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Oil palm plantations constitute a leading subsector that plays a strategic role in regional economic development, particularly in Nagan Raya Regency, which is predominantly based on the agricultural sector. This study aims to analyze the role of the oil palm plantation subsector in promoting regional economic development using the Economic Base Theory as an analytical approach. A descriptive qualitative method with a literature study was employed. The data used consist of longitudinal secondary data for the period 2019–2024, sourced from official publications of Statistics Indonesia, regional development planning documents, and relevant scientific articles. The results show that the agricultural sector, dominated by the oil palm plantation subsector, makes a large and relatively stable contribution to the Gross Regional Domestic Product (GRDP) of Nagan Raya Regency, thereby qualifying it as a basic sector. This subsector also plays an important role in employment absorption, particularly in rural areas. However, the substantial economic contribution and labor absorption have not been fully accompanied by equitable improvements in community welfare, as indicated by the relatively slow decline in poverty rates. This condition suggests that the economic multiplier effect of the oil palm plantation subsector has not yet been optimal due to limited downstream activities and low value-added processing at the regional level. The study concludes that strengthening downstream industries and intersectoral linkages is necessary to ensure that the role of oil palm plantations can more effectively support inclusive and sustainable regional economic development.

This study aims to analyze the effect of inflation, Gross Regional Domestic Product (GRDP), and the Provincial Minimum Wage (PMW) on the poverty line in 10 provinces in Indonesia. The research employs a quantitative approach using panel data regression analysis. The data utilized in this study consist of panel data covering a 10-year period, from 2015 to 2024, obtained from the Provincial Offices of Statistics and Statistics Indonesia (Badan Pusat Statistik/BPS). To examine the relationship between variables across regions and over time, the fixed effect model is applied in the analysis. The results of the analysis indicate that inflation and GRDP do not have a statistically significant effect on the poverty line in the 10 provinces examined. These findings suggest that although inflation and GRDP are important macroeconomic indicators, their variations during the study period were not sufficient to directly influence changes in the poverty line across the provinces. In contrast, the Provincial Minimum Wage (PMW) is found to have a significant effect on the poverty line. This result implies that increases in the minimum wage play a crucial role in improving household purchasing power, which can contribute to reducing poverty levels. Overall, the findings highlight the importance of wage policy as an effective instrument for poverty alleviation at the provincial level. While broader economic growth and price stability remain important, policies related to minimum wage determination appear to have a more direct and measurable impact on poverty conditions. Therefore, policymakers are encouraged to consider wage policies alongside other macroeconomic strategies to achieve more effective poverty reduction outcomes.

This study aims to analyze the influence of the General Allocation Fund (DAU), the Special Allocation Fund (DAK), and the Gross Regional Domestic Product (GRDP) on the poverty rate in North Sumatra Province. The method used is multiple linear regression analysis using secondary data from 2004 to 2023. The results show that the DAU has a negative and significant effect on the poverty rate, meaning that the greater the DAU allocation, the lower the poverty rate in the province. Conversely, the DAK has a positive and significant effect on the poverty rate, indicating that an increase in DAK is actually followed by an increase in the poverty rate. Meanwhile, GRDP shows a negative effect on the poverty rate, but the effect is not significant. The coefficient of determination obtained shows that the DAU, DAK, and GRDP are able to explain variations in the poverty rate in North Sumatra Province. Simultaneously, the test results show that all three variables have a significant effect on the poverty rate. These findings suggest the importance of proper management of fund allocation and optimization of regional economic sectors to reduce poverty effectively.

Poverty remains a central issue in regional development, particularly in areas with pronounced economic disparities such as South Sumatra Province. This study aims to examine the effect of Gross Regional Domestic Product (GRDP) on the poverty rate across regencies and cities in South Sumatra during the period 2020–2024. A quantitative research approach was employed using panel data regression analysis, supported by descriptive statistics and classical assumption tests. The empirical findings indicate that GRDP has a negative and statistically significant effect on poverty, suggesting that an increase in regional economic capacity contributes to reducing poverty levels. However, the relatively small coefficient signifies that economic growth has not been fully inclusive and is influenced by the structural characteristics of each region. The Fixed Effect Model was identified as the most appropriate specification, highlighting the existence of heterogeneity across districts that shapes the relationship between GRDP and poverty. These results underscore the need for development strategies that not only promote economic growth but also ensure an equitable distribution of its benefits through the reinforcement of labor-intensive sectors, enhancement of human capital, and strengthening of local economic structures. The study provides valuable insights for regional policymakers in designing more effective and sustainable poverty alleviation strategies.

