Articles
<![CDATA[The Household Food Insecurity Amidst the Covid-19 Pandemic in Indonesia ]]>
<![CDATA[Anwar, Muhammad]]>;
<![CDATA[Nasrudin, Rus'an]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 14, No 2 (2021): September 2021 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v14i2.28511
<![CDATA[The Coronavirus Disease 2019 (Covid-19) pandemic creates both the demand and supply shocks problem that may affect the households’ food insecurity. Among mechanisms, it ranges from the limited physical access to food due to social distancing to the drop in economic access to food due to (partial) lockdown. This study aims to lay out an early warning assessment of the food security situation in Indonesia amidst the Covid-19 outbreak. We use the cartogram analysis which visualize the geographical features throughout the Indonesia archipelago, both in the small and big island setting. The analysis involves the use of both the simple score and latent measurement-based scale of the Rasch model for the food insecurity based on the Susenas data from 2017-2019. The finding reveals that there existed a variation of the household proportion that suffers from severe food insecurity across the Indonesia archipelago. The more eastern the island, the worse the measure is. Papua and Maluku suffer more from such condition compared to the other big islands. As the government has applied any containment measures, the surge in Covid-19 cases may potentially worsen both the existing households under severe food insecurity and even create new households under such conditions.]]>
<![CDATA[The Household Food Insecurity Amidst the Covid-19 Pandemic in Indonesia ]]>
<![CDATA[Anwar, Muhammad]]>;
<![CDATA[Nasrudin, Rus'an]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 14, No 2 (2021): September 2021 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
Show Abstract
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DOI: 10.15294/jejak.v14i2.28511
<![CDATA[The Coronavirus Disease 2019 (Covid-19) pandemic creates both the demand and supply shocks problem that may affect the households’ food insecurity. Among mechanisms, it ranges from the limited physical access to food due to social distancing to the drop in economic access to food due to (partial) lockdown. This study aims to lay out an early warning assessment of the food security situation in Indonesia amidst the Covid-19 outbreak. We use the cartogram analysis which visualize the geographical features throughout the Indonesia archipelago, both in the small and big island setting. The analysis involves the use of both the simple score and latent measurement-based scale of the Rasch model for the food insecurity based on the Susenas data from 2017-2019. The finding reveals that there existed a variation of the household proportion that suffers from severe food insecurity across the Indonesia archipelago. The more eastern the island, the worse the measure is. Papua and Maluku suffer more from such condition compared to the other big islands. As the government has applied any containment measures, the surge in Covid-19 cases may potentially worsen both the existing households under severe food insecurity and even create new households under such conditions.]]>
<![CDATA[Where do Energy-Poor Households Live? Empirical Evidence from Indonesia ]]>
<![CDATA[Hasibuan, Dewi Yuliandini]]>;
<![CDATA[Nasrudin, Rus'an]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 15, No 1 (2022): March 2022 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v15i1.31290
<![CDATA[Empirical analysis on the links between geography and energy access in archipelago setting is still limited. In particular, the territorial identification of energy poverty in Indonesia is still missing. Our study maps geographical location and estimates factors that determines the probability of being energy poor household in relation to electricity. We used the OLS (Ordinary Least Square) estimation and utilized the socioeconomic survey (Susenas) combined with data on terrain elevation, presence of geographic features such as mountainside, topography characteristics, ocean and forest obtained from the village census (PODES). The results show that energy poverty in Eastern part of Indonesia is larger than in the Western. In Eastern Indonesia, we estimate that 13.5% of the total households are energy poor compared to the Western which only 7.21%. Households located in the forest area was the dominant factor to influence prevalence of energy poverty among geographic constraints, with magnitude of influence at 22-23 percentage point to non-forest residents. Secondly, the presence of steep-sloped terrain is the next meaningful geographical constraint with contribution effect to energy poverty prevalence at around 18 percentage point. The result highlighted priority of locations in which resource and policy to reduce energy deprivation need to be allocated.]]>
<![CDATA[The Impact of Lagging-Region Status on District Poverty in Indonesia ]]>
<![CDATA[Rus’an Nasrudin]]>
<![CDATA[ Economics and Finance in Indonesia Volume 62, Number 1, April 2016 ]]>
