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1
Sari, Ratna Mustika, Albertus Deliar, and Andri Hernandi. "Analysis of The Influence of Changing Land Area on The Value of Gross Regional Domestic Product (GRDP) (Case Study: Lampung Province)." Journal of Applied Geospatial Information 7, no. 1 (May 11, 2023): 806–12. http://dx.doi.org/10.30871/jagi.v7i1.4924.
Анотація:
Residents' activities will always use the land as a place to carry out activities which will affect the GRDP value. This study uses data on the GRDP values of Lampung Province in 2014–2021 obtained from BPS Lampung Province and uses land cover area data obtained from the classification results of Landsat 8 imagery for 2014–2021. The data analysis technique used in this study is correlation analysis and linear regression using panel data. The results of the correlation analysis found that the value of GRDP in total, GRDP in the agriculture, forestry, and fisheries sectors, GRDP in the processing industry sector, and GRDP in the construction sector all correlated with built-up land cover, for GRDP in the agriculture, forestry, and fisheries sectors, in addition to correlation with built-up land cover as well correlated with paddy field cover, and pond land. GRDP values that correlated with the land cover area were carried out by a linear regression analysis of panel data. The results of panel data linear regression calculations show that changes in the area of built-up land cover in Lampung Province do not affect the total value of GRDP, but the built-up land cover has a negative effect on GRDP in the agriculture, forestry, and fisheries sectors and a positive effect on GRDP in the processing industry sector and GRDP in the construction sector. The area covered by paddy fields and ponds has a positive effect on GRDP in the agriculture, forestry, and fisheries sectors.
Keywords: Land Cover, GRDP, Panel Data Linear Regression, Correlation
2
Perangin Angin, Rosti Br, Rujiman ., and Rahmanta . "Analysis of the Potential of Natural Resources and Human Resources to the Regional Income of Karo Regency." International Journal of Research and Review 10, no. 4 (April 21, 2023): 273–91. http://dx.doi.org/10.52403/ijrr.20230434.
Анотація:
Regional Revenue is the right of the regional government which is recognized as an addition to net worth. GRDP per capita is the GRDP of an area divided by the number of people living in that area. The potential of natural resources and human resources has an effect on regional income and then has an effect on per capita income. In this study the authors examined how the influence of natural resources and human resources on the regional income of Karo Regency, and raised the title: "Analysis of the Potential of Natural Resources and Human Resources on PDRB Per Capita of Karo Regency.The data in this study is secondary data sourced from BPS Karo Regency and BPS North Sumatra. To determine the effect of potential natural resources on GRDP per capita, the GRDP data for agriculture, forestry and fisheries are taken. To find out the effect of potential human resources on GRDP per capita, health GRDP data is taken. The data is processed through multiple linear regression data processing, processed using Eviews.Based on the results of the study, it was found that the GRDP of agriculture, forestry and fisheries) has a positive effect on GRDP per capita, GRDP for Health has a negative effect on GRDP per capita. Keywords: Regional Income, Per Capita GRDP, Business Field GRDP, Natural Resources, Human Resources.
3
Haryanto, Joko Tri, and Rita Helbra Tenrini. "Study of fiscal decentralization, macroeconomic stability and regional growth in Indonesia." Jurnal Perspektif Pembiayaan dan Pembangunan Daerah 9, no. 3 (August 31, 2021): 209–20. http://dx.doi.org/10.22437/ppd.v9i3.12157.
Анотація:
Indonesia has been implementing fiscal decentralization since 2001. In theory, fiscal decentralization affected macroeconomic stability and economic growth—this study using data panels at the provincial level from 2010 to 2013. In the relationship between fiscal decentralization and macroeconomic stability with control variable income, significant variables are income to GRDP, GRDP per capita, and population. If control variable expenditure, significant variables are expenditure to GRDP, GRDP per capita, and population. In the model that analyzes fiscal decentralization and economic growth with control variable income, significant variables are income to GRDP, consumption to GRDP, and population. Meanwhile, if control variable expenditure, significant variables are expenditure to GRDP, consumption to GRDP, and population. By using sensitivity analysis, the population variable is a high priority. Therefore stakeholders should treat population variables carefully.
4
Andiojaya, Agung, R. R. Nefriana, Riana Rizka, and Titi Kanti Lestari. "GRDP forecasting through night-time light data: Evidence from Indonesia." Jurnal Inovasi Ekonomi 8, no. 01 (December 26, 2022): 1–10. http://dx.doi.org/10.22219/jiko.v8i01.20239.
Анотація:
Gross Regional Domestic Product (GRDP) is a widely used macroeconomic indicator to measure socioeconomic development. A comprehensive GRDP calculation requires complete data available from the national level down to minor administrative areas. However, institutions that carry out GRDP calculations often face challenges in obtaining complex data at smaller administrative levels. This paper explores the use of nighttime light (NTL) data as an alternative data source to estimate GRDP and its changes. The results of the panel data regression with random effects show that NTL data is statistically significant in describing GRDP in various Indonesian provinces. However, during the pandemic, NTL was not substantial in describing GRDP and showed movements that were not in line with GRDP.
5
ICMI, SAVERA, and MUHAMMAD ANSHAR NUR. "PDRB HIJAU SEKTOR KEHUTANAN HUTAN ALAM KABUPATEN TABALONG DI PROVINSI KALIMANTAN SELATAN." JIEP: Jurnal Ilmu Ekonomi dan Pembangunan 2, no. 4 (December 23, 2019): 903. http://dx.doi.org/10.20527/jiep.v2i4.1226.
Анотація:
This study examines the influence of (1) to identify the value of depletion, forest degradation and depreciation Tabalong Regency in South Kalimantan Province (2) can see the value of Forestry Sector Green GRDP Tabalong Regency in South Kalimantan Province. Data is processed using the Green GRDP calculation method. The result of this study prove that the value of the Forestry Sector Green GRDP is smaller than Conventional GRDP. This Green GDRP shows the implementation that Tabalong Regency actually suffered losses due to the exploitation of the forest. The result of the Forestry Sector Green GRDP calculation on 2015 amount to Rp -24,413 milion, in 2016 amount to Rp. -10.816 milion and 2017 amount to Rp28,665 million. Keywords : Depletion, Degredation, Deprication, Conventional GRDP, Forestry Sector Green GRDP.
6
Risnasari, Risnasari, Abd Jamal, and Sofyan Syahnur. "Analysis of Economic Growth Core and Periphery: Evidence from Aceh Province, Indonesia." International Journal of Quantitative Research and Modeling 3, no. 2 (June 2, 2022): 66–71. http://dx.doi.org/10.46336/ijqrm.v3i2.277.
Анотація:
This research is to determine factors that influenced Gross Regional Development Product (GRDP) Banda Aceh and Lhokseumawe city in context relationship between core and periphery using panel data regression of 23 districts/cities in Aceh Province, Indonesia year 2010-2020. Selected independent variables in this paper are GRDP core and periphery, population, distance between core and periphery, availability of hospital, availability of university and availability of industry. Based on estimation results, all independent variabels have significant effect toward GRDP Banda Aceh and Lhokseumawe city. Variabels that found have positive effect toward GRDP Banda Aceh city are GRDP core and periphery, and distance between core and periphery. Variabels that found have negative effect toward GRDP core Banda Aceh city are population, availability of hospital, availability of university and availability of industry. Then, variabels that found have positive effect toward GRDP Lhokseumawe city are GRDP core and periphery, distance between core and periphery, and availability of university. Variabels that found have negative effect toward GRDP core Lhokseumawe city are population, availability of hospital, and availability of industry. It is hoped that this findings will provide useful information for policymakers in attempt to enhance the competitiveness of regional economy.
7
Tunut, Susyanto, and Ratih Eka Sakti. "Dampak Pandemi Covid-19 Terhadap Pergeseran Lapangan Usaha PDRB Kabupaten dan Kota di Provinsi Sumatera Selatan." Journal of Management and Bussines (JOMB) 5, no. 2 (August 4, 2023): 859–70. http://dx.doi.org/10.31539/jomb.v5i2.6460.
