Azka Muthia

Assessing the Role of Social Assistance in Achieving Food Security Among Multidimensionally Poor Households in Central Java

Introduction

Assessing the role of social assistance in achieving food security among multidimensionally poor households in central java. Assesses social assistance's role in food security for multidimensionally poor households in Central Java. Finds aid often misdirected, improving quantity but not quality. Urges better targeting.

Abstract

Poverty is a multidimensional phenomenon strongly linked to food insecurity. In Central Java Province, there has been a noticeable increase in food consumption inadequacy, coupled with the issue of misdirected aid recipients. The provincial government's policy focus is poverty alleviation and enhancing food security, primarily through social assistance programs. This research utilizes March 2022 Susenas data and employs Propensity Score Matching (PSM) and ordinal logistic regression methods. The analysis reveals that a multidimensional approach to poverty significantly impacts food security in Central Java. Moreover, using Propensity Score Matching (PSM), the results show that the social assistance provided has no positive effect on the food access and food utilization dimensions for multidimensional poor households, except for those receiving both food and non-food assistance. This highlights an ongoing issue of misdirected aid. Additionally, while social assistance increases the quantity of food, it does not lead to improvements in food quality. One key implication of this study is the critical need to ensure that social assistance is accurately targeted to households. To address this, the government should consider developing a program that empowers the integrated data system of Central Java, incorporating a more precise spatial mapping approach.

Review

The paper, "Assessing the Role of Social Assistance in Achieving Food Security Among Multidimensionally Poor Households in Central Java," tackles a highly relevant and pressing issue concerning the effectiveness of social welfare programs in combating food insecurity within a context of multidimensional poverty. The authors aptly identify a critical problem in Central Java: increasing food consumption inadequacy exacerbated by misdirected aid. By focusing on multidimensionally poor households, the study adopts a comprehensive lens, acknowledging the complex interplay of factors contributing to food insecurity. The utilization of recent Susenas data alongside rigorous methodologies like Propensity Score Matching (PSM) and ordinal logistic regression signals a commitment to providing robust and empirically grounded insights into the causal impact of social assistance. The findings of this research present several critical observations that warrant serious attention. While confirming the expected link between a multidimensional approach to poverty and food security, the study strikingly reveals that general social assistance largely fails to positively impact food access and utilization for multidimensionally poor households. This suggests a significant disconnect between program intent and actual outcomes, with the notable exception of households receiving *both* food and non-food assistance, which *do* show positive effects. Furthermore, the nuanced finding that social assistance increases food quantity but not food quality highlights a fundamental limitation in addressing comprehensive nutritional needs. These results strongly corroborate the ongoing issue of misdirected aid, exposing a critical flaw in current implementation strategies. The implications of this study are far-reaching and provide a clear directive for policymakers. The overarching message is the urgent need to overhaul the targeting mechanisms of social assistance to ensure aid reaches its intended beneficiaries effectively. The authors' recommendation to empower Central Java's integrated data system with precise spatial mapping offers a practical and data-driven solution to enhance program efficiency and accountability. Future research could further explore the synergistic effects of combined food and non-food assistance, delve into the specific barriers hindering improvements in food quality, or conduct longitudinal studies to assess the sustained impact of proposed data system enhancements. Overall, this paper makes a significant contribution to the literature by providing actionable evidence for improving the efficacy of social safety nets in tackling food insecurity.

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