Articles
<![CDATA[Dampak Stabilitas Sektor Perbankan terhadap Pertumbuhan Kredit di Indonesia ]]>
<![CDATA[Yuni Rahmawati]]>;
<![CDATA[Doni Satria]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 3 No. 3 (2026): MedREP: Volume 3, No. 3, Juli 2026 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[Peneilitian ini mengkaji dampak stabilitas sektor perbankan terhadap pertumbuhan kredit di Indonesia selama periode kuartal I 2004 hingga Kuartal IV 2024 menggunakan data time series kuartalan yang bersumber dari Otoritas Jasa Keuangan (OJK) dan Bank Indonesia. Stabilitas Perbankan diukur melalui tiga indikator utama : risiko kredit (NPL), kecukupan modal (CAR), dan likuiditas (LDR), dengan pertumbuhan GDP dan inflasi sebagai variabel kontrol. Metode Error Correction Model (ECM) Engle-Granger digunakan untuk menganalisis dinamika jangka pendek dan mekasnisme koreksi menuju keseimbangan jangka panjang. Hasil uji kointegrasi mengkonfirmasi adanya hubungan jangka panjang yang stabil antar variabel. Estimasi ECM menunjukkan NPL berpengaruh negatif signifikan (koefisien = -2,1755; p = 0,0003), LDR berpengaruh positif signifikan (koefisien = 0,3010; p = 0,085), dan CAR berpengaruh negatif pada taraf 10 persen (koefisien = -6258; p= 0,057). Koefisien ETC sebesar 24,60 persen per kuartal. Temuan ini menegaskan pengendalian risiko kredit sebagai faktor paling determinan dalam mendukung pertumbuhan kredit berkelanjutan dan stabilitas perbankan sebagai prasyarat fundamental efektivitas intermediasi keuangan di Indonesia.]]>
<![CDATA[PRODUKTIVITAS TENAGA KERJA DAN TINGKAT INFLASI DI INDONESIA ]]>
<![CDATA[ikhma ramadhani]]>;
<![CDATA[Doni Satria]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 3 No. 3 (2026): MedREP: Volume 3, No. 3, Juli 2026 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[This study aims to analyze the effect of inflation on labor productivity in Indonesia by incorporating education, health, and information and communication technology (ICT) as control variables. The study uses panel data from 34 provinces in Indonesia during the period 2015–2024, resulting in 340 observations. The analytical method employed is the System Generalized Method of Moments (System GMM) to address endogeneity issues and capture the dynamic nature of labor productivity. The results show that inflation has a positive and statistically significant effect on labor productivity, with a short-run coefficient of 0.1117 and a long-run coefficient of 0.1668. In addition, education and health have positive and significant effects, while ICT has a negative and significant effect on labor productivity. These findings indicate that moderate inflation can stimulate economic activity and increase productivity, while human capital plays a crucial role in enhancing labor productivity. However, the negative impact of ICT suggests that technology utilization has not been fully optimized for productive activities. This study contributes to the literature by providing empirical evidence using a dynamic panel approach at the provincial level in Indonesia. The findings imply that maintaining stable and moderate inflation, along with improving human capital and optimizing technology utilization, is essential to enhance labor productivity.]]>
<![CDATA[Peranan Sektor Transportasi dan Pengeluaran Pemerintah Dalam Pertumbuhan Ekonomi Indonesia: Analisis Input-Output ]]>
<![CDATA[Miftahul Fauziyah]]>;
<![CDATA[Doni Satria]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 3 No. 3 (2026): MedREP: Volume 3, No. 3, Juli 2026 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[This study analyzes the role of the transportation sector and government spending on Indonesia's economic growth, as measured by input-output analysis. The method used is input-output analysis, which measures the backward and forward linkages in the transportation sector and the multiplier effect on output, income, and employment in the Indonesian economic sector. This study uses input-output data from 185 sectors in 2020, with the transportation sector aggregated to 179 sectors in total, processed using Microsoft Excel. The analysis shows that the transportation sector has the ability to push and pull within the transportation sector itself. Meanwhile, the distribution power index indicates that the transportation sector is less attractive than other sectors, while the sensitivity of the transportation sector is able to drive sector output growth in Indonesia.]]>
<![CDATA[ANALISIS JALUR SUKU BUNGA DAN KREDIT DALAM TRANSMISI KEBIJAKAN MONETER DI INDONESIA ]]>
<![CDATA[Sukma Ria Alafanta]]>;
