Media Riset Ekonomi Pembangunan (MedREP)
Jurnal Media Riset Ekonomi Pembangunan (MedREP) is a peer-reviewed journal that provides a forum for scientific works pertaining to Development Economics. This journal was first published since March 2024 by the Universitas Negeri Padang .This journal published four times a year and has e-ISSN 3032-6400. MedREP is expected to be used as a reference for academicians in writing a scientific, relevant, and dynamic article to enhance the new generation that is found in writing an academic paper. The Redaction Board accepts only research in the field of legal science that already in the form of a journal article to be considered for publication. The aims of MedREP are to provides immediate open access to its content in the principle of making research freely available to the public as a support for the greater global exchange of knowledge. The language used in this journal is English or Indonesian. Scope of articles published in MedREP is consist of a broad range of topic in the field of development economics, energy economics, environmental economics, international trade, public finance, rural development, regional economics, financial development, monetary economics, industrial economics, Islamic economics, agricultural economics, and labor economics.
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188 Documents
<![CDATA[Analisis Pengaruh Pertumbuhan Ekonomi Terhadap Degradasi Lingkungan di Indonesia ]]>
<![CDATA[Wafi Dinilhaq]]>;
<![CDATA[Zul Azhar]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 1 No. (1) (2024): MedREP: Volume 1, No. 1, Februari 2024 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/medrep.v1i(1).2
<![CDATA[This study aims to determine and analyze the effect of economic growth on environmental degradation in Indonesia. This study uses secondary data sourced from the World Bank and Global Carbon Project (GCP) with research variables divided into two parts, namely the bond variable which in this study is defined as environmental degradation and the independent variable consisting of economic growth , population density, energy consumption and trade linkages. This study uses multiple regression analysis. The results of this study reveal that: (1) Economic growth has a positive and significant effect on environmental degradation in Indonesia. (2) Population density has a positive and significant effect on environmental degradation in Indonesia. (3) Energy consumption has a positive and insignificant effect on environmental degradation in Indonesia. (4) Trade openness has a positive and insignificant effect on environmental degradation in Indonesia (5) Economic growth, population density, energy consumption and emergence of trade have a simultaneous effect on environmental degradation in Indonesia.]]>
<![CDATA[Pengaruh Pendidikan, Kesehatan dan Inflasi Terhadap Kedalaman Kemiskinan di Indonesia ]]>
<![CDATA[Ages Fitri Hidayat]]>;
<![CDATA[Syamsul Amar]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 1 No. (1) (2024): MedREP: Volume 1, No. 1, Februari 2024 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/medrep.v1i(1).3
<![CDATA[This research aims to determine and analyze the influence of education, health and inflation on the depth of poverty in Indonesia. This research uses panel data from 2017 - 2021 in 34 provinces in Indonesia sourced from the Central Statistics Agency. Before using regression, the Chow test and Hausman test were carried out and the results of the analysis showed that the selected model was the Random Effect Model (REM). The research results reveal that: (1) Education has a significant effect on the depth of poverty in Indonesia (2) Health has an insignificant effect on the depth of poverty in Indonesia (3) Inflation has an insignificant effect on the depth of poverty in Indonesia. Based on the results of this research, it is recommended that the Government needs to expand learning opportunities and increase the allocation of boss funds. Then reduce inflation so that the poverty gap becomes narrower.]]>
<![CDATA[Determinan Ketimpangan Pembangunan di Indonesia ]]>
<![CDATA[Ari Ferdian]]>;
<![CDATA[Zul Azhar]]>;
<![CDATA[Novya Zulva Riani]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 1 No. (1) (2024): MedREP: Volume 1, No. 1, Februari 2024 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/medrep.v1i(1).4
<![CDATA[The purpose of this study is to analyze the influence of the rate of economic growth, human development index (HDI), foreign investment (PMA) and labor force on development inequality in Indonesia. This research uses panel data from 2017 to 2022 in 34 provinces in Indonesia sourced from the Central Statistics Agency (BPS). By using a panel data regression model, this research reveals that the rate of economic growth and foreign investment (PMA) have a positive and significant effect on development inequality. The human development index (HDI) has a negative and insignificant effect on development inequality and the workforce has a positive and insignificant effect on development inequality.]]>
