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All Journal ETIKONOMI JURNAL ECONOMIA Ekonomikawan : Jurnal Ilmu Ekonomi dan Studi Pembangunan Media Trend: Berkala Kajian Ekonomi dan Studi Pembangunan JURNAL ILMU EKONOMI & SOSIAL JIET (Jurnal Ilmu Ekonomi Terapan) JDE (Journal of Developing Economies) Jurnal Ekonomi dan Bisnis JURNAL EKONOMI PENDIDIKAN DAN KEWIRAUSAHAAN International Journal of Supply Chain Management Gorontalo Development Review Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Jurnal Ilmiah Manajemen dan Bisnis Dinasti International Journal of Education Management and Social Science Jurnal Kependudukan Indonesia East Java Economic Journal JURNAL ECONOMINA Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Paradoks : Jurnal Ilmu Ekonomi Jurnal Ekonomi dan Pembangunan Indonesia JIEP: Jurnal Ilmu Ekonomi dan Pembangunan
Sugiharti, Lilik
Department Of Economics, Faculty Of Economics And Business, Universitas Airlangga
Arts Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Public Health Social Sciences Transportation

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Determining Factors of Poverty in Indonesia: Household Analysis Rini, Ayu Setyo; Sugiharti, Lilik
Jurnal Ilmu Ekonomi Terapan Vol. 1 No. 2 (2016)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (636.36 KB) | DOI: 10.20473/jiet.v1i2.3252

Abstract

The purpose of this study is to provide an overview of poverty in Indonesia by mapping the provinces based on economic growth and poverty rate as well as knowing the determinants of poverty in Indonesia with analysis at the household level. The analysis used secondary data from Susenas (National Socioeconomic Survey) in March 2012. Based on poverty mapping, the provinces are divided into four-quadrant and the analysis of 2007 and 2012 show quadrant position change of some provinces. There are provinces that getting better, those are Central Java and Maluku while North Sumatera, Banten, West Kalimantan, South Kalimantan, and South Sumatera show the worse condition. Analysis determinants of poverty measures probability of a household to be poor using logit regression model find that household characteristics like sex of household head, age of household head, number of household members, employment status of household head, access to credit, education of household head, access of information and communication technology, and locational (rural/urban) significantly affect the poor status of household in Indonesia.
The Impact of Indonesian Migrant Workers' Remittances on The Distribution of Household Income: Analysis of The Socio-Economic Balance System In 2008 Permatasari, Siska Intan; Sugiharti, Lilik
Jurnal Ilmu Ekonomi Terapan Vol. 1 No. 2 (2016)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (784.959 KB) | DOI: 10.20473/jiet.v1i2.3299

Abstract

This study aims to analyze the impact of Indonesian workers' remittances on income distribution of households, in which includes the total impact as well as the details of the road from the impact. The data used is the Social Accounting Matrix (SAM) of Indonesia in 2008. The methodology used is matrix multiplier balance with Leontief inverse analysis and details of the impact analyzed through decomposition of the matrix multiplier. The results of this study showed that the group of households that are affected most by the injection of remittances in the government sector is domestic agricultural entrepreneurs while the total impact on the production sector to get the most impact is the sector of Real Estate and Business Services sector, followed by trade.
Analysis of Female Labor Force Participation (FLFP) in East Java Tsaniyah, Alfi Hakimatus; Sugiharti, Lilik
Jurnal Ilmu Ekonomi Terapan Vol. 6 No. 1 (2021)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jiet.v6i1.26777

