Gross Regional Domestic Product Research Articles

The Effect of Perceived Quality, Brand Experience and Perceived Risk on the Repurchase Intention of McDonald's Products in Kediri City

This study aims to determine how the influence of perceived quality, brand experience and repurchase intention on repurchase interest in McDonald's products in Kediri City, which is ranked the second most popular fast food restaurant in Indonesia. McDonald's is also one of the pioneers of fast food business in Kediri City where the city is among the richest cities in Indonesia that has successfully recorded the highest Gross Regional Domestic Product (GDP) per capita in Indonesia. This research is a quantitative research with 105 respondents. The sampling technique in this study is non-probability sampling with purposive sampling and data analysis techniques using multiple linear regression. Data analysis was carried out using descriptive statistics with SPSS software version 24. The results showed that perceived quality had a partial significant effect on repurchase intention. Brand experience has a partial significant effect on repurchase intention. Perceived risk has a partial significant effect on repurchase intention. And perceived quality, brand experience and perceived risk have a significant effect simultaneously on repurchase intention.

The Role of Basic Infrastructure to Strengthen Economic Security in Eastern Indonesia

This study aims to analyze the role of water infrastructure in supporting the development of leading commodities in Maluku and Papua, Indonesia. The 2020 Gross Regional Domestic Product (GRDP) dataset will be analyzed using the Location Quotient (LQ) technique to determine the leading sectors/base commodities with comparative advantages in the Maluku and Papua Provinces. Based on the Location Quotient (LQ) analysis results, it will be combined with a spatial approach to provide an overview of water resources and infrastructure. The results of this study show that water resource infrastructure is related to the housing settlement sector and agricultural commodities in Maluku and Papua. Increasing agricultural productivity has positive implications for Indonesia's food and economic security. Investment in water infrastructure development is needed to support leading sectors.

Analisis Sektor Unggulan yang Ada di Kabupaten Mojokerto Jawa Timur

This study aims to determine the leading sectors and sectors that must be prioritized in Mojokerto Regency. This study uses secondary data from Gross Regional Domestic Product (GRDP) of Mojokerto Regency and East Java Province in 2015-2016. The analytical tools used in this study are: 1). Location Quotient Analysis (LQ), 2) Dynamiq Location Quotient Analysis (DLQ), 3) Shift-Share Analysis and 4) Klassen Typology. The results of the analysis by sector shows that the sector which is the leading sector in Mojokerto Regency with criteria classified as the base and competitive sector is the manufacturing sector. For the sectors that must be prioritized in Mojokerto Regency are the manufacturing and real estate sectors.

The Influence of MSMEs on Economic Growth in Jayapura City

The research was conducted in Jayapura City by utilizing quantitative methods. In this study using time series data. Time series data is data that is organized based on the time sequence of events. The time series data includes all MSMEs in 21 sub-districts registered at the Jayapura City Office of Cooperative Trade and Micro Business during 2015-2022. The results showed that the growth of MSMEs in Jayapura City played an important role in the economic growth of Jayapura district / city by increasing the Gross Regional Domestic Product (GRDP). The effect of MSMEs on economic growth, showing the results of the tcount value of the variable number of MSMEs on GRDP of -8.9259 with a probability value of 0.000. Because the probability value is smaller than 0.05, it can be concluded that the growth in the number of MSMEs is significant in influencing the growth of GRDP in Jayapura city. The negative regression coefficient shows that the growth in the number of MSMEs is inversely proportional to the growth of GRDP in Jayapura city. When the number of MSMEs has decreased since 2021, the GRDP of Jayapura city has actually continued to increase.

The impact of strategic infrastructure development of Bali on the economic growth

Bali is the most famous tourist destination in the world, and this popularity has led to a significant rise in the island’s economy. The rise in income has also driven an increase in demand for infrastructure. Moreover, the Bali regional competitiveness index, in the infrastructure pillar, shows a lower figure compared to the national level. So that the Bali Provincial Government focuses on building an infrastructure strategy. This research uses the Input-Output Table (IOT) model, namely the 2016 Bali Province IOT which will be released in 2021. This analysis was chosen because IOT assumes that one sector can be an input for other sectors, in terms of this this is the construction sector. With investment in strategic and monumental infrastructure marking the New Era of Bali, it will result in additional Gross Regional Domestic Product (GRDP) of IDR 18.7 trillion, or in other words Bali’s GRDP will increase by 9.71% from the condition of no investment. This shows that infrastructure development is able to boost Bali’s economy. Further research is needed to be able to qualitatively analyze development infrastructure strategies in Bali. Remembering that a qualitative approach is also important to be able to analyze in depth.

