Claim Missing Document
Check
Articles

Found 13 Documents
Search

Apa Penyebab Ketimpangan Pendapatan Di Pulau Jawa? Anney Crismestika; Raden Parianom
Veteran Economics, Management, & Accounting Review Vol 4 No 1 (2025)
Publisher : Fakultas Ekonomi Dan Bisnis, Universitas Pembangunan Nasional Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59664/vemar.v4i1.12466

Abstract

Indonesia's economic activities are mostly centered on the island of Java, as indicated by the value of economic growth which is always recorded at the top compared to other islands. The flourishing of economic activity that occurs does not go hand in hand with the welfare of the people, in fact income inequality on the island of Java is the highest, this is of course caused by several factors. The aim of this research is to determine the factors that are thought to influence income inequality in each province on the island of Java for the period 2016-2021, including the variables Financial Inclusion, Gross Regional Domestic Product (GRDP) Per Capita, and Human Development Index (HDI). The total sample used was 36 data obtained from the Central Statistics Agency and Bank Indonesia. The analysis used is panel data regression analysis with the best model, namely the Fixed Effect Model (FEM), which was then developed into Feasible Generalized Least Square (FGLS). Partial research results show that GRDP per capita negatively and significantly influences income inequality, HDI positively and significantly influences income inequality, while financial inclusion does not positively and significantly influence income inequality. Meanwhile, all independent variables simultaneously influence income inequality on the island of Java.   Keywords: Income Inequality, Financial Inclusion, GRDP Per Capita, Human Development Index   Abstrak Tujuan dilakukan penelitian ini adalah untuk mengetahui faktor-faktor yang diduga berpengaruh terhadap ketimpangan pendapatan pada setiap provinsi di Pulau Jawa periode 2016 – 2021, antara lain variabel Inklusi Keuangan, Produk Domestik Regional Bruto (PDRB) Perkapita, dan Indeks Pembangunan Manusia (IPM). Total sampel yang digunakan adalah 36 data yang diperoleh dari Badan Pusat Statistik dan Bank Indonesia. Analisis yang digunakan yakni analisis regresi data panel dengan model terbaik yaitu Fixed Effect Model (FEM) yang kemudian dikembangkan menjadi Feasible Generalized Least Square (FGLS). Hasil penelitian secara parsial didapatkan bahwa PDRB Perkapita secara negatif signifikan mempengaruhi ketimpangan pendapatan, IPM secara positif signifikan mempengaruhi ketimpangan pendapatan, sedangkan inklusi keuangan secara positif tidak signifikan mempengaruhi ketimpangan pendapatan. Adapun secara simultan seluruh variabel bebas berpengaruh terhadap ketimpangan pendapatan di Pulau Jawa. Kata Kunci: Ketimpangan Pendapatan, Inklusi Keuangan, PDRB Perkapita, Indeks Pembangunan Manusia  
Pengembangan dan Pemberdayaan UMKM Kota Depok Di Masa Pandemi COVID-19 Widyastuti, Tri; Parianom, Raden
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 6 No 1 (2022): Volume 6 Nomor 1 Tahun 2022
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v6i1.16718

Abstract

Micro, Small and Medium Enterprises (MSMEs) in Indonesia have a very large contribution to the nation's economic condition. The current economic situation affected by the Covid-19 pandemic has almost affected all business sectors, especially the MSME sector. The problems faced by business actors are mainly in terms of marketing or marketing which usually relies on direct sales. Utilization of information technology is expected to be a solution in solving sales, marketing and financial transaction problems of MSME actors. Information technology turned out to be a new thing and very difficult for market traders or business actors. IT-based behavior change for both buyers and sellers requires training and assistance in the areas of sales, marketing and financial transactions. The problem faced by partners today is that partners do not master digital marketing, digital sales and digital financial transactions. The solutions offered are training and assistance in digital marketing, sales and financial transactions.
Human Development and Income Inequality in D-8 Countries: A Maqashid Sharia Perspective Shofiatul Hilwa; Risna Triandhari; Raden Parianom
Signifikan: Jurnal Ilmu Ekonomi Vol. 15 No. 1 (2026)
Publisher : Faculty of Economic and Business, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/sjie.v15i1.49355

Abstract

Research Originality: This study is original in applying a Maqashid Sharia-based human development index to examine the short- and long-run effects of human development on income inequality in D-8 countries. Research Objectives: This study aims to analyze whether human development based on the Maqashid Sharia framework can effectively reduce income inequality in D-8 countries in both the short run and the long run. Research Methods: Using panel data from eight D-8 countries during 2003–2022, income inequality is measured by the Gini index and the Palma ratio, while human development is represented by the Maqashid Sharia Index (MSI). The analysis employs a Panel ARDL model with the Pooled Mean Group estimator to capture short-run and long-run relationships. Empirical Results: The results show that Maqashid Sharia-based human development significantly reduces income inequality in the long run across D-8 countries, reflecting the maslahah-oriented approach of Islamic economic development. In the short run, it reduces inequality in Indonesia and Turkey but increases inequality in Bangladesh, Egypt, and Nigeria. Implications: These findings suggest that human development policies should incorporate moral and value-based dimensions. Policymakers in D-8 countries need to promote not only education, health, and income, but also ethical values to ensure more equitable income distribution. JEL Classification: C33, F22, I32, J61, J62