Efficient: Indonesian Journal of Development Economics
Efficient Journal is a scientific journal published by Department of Economics Development, Faculty of Economics, Universitas Negeri Semarang Indonesia. this journal published three times per year on January, June, and October and start publishing since 2018. Efficient Journal is a journal base on the economics and development studies. This journal publishes a research paper related to specific themes such as macro economics, small and medium enterprises, public policy, monetary economics, development studies, international economics, trade economics, agriculture economics, tourism, regional and finance economy, and related studies within economics and development. The scope of the reseach is local, regional and international perspective. Efficient journal accepting a research who conduct in a local locus research (case study), national locus research, regional locus research and international locus research, the purpose of this journal is making a global research. This journal welcoming a foreign research who want to publish their articles.
Articles
290 Documents
<![CDATA[The Effect of Economic Growth, Population, Minimum Wage, and HDI on Poverty ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 6 No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v6i1.55225
<![CDATA[The purpose of this study was to analyze the effect of economic growth, population, minimum wage, and human development index on poverty rates in Central Java Province. This study uses quantitative methods with panel data, which is a combination of cross-section data from 35 districts/cities in the Central Java Province and time series data for the period 2015-2019. Tests in did study with the Fixed Effect Regression analysis method with the Generalized Least Square (GLS). The results showed that the variable of economic growth and human development index had a negative and significant effect, the population variable had a positive and significant effect, and while poverty rate variable had a positive and not significant effect. Suggestions from the results of this study are: (1) The Local Government should try to push the equal whole infrastructure. (2) KB (Family Plan) Program should be focused in every area of villages. (3) Every regency needs to set the value of minimum paid based on worth life’s standard. (4) Increase the level of education in every village by repairing and adding more devices that support making education better.]]>
<![CDATA[Industrial Agglomeration and Economic Growth in Indonesia ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 6 No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v6i1.55232
<![CDATA[This study aims to analyze the level of industrial agglomeration using balassa index and spatial analysis. In addition, this study also analyzes the effect of industrial agglomeration, investment, infrastructure, and inequality on economic growth. The data used in this study are secondary data. This study uses panel data regression with a fixed effect model approach, consisting of 34 provinces in Indonesia for the period 2015-2020. The results of this study indicate that industrial agglomeration occurs in 7 provinces in Indonesia (Kepulauan Riau, West Java, Central Java, DI Yogyakarta, East Java, Banten, and Bali) with an average balassa index value of 1.34 and included in low levels. Industrial agglomeration tends to occur on Java Island. The results of the regression analysis in this study indicate that industrial agglomeration, investment, and infrastructure have a positive effect on economic growth in Indonesia, while inequality has a negative effect on economic growth in Indonesia.]]>
<![CDATA[The Impact of the Covid-19 Pandemic on Tourist Visits in Central Java ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 6 No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v6i1.55687
<![CDATA[In March 2020, the Covid-19 virus spread in Central Java and hit tourism in Central Java, where Central Java is the province with the most tourist attractions on the island of Java. This study aims to determine the impact of tourist visits, both foreign tourists and domestic tourists in Central Java during the Covid-19 pandemic and to see the policies issued by the Government that aims to protect Central Java tourism. The research method used in this study is descriptive quantitative where the independent variable is Covid-19 and the dependent variable is the number of visits by foreign tourists and domestic tourists. The results of this study indicate that the Covid-19 pandemic has a negative effect on foreign tourist visits and domestic tourist visits to Central Java. The number of foreign tourist visits during the pandemic, namely in 2020, the average number of foreign tourist arrivals decreased by 88.68 percent, while the number of domestic tourist visits in 2020 decreased by 60.91 percent.]]>
<![CDATA[The Analysis of Factors Affecting Original Local Government Revenue in Eastern Indonesia ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 6 No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v6i1.55864
<![CDATA[The purpose of this study is to determine the effect of capital expenditure, investment, and Gross Regional Domestic Product (GRDP) of the primary sector, GRDP of secondary sector, and GRDP of tertiary sector on original local government revenue in Eastern Indonesia. This researchs is a quantitative research using secondary data. The research model is estimated using the Weighted Least Square (WLS) method to overcome the classical assumption problems that occur in the model. The results obtained from this study are: (1) Capital expenditure has an effect on original local government revenue, (2) Investment has no effect on original local government revenue, (3) GRDP of primary sector has an effect on original local government revenue, (4) GRDP of secondary sector has an effect on original local government revenue, (5) GRDP of tertiary sector has an effect on original local government revenue.]]>
<![CDATA[The Effect of Tourism Development on Labor Absorption in Central Java ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 6 No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v6i1.57326
<![CDATA[Tourism is one of the leading sectors in Indonesia, so the government develops this sector in a sustainable. Tourism development has a positive impact such as labor absorption. This study aims to determine the effect of the number of tourist attractions, tourists, hotels, and restaurants on employment and to see the differences touriin sm indicators in DPP Borobudur-Dieng and Semarang-Karimunjawa. The data processing method uses panel data regression analysis and different tests with panel data types during 2017 – 2020 period and analysis tools using Eviews-9 and SPSS. The results show that the variable number of tourist attractions, hotels, and restaurants has a positive and significant effect on labor absorption and the number of tourists has a positive and insignificant effect on labor absorption. Based on the results of the Differential t-test, shows that there is no significant difference in the variable number of tourist attractions, tourists, hotels, and restaurants, but the variable number of workers shows a significant difference in DPP Borobudur-Dieng and Semarang-Karimunjawa. This study suggests that the government should develop tourism by promoting tourism, improving service quality, and increasing the capacity of the tourism workforce and for the community to maintain and preserve tourism infrastructure.]]>