The Role of Information and Communication Technology (ICT) and Tourism on Economic Growth in Indonesia

This study aims toanalyze the influence of ICT and the tourism sector on economic growth in Indonesia from 2015 to 2021 using panel data regression analysis on a total of 238data with the Feasible Generalized Least Square-Seemingly Unrelated Regression (FGLS-SUR) estimation method. The results of the study show that the proportion of individuals who use the internet, the number of fixed broadband subscribers, the room occupancy rate of star hotels, foreign investment, labour, and government spending have a positive and significant effect on economic growth in Indonesia. In this regard, it is hoped that each province will have equal access to the internet and further enhance hotel services, especially for star-rated hotels.The positive impact of this research in Indonesia is that it can help enhance the Gross Regional Domestic Product (GRDP) in each province, thereby influencing overall economic growththrough the fields of ICT and tourism.

Penerapan Model Geographically Weighted Logistic Regression dengan Fungsi Pembobot Adaptive Gaussian Kernel pada Data Kemiskinan

Regression analysis is one statistical method used to determine the relationship between a dependent variable and one or more independent variables. Dependent variables that are categorical are analyzed using logistic regression analysis. Geographically Weighted Logistic Regression (GWLR) is a method that is a local version of logistic regression, where location factors are considered. This method assumes that the dependent variable data are distributed binomially. In this study, the GWLR method is used to determine the factors influencing the poverty percentage in West Java Province in 2022 using an adaptive Gaussian kernel weighting function. The variables used are per capita expenditure, average length of schooling, Gross Regional Domestic Product (GRDP) per capita, and population density. The results of this study indicate that the variables of per capita expenditure, Gross Regional Domestic Product (GRDP) per capita, and population density significantly influence the poverty percentage in West Java Province in 2022.

ROBUST GEOGRAPHICALLY WEIGHTED REGRESSION WITH LEAST ABSOLUTE DEVIATION (LAD) ESTIMATION AND M-ESTIMATION ON GRDP OF WEST JAVA PROVINCE

Geographically Weighted Regression (GWR) is an analytical method for data that contains spatial heterogeneity effects. However, parameter estimation in the GWR model has a weakness, namely it is prone to outliers and can cause the parameter estimation to be biased. This can be overcome by the Robust Geographically Weighted Regression (RGWR) method which is more robust against the presence of outliers. This method is suitable for Gross Regional Domestic Product (GRDP) data in West Java Province, which contains outliers and also has spatial effects. The data used in this study are secondary data obtained from the Central Statistics Agency (BPS) of West Java Province. The purpose of this study is to compare the Robust Geographically Weighted Regression (RGWR) method with the Least Absolute Deviation (LAD) Estimation and M-estimation and also to find out the factors that affect the Gross Regional Domestic Product (GRDP) in West Java Province in 2021 based on the model resulting from. Selection of the best model is seen based on the value of the coefficient of determination (R2) and Mean Squared of Error (MSE). The research results show that the Robust Geographically Weighted Regression (RGWR) method with M-estimation is much more effective in estimating the distribution of GRDP in West Java Province in 2021, seen from the larger coefficient of determination and the smaller Mean Square Error (MSE). The variables that have a significant influence on GRDP in West Java Province in 2021 are the variables of foreign investment and local income.

Analysis of Regional Economic Resilience through Comparative Advantages of Sectoral Growth

The objective of this study is to analyze the economic resilience of regions during the COVID-19 period that affected the Indonesian regional economy. Economic resilience can be identified by examining the development of leading sectors in the regional economy. This study uses secondary data in the form of time series using Gross Regional Domestic Product (GRDP) data obtained from the Central Bureau of Statistics of Batu City, the Central Bureau of Statistics of Malang City, and the Central Bureau of Statistics of Kediri City from 2018 to 2021. All three cities are located in East Java Province, Indonesia. The analysis in this study involves using three methods: Location Quotient, Shift Share, and Klassen typology. The analysis results reveal that Batu City and Malang City show strong competitiveness and comparative advantages. On the other hand, Kediri City demonstrates relatively low competitiveness and comparative advantage, which can be attributed to the impact of the COVID-19 shock. Additionally, research results show that the sectors in Malang City have experienced rapid growth, with all sectors developing faster than in other regions. In contrast, the sectors contributing to Batu and Kediri’s Gross Regional Domestic Product (GRDP) have experienced delayed development. The results of this study confirm that regional economic resilience still exists through the development of sectoral businesses that contribute to the overall value of Gross Regional Domestic Product in various regencies and cities within East Java Province. Keywords: basic sector, resilience, shift share, location quotient, regional economy