Poverty is one of the most difficult economic problems to solve. This problem occurs in all countries. Among the causes of poverty are poor human resources, a low quality of life, a rising unemployment rate, and a decrease in job availability each year, as well as wages that do not match living costs. This is not only due to low human resources; the government also plays a crucial role in this issue. The poverty rate is unavoidable, so an appropriate solution is needed to address this issue. One step to reducing poverty is to analyze which economic instruments can be optimized, especially in the Sidoarjo region. The poverty rate in Sidoarjo is quite high. The open unemployment rate in Sidoarjo ranks third in East Java province. Therefore, the author was interested in conducting this research. This study aims to determine the effect of the distribution of zakat, infaq, and alms (ZIS) funds, GRDP, and open unemployment on the poverty rate in Sidoarjo in 2013-2023. This study uses a quantitative method with multiple linear regression analysis. The data processing tool used is SPSS. The results of the T test indicate that the distribution of ZIS funds has a significant effect on the poverty rate, while GRDP and open unemployment do not have a significant effect on the poverty rate partially. The F test shows that the distribution of ZIS funds, inflation, and GDP have a significant effect on the poverty rate simultaneously in the period 2013-2023. The limitation of this study is the use of variables that affect the poverty rate, so that future researchers can add or change these variables with other variables related to poverty.

This study aims to see whether there is an influence between education proxied by the average length of schooling, gross regional domestic product (GRDP), and the realization of regional expenditure on poverty in the Regency / City of Nias Islands. The research method of this article is a quantitative method with multiple linear regression analysis techniques. The data used in this study are secondary data obtained through the central statistics agency and the Directorate General of Fiscal Balance (DJPK) of the Ministry of Finance in the form of panel data from five regencies / cities in Nias Islands in 2014-2023. Based on the partial analysis results, the education variable and the realization of regional expenditure have a positive and significant effect on the poverty rate. Meanwhile, gross regional domestic product and has a negative and significant effect on poverty in the Nias Islands region, which is seen from the probability value which is smaller than (0.05). The research variable can explain the Y variable by 0.950220 or 95% and the rest is explained by other variables outside the study.

This study aims ti analyze the effect of the Human Development Index (HDI), Gross Regional Domestic Product (GRDP), and Open Unemployment Rate (OUR) on the poverty rate in Gorontalo Province. The study uses panel data from six districts/cities over the period 2017–2024 and is analyzed using panel data regression methods. Based on the results of the Chow test, Hausman test, and Lagrange Multiplier test, the best model used is the Fixed Effect Model (FEM). The analysis results show that simultaneously, the three independent variables have a significant effect on the poverty rate. However, partially, only the GRDP variable has a negative and significant effect on poverty. Meanwhile, the HDI and OUR variables show a negative but statistically insignificant effect on the poverty rate in Gorontalo Province.

This study aims to analyze the effect of Agricultural GDP, Gini Ratio, and Education in influencing poverty in western Indonesia. A panel data model with Fixed Effect Model estimation was used for data of 17 provinces from 2019 to 2023. The results showed that partially the Agricultural sector GRDP had a significant negative effect, inequality with the Gini Ratio indicator had a significant positive effect, while education with the average years of schooling indicator had a negative but insignificant effect. These findings indicate that an increase in agricultural output and education can reduce poverty, while high income inequality can worsen poverty conditions in rural areas.

The Maluku Islands are a high-poverty region in Indonesia. The region consists of 2 provinces, namely Maluku province and North Maluku province. There are 21 districts/cities in the region, with 17 regencies and 4 municipalities. The poverty rate in this region is a challenge that always wants to be studied with a socio-population approach and a mathematical statistics approach. One method or approach in analyzing poverty is Principal Component Analysis (PCA).  PCA has the advantage of simplifying information from various variables to several principal components without losing much information and can overcome the problem of multiple linearity by changing variables that correlate with freely related components. The purpose of this research is to identify poverty in districts/municipalities in Maluku Islands using the PCA approach. The results showed that the components formed by the PCA method were formed in 2 factors. Factor 1 consists of GRDP (X2), Life Expectancy Rate (X3), Unemployment Rate (X4) and Percentage of Population (X6). Meanwhile, factor 2 consists of 2 variables, namely the Poverty Level (X1) and TPAK (X5).

