Gross Regional Domestic Product Research Articles

ANALISIS STRATEGI APARATUR DINAS LINGKUNGAN HIDUP DAN PERTANAHAN DALAM PENGELOLAAN SAMPAH DI KABUPATEN TAKALAR

This research aims to find out and analyze the strategies implemented by the Environment and Land Service apparatus in managing waste in Takalar Regency. The waste problem in various regions in Indonesia is a very urgent matter that needs attention from officials in each regional government because it is closely related to public health and healthy environmental conditions. This research uses a qualitative descriptive approach method, and the data is analyzed using the SWOT technique. Data collection was carried out by combining observation techniques, in-depth interviews with informants (Heads of Departments, Heads of Divisions, implementing officers in the field, and the general public), as well as documentation data. The findings obtained in this research are that the strategies implemented by the Environment and Land Service apparatus have been working well, although they still require various improvements and attention from the relevant apparatus. This strategy, which has not yet been effective, should receive more serious attention in the waste management process because it has the potential to create new jobs, as well as contribute more to increasing the Gross Regional Domestic Product (GRDP) of Takalar Regency. To improve waste management in Takalar Regency, increase the number of PDUs, TPS3R, and community-based waste banks as well as carry out outreach and create the "SALINTAK" application. Keywords: Strategy Management, Waste Management, SWOT Analysis

Alternative Solutions to Increase Pension Security Participation in Indonesia

This study aims to analyze alternative solutions to increase the number of pension security participation in Indonesia. The analysis method used in this study is Panel Data Regression. The data used in the panel data analysis are Number of Pension Security Participants, Human Development Index (HDI), Gross Regional Domestic Product (GRDP), Open Unemployment Rate (TPT), Information and Communication Technology Development Index (IPTIK), Young age (15-24) who are not in school, working or training (NEET), Proportion of Average Hourly Wages to Provincial Minimum Wage (Wages), Gini Ratio, Labor Force Participation Rate (TPAK) from 2017-2022 in 33 Provinces in Indonesia. The results of panel data processing, the best model is the Fixed Effect Model with regression results showing that only GRDP variables have a significant positive influence. While the Wage variable has a significant negative effect and the IPM, TPT, IPTIK, NEET, Gini Ratio, TPAK variables have no influence on the Number of Pension Security Participants.

Environmental and Economic Clustering of Indonesian Provinces: Insights from K-Means Analysis

Indonesia's archipelago presents a distinctive opportunity for targeted sustainable development due to its complex interplay of economic advancement and environmental challenges. To better understand this dynamic and identify potential areas for focused intervention, this study applied K-means clustering to 2022 data on the Air Quality Index (AQI), electricity consumption, and Gross Regional Domestic Product (GRDP). The analysis aimed to delineate the provinces into three distinct clusters, providing a clearer picture of the varying levels of economic development and environmental impact across the nation's diverse islands. Each cluster reflects specific environmental and economic dynamics, suggesting tailored policy interventions. The results show that for provinces in Cluster 1, which exhibit moderate environmental quality and lower economic activity, the introduction of sustainable agricultural enhancements, eco-tourism, and renewable energy initiatives is recommended. Cluster 2, marked by higher economic outputs and moderate environmental conditions, would benefit from the implementation of smart urban planning, stricter environmental controls, and the adoption of clean technologies. Finally, Cluster 3, which includes highly urbanized areas with robust economic growth, requires expanded green infrastructure, improved sustainable urban practices, and enhanced public transportation systems. These recommendations aim to foster balanced economic growth while preserving environmental integrity across Indonesia’s diverse landscapes.

ANALYSIS OF THE INFLUENCE OF UNEMPLOYMENT VARIABLES ON ECONOMIC GROWTH IN CENTRAL KALIMANTAN USING THE ERROR CORRECTION MODEL (ECM) APPROACH

The objective of this study is to examine the impact of unemployment variables on Gross Regional Domestic Product (GRDP) by employing the Error Correction Model methodology. This research is conducted in Central Kalimantan from 2012 to 2023. According to the cointegration testing findings using the ECM approach, the probability of the unemployment variable is 0.3788, which is greater than the significance level of 0.05. There is a lack of cointegration or long-term balance relationship between the variables, which means that testing cannot be conducted over an extended period of time. The ECM test findings indicate that there is no significant short-term impact of the unemployment variable on GRDP in Central Kalimantan. This is supported by the probability value of the unemployment variable, which is 0.2660, above the threshold of 0.05. According to the classical assumption test, there are no signs of autocorrelation in the research model. Additionally, the Jarque Berra probability value of 0.764092 is greater than 0.05, indicating that there are no signs of heteroscedasticity. Therefore, the research model can be considered normally distributed.

