Gross Regional Domestic Product Research Articles

Tourism Development Impact on Economic Growth and Poverty Alleviation in West Java

Poverty alleviation is on the agenda of regional development in West Java. One of the priority sectors is tourism development, which supports inclusive economic growth and is expected to address poverty. Through various unit analyses, the study analyzed how tourism development in West Java impacts economic growth and poverty alleviation. These included indicators such as the number of tourist visits, hotel room occupancy rate, the number of hotels and restaurants, average length of stay, and the tourism sector's contribution to Original Local Government Revenue (PAD). Economic growth was assessed using indicators such as Gross Regional Domestic Product (GRDP), unemployment rate, Gini Index, and regional investment value. In contrast, the poverty variable used the percentage and number of people living in poverty, poverty line statistics, Poverty Depth Index, and Poverty Severity Index. Inferential statistical analysis, specifically Partial Least Square (PLS), was conducted using a quantitative approach and data from BPS - Statistics of West Java. Hypotheses were formulated based on the literature review, asserting that tourism development significantly and positively impacted economic growth and poverty alleviation in West Java. Results showed that tourism development significantly boosted economic performance, directly influencing economic growth. Additionally, high economic growth correlated with reduced poverty rates, highlighting the importance of inclusive growth for alleviation. Key indicators played crucial roles in poverty alleviation, including the number of hotels and restaurants, the tourism sector's contribution to regional revenue, GRDP, and regional investment value. These findings provided valuable insights for policymakers and stakeholders to develop effective strategies for leveraging tourism potential to promote inclusive economic growth and alleviate poverty in West Java.

Environmental factors influencing the development and spread of resistance in erythromycin-resistant streptococcus pneumoniae.

Bacterial drug resistance is becoming increasingly serious, this study aims to investigate the relationship between the resistance rate of erythromycin-resistant Streptococcus pneumoniae (SP) and reasons for the epidemic under complex geographical and climatic factors in China. Data spanning from 2014 to 2021, including drug resistance rates, isolate rates, meteorological variables, and demographic statistics, were collected from the China Antimicrobial Resistance Monitoring System, the China Statistical Yearbook and China Meteorological Website. Our analysis involved nonparametric tests and the construction of multifaceted regression models for rigorous multivariate analysis. Single-factor analysis revealed significant differences in the resistance rate and isolate rate of erythromycin-resistant SP across different regions characterized by Hu Huanyong lines or different climate types. Multivariate regression analysis indicated positive correlations between the drug resistance rate and temperature, Subtropical climate, Gross Domestic Product (GDP), Hu Huanyong line, and the highest temperature in the past period (Tm); the isolate rate showed a positive correlation with regional GDP and a negative correlation with monsoon climate. The model developed in this study provides valuable insights into the resistance rate and potential relationships of erythromycin-resistant SP under complex meteorological conditions in China.

The Influence of Leading Sectors, Domestic Investment and Population on Regional Original Income (PAD) in Bengkulu Province

This research aims to analyze the influence of leading sectors, domestic investment, and population on Regional Original Income (PAD) in Bengkulu Province. Regional economic development is measured through Gross Regional Domestic Product (GRDP), which reflects resource management capabilities and fiscal independence. The data used in this research is secondary data covering the 2019-2023 periode and analyzed using the Location Quotient (LQ) technique and multiple regression methods. The research results show that leading sectors and domestic investment have a significant influence on PAD, while the influence of population varies depending on the sector studied. These findings emphasize the importance of optimizing potential economic sectors and increasing domestic investment to strengthen fiscal independence and regional competitiveness in Bengkulu Province.

