Jurnal Ekonomi Pembangunan
Jurnal Ekonomi Pembangunan is a peer-reviewed journal that provides a forum for scientific works pertaining to Development Economics. Published twice in a year (June and December). This Journal has p-ISSN 1829-5843, and e-ISSN 2685-0788. This journal was first published since June 2003 by the Department of Development Economics, Faculty of Economics, Universitas Sriwijaya. Editors receive manuscripts of unpublished paper contributions in other journals. JEP 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. Jurnal Ekonomi Pembangunan accepts only English Article within the focus and scope of this journal are 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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<![CDATA[Does Economic Growth, Wage Rate, and Industrial Development Matter for Labor Absorption? ]]>
<![CDATA[Dirta Pratama Atiyatna]]>;
<![CDATA[Ichsan Hamidi]]>;
<![CDATA[Trie Sartika Pratiwi]]>;
<![CDATA[Hamira Hamira]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol. 21 No. 1 (2023): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v21i1.19172
<![CDATA[The dimensions of employment problems are not just limited field or job opportunities and low productivity but are much more serious with different causes. This study aims to determine the effect of the rate of economic growth, economic growth, minimum wages, and the number of industrial units on employment in South Sumatra Province. The data analysis method used in this study is a quantitative analysis method using panel data regression and usage. This research covers a broad scope, namely as many as 17 districts/cities in South Sumatra for 6 years (2014-2019). Based on the results of the analysis and discussion that has been carried out, it can be concluded that the districts/cities in South Sumatra Province in 2016-2019 had the highest employment by looking at the Random Effect Model (REM) labor estimation coefficient which shows that the highest employment is in Palembang City at 75,452,015. Meanwhile, the lowest value is in the Ogan Ilir district at 68,194,663.]]>
<![CDATA[The Effectiveness of Islamic Capital Market Securities in Supporting MSMEs Working Capital Financing ]]>
<![CDATA[Fera Widyanata]]>;
<![CDATA[Ahmad Syathiri]]>;
<![CDATA[Nia Meitisari]]>;
<![CDATA[Asfeni Nurullah]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol. 21 No. 1 (2023): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v21i1.19309
<![CDATA[This study was undertaken to determine how effective Islamic Capital Market Securities, namely the issuance of subordinated sukuk and others sukuk in Islamic banking, are on the quantity of working capital financing distribution to MSMEs in Indonesia. By using monthly time series secondary data and multiple linear regression analysis techniques, it was found that the issuance of subordinated sukuk and others sukuk had a significant positive effect on increasing the quantity of working capital financing distribution to MSMEs. It can be concluded that the policy of Islamic banking to issue Islamic Capital Market Securities effectively supports the increase in the working capital of MSMEs.]]>
<![CDATA[Effect of International CPO Prices, Substitution Goods Prices, and Exchange Rates on Crude Palm Oil (CPO) Export Volume in Indonesia ]]>
<![CDATA[Yanira Berthi Ayu Pradina]]>;
<![CDATA[Dhian Adhitya]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol. 21 No. 1 (2023): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v21i1.19447
<![CDATA[This study aims to analyze the effect of international CPO prices, substitution goods prices, and exchange rates on CPO export volume in Indonesia in the long and short term. The type of research used is quantitative. The data used in this study used secondary data in the form of time series data from January 2014 to June 2022. The data was obtained from the websites of Bank Indonesia (BI), the Indonesian Central Statistics Agency (BPS), the Ministry of Trade and Economic Research. The analysis method used in this study is the Error Correction Model (ECM). The results of research that has been conducted where international CPO prices in the short and long term have a significant and positive influence on Indonesia's CPO export volume. Meanwhile, the price of substitution goods in the short and long term has a negative relationship with CPO Export Volume. Then the variable exchange rate in the long term and in the short term has a significant influence on the CPO Export Volume. For this reason, the government is that it can be used for information and input materials to improve CPO exports for the better in the future. This can be done in several ways to reduce export costs charged to producers so as to maximize international CPO prices in Indonesia. ]]>