Анотація:
This study aims to analyze the impact of the Covid-19 pandemic on shifts in business fields in Regency and City GRDP in South Sumatra Province. The research method used is descriptive quantitative. The results of the study are (1) the average GRDP in the Regency Region after the pandemic increased from 14,444.63 to 16,831.04. This shows that there has been a recovery in the contribution of the Business Field to GRDP. The Business Fields which contributed quite a lot (2.7 percent) but have not yet recovered are Real Estate; (2) The average GRDP in the City Region after the pandemic fell from 27,459.3 to 19,272.2. This shows that there has been no recovery of GRDP; (3) The results of the quadrant analysis show that the shift in Business Fields that occurs is caused by a decreased contribution to GRDP, slowing growth in Business Fields, and a combination of both. In conclusion, there is a shift in Business Field which has a significant contribution to changes in GRDP in the City area.
Keywords: GRDP Shift, Impact of the Covid-19 Pandemic
8
Suranto. "PENGARUH DANA PERIMBANGAN (DBH, DAU, & DAK) TERHADAP PRODUK DOMESTIK REGIONAL BRUTO (PDRB) SULAWESI SELATAN." TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN 3, no. 1 (December 23, 2022): 53–67. http://dx.doi.org/10.55047/transekonomika.v3i1.348.
Анотація:
This study aims to analyze the effect of Revenue Sharing Funds (DBH), General Allocation Funds (DAU), Special Allocation Funds (DAK) on South Sulawesi's GRDP. This study uses a quantitative research design, namely research that seeks the relationship or influence between one variable and one or more other variables in terms of analyzing the effect of balancing funds on GRDP in South Sulawesi. The sample in this study looked at the budget realization reports of the Provincial Government and Regional Government of South Sulawesi Districts/Cities as well as South Sulawesi's GRDP data for 2010 to 2020. The results showed that DBH partially did not have a significant effect on South Sulawesi's GRDP. Partially, DAU has no significant effect on South Sulawesi's GRDP. Partially, DAK has no significant effect on South Sulawesi's GRDP. Meanwhile, DAU, DBH, and DAK simultaneously have a significant effect on South Sulawesi's GRDP. Furthermore, the amount of simultaneous influence is 92,6%, while the remaining 7,4% is determined by other factors not beyond this study.
9
Rubianti, Nisa Azizah. "Pengaruh Karakteristik WPP 712 Dan WPP 714 Terhadap PDB Perikanan Dan Produksi Perikanan Tangkap." Journal of Economic, Bussines and Accounting (COSTING) 7, no. 1 (October 24, 2023): 2235–346. http://dx.doi.org/10.31539/costing.v7i1.7958.
Анотація:
The fisheries sector has a role for the regional to national economy through fishery GRDP, fishery production, and employment. In utilizing fishery resources, Indonesian seas are divided into 11 WPP. This study aims to determine whether the differences in the characteristics of WPP 712 and WPP 714 can affect fisheries GRDP and capture fisheries production and to find out whether there is a reciprocal relationship between fisheries GRDP and capture fisheries production. The type of data used in this study is panel data in 14 provinces in 2010-2019. This study use TSLS regression analysis. The results of this study indicate that the differences in the characteristics of WPP 712 and WPP 714 have no effect on fishery GRDP and capture fisheries production. Fishery GRDP and capture fisheries production have a positive and significant effect on each other. Fish consumption rate has a positive and significant effect on each other. Fish consumption rate has a positive and significant effect on fisheries GRDP, but NTN have no effect on fisheries GRDP. The number of ships has a positive and significant effect on capture fisheries production.
Keywords: Fishery, Capture Fisheries, GRDP, Fisheries Production, Fish Consumption, WPP, NTN.
10
Budiyanto, Budiyanto, Irdam Riani, Ragil Larasati, Pini Ariska, Roslindah Daeng Siang, Ruslaini Ruslaini, Syamsul Kamri, and Wa Ode Piliana. "Role of Fisheries Sector in Forming the Gross Regional Domestic Product of Southeast Sulawesi Province." Buletin Penelitian Sosial Ekonomi Pertanian Fakultas Pertanian Universitas Haluoleo 25, no. 1 (April 29, 2023): 26–35. http://dx.doi.org/10.37149/bpsosek.v25i1.406.
Анотація:
The fisheries sector, both capture fisheries, and aquaculture, needs to be developed in Southeast Sulawesi Province, considering that most of its territory is water. One of the indicators to measure the success of the development of the fisheries sector is the increase in production and added value of fishery commodities. On the other hand, Gross Regional Domestic Product (GRDP) can be used as an indicator of the success of economic development in a region. As one of the GRDP elements, the value of fisheries production can be used to measure the performance of the fisheries sector. By knowing the magnitude of the value contribution of fishery products to GRDP, it can be seen the role of the fisheries sector in the formation of GRDP. This study aims to analyze the trend of fishery production value contribution to GRDP; and the relationship between the value contribution of fishery production and GRDP in Southeast Sulawesi. The data used in this study is time series data consisting of capture and aquaculture production values and GRDP for 17 years (2006-2022). Data analysis is descriptive quantitative and simple correlation analyses (Pearson correlation). The study results show that the value contribution of capture and aquaculture production to Southeast Sulawesi’s GRDP tends to decrease. The role of the fisheries sector in forming the GRDP of Southeast Sulawesi Province is not significant.
11
Yunitasari, Duwi, and Ahmad Firdaus. "ANALISIS SPASIAL KETERKAITAN PEREKONOMIAN WILAYAH DAN PENDAPATAN DAERAH DI INDONESIA DAN FILIPINA." BISMA: Jurnal Bisnis dan Manajemen 16, no. 1 (March 31, 2022): 28. http://dx.doi.org/10.19184/bisma.v16i1.13804.
Анотація:
Indonesia and the Philippines are agrarian island countries, where there are spatial linkages which can be seen from the value of Gross Regional Domestic Product (GRDP) of the two countries. This study aims to analyze how the spatial dependencies of GRDP between provinces in Indonesia and between regions in the Philippines. In addition, it also aims to see the influence of the Government’s Original Local Revenue (PAD) on GRDP. The analytical tool used in this study is Moran's I, Lagrange Multiplier (LM) Test, Ordinary Least Square, Spatial Autoregressive Model (SAR), and Spatial Error Model (SEM) using Geoda software. The results of the analysis show that there is spatial dependencies in the two countries with clustered patterns, in which if the GRDP in the study area increases, it will increase the GRDP value in the surrounding area or those in direct contact. Based on the results of the analysis, the SAR model is the best model because it can be used to model economic growth in Indonesia and the Philippines. The results of modeling between provinces in Indonesia show that PAD has a significant effect on GRDP. The results of inter-provincial modeling in Indonesia show that PAD has a significant influence on GRDP. The same thing is also seen in the results of modeling between regions in the Philippines, which also shows that PAD has a significant influence on GRDP.
Keywords: GRDP, LM, Moran’s I, SAR, Spatial Dependencies
12
Muhammad, Rafik, and Khairi Pahlevi. "Pengaruh Jumlah Penduduk, Tenaga Kerja, Dependency Ratio dan Rasio Jenis Kelamin terhadap PDRB di Kota Banjarmasin." JIEP: Jurnal Ilmu Ekonomi dan Pembangunan 3, no. 2 (November 17, 2020): 293. http://dx.doi.org/10.20527/jiep.v3i2.2534.
Анотація:
AbstractThe objectives in this study are (1) to determine the effect of population on GRDP in Banjarmasin City; (2) to assess the impact of labor on GRDP in the city of Banjarmasin; (3) to determine the effect of the ratio of dependents to GRDP in the town of Banjarmasin; (4) to assess the impact of sex ratio on GRDP in Banjarmasin City; (5) To find out the simultaneous influence of population, labor, dependency ratio, and sex ratio to GRDP in Banjarmasin City. And this research is expected to provide understanding to local governments, private parties, and community institutions with interest in economic development in the city of Banjarmasin through the GRDP and an overview of their population. This research can be a reference in the preparation of local government policies for economic development in Banjarmasin. This research method uses data collection methods by taking data from the central static and related agencies. After that, multiple linear regression analysis is performed to see the effect of independent variables on the dependent. The software used for regression analysis is Eviews. This study's research indicates that the population is having a significant impact and has a positive influence on the GRDP of the City of Banjarmasin; the workforce and the ratio of dependents do not substantially affect the GRDP of the City of Banjarmasin. While the sex ratio has a significant influence and is negatively related to GRDP.