<![CDATA[Analysis of Spatial Autocorrelation and Causality GRDP and Income Inequality in Java ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 6 No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v6i1.57599
<![CDATA[Research on the relationship between GRDP and income inequality shows that there is a spatial autocorrelation, however, empirical data shows that there is still income inequality that differs between regions, so it is necessary to re-examine the relationship. The island of Java is the main pillar of Indonesia's economic cycle, but the income inequality between the provinces is still high. This study aims to identify the magnitude of income inequality in Java. Identify the autocorrelation of GRDP and income inequality spatially, and in clusters and identify the causal relationship between GRDP and income inequality in Java. The analysis method uses the Williamson Index, Moran Index, Local Indicator of Spatial Autocorrelation (LISA) using the LISA Clustermap, and Granger Quality. This study is on the level of income inequality in each province in Java based on the Williamson Index value in the category of high inequality, having a negative autocorrelation value (the pattern tends to spread) and there is no spatial autocorrelation. Autocorrelation based on LISA Clustermap there is a pattern of cluster linkages (clustering and influencing each other) which has a High-Spot value so that there are areas that can be used as areas of cooperation for development.]]>
<![CDATA[The Effect of Economic Variables on CO2 Emissions in 7 Asian Countries ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 6 No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v6i1.57683
<![CDATA[This study aims to determine and analyze the direct and indirect effects of economic variables on carbon dioxide (CO2) emissions in 7 Asian countries during the 2010-2019 period. This research uses a descriptive quantitative approach and path analysis model. The results show that employment in the industry directly has an influence on CO2 emissions, the population has an influence on CO2 emissions, energy consumption has an influence on CO2 emissions, and FDI has an influence on CO2 emissions. Whilindirectly employment in the industry has no effect on CO2 emissions through economic growth, the population has no influence on CO2 emissions through economic growth, energy consumption has no effect on CO2 emissions through economic growth, and FDI has an influence on CO2 emissions through economic growth.]]>
<![CDATA[Government Expenditure Efficiency on Human Development in The Underdeveloped Regions ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 6 No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v6i1.57841
<![CDATA[This study aims to analyze the efficiency of government expenditure on human development and the effect of real GDRP per capita, population density, and per capita fiscal transfers on the efficiency of government expenditure on human development in underdeveloped regions during 2017-2019. The method used in this study is Data Envelopment Analysis (DEA) with input oriented to analyze the efficiency of government expenditure and panel data regression to analyze the determinants of efficiency. The data used in this study are 122 districts which are categorized as underdeveloped regions with a study period of 2017-2019. The results of this study indicate that there are only 10 districts that are always efficient during the study period, and there are 7 districts that are only efficient in certain years. The underdeveloped districts in the western part of Indonesia are more efficient than the eastern part of Indonesia. The results of this study also show that real GDRP per capita and per capita fiscal transfers have a negative effect on efficiency, while population density has a negative effect on efficiency.]]>
<![CDATA[Earmarking Tax Analysis on Vehicle Tax Revenues on Road Conditions in Indonesia 2011-2020 ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 6 No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v6i1.58481
<![CDATA[Motor Vehicle Tax is allocated a minimum of 10% for road construction and maintenance in accordance with Law no. 28 of 2009 article 8 paragraph (5). However, data on the length of roads according to conditions at BPS shows that the number of lengths of roads with damaged conditions continues to increase every year. The research object used is all provinces in Indonesia in 2011-2020 except North Kalimantan. This research was conducted to see how the effect of motor vehicle tax revenues which are included in the earmarking tax category in its realization on public services. The method used is panel data regression analysis by choosing the best model between CEM, FEM, or REM. The data used is secondary data in the form of district road length data per province as the dependent variable obtained from the Central Statistics Agency. The independent variables are Motor Vehicle Tax data, Earmarking Tax, and the number of motorized vehicles. The results showed that the number of motorized vehicles had no effect on the condition of the length of the road. Earmarking tax has a positive effect on road length conditions. Motor vehicle tax has a negative effect on road length conditions.]]>
<![CDATA[The Impact of Social Forestry Utilization Permit (IPHPS) Towards the Community Income ]]>
<![CDATA[ Efficient: Indonesian Journal of Development Economics Vol 6 No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/efficient.v6i1.65706
<![CDATA[This study aims to determine and analyze the impact of the implementation of the Social Forestry Utilization Permit (IPHPS) on income. The research took location in Perhutani KPH Telawa, Central Java. This study was a descriptive qualitative and quantitative research. The types of data used were primary and secondary data. The method used first was to conduct interviews with respondents. After that, the authors applied statistical descriptive analysis and Multiple Linear Regression. The results point out that the IPHPS has increased the production and income of the Forest Farmer Group. Multiple linear regression analysis proves that the length of the IPHPS received, land area, number of workers, type of partnership, and input costs have a positive effect on income. The types of partnerships that have been executed are in the form of counseling, training, buying products, providing capital assistance, and mentoring. Obstacles faced by Forest Farmer Group receiving the Social Forestry Utilization Permit (IPHPS) are limited access to raw materials, access to capital, market access, and traditional equipment.]]>