<![CDATA[Sustainability of Microfinance Institutions: An Analysis of Influencing Factors in South Sumatra Province ]]>
<![CDATA[Ariodillah Hidayat]]>;
<![CDATA[Suhel Suhel]]>;
<![CDATA[Mardalena Mardalena]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol. 21 No. 1 (2023): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v21i1.19573
<![CDATA[Microfinance has become an important tool for poverty alleviation in many countries and the Indonesian government through various intervention programs to overcome poverty has also implemented microfinance programs in Indonesia, one of which is through the Kota Tanpa Kumuh (Kotaku) Program. This study aims to analyze the factors that affect the sustainability of the Financial Management Unit (UPK) Microfinance Institutions (MFI) operating in South Sumatra Province. The purpose of this study is to gain a better understanding of these factors and their sustainability so that they can provide recommendations to stakeholders at both the central and regional levels. The data collection method was used by surveying 50 samples of the UPK Community Self-Reliance Agency (BKM) spread across three cities, namely Palembang City, Prabumulih City and Lubuk linggau City which is the largest city there are UPK BKM microfinance institutions from 7 cities and districts intervened in the Province South Sumatra. The analytical method in this study uses logistic regression to analyze data using descriptive qualitative analysis to explain the factors that influence the sustainability of UPK BKM Microfinance Institutions (MFI) in South Sumatra Province. The results showed that the factors that had a significant effect on the level of sustainability of MFI were BKM support and portfolios at risk.]]>
<![CDATA[Assessing Fiscal Sustainability in Indonesia: Error Correction Mechanism Diagnostic ]]>
<![CDATA[Gabriella Deby Laura]]>;
<![CDATA[Rahmania Nur Chasanah]]>;
<![CDATA[Nafisatul Faridah]]>;
<![CDATA[Fitri Kartiasih]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol. 21 No. 1 (2023): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v21i1.19624
<![CDATA[Indonesia's debt is increasing and is not controlled properly, which will result in a fiscal budget deficit. This study aims to determine the condition of fiscal sustainability in Indonesia by looking at the factors that affect the debt-to-GDP ratio in 2012 Quarter I to 2022 Quarter II. Fiscal sustainability can be seen from the debt-to-GDP ratio proxy variable and the independent variables used are the previous quarter's debt ratio, economic growth, inflation, and the exchange rate. This research is a qualitative type with a brief descriptive about the state of the debt ratio and the variables that influence it and quantitatively using the Error Correction Mechanism (ECM) using statistical software called EViews. The results show that in the long term the debt-to-GDP ratio in Indonesia is significantly influenced by the previous quarter's debt ratio, economic growth, inflation, and the exchange rate. Meanwhile, in the short term, changes in the debt to GDP ratio are significantly influenced by changes in the debt ratio in the previous quarter, changes in economic growth, and changes in inflation.]]>
<![CDATA[Identifying Factors Influencing Urbanization in Denpasar City ]]>
<![CDATA[Gde Indra Surya Diputra]]>;
<![CDATA[I Made Risma M. Arsha]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol. 21 No. 1 (2023): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v21i1.19749
<![CDATA[Urbanization has both positive and negative impacts on an area. This study aims to analyze the relationship between GRDP, district minimum wages, and labor participation with urbanization in Denpasar City. The research method used is multiple linear regression analysis using GRDP data, district minimum wages and labor participation in 2010 - 2020 and processed with SPSS version 25.0 with a determined significance level of 95% (p <0.05). The results of the study show that the Gross Regional Domestic Product (GRDP), district minimum wages and labor participation affect urbanization partially and simultaneously with probability (p<0.05). Testing the level of correlation with the Adjusted R Square of 0.999 (99.9%) gross regional domestic product (GRDP), district minimum wages and labor participation have a very strong influence on urbanization in Denpasar City. Socio-economic disparities, inadequate infrastructure, low industrialization, low job availability, low wages, and inadequate social networks increase the desire for urbanization. The practical implication of this research is to increase economic growth and equity in controlled urbanization areas as a solution to accelerating economic development.]]>
<![CDATA[Indonesian Stock Market Reaction: Effects of Uncertainty Policy Shocks in the United States and China ]]>