13
Irfan, M., and Sinta Yulyanti. "EFFECT OF REGIONAL SPILLOVERS ON ECONOMIC GROWTH IN PEKANBARU CITY, RIAU PROVINCE, INDONESIA." International Journal of Economics Development Research (IJEDR) 1, no. 3 (December 20, 2020): 186–99. http://dx.doi.org/10.37385/ijedr.v1i3.167.
Анотація:
The economic activities of one region can provide abundant economic growth for other areas. This research discusses the reciprocal relationship between economic growth in Pekanbaru City and economic growth in Siak Regency, Pelalawan Regency, and Kampar Regency. Using quantitative methods and secondary data from the Central Bureau of Statistics was analyzed using the Two-Stage Least Square method then regressed using the Eviews 10 application. The results showed a positive and significant reciprocal relationship at ? 0.05 between Pekanbaru city GRDP and Siak Regency GRDP. Coefficients 0.9626 and 1.0890. The expected effect of GRDP of Pekanbaru City and GRDP of Pelalawan Regency with a coefficient of 3.4663 and 0.2864 at ? 0.05. Whereas Kampar Regency only has a unidirectional relationship, namely, the GRDP of Pekanbaru City has a positive and significant effect on Kampar's GRDP with a coefficient of 0.9527 at ? 0.10. Apart from being caused by geographic conditions, this reciprocal influence is caused by leading sectors, including the pulp and paper processing industry, the oil and gas mining sector, and the oil palm plantation sector, which delegate economic activities between Siak Regency and Pelalawan Regency with Pekanbaru City. Meanwhile, GRDP Pekanbaru City and GRDP Kampar Regency only provide unidirectional spillover due to the dominance of the trade and construction sector in Pekanbaru City.
14
Rezeki, Fuzi Amali Sri, Risma Limayyasa, Fauzan Ali Mufti, Purwanti Widhansetyati, Mochamad Edman Syarief, S. Setiawan, and Muhammad Iqbal Fatoni. "Does Islamic Banking Contribute to Increasing Public Welfare? Evidence from Indonesian Province Panel Data." Suhuf 36, no. 1 (May 24, 2024): 33–43. http://dx.doi.org/10.23917/suhuf.v36i1.4474.
Анотація:
One of the Sustinable Development Goals (SDGs) targets in Indonesia is to increase the level of public welfare that can be represented in GRDP per capita. Therefore, the purpose of this study is to determine whether Islamic banking through Islamic Commercial Banks (BUS), Islamic Business Units (UUS) and Sharia Rural Banks (BPRS) in 33 provinces in Indonesia, has contributed to GRDP per capita during the 2015-2022 period. GRDP per capita as a proxy indicator for the level of public welfare to encourage the achievement of the sustainable development goals (SDGs) target. This study uses panel data regression analysis because the data is time series and cross section. The size of the Islamic banking contribution uses Islamic Bank Office (IBO), Financing and Third-Party Funds (TPF) variables in 33 provinces in Indonesia. Meanwhile, the size of the welfare level of a region uses Gross Regional Domestic Product (GRDP) per capita data. The findings of this study show that the IBO, financing, and TPF variables simultaneously have a significant positive effect on GRDP. However, partially, the IBO variable has a significant negative effect on GRDP, the financing variable has a significant positive effect on GRDP, and the TPF variable has no effect on GRDP.
15
Adi, Hanani Aprilia, and Retno Mustika Dewi. "THE EFFECT OF PMA, PMDN AND MANPOWER ON PDRB OF EAST KALIMANTAN PROVINCE." Jurnal Ekonomi Balance 16, no. 2 (December 26, 2020): 252–65. http://dx.doi.org/10.26618/jeb.v17i2.6688.
Анотація:
The purpose of this study was to determine the effect of Foreign Direct Investment (FDI), Domestic investment (DCI), and labor on Gross Regional Domestic Product (GRDP) in East Kalimantan Province in 2009-2018. This study uses the Ordinary Least Square (OLS) method. The results showed that the variable FDI had no significant effect on the GRDP of East Kalimantan Province with a coefficient value of 0.864 because the probability value was 0.05%. When FDI has increased, the GRDP in East Kalimantan Province will experience a decline. While the DCI variable has no significant effect on the GRDP of East Kalimantan Province with a coefficient value of 0.395 because the probability value was 0.05%. When DCI has increased, the GRDP in East Kalimantan Province will experience a decline. In addition, the labor variable has a significant influence on the GRDP of East Kalimantan Province with a coefficient value of 0.022 because the probability value was 0.05%. When labor has increased, the GRDP in East Kalimantan Province will experience an increase.
16
Marlina, Marlina, and Umaruddin Usman. "PENGARUH PDRB DAN PENGELUARAN PEMERINTAH PROVINSI PAPUA TERHADAP KEMISKINAN DI PAPUA." Jurnal Ekonomi Regional Unimal 3, no. 2 (November 29, 2020): 15. http://dx.doi.org/10.29103/jeru.v3i2.3202.
Анотація:
The purpose of this study was to see the effect of GRDP and Expenditure on the Provincial Government of Papua on Poverty in Papua. The data used in this study are secondary data sourced from the Central Statistics Agency (BPS). The data analysis method used in this study is multiple linear regression with the help of the program package eviews 10. The results showed that the GRDP variable has a negative effect on poverty, while the government expenditure variable does not negatively affect poverty, but together the GRDP variable and Government expenditure positively influences poverty in Papua and the magnitude of the effect of GRDP variable and government expenditure on poverty is 0.6966 (69.66%). Recommendations, it is expected that the local government of Papua can increase the GRDP which will be able to minimize poverty in Papua.Keywords: GRDP, Government Expenditure and Poverty
17
Shofura, Annisa, and Andryan Setyadharma. "The Analysis of Factors Affecting Original Local Government Revenue in Eastern Indonesia." Efficient: Indonesian Journal of Development Economics 6, no. 1 (January 20, 2023): 46–59. http://dx.doi.org/10.15294/efficient.v6i1.55864.
Анотація:
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.
18
Syahrindra, Affan, Titik Ekowati, and Wahyu Dyah Prastiwi. "ANALISIS TREND DAN PERAMALAN PRODUK DOMESTIK REGIONAL BRUTO SEKTOR PERTANIAN PROVINSI JAWA TENGAH." Jurnal Litbang Provinsi Jawa Tengah 21, no. 1 (August 4, 2023): 21–34. http://dx.doi.org/10.36762/jurnaljateng.v21i1.988.
Анотація:
The study aimed to 1). analyze the GRDP trends of the agricultural sector in Central Java Province, 2). analyze the contribution of each agricultural subsector to the formation of the agricultural sector GRDP in Central Java Province 3). analyze each district/city's contribution to the formation of the agricultural sector GRDP in Central Java Province. The research was carried out in February-March 2022 in Central Java Province. Secondary data method were used in the research. The data were obtained from Central Bureau of Statistics. Time series data on agricultural sector GRDP in Central Java Province during 2011-2020 were being used in the study. The least quadratic method were used to analyze the GRDP trends, completed with a line graph prediction of the trends. The agricultural subsector contribution analysis was conducted by calculating the contribution between the total GRDP of the agricultural subsector and the total GRDP of the agricultural sector of Central Java during Years 2011-2020. The analysis of the contribution of the district/city agricultural sector was conducted by calculating the contribution between the total GRDP of each district/city and the total GRDP of the agricultural sector of Central Java during 2011-2020. The results of the study show that the graph formed by the trend increases. The results of the agricultural subsector's contribution analysis showed that the largest contribution contributed by the food crop subsector with 34.59%, while the smallest contributed by agricultural and hunting service activities with 1.94%. The results of the contribution analysis showed that the largest contribution contributed by Brebes County with 9.02%, while the smallest contributed by Magelang City with 0.09%. In conclusion, the GRDP of the agricultural sector in Central Java Province has been on the rise and is forecast to continue to increase.
