{"id":346426,"date":"2025-09-17T18:35:56","date_gmt":"2025-09-17T13:05:56","guid":{"rendered":"https:\/\/forumias.com\/blog\/?page_id=346426"},"modified":"2025-09-17T18:35:56","modified_gmt":"2025-09-17T13:05:56","slug":"answered-indias-economic-ambitions-need-better-gender-data-examine-how-an-index-on-womens-economic-empowerment-can-be-a-policy-tool-for-promoting-inclusive-growth-and-addressing-g","status":"publish","type":"page","link":"https:\/\/forumias.com\/blog\/answered-indias-economic-ambitions-need-better-gender-data-examine-how-an-index-on-womens-economic-empowerment-can-be-a-policy-tool-for-promoting-inclusive-growth-and-addressing-g\/","title":{"rendered":"[Answered] India\u2019s economic ambitions need better gender data. Examine how an index on women\u2019s economic empowerment can be a policy tool for promoting inclusive growth and addressing gender disparities."},"content":{"rendered":"

Introduction
\n<\/strong><\/h2>\n

According to the World Economic Forum\u2019s Global Gender Gap Report 2024<\/strong>, India ranks 129\/146<\/strong>, with women contributing only 18% to GDP<\/strong>. Robust gender-disaggregated data is critical for bridging disparities and driving inclusive growth.<\/p>\n

Need for Gender Data in India\u2019s Growth Ambitions<\/strong><\/h2>\n
    \n
  1. Economic Imperative<\/strong>: Women\u2019s labour force participation rate (LFPR) stands at 41.7%<\/strong>, but only 18% in formal jobs<\/strong>. McKinsey Global Institute (2015)<\/strong> estimated India could add $700 billion to GDP by 2025<\/strong> through gender parity.<\/li>\n
  2. Policy Blind Spots<\/strong>: Existing indices (Human Development Index, Ease of Doing Business, NITI Aayog\u2019s SDG Index) often lack gender disaggregation. Without granular gender data, systemic inequalities remain invisible, perpetuating exclusion.<\/li>\n<\/ol>\n

    The Women\u2019s Economic Empowerment (WEE) Index: A Policy Tool<\/strong><\/h2>\n
      \n
    1. Design and Dimensions<\/strong>: Piloted in Uttar Pradesh<\/strong>, the WEE Index<\/strong> tracks five levers: employment, education\/skilling, entrepreneurship, livelihood\/mobility, and safety\/inclusive infrastructure<\/strong>. Moves beyond surface participation rates to identify structural drop-offs<\/strong> (e.g., skilling \u2192 entrepreneurship \u2192 credit).<\/strong><\/li>\n
    2. Catalytic Example<\/strong>: Data in UP\u2019s transport sector revealed negligible women bus drivers and conductors. This led to redesigned recruitment and gender-sensitive infrastructure<\/strong> (e.g., restrooms in bus stations). Demonstrates how visibility triggers reform<\/strong>.<\/li>\n
    3. Systemic Insights<\/strong>: Despite women forming >50% of skilling programme enrolments<\/strong>, their entrepreneurship and credit access remain disproportionately low. Identifies finance and mobility barriers<\/strong>, enabling targeted interventions.<\/li>\n<\/ol>\n

      Broader Policy Applications of Gender Indices<\/strong><\/h2>\n
        \n
      1. Mainstreaming Gender in Governance<\/strong>: Embedding gender data into departmental MIS<\/strong> (transport, MSMEs, housing, etc.) ensures every rupee is tracked for its impact on women. Facilitates evidence-based policymaking<\/strong> rather than assumption-driven schemes.<\/li>\n
      2. Gender-Responsive Budgeting (GRB)<\/strong>: India introduced GRB in 2005\u201306<\/strong>, but it remains siloed. A WEE Index<\/strong> can link budget allocations<\/strong> to measurable gender outcomes, making expenditure more accountable.<\/li>\n
      3. Replication Potential Across States<\/strong>: States like Maharashtra, Odisha, Telangana, Andhra Pradesh<\/strong> with trillion-dollar growth goals can adapt the UP model.<\/strong> District-wise gender scorecards can feed into State Action Plans for Women\u2019s Economic Empowerment<\/strong>.<\/li>\n
      4. Global Parallels<\/strong>: Gender Equality Index (EU)<\/strong> measures domains like work, money, knowledge, time, and health to guide funding priorities. African Gender Index (UNECA)<\/strong> integrates gender data into economic reforms. India\u2019s WEE Index can mirror these best practices with localised focus.<\/li>\n<\/ol>\n

        Challenges and Way Forward<\/strong><\/h2>\n
          \n
        1. Data Gaps<\/strong>: Quality, frequency, and comparability of gender data remain weak.<\/li>\n
        2. Capacity Constraints<\/strong>: Local governments require training for data collection and use.<\/li>\n
        3. Intersectionality<\/strong>: Must track caste, region, and age-based disparities within gender.<\/li>\n
        4. Digital Tools<\/strong>: Use of AI and big data analytics<\/strong> can strengthen predictive insights into female workforce trends.<\/li>\n<\/ol>\n

          Conclusion<\/strong><\/h2>\n

          Expanding women\u2019s capabilities<\/strong> is central to growth<\/strong>; robust indices like the WEE<\/strong> can transform gender equity into India\u2019s economic advantage.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

          Introduction According to the World Economic Forum\u2019s Global Gender Gap Report 2024, India ranks 129\/146, with women contributing only 18% to GDP. Robust gender-disaggregated data is critical for bridging disparities and driving inclusive growth. Need for Gender Data in India\u2019s Growth Ambitions Economic Imperative: Women\u2019s labour force participation rate (LFPR) stands at 41.7%, but only… Continue reading [Answered] India\u2019s economic ambitions need better gender data. Examine how an index on women\u2019s economic empowerment can be a policy tool for promoting inclusive growth and addressing gender disparities.<\/span><\/a><\/p>\n","protected":false},"author":10320,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"class_list":["post-346426","page","type-page","status-publish","hentry","entry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/pages\/346426","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/users\/10320"}],"replies":[{"embeddable":true,"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/comments?post=346426"}],"version-history":[{"count":0,"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/pages\/346426\/revisions"}],"wp:attachment":[{"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/media?parent=346426"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}