SUSSEX,BRIGHTON,E SUSSEX,ENGLAND
[2] CTR RECH ECON DEV,NAMUR,BELGIUM
[3] DELHI SCH ECON,CTR DEV ECON,DELHI,INDIA
关键词
D O I
10.2307/2137773
中图分类号
C921 [人口统计学];
学科分类号
摘要
This article examines the determinants of fertility, child mortality, and gender bias in child survival in India using district-level data from the 1981 census. A common set of explanatory variables is used, including male and female literacy, the level of poverty, female labor force participation, urbanization, health care facilities, and other socioeconomic variables. The analysis demonstrates the powerful demographic influence of variables that relate directly to women's agency, notably female literacy and labor force participation. The former, in particular, significantly reduces child mortality, fertility levels, and the female disadvantage in child survival. The latter has no statistically significant effect on the level of child mortality, but reduces gender bias in child survival as well as fertility levels. Variables reflecting the general level of development and modernization have a negative but comparatively weak impact on mortality and fertility levels, and, if anything, amplify rather than reduce the gender bias in child survival. In particular, the female disadvantage in child survival is significantly lower in districts with higher poverty levels.
引用
收藏
页码:745 / &
页数:39
相关论文
共 50 条
  • [1] INEQUALITIES IN CHILD MORTALITY IN INDIA A district-level analysis
    Bhattacharya, Prabir C.
    Chikwama, Cornilius
    ASIAN POPULATION STUDIES, 2011, 7 (03) : 243 - 261
  • [2] The China trade shock and the gender wage gap in India: A district-level analysis
    Saha, Kajari
    INDIAN ECONOMIC REVIEW, 2024, 59 (01) : 169 - 200
  • [3] Rural-urban differentials in fertility levels and fertility preferences in West Bengal, India: a district-level analysis
    Chatterjee, Sayantani
    JOURNAL OF BIOSOCIAL SCIENCE, 2020, 52 (01) : 117 - 131
  • [4] Rural to Urban Migration: A District-Level Analysis for India
    Mitra, Arup
    Murayama, Mayumi
    INTERNATIONAL JOURNAL OF MIGRATION HEALTH AND SOCIAL CARE, 2009, 5 (02) : 35 - 52
  • [5] Revisiting climatic classification in India: A district-level analysis
    Raju, B.M.K. (bmkraju@yahoo.com), 1600, Indian Academy of Sciences (105):
  • [6] Revisiting climatic classification in India: a district-level analysis
    Raju, B. M. K.
    Rao, K. V.
    Venkateswarlu, B.
    Rao, A. V. M. S.
    Rao, C. A. Rama
    Rao, V. U. M.
    Rao, B. Bapuji
    Kumar, N. Ravi
    Dhakar, R.
    Swapna, N.
    Latha, P.
    CURRENT SCIENCE, 2013, 105 (04): : 492 - 495
  • [7] Hearts and mines: A district-level analysis of the Maoist conflict in India
    Hoelscher, Kristian
    Miklian, Jason
    Vadlamannati, Krishna Chaitanya
    INTERNATIONAL AREA STUDIES REVIEW, 2012, 15 (02) : 141 - 160
  • [8] The Location Choices of Foreign Investors: A District-level Analysis in India
    Mukim, Megha
    Nunnenkamp, Peter
    WORLD ECONOMY, 2012, 35 (07): : 886 - 918
  • [9] Reading the geography of India's district-level fertility differentials: a spatial econometric approach
    Haque, Ismail
    Das, Dipendra
    Patel, Priyank Pravin
    JOURNAL OF BIOSOCIAL SCIENCE, 2019, 51 (05) : 745 - 774
  • [10] An epidemiological study of cervical and breast screening in India: district-level analysis
    Monica
    Mishra, Raman
    BMC WOMENS HEALTH, 2020, 20 (01)