<![CDATA[Pengaruh Pembangunan Infrastruktur Ekonomi Terhadap Pertumbuhan Ekonomi Inklusif Di Sumatra Barat ]]>
<![CDATA[Aditya Nugraha Alius]]>;
<![CDATA[Ali Anis]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 1 No. (1) (2024): MedREP: Volume 1, No. 1, Februari 2024 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/medrep.v1i(1).5
<![CDATA[This research aims to determine the influence of economic infrastructure on inclusive economic growth in West Sumatra from 2014 to 2021. This type of research is quantitative. The object of this research was carried out in all regencies/cities in West Sumatra for the period 2014 to 2021. The type of data used was secondary data that researchers obtained from the West Sumatra Central Bureau of Statistics (BPS). The data analysis method used is panel data regression analysis, with the Chow test, Hausman test and hypothesis test (R2 test, F test and t test), the panel data regression estimation model used is the Fixed Effect Model, data processing uses the E-program Views 12. The results of this research show that together the infrastructure variables electricity, water, roads and communication technology have a significant effect on the level of inclusive economic growth in West Sumatra. Partially: (1) electricity infrastructure has a positive but not significant effect on the level of inclusive economic growth. (2) water infrastructure has a positive and significant effect on the level of inclusive economic growth. (3) road infrastructure has an insignificant positive effect on the level of inclusive economic growth. (4) communications technology infrastructure has a positive and significant effect on the level of inclusive economic growth.]]>
<![CDATA[Analisis Pengaruh Infrastruktur Jalan dan Kepadatan Penduduk Terhadap Pendapatan Per Kapita di Pulau Sumatera ]]>
<![CDATA[Cut Aja Alvina]]>;
<![CDATA[Mike Triani]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 1 No. (1) (2024): MedREP: Volume 1, No. 1, Februari 2024 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/medrep.v1i(1).6
<![CDATA[This study aims to examine and analyze the effect of road infrastructure and population density on per capita income in 10 provinces on the island of Sumatra. The type of data used in this study is secondary data sourced from the Indonesian Central Statistics Agency (BPS) and other related agencies. In this study, panel data regression analysis techniques were used using the Random Effect Model (REM) method with cross-sectional data obtained from 10 provinces on Sumatra Island as well as combined time series data for the period 2015 to 2022. The results of this study found that (1) road infrastructure has a negative and significant effect on income per capita on the island of Sumatra. (2) Population Density has a positive and significant effect on Per Capita Income on Sumatra Island.]]>
<![CDATA[Analisis Penyerapan Tenaga Kerja Dalam Sektor Industri Besar dan Sedang di Sumatera Barat ]]>
<![CDATA[Yusuf Galih Sulthana]]>;
<![CDATA[Ariusni Ariusni]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 1 No. 2 (2024): MedREP: Volume 1, No. 2, Juli 2024 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[This research aims to find out and analyze; (1) how big is the influence of GRDP on labor absorption in large and medium industries in West Sumatra, (2) how big is the influence of wages on labor absorption in large and medium industries in West Sumatra, (3) how big is the influence of the number of companies on labor absorption large and medium industries in West Sumatra, (4) how big is the influence of GDP, wages and number of companies on labor absorption in large and medium industries in West Sumatra. This type of research is descriptive and associative research. The data used is panel data with the 2017-2020 time series and cross section of 19 19 districts and cities in West Sumatra sourced from the Central Statistics Agency (BPS). The method used in this research is panel data regression analysis using a fixed effect model approach assisted by Eviews 9 software. The results of this research show that; (1) GRDP has a positive and significant influence on the employment of large and medium industries in West Sumatra (2) wages have an insignificant influence on the employment of large and medium industries in West Sumatra (3) the number of companies has a significant influence on labor absorption in large and medium industries in West Sumatra (4) the number of companies, wages and GRDP together have a significant effect on labor absorption in West Sumatra.]]>
<![CDATA[Suku Bunga Rill dan Keadilan Sosial: Dalam Konteks Ketimpangan Distribusi Pendapatan Pada Negara Berkembang ]]>
<![CDATA[Tissa Asna Yenti]]>;
