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INDONESIA
Jurnal Ekonomi Pembangunan
ISSN : 16932595     EISSN : 25274023     DOI : -
Core Subject : Economy,
Jurnal ekonomi pembangunan published by Pusat Pengkajian Ekonomi dan Kebijakan Publik (PPEKP), Faculty of Economics and Business, University of Muhammadiyah Malang. This journal is used as a source of information about scientific works in the field of development economics for every academician, researcher, lecturer and activist and other authors.
Arjuna Subject : -
Articles 390 Documents
The Analysis of Economic Growth and Human Development in Gorontalo Province Fizza Anindhita; Muhammad Hasbi
Jurnal Ekonomi Pembangunan Vol. 20 No. 01 (2022): Jurnal Ekonomi Pembangunan
Publisher : Pusat Pengkajian Ekonomi dan Kebijakan Publik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jep.v20i01.18693

Abstract

Economic Development in Gorontalo Province has a high growth rate when compared to the national growth rate, but this is inversely proportional to the value of the Human Development Index (HDI) which is below the national value, even though HDI itself is one of the determining factors for the success of development in an area. Therefore, this study aims to see whether there is a relationship between economic growth and HDI in Gorontalo Province. This research method uses Granger causality analysis technique to see the reciprocal relationship between economic growth and HDI, as well as multiple linear regression analysis to see the effect of each HDI indicator on economic growth in Gorontalo Province. This study found that there is a mutually influencing relationship between economic growth and HDI. Regression analysis also explains that the education indicator of HDI has a positive and significant effect in increasing economic growth in Gorontalo Province, while the Health indicator has no significant effect. Through the results of this study, it is hoped that the Gorontalo Provincial government can determine the right policies to increase the HDI of the community by improving the quality of its community resources so that the economy will also increase.
Monetary Policy and Innovation During Recession in Indonesia jeffry sebayang; Ahmad Albar Tanjung; Sukardi Sukardi
Jurnal Ekonomi Pembangunan Vol. 20 No. 01 (2022): Jurnal Ekonomi Pembangunan
Publisher : Pusat Pengkajian Ekonomi dan Kebijakan Publik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jep.v20i01.18896

Abstract

The COVID-19 pandemic affected global economic growth, including Indonesia's economic recession for four quarters from Q2 2020 to Q1 2021. This study uses Schumpeter's growth theory to analyze the interest rate policies and innovations that encourage economic growth in Indonesia in the long term. This study uses a quantitative approach with the Auto Regressive Distributed Lag (ARDL) model with the variables of GDP, BI interest rates, consumption, innovation, and investment credit. The study results show that Bank Indonesia's accommodative interest rate policy with low-interest rates during the recession due to the Covid-19 pandemic positively influences economic growth. However, in the long-term, interest rates must compete with interest rates from other countries to encourage investment capital flows to Indonesia. The findings show that innovation has not yet affected economic growth in Indonesia, but economic growth fosters innovation to accelerate technology transfer from developed countries through foreign investment. Therefore, the support of the Government and Bank of Indonesia to provide incentives through tax breaks and low-interest rates to business actors developing R&D and innovation will encourage accelerating technology and innovation growth in Indonesia.
Disparities Among Districts in Central Java Province: Cluster Analysis Based on Several Well-Being Indicators Dewi Agita Pradaningtyas; Tityas Margawati; Joni Trisetio Putro
Jurnal Ekonomi Pembangunan Vol. 20 No. 01 (2022): Jurnal Ekonomi Pembangunan
Publisher : Pusat Pengkajian Ekonomi dan Kebijakan Publik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jep.v20i01.19364

Abstract

This paper aims to group districts in Central Java Provinces based on several well-being indicators published by The National Statistics Agency of Indonesia (BPS) in 2019. The Ward method used hierarchical cluster analysis to group districts and identified disparities among clusters. The results show that districts in Central Java can be divided into 3 clusters: cluster 1 consists of 4 sections with a high level of well-being; cluster 2 consists of 16 districts with a moderate level of well-being; and cluster 3 consists of 15 districts with the low level of well-being. The average variable score for each cluster indicates disparities among groups. The variable score for cluster 1 with the high level of well-being is far above the score for clusters 2 and 3 in economics, education, sanitation, and public health. Only four districts belong to the cluster with a high level of well-being, all of which have administrative status as a city. In contrast, communities with a low level of well-being all have a managerial position as regencies. The results also found that districts in the western part of Central Java tend to have a lower level of well-being than the eastern part of Central Java. Thus, Central Java Province needs to pay more attention to districts in cluster 3 with a low level of well-being, especially in the western part of Central Java in terms of economy, education, sanitation, and public health.
Assessing The Effects of Structure and Conduct on The Performance of Fried Onion SMEs Aina Suciati; Suharno Suharno; Irma Suryahani
Jurnal Ekonomi Pembangunan Vol. 20 No. 01 (2022): Jurnal Ekonomi Pembangunan
Publisher : Pusat Pengkajian Ekonomi dan Kebijakan Publik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jep.v20i01.19931