Impact of the Agricultural Sector on Unemployment, Inequality and Rural Poverty: A Panel Regression Analysis in Indonesian Provinces

This study examined how the agricultural sector impacted unemployment, income inequality, and rural poverty across Indonesia’s provinces from 2015 to 2021. Using data from the Central Bureau of Statistics (BPS) and a panel regression model, the research analyzed the relationships between these factors. It also explored the structural changes caused by the COVID-19 pandemic in 2020-2021. The findings showed that the agricultural sector’s Gross Regional Domestic Product (GRDP), farmer exchange rates, and informal labor significantly influenced unemployment and income inequality in rural areas. However, the pandemic did not have a major effect on income inequality or poverty levels in these areas. The GRDP and value-added in agriculture played a crucial role in reducing rural poverty. The findings also showed that the COVID-19 pandemic did not directly increase or decrease the number of poor people, but it affected informal agricultural workers due to physical distancing measures. The research highlighted the agricultural sector’s importance in addressing unemployment and inequality during the pandemic in Indonesia.

Analysis of the Effect of Sharia Bank Financing and Investment on Economic Growth through Micro, Small and Medium Enterprises (MSMEs) Credit

This study seeks to examine the impact of sharia bank financing and investment on economic growth in Indonesia by analyzing lending to micro, small, and medium companies (MSMEs) utilizing time series data. This research characterizes economic growth through the Gross Regional Domestic Product (GRDP) for each province in Indonesia. This study utilizes secondary data from 2011 to 2022 sourced from BPS, OJK, and Bank Indonesia, analyzed using the Path Application. This report assesses the direct and indirect funding of Islamic banks and their involvement in economic growth via Micro, Small, and Medium Enterprises (MSME) credit. The research findings indicate that the Islamic bank funding variable does not significantly influence the MSME credit variable; nevertheless, the investment variable does have a substantial impact on the Micro, Small, and Medium Enterprises (MSME) credit variable.

Analysis of The Leading Sector for Regional Development: A Case Study of Batam, Bintan, and Karimun (BBK), Riau Islands Province, Indonesia

Abstract: Spatial planning in Batam, Bintan, and Karimun (BBK) areas is prioritized because it has an important impact on the national economy. This research aims to identify the potential leading sectors in the BBK areas as a reference in regional development. This study uses time series data on Gross Regional Domestic Product (GRDP) based on constant prices in the BBK areas from 2011 to 2021. The analytical tools used in this research are Location Quotient to identify basic and non-basic sectors, Shift Share Analysis to determine changes and shifts in sectors, and Klassen Typology to determine the classification of sector in each region. The three analytical tools combined results demonstrate that economic growth in Batam is supported by the processing sector. A growing sector in Bintan is related to the tourism. Economic potential in Karimun dominated by the agricultural, forestry, and marine sectors. Tanjungpinang’s economic potential is dominated by the service sector, which supports the city’s role as the capital of the Riau Islands Province. However, the fisheries sector has not developed optimally. As an archipelago, regional development policies in the BBK areas should develop other sectors to optimize the maritime economic potential. Keywords: Klassen Typology, Location Quotient, Leading Sectors, National Strategic Areas, Shift Share Analysis

The Influence Of Total Production, NTP And Grdp On Labor Absorption In The Coconut Plantation Subsector In Riau Province

This research aims to determine the effect of total production, Farmer Exchange Rate (NTP) and Gross Regional Domestic Product (GRDP) on labor absorption in the smallholder coconut plantation subsector in Riau Province in 2012-2023. In this research, multiple linear regression techniques were used using the Ordinary Least Square (OLS) method. The research results show that the simultaneous test (F test) shows that total production, NTP and GRDP together have a significant influence on labor absorption in the coconut plantation subsector in Riau Province in 2012-2023. Meanwhile, the partial regression test (t test) shows that total production has a positive and significant effect on labor absorption, NTP has a positive and significant effect on labor absorption, and GRDP has a negative and insignificant effect on labor absorption. The results of the coefficient of determination (R2) of the independent variable on the dependent variable obtained a value of 0.973238. This means that the contribution of the independent variables (total production, NTP and GRDP) to the dependent variable (demand for employment) is 97.32% and the remaining 2.68% is influenced by other variables outside the regression model in this research.

