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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

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

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.

Pengaruh Penanaman Modal Asing, Penanaman Modal Dalam Negeri, Dana Perimbangan, dan Aglomerasi terhadap Ketimpangan Pembangunan antar Wilayah di Provinsi Banten Tahun 2011-2020 Galuh Gita Lestari; Mulyo Hendarto Robertus
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.37984

Regional disparity is a common phenomenon in the process of regional economic development in developing countries. In order to reduce regional disparity, it is necessary to study the factors that influence regional disparity. This research aims to analyze the effect of Foreign Direct Investment (PMA), Domestic Direct Investment (PMDN), Balancing Funds, and Agglomeration on Regional Development Disparity in Banten Province in the 2011-2020 period. This study uses panel data regression analysis with the Random Effect Model (REM) approach. The regression results with the Random Effect Model (REM) approach with the Generalized Least Square (GLS) method show that in 2011-2020, partially the variables of foreign direct investment, domestic direct investment, and agglomeration have no a significant effect, and only the balancing fund variable has a significant effect on regional development disparity in a negative direction.

Pengaruh Aglomerasi, Jumlah Penduduk, Dana Perimbangan, dan Belanja Pemerintah terhadap Ketimpangan antar Wilayah di Provinsi Sumatera Selatan Tahun 2018-2022 Tessa Jessy Anggriani Nababan; Mulyo Hendarto Robertus
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.43411

This research aims to analyze the effects of agglomeration, population size, equalization funds, and government spending on regional disparities in South Sumatra Province from 2018 to 2022. This study employs panel data regression analysis using the Random Effect Model (REM) approach to examine the effect of Agglomeration, Population Size, Equalization Funds, and Government Spending on Regional Disparities in South Sumatra Province from 2018 to 2022. The regression results using the Random Effect Model (REM) with the Generalized Least Squares (GLS) method indicate that, partially, the agglomeration variable has a positive and significant effect on regional disparities in South Sumatra Province. Meanwhile, the population size variable has a negative and significant effect on regional disparities in South Sumatra Province, while equalization funds and government spending do not have a significant impact on regional disparities.

Pengaruh Jumlah Penduduk, Pengangguran, dan Kemiskinan terhadap Pertumbuhan Ekonomi di Provinsi Jawa Tengah Tahun 2010-2020 Faisal Amanullah; Mulyo Hendarto Robertus
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.36449

Economic growth is the process of increasing the production capacity of an economy which is realized in the form of regions. An area is said to experience economic growth if there is an increase in GRDP (Gross Regional Domestic Product) in the area. The economic problem in Central Java Province is the problem of the number of people still living in poverty and becoming unemployed. The high level of poverty and the high rate of unemployment if not addressed immediately will lead to poor people and unemployment which continues to grow every year. This study aims to analyze the effect of population, unemployment, and poverty on economic growth in Central Java Province in 2010-2020. The method used is multiple linear regression to determine the effect of population, unemployment, and poverty on economic growth in Central Java Province. The independent variables used in this study consisted of population, unemployment and poverty, the dependent variable used in this study was economic growth. The results of this study note that the population variable has a partial and significant positive effect on economic growth. Unemployment and poverty variables have a partial and significant negative effect on economic growth.

Analisis Pengaruh Pertumbuhan Ekonomi, Aglomerasi Industri, PMDN, Belanja Pemerintah, dan IPM Terhadap Ketimpangan Wilayah di Kawasan KEDUNGSEPUR Tahun 2011-2020 Ade Tiara Sukmawati; Mulyo Hendarto Robertus
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.39352

Inequality is a common problem that occurs along with the economic development process of a region. The difference in endowment factors in each region is the cause of the widening level of inequality. This study aims to analyse the effect of economic growth, industrial agglomeration, domestic investment (PMDN), government spending, and Human Development Index (HDI) on regional inequality in the KEDUNGSEPUR Region in 2011-2020. The level of regional inequality is calculated using Theil's Entropy Index. This study uses the Generalised Least Square (GLS) regression analysis method with a fixed effect model. The data used is panel data which includes cross section of 6 regencies/cities in the KEDUNGSEPUR region and time series from 2011-2020. The results show that the variables of economic growth, industrial agglomeration, and government spending partially have a negative and significant effect on regional inequality in the KEDUNGSEPUR Region. The Human Development Index (HDI) partially has a positive and significant effect on regional inequality, while domestic investment (PMDN) partially has an insignificant effect on regional inequality.