MODELING CRIME IN EAST JAVA USING SPATIAL DURBIN MODEL REGRESSION

The high crime rate will create unrest and losses for the community. One of the provinces with high crime rates is East Java. This study aims to analyze the factors that influence criminality in East Java to ensure appropriate crime prevention and control measures can be taken. The factors that potentially influence crime in East Java studied include population density, the number of poor people, unemployment, Human Development Index (HDI), Gross Regional Domestic Product (GRDP), and per Capita Expenditure, which are associated with geographical conditions in each region (regency/city) collected from BPS East Java in 2022. Meanwhile, the number of crimes is collected from the East Java Regional Police. This research uses a statistical method, namely the Spatial Durbin Model (SDM), which is a particular form of the Spatial Autoregressive Model (SAR) method with Queen Contiguity weighting by analyzing geographically (spatial processes). Based on the results of the analysis, it was found that the influential factors were unemployment, HDI, GRDP, and per Capita Expenditure, and the R-square result was obtained at 85.18%. This shows a relationship between spatial accessibility and crime, where unemployment, HDI, GRDP, and per Capita Expenditure in an area can affect regional vulnerability to crime

The Effect of Local Government Characteristics on GRDP in Indonesia during the Pandemic Period

This research aims to analyze the influence of local government characteristics, specifically Gross Regional Domestic Product (GRDP), on Indonesia during the pandemic. Economic growth is a key component of the Sustainable Development Goals (SDGs), as outlined in point eight of the 17 SDG goals. The Covid-19 pandemic has significantly impacted local government administration, leading to a decrease in regional income in some regions of Indonesia. This research employs a quantitative approach, utilizing multiple linear regression analysis for the analysis. The results reveal that the variables of area size and the number of Regional Apparatus Organizations (OPD) do not have a significant impact on economic growth in Indonesia. In contrast, the variable of Regional Original Income (PAD) demonstrates a significant influence on Indonesia’s economic growth. Moreover, when considered simultaneously, the area size, the number of OPD, and PAD collectively exert a significant impact on the economic growth in Indonesia during the pandemic. These findings suggest that local governments should allocate greater efforts and resources to foster economic growth, recognizing it as a crucial element for achieving the SDGs in Indonesia. Keywords: economic growth, local government characteristics, Sustainable Development Goals (SDGs)

Variables Affecting Poverty Rate in East Java, Indonesia

Poverty is one of the fundamental problems faced by various countries, including Indonesia. The objective of this study is to identify the variables that have an effect on poverty rate in East Java Province. Applying panel data and regression analysis method, this study compares the three models – the common effect, fixed effect, and random effect. Using Chow Test and Hausman Test, this study found that the best model is Fixed Effect. The empirical outcomes show that education, unemployment, population, dependency ratio, and health insignificantly affect poverty. Variables of Gross Regional Domestic Product (GRDP) per capita, and per capita expenditure has a significant effect on poverty. The higher per capita expenditure tends to increase the poverty level. Then, the higher GRDP per capita tends to lower the poverty in East Java especially. Keywords: unemployment, per capita expenditure, dependency ratio, poverty

The influence of regional minimum wages on unemployment rates in Indonesia multiple linear regression analysis

Background: This study investigates the influence of regional minimum wages, along with gross domestic product (GDP) and inflation, on unemployment rates in Indonesia from 2012 to 2020. Method: Multiple linear regression analysis is employed to examine the relationships between these economic variables. Findings: The findings reveal that regional minimum wages have a significant negative effect on unemployment rates, indicating that a 1% increase in the minimum wage leads to a 3.951% decrease in unemployment, ceteris paribus. GDP also exhibits a significant negative influence, aligning with Okun's law which suggests an inverse relationship between economic growth and unemployment. In contrast, inflation does not significantly impact unemployment rates during the studied period. Collectively, the three variables positively and significantly affect Indonesia's unemployment rate, with an adjusted R-squared value of 0.749. This implies that 74.9% of the variation in unemployment can be explained by GDP, inflation, and minimum wages, while other factors account for the remaining 25.1%. Conclusion: The study highlights the complex interplay between these macroeconomic indicators and unemployment, providing insights for policymakers to develop effective strategies for managing employment challenges in Indonesia. Novelty/Originality of this study: This empirical analysis reveals the dynamic relationship between regional minimum wages, GDP, inflation, and unemployment in Indonesia (2012-2020). The findings provide an evidence-based basis for formulating more effective and responsive employment and economic policies for Indonesia's labour market conditions.

