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Diponegoro Journal of Economics
Published by Universitas Diponegoro
ISSN : 23373814     EISSN : 29631688     DOI : -
Core Subject : Economy,
Economics, Econometrics & Finance
Media publikasi karya ilmiah lulusan S1 Prodi Ilmu Ekonomi dan Studi Pembangunan Fakultas Ekonomika dan Bisnis Universitas Diponegoro yang berisi tentang kajian pembangunan dan kajian ekonomi beserta seluruh aplikasinya.
Arjuna Subject : -
Articles 298 Documents
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Analisis Tingkat Ketimpangan Pendapatan dan Pengembangan Sektor Unggulan di Provinsi Daerah Istimewa Yogyakarta Tahun 2008-2020 Elza Amriani; Fitrie Arianti
Diponegoro Journal of Economics Vol 11, No 4 (2022)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/djoe.35002

Abstract

The economic growth of DI Yogyakarta Province tends to increase from 2008 to 2020. Meanwhile, there are still many districts or cities that are still coming in below average of DI Yogyakarta Province’s economic growth. Differences in economic growth show income inequality. Income inequality between regions can lead to development problems and economic instability. This study aims to analyze the magnitude of income inequality between regions and classify the leading regions in DI Yogyakarta Province, as well as to prove the Kuznets Hypothesis. The analytical methods used are Williamson index analysis and Location Quotient (LQ). The results showed that there are still many areas in DI Yogyakarta Province that are classified as relatively underdeveloped areas (quadrant IV). The income disparity between regions in Central Java Province in 2008-2020 is high (>0.5).
Analisis Determinan Ketimpangan Wilayah di Provinsi Daerah Istimewa Yogyakarta (DIY) Tahun 2013-2020 Nizar Fahmi; Nugroho Sumarjiyanto Benedictus Maria
Diponegoro Journal of Economics Vol 12, No 2 (2023)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/djoe.37965

Abstract

This study aims to analyze the classification of economic development, development inequality, and the effects of economic growth, the open unemployment rate, and the Human Development Index (HDI) on development inequality in the DIY Province from 2013 to 2019. The approach used in this research is quantitative, utilizing secondary data obtained from Badan Pusat Statistik for the years 2013 to 2019. The method employed to analyze the classification of economic growth is Klassen typology. The Williamson Index is used to analyze development inequality, while panel data regression is applied to examine the factors influencing development inequality. Based on the results of the research on the classification of economic development, it is evident that areas with advanced and fast development are Yogyakarta and Sleman, while fast-developing areas include Kulonprogo, and relatively underdeveloped areas are Gunungkidul and Bantul. The results of the Williamson Index indicate that the largest development inequality exists in the Kulonprogo, Bantul, and Gunungkidul areas, suggesting that there is inequality in community access to development outcomes. Furthermore, the results of the panel data regression show that the economic growth variable has an insignificant negative effect on development inequality, the unemployment variable has a significant positive effect on development inequality, and the HDI variable has a significant negative effect on development inequality in DIY Province. To reduce development inequality in DIY Province, it is necessary to increase employment opportunities based on regional potential and improve human resources to achieve inclusive economic growth.
Pengaruh Jumlah Penduduk, Pengangguran, dan Indeks Pembangunan Manusia terhadap Pertumbuhan Ekonomi Menurut Kabupaten/Kota di Provinsi Jawa Timur Tahun 2018-2021 Dina Dwi Wulandari; Mulyo Hendarto Robertus
Diponegoro Journal of Economics Vol 12, No 4 (2023)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/djoe.40806