Understanding the mediating role of perceived risk in the relationship between price, product quality, and copra repurchase intention in North Maluku province

This study aims to examine the relationship between perceived risk, price, and product quality as it pertains to the intention to repurchase copra in North Maluku Province. Coconut meat, commonly known as copra, is the raw material for making crude coconut oil. Apart from being a superior commodity and contributing greatly to the Gross Regional Domestic Product (GRDP) of North Maluku Province from the agricultural sector, this product has experienced a decline in purchases since 2022 until now. We used a quantitative method based on SEM analysis, with a sample size of 120 respondents. The primary data collection technique used was a questionnaire. While this study did find a significant relationship between product quality and perceived risk and between perceived risk and repurchase intention, it did not find a significant relationship between price and repurchase intention or product quality and repurchase intention directly. Concurrently, there is full mediation in the indirect influence of product quality on repurchase intention; that is, perceived risk is a key component of the relationship between product quality and repurchase intention. If buyers feel that there is a low risk associated with product quality, they will be more likely to consider repeat purchases. Perceived risk can include financial, operational, and reputational risks associated with poor-quality products.

Assessment of Climate Change-Induced Water Scarcity Risk by Using a Coupled System Dynamics and Bayesian Network Modeling Approaches

AbstractThe water scarcity risk induced by climate change is contributing to a sequence of hydrological and socioeconomic impacts. Certain numbers of related impacts are locked in already and are expected to be much greater in the future. So, there is still a lack of understanding of its dynamics, origin, propagation, and the mutual interaction of its drivers. In recent years, several model-based approaches have been introduced to tackle the complexity, dynamics, and uncertainty of water scarcity specifically. However, the coupled modeling while addressing different aspects of the risk of water scarcity under the climate change scenarios has been rarely done. For bridging this gap, in this research, the combination of complementary System Dynamics modeling and Bayesian Network was applied to Qazvin Plain in Iran with five AOGCM models under two Shared Socioeconomic Pathways (SSP) scenarios (126 and 585). Key findings of this research show: 1) Baseline risk assessment indicates a low probability of water scarcity; however, in the future 30-year time horizon with continuous change in hazard, vulnerability, and exposure for SSP126, the risk fell in the extreme category with an average probability of 41%. Under SSP585, the risk varies between extreme and high categories with an average probability of 47%. 2) Economic development, particularly regional gross domestic product (RGDP) in 2045–2054 in SSP585 can diminish the negative projected consequences of climate change and therefore investments in adaptation policies could offset negative consequences, highlighting the role of economic growth in climate resilience. 3) It is projected that crop yield and income will receive the largest negative effects due to cutting back the agriculture area. 4) Considering the interplay of climate change, economic development, and water extraction policies is essential for the design, operation, and management of water-related activities. The proposed integrated methodology provides a comprehensive framework for understanding climate change-induced water scarcity risks, their drivers, and potential consequences. This approach facilitates adaptive decision-making to address the evolving challenges posed by climate change.

Perkembangan Nilai Tukar Petani (NTP) Jawa Barat dan Korelasinya dengan Tenaga Kerja, Inflasi, dan Produk Domestik Regional Bruto (PDRB) Sektor Pertanian Jawa Barat

This research aims to identify the developments of Farmer Exchange Rate (FER) in the West Java Agricultural Sector in the period 2000-2022. This paper analyzes the extent of the correlation between Agricultural Sector Labor, the Inflation Rate variables, and the Gross Regional Domestic Product (GRDP) of Agricultural Sector on the FER in the in West Java. The correlation identification between these variables was analyzed through Pearson’s Product Moment Correlation analysis based on West Java FER. The FER data is obtained from the Farmer Exchange Rate Statistics published by the Central Statistics Agency (BPS). The research results show: a) There are variations in the FER value during the period 2005-2022 with an average of 103.99; b) The West Java Agricultural Sector Labor variable has a moderate positive linear correlation with West Java's FER; c) The West Java Agricultural Sector variable GRDP has weak negative linear correlation with West Java's FER; and d) The West Java inflation variable has a weak positive linear correlation with West Java's FER.

