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Corn production in the provinces of East Nusa Tenggara (NTT) and West Nusa Tenggara (NTB) exhibits dynamics influenced by agro-climatic factors, the utilization of production facilities, and the welfare condition of the farmers. This study aims to analyze the impact of rainfall, solar radiation, and production inputs on corn productivity; to explain the relationship between production changes and the Farmer’s Exchange Rate (NTP) as a welfare indicator; and to evaluate the contribution of the corn subsector to the agricultural Gross Regional Domestic Product (GRDP). The research method uses a descriptive-quantitative approach based on BPS data and official local government documents. The results indicate that NTB has more stable productivity due to relatively even rainfall and better support for production facilities, whereas NTT faces higher production fluctuations due to greater climate variability. Furthermore, the NTP in NTB tends to be better than in NTT, aligning with the stability of its productivity. Corn contributes significantly to the agricultural GRDP in both provinces, particularly in central production areas such as Dompu and Bima. Policy implications include the necessity for strengthening post-harvest infrastructure, more equitable input distribution, and climate adaptation strategies in drought-prone areas. The findings provide an empirical basis for sustainable productivity improvement and farmer welfare policies.

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 determine and analyze the development and influence of exports, exchange rates, inflation, and GRDP on the exchange rate of smallholder plantation farmers in Jambi Province. This study uses multiple linear regression analysis for the period 2009-2024 in Jambi Province. The development of exports, exchange rates, inflation, and GRDP fluctuates annually. Where the average development of exports in Jambi Province in 2009-2024 was 15.22%, the average development of exchange rates was 3.06%, the average development of inflation was 49.07%, the average development of GRDP was 6.22% and the average development of the exchange rate of smallholder plantation farmers in Jambi Province was 4.57%. The results of the study using multiple linear regression resulted in the finding that the variables of exports, exchange rates, inflation, and GRDP simultaneously influenced the exchange rate of smallholder plantation farmers in Jambi Province in 2009-2024. Meanwhile, partially, the export, exchange rate, and inflation variables have a negative effect on the exchange rate of farmers in the smallholder plantation sub-sector in Jambi Province, while the GRDP variable has a substantial positive effect on the exchange rate of farmers in the smallholder plantation sub-sector in Jambi Province in 2009-2024.

This research aims to determine whether there is an effect of FDI, Domestic Investment, and Labor on the GRDP of the Manufacturing Industry Sector in Pekanbaru City. This study uses independent variables such as FDI, Domestic Investment, and Labor with the dependent variable being the GRDP of the Manufacturing Industry Sector in Pekanbaru City. The data used in this study consisted of 2012 to 2024. The method used in the analysis approach is descriptive quantitative, and tested with multiple linear regression using SPSS 26 software.The results of the study indicate that, based on simultaneous regression analysis, FDI, Domestic Investment, and Labor have a significant impact on the GRDP of the Manufacturing Sector in Pekanbaru City. Partially, the Domestic Investment and Labor variables have a positive and statistically significant influence on the GRDP of the Manufacturing Industry Sector in Pekanbaru City, while the FDI variable has a positive and statistically insignificant influence on the GRDP of the Manufacturing Industry Sector in Pekanbaru City

This study aims to analyze investment efficiency in Bandung Regency from 2011 to 2024 and project it for the years 2025 to 2030. Investment efficiency is measured using the Incremental Capital-Output Ratio (ICOR) based on data from Gross Regional Domestic Product (PDRB) and Gross Fixed Capital Formation (PMTB) at constant 2010 prices. Forecasting is performed using the Autoregressive Integrated Moving Average (ARIMA) model. The analysis results show fluctuating ICOR values, reflecting annual variations in investment efficiency. Projections for 2025–2030 indicate a potential decline in efficiency, which signals important considerations for regional development planning. The findings highlight the need for the Investment and Integrated One-Stop Service Office (DPMPTSP) to use ICOR as a key performance indicator when formulating more effective and efficient investment policies to support quality economic growth in Bandung Regency. This study recommends improving future investment policies by utilizing the ICOR indicator to monitor and evaluate the effectiveness of regional investments.

This study aims to analyze the dynamic relationship between population density, Gross Regional Domestic Product (GRDP) per capita, and regional economic inequality in Indonesia over the period 1995–2024. Regional inequality is measured using the Gini Ratio as a key indicator. A quantitative method with a time series approach is employed using the Vector Autoregression (VAR) model. The analysis includes unit root testing, optimal lag selection, VAR estimation, impulse response function (IRF), variance decomposition, and Granger causality testing. The results show that population density has a positive effect on regional inequality, while GRDP per capita has a negative effect. However, both variables are statistically insignificant. The impulse response analysis indicates that a shock in population density tends to increase inequality in the short term, whereas a shock in GRDP per capita tends to reduce inequality. The Granger causality test reveals that population density regional inequality, while GRDP per capita does not have a significant causal effect. Overall, the findings suggest the importance of equitable economic development and population control policies in reducing regional disparities in Indonesia.

The mining and excavation sector in the components of the gross regional domestic product (PDRB) in Bojonegoro Regency is still the backbone of regional income and also development in Bojonegoro Regency, starting from infrastructure development and human development index (HDI). In research with the mining and excavation sector variable which is the base sector using the location quotient (LQ) calculation. This leading sector in Bojonegoro Regency has many impacts on its region starting from regional original income (PAD) and also other income components as well as impacts on society and also progress in development in Bojonegoro Regency.

