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 Editors receive manuscripts of unpublished paper contributions in other journals.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.
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<![CDATA[The Effect of Educational Mismatch on Wages: A Comparative Study of Migrant and Native Workers ]]>
<![CDATA[Ferry Maurist Sitorus]]>;
<![CDATA[Padang Wicaksono]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 19, No 2 (2021): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v19i2.13937
<![CDATA[One of the important issues in the Indonesian labor market is an educational mismatch. And one of the implications caused by educational mismatch is that the wages received are unsuitable with the educational qualifications have. This study attempts to relate the educational mismatch phenomenon to the issue of internal migration. Hence, this study aimed to reveal the effect of educational mismatch on the earning of workers, especially migrant and native workers. The discussion of educational mismatch was more specific to migrant workers and native workers because these two types of workers had quite different potential earnings. The data used in this research were gained from the National Labor Force Survey (SAKERNAS) in August 2019. The unit of analysis used was workers with labor/employees’ status other than TNI/POLRI aged 15-64 years and over. The results showed that migrant workers were more likely to experience over education than native workers, and native workers were more likely to experience undereducation than migrant workers. Then, based on the results of the multiple linear regression analysis, it was found that migrant workers encountered greater wage penalties than native workers.]]>
<![CDATA[Regional Convergence between Western and Eastern Indonesia ]]>
<![CDATA[Vanessa Aurelia]]>;
<![CDATA[Lucky Permana]]>;
<![CDATA[Albert Hasudungan]]>;
<![CDATA[Alvin Desfiandi]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 19, No 2 (2021): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v19i2.15366
<![CDATA[This article aims to investigate the existence and determinants of regional convergence of western and eastern Indonesia. Regional convergence itself is a condition where eventually, all regions will grow into one similar level of income. Previous studies seem to verify the existence of regional convergence. Based on previous regional economic scholarship. the regional convergence is signified with the significant relationship of past lag real GDP per capita with current GDP per capita. However, the increasing gap between western and eastern Indonesia in terms of GDP per capita brings into the critical issue of the possible attainment of the existence of regional convergence in Indonesia. In this paper, the fixed effect panel data regression method was utilized to determine the current state of Indonesia’s regional convergence process and to figure out the relationship of education, mining, and financial development to regional economic growth. From the study, regional convergence is found to be insignificant from 2010 to 2019. This study also managed to determine that financial development, mining contribution, the elementary, and high school enrollment rate is positively correlated with economic growth.]]>
<![CDATA[The Effect of Inflation, Interest Rates, Exchange Rates, and Real GDP on Financial Deepening in Indonesia: Evidence from Error Correction Model Approach ]]>
<![CDATA[Devi Putri]]>;
<![CDATA[Devi Valeriani]]>;
<![CDATA[Anggraeni Yunita]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 19, No 2 (2021): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v19i2.14505
<![CDATA[Financial deepening is a benchmark for seeing the role of financial services in the economy, as measured by the ratio between the money supply (M2) and Gross Domestic Product (GDP). This study aims to determine and analyze the effect of inflation, interest rates, exchange rates, and real GDP on financial deepening in Indonesia in the long and short term. The type of research used is quantitative. Sources of data used in this study are secondary data sources obtained from Bank Indonesia (BI) and the Central Bureau of Statistics (BPS). Data analysis using the Error Correction Model (ECM) method. The results show that in the long run, inflation is negatively and insignificantly effect to financial deepening, interest rates are negatively and significantly effect to financial deepening, while the exchange rates and real GDP have a positive and significant effect to financial deepening in Indonesia. Meanwhile, in the short term, inflation is negatively and insignificantly effect to financial deepening, interest rates are negatively and insignificantly effect to financial deepening, exchange rates are positively and insignificantly effect to financial deepening, while real GDP has a positive and significant effect to financial deepening in Indonesia.]]>
<![CDATA[Does Trade Openness Cause Deforestation? A Case Study from Indonesia ]]>
<![CDATA[Andi Kustanto]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 19, No 2 (2021): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v19i2.15530