Abstract

Employment has an important role to support a certain economy.  The number of female workers have increased every year, due to family welfare fulfillment and female role shifting as a head of households. This paper aims to observe the driving factors of female labor force participation in East Java-Indonesia. Logit model is incorporated to estimate the parameters which involved total sample of 23.218 women in productive age which consist of 13.473 working women and the rest of 9.745 non working women in East Java. On the basis of micro data level from National Labor Force Survey (Sakernas) 2018, the result shows that age, education level, marital status, head of the household status, household size, rural-urban location, and income have a substantial effect on FLFP in East Java.   Keywords: FLFP, Employment Status, Work Decision, Logit Model.  JEL: J01, J20, J21
The Effect of Remittance on Consumption and Household Assets in Indonesia Cahyanti, Alif Dewi; Sugiharti, Lilik
Jurnal Ilmu Ekonomi Terapan Vol. 7 No. 1 (2022)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jiet.v7i1.29096

Abstract

 International migration is the process of moving people from one country to another. There is a close relationship between migration and consumption behavior. Migration can be considered as an alternative to improve consumption patterns. The impact of international migration is quite large for the area of origin, one of which is the flow of remittances for the area of origin. Remittance also increases the welfare of recipient households that can increase their income and consumption. This study uses panel data sourced from Indonesian Family life Survey (IFLS) 4 and 5 in 2007 and 2014. using the Ordinary Least Square (OLS) method. results show Ordinary Least Square (OLS) that remittances are significant and have a positive relationship with food consumption, non-food and total food and ownership of assets
Investment Returns Analysis of Education in East Java Indayanti, Dwi Novi; Sugiharti, Lilik
Jurnal Ilmu Ekonomi Terapan Vol. 6 No. 2 (2021)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jiet.v6i2.31143

Abstract

Education is one of the tools in human capital investment because it is considered important in producing an adequate return to schooling. At the East Java Province in 2015 and 2018 the highest education was marked by a difference in the number of each level of education, especially at the tertiary level, which was still relatively low. So, that will be affect return to schooling received by the workforce. This research uses cross section data sourced from SAKERNAS data in 2015 and 2018, with Ordinary Least Square (OLS). The results of OLS in 2015 and 2018 shown if the level of education, age, worked training, worked experience, sex, and location have a significant effect on income. The results of the OLS regression are then used to calculated return to education based on education level, sex, and location. The results shown if the education achieved produce a rate of return that is always increasing at every level of education while return to schooling based on gender is a difference in junior and university education, in rural areas return to schooling at the primary school is higher than in the urban area. Keywords: Gender, Education, Return To Education, LocationJEL: J24, I21
Analisis Determinan Probabilitas Mahasiswa Bekerja Sebelum Lulus Menggunakan Model Probit Sayekti, Azzahra Mubyaring Putri; Sugiharti, Lilik
Paradoks : Jurnal Ilmu Ekonomi Vol. 8 No. 4 (2025): Agustus - Oktober
Publisher : Fakultas Ekonomi, Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57178/paradoks.v8i4.1936

Abstract

Penelitian ini mengkaji faktor-faktor yang memengaruhi probabilitas mahasiswa bekerja sebelum lulus (work before graduate — WBG) menggunakan data sekunder berukuran besar (n = 60.590). Variabel yang dianalisis meliputi umur, jenis kelamin, klasifikasi wilayah (urban/rural), tipe institusi, pengalaman kerja sebelumnya, partisipasi pelatihan, status keluarga, dan status migran. Estimasi menggunakan model probit dengan standard error robust; untuk interpretasi disajikan pula average marginal effects (dy/dx). Hasil menunjukkan bahwa pengalaman kerja sebelumnya dan partisipasi pelatihan adalah pendorong paling kuat meningkatnya probabilitas WBG (masing-masing ≈ +6–7 poin persentase). Faktor negatif signifikan termasuk status migran dan beberapa kategori status keluarga. Model secara keseluruhan signifikan (Wald χ²), uji Hosmer–Lemeshow menunjukkan kecocokan yang memadai, tetapi kemampuan diskriminasi model moderat (AUC ≈ 0.63). Implikasi kebijakan diarahkan pada perluasan akses magang/pelatihan dan dukungan khusus bagi mahasiswa migran.
Unveiling Multidimensional Poverty in Jammu and Kashmir: Insights from Alkire Foster Method and NFHS-5 Data Ali, Umar; Handoyo, Rossanto Dwi; Sugiharti, Lilik; Zargarr, Nasir Ahmad
Jurnal Ilmiah Manajemen & Bisnis Vol 8 No 2 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/jimb.v8i2.4641