The Influence of Gross Regional Domestic Product Per Capita and Foreign Direct Investment on Income Inequality: An Empirical Study of 34 Provinces in Indonesia

The study investigates the correlation between Gross Regional Domestic Product (GRDP) per capita, Foreign Direct Investment (FDI), and the Gini coefficient using panel data from 34 provinces in Indonesia from 2015 to 2023. A panel data regression analysis method was employed for data processing to optimize estimation results. The results obtained from the analysis using the Fixed Effects Model (FEM) consistently show strong positive outcomes. The findings imply a direct connection between higher GRDP per capita, increased FDI, and a higher Gini coefficient, suggesting that more significant foreign investment and higher per capita GDP contribute to increased income inequality across the Indonesian provinces. The study emphasizes the critical role of regional governments in addressing these disparities. It suggests strategies such as implementing regional policies to boost investment, enhancing infrastructure, creating more business opportunities, and promoting tourism. The proposal to establish the National Capital City (IKN) in East Kalimantan is presented as a long-term solution to reduce income inequality among the provinces.

Kontribusi perikanan pukat cincin yang berpangkalan di Pelabuhan Perikanan Pantai Tumumpa terhadap PDRB Kota Manado di masa Covid-19

Covid-19 brought their intensive effects in marine fishery subsector in Manado by the end of 2019. The research aimed at finding out how far the effect of purse seine fishery contribute on Gross Regional Domestic Product (GRDP) Manado between before and after Covid-19. Secondary data collected from of BPS Manado dan North Sulawesi in 2018 - 2022, while primary data i.e purse seiner’s catches and its value production from the annual reports of Tumumpa coastal fishing port by direct observation on board. Data was analyzed using Location Quotient (LQ) approach. The result of data analysis showed, there was a declining production during Covid-19 due to a lack of fishing operation activities, having a consequence in fish production value decreasing, because the fish distribution obstruction from the centres of producer to the centres of consumer. Before Covid-19 period, it gained the average catches of 10,7 million tons.yrs-1 (increasing 17,46% yrs-1), with production value of Rp. 159,6 billion yrs-1 (increase 23,23% yrs-1). During Covid-19, average cathes of purse seiner was 11,3 billion tons yrs-1 (decline 8,25% yrs-1) and production value of Rp. 204,3 billion yrs-1 in average (decline of 8,30% yrs-1). Purse seine fishery contribution on GRDP Manado decrease from 0,10% yrs-1 before Covid-19 (2017-2019) to - 0.42% yrs-1 during Covid-19 (2020-2012). During these two periods, (marine) fishery subsector had a LQ < 1, meant that this subsector was really not a basis of the subsector. To fulfill the Manado society consumption on fishes, it is required to supply fishes from other locations. The other side, the business of purse seiner fishery brought an agreeable advantage.

Analysis of MSME Loans on Economic Growth in Central Sulawesi in 2015-2022

The role of small and medium enterprises in Central Sulawesi during 2015-2022 in creating added value continues to increase, thus MSMEs are considered to have a strategic role in helping reduce unemployment and poverty. The first role of MSMEs in the economy of Central Sulawesi is as a means of leveling the economic level of society, especially the lower middle class. The aim of th is research is to analyze the influence of MSME credit on economic growth in Central Sulawesi. This research uses a simple regression method. Based on research results, the increase in Gross Regional Domestic Product (GRDP) and economic growth in Central Sulawesi in 2015-2022 has a significant positive effect on the amount of MSME credit. According to statistical tests the amount of MSME credit contribute significantly by 0,000 or less than the 5% significance level. This shows that the distribution of MSME credit will help MSME players to develop their businesses, increase the number of workers, which will also increase output per business unit and per worker so that it will have an impact on economic growth.

