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Women’s Asset Ownership: Evidence from Georgia; Mongolia; and Cavite, Philippines

Author

Listed:
  • Joshi, Kaushal

    (Asian Development Bank)

  • Swaminathan, Hema

    (Indian Institute of Management Bangalore)

  • Martinez, Jr., Arturo

    (Asian Development Bank)

  • Addawe, Mildred

    (Asian Development Bank)

  • Soco , Christian Flora Mae

    (Asian Development Bank)

Abstract

Since the implementation of the Millennium Development Goals, significant global progress has been achieved in promoting gender equality in education and health. However, progress has not been as remarkable in advancing women’s rights on asset ownership and control, which is critical for securing gender equity in economic participation and opportunity, and delivering on the Sustainable Development Goals. Part of the problem comes from the lack of standards on collecting sexdisaggregated data on the topic. The Evidence and Data for Gender Equality (EDGE) initiative aims to develop standardized methods and guidelines for collecting sex-disaggregated data on asset ownership. This paper provides rich inputs to the methodological guidelines being developed by the United Nations and development partners by drawing on the key findings from the pilot surveys conducted in Georgia; Mongolia; and Cavite, Philippines. Furthermore, survey results suggest substantive gender gaps in ownership across different types of assets and countries. These variations confirm the importance of understanding the social norms governing gender roles in society and legislation that can facilitate or impede women’s asset ownership.

Suggested Citation

  • Joshi, Kaushal & Swaminathan, Hema & Martinez, Jr., Arturo & Addawe, Mildred & Soco , Christian Flora Mae, 2019. "Women’s Asset Ownership: Evidence from Georgia; Mongolia; and Cavite, Philippines," ADB Economics Working Paper Series 571, Asian Development Bank.
    • Handle: RePEc:ris:adbewp:0571
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    References listed on IDEAS

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    More about this item

    Keywords

    asset ownership; gender equality; gender gaps;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

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