19
Siregar, Selamat. "PENGARUH TINGKAT PENGANGGURAN TERBUKA DAN INFLASI TERHADAP PDRB RIIL TAHUN 2002–2022 KOTA MEDAN." Majalah Ilmiah METHODA 13, no. 3 (December 31, 2023): 319–22. http://dx.doi.org/10.46880/methoda.vol13no3.pp319-322.
Анотація:
The purpose of this research is the influence of inflation and open unemployment rate on the growth of Real GRDP of Medan City. The sample used is the data of inflation variable and open unemployment rate variable and Real GRDP growth variable of Medan City from 2007 to 2022. The results of the study obtained that the inflation variable has no significant effect on the growth of Real GRDP of Medan City, the open unemployment rate variable has no significant effect on the growth of Real GRDP of Medan City, together the inflation variable and the open unemployment rate have no significant effect on the growth of Real GRDP of Medan City. and the influence of the inflation variable and the open unemployment rate variable on the growth of Real GRDP is 3.5%, the remaining 96.5% is explained by other variables or factors not discussed in this study.
20
Sari, Arta Mevia, and Sunoto Sunoto. "Analysis of the Effect of Public Infrastructure on the Economy in South Sumatra Province." Indonesian Journal of Business Analytics 3, no. 6 (January 3, 2024): 2207–22. http://dx.doi.org/10.55927/ijba.v3i6.6460.
Анотація:
The purpose of this study is to analyze how much influence Road Infrastructure, Water and Electricity, on GRDP in South Sumatra Province. The data used in this study is secondary data which includes GRDP data at constant 2010 prices, road length according to good road conditions, water data using the amount of water supplied, and electricity data using the distribution of electricity sold in South Sumatra Province from 2018-2022. The data obtained will be analyzed through panel data regression. The results showed that road infrastructure development has a positive and significant impact on Gross Regional Domestic Product (GRDP), while water infrastructure has a positive but insignificant impact on GRDP. In addition, electricity infrastructure also has a positive and significant impact on GRDP. The results also show that the road and electricity variables jointly affect the GRDP variable in South Sumatra Province in 2018-2022.
21
Aulia Nurfitriana, Ine Febrianti Siregar, and Tinti Sriyani. "Analisis Pengaruh Pajak Daerah Dan Angkatan Kerja Terhadap Pertumbuhan Ekonomi Di Sumatera Utara Periode (2018-2021)." Transformasi: Journal of Economics and Business Management 2, no. 2 (May 18, 2023): 130–45. http://dx.doi.org/10.56444/transformasi.v2i2.736.
Анотація:
GRDP is the total value of final goods and services produced by all economic units in a region. The GRDP level can describe the economic growth of a region. The high level of economic growth as indicated by the high GRDP value indicates that the region is experiencing progress in the economy. The purpose of this study is to see how much influence Taxes and the Labor Force have on GRDP in North Sumatra Province. The research method uses panel data analysis using data spanning 4 years starting from 2018 to 2021. Based on the research results, the results of Tax and Labor have a positive and significant effect on GRDP in North Sumatra.
22
Praja, Rama Bhaskara, and Suparna Wijaya. "The Effect Of Population Size And Number Of Motor Vehicles On Local Tax Revenue With GRDP As A Moderating Variable." Educoretax 4, no. 1 (February 11, 2024): 104–15. http://dx.doi.org/10.54957/educoretax.v4i1.717.
Анотація:
Local taxes play a crucial role in advancing a region. Besides financing local government expenditures, local taxes also enable regional governments to create greater fiscal autonomy, providing flexibility in fund allocation. However, the contribution of local taxes to regional revenue remains relatively small, at only 38%. Therefore, it is essential to identify factors influencing local tax revenues across all provinces in Indonesia to optimize local tax revenue. This research employs linear regression with generalized least square (GLS). The results indicate that the population size, the number of motorized vehicles, Gross Regional Domestic Product (GRDP), interaction between population size and GRDP, and interaction between the number of motor vehicles and GRDP, have a significant effect on local tax revenues simultaneously. However, partially, the population size does not affect local tax revenues. On the other hand, the number of motor vehicles and GRDP positively influence local tax revenues. Furthermore, the moderation regression analysis reveals that GRDP strengthens the influence of the population size on local tax revenues. Conversely, the interaction between GRDP and the number of motor vehicles shows that GRDP weakens the positive effect of the number of motor vehicles on local tax revenues.
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Norhidayah, Norhidayah, and Muhammad Anshar Nur. "Produk Domestik Regional Bruto Hijau Sektor Pertanian Subsektor Tanaman Pangan di Kabupaten Hulu Sungai Selatan." JIEP: Jurnal Ilmu Ekonomi dan Pembangunan 4, no. 1 (May 31, 2021): 65. http://dx.doi.org/10.20527/jiep.v4i1.3543.
Анотація:
The topic raised in this study was about the green GRDP in the agriculture sector of the food crops subsector in the Hulu Sungai Selatan regency. This research aims to find out the value of green GRDP in the agricultural sector of the food crop subsector in the Hulu Sungai Selatan regency. This research uses the analysis technique of Green GRDP calculation. According to the level of exploration, this type of research data is quantitative research and, according to the level of exploration, is descriptive research. The data used are secondary and are supported by primary data to supplement.The result of this study is the value of green GDRP in the agricultural sector of the reduction of conventional GRDP with depletion and degradation of soil resources. In addition, this study shows the high depletion and degradation value of land resources in the Hulu Sungai Selatan Regency makes the green GRDP value higher than the conventional GRDP value.
24
Soraya, Siti, Baiq Candra Herawati, Muttahid Shah, and Syaharuddin Syaharuddin. "Spatial Econometric Model on Economic Growth in West Nusa Tenggara." Jurnal Varian 4, no. 2 (April 30, 2021): 153–58. http://dx.doi.org/10.30812/varian.v4i2.912.
Анотація:
Gross Regional Domestic Product (GRDP) is a reflection of a region's economic growth. West Nusa Tenggara (NTB) is one of the provinces that contributes to good GRDP for Indonesia. The purpose of this research is to modeling GRDP in NTB using spatial econmetrics. The data used is the GRDP data of each district / city in NTB Province as a response variable and factors that affect the number of workers, capital value and electrification ratio as predictor variables. The results showed that there is a spatial dependence on the district / city GRDP in NTB Province on the error model so that the model formed is the Spatial Error Model (SEM) with a rho of 71.1% and an AIC value of 173.34.
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Yekti Widyaningsih and Melia Rizki Fitrianingrum. "Pemodelan Spasial pada Data Produk Domestik Regional Bruto di Pulau Jawa Sebelum dan Ketika Pandemi." Jurnal Statistika dan Aplikasinya 6, no. 1 (June 30, 2022): 12–25. http://dx.doi.org/10.21009/jsa.06102.
Анотація:
One of the regional economic indicators is GRDP, GRDP or gross regional domestic product explains the ability of the region to manage and utilize the resources in the area. In 2020, the Covid-19 pandemic entered Indonesia and caused the economy to stagnate. This has a negative effect on national economic activities and reduces the value of GRDP. To overcome these problems, we will look for factors that are thought to influence the value of GRDP. In the process there are obstacles, namely incomplete data (there are missing values). To overcome the missing values, imputation will be carried out using the k-nearest neighbor imputation method. The spatial effect test was conducted to determine whether there was a spatial effect on the data. Based on the test, it is known that there is spatial heterogeneity, so that the modeling of the GRDP value is carried out using the geographically weighted regression model. The GWR method can handle spatial non-stationary, so that it can be seen what variables significantly affect the value of GRDP in each district/city on the island of Java. Before the pandemic, the variables that affected the value of GRDP in Java were local income, average informal wages, realization of domestic investment, and the number of unemployed. During the pandemic, the variables that affect the value of GRDP in Java are local revenue, the realization of foreign investment, and the number of unemployed.