Pemodelan Produk Domestik Regional Bruto (PDRB) di Indonesia Periode 2018-2021 dengan Analisis Regresi Data Panel

High and sustainable economic growth is the main condition or a must for the continuity of economic development and increased welfare. GRDP is defined as the total added value generated by all business units in an area. The analytical method used in this study is panel data regression analysis. Panel data regression is used to observe the relationship between one dependent variable and one or more independent variables. This study aims to determine the panel regression model of Gross Regional Domestic Product (GDP) in Indonesia for the period 2018 to 2021 and to find out whether the domestic investment investment variable and the cooperative business volume variable affect GRDP in Indonesia for the 2018-2021 period. The results obtained in this study are that the best panel regression model for modeling GRDP is the FEM model and the variable Domestic Investment Investment and Cooperative Business Volume are variables that have a significant effect on the GRDP variable in Indonesia for the 2018-2021 period.

The Strategy for Developing an Arabica Coffee Plantation-Based Area in Banyumas Regency

The Gross Regional Domestic Product (GRDP) of Banyumas Regency has increased over the past 5 years, with the largest contributor to the Gross Value Added category being the Agriculture and Forestry sector. Arabica coffee varieties are one of the mainstay commodities in the region and a source of income for the people of Kabupaten Banyumas. The main objective of this research is to develop a strategy in planning the development of arabica coffee plantation area in Kabupaten Banyumas. The research area covers all 29 sub-districts starting from January to April 2024. In looking at the actual distribution of arabica coffee plantations, overlay analysis techniques were used using data from land use maps, elevation maps. Land availability was analyzed through overlay and matching techniques with ArcGIS software and direct measurement. Arabica coffee agribusiness system was analyzed through R/C ratio descriptively. The development strategy of Arabica coffee plantation area in Banyumas Regency was conducted using AWOT analysis. The results showed that the actual distribution of arabica coffee plantations in the cultivation area in Banyumas Regency covers several sub-districts and the area reaches 1,214 ha. Available and suitable land for the development of arabica coffee plantation in the cultivation area is indicated to reach an area of 20,471 ha, of which the largest area is located in Lumbir Sub-district with an area of 3,726 ha or 18.09% of the total available land area.

Dinamika Pembangunan Sumber Daya Manusia (SDM) terhadap Perekonomian dengan Kontribusai Pendapatan Asli Daerah (PAD) sebagai Pemoderasi

The vulnerability of Bali's economy, which only depends on the tourism sector during the Covid-19 pandemic, has given rise to the idea of economic transformation to develop other sectors. In this effort, human development is a key factor as a major economic actor. Human Development Index (HDI) as an indicator of human resource quality is thought to have a positive influence on the economy as seen from Gross Regional Domestic Product (GRDP) at constant prices. Original Local Government Revenue (OLGR) as financial capital is considered capable of strengthening empowerment programs and policies that directly touch the community and downstream can strengthen the economy. The data used is secondary data for the 2013-2022 period obtained from Regencies and Cities in Bali Province (panel data). This research was tested using Econometric Views (Eviews) software (panel data regression). The analysis techniques used include descriptive statistics, panel data model analysis, classical assumption tests, interaction tests or Moderated Regression Analysis (MRA) and hypothesis testing with analysis of the coefficient of determination and t test. The aim of the research is to determine the effect of HDI on GRDP and to find out whether OLGR is able to moderate the influence of HDI on GRDP. The results show that HDI has a significant positive effect on GRDP. This means that increasing HDI will have a positive impact on increasing GDP. OLGR strengthens the positive influence of HDI on GRDP. This means that OLGR is able to strengthen and have an impact on human resource development and ultimately increase GDP growth which is an indicator of regional economic growth. Suggestions that can be given from the results of human resource investment research can be a priority so that regional communities can become the driving force of the regional economy. It is hoped that the use of OLGR for empowerment programs and policies that touch the community can be implemented more optimally so that it can improve the quality of human resources and have an impact on positive economic growth.

Pengaruh Luas Lahan Panen Padi dan Tenaga Kerja Sektor Pertanian terhadap Produksi Padi di Provinsi Jambi

This research aims to determine the influence of rice harvest area and agricultural sector workforce on rice production in Jambi Province. The type of data collected is secondary data sourced from Jambi in the Jambi Province Central Statistics Agency (CSA) figures in the form of Gross Regional Domestic Product (GRDP) in the agricultural sector of Jambi Province. The research results show that the area of rice harvested land has a significant and positive effect, while agricultural sector labor does not have a significant and negative effect on rice production during the 2010-2022 period.