Determinants of Local Revenue in West Nusa Tenggara Province

The economic growth of a region can be seen from the contribution of increasing regional original income originating from sources of taxes, regional levies, regional property and other separated regional wealth management results, and other legitimate regional revenues. The Province of West Nusa Tenggara in the last few decades has shown a significant increase in local revenue. In this study, the impact of population, inflation, and Gross Regional Domestic Product (GRDP) on local revenue from 2010 to 2021 is explored. The Generalized Method of Moments (GMM) technique uses district or city annual data in a quantitative panel data regression model for the study. According to the findings of statistical studies, local own-source revenue is significantly positively affected by government spending, population, and gross regional product (GDP), but inflation-related price increases have a negligible impact on local revenue. The money supply determines the rate of inflation, the high rate of inflation is caused by the amount of money in circulation.

Determinan Tingkat Kemiskinan Di Indonesia

Poverty is a problem in the development process in most countries, especially in developing countries such as Indonesia. Analyzing the factors that influence poverty is important in formulating effective and targeted policies. This study aims to analyze the independent variables of village funds, unemployment rate, human development index (HDI), and gross regional domestic product (GRDP) affecting the dependent variable of the number of poor people in Indonesia in 2022. The study used the Ordinary Least Square (OLS) model to analyze cross-section data from 34 provinces in Indonesia in 2022. The results show that village funds and GRDP have a significant positive influence on the number of poor people, but HDI and unemployment rate do not have a significant influence. The findings make a significant contribution to understanding the factors that contribute to the poverty rate in Indonesia, as well as providing a basis for formulating more effective development policies to reduce the poverty rate in the future.

Analysis of the Capability, Effectiveness, and Independence of Regional Financial on Gross Regional Domestic Products and Poverty in East Kalimantan

The purpose of this research is to examine and identify the direct impact of regional financial capacity, efficiency, and autonomy on the gross regional domestic product in East Kalimantan. Analyze the immediate impact of the region's financial capacity, efficacy, and independence on poverty in East Kalimantan. Examine the direct impact of the gross regional domestic product on poverty rates in East Kalimantan. analyze and evaluate how East Kalimantan's gross regional domestic product mediates the indirect effects of a region's financial capacity, effectiveness, and independence on poverty. This study employs a descriptive correlational design with a cross-sectional method. Panel data were collected from ten districts and cities between 2018 and 2022 using a time series approach. Methods for gathering data through the evaluation of literary works. Data analysis using route analysis, which incorporates multiple linear regression, in the context of economic modeling. The study's findings indicate that the region's financial capabilities have a direct and considerable impact on the Gross Regional Domestic Product (GRDP) in East Kalimantan. On the other hand, the impact of regional financial effectiveness on GRDP in East Kalimantan is both positive and statistically insignificant. Similarly, regional financial independence has a direct but statistically minor impact on East Kalimantan's Gross Regional Domestic Product (GRDP). The number of financial resources and the effectiveness of financial operations at the regional level have a direct and considerable impact on poverty rates in East Kalimantan. In contrast, establishing financial independence in a specific area has a big and detrimental impact on poverty in East Kalimantan. The Gross Regional Domestic Product (GRDP) has a substantial impact on poverty levels in East Kalimantan. The competence, effectiveness, and independence of regional finances have an impact on the Gross Regional Domestic Product, which in turn affects the relationship between regional finances and poverty in East Kalimantan.

REGIONAL AND INTRA-REGIONAL ECONOMIC ANALYSIS OF MUSI RAWAS UTARA DISTRICT AS AN OIL PALM PRODUCING REGION IN SUMATRA SELATAN PROVINCE

This research aimed to identify the key economic sectors that could uplift Musi Rawas Utara Regency from its underdeveloped status within Sumatra Selatan Province. The study employed a descriptive-analytical approach, which included analyzing primary sectors using the Location Quotient (LQ) method, determining leading sectors through Shift Share analysis, and assessing the contribution of the primary highest-value industry using Intra-Regional analysis. Among the 17 sectors contributing to the Gross Regional Domestic Product (GRDP), five were identified as primary sectors in Musi Rawas Utara Regency, with a significant dominance of the Agriculture, Forestry, and Fisheries sectors. However, Shift Share analysis revealed two leading sectors: education and health services with social activities. We identified seven potential sectors: industrial, infrastructure, and developing sectors. Developing sectors include agriculture, forestry, fisheries, mining and quarrying, and education. Meanwhile, five sectors were considered underdeveloped: the processing industry, construction, transportation and trade, financial services and insurance, government administration, defense, and taxpayer social security. LQ analysis emphasized that the agricultural and forestry sector is the primary sector in Musi Rawas Utara Regency, with palm oil production being a vital contributor. For the development of palm oil, Nibung and Karang Dapo districts require particular attention. Given Musi Rawas Utara Regency's disadvantaged status, optimizing agricultural sector development is crucial. By focusing on this sector, the region can enhance its economic performance, ultimately aiming to overcome its underdeveloped status and improve its financial outlook.