Abstract

This study seeks to examine the multidimensional poverty in Jammu and Kashmir, aiming to illuminate its nature and extent beyond traditional monetary measures. Utilizing the Alkire Foster method and drawing on data from NFHS-5, the research uncovers a prevalence of multidimensional poverty surpassing that of monetary poverty in the region. Within surveyed districts, the study identifies Ramban as experiencing the highest incidence, contrasting with Srinagar, which exhibits the lowest headcount. Anantnag emerges as the district facing the most intense multidimensional poverty. In exploring the factors influencing multidimensional poverty, binary logistic regression reveals the significant roles of education, occupation, and land ownership. Conflict is identified as an amplifier of multidimensional poverty, and a predictive model achieves an accuracy rate of approximately 82.80%. The study underscores the critical importance of local factors in shaping poverty experiences, emphasizing the roles of nutrition, sanitation, housing, and education. Gender, age, and conflict are highlighted as pivotal determinants in the latter stages of the study. The research concludes with a managerial perspective, offering actionable insights for policy recommendations, development initiatives, and specific steps for government agencies and stakeholders. These proposed interventions aim to address identified determinants and contribute to the overarching goal of reducing poverty in Jammu and Kashmir.
Digital Transformation and Operational Efficiency: A Two-Stage DEA Approach in Electricity Distribution Units in Central Java and the Special Region of Yogyakarta Singgih Budiaji; Lilik Sugiharti
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 4 (2026): Dinasti International Journal of Education Management and Social Science (April
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i4.6441

Abstract

This study examines the impact of digital transformation, facilitated by the PLN Mobile application, on the operational efficiency of Customer Service Units (UP3) under PT PLN (Persero) Distribution Main Unit (UID) Central Java and the Special Region of Yogyakarta. The Digital Transformation Index (DTI) is constructed using the ratio of PLN Mobile users to total customers and the ratio of digital complaints to total complaints. The analysis covers 78 Decision Making Units (DMUs) over the period 2020–2025. Technical efficiency is measured using input-oriented Data Envelopment Analysis (DEA) under both Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) assumptions. A two-limit Tobit regression model is subsequently employed to examine the determinants of efficiency. The results indicate average efficiency scores of 0.755 (CRS) and 0.791 (VRS). The number of customers significantly reduces efficiency, while the Capacity Index shows a positive relationship at the 10% significance level. In contrast, the Digital Transformation Index (DTI) does not demonstrate statistical significance. The findings suggest that operational capacity and service load pressures play a more substantial role in explaining efficiency variations than the intensity of front-end digitalization.
Green Innovation, Renewable Energy, and Institutional Quality in Driving CO₂ Emission Decoupling: Evidence from Developing Countries Ryan Anward; Deni Kusumawardani; Lilik Sugiharti
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 9 No. 1 (2026)
Publisher : PPJP ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jiep.v9i1.2959

Abstract

This study examines CO₂ emission decoupling in developing countries as a broader indicator of sustainable economic performance, not merely as emission reduction. Specifically, it analyzes the roles of green innovation, renewable energy consumption, and institutional quality in explaining whether economic growth can be increasingly separated from CO₂ emissions through technological capability, energy-system transition, and governance capacity. Using panel data from 34 developing countries over the period 2002–2021, the study applies the Tapio decoupling index to measure CO₂ emission decoupling status and transforms the resulting classification into an ordinal variable with three categories: negative decoupling, coupling, and decoupling. The determinants of decoupling status are analyzed using a panel generalized ordered logit model with average marginal effects estimation. The results show that green innovation significantly increases the probability of being in the decoupling category and emerges as the strongest positive determinant of decoupling performance. Renewable energy consumption also has a positive but marginally significant effect, indicating that renewable energy has begun to contribute to decoupling in developing countries, although its effect remains relatively modest. Institutional quality is negatively associated with decoupling, while its interaction with renewable energy is not statistically significant. Population also has a significant negative effect on the probability of decoupling. Overall, the findings suggest that decoupling in developing countries is driven more strongly by green innovation than by renewable energy or institutional quality, while governance improvements have not yet been fully translated into effective low-carbon transition outcomes.
Transport Infrastructure, Spatial Spillovers, and Regional Economic Convergence: Evidence from the Balikpapan-Samarinda Toll Road, Indonesia Revyfadlyrobby Rachmadi; Lilik Sugiharti
JURNAL ECONOMINA Vol. 5 No. 8 (2026): JURNAL ECONOMINA, Agustus 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/economina.v5i8.3789