Abstract

Economic growth is an indicator to measure the economic success of a region. For economic growth in East Java Province to increase, it is important to analyze the factors that influence economic growth. This study aims to analyze the effect of population, unemployment, and the Human Development Index (HDI) on economic growth in East Java Province in 2018-2021. The data used is secondary data obtained from the Badan Pusat Statistik (BPS) of East Java province. The method used in this study is multiple linear regression analysis in the form of panel data. The time series data used is 2018-2021. The cross-section data used are 38 regencies/cities in East Java Province. This study used the FEM (Fixed Effect Model) which was selected based on the Chow test and Hausman test. The results of this study indicate that population size does not affect economic growth. Unemployment has a negative and significant effect on economic growth. The Human Development Index (HDI) has a positive and significant effect on economic growth.
Analisis Environmental Kuznets Curve pada PDRB Sektoral terhadap Emisi Gas Rumah Kaca di Provinsi Jawa Timur Tahun 1990-2022 Naafia Fatiha Nur Insani; Mulyo Hendarto Robertus
Diponegoro Journal of Economics Vol 13, No 3 (2024)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/djoe.45139

Abstract

East Java has the highest GDP value in the tertiary sector. According to the Environmental Kuznets Curve (EKC), economic growth in the tertiary sector should lead to improvements in environmental quality. However, the high value of greenhouse gas emissions indicates a decline in environmental quality. This research aims to analyze the EKC for the primary sector GDP, secondary sector GDP, and tertiary sector GDP in relation to greenhouse gas emissions. The time series data from 1990 to 2022 were sourced from the Badan Pusat Statistik and the Ministry of Environment and Forestry. The Ordinary Least Square (OLS) method was used. The results showed that the primary sector GDP and tertiary sector GDP had a positive and significant effect on greenhouse gas emissions. The secondary sector GDP had a negative and significant effect on greenhouse gas emissions. Overall, the effect was significant. The primary sector GDP and secondary sector GDP aligned with the EKC, while the tertiary sector GDP contradicted it. The inverted U-shape of the EKC did not occur. Despite the high contribution of the tertiary sector, there was a decline in environmental quality. Policy recommendations include maintaining environmental quality, particularly in relation to greenhouse gas emissions, in both the primary and tertiary sectors.
Analisis Pengaruh Pembayaran Non Tunai Terhadap Nilai Tukar Rupiah dengan Jumlah Uang Beredar sebagai Variable Intervening Lusiana Anggraeni; Nugroho Sumarjiyanto Benedictus Maria
Diponegoro Journal of Economics Vol 12, No 1 (2023)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/djoe.36932

Abstract

This study aims to determine the impact of non-cash payments on the Rupiah exchange rate through the amount of money circulating in a narrow sense. This research is quantitative, utilizing secondary data as its source. The analytical method used in this study is path analysis, with the dependent variable being the Rupiah exchange rate. The independent variables are the volume of debit card transactions and the volume of electronic money, while the intervening variable is the amount of money circulating in a narrow sense. The period analyzed is from 2017 to 2020. The results show that both the volume of debit card transactions and the volume of electronic money have a significant effect on the Rupiah exchange rate. This study finds in the second model that the volume of debit card transactions, the volume of electronic money, and the Rupiah exchange rate significantly affect the amount of money circulating in a narrow sense.
Analisis Keberlakuan Efek Kurva J pada Hubungan Bilateral Indonesia-ASEAN 5: 2010.1-2021.4 Muntaz Ndaru Apsari; Fransiscus Xaverius Sugiyanto
Diponegoro Journal of Economics Vol 12, No 3 (2023)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/djoe.39710

Abstract

This study was conducted to examine the J-curve effect in the bilateral relationship between Indonesia and the ASEAN-5 countries, as well as to understand how the AFTA and MEA programs related to economic openness influence the formation of the J-curve in this bilateral relationship. The variables used in this research are bilateral net exports between Indonesia and the ASEAN-5, bilateral real exchange rates, and the degree of bilateral economic openness between Indonesia and the ASEAN-5. Based on the results of the regression analysis, it indicates that the bilateral relationship between Indonesia and the ASEAN-5 during the period from Q1 2010 to Q4 2021 does not confirm the existence of the J-curve effect, and the degree of economic openness significantly influences bilateral net exports in the Indonesia-Thailand and Indonesia-Malaysia relationships. The elasticity of the real exchange rate and the degree of economic openness with respect to net exports is related to the existence and formation of the J-curve.
Analisis Ketimpangan Distribusi Pendapatan di Indonesia Tahun 2015-2019 Muhammad Daffa Rifaldo; Tri Wahyu Rejekiningsih
Diponegoro Journal of Economics Vol 13, No 2 (2024)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/djoe.43258