IMPLEMENTASI FUZZY MAMDANI DALAM KLASIFIKASI WILAYAH DI PROVINSI JAWA BARAT BERDASARKAN PRODUK DOMESTIK REGIONAL BRUTO

Gross Regional Domestic Product (GRDP) is an important indicator for measuring the economic condition of a province, district or city. In general, the economy in West Java in 2022 will experience growth of 4.61%. The economic growth of each region in West Java is of course different. This study aims to determine the classification of regions in West Java based on GRDP per capita at constant prices by district/city in 2022 and data on the growth rate of GRDP on the basis of constant prices by district/city in 2022 using Fuzzy Mamdani. The results showed that there were 6 regions which were developed region group. These areas include Purwakarta Regency, Karawang Regency, Bekasi Regency, Bandung City, Cirebon City, and Cimahi City. There were 5 regions which were underdeveloped region group. These areas include Tasikmalaya Regency, Subang Regency, Cirebon Regency, Indramayu Regency, and Banjar City. Other areas were developing regions group. These areas include Bogor Regency, Sukabumi Regency, Cianjur Regency, Bandung Regency, Garut Regency, West Bandung Regency, Pangandaran Regency, Ciamis Regency, Kuningan Regency, Majalengka Regency, Sumedang Regency, Bogor City, Sukabumi City, Bekasi City, Kota Depok, and Tasikmalaya City.

MODELING FACTORS AFFECTING EDUCATED UNEMPLOYMENT ON JAVA ISLAND USING GEOGRAPHICALLY WEIGHTED POISSON REGRESSION MODEL

The eighth goal of the SDGs, which aim to promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all, addresses the problem of unemployment. Indonesia, the fourth-largest country in the world, keeps on dealing with unemployment and its negative consequences. Three provinces on the island of Java have higher unemployment rates for educated people than any other provinces. The purpose of this study is to examine the variables affecting educated unemployment in Java. This study uses cross-sectional data published from BPS-Statistics Indonesia website and the Indonesia Investment Coordinating Board (BKPM) for 119 regencies/cities across six provinces on Java Island in 2021. The predictor variables are Gross Regional Domestic Product (GRDP), investment, labor force participation rate, mean years of schooling, regency/city minimum wage, and inflation. The number of working-age population is used as an exposure measure. Four models were used to analyze the factors affecting educated unemployment on Java Island: Poisson regression model and Geographically Weighted Poisson Regression (GWPR) model, both with and without an exposure. Based on the smallest AIC/AICc, the best model is the GWPR model with an exposure. This model creates 11 groups of locations based on the same predictor variables that significantly affect educated unemployment

Impact of economic growth, village funds, and poverty on human development in Indonesia: An analytical study from 2015 to 2022

This study evaluates how a country's development of human resources, an important measure of economic and policy progress, is affected by various factors. It focuses on the impact of Gross Regional Domestic Product (GRDP), village funds, and poverty levels on the Human Development Index (HDI) across 33 provinces in Indonesia from 2015 to 2022. The aim is to enhance understanding of how promoting human development goes beyond just economic growth, highlighting the importance of addressing poverty and empowering local communities through measures like the Village Fund. By employing panel regression methods, including both static (POLS, FEM, and REM) and dynamic (FMOLS and DOLS) approaches, the study examines the influence of economic growth, village funds, and poverty on human development. The findings from static panel analysis indicate that while economic growth has a negative and significant effect on HDI, village funds positively and significantly influence it. As expected, poverty significantly and negatively affects HDI. Dynamic panel data confirms the positive and significant effect of village funds on HDI and, consistent with static analysis, shows poverty's negative impact. The implications of this research are threefold: First, it suggests that economic expansion might negatively affect HDI. Second, it highlights the importance of village funds in developing human resources, underscoring their role in provincial development financing strategies. Third, it recommends that provincial policymakers focus on reducing poverty to prevent it from hindering human development.