Abstract

This study aims to analyze the form of market structure in the Fried Onion Industry in Kuningan Regency and to analyze the effect of capital intensity as an indicator of market structure, the effect of Capital Labor Ratio (CLR), and advertising intensity as an indicator of industrial behavior, and the effect of internal efficiency (Xeff) on Price Cost Margin (PCM) as an indicator of industrial performance in the Fried Onion Industry in Kuningan Regency. This study uses multiple linear regression as quantitative analysis. Based on the research and data analysis results, the market structure formed in the Fried Onion Industry in Kuningan Regency is monopolistic competition, with the concentration ratio of the four largest companies (CR4) at 28.76 percent. Based on the results of regression analysis: it shows that capital intensity has no positive and significant effect on price-cost margin (PCM), capital-labor ratio (CLR) has a positive and significant impact on price-cost margin (PCM), advertising intensity has no positive and significant effect on price-cost margin (PCM), and internal efficiency (Xeff) have a positive and significant impact on the price-cost margin (PCM) in the Fried Onion Industry in Kuningan Regency. To increase the Price Cost Margin (PCM), the Fried Onion Industry in Kuningan Regency must continue to improve its internal efficiency. It is necessary to increase the use of production machines.
Analysis of Poverty Determinants in the Ex-Kedu Residency 2015-2020 Aqifa Pebrianti; Nurul Istiqomah
Jurnal Ekonomi Pembangunan Vol. 20 No. 01 (2022): Jurnal Ekonomi Pembangunan
Publisher : Pusat Pengkajian Ekonomi dan Kebijakan Publik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jep.v20i01.20131

Abstract

This study aims to analyze and determine the effect of the number of BPJS participants, especially PBI, education, UMK, and per capita income, on poverty in six Cities/Regencies of the Former Kedu Residency in 2015 – 2020. The method used is quantitative, where data acquisition is secondary data through various sources in time series and cross-section data. The cross-section data consists of six cities/districts, while the time series data is from 2015 to 2020. Technically, the data is analyzed using panel data regression with the Fixed Effect Model approach as an excellent model to use. The results show that the variable number of BPJS participants, especially PBI, positively affects poverty in six Cities/Regencies of the Former Kedu Residency in 2015-2020; the UMK and income per capita variables harm poverty. Meanwhile, the education variable measured by the school participation rate parameter does not affect poverty.
Analysis of the Effect of Population Growth, Human Development Index and Unemployment Rate on Poverty in West Java Province 2017-2020 Anggi Irmaa Lismana; Hadi Sumarsono
Jurnal Ekonomi Pembangunan Vol. 20 No. 01 (2022): Jurnal Ekonomi Pembangunan
Publisher : Pusat Pengkajian Ekonomi dan Kebijakan Publik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jep.v20i01.20286

Abstract

Poverty is a significant problem faced by several countries. Several factors causing poverty selected population growth, HDI, and unemployment rate, which are studied to influence poverty in the province of West Java. This study aims to see whether population growth, human development index, and unemployment rate contribute to poverty in West Java province in 2017-2020, using secondary data from the Central Statistics Agency (BPS) website. The assisted panel data regression method was used in this study, administered by the STATA application to process the data. The data processing results in this study indicate that population growth and the human development index negatively affect poverty. In contrast, unemployment has a positive-not significant effect on poverty. Simultaneous test results show that population growth, human development index, and unemployment in poverty in West Java Province from 2017 to 2020
Does Financial Development Affect the Quality of Environment? Evidence From Indonesia Yollit Permata Sari; Harby Prasetya
Jurnal Ekonomi Pembangunan Vol. 20 No. 01 (2022): Jurnal Ekonomi Pembangunan
Publisher : Pusat Pengkajian Ekonomi dan Kebijakan Publik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jep.v20i01.20448