<![CDATA[Forests are unique resources and environments because, in general, they provide many benefits. Changing the function of forest areas to other functions is inseparable from economic development. As a developing country, Indonesia's economy is still dependent on natural resources to support its development. Economic integration through trade openness plays a vital role in economic growth. Policies that enhance the country's ability to trade will help the economy to develop. The more open the trade regime will make the country specialize in semi-finished input products, its competitive advantage. However, economic integration also creates negative externalities in the form of increased deforestation. This study explores the effect of trade openness on deforestation using a panel data method in 20 provinces in Indonesia from 2008-2018. Not many studies have focused on trade openness, large plantations, and social interactions as the driving forces behind deforestation in Indonesia. From the estimation results of the model, it is known that trade openness, economic growth, and activities of logging and forest conversion each contribute to changes in forest cover. If the commodity price rises, it will impact decreasing forest cover. Also, increasing population and density have decreased forest cover because land outside the forest area is limited.]]>
<![CDATA[The Efficiency Analysis of Government Expenditure on Education and Health in Sumatra: The DEA Approach ]]>
<![CDATA[Sanya Hibatulmedina]]>;
<![CDATA[Roosemarina Anggraini Rambe]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 19, No 2 (2021): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v19i2.15795
<![CDATA[The purposes of this study are to measure the level of the relative efficiency of educational spending and healthcare spending in achieving Mean Years of Schooling (MYS) and life expectancy at regency and city in Sumatera. Data Envelopment Analysis (DEA) were employed for a data set of the spending of 154 local governments in 2019 with an output-oriented model. The approach used is a variable return to scale. In measuring efficiency, two input were used are (i) Government spending of the educational function and (ii) Government spending of the healthcare function, while two output were used are (i) Mean Years of Schooling (MYS) and (ii) life expectancy. The results show that, of the 154 local governments, 6 across ten regency and city in Sumatra, were relatively efficient. There are Gunungsitoli, Bukit Tinggi, Padang Panjang, Solok, Banda Aceh and West Nias.]]>
<![CDATA[Factors Affecting Inter-Regional Human Development Index in Jambi Province ]]>
<![CDATA[Choirur Rohmah]]>;
<![CDATA[Suratno Suratno]]>;
<![CDATA[Kuswanto Kuswanto]]>;
<![CDATA[Ervan Johan Wicaksana]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 19, No 2 (2021): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v19i2.14416
<![CDATA[This study aims to analyze the factors that affect the human development index between regions of Jambi Province for the 2010-2020 period. The measured factors are health, education, and economy. Health factors are measured by life expectancy. The education factor has proxy the length of school expectation and average length of schooling. The economy can be measured by expenditure per capita. The type of data in this study is secondary data, namely data obtained and collected indirectly from the object under study. The objects of this research are 9 districts and 2 cities in Jambi Province for the period 2010-2020 from the official portal of the Central Statistics Agency (BPS) Jambi Province. Data analysis through panel data regression. The finding of this study shows that life expectancy, length of school expectation, and expenditure per capita has positive effect on HDI among regions in Jambi Province. The findings can be used as material for consideration to identify various obstacles/problems faced by a particular area that has a high or low human index. After that, the government can make policies to increase one or more human development index factors that show a decline.]]>
<![CDATA[Quantifying Vulnerability to Poverty in the Future in the Local Region ]]>
<![CDATA[Rio Triwahyu Saputra]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 19, No 2 (2021): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v19i2.13926
<![CDATA[Poverty has always become a problem in an economic system, started from its detection to its eradication. So as happened in South OKU Regency, even its poverty level was the third lowest in the Province, but the human resources and economic system was not good enough. This led to a tendency that people in South OKU Regency just lived “as enough”, they were living above the poverty line, but so close to it. In the long term, this situation will become a serious problem. The poverty calculation method used by BPS Statistics Indonesia has limitedness as it does not include the aspects of social-economic and cannot calculate someone’s possibility to get into or out of poverty. This research aims to calculate the possibility of someone to become poor in the future and establish the solution to prevent it happens in South OKU Regency. With the vulnerability of expected poverty (VEP) analysis, it was known that there are 19,77 percent or 71.182 populations in South OKU Regency that are vulnerable to poverty. Based on the Decision Tree model created, the variables of per capita expenditure, asset ownership, and the number of household members can be used to classify households in South OKU regency by their poverty status. By detecting vulnerable to poverty households and helping them to sustain their welfare, will prevents the increase of the number of the poor in the future.]]>