The effect of economic growth and poverty on stunting in Indonesia

Stunting is a critical issue affecting children under five years old, characterized by inadequate growth due to chronic malnutrition and recurrent infections, especially during the crucial first 1,000 days of life (from age 0 to 23 months). Stunting impacts not only height but also vital functions such as brain development and the immune system, potentially leading to decreased intelligence levels and increased susceptibility to diseases later in life. This study examines the impact of the growth of the Gross Regional Domestic Product (GRDP) in the primary, secondary, and tertiary sectors and the level of rural poverty on stunting in Indonesia. This research, which covers time series data from 2015-2020 across 32 provinces in Indonesia, employs a panel data regression model analysis method. The findings indicate that primary sector GRDP growth has a positive effect, whereas secondary sector GRDP negatively impacts stunting. However, the tertiary sector GRDP and rural poverty do not significantly affect stunting rates in Indonesia.

Analisis Faktor-Faktor yang Mempengaruhi Penyerapan Tenaga Kerja di Kota Jambi

This study aims for analyzing the influence of the average length of study at school , minimum wage , number of company , Gross Regional Domestic Product (GRDP) and Domestic Investment (DI) on the absorption of labor in Jambi City. The data used in this study is secondary data in coherent time from 2000 to 2021 derived from Institute of Statistics Centre (ISC). Method analysis used in this research is analysis of quantitative multiple linear regression . The result study shows that the average length of schooling is positively influenced and leads to negative significant to absorption of labor. The minimum wage is positively and significantly influenced and to absorption of labor. Domestic Invesyment (ID) is positively and significantly influenced to absorption of labor.Gross Regional Domestic Product (GRDP) and numner of company have no influence to absorption of labor.

Effect of Infrastructure Development on the Rate GDRP in Daerah Istimewa Yogyakarta Province in 2012-2022

Economic growth is an indicator of the success of a country's development. On a regional scale, economic growth parameters can be seen from the growth of Gross Regional Domestic Product (GRDP) per capita. DIY Province is one of Indonesia's provinces designated as a National Tourism Strategic Area (KSPN) by the Ministry of Tourism. Daerah Istimewa Yogyakarta (DIY) is a tourist destination with high economic productivity. This, of course, must be supported by the availability of adequate infrastructure. Therefore, this research aims to determine the effect of road, electricity, and water infrastructure development on GRDP rates in DIY Province. The data that has been obtained is analyzed using multiple linear regression. The results of this research show that the development of road infrastructure and electricity significantly influences the rate of GRDP in DIY Province. Meanwhile, the development of clean water infrastructure does not significantly affect the rate of GRDP.

The Effect Of Population Size And Number Of Motor Vehicles On Local Tax Revenue With GRDP As A Moderating Variable

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.

Factors Affecting The Local Taxes Revenue By Provincial Governments In Indonesia

This study aims to investigate the influence of regional gross domestic product (GDP), population size, and the poverty rate on the local tax revenues of Indonesian provincial governments. Secondary data from the publications of the Central Statistics Agency (Badan Pusat Statistik) covering a 5-year period from 2016 to 2020 were utilized for this research. The study focuses on 34 provinces in Indonesia. The research employs panel data regression with the panel-generalized least squares model. The findings indicate that regional GDP has a positive and significant impact on the local tax revenues of provincial governments. An increase in the population size also positively and significantly affects the local tax revenues. Conversely, a rise in the percentage of the population living in poverty has a negative and significant effect on local tax revenues of provincial governments. The simultaneous influence of regional GDP, population size, and the poverty rate on local tax revenues is also significant. To promote higher local tax revenues, the government should encourage economic growth in the regions and invest in enhancing the quality of human resources. This approach would lead to increased regional GDP and population, thereby boosting local tax revenues. Furthermore, efforts to reduce poverty levels would raise consumption and income among the population, ultimately contributing to increased local tax revenues.

Pengaruh covid-19 dan PMA terhadap PDRB Kabupaten/Kota di Provinsi Riau

This research of study aims to analyze the effect of Covid-19 and Foreign Investment on the value of the Regency/City Gross Regional Domestic Product (GRDP) in Riau Province in 2017－2021. This study uses quantitative research methods with panel data analysis methods and processed using Eviews 10. The dependent variable used is Gross Regional Domestic Product in 11 Regency/Cities in Riau Province. The independent variables used in this research are the value of Foreign Investment and Covid-19 using dummy numbers. The results indicate that foreign investment has a positive but not significant effect on the GRDP of Regency/city in Riau Province. Meanwhile, the dummy variable of Covid-19 has a positive yet significant effect on Regency/City GRDP in Riau Province.