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This paper proposes a conceptual and empirical framework to develop rural transformation strategies tailored to the agroecological potential and market access of rural areas in Pakistan. Such a framework allows to move away from stereotypical countrywide policies as in use in Pakistan and many other countries. Using publicly available geospatial measures of vegetation greenness and an urban gravity model to proxy the agricultural market demand, we classify Pakistan's rural districts into categories with similar comparative advantages and describe dominant livelihood activities. The framework recommends market-based approaches to support commercial agriculture or non-agriculture business development in well-connected areas and where households have accumulated human and physical capital. In areas with less developed agricultural potential or market access, households will benefit from area-based and community-driven development, skill development, and labor programs. Since data collection is often challenging in rural areas, statistical agencies can use such an empirical framework to advise policymakers on prioritizing public investments and tailoring rural transformation pathways. In addition, statistical agencies can also extend the framework at different levels of resolution, from national to local level, and complement it with primary data sources to validate the usefulness of the approach. [ABSTRACT FROM AUTHOR]

This paper proposes a conceptual and empirical framework to develop rural transformation strategies tailored to the agroecological potential and market access of rural areas in Pakistan. Such a framework allows to move away from stereotypical countrywide policies as in use in Pakistan and many other countries. Using publicly available geospatial measures of vegetation greenness and an urban gravity model to proxy the agricultural market demand, we classify Pakistan's rural districts into categories with similar comparative advantages and describe dominant livelihood activities. The framework recommends market-based approaches to support commercial agriculture or non-agriculture business development in well-connected areas and where households have accumulated human and physical capital. In areas with less developed agricultural potential or market access, households will benefit from area-based and community-driven development, skill development, and labor programs. Since data collection is often challenging in rural areas, statistical agencies can use such an empirical framework to advise policymakers on prioritizing public investments and tailoring rural transformation pathways. In addition, statistical agencies can also extend the framework at different levels of resolution, from national to local level, and complement it with primary data sources to validate the usefulness of the approach. [ABSTRACT FROM AUTHOR]