ADDITIVE HOLT-WINTERS METHOD FOR FORECASTING GROSS REGIONAL DOMESTIC PRODUCT AT CONSTANT PRICES OF EXPENDITURE OF WEST SUMATRA

Regional disparities often pose significant challenges, with some areas experiencing rapid economic growth while others lag behind. An essential macro benchmark to gauge the success of development initiatives is economic growth, as indicated by changes in a region's Gross Regional Domestic Product (GRDP). Using GRDP at constant prices (GRDP CP) helps eliminate the impact of price fluctuations, focusing on real increases in production activities. Expenditure GRDP reflects the value of goods and services produced within a region and consumed by the community. In the case of West Sumatra, the GRDP CP expenditure data reveals simultaneous seasonal and trend elements. The seasonal pattern, occurring quarterly each year, exhibits an additive seasonal effect. The Additive Holt-Winters method has been proven effective for data containing seasonal patterns with constant seasonal variation (additive) and linear trends, where the level, trend, and seasonal pattern can change. The data used is secondary data of GRDP CP of expenditure quarterly of West Sumatra in 2010 - 2022 obtained from the official website of the Indonesian Central Bureau of Statistics. According to research findings, the GRDP CP expenditure with a Mean Absolute Percentage Error (MAPE) value of 1.03% for quarter I to quarter IV in 2023 are Rp46,284,010.59, Rp46,472,223.99, Rp47,512,197.79, and Rp48,445,184.94, respectively. This suggests that the model equation performs exceptionally well predicting future economic trends.

ANALISIS HARGA PANGAN POKOK TERHADAP KETAHANAN PANGAN DI INDONESIA

Food security ensures that sufficient, high-quality food is accessible to everyone for optimal consumption. Rising food prices can severely impact food security, especially for economically vulnerable groups. This research investigates the relationship between staple food prices and food security in Indonesia, focusing on factors like rice energy intake, egg protein intake, Gross Regional Domestic Product (GRDP) per capita, and regional conditions on Java, Bali, and other islands. Data from all Indonesian provinces for 2018-2020 is analyzed using the Ordinary Least Squares (OLS) regression method. The Food Security Index (IKP) comes from the National Food Agency’s Food Security Index Book, and food price data is sourced from the National Strategic Food Price Information Center (PIHPS). Control data such as GRDP per capita is from the Central Statistics Agency (BPS), while rice energy and egg protein intake data are from the Ministry of Agriculture’s Food Consumption Directory. The analysis reveals that rising rice prices from 2018 to 2020 significantly negatively affected food security. The study recommends evaluating rice price policies to maintain stability and enhance food accessibility. Similar evaluations for egg prices are also suggested to ensure protein availability for the community.

Payment Clearing and Regional Economy Development Based on Panel Data of Sichuan Province

Abstract The payment and clearing system can objectively record the operation of funds for social and economic activities, and the use of payment and clearing data can be made to monitor regional economic changes sensitively. Employing panel data of cities and prefectures in Sichuan Province from 2010 to 2021, this article employs econometric analysis to examine the link between payment and clearing data and the regional economy. The paper’s focus includes the payment and clearing system and economic indicators. The increase in the total amount of payment and clearing data has a significant positive correlation with digital economic development. Only by regression between the total amount of payment and clearing and regional gross domestic product (GDP), it can be found that every 1% increase in payment and clearing can increase regional GDP by 0.476%. After controlling factors such as important production factors, openness, and government intervention, the elasticity coefficient is still 0.1%, and the correlation is significant. Therefore, the amount of payment and liquidation is a valuable predictor of regional economic development. And thus providing Intelligent decision-making references for the policy formulation and strategic planning of governmental departments and regulatory agencies.