26
Ruslan, Dede, Pebri Hastuti, and Dedi Irawan. "PENGARUH PENANAMAN MODAL DALAM NEGERI (PMDN) DAN PENANAMAN MODAL ASING (PMA) TERHADAP PRODUK DOMESTIK REGIONAL BRUTO (PDRB) SUMATERA UTARA TAHUN 2000-2018." NIAGAWAN 9, no. 1 (March 31, 2020): 45. http://dx.doi.org/10.24114/niaga.v9i1.17655.
Анотація:
This research is titled foreign investment (PMA) and domestic investment (PMDN) on gross regional domestic product (GRDP) in North Sumatra. The purpose of this study was to analyze the effect of PMA and PMDN on GRDP. The method used in this research is a quantitative method that uses mathematical models to present facts or describe statistics to show the relationship between variables namely capital development and domestic investment of regional domestic products in North Sumatra. The results of data processing showed that PMA and PMDN variables in districts / cities in North Sumatra did not have a positive and significant effect on GRDP variables. Meanwhile, procedurally, PMA variable does not have a significant effect on GRDP while PMDN has a positive and significant effect on GRDP. Kata Kunci : Foreign Capital, Domestic Capital, Transition
27
Auliana, Liqa, and Chairul Sa’roni. "Pengaruh Angka Harapan Hidup, Rata-rata Lama Sekolah dan Paritas Daya Beli Terhadap PDRB di Kalimantan Selatan." JIEP: Jurnal Ilmu Ekonomi dan Pembangunan 6, no. 2 (December 1, 2023): 986. http://dx.doi.org/10.20527/jiep.v6i2.11079.
Анотація:
This study shows the effect of life expectancy, average length of schooling, and purchasing power parity on GRDP in South Kalimantan. This study uses secondary data obtained from the Central Statistics Agency in 2011-2020, with time series analysis data; the results of the study state: life expectancy has a negative and insignificant effect on GRDP in South Kalimantan; the average length of schooling has a positive and significant impact on GRDP in South Kalimantan; Purchasing power parity has a positive and significant effect on GRDP in South Kalimantan; The value of the determinant coefficient (R2) is 0.974301 with the intention that GRDP is influenced by three variables, namely life expectancy, average length of schooling and purchasing power parity 97% and the rest is influenced by other factors 3%.
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Fitriani, Yohana Dwi, and Agnes Susana Merry Purwanti. "Pengaruh PAD, DAU, dan DAK Terhadap Produk Domestik Bruto di Provinsi Lampung Periode 2016-2018." GEMA : Jurnal Gentiaras Manajemen dan Akuntansi 13, no. 2 (October 1, 2012): 149–59. http://dx.doi.org/10.47768/gema.v13i2.241.
Анотація:
Lampung is one of the provinces in Indonesia that feels the impact of regional autonomy, so a measuring tool is needed to determine the economic condition per period through gross regional domestic product. The purpose of this study is to determine the effect of Regional Original Income, General Allocation Funds, and Special Allocation Funds on GRDP. This study uses a quantitative approach. The type of data used is secondary data found on the official website of BPS Lampung. The type of data used is time series data in the 2016-2018 period and cross section data for 15 districts/cities in Lampung Province. The statistical analysis method used is multiple linear regression analysis, using the SPSS 20 program. The results of the analysis conclude that: Regional Original Income has a positive effect on GRDP, General Allocation Funds have a positive effect on GRDP, and the Special Allocation Fund K has no effect and is negative on GRDP. GRDP. Simultaneously, the variables of Regional Original Revenue, General Allocation Fund, and Special Allocation Fund have a significant effect on GRDP.
29
Rosmalia, Johana, Rusdiah Iskandar, and Fitriadi Fitriadi. "PENGARUH INVESTASI DAN TENAGA KERJA TERHADAP PRODUK DOMESTIK REGIONAL BRUTO (PDRB) DAN PENDAPATAN ASLI DAERAH (PAD) KOTA BALIKPAPAN." Journal of Innovation in Business and Economics 5, no. 2 (March 2, 2015): 159. http://dx.doi.org/10.22219/jibe.vol5.no2.159-172.
Анотація:
This study used secondary data in the form of time series which are analyzed using Pathway analysis with multiple linear regression formula. The purpose of this study was to determine the effect of investment and labor to gross regional domestic product (GRDP) and regional revenues in Balikpapan city. The results of the study was shown that Y = 0.202 - 0.098 X1 + 0.244 X2 + 0.825 X3. The results showed that investment, labor and gross regional domestic product (GRDP) have jointly effect on the regional revenues in Balikpapan city. Partially; the investment has no significant effect on gross regional domestic product (GRDP), labor has significant effect on gross regional domestic product (GRDP), gross regional domestic product (GRDP) has significant effect to regional revenues in Balikpapan city, the investment has no significant effect on regional revenues in Balikpapan city, and labor has no significant effect on regional revenues in Balikpapan city. The contribution of investment, labor and gross regional domestic product (GRDP) variable was about 93.5 % and it means that those have very strong relationship; meanwhile, the rest, about 6.5 %, has been influenced by other factors.
30
Nugroho, Setyo, Kukuh Murtilaksono, and Seokmana Soma. "PDRB Hijau dalam Perkembangan Wilayah di Kota Depok." TATALOKA 22, no. 2 (May 29, 2020): 222–35. http://dx.doi.org/10.14710/tataloka.22.2.222-235.
Анотація:
Depok City has become one of the cities with high economic growth in West Java Province. This high growth, however, also has impact on the environment. This study aimed to review the level of regional development and linkages among economic sectors and calculate Green GRDP for regional development directions. Scalogram method and input output analysis were applied to indicate the level of regional development and identify the key sectors. The value of green GRDP was obtained from the calculation of natural resource depletion and calculation of environmental degradation. The research showed that 65.08% of villages in Depok City were in the form of hinterland. The sector of electricity, gas, and drinking water was the key sector of economic development in Depok City. Furthermore, the Green GRDP value only had a difference of 4.47% or Rp2,610.78 billion, compared to Brown GRDP. However, if the GRDP difference was compared to the original local government revenue, this would consume all of the income. The analysis resulted green GRDP was more relevant to be applied as an economic indicator because better description the level of overall welfare.
31
Setyowati, Endah. "ANALYSIS OF INDONESIA ECONOMIC GROWTH BASED ON INVESTMENT VALUE AND HUMAN DEVELOPMENT INDEX USING AN ECONOMETRIC APPROACH." Jurnal Statistika Universitas Muhammadiyah Semarang 10, no. 2 (April 13, 2023): 43. http://dx.doi.org/10.26714/jsunimus.10.2.2022.43-53.
Анотація:
The study aims to determine the effect of the Human Development Index (HDI) variable and investment variables which include Domestic Investment and Foreign Investment on the Gross Regional Domestic Product (GRDP) of 34 provinces in Indonesia in 2015-2019. The method used in this research is panel regression analysis. The results of the study indicate that the best panel data regression model for modeling GRDP is the Random Effect Model (REM). Based on the model formed, it is known that the variables HDI, Domestic Investment, and Foreign Investment have a significant positive effect on GRDP. These results are consistent with the theory and hypothesis that the higher the value of the HDI, Domestic Investment, and Foreign Investment, the higher the value of the GRDP variable. The coefficient of determination shows a moderate value of 58.9%, so it is suspected that there are other variables that can affect GRDP. Based on the regression model formed, if all independent variables have the same value for all provinces, then the province with the highest GRDP value is Jakarta.
32
Maria, Siti. "PENGARUH INVESTASI AGRO INDUSTRI DAN TINGKAT SUKU BUNGA SERTA TENAGA KERJA TERHADAP PRODUK DOMESTIK REGIONAL BRUTO DAN PENDAPATAN ASLI DAERAH KOTA SAMARINDA." Journal of Innovation in Business and Economics 5, no. 1 (February 27, 2015): 75. http://dx.doi.org/10.22219/jibe.vol5.no1.75-80.