Publisher : <![CDATA[Institute for Economic and Social Research ]]>
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DOI: 10.47291/efi.v62i1.521
<![CDATA[Reducing subnational imbalances of development progress is unquestionable policy for heterogeneous Indonesia. This paper examines the impact of policy that assigns a lagging-region status namely status daerah tertinggal (DT) on poverty rate and poverty gap among districts in Indonesia in the two period of SBY presidency. The panel data fixed effect combined with propensity score matching is used to tackle the selection bias due to the nature of the policy, unobserved heterogeneity and omitted variable bias. The results show that the lagging-region status that was aimed to mainstream central and district’s budget toward lagging regions statistically significant reduces poverty rate and poverty gap in the period. The DT status, on average is associated with 0.75 percentage point of reduction in the poverty rate and 7% reduction in the poverty gap index. AbstrakMenurunkan ketimpangan antar-daerah adalah sebuah agenda kebijakan yang niscaya untuk Indonesia yang majemuk dalam kemajuan ekonomi. Artikel ini berusaha mengukur dampak dari sebuah kebijakan penetapan daerah tertinggal terhadap dua ukuran kemiskinan, yaitu tingkat kemiskinan dan kedalaman kemiskinan pada dua periode masa jabatan Presiden SBY. Metode yang dipergunakan adalah panel data fixed-effect dikombinasikan dengan propensity score matching untuk mengatasi permasalah endogen pada variabel utama yaitu bias dalam seleksi terhadap kebijakan, keragaman daerah yang tidak dapat diukur, dan potensi bias karena ketiadaan variabel-variabel yang berpengaruh terhadap dua ukuran kemiskinan. Hasil pendugaan regresi tersebut menunjukkan bahwa penetapan daerah tertinggal yang ditujukan untuk mengarusutamakan dana pembangunan secara statistik signifikan dan menyebabkan penurunan tingkat kemiskinan dan kedalaman kemiskinan di masa tersebut. Daerah tertinggal secara rata-rata memiliki tingkat kemiskinan lebih rendah sebesar 0.75 (persentase) dan memiliki indeks kedalaman kemiskinan 7% lebih rendah.Kata kunci: Daerah Tertinggal; Kemiskinan; IndonesiaJEL classifications: I32, P48]]>
<![CDATA[The Impact of Lagging-Region Status on District Poverty in Indonesia ]]>
<![CDATA[Nasrudin, Rus'an]]>
<![CDATA[ Economics and Finance in Indonesia Vol. 62, No. 1 ]]>
Publisher : <![CDATA[UI Scholars Hub ]]>
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<![CDATA[Reducing subnational imbalances of development progress is unquestionable policy for heterogeneous Indonesia. This paper examines the impact of policy that assigns a lagging-region status namely status daerah tertinggal (DT) on poverty rate and poverty gap among districts in Indonesia in the two period of SBY presidency. The panel data fixed effect combined with propensity score matching is used to tackle the selection bias due to the nature of the policy, unobserved heterogeneity and omitted variable bias. The results show that the lagging-region status that was aimed to mainstream central and district's budget toward lagging regions statistically significant reduces poverty rate and poverty gap in the period. The DT status, on average is associated with 0.75 percentage point of reduction in the poverty rate and 7% reduction in the poverty gap index.]]>
<![CDATA[Social Capital and Conflict in the Post-Suharto Regime in Indonesia ]]>
<![CDATA[Hesda, Andar Ristabet]]>;
<![CDATA[Nasrudin, Rus'an]]>
<![CDATA[ Economics and Finance in Indonesia Vol. 69, No. 1 ]]>
Publisher : <![CDATA[UI Scholars Hub ]]>
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<![CDATA[This study explores the relationship between social capital and conflict in the post Suharto regime in Indonesia. We employed a combination of cross-section datasets from the Social and Cultural Module of the 2009 National Socio- Economic Survey (SUSENAS) and the media-based conflict data from National Violence Monitoring System (NVMS) of 2010–2014 in Indonesia. Using Binomial Negative Regression, our empirical analysis shows that the past social capital stocks negatively correlate with future conflict intensity. This pattern applies to most conflict types. This result indicates that the social capital stock in 2009 is more likely to be the starting point determining the conflict vulnerability in the subsequent period. Furthermore, the evaluation of the components of social capital reveals that the most crucial type of social capital is trust in neighbors, the government, and local officials. The district with high trust is less prone to conflict.]]>
<![CDATA[Does migration network matter in driving internal migration in Indonesia? ]]>
<![CDATA[Novriawati, Erma]]>;
<![CDATA[Nasrudin, Rus'an]]>
<![CDATA[ Jurnal Ekonomi & Studi Pembangunan Vol 24, No 2: October 2023 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Yogyakarta ]]>
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DOI: 10.18196/jesp.v24i2.19280