<![CDATA[Doni Satria]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 3 No. 3 (2026): MedREP: Volume 3, No. 3, Juli 2026 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[This study aims to analyze the monetary policy transmission mechanism inIndonesia through interest rate and credit channels, and evaluate theireffectiveness and response speed toward real output and inflation for the 2017–2024 period. The research method used is quantitative with a VectorAutoregression (VAR) or Vector Error Correction Model (VECM) approach tocapture dynamic relationships and long-term linkages between variables. Thetested variables include BI7DRR, money market interest rates, credit interestrates, credit volume, Industrial Production Index (IPI), and inflation. The resultsshow a cointegration relationship that validates the error correction mechanismtoward long-term equilibrium. Both channels significantly transmit monetarypolicy signals to the real sector, although an incomplete interest rate pass-through remains in credit rates. The study concludes that both channels playvital roles in affecting aggregate demand, with their effectiveness depending onthe banking sector's adjustment speed. Bank Indonesia is advised to strengthenpolicy coordination to minimize transmission barriers, ensuring price stabilityand sustainable economic growth.]]>
<![CDATA[Dampak Fluktuasi Nilai Tukar Terhadap Neraca Perdagangan Bilateral Indonesia Analisis Fenomena J-Curve ]]>
<![CDATA[Tiara Ana Putri]]>;
<![CDATA[Doni Satria]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 3 No. 3 (2026): MedREP: Volume 3, No. 3, Juli 2026 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[This study aims to analyze the impact of exchange rate fluctuations on Indonesia's bilateral trade balance with Japan, the United States, India, Singapore, and China, and to test the existence of the J-Curve phenomenon and the Marshall-Lerner condition. The data used are quarterly data for the period 1993Q1–2024Q4 sourced from the IMF and other related agencies. The analytical method used is VECM with the Impulse Response Function analysis tool to identify the J-Curve. The results show that the J-Curve phenomenon is proven to occur in Indonesia's bilateral trade with Japan and the United States, so that the Marshall-Lerner condition is fulfilled in both countries, while in India, Singapore, and China the J-Curve phenomenon is not proven to occur. These findings indicate that the effectiveness of the exchange rate in improving the trade balance is highly dependent on the structural characteristics of each partner country's trade. This study provides an empirical contribution through the VECM approach on bilateral data with a long and comprehensive period coverage. The implications of this policy indicate that the effectiveness of exchange rate policy in improving Indonesia's trade balance needs to be supported by strengthening export capacity and implementing import substitution strategies.]]>
<![CDATA[KEBIJAKAN PERDAGANGAN INTERNASIONAL DAN TINGKAT INFLASI DI NEGARA-NEGARA ASIA PASIFIK ]]>
<![CDATA[Aufra Ukhfiana]]>;
<![CDATA[Doni Satria]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 3 No. 3 (2026): MedREP: Volume 3, No. 3, Juli 2026 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[Inflasi merupakan salah satu indicator penting yang mencerminkan stabilitas perekonomian suatu negara dan dipengaruhi oleh berbagai faktor, baik dalam negeri maupun di luar negeri. Penelitian ini bertujuan untuk menganalisis pengaruh kebijakan perdagangan internasional yang diproksikan dengan tarif impor terhadap Tingkat inflasi di negara negara Asia Pasifik dengan memasukkan variabel control berupa pengeluaran pemerintah, konsumsi rumah tangga, dan jumlah uang beredar. Penelitian menggunakan data panel dari 18 negara Asia Pasifik selama periode 2013-2022 dengan total 180 observasi. Analisis dilakukan menggunakan regresi data panel, dengan pemilihan uji chow, hausman, dan lagrange multiplier yang menunjukkan bahwa Random Effect Model (REM) merupakan model terbaik. Hasil penelitian menunjukan bahwa tarif impor berpengaruh negatif dan signifikan pada Tingkat signifikan 10% terhadap inflasi. Pengeluaran pemerintah berpengaruh negative dan signifikan, konsumsi rumah tangga berpengaruh positif dan signifikan. Sedangkan jumlah uang beredar berpengaruh negative namun tidak signifikan. Dummy perang dagang berpengaruh positif dan signifikan pada tingkat signifikan 10%. Temuan ini menunjukkan bahwa dinamika inflasi di negara negara asia pasifik dipengaruhi oleh kebijakan perdagangan internasional, khususnya perubahan tariff impor, serta didukung oleh faktor-faktor makroekonomi domestic.]]>
<![CDATA[Dampak Stabilitas Ekonomi terhadap Pertumbuhan Ekonomi Jangka Panjang ]]>
<![CDATA[Dede Yurahman]]>;