This study aims to analyze the potential of the region in utilizing the demographic bonus in Aceh Tamiang Regency. The data used in this study is the PDRB data of Aceh Tamiang Regency and Aceh Province in 2019-2023. The data analysis method uses location question (LQ) and shift share analysis. Based on the results of the LQ analysis, it is known that there are 4 (four) business fields that can become leading sectors in Aceh Tamiang Regency and at the same time are the economic base for further development, namely the agriculture, forestry, and fisheries sectors; mining and quarrying; processing industry; and other services. Meanwhile, based on the shift share analysis, it can be seen that the sectors that have a positive impact on the utilization of the demographic bonus in Aceh Tamiang Regency are the wholesale and retail trade sector, car and motorcycle repairs. In addition to providing a good contribution to the utilization of the demographic bonus in Aceh Tamiang Regency and can increase the PDRB of Aceh Province.

Poverty is a crucial issue for a country. Overcoming poverty requires a comprehensive and sustainable approach that encompasses various sectors.  This study aims to determine the effect of the Open Unemployment Rate (TPT), Gross Regional Domestic Product (PDRB), and Labor Force Participation Rate (TPAK) on the number of poor residents.  The data analysis technique used in this research is OLS (Ordinary Least Squares), utilizing time series data on the Open Unemployment Rate (TPT), Regional Gross Domestic Product (PDRB), Labor Force Participation Rate (TPAK), and poverty from 2002-2023 in North Sumatra Province.  The results of this study indicate that the Open Unemployment Rate (IPT) does not affect poverty, whereas the Gross Regional Domestic Product (PDRB) and the Labor Force Participation Rate (TPAK) have a negative and significant impact on poverty.  Meanwhile, simultaneously, the Open Unemployment Rate (TPT), Regional Gross Domestic Product (PDRB), and Labor Force Participation Rate (TPAK) affect poverty in North Sumatra Province from 2002 to 2023.

The purpose of this study is to find out which sectors are the leading sectors in North Kalimantan Province in 2017 – 2021, What economic sectors have fast growth rates in shifting economic sectors in North Kalimantan Province in 2017 – 2021, Which economic sectors have the power strong competitiveness in shifting economic sectors in North Kalimantan Province in 2017 - 2021. What economic sectors are included in the criteria as prime, potential, developing and underdeveloped sectors in North Kalimantan Province in 2017 - 2021. Quantitative analysis methods used in processing this data is Location quotient (LQ), Shift Share, Growth Ratio Model (MRP) and Overlay Analysis processed using Microsoft Office Excel. The results of the study show that the economic sectors which are categorized as basic sectors in North Kalimantan Province in 2017 – 2021 are the Agriculture, Forestry and Fisheries sectors; Mining and excavation; Construction; Transportation and Warehousing; Administration of Government, Defense and mandatory social security; Education Services.

Micro, Small and Medium Enterprises (MSMEs) have an important role in the economy of Medan City, making a major contribution to job creation and increasing people’s income. This research aims to examine the role of MSMEs in economic development at the local level, the challenges they face, and the opportunities available, with a focus on how MSMEs in Medan adapt to the rapid digital technology advancements. Based on the theories of economic growth, sustainable development, and financial access, the findings indicate that MSMEs in Medan not only contribute to the Regional Gross Domestic Product (PDRB) and employment absorption but also strengthen the stability of the city's economy. While MSMEs have significant opportunities, they face challenges such as rising prices and the need to adopt digital technology for marketing their products. To support the growth of MSMEs, several policy recommendations include improving access to finance, developing infrastructure, enhancing skills training, and facilitating market access through digital platforms. Overall, MSMEs in Medan are a key pillar of the local economy, with growth potential that continues to expand as they adapt to technology and receive appropriate government support.

This study aims to determine the ratio of the concentration of the processing industry, labor absorption, and the value expenditure on labor in the province of bali. The data analysis method used in this analysis is the CR4 concentration analysis method. The data used is the analysis data on the number of large and medium processing industries, labor, and expenditure on labor in 2018 – 2021 obtained from the Central Statistic Agency (BPS) in the province of Bali. The result of this study indicate that : (1) In terms of CR4 analysis calculations, the concentration of the processing industry in the province Bali in 2018 – 2021 has a role in labor absorption. (2) In terms of CR4 analysis calculation, the concentration of the processing industry in province Bali in 2018 – 2021 has a role in the amound of expenditure given to labor. (3) In terms of CR4 analysis calculation, the concentration of the processing industry in the province Bali in 2021  has a role contributing to the PDRB in the province of Bali, as well as a comparison of the CR4 ratio in the province of Bali from 2018 – 2021.

This study aims to describe how exports and foreign investment affect economic growth based on the GRDP of West Java province in 2015-2022. This research is a literature study that departs from quantitative methods using secondary data obtained from the Central Statistics Agency (BPS). This research uses a multiple linear regression approach with SPSS data processing tools. The results of the F test show that simultaneously, exports and foreign investment do not have a significant effect on GRDP in West Java province. Partially, both of them do not have a significant influence on GRDP. The findings of this research underline the importance of considering other factors that may influence the level of GRDP in West Java. The implications of these findings also provide a basis for further research that could explore additional factors that