<![CDATA[Rilmia Oktavian]]>;
<![CDATA[Alvin Sugeng Prasetyo]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol. 21 No. 1 (2023): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v21i1.20658
<![CDATA[The purpose of this study is to examine and analyze the effect of economic policy uncertainty US and China on the Indonesian stock market. The data uses time series, from January 2000-July 2022. The methods used are the Structural Vector Error Correction Model (SVECM). The results show that the uncertainty of the US and China's economic policies has a negative and significant effect on the Indonesian stock market. The response of Indonesian stock market responded negatively to the economic policy uncertainties of the US and China. The results of the study show that the uncertainty of the US and China's economic policies has a negative and significant effect on the Indonesian stock market. The response of Indonesian stock market responded negatively to the economic policy uncertainties of the United States and China. The results of the study show that the uncertainty of the US and China's economic policies has a negative and significant effect on the Indonesian stock market. Indonesian stock market responded negatively to the economic policy uncertainties of the United States and China.]]>
<![CDATA[Concentration and Competition in the Pharmaceutical Sector in an Era of Challenges ]]>
<![CDATA[Sunarmo Sunarmo]]>;
<![CDATA[Elif Pardiansyah]]>;
<![CDATA[Ani Asriyah]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol. 21 No. 1 (2023): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v21i1.20779
<![CDATA[In 2018, the Central Bureau of Statistics noted that the pharmaceutical industry grew 7.36 percent and slowed by 5.59 percent during the Covid-19 pandemic in 2020. Fluctuations in the growth of the pharmaceutical sector before and during the Covid-19 pandemic encouraged increased competition and concentration. This study examines the concentration and competition of pharmaceutical businesses listed on the Indonesia Stock Exchange from the first quarter of 2018 to the third quarter of 2020. The method used in this study is a quantitative approach with a concentration ratio model (CR) and the Hirschman-Herfindahl index (HHI). The calculation results show that the Kalbe Farma company controls over 65 percent of the market share, while 9 pharmaceutical companies contest the other 35 percent. KLBF is a company with the most sustainable competitive advantage compared to others; this can be seen from product differentiation, use of technology, and a superior market share of 65.39%. In addition, from the aspect of market competition, it shows that the pharmaceutical industry before and during the Covid-19 pandemic was in a tight oligopoly market with scores of 99.20 and 99.22. The results show the implications that pharmaceutical sector actors can carry out our policies related to competitive price competition. Another procedure is that companies must constantly observe and analyze the actions of other pharmaceutical companies in making business decisions.]]>
<![CDATA[The Impact of Resilience on Household Food Insecurity in Indonesia ]]>
<![CDATA[Pipit Ronalia]]>;
<![CDATA[Djoni Hartono]]>;
<![CDATA[Misdawita Misdawita]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol. 21 No. 1 (2023): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v21i1.20864
<![CDATA[This study aims to determine the impact of resilience on household food insecurity in Indonesia. This study uses data from the National Socio-Economic Survey (Susenas) and Village Potential Data Collection (Podes) in 2018. The resilience variable is a latent variable in the form of a score formed from the pillars of access to basic services, adaptive capacity, assets, and social safety nets. Meanwhile, the food insecurity variable is approached by the Rasch Scale and Raw Score based on the Food Insecurity Experience Scale (FIES). Estimation of the resilience score was carried out using factor analysis and Structural Equation Model (SEM). After estimating the resilience score, estimation using instrument variables with the Two Stage Least Square (2SLS) method was carried out to determine the causal relationship between resilience and food insecurity. The number of community protection units (linmas) in residential villages is used as instrumental variable as a form of institutional quality approach. The results showed that the higher the level of resilience, the lower the level of household food insecurity. An increase in the resilience score by 1 unit will reduce the level of food insecurity by 0.733 units. The role of resilience in reducing food insecurity is quite large, around 22.212 relative to the average Rasch Scale of all observations.]]>