Анотація:
The purpose of this study are to determine the effect of agro industry Investment, interest rate, and labor toward gross regional domestic product (GRDP) and regional revenues in Samarinda city; and to describe the effect of gross regional domestic product (GRDP) toward the regional revenues in Samarinda City. The data analyzing used in this study is regressions in two ways. Based on the result, the researcher found that: first, the variable of agro industry investment, interest rate, and the amount of labor had significant effect toward regional domestic product (GRDP) in Samarinda city; Second, the variable of agro industry investment, interest rate, the amount of labor, and regional domestic product (GRDP) had significant effect toward regional revenues in Samarinda City; and third, gross regional domestic product (GRDP) was proved significantly affecting regional revenues in Samarinda city.
33
Sari Amin, Venniy Dinda, Heppi Milia, Heppi Milia, Apoda Apoda, and Apoda Apoda. "PENGARUH PRODUK DOMESTIK REGIONAL BRUTO TERHADAP KONSUMSI MASYARAKAT KOTA KENDARI." Jurnal Ekonomi Pembangunan (JEP) UHO 12, no. 1 (September 7, 2022): 772. http://dx.doi.org/10.57206/jep_uho.v12i1.27656.
Анотація:
This study aims to determine the effect of gross regional domestic product (GDP) on public consumption in Kendari City. The data used in this study is secondary data in the form of time series data with a time period of 2010-2021 consisting of GRDP data according to GRDP according to expenditures based on constant prices, per capita GRDP data and average per capita data. consumption expenditure. This study uses simple linear regression analysis. The software used in this study is Eviews 12. The results of this study indicate that GRDP per capita has a positive and significant influence on public consumption in Kendari City. From the results of this study, it can be concluded that the per capita GRDP income is one of the important factors in changing the consumption pattern of the people in Kendari City.
34
Agustina, Annisa, and Muhammad Anshar Nur. "Integrasi Aspek Ekonomi dan Lingkungan dalam Perhitungan Produk Domestik Regional Bruto (PDRB) Hijau Subsektor Tanaman Pangan di Kabupaten Barito Kuala." JIEP: Jurnal Ilmu Ekonomi dan Pembangunan 5, no. 2 (November 29, 2022): 738. http://dx.doi.org/10.20527/jiep.v5i2.7023.
Анотація:
This research was conducted to: (1) Identify the value of Depletion, Degradation and Depreciation of the Food Crops Subsector in the Barito Kuala Regency. (2) Knowing the value of Green GRDP in the Agricultural Sector, Food Crops Subsector in Barito Kuala Regency. This research is a descriptive study using quantitative data that follows the concept of green GRDP calculation. This research also comes from secondary data. This research shows that the result of the calculation using the concept of Green GRDP in the Agricultural Sector in the Food Crops Subsector is smaller than the value calculated using the Conventional GRDP concept. The value of Green GRDP of the Agriculture Sector in the Food Crops Subsector in 2016 was 319.5 billion, in 2017 it was 222.1 billion, in 2018 it was 232.7 billion, and in 2019 it was 669.6 billion.
35
Saskia, Nadia Shafa, and Yusnida. "Pengaruh Tenaga Kerja, UMP Dan PAD Terhadap PDRB Per Kapita Di Wilayah Sumatera 2010-2020." Convergence: The Journal of Economic Development 4, no. 1 (July 31, 2022): 54–68. http://dx.doi.org/10.33369/convergencejep.v4i1.23021.
Анотація:
This study aims to analyze the effect of labor, UMP and PAD on GRDP per capita. The components used in this study include labor, UMP and PAD. The method in this research is explanatory research and uses panel data regression analysis with cross section data for 10 provinces and time series data for 11 years. The results of this study indicate that Manpower, UMP and PAD simultaneously affect GRDP per capita in Sumatera 2010-2020. Labor variable has a positive and significant effect on GRDP per capita with a coefficient value of 4.531552 and a significance value of 0.0067 which is smaller than 0.05. The UMP has a positive and significant effect on GRDP per capita with a coefficient value of 0.859076 and a significance value of 0.0019 which is smaller than 0.05. PAD has a positive and significant effect on GRDP per capita with a coefficient value of 0.000148 and a significance value of 0.0067 which is smaller than 0.05. The value of Adj.R2 is 0.9836, this shows that 98.36% of the change in GRDP per capita can be explained by changes in the three independent variables consisting of Manpower, UMP and PAD. While the remaining 1.64% can be explained by other variables not included in this study. Keywords : Labor1, UMP2, PAD3, GRDP per capita4
36
Dewi Sri Nurchaini, Saidin Nainggolan, and Dini Mulia Sari. "Analysis of the contribution of rubber plantations to economic growth in Tebo District Jambi-Indonesia." GSC Advanced Research and Reviews 18, no. 1 (January 30, 2024): 328–35. http://dx.doi.org/10.30574/gscarr.2024.18.1.0028.
Анотація:
Plantation rubber is all activity who cultivate rubber plants which play a role in producing latex which can act as a source of state and regional income, so that the rubber commodity has an important role in the economic growth of a region. The aim of this research is to determine and analyze the picture of GRDP and rubber plantations in Tebo Regency, as well as the contribution of rubber plantations to economic growth in terms of income (GRDP) and labor absorption in Tebo Regency. The results of the research show that the PDRB picture in Tebo Regency includes the average ADHB GRDP from the plantation subsector during 2011-2021 amounting to IDR 31,528,494 million per year with an average growth of 20.01% each year, while the average ADHK's GRDP is IDR 22,948,684 million per year with an average growth of 9.27%. The contribution of rubber plantations to the regional economy seen from the aspect of income (GRDP) in Tebo Tebo Regency during 2011 to 2021 includes the average contribution of rubber plantations to ADHB GRDP of Tebo Regency during 2001 to 2021 of 37.81%, while ADHK's GRDP is 37.81%. 34.68%, where rubber plantations have an impact on the economy so that rubber plantations become a basic sector and can trigger rapid economic growth in Tebo Regency.
37
ASTUTI, NI KADEK AYU PUJI, NI LUH PUTU SUCIPTAWATI, and MADE SUSILAWATI. "MEMODELKAN PRODUK DOMESTIK REGIONAL BRUTO DI INDONESIA MENGGUNAKAN REGRESI DATA PANEL SPASIAL." E-Jurnal Matematika 11, no. 3 (August 31, 2022): 184. http://dx.doi.org/10.24843/mtk.2022.v11.i03.p379.
Анотація:
Gross regional domestic product (GRDP) is one of the important indicators to determine economic conditions in a region. The magnitude of the growth rate of GRDP is developed by the progress of regional economic development, both carried out by the government and the private sector in order to improve the welfare of the population. The purpose of this study is to examine the business sector that has the most significant influence on GRDP in Indonesia by applying spatial panel data regression. The results show that the best model in modeling GRDP in Indonesia is the spatial lag common effect which has an value of 83,13% while the independent variables that are significant to the increase in GRDP can be divided into two, namely significant positive and significant negative effects. The variables that have a significant and positive effect on GRDP are agriculture, forestry, and fisheries , mining and quarrying electricity and gas supply, water supply, waste management, waste and recycling, construction, financial services and insurance, real estate, and other services. wholesale and retail trade; car and motorcycle repair, transportation and warehousing, company services education services .
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Febrianto, Alvaro Dimas, and Zainal Arifin. "Pengaruh Investasi, Angkatan Kerja, Pengeluaran Pemerintah dan Tingkat Pendidikan Terhadap PDRB Jawa Timur." Jurnal Ilmu Ekonomi JIE 5, no. 4 (November 29, 2021): 701–11. http://dx.doi.org/10.22219/jie.v5i04.18752.
Анотація:
Gross Regional Domestic Product (GRDP) is a reference of GRDP in a region, where if a GRDP value in a region increases, it indicates an increase in the production process of items and services. Investment, labor force, government expenditure, and educational level are some of the indicators that can influence the changes of GRDP value in a region. The aim of this study is to analyze how the influence of Investment, Labor Force, Government Expenditure (Capital Expenditure, and High School Education Level. This study was a quantitative study using multiple linear regression analysis with time series, which was analyzed with SPSS 26 software. The results of this study show that simultaneously, variables of Investment, Labor Force, Government Expenditure (Capital Expenditure), and High School Education Level significantly influence the GRDP in East Java Province in 1990-2020. The coefficient of determination (R2) shows that 80.3 percent of variables influence employment, and the remaining 19.7% is explained by other variables not examined in this study. Partially, Investment, Labor Force, Government Expenditure (Capital Expenditure), and High School Education Level significantly influence the GRDP in East Java Province.
