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Socio-Economic Determinants of Credit Access in Micro Enterprises Household of East Java During New Normal Era Christiayu Natalia; FX Gugus Febri Putranto
East Java Economic Journal Vol. 6 No. 2 (2022)
Publisher : Kantor Perwakilan Bank Indonesia Provinsi Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53572/ejavec.v6i2.86

Abstract

The lack of micro-enterprises household in East Java that access business credit can affect the integration of MSMEs in the Global Value Chain (GVC) and exports acceleration in new normal era. This study aims to analyze the socio-economic determinants of microenterprise household credit access in East Java, and specific to each Bakorwil. Multinomial logistic regression analysis on the Susenas March 2021 and Potensi Desa 2021 found that there were differences in socio-economic characteristics in each Bakorwil. Important issues in accessing KUR/KUBE/KUB are poverty status, social protection programs, entrepreneur status, and internet use. Regional-based policies can be applied for business development and encourage integration into GVC by considering the socio-economic characteristics of each Bakorwil
Optimalisasi Kawasan Strategis Prioritas (KSP) Menuju Kesejahteraan Berkelanjutan di Jawa Tengah: Pendekatan System-GMM FX Gugus Febri Putranto; Christiayu Natalia
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 10 No 1 (2026): Vol. 10 No. 1, Mei 2026
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v10i1.2254

Abstract

Evaluation of poverty alleviation and inequality issues to achieve sustainable prosperity requires in-depth analysis at a regional level. The establishment of Provincial Strategic Areas (KSP) in Central Java is expected to be a solution to accelerate the achievement of sustainable prosperity. This study aims to (1) analyze the determinants of poverty levels in each KSP region in the 2014-2023 period, in the short and long term; and (2) analyze the convergence of poverty levels and the speed of adjustment of disparities between regions in each KSP region. The results of dynamic panel regression modeling using the System Generalized Method of Moment (System-GMM) method can provide an in-depth analysis of targeted research-based policy recommendations in each Provincial Strategic Area (KSP) by offering recommendations for driving and inhibiting factors for poverty alleviation, to the time required to achieve convergence in reducing disparities between regions.
Bridging The Digital Divide: Internet Access And Farmer Poverty In East Java Dias Satria; Christiayu Natalia
Agrisocionomics: Jurnal Sosial Ekonomi Pertanian Vol 9, No 3 (2025): November 2025
Publisher : Faculty of Animal and Agricultural Science, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/agrisocionomics.v9i3.26758

Abstract

Poverty among farmers remains a structural challenge in agricultural development in Indonesia; low productivity and limited access to information technology are the main problems.  Addressing this issue is crucial for national food security and sustainable rural livelihoods. This study aims to examine the profile of poor farmers and analyze the effect of internet use on the risk of poverty among farmers in East Java Province. The data comes from the March 2023 National Socio-Economic Survey (Susenas) microdata, comprising 21.368 individual observations. The analysis method used is binary logistic regression due to the binary classification of the dependent variable, with model segregation based on urban and rural areas, implemented using Stata software. The results show that poor farmers generally come from the food crop subsector and are concentrated in certain areas such as Madura Island.  Digital literacy and internet utilization are still very low, while access to formal financing is also limited.  Internet access significantly reduces the poverty risk, with users being 2.72 times more likely to be non-poor, especially in urban areas. This study recommends different policy approaches between urban and rural areas to realize inclusive and adaptive agriculture in the digital era.