ANALYSIS OF CONVERGENCE BETWEEN PROVINCES IN INDONESIA

<p>Indonesia is one of the developing countries that is always trying to increase its economic growth. Indonesia has a large number of people with various ethnic backgrounds and diverse customs, so this situation has given rise to disparities between regions. This study aims to determine whether or not sigma convergence, to find out whether absolute and conditional convergence occurs or not, and to determine the speed of convergence. This study uses secondary data, namely Gross Regional Domestic Product (GRDP) per capita, poverty, and inequality for each province in Indonesia from 2017-2021. The method used in this study is panel data with a fixed effect approach. The results of the analysis using the sigma convergence (σ) approach show the occurrence of convergence. The results of the absolute convergence analysis explain the divergence of GRDP per capita in Indonesia with a divergence speed of 13.76% per year. The results of the conditional convergence analysis show that there is a divergence of GRDP per capita in Indonesia with a divergence speed of 13.62% per year.</p>

Contribution of Economic Development to The Development of The Mamminasata Region

Mamminasata (Makassar, Maros, Gowa, Takalar) is one of the urban or metropolitan areas in Eastern Indonesia. Mamminasata as a strategic area with economic interests has an important role in the development of its city and surrounding areas. Meanwhile, the dynamic development of the city causes demands for space needs to increase, especially the need for residential land. The objectives of this study are to 1) know economic development in the Mamminasata district/city in 2001-2021 2) know the development of built-up land in the Mamminasata district/city in 2001-2021 and 3) know the influence and contribution of economic growth to the development of the Mamminasata region. The research location is Makassar City, Maros Regency, Gowa Regency and Takalar Regency. This type of research is descriptive quantitative qualitative. The required data is collected through literature studies in the form of secondary data, namely Gross Regional Domestic Product (GRDP) at constant prices 2010, and google earth images 2001-2021. The analysis used in the research is literature study analysis, qualitative quantitative descriptive, basic statistics, LQ-DLQ, Shift Share, and multiple linear regression analysis. The result of this study is that during 2001-2021 the real income of the Mamminasata Region continued to increase. With the highest growth rate in Gowa Regency. Makassar City only has one leading sector, Maros Regency has two leading sectors, Gowa Regency has three leading sectors, and Takalar Regency has two leading sectors. Only Kabupaten Maros experienced a shift in economic structure from the tertiary sector to the primary sector in 2021 due to a significant economic decline. Spatially, sub-districts that are adjacent or directly adjacent to Makassar City have the most significant built-up land growth with developments following the main road network pattern. Based on the results of multiple linear regression analysis, it shows that there is no significant influence between the independent variables on the dependent variable either jointly or partially individually. Then the t-test was conducted again between tertiary variables and built-up land and showed a significant influence with a contribution of 33% to built-up land.

Exploring the competitiveness of tourism in Hungary: Recent findings and results

This research evaluates the regionalization of tourism in Hungary, revealing the breakdown of the national gross domestic product (GDP) of tourism. It also explores the density, spatial variations, and features of these indicators. A multimodal approach is used to evaluate the competitiveness of Hungarian counties, and the distribution of these tourism regions is analyzed using the tourism penetration index. Furthermore, regional GDP is calculated for the whole territory of Hungary. The study identifies significant regional disparities in tourism competitiveness, highlighting Budapest-Central Danube as the most competitive region and Lake Balaton as underperforming despite its potential. The research contributes by providing a detailed regional GDP analysis and emphasizing the need for targeted policy interventions to enhance tourism development across all regions.

Analyzing the impact of tourism on Gross Regional Domestic Product (GRDP) in Central Java Province

Indonesia is rich in natural resources, culture, and diversity in its social activities. This makes tourism a sector with potential as an economic booster. Central Java Province, in particular, is one of the provinces with a diverse and numerous array of tourist destinations. This diversity attracts both local and international tourists. Therefore, this research was conducted to determine the extent of the impact of the tourism sector on the Gross Regional Domestic Product (GRDP). The analysis method used is multiple linear regression with a 25-year time series data covering the number of tourist attractions, number of tourists, number of hotel accommodations, number of restaurants and eateries, and tourism sector investments as independent variables, and GRDP as the dependent variable. The results show that the number of tourist attractions and tourists has a positive and significant impact, while the number of hotel accommodations, restaurants, and eateries has a positive but not significant impact. Additionally, investment in the tourism sector has a negative and significant impact.