Pengaruh Pertumbuhan Ekonomi, Pengangguran, Investasi, dan Dana Alokasi Umum (DAU) terhadap Ketimpangan WIilayah di Provinsi Banten Tahun 2005-2021 Fachri Hafidy Syahputra Sinik; 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.41863

Regional inequality in Banten Province is the highest among all provinces located on Java Island. Since 2005-2021, it has experienced an increasing trend and is still classified as high. This study aims to analyze the effect of economic growth, unemployment, investment, and general allocation funds on regional inequality in Banten Province in 2005-2021. This research uses a quantitative approach with data sourced from the Badan Pusat Statistik of Banten Province. The method used is multiple linear regression with time series data. The research results show that economic growth has a negative effect on regional inequality. Unemployment has a positive effect on regional inequality. Investment has a negative effect on regional inequality. The general allocation fund has no effect on regional inequality. Suggestions that are expected to reduce regional inequality in Banten Province are creating sustainable economic growth, reducing the unemployment rate, and increasing investment.

Pengaruh Konsumsi Listrik, Pertumbuhan Ekonomi, Industrialisasi, dan Keterbukaan Perdagangan terhadap Emisi CO2 di Indonesia tahun 1983-2019 Atik Rahmawati; Mulyo Hendarto Robertus
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.39536

Many developing countries including Indonesia are still largely dependent on fossil fuel power plants, even though the negative impact results in an increase in carbon emissions. In this study, the driving factors for emissions are seen from electricity consumption, GDP, industry value added and the ratio total exports of GDP. This study aims to look at the relationship between electricity consumption, economic growth, industrialization, and trade openness on CO2 carbon emissions in Indonesia in 1983-2019. This study uses secondary data in the form of time series data. Analysis in this study uses the Error Correction Model-Engle Granger (ECM-EG) method for short-term estimation and the Cointegration Test for long-term estimation. The results showed that in the long run electricity consumption and industrialization had a significant positive effect on CO2 carbon emissions. In the short term, only economic growth has a positive effect on carbon emissions.

Pengaruh Urbanisasi, Modal Manusia, dan Pengangguran terhadap Kemiskinan Perkotaan di Enam Kota Provinsi Jawa Tengah Tahun 2015-2021 Jihan Sabilillah; 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.45373

Urban poverty in six cities in Central Java Province is an interesting issue to analyze in relation to the factors that influence it. This study analyzes the issue of urban poverty because regional economic development is partly determined by how cities can grow. The objective of this research is to analyze the effect of urbanization, human capital, and unemployment on urban poverty in six cities in Central Java Province from 2015 to 2021. This study uses quantitative data sourced from publications by the Badan Pusat Statistik of Central Java Province. The method used is multiple linear regression with panel data, where the dependent variable is the percentage of the poor population, while the independent variables include urbanization (in-migration), human capital (HDI), and unemployment in the cities of Magelang, Surakarta, Tegal, Semarang, Pekalongan, and Salatiga from 2015 to 2021. The results of the study show that urbanization has a positive and significant effect on poverty, human capital has a negative and significant effect on poverty, and unemployment has a positive and significant effect on poverty.

Keterkaitan Spasial Kabupaten/Kota Berdasarkan Sektor Unggulan di Provinsi Jawa Barat Tahun 2017-2021 Nisa Nurokhati; Mulyo Hendarto Robertus
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.39537

This study aims to analyze the spatial linkages between districts/cities based on leading sectors in West Java Province. This study uses the Location Quotient (LQ) analysis method and Spatial Autocorrelation analysis using the Global Moran analysis tool and the Local Indicator of Spatial Autocorrelation (LISA). This study uses secondary data in the form of Gross Regional Domestic Product (GDP) data based on constant prices according to the district/city business field of West Java Province for 2017-2021 sourced from the Badan Pusat Statistik of West Java Province. The results of calculating the LQ index which forms the basis of Global Moran and LISA analysis show that there are three highest leading sectors in West Java, namely the construction sector; government administration sector, defense, and mandatory social security; as well as the education services sector. Based on the results of Global Moran's analysis of the 3 leading sectors, only the government administration, defense, and compulsory social security sectors and the education services sector have significant spatial linkages in West Java. However, the area disturbance is classified as weak because the Moran index value is away from the value (+1). The results of the Local Indicator of Spatial Autocorrelation (LISA) analysis show cluster patterns and High-High (Hot-Spot) interplay in the defense administration, defense, and mandatory social security sectors in Ciamis Regency and the education services sector in Ciamis Regency, Majalengka Regency, and Kuningan Regency. The limitation of this research is that Global Moran and LISA analyses only use a significance test of α = 5% so the interpretation of inter-regency/city linkages is still lacking in detail.

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