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Tracking Impact: Leveraging Pre-existing Monitoring Tools for Assessing Indonesia's Free Nutritious Meal (Makan Bergizi Gratis) Programme

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  • Putu Geniki Lavinia Natih

    (Department of Economics, Faculty of Economics and Business, Universitas Indonesia, West Java, Indonesia & Oxford Poverty and Human Development Initiative (OPHI), United Kingdom)

Abstract

Indonesia’s Makan Bergizi Gratis (MBG) programme is among the largest school feeding initiatives globally, yet its rapid scale-up has outpaced the development of a robust monitoring, evaluation, and learning (MEL) framework capable of assessing welfare-relevant outcomes. This paper examines whether pre-existing national survey instruments can be leveraged to strengthen outcome monitoring in the absence of MBG-specific microdata. Focusing on the Food Insecurity Experience Scale (FIES) collected through Indonesia’s National Socio-Economic Survey (Susenas), the study first situates experiential food insecurity within Indonesia’s broader food security landscape. It then applies a propensity score matching framework using participation in the Bantuan Pangan Non-Tunai (BPNT) programme as an illustrative case to assess the responsiveness of FIES to food assistance exposure. The results demonstrate that experiential food insecurity captures dimensions of vulnerability that are not fully reflected in consumption-based indicators. The measure also responds to food and dietary access related interventions. The paper argues that integrating FIES into MBG’s MEL architecture offers a feasible, scalable, and analytically robust approach to monitoring short- to medium-term programme outcomes and supports adaptive implementation of MBG.

Suggested Citation

  • Putu Geniki Lavinia Natih, 2025. "Tracking Impact: Leveraging Pre-existing Monitoring Tools for Assessing Indonesia's Free Nutritious Meal (Makan Bergizi Gratis) Programme," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 71, pages 103-139, December.
  • Handle: RePEc:lpe:efijnl:202507
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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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