Abstract

Penelitian ini bertujuan menganalisis dampak operasional Jalan Tol Balikpapan-Samarinda terhadap spillover ekonomi dan konvergensi ekonomi regional di Provinsi Kalimantan Timur. Penelitian menggunakan data panel seimbang sepuluh kabupaten/kota selama periode 2010–2024. Analisis dilakukan menggunakan Spatial Durbin Model (SDM) dengan efek tetap untuk mengidentifikasi pengaruh langsung dan tidak langsung infrastruktur jalan tol terhadap Produk Domestik Regional Bruto (PDRB). Ketergantungan spasial dianalisis menggunakan Global Moran's I dan Local Indicators of Spatial Association (LISA), sedangkan konvergensi ekonomi dianalisis melalui sigma convergence dan conditional beta convergence. Hasil penelitian menunjukkan adanya autokorelasi spasial positif yang signifikan pada tahun 2018 dan 2024, yang mengindikasikan bahwa aktivitas ekonomi antardaerah saling berinteraksi secara spasial. Estimasi SDM menunjukkan bahwa operasional Jalan Tol Balikpapan-Samarinda memberikan pengaruh langsung yang positif terhadap pertumbuhan ekonomi serta menghasilkan spillover spasial yang signifikan ke wilayah sekitarnya. Selain itu, hasil analisis konvergensi menunjukkan bahwa operasional jalan tol berkontribusi terhadap percepatan konvergensi ekonomi regional setelah memperhitungkan modal fisik, modal manusia, tenaga kerja, dan struktur industri. Temuan ini menunjukkan bahwa pembangunan infrastruktur transportasi tidak hanya meningkatkan pertumbuhan ekonomi wilayah yang dilalui, tetapi juga memperkuat integrasi ekonomi regional dan mendukung proses pemerataan pembangunan di Kalimantan Timur.
Co-Authors Achintya Widhi Adnyani Ahmad Ayis Ahmad Ayis Ali, Umar Amalia, Nuelda Ary Fauziah Amini Ary Fauziah Amini Cahyanti, Alif Dewi Deni Kusumawardani Djoko Mursinto, Djoko Fadjar Suhaeri Hilda Rohmawati I Made Laut Mertha Jaya Indayanti, Dwi Novi Intan Yanuarisma Kavit, Natalia Afriyani Miguel angel esquivias Padilla, Miguel angel esquivias Neny Aditina Neny Aditina Ni Made Sukartini Ni’matush Sholikhah Nuelda Amalia Nurlaili, Ayu Wahyuning Oni Prasetyo Utomo Permatasari, Siska Intan Pratanu, Adip Qurrota A'yun Pramitha Thoyibah Revyfadlyrobby Rachmadi Rini, Ayu Setyo Rossanto Dwi Handoyo Ryan Anward Sari, Dyah Wulan Sayekti, Azzahra Mubyaring Putri Shafira Ramadhani Nugrahaeni Singgih Budiaji Tanti Handriana Tsaniyah, Alfi Hakimatus Yefin Amandri Meidika Yefin Amandri Meidika Yunita Sopiana Zargarr, Nasir Ahmad