Pengaruh PDRB dan Upah Minimum Provinsi Terhadap Kemiskinan dan IPM di Provinsi-Provinsi Indonesia

Public welfare is the ultimate goal of every economic development. HDI as an indicator of welfare in Indonesia continues to increase from year to year, but is very volatile. The province with the highest HDI points is DKI Jakarta province and the lowest is Papua Province. This shows that the increase has not occurred significantly and there are still disparities in several provinces in Indonesia. This research aims (1) To analyze the direct influence of GRDP and minimum wages on poverty in Indonesian provinces in 2018-2022. (2) To analyze the influence of GRDP, minimum wage and poverty directly on HDI in Indonesian provinces in 2018-2022. (3) To analyze the influence of GRDP and minimum wages on HDI indirectly through poverty in Indonesian provinces in 2018-2022. This research uses secondary data obtained from BPS publications during 2018-2022, with a total of 170 observation points. The data analysis technique used is path analysis with the help of EViews 10 software. The results of the study indicate that PDRB has a significant negative direct effect on poverty, Provincial Minimum Wage has a significant positive direct effect on poverty, both PDRB and Provincial Minimum Wage have a significant positive direct effect on the HDI, and poverty has a significant negative direct effect on the HDI. Poverty is not an intervening variable in the relationship between PDRB and the HDI, but it is an intervening variable in the relationship between Provincial Minimum Wage and the HDI. The implications of this research are that successful economic policies must integrate increases in Gross Regional Domestic Product (GRDP) and Minimum Wage as primary strategies to reduce poverty levels and enhance the Human Development Index (HDI) in Indonesian provinces. Significant increases in GRDP contribute to poverty reduction by evenly distributing economic benefits to disadvantaged groups. Meanwhile, strengthened Minimum Wage policies can elevate worker incomes, bolster purchasing power, and improve access to education and healthcare, thereby potentially boosting HDI. Prioritising poverty reduction is crucial for enhancing overall quality of life, thereby creating better conditions for economic growth and social welfare at the provincial level

Impact Of International Trade On Regional Economic Growth

This study aims to analyze the impact of international trade on regional economic growth through literature studies. International trade is one of the main drivers of economic growth in the era of globalization. Despite a significant increase in the volume of global trade, the distribution of benefits is not always evenly distributed across regions. Some regions with adequate infrastructure access and supportive economic policies experience rapid economic growth, while other less developed regions face limitations in taking advantage of international trade opportunities. This study shows that international trade contributes significantly to increasing Gross Regional Domestic Product (GRDP), investment, and job creation, although these impacts depend on the readiness of infrastructure and the competitiveness of each region. Factors such as government policies and access to global markets also play a role in influencing the benefits obtained. This study recommends policies for infrastructure development and strengthening the competitiveness of local products to ensure that all regions can feel the optimal benefits of international trade. The results of this study provide direction for the government in formulating policies that encourage inclusive and sustainable economic growth at the regional level.