<![CDATA[What are the Leading Sectors Expected to Reduce Inequality in South Sumatra Province? ]]>
<![CDATA[Dian Apriyani]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 19, No 2 (2021): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v19i2.15221
<![CDATA[This study aims to find out the leading sectors and to analyze income inequality in South Sumatera Province, which the result is very important since no recent research has been done in this field for the study area. The data used in this study are secondary data from 2011-2020 which are sourced from the publications of the BPS-Statistic of South Sumatera Province. To find out inequality and investigate its causes, Klassen typological analysis, Williamson index, and Theil's entropy index are used. Meanwhile, to analyze the potential leading sectors, a combination of Location Quotient analysis, Shift Share Analysis, and sectoral typology is used. The results of this study suggest that local governments develop the agricultural sector because it is proven to have excellent potential as a leading sector. In addition, the trade, hotel, and restaurant sector is a special sector and good to be developed because eleven regencies/cities have high potency for this sector. The results of the study also show that the regencies/cities in South Sumatera Province are grouped in quadrant III of Klassen’s, which is a relatively underdeveloped area. Income inequality in South Sumatra Province is categorized high with a Williamson index of 0.71, with the cause of the inequality being the inequality between groups of regencies/cities producing oil and gas.]]>
<![CDATA[The Impact of Smoking on Poverty: Evidence from Indonesia ]]>
<![CDATA[Arowadi Lubis]]>;
<![CDATA[M. Reza Bukhori Ahmad]]>;
<![CDATA[M. Ghafur Wibowo]]>;
<![CDATA[Amalia Nur Zahra]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 19, No 2 (2021): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v19i2.16339
<![CDATA[This study investigates the impact of cigarette consumption on poverty incidents in Indonesia, control for Regional Gross Domestic Products, Consumption Credit, Human Development Index, and Unemployment. The data is obtained from the Bureau of Statistical Center (BPS) and the Financial Services Authority (OJK). The analysis is conducted by employing the Static Panel Data Model, namely Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Among the three, REM is the best model according to Chow and Hausman Test. The finding shows that cigarette consumption in Indonesia tends to worsen poverty, indicated by the positive and significant relationship between cigarette consumption and poverty in REM analysis. Moreover, RGDP also has a significant and positive effect on poverty. It means that RGDP is not able to reduce poverty in Indonesia. Hence, it can be concluded that the impact of cigarette consumption in increasing poverty outweighs the impact of cigarette production in decreasing poverty through RGDP.]]>
<![CDATA[Forecasting of Daily Gold Price using ARIMA-GARCH Hybrid Model ]]>
<![CDATA[Sigit Setyowibowo]]>;
<![CDATA[Mohamad As'ad]]>;
<![CDATA[Sujito Sujito]]>;
<![CDATA[Eni Farida]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 19, No 2 (2021): Jurnal Ekonomi Pembangunan ]]>
Publisher : <![CDATA[Department of Development Economics, Universitas Sriwijaya ]]>
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DOI: 10.29259/jep.v19i2.13903
<![CDATA[Gold is a multifunctional precious metal. Apart from being jewelry, gold is a form of investment. For this reason, the public or investors need to know the estimated daily gold price for transactions for the public or investors who want to invest or also want to sell their gold, so they do not lose. This is the aim of this study. Many forecasting methods can be used to predict the daily gold price, but this study uses the ARIMA-GARCH hybrid model because this model can predict econometric models such as the daily gold price which usually contains high volatility. Daily gold price data was secondary data obtained from the investing.com website. The data was for the period March 12, 2016, to December 31, 2020. The results of this study are obtained for the ARIMA (1,1,1) -GARCH (2,1) hybrid model with a root mean square error (RMSE) forecasting accuracy value is 2.375454, the mean absolute error (MAE) is 1.702908, and the mean absolute percentage error (MAPE) is 0.001168113. From the results of this study, long-term investment is very profitable because there is an upward trend from the model obtained. For short-term investments, the public or investors have to update the research result model because the current gold price is influenced by the gold price only one period ago, so that when trading does not lose.]]>