Abstract

This study aims to see the effect of financial development on carbon emissions. Using PCA to convert variables into small uncorrelated variables while maintaining the original data, this study uses five variables representing the financial sector converted into two components. The first component consists of variables Domestic credit to the private sector by banks and Domestic credit to the private sector. At the same time, the second component includes variables Domestic credit provided by the financial sector, Market capitalization of listed domestic companies, and Stock Traded. We can conclude from the estimation results that the first component is the banking-based financial sector while the second is the stock-based financial sector. While the results of the study using multiple linear regression to analyze the effect of the financial development on carbon emissions found that the financial bank-based industry had a negative relationship. In contrast, the stock-based financial sector had a significant positive relationship with affecting carbon emissions. There are many ways that the government can do to make the financial sector contribute to environmental safety, such as offering interest discounts to encourage investment in energy-efficient technologies and asking companies to do CSR in projects that are more environmentally friendly
Analysis Of The Socio-Economic Effect On Unemployment In Gorontalo Province Ivan Santoso; Muhamad Zikri Zam-Zam; Syarwani Canon
Jurnal Ekonomi Pembangunan Vol. 20 No. 01 (2022): Jurnal Ekonomi Pembangunan
Publisher : Pusat Pengkajian Ekonomi dan Kebijakan Publik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jep.v20i01.20843

Abstract

This study aims to know whether or not socio-economic indicators affect unemployment in Gorontalo Province. This study uses secondary data from 5 regencies and one city (Gorontalo Regency, Bone Bolango Regency, Gorontalo Utara Regency, Baalemo Regency, Pohuwato Regency, and Gorontalo City) from 2011 to 2020 sourced from journals, articles, and government agencies, such as Statistics of Indonesia. The data analysis technique uses panel data regression analysis. The finding shows that population growth has a negative and insignificant effect on unemployment in Gorontalo Province. Population growth will not necessarily reduce the unemployment rate in the Regencies/cities in Gorontalo Province. Economic growth has a negative and significant effect on unemployment in Gorontalo Province; every increase in economic growth can reduce the unemployment rate in the Regencies/cities in Gorontalo Province. Inflation has a negative and insignificant effect on unemployment in Gorontalo Province; inflation does not necessarily reduce the unemployment rate in the Regencies/cities in Gorontalo Province. The Human Development Index has a negative and significant effect on unemployment; This means that the increase in the human development index can reduce the unemployment rate in the Regency/City in Gorontalo Province.
Analysis of the Effect of the Gini Ratio, Percentage of Poor Population, GRDP, HDI, and Average Per Capita Expenditures on Development Inclusivity Index in Java Island Muftiyatul Azizah
Jurnal Ekonomi Pembangunan Vol. 20 No. 02 (2022): Jurnal Ekonomi Pembangunan
Publisher : Pusat Pengkajian Ekonomi dan Kebijakan Publik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jep.v21i02.20306

Abstract

This study aimed to analyze whether the Gini ratio, the percentage of poor people, Gross Regional Domestic Product (GDP), Human Development Index (IPM), and average per capita expenditure affect the inclusiveness index of development in Java Island. The method used is panel data regression, namely choosing the best model between the fixed effect model, random effect model, and common effect model and using the classic assumption test. This research is quantitative. The data used in this study are data obtained from BPS and Bappenas from 2014 to 2020. The results show that the factor that has a significant effect on the development inclusiveness index is the Gini ratio with a significance value of 0.0225, the percentage of poor people with a significance value of 0.0015, and Gross Regional Domestic Product (GRDP) with a significance value of 0.0174. Meanwhile, the Human Development Index (IPM) and per capita expenditure have no significant effect on the development inclusiveness index in Java.
The The Impact of a Cashless Payment System on Inflation muslikhati muslikhati; Fitrian Aprilianto
Jurnal Ekonomi Pembangunan Vol. 20 No. 02 (2022): Jurnal Ekonomi Pembangunan
Publisher : Pusat Pengkajian Ekonomi dan Kebijakan Publik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jep.v21i02.20885

Abstract

The rise of transactions without using money or what is commonly referred to as cashless transactions. Cashless transactions have several advantages, namely, functional, effortless, and quick. In addition, cashless transactions get an impact on monetary policy in Indonesia. The convenience obtained when conducting cashless transactions results in the acceleration of the velocity of money. Although the number of cash transactions in the community has decreased, the rate of money creates a high intensity with the use of cashless transactions. If the power of money circulation is high, it is feared that it will cause inflationary effects. This study aims to determine the impact of the cashless payment system on inflation. A quantitative approach was used in this study with secondary data which in the source obtained through documentation techniques obtained from Bank Indonesia (BI) and the Central Statistics Agency (BPS).  from January 2009 until December 2020. The analysis technique uses multiple linear regression analysis. The results showed that the electronic-money variables had a significant negative effect, the debit card variables had a significant positive impact, the credit card variables had an insignificant negative effect, and the interest rate variables had a significant positive impact.

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