Correction to: Internal Migration, Urbanization, and Poverty in Asia: Dynamics and Interrelationships

This paper calculates poverty and inequality elasticities using the latest-available World Bank primary survey household consumption expenditure data for the rapidly growing urban sectors of India, Indonesia, and China. Our approach compares the conventional use of the overly simple headcount measure to the poverty gap squared (PG 2 ) measures of poverty and focuses the effectiveness of reducing inequality on the disutility of the poor using a microeconomic utility-based point elasticity measure of poverty loss. The calculations show that reducing urban inequality is more effective in reducing (1) urban poverty than promoting growth and (2) poverty distress more than that in the rural sector. The optimal policy prescription is to reduce urban inequality by targeting the urban very poor using the PG 2 measure.Further research is required to identify and quantify the determinants of the point elasticity magnitudes and the possible directions of causation.

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“…(2019) for India, Miranti (2019) for Indonesia, and Meng (2019) for the PRC, in Jayanthakumaran et al. (2019).…”

Section: Review and Discussionmentioning

confidence: 99%

Urban poverty, growth, and inequality: A needed paradigm shift?

Wilson

Jayanthakumaran

Verma

2022

Review Development Economics

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“…Henderson (2003) menunjukkan adanya hubungan positif antara urbanisasi dan pendapatan per kapita untuk sampel 28 negara yang mewakili negara maju maupun negara berkembang. Fosu (2017), Hassan & Pitoyo (2017), Chen et al (2019), dan Jayanthakumaran et al (2020) menggunakan variabel persentase penduduk perkotaan untuk mewakili urbanisasi dan variabel pendapatan per kapita untuk mewakili kemiskinan. Hasilnya membuktikan bahwa persentase penduduk perkotaan yang mewakili tingkat urbanisasi suatu wilayah ternyata http://dx.doi.org/10.14710/jwl.8.3.290-306 berpengaruh terhadap pendapatan per kapita.…”

Section: Pendahuluanunclassified

“…Secara umum garis tren antara variabel tingkat urbanisasi dan PDRB/kapita membentuk hubungan positif yang artinya semakin tinggi tingkat urbanisasi maka semakin tinggi pula PDRB/kapita (Gambar 1). Fenomena ini sejalan dengan studi-studi terdahulu terkait pengaruh urbanisasi terhadap penurunan kemiskinan yang ditinjau dari pendapatan per kapita (Chen et al, 2019;Fosu, 2017;Hassan & Pitoyo, 2017;Jayanthakumaran et al, 2020). Beberapa provinsi cenderung membentuk pola mengelompok khususnya pada tingkat urbanisasi rentang 30% sampai 50%, di antaranya yaitu Papua Barat (30,17%), Aceh (31,85%), Sulawesi Tenggara (37,61%), Sumatera Selatan (37,94%), Riau (41,26%), dan Sumatera Barat (42,18%).…”

Section: Hasil Dan Pembahasanunclassified

“…Faktanya, apabila hanya terdapat delapan provinsi yang memiliki tingkat urbanisasi tinggi dan PDRB/kapita tinggi, hal ini mengindikasikan bahwa telah terjadi pemusatan sumber daya manusia dan modal kapital pada sebagian kecil wilayah Indonesia. Temuan ini sejalan dengan penelitian yang dilakukan oleh Hassan & Pitoyo (2017) serta Jayanthakumaran et al (2020). Ketimpangan pembangunan yang telah terbentuk sejak masa kolonial dinilai menjadi penyebab pembangunan yang bias ke arah barat Indonesia.…”

Section: Gambar 1 Scatter Plot Urbanisasi Dan Pendapatan Per Kapita unclassified

“…Penelitian ini menemukan adanya pengaruh positif urbanisasi terhadap peningkatan pendapatan per kapita secara agregat wilayah di Indonesia selama periode tahun 2000-2018. Hal ini sejalan dengan studi-studi terdahulu yang dilakukan oleh Fosu (2017), Hassan & Pitoyo (2017), Solarin (2017), Chen et al (2019), dan Jayanthakumaran et al (2020). Namun ketika ditinjau pada level kemiskinan perkotaan dan perdesaan di Indonesia, pengaruh penurunan kemiskinan oleh urbanisasi cenderung lebih tinggi di perdesaan dibandingkan perkotaan.…”

Section: Kesimpulanunclassified

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Pengaruh Urbanisasi Terhadap Penurunan Kemiskinan di Indonesia

Hadijah

Sadali

2020

JWL

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Urbanization and poverty are two important aspects closely linked to sustainable development goals. Urbanization in Indonesia is still far from improving migrant welfare as well as their destination regions. Every 1% growth of urbanization in Indonesia can only increase 4% of GDP per capita. Low economic benefits resulted from urbanization in Indonesia merely shift rural poor to become urban poor. The purpose of this study was to analyze the effect of urbanization on poverty reduction in Indonesia, both in the regional aggregate and at the rural and urban levels as the origin and destination regions of urbanization. This study used secondary data of population and poverty from Population Census (SP), the Inter-Census Population Survey (SUPAS), and the National Socio-Economic Survey (SUSENAS). Data analysis was performed using regionalization techniques, Primacy Index, Lorenz Curve, Geographic Information System (GIS), and simple linear regression. The results showed that the rate of urbanization had a positive relationship with per capita income and the population of urban poor, but had a negative relationship with the population of rural poor. A unit increase in urban population variable percentage would increase the average GDP/capita variable by 0,466. This would be followed by an increase in the average urban poor population variable by 0,447 and a reduction in the average rural poor population variable by 0,705.

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Avian influenza transmission risk along live poultry trading networks in Bangladesh

Moyen

Hoque

Mahmud

et al. 2021

Sci Rep

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Live animal markets are known hotspots of zoonotic disease emergence. To mitigate those risks, we need to understand how networks shaped by trading practices influence disease spread. Yet, those practices are rarely recorded in high-risk settings. Through a large cross-sectional study, we assessed the potential impact of live poultry trading networks’ structures on avian influenza transmission dynamics in Bangladesh. Networks promoted mixing between chickens sourced from different farming systems and geographical locations, fostering co-circulation of viral strains of diverse origins in markets. Viral transmission models suggested that the observed rise in viral prevalence from farms to markets was unlikely explained by intra-market transmission alone, but substantially influenced by transmission occurring in upstream network nodes. Disease control interventions should therefore alter the entire network structures. However, as networks differed between chicken types and city supplied, standardised interventions are unlikely to be effective, and should be tailored to local structural characteristics.

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Correction to: Internal Migration, Urbanization, and Poverty in Asia: Dynamics and Interrelationships

Cited by 5 publications

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Urban poverty, growth, and inequality: A needed paradigm shift?

Urban poverty, growth, and inequality: A needed paradigm shift?

Pengaruh Urbanisasi Terhadap Penurunan Kemiskinan di Indonesia

Avian influenza transmission risk along live poultry trading networks in Bangladesh

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