Keywords: Investment, Labor Force, Government Expenditure (Capital Expenditure), High School Education Level
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Susila, Muktar Redy, and Fastha Aulia Pradhani. "ANALISIS PENGARUH PDRB PER KAPITA DAN JUMLAH TENAGA KERJA TERHADAP JUMLAH PENDAPATAN PAJAK DAERAH PROVINSI DI INDONESIA." Jurnal Ilmiah Akuntansi dan Keuangan (JIAKu) 1, no. 1 (April 30, 2022): 72–87. http://dx.doi.org/10.24034/jiaku.v1i1.4996.
Анотація:
The purpose of this study is to analyze the effect of GRDP per capita and the labor number on the province tax revenue. Regional tax revenues for each province have different figures. It is suspected that GRDP per capita and number of labor affect local tax revenues. To answer the research hypothesis, multiple linear regression analysis was used. The data used in the study were sourced from the Badan Pusat Statistik in 2020. The dependent variable in this study is local tax revenue, while the independent variables are GRDP per capita and the number of labor. Based on the results of the t-test, it was found that the GRDP per capita and the number of workers had a significant effect on province regional tax revenues. The coefficient value of GRDP per capita and the number of labor is positive. Based on the multiple linear regression model formed, the R2 value is 91.05%. So it can be said that GRDP per capita and the number of labor can explain the province tax revenue of 91.5%, the remaining 8.5% is explained by other independent variables not included in this study.
40
Pasaribu*, Ayu Angelina, Sutejo Perangin Angin, Irsad Irsad, and Dede Ruslan. "The Effect of Local Government Spending For Education and Health on Grdp and Human Development Index in North Labuhanbatu District." Riwayat: Educational Journal of History and Humanities 6, no. 1 (January 14, 2023): 124–32. http://dx.doi.org/10.24815/jr.v6i1.29449.
Анотація:
This study aims to analyze and determine the effect of government spending on education and health on GRDP and the human development index in North Labuhanbatu District. The data used in this research is secondary data in 2017-2021. The analysis tool used is path analysis. The software used to carry out the analysis is IBM SPSS Version 20. The results of the analysis show that an increase in government spending on education has a positive and insignificant effect on GRDP in North Labuhanbatu Regency . These results are in accordance with the hypothesis but not significant in terms of triggering an increase in GRDP. This could be due to the fact that educated graduates are still not optimal in absorbing labor in accordance with the demand for available jobs. The increase in government spending on health has a positive and significant effect on GRDP in North Labuhanbatu District. It can be concluded that there is a significant impact from the increase in the health sector budget spending on increasing GRDP in North Labuhanbatu Regency. Because GRDP will increase if everyone enjoys maximum health facilities.
41
Ginting, Era Mustika, Eka Saripa Siburian, Fikri Ardiansyah Pulungan, and Meilany Dwi Syafitri. "The Influence of Inflation Levels, Exchange Rates and Exports on Gross Regional Domestic Product of North Sumatra for the 2001-2021 Period." AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia 3, no. 1 (January 1, 2024): 526–31. http://dx.doi.org/10.57235/aurelia.v3i1.1676.
Анотація:
This research aims to analyze the influence of the inflation rate, exchange rate and exports on the Gross Regional Domestic Product (GRDP) of North Sumatra for the 2001-2021 period. The data used in this research is secondary data obtained from the North Sumatra Central Statistics Agency and Bank Indonesia. The analytical method used is panel data regression analysis using Eviews 10 software. The results of the research show that the inflation rate has a significant negative effect on the GRDP of North Sumatra, meaning that the higher the inflation rate, the lower the GRDP of North Sumatra. Meanwhile, the exchange rate and exports have a significant positive effect on North Sumatra's GRDP, meaning that the higher the exchange rate and exports, the higher the North Sumatra GRDP will be. From the results of this research it can be concluded that price and exchange rate stability are very important in increasing economic growth in North Sumatra. Apart from that, the government also needs to strengthen the export sector as one of the main sources of income in increasing North Sumatra's GRDP. It is hoped that this research can contribute to economic development in North Sumatra
42
Sulaiman, Sulaiman, and Murtala Murtala. "Analisis Kontribusi Sektor Industri Pengolahan Dan Pengaruh Bagi Hasil Pajak Terhadap Produk Domestik Regional Bruto (PDRB) Di Kabupaten Aceh Utara Tahun 2008-2017." Jurnal Ekonomi Regional Unimal 4, no. 1 (August 7, 2021): 1. http://dx.doi.org/10.29103/jeru.v4i1.4814.
Анотація:
The purpose of this study was to determine the effect of tax revenue sharing (X) on GRDP (Y) in North Aceh District and find out the contribution of the manufacturing sector to GDP in North Aceh District. To achieve this goal, this study uses secondary data in the form of time series in 2008-2017 which are sourced from the North Aceh Regency BPS. A data analysis method using Simple Linear Regression and Analysis of GRDP Sector Contribution. The results showed that partially stated that tax revenue sharing had no significant effect on GRDP in North Aceh District. The contribution of the manufacturing sector to the GRDP in North Aceh District was the largest in 2015, which was 16% and the smallest occurred in 2008 at 4.09%. The average contribution of the manufacturing sector to the GRDP in North Aceh Regency over the past 10 years is 11.59%.
43
Salqaura, Siti Sabrina, Marizha Nurcahyani, and Siti Alhamra Salqaura. "The Influence of the Agricultural Sector to the Poverty in North Sumatera Province (Panel Data Analysis)." International Journal of Research and Review 10, no. 9 (September 15, 2023): 129–37. http://dx.doi.org/10.52403/ijrr.20230913.
Анотація:
The aims of this study were to determine whether there is an influence of Gross Regional Domestic Product (GRDP), GRDP of Agricultural Sector, Total Population and Total Unemployment to the Poverty in North Sumatera. This Research used 33 Regencies in North Sumatera as the cross-section and time series from 2011 until 2021. The method used in this article is quantitative method with panel data regression analysis techniques. The data used are secondary data. The results showed that GRDP and GRDP of Agricultural Sector have negative significant influence to poverty while total population and total unemployment have insignificant influence to poverty. Keywords: Agricultural Sector, Poverty, Panel Data
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Siregar, Robert Tua, Hery Pandapotan Silitonga, Khairunnisah Lubis, and Acai Sudirman. "The Impact of GRDP and RWP on Regional Minimum Wage." JEJAK 13, no. 2 (October 1, 2020): 292–306. http://dx.doi.org/10.15294/jejak.v13i2.23398.
Анотація:
The purpose of this research was to find out the effect of the percentage in development of Pematangsiantar city’s regional minimum wages, and the problem in this study how GRDP and RWP affect on the percentage of development of Regionl Minimum Wage at Pematangsiantar City. The method used was quantitative descriptive analysis. Data analysis used were Classic Assumption Test, Multiple Linear Regression, Correlation Coefficient, Determination, F-test and t-test object on RMW at Pematangsiantar city. Finding of research and results of the study can be summarized as follows: 1). The results of the multiple linear regression analysis test are that the GRDP and RWP had a positive effect on the RMW of Pematangsiantar City, 2). The results of the correlation coefficient indicate that the GRDP and RWP of Pematangsiantar City on its RMW were at a very strong level, while the coefficient of determination of 67.5% at high or low of the minimum wages can be explained by the GRDP and RWP, while the remaining of 32.5% was influenced by other factors which were not included in this study, 3). Hypothesis Test for F-test indicates that the GRDP and RWP influences significantly on Pematang city’s RMW, and for the t- test indicates that the GRDP and RWP had a positive and significant effect on the RMW in Pematangsiantar City from 2005 to 2018. This means that as the GRDP increases, the value of setting Pematangsiantar City's minimum wage in the following year will also increase, and vice versa. The increase of laborers/workers demands will affect the standard of regioanalwages that will be determined, this happens because wages will always adjust to the labor market demand. The stipulation of the minimum wage, it has an impact on GRDP in Pematangsiantar City, because the consumptive rate will be carried out in the place where it gets paid.
