Do Household Financial Behaviors affect Poverty in Indonesia?: Evidence from Indonesian Family Life Survey

Wardhono, Adhitya; Nasir, M. Abd.

doi:10.17977/um002v14i12022p015

Cited by 4 publications

(4 citation statements)

References 44 publications

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“…Kedua, jika upah nominal lebih rendah dari harga barang yang dikonsumsi individu, maka upah riil yang dimiliki akan menurun. Sehingga, kenaikan inflasi akan sangat memengaruhi daya beli masyarakat utamanya yang hidup di bawah garis kemiskinan (Wardhono & Nasir, 2022).…”

Section: Pendahuluanunclassified

Harga Energi dan Tingkat Kemiskinan di Indonesia

Yaqin,

Mu'min,

Wardhono

et al. 2024

JEI

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Studi ini menguji dampak kenaikan harga energi terhadap kemiskinan di Indonesia. Konsep kemiskinan meliputi kemiskinan agregat, perdesaan dan perkotaan, wilayah, serta periode sebelum dan selama pandemi Covid-19. Studi menggunakan data panel 34 provinsi pada periode 2013 hingga 2022. Metode estimasi yang digunakan adalah Generalized Method of Moment (GMM). Hasil estimasi menunjukkan bahwa kenaikan harga energi meningkatkan kemiskinan di Indonesia, baik dalam hal kemiskinan agregat maupun kemiskinan pedesaan atau perkotaan. Pada aspek kewilayahan, ditemukan bahwa dampak dari kenaikan harga energi lebih besar pengaruhnya pada tingkat kemiskinan di Jawa dibandingkan luar Jawa. Bukti empiris menunjukkan bahwa dampak kenaikan harga energi lebih besar terhadap kemiskinan selama periode pandemi Covid-19 dibandingkan periode sebelum pandemi. Hasil ini mengimplikasikan bahwa Pemerintah perlu fokus pada stabilitasi harga energi melalui penciptaan ketahanan energi, terutama untuk energi baru dan terbarukan.

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Section: Pendahuluanunclassified

Harga Energi dan Tingkat Kemiskinan di Indonesia

Yaqin,

Mu'min,

Wardhono

et al. 2024

JEI

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“…Spatial dependence testing is an effort to check whether test data at one location is correlated with tests in other places at a close distance. The following tests are important to carry out, considering that if ignored, the estimated results can be inefficient, so biased conclusions will be obtained (Rahayu, 2017;Perdana, 2015;Pongoh et al 2015;Bruna & Yu, 2013). The use of spatial analysis if the test results are met (Rahayu, 2017;Bruna & Yu, 2013;Mahumud et al 2013;Yu 2010;Rahman et al, 2023;Lymperopoulou & Baniiister, 2022).…”

Section: Rindayati Hastuti and Asmara Spatial Mapping And Determinant...mentioning

confidence: 99%

Spatial mapping and determinants of health performance in North Sumatra province

Rindayati

Hastuti²,

Asmara

2023

JESP

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The province of North Sumatra has the lowest health performance in Sumatra, with disparities amongst districts /cities. This study aims to analyze the health performance factor of North Sumatra districts/cities using a Geographically Weighted Panel Regression (GWPR) model analysis in 33 districts/cities with a time series of 2012-2019. The analysis results showed that the determinants of health performance differed between districts/cities grouped into 15 groups based on influencing factors and four clusters based on the area of the development areas. The income variable has a significant positive effect on all 33 districts, the education variable has a positive effect on 19 districts, the human health resources variable has a positive effect on 12 districts, the immunization variable has a positive effect on 11 districts, the proper sanitation variable has positive on nine districts, the government spending in health sector variable has positive on five districts, and the medical facility variable has positive on one district namely Karo. Determinants in the Nias Island Area: income, government spending in the health sector, and human resources. West Coast area: income, education, and proper sanitation. East Coast Area: income, education, health, human resources, and immunization. The determinant Highland area differs between regencies/cities. To improve the performance of health development in the province, it is necessary to carry out a spatial approach based on cluster equations and influencing factors. Increased income, education, and human health resources must be prioritized in almost all district areas.

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“…UHC is one of the realizations of Millennium Development Goals (Onokerhoraye, 2016). The study showed UHC brought hope to improve welfare of the poor (Yilma et al, 2015;Korenman et al, 2016;Ridha & Perdana, 2015;Lu et al, 2020). Nevertheless, the application still faces many challenges (Tinasti, 2015;Yang, 2018), especially for vulnerable populations (Vilcu, 2016).…”

Section: Introductionmentioning

confidence: 99%

Subsidized health insurance impact among the poor: Evidence on out-of-pocket health expenditures in Indonesia

Sosodoro,

Ramadhan,

Susamto

2023

JESP

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Universal Health Care (UHC) in Indonesia, named the National Health Insurance (Jaminan Kesehatan Nasional - JKN), has been running since 2014. JKN was predicted to be the most extensive UHC program in the world. Under JKN, the poor get free health services through the cashless method through a sub-program called Contribution Assistance Recipients (Penerima Bantuan Iuran - PBI). Unfortunately, JKN faced several failures to cover the program's expenditures within years. Within the current dynamics, was PBI, as part of JKN still effectively helping the poor? We examined the effectiveness of the PBI program by measuring differences in out-of-pocket health expenditures for the poor with similar socio-economic characteristics who used PBI and those who did not. We incorporated secondary data from National Socio-economic Survey (SUSENAS). The dataset was executed by using Propensity Score Matching (PSM) methodology. We used health expenditures and socio-economic parameters such as income, education, and gender from the 2017 and 2018 SUSENAS data. We found that in 2017, the total health expenditures of the PBI beneficiaries were lower than the non-beneficiaries. Nevertheless, by merging all two years' data, similar to 2018, we found general pattern that PBI participants' total health out-of-pocket payments were bigger than the non-participants. Health expenditures such as medicine, traditional practitioners, and others, were expenditure classifications in which PBI beneficiaries had lower expenses than non-beneficiaries in 2017. Therefore, Therefore, the UHC subsidy program for the poor in Indonesia has not only been ineffective through the years of implementation but also has not been effectively implemented for all variations of health expenditure types.

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Do Household Financial Behaviors affect Poverty in Indonesia?: Evidence from Indonesian Family Life Survey

Cited by 4 publications

References 44 publications

Harga Energi dan Tingkat Kemiskinan di Indonesia

Harga Energi dan Tingkat Kemiskinan di Indonesia

Spatial mapping and determinants of health performance in North Sumatra province

Subsidized health insurance impact among the poor: Evidence on out-of-pocket health expenditures in Indonesia

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