<![CDATA[Migration theory has developed a framework that considers factors influencing migration, including the pursuit of better economic opportunities in the destination area, which is a crucial pull factor. However, the internal migration literature, especially in Indonesia, currently lacks empirical evidence to show the role of migration networks as a mediating element in this mechanism. To address this research gap, we conducted a case study in Indonesia to examine the role of the migration network on the decision process of internal migrants. Our findings show that migration networks matter in driving internal migration with a moderate size effect, implying informational factors beyond those provided by networks also play a crucial role in migration decisions. These results indicate the importance of exploring additional avenues to enhance the positive impact of migration networks, such as creating designated social media applications to facilitate connections among potential migrants or exploring alternative means of meaningful engagement. Further research should examine the efficacy of such interventions and their potential to augment the influence of migration networks on migration decisions.]]>
<![CDATA[Does Subsidized Health Insurance Cause Ex Ante Moral Hazard? Empirical Analysis Of Smoking Intensity In Poor Communities In Indonesia ]]>
<![CDATA[Maulida, Rizki Wibias Anwar]]>;
<![CDATA[Nasrudin, Rus'an]]>
<![CDATA[ EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 2 (2025): April ]]>
Publisher : <![CDATA[UNIVED Press ]]>
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DOI: 10.37676/ekombis.v13i2.6954
<![CDATA[The existence of ex ante moral hazard (EAMH) can cause inefficiency and threaten the sustainability of the health insurance program developed by the Indonesian government. The deficit in health social funds and the increase in the number of smokers in Indonesia may indicate the presence of EAMH. Several studies have explored EAMH, but their conclusions remain inconclusive. This study will utilize panel data from IFLS waves 2, 3, 4, and 5. By combining matching and Difference-in-Differences (PSM-DiD) methods to eliminate various potential biases, this research aims to reveal the impact of participating in subsidized health insurance on changes in smoking intensity among beneficiaries of Askeskin/JKN PBI. The findings suggest that, overall, the Askeskin policy does not indicate the presence of EAMH in relation to smoking behavior. However, within a specific subset of the data, there are indications of EAMH linked to rising smoking expenses among poor urban individuals.]]>
<![CDATA[The Short-Run Impact of Indonesia's Large-Scale Social Restriction on Intra-Generational Household Economic Mobility ]]>
<![CDATA[Samuda, Sri Juli Asdiyanti]]>;
<![CDATA[Nasrudin, Rus'an]]>
<![CDATA[ Journal of Developing Economies Vol. 8 No. 1 (2023) ]]>
Publisher : <![CDATA[Universitas Airlangga ]]>
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DOI: 10.20473/jde.v8i1.39710
<![CDATA[This study aims to estimate the impact of policy responses due to the Covid-19 pandemic on intra-generational household economic mobility in Indonesia. Given the many policy interventions during the Covid-19 pandemic in 2020, this study focuses on the implementation of partial lockdowns known as PSBB policy in four districts (Bogor Regency, Bekasi Regency, Bogor City, and Bekasi City). In order to have a causal relationship, this study performs Synthetic Control Method to construct hypothetical counterfactual regions for districts that implement PSBB policy. Based on multinomial logit estimations, this study found that the implementation of PSBB adversely affects household economic mobility in rural districts but does not significantly affect household economic mobility in urban districts in the short run.]]>
<![CDATA[Measuring the intensity of smoking behavior among beneficiaries of subsidized health insurance: Item Response Theory (IRT) Analysis ]]>
<![CDATA[maulida, rizki wibias anwar]]>;
<![CDATA[Nasrudin, Rus'an]]>
<![CDATA[ JEJAK Vol. 17 No. 2 (2024): September 2024 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v17i2.4551
<![CDATA[The absence of sufficient income leaves the impoverished and near-poor particularly susceptible to economic shocks, yet they encounter significant barriers in accessing the health insurance market. The government introduced the Health Premium Assistance for the Poor and Near-Poor (Askeskin) program on January 1, 2005, to address this issue. However, individuals with lower socioeconomic status are disproportionately likely to smoke. Therefore, it is imperative to conduct screening and assess smoking intensity, particularly among those facing economic hardships, to effectively address smoking behavior. To assess the severity of smoking habits among beneficiaries of subsidized health insurance (Askeskin), this study utilized data from the IFLS survey and applied Item Response Theory (IRT). IRT facilitates the development of highly precise measurement tools that accurately capture variations in an individual's health and well-being. The findings indicate that this scale serves as a suitable instrument for examining heavy smoking intensity in research endeavors, particularly within the Indonesian context.]]>