Abstract

This study aims to analyze the factors influencing why the Gini ratio, or income distribution inequality in Indonesia. The study employs a descriptive quantitative method, with parameter estimates obtained through panel data regression. The model is tested using the fixed effect model. The results show that the investment variables, represented by Domestic Investment (PMDN) and Regional Original Revenue (PAD), contribute to increasing income distribution inequality. The labor variable does not affect income inequality, while the individual internet usage (IPI) variable significantly reduces income inequality. The Human Development Index (HDI) variable does not affect income inequality, and the per capita GRDP, used as a dummy variable, also has no significant effect on income distribution inequality. The originality of this research lies in its use of technology variables, represented by Individual Internet Usage (IPI), and its background based on the National Medium-Term Development Plan (RPJMN) 2015-2019.
Research and Development, Inovasi, dan Pertumbuhan Ekonomi: Studi pada Negara Asia Terpilih Nurul Inayah; Fransiscus Xaverius Sugiyanto
Diponegoro Journal of Economics Vol 12, No 1 (2023)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/djoe.35948

Abstract

In the modern economy, innovation is the main source of increasing productivity, economic growth, and social welfare. Furthermore, innovation is regarded as one of the drivers of economic growth besides the traditional production factors, such as capital and labor accumulation. Research and Development (R&D) funding is one of the strategies for fostering innovation. This study aims to analyze the effects of R&D and innovation on economic growth in 6 Selected Asian Countries during the period 2009-2017. This study used Gross Domestic Product (GDP) per capita as the dependent variable which describes economic growth. Meanwhile, R&D expenditures, patents, labor force participation rate, gross net enrollment in tertiary education, and foreign direct investment are independent variables. In addition, this study was descriptive quantitative research using panel data analysis. The result of this study shows that R&D expenditures, patent, and labor force participation have a positive and significant effect on economic growth in the 6 selected Asian countries. Thus, these results show that there is a significant effect of the innovation variable on economic growth in the 6 selected Asian countries.
Analisis Peran Swasta dan Pemerintah terhadap Kesempatan Kerja di Jawa Tengah Tahun 2019-2022 Suci Ningtyas Handayani; Umayatu Suiroh Suharto
Diponegoro Journal of Economics Vol 13, No 1 (2024)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/djoe.42688

Abstract

This research was carried out to analyze the influence of Manufacture, Wage, and Government Expenditure on Employment in Central Java province in 2019 – 2023.  The analysis method in this research uses the Panel Data Method. Based on the result of the analysis it was concluded that the best analysis model was the Random Effect Model (REM). The results of the partial analysis are that manufacturing and government expenditure do not influence employment. Meanwhile, there is an influence of wages on employment.
Pengaruh PDRB, IPM dan Kapasitas Fiskal terhadap Tingkat Kemiskinan di Indonesia: Studi Kasus 34 Provinsi di Indonesia Tahun 2015-2019 Difa Faadila Kusuma; Deden Dinar Iskandar
Diponegoro Journal of Economics Vol 11, No 4 (2022)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/djoe.35116

Abstract

Poverty is a problem that occurs across the world, even in developed countries, especially in Indonesia. The increase in the poverty rate from year to year is a problem that must be faced by the community and the government. This study aims to analyze whether the independent variables consisting of GRDP, Fiscal Capacity, and HDI have an influence on the poverty rate in 34 provinces in Indonesia in 2015-2019. The data used in this study is panel data with time series data for the 2015-2019 period and a cross-section of 34 provinces in Indonesia. The analytical tool used is panel data regression analysis using the Eviews10 program. From the stages of analysis carried out, the results of data analysis showed that the results of the panel data estimation selected the best model, namely the Random Effect Model (REM). The results showed that the GRDP variable had a positive and significant effect on poverty, while the variables of Fiscal Capacity, and HDI have a negative and significant effect on the poverty level.

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