<![CDATA[Doni Satria]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 2 No. 1 (2025): MedREP: Volume 2, No. 1, Maret 2025 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[Economic stability plays a crucial role in ensuring long-term economic growth and the well-being of a country. This study examines the impact of economic stability on long-term economic growth by analyzing key variables such as interest rates, population growth, capital accumulation, and technological advancements. Utilizing panel data regression analysis, this research finds that economic stability significantly contributes to long-term economic growth by reducing population growth volatility and providing a conducive investment environment. Additionally, technological advancements and capital accumulation play vital roles in enhancing economic productivity. The findings suggest that policymakers should prioritize economic stability to ensure sustainable economic growth in the future]]>
<![CDATA[DAMPAK TRANSFER PEMERINTAH TERHADAP POLA PENGELUARAN KONSUMSI RUMAH TANGGA DI INDONESIA ]]>
<![CDATA[Octavia Muslira]]>;
<![CDATA[Doni Satria]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 2 No. 3 (2025): MedREP: Volume 2, No. 3, Agustus 2025 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[This study aims to analyze the effect of the family Hope Program (PKH) as from of government social assistance on household consumption expenditure patterns in Indonesia. The approach used is the Quadratic Almost Ideal System (QUAIDS) with the Three-Stage Least Squares (3SLS) estimation technique, using the 2020 National Socio-Economic Survey (SUSENAS) data. The estimation results show that government assistance encourages a crowding in effect in the structure of household consumption, which is reflected in an increase in the proportion of expenditure on categories such as food, education, lighting fuel, and other expenditures. This effect indicates that social assistance acts as an instrument that strengthens the purchasing power of poor households while allowing budget reallocation to priority sectors that were previously neglected. In contrast, the proportion of expenditure on commodities that are flexible or can be postponed, such as transportation, durable goods, entertainment, and clothing, tends to decrease. These findings reinforce the role of social assistance programs in increasing welfare and improving the quality of consumption of vulnerable households.]]>
<![CDATA[Determinan Deforestasi di Pulau Sumatera ]]>
<![CDATA[Teguh Wahyatma]]>;
<![CDATA[Doni Satria]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 2 No. 4 (2025): MedREP: Volume 2, No. 4, November 2025 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[Penelitian ini bertujuan untuk melihat faktor-faktor yang mempengaruhi deforestasi di Pulau Sumatera. Data yang digunakan merupakan data panel yaitu berupa data dari 10 Provinsi di Pulau Sumatera pada tahun 2015-2021. Data yang digunakan merupakan data sekunder yang diperoleh dari Badan Pusat Statistik. Metode penelitian ini yaitu metode kuantitatif dengan pendekatan penelitian deskriptif dan induktif. Penelitian ini menggunakan analisis regresi data panel dengan model terbaik yang terpilih adalah Common Effect Model (CEM). Hasil penelitian menemukan bahwa PDRB subsektor tanaman pangan berpengaruh negatif dan signifikan terhadap deforestasi di pulau Sumatera. PDRB subsektor tanaman holtikultura berpengaruh positif dan signifikan terhadap deforestasi di pulau Sumatera. PDRB subsektor tanaman perkebunan berpengaruh positif dan tidak signifikan terhadap deforestasi di Pulau Sumatera. Tingkat pendapatan berpengaruh negatif dan signifikan terhadap deforestasi di pulau Sumatera. PDRB sektor kehutanan dan penebangan kayu berpengaruh positif dan signifikan terhadap deforestasi di pulau Sumatera.]]>
<![CDATA[Dampak Faktor Sosial Ekonomi Terhadap Kejahatan Properti (Property Crime) di Indonesia ]]>
<![CDATA[Hari Satria]]>;
<![CDATA[Doni Satria]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 2 No. 4 (2025): MedREP: Volume 2, No. 4, November 2025 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[Penelitian ini bertujuan untuk melihat dampak faktor sosial ekonomi terhadap kejahatan properti (Property Crime) di Indonesia. Data yang digunakan merupakan data panel yaitu berupa data dari 34 Provinsi di Indonesia pada tahun 2019-2023. Data yang digunakan merupakan data sekunder yang diperoleh dari Badan Pusat Statistik. Metode penelitian ini yaitu metode kuantitatif dengan pendekatan penelitian deskriptif dan induktif. Penelitian ini menggunakan analisis regresi data panel dengan model terbaik yang terpilih adalah Fixed Effect Model (FEM). Hasil penelitian menemukan bahwa Ketimpangan Pendapatan, Tingkat Pendidikan, dan Kepadatan Penduduk berpengaruh signifikan namun, pada variabel Pengangguran tidak berpengaruh signifikan, sedangkan variabel Kemiskinan dan Kekuatan Kepolisian berpengaruh tidak signifikan terhadap kejahatan properti di Indonesia.]]>