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Febriansyah, Febriansyah, and Gustaf Gautama. "Analisis Pengaruh Pembangunan Infrastruktur Transportasi Terhadap Produk Domestik Regional Bruto Kabupaten Way Kanan Provinsi Lampung." Jurnal Manajemen Strategi dan Aplikasi Bisnis 4, no. 2 (January 4, 2022): 508–18. http://dx.doi.org/10.36407/jmsab.v4i2.422.
Анотація:
The availability of inadequate and quality transportation infrastructure positively affects a region's gross domestic product (GRDP) to below. This study aims to analyze the influence of transportation infrastructure development, namely road infrastructure, seaport infrastructure and airport infrastructure on Way Kanan District GRDP. The research method used in this study is a quantitative method. The results of multiple regression calculations show that 1) the road infrastructure has a significant number of 0.010 below 0.05; meaning that the independent variable has a substantial effect on GRDP. 2) seaport infrastructure, the considerable amount is 0.309 above 0.05; saying that these variables have not significantly affected gross regional domestic products. 3) Airport infrastructure, a significant number of 0.093 above 0.05; it means that the variable has not changed the GRDP. While the contribution of the research is a reference in development policies, especially the development of transportation infrastructure to increase the GRDP of Way Kanan District.
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Hendri Saldi, Afdhal, Zulgani Zulgani, and Nurhayani Nurhayani. "Analisis pengaruh PDRB dan jumlah penduduk terhadap Pendapatan Asli Daerah Kabupaten Kerinci." e-Jurnal Perspektif Ekonomi dan Pembangunan Daerah 10, no. 3 (October 8, 2021): 201–10. http://dx.doi.org/10.22437/pdpd.v10i3.16260.
Анотація:
This study aims to analyze the effect of GRDP and population on Regional Original Income (PAD). The analytical method used is multiple linear regression with Ordinary Least Square (OLS) 2006-2020. The results of this study indicate that the development of Regional Original Income (PAD) in Kerinci Regency has increased except for 2009, 2012, 2017, and 2019 with an average PAD of Rp. Forty-seven thousand two hundred twenty million per year, the development of GRDP in Kerinci Regency has increased continuously except in 2008 with an average GRDP of Rp. 5,907.25 billion per year, and the average population growth in Kerinci Regency is 245,932 people per year. As well as the results of the analysis of factors that affect original regional income in Kerinci Regency, simultaneously the GRDP and population variables have a significant effect on Regional Original Income and partially GRDP is having a considerable impact number of residents has no substantial effect. Keywords: PDRB, Population, PAD
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Habibullah, Habibullah, Syamsurijal Tan, and Dearmi Artis. "Pengaruh investasi dan tenaga kerja terhadap PDRB sektor pertambangan di Kabupaten Bungo." e-Journal Perdagangan Industri dan Moneter 6, no. 3 (September 1, 2018): 157–66. http://dx.doi.org/10.22437/pim.v6i3.8971.
Анотація:
This study aims to determine the development and contribution of investment, labor, and GRDP in the mining sector of Bungo Regency and the effect of investment and work on the GRDP of the mining sector in Bungo Regency. The analytical method used is multiple linear regression with Ordinary Least Square (OLS). The results of this study indicate that, during the period 2008-2017, investment, labor, and GRDP of the mining sector in Bungo Regency experienced fluctuating developments, with an average GRDP of the mining sector 12.7 percent, investment of 29.8 percent per year, and 2,6 percent of the workforce. The investment contribution to the mining sector has an average annual rate of 45.2 percent. The regression results show that the independent variables simultaneously affect investment and labor on the dependent variable. Meanwhile, partially the workforce impacts GRDP while acquisition does not occur during the period 2008-2017. Keywords : Investment, Labor, GDP mining sector
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Setyanto, Alief Rakhman, and Raizki Rienaldi Pramasha. "Does green gross regional domestic product accommodate environmental quality and the public's welfare?" Journal of Economics Research and Policy Studies 3, no. 2 (August 30, 2023): 109–15. http://dx.doi.org/10.53088/jerps.v3i2.752.
Анотація:
The economic theory of development developed from gross domestic product to observe the development of a sustainable needed connection between environmental quality and welfare society. This research aims to review the green GRDP picture to accommodate ecological quality and the welfare of society. This research uses a descriptive method with secondary data sources from a literature study. It analyzes it in-depth about Green GRDP, which previously used Brown GRDP as a basis for analyzing regional economic growth in Lampung Province. The research results obtained at the level of green GRDP growth have had high economic consequences on the agriculture and plantations sector since environmental constraints corrected them. However, a quality environment can fulfill hope for society for a more decent life. Recommendations that can be given in this study are related to the implementation of green GRDP, potentially accommodating the well-being acquired by society from the agricultural sector and plantations to increase regional economic growth in Lampung Province.
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Palokoto, Tarina, Evi Yulia Purwanti, and Y. Bagio Mudakir. "Analisis Konsekuensi Ekonomi Akibat Kejahatan di Indonesia." Jurnal Ekonomi dan Pembangunan Indonesia 20, no. 2 (June 2, 2020): 146–59. http://dx.doi.org/10.21002/jepi.v20i2.1176.
Анотація:
Crime affects people’s decisions in carrying out economic activity. This study aims to analyze the influence of several crime typologies and non-crime variables on per capita Gross Regional Domestic Product (GRDP) and identify the existence of spatial dependencies of per capita GRDP in Indonesia. The study used cross section data with the Spatial Lag Model (SLM). The results show that there is a negative spatial autocorrelation in per capita GRDP. Murder and labor affect GRDP per capita negatively. Meanwhile, fraud, embezzlement, and corruption; local government expenditure, life expectancy, domestic investment, and foreign investment affect per capita GRDP positively per capita GRDP. ------------------------------------- Kejahatan memengaruhi keputusan masyarakat melakukan kegiatan ekonomi. Penelitian ini bertujuan menganalisis pengaruh dari beberapa tipologi kejahatan dan variabel nonkejahatan terhadap Produk Domestik Regional Bruto (PDRB) per kapita serta mengidentifikasi adanya dependensi spasial dari PDRB per kapita di Indonesia. Penelitian ini menggunakan data cross section dengan Spatial Lag Model (SLM). Hasil penelitian menunjukkan terdapat autokorelasi spasial negatif pada PDRB per kapita. Kejahatan pembunuhan dan tenaga kerja memengaruhi PDRB per kapita secara negatif dan signifikan. Sementara itu, variabel kejahatan penipuan/perbuatan curang, penggelapan, dan korupsi; pengeluaran pemerintah daerah, angka harapan hidup, Penanaman Modal Dalam Negeri (PMDN), serta Penanaman Modal Asing (PMA) berpengaruh positif dan signifikan terhadap PDRB per kapita.
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Harto, Pebri, Intiyas Utami, and Rulyanti Susi Wardhani. "Derajat Otonomi Fiskal Daerah Kabupaten Bangka Barat." Owner 6, no. 4 (October 1, 2022): 3804–14. http://dx.doi.org/10.33395/owner.v6i4.1165.
Анотація:
This study aims to determine and analyze the Degree of Autonomy/Fiscal Independence in West Bangka Regency and analyze how big the correlation between GRDP and PAD is in West Bangka Regency. This study uses a quantitative approach with data analysis methods and hypothesis testing using panel data regression analysis. The data used in this research is the Regional Finance data of West Bangka Regency and the GRDP of West Bangka Regency in 2011 - 2020. The results of the study show that the value of the Degree of Fiscal Autonomy (DOF) of West Bangka Regency in the period 2011 to 2020 with the category " very less” but despite having a relatively small PAD, the GRDP of West Bangka Regency has always experienced growth, especially in the Manufacturing Sector, namely the tin processing industry. Based on the results of the analysis, the correlation value between GRDP and PAD is negative, meaning that the relationship between the two variables is not in the same direction, thus it can be interpreted that although PAD increases, GRDP has decreased. This is due to the fact that GRDP is dominated by the manufacturing sector which has no effect on local revenue. Because the processing sector is controlled by BUMN, namely PT. Timah Tbk.