<![CDATA[Doni Satria]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 1 No. 2 (2024): MedREP: Volume 1, No. 2, Juli 2024 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[Social justice is a matter of equality of opportunity that aims to establish a fair relationship between individuals and society. Interest is one factor that has an impact on social justice. The effect of interest on social justice is analyzed in the context of income distribution inequality. Income distribution inequality in developing countries tends to be large, indicating the high inequality that occurs. This study aims to analyze the impact of real interest rates on income distribution inequality in 64 developing countries in 2010-2019. Based on the type of data and the form of equation, this study uses Dynamic Panel Data analysis method with Generalized Method of Moment approach. This research is analyzed using System General Method of Moment (SYS GMM) two step estimator. The results show that real interest rates affect income distribution inequality. A low real interest rate will increase income distribution inequality. This is because high-income households earn most of their income from assets that are more vulnerable to interest rates than wages.]]>
<![CDATA[Pengaruh Inklusi Keuangan Terhadap Ketimpangan Distribusi Pendapatan Pada Negara Berkembang ]]>
<![CDATA[Shally Putri Amanda]]>;
<![CDATA[Joan Marta]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 1 No. 2 (2024): MedREP: Volume 1, No. 2, Juli 2024 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[The large income distribution inequality in developing countries indicates the high inequality that occurs. This study aims to analyze the effect of financial inclusion on income distribution inequality in 92 developing countries in 2010-2019. The dependent variable in this study is income distribution inequality and the independent variables consist of financial inclusion with indicators of the number of bank branches, the number of Automated Teller Machines (ATMs), and the proportion of bank loans to GDP. The control variables used in this study are Foreign Direct Investment, Trade Openness, Inflation, Labour, and Economic Growth. The analysis uses System Generalized Method of Moments (Sys-GMM) two-step estimator. The results show that access to financial services from bank branches and ATMs used has an effect on income distribution inequality, while the proportion of bank loans has no significant effect on income distribution inequality in developing countries]]>
<![CDATA[Dampak Global Dan Domestik Output Gap Terhadap Inflasi: Pendekatan Analisis Kurva Phillips ]]>
<![CDATA[Figo Darevielsyah]]>;
<![CDATA[Doni Satria]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 1 No. 2 (2024): MedREP: Volume 1, No. 2, Juli 2024 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[Penelitian ini menganalisis pengaruh output gap global dan domestik terhadap inflasi di Indonesia, serta mengevaluasi eksistensi kurva Phillips dalam konteks inflasi Indonesia.Data kuartalan dari tahun 1996 hingga 2022 digunakan untuk menguji empat model kurva Phillips hybrid dengan metode Generalized Method of Moments (GMM). Hasil menunjukkan respon inflasi yang berbeda melalui sektor produsen dan konsumen. Output gap domestik memiliki pengaruh yang cukup signifikan terhadap inflasi, sedangkan pengaruh output gap global tergolong lemah. Secara keseluruhan, inflasi backward-looking memiliki pengaruh yang lebih kuat dibandingkan inflasi forward-looking. Sektor konsumen dan output gap domestik merupakan faktor pendorong utama inflasi di Indonesia. Penelitian ini menemukan bukti empiris yang menunjukkan bahwa kurva Phillips masih relevan dalam menjelaskan hubungan antara inflasi dan output di Indonesia, terutama pada sektor produsen.]]>
<![CDATA[Faktor - Faktor Yang Mempengaruhi Prevalensi Ketidakcukupan Konsumsi Pangan di Indonesia ]]>
<![CDATA[Rahmiyatin Nisa]]>;
<![CDATA[Mike Triani]]>
<![CDATA[ Media Riset Ekonomi Pembangunan (MedREP) Vol. 1 No. 2 (2024): MedREP: Volume 1, No. 2, Juli 2024 ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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<![CDATA[This study aims to determine and analyze how the impact of the number of poor people, rice production, and food expenditure on the prevalence of undernourishment in Indonesia from 2018 - 2022. This study uses secondary data sourced from the Badan Pusat Statistik (BPS). With research variables grouped into two parts, namely the dependent variable which in this study uses the prevalence of undernourishment and the independent variable consisting of the number of poor people, rice production, and per capita food expenditure. This study uses panel data regression analysis using the Fixed Effect Model (FEM) method. The results showed that the variable number of poor people has a positive and significant effect on the prevalence of undernourishment, the variable rice production has a negative and significant effect on the prevalence of undernourishment and the variable per capita food expenditure has a positive and significant effect on the prevalence of undernourishment in Indonesia. This study provides a deeper understanding of the factors that influence the prevalence of undernourishment in Indonesia. The results of this study can also be used as a basis for formulating more effective policies related to public food consumption in Indonesia.]]>