Empat Lawang Regency, once classified as a disadvantaged region, has made significant progress in improving the welfare of its population. This is reflected in the declining poverty rate and increasing Human Development Index (HDI). However, the region's economic growth, as measured by GRDP and GRDP per capita, lags behind other regions in Sumatera Selatan. This research seeks to pinpoint the key economic sectors driving Empat Lawang Regency's development by employing a combined analysis of LQ, Shift Share, and Tipology Klassen. The analysis results indicate that no sector can be unequivocally classified as a leading sector in Empat Lawang Regency. Nonetheless, several sectors such as agriculture, forestry, fisheries, wholesale and retail trade, also the other sectors exhibit potential for further growth. These findings underscore the importance of targeted policies and investments to stimulate economic growth and enhance the livelihoods of the local population.

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    

Economic growth is essentially the most important aspect in a country. An increase in the quality of life of the community that occurs in an area can mean that the area has continued economic growth. Economic growth can be reflected in changes in GRDP in a region. This research uses eviews analysis 10. Labor Force Participation Rate (TPAK), human development index and poverty are among the Human Resource factors that contribute to the formation of Gross Regional Domestic Product (GRDP) which can encourage Economic growth of a region. The aim of this research is to find out the influence of the level of labor force participation and poverty as seen from the human development index on economic growth in the province of West Papua in 2014-2022. The data used in this research uses time series data for the period 2014-2022, using quantitative descriptive methods with the eviews 10 analysis tool. Independent variables consist of Labor Force Participation Rate (TPAK) as X1, human development index (HDI) as X2 and poverty (k) as X3 and Economic Growth as (Y). The results of this study show that TPAK, HDI and K simultaneously have a positive and insignificant effect.

This research aims to analyze the relationship between Gross Regional Domestic Product (GRDP), unemployment rate, and Human Development Index (HDI) with the poverty rate in Lampung Province during the 2021-2021 period. The data used is secondary data obtained from various official sources. Statistical analysis methods, including correlation and regression analysis, are used to test the relationship between these variables. The research results show that there is a relationship between GRDP, unemployment rate, HDI, and poverty rate in Lampung Province. The implications of these findings are discussed in the context of economic and social development policy at the regional level.    

All people certainly really want a peaceful and prosperous life, but in reality it is not that easy to get a decent life, there are many factors that become challenges such as the low human development index, very high unemployment rates and the problem of poverty which has mushroomed in various regions. . Poverty is also described as the most complex social problem, so it must always receive special attention from the government. This study uses quantitative methods and uses secondary data obtained from the Central Statistics Agency of South Sumatra Province, using time series data from 2017-2021. The aim of this research is to determine the influence of GRDP and unemployment on HDI in South Sumatra Province. Data analysis was carried out using a multiple linear regression analysis test, the results of which showed that GRDP and unemployment simultaneously had a significant influence on the HDI percentage. Partially, GRDP does not have a significant influence, while the unemployment variable has a significant influence on the Human Development Index in South Sumatra Province in the 2017-2021 period.

Achieving human development requires GRDP because economic guarantees will increase income and productivity as a result of development, with the main objective being price stabilization (by stabilizing inflation) and preventing the spread of poverty by paying attention to the stability of prices of goods and services on the market. The aim of this research is to determine whether there is an influence of Inflation (X1) and CPI (X2) on GRDP (Y) in Bandar Lampung 2012-2019, either partially or simultaneously. In this research the author uses secondary data with a quantitative approach. The data in this research was obtained through the Central Statistics Agency which was accessed online. So in this research the author used a document study method for collecting secondary data. In analyzing this research the author used the classical assumption test method and multiple linear regression models using IBM SPSS Statistics 26. The analytical method used in the research was the classical assumption test. The results of this research show that the GRDP  in Bandar Lampung in 2012-2019 was only influenced by inflation, not by the CPI.The Coefficient of determination shows that inflation and CPI have a Simultaneous influence on GRDP of 77,7%.