Sustainable Development Strategy Based on Value-Addedin the Fisheries Sector: Study on the Kangean Islands, Sumenep Regency, Indonesia

Objective: Kangean Islands is a group of small islands in Sumenep Regency, East Java Province, Indonesia, which is administratively divided into three sub-districts, namely Arjasa District, Kangayan District, and Sapeken District. This archipelago has very large fisheries potential as seen from its contribution to the Gross Regional Domestic Product (GRDP) of Sumenep Regency, but the utilization of the fisheries sector in this archipelago is still carried out traditionally and tends to be exploitative. This study aims to see the level of sustainability of fisheries sector management and recommend fisheries resource management strategies, in order to increase the economic added value of the fisheries sector and maintain the sustainability of fish resources and the environment in the archipelago. Method: The analytical method used to analyze the degree of sustainability in fisheries resource management in the Kangean Islands is Rapid Appraissal for Fisheries (RAPFISH) with the Multi-Dimensional Scaling (MDS) ordination technique. While the analytical tool used to compile a hierarchy of fisheries sector development strategies to increase economic added value is the Analytical Hierarchy Process (AHP). Results and Discussion: The results of the sustainability analysis in the management of the fisheries sector found that, of the five aspects identified, the results showed that the financial aspect and infrastructure aspect had the category of "Sustainable Sustainability", with values of each aspect of 63.113 and 53.885. While the other three aspects, namely: Human Resources (HR) Aspect, Natural Resources Aspect, and Social Aspect are included in the category of "Less Sustainable". Meanwhile, based on the results of the analysis of the hierarchy of fisheries sector development policies, it shows that the most priority policy to be carried out in the development of a sustainable fisheries sector is the "identification of investment potential and opportunities" program with a priority value of 46%. Furthermore, the strategy that must be chosen is to map the potential of the fisheries sector with a limiting value of 21%. With a Rater Agreement value strength of 0.472727 or 47%, it means that the informants agree in providing an assessment on the paired comparison questionnaire, in determining problems and strategies in the development of the fisheries sector in the archipelago.

The Importance of Input-Output Analysis in Advancing Sustainable Agricultural Development in Hulu Sungai Selatan Regency

This study explores the role of input-output (I-O) tables in promoting sustainable agricultural sector development in Hulu Sungai Selatan Regency, Indonesia. The agricultural sector is a critical component of the local economy, contributing significantly to the Gross Regional Domestic Product (GRDP) and providing employment for the majority of the population. However, the sector faces challenges such as climate change, unsustainable farming practices, and limited access to modern agricultural technologies. By utilizing I-O tables, this research analyzes the interdependencies between the agricultural sector and other economic sectors, identifying opportunities for growth and the potential impact of sustainable practices. The findings reveal that integrating sustainable agricultural practices can enhance productivity, increase farmers' income, and contribute to environmental preservation. Policy recommendations are provided to support the adoption of sustainable methods, including incentives for environmentally friendly practices, education and training for farmers, and the development of supporting infrastructure. The study underscores the importance of data-driven approaches in formulating effective policies that promote both economic growth and sustainability in the agricultural sector.

Pengaruh Investasi, Human Capital, Kesenjangan Sosial, dan Pertumbuhan Ekonomi terhadap Kesempatan Kerja di Pulau Sumatera

This research aims to examine the influence of investment, human capital, social inequality and economic development on job prospects on the island of Sumatra. Associative quantitative research is used as an investigative approach. Secondary statistical data originating from the Central Statistics Agency (BPS) includes information regarding investment, human development index, Gross Regional Domestic Product (GRDP), Gini index, and job opportunity levels from 2018 to 2022. The results of this research show that simultaneously and partial investment factors, human capital, socio-economic disparities have a positive influence on employment opportunities on the island of Sumatra. Investment, human capital, social inequality and economic growth contribute 86.9% to the variation in employment opportunities.

Pengaruh Sektor Pariwisata Alam terhadap Pertumbuhan Ekonomi di Sumatera Utara tahun 2012- 2022

This study looks at how the natural tourism industry in North Sumatra has influenced the region's economic growth between 2012 and 2022. Based on secondary data assessed using a simple linear regression approach, this research concludes that the natural tourism industry has had a significant and beneficial impact on local economic growth. Research findings show that any growth in the natural tourism industry will significantly increase North Sumatra's Gross Regional Domestic Product (GRDP). In addition, this research found that one of the main drivers of job creation and income growth for local communities is the nature tourism industry.