The Central Statistics Agency explains that poverty is the inability to meet minimum standards of needs, both food and non-food needs. According to BPS, poverty is the condition of a person who is only able to meet his food needs of less than 2100 calories per capita per day. This research aims to determine the influence of inflation, GRDP and household consumption on poverty levels in Indonesia for the 2019-2022 period. The data used in this research is secondary data in the form of monthly time series data for four years, namely 2019-2022 with a sample size of 48. The analytical method used is a quantitative method with multiple linear regression analysis. Based on the results of the T test analysis, it was found that the variables Inflation, GRDP and Household Consumption partially influence poverty in Indonesia. Then an F test was carried out which showed that the variables Inflation, GRDP and Household Consumption simultaneously had a significant effect on poverty in Indonesia. This determination produces a determination (R2) of 0.959. Shows that the contribution of the variables Inflation, GRDP and Household Consumption to Poverty in Indonesia is 95.9%. Meanwhile, the remaining 4.1% is explained by other variables not included in this study.

This research aims to analyze the influence of GDP per capita, poverty, Gini Index, and Economic Growth Rate on the Human Development Index (HDI) in East Java Province during the 2013-2022 period. The analytical method used is multiple linear regression using secondary data. The results of the analysis show that partially, GDP per capita has a positive and significant effect on HDI, while the Growth Rate and Gini Index have a negative and insignificant effect on HDI in East Java Province. conclusion provides a comprehensive picture of the factors that influence HDI in the region, and the implications can be used to support development policy decision making in East Java Province.

IPM is an important indicator for measuring success in efforts to build the quality of human life (society/population) in Indonesia, including in West Sumatra Province. The aim of this research is to analyze gross regional domestic product, economic growth rate, Gini index and poverty in West Sumatra Province 2013-2022. The analytical method used in this research is multiple linear regression analysis. The data used in this research is secondary data and is a form of time series data. Based on the results of multiple linear analysis, PDRB per capita partially has a positive and significant effect on IPM in West Sumatra Province, while the Growth Rate and Gini Index partially have a negative and insignificant effect on IPM in West Sumatra Province and Poverty partially has a positive and insignificant effect on PDRB West Sumatra. Simultaneously GRDP Per Capita, Economic Growth Rate, Poverty and Gini Index have a significant effect on IPM. So the fifth hypothesis states that simultaneously PDRB per capita, economic growth rate, poverty and Gini index have a significant effect on IPM

Poverty is a condition where people are unable to meet their basic needs. Poverty can be said to be a fairly complicated matter that is being experienced by various countries in the world, especially a developing country like Indonesia. Poverty can be used as a measuring tool for socio-economic conditions in assessing the success of development carried out by the government in an area. Various impacts that can arise from the increase or lack of handling of the poverty rate include a decrease in the level of social welfare, an increase in the crime rate, a decrease in the level of public health, a decrease in the quality of education and there are still many social problems that will arise as a result of this poverty. The poverty rate can be influenced by various factors including GRDP (Gross Regional Domestic Product), HDI (Human Development Index) and TPT (Open Unemployment Rate). This study examines the effect of GRDP, HDI and TPT on poverty in Central Java Province in 2002-2021. The purpose of this study is expected to be able to analyze how and how much influence GRDP, HDI and TPT have on poverty in Central Java Province, so that it is hoped that later this can be used as a basis for determining policies to overcome poverty in Central Java Province. The data used in this study is secondary data obtained through the Central Bureau of Statistics (BPS). The method of analysis in this study is the time series data analysis method of estimating the ECM model with the help of Eviews 10. The results show that the relationship between GRDP, HDI and TPT has a significant effect on the poverty rate in Central Java Province.

Poverty is a serious problem for all countries, both developed and developing. The purpose of this study is to determine the impact of his GRDP, HDI and unemployment rate on poverty rate in Central Kalimantan from 2013 to 2022. The analytical tool used in this study is multiple regression analysis). The data used are time series and secondary data obtained from the Kalimantan Central Statistical Office (BPS) website Middle. The results of this study show that independent variables have a significant impact on poverty in Central Kalimantan. That is, the variables GRDP, Ipm, Unemployment, HDI and Unemployment variables have a negative impact on poverty in Central Kalimantan. The variables have a negative impact on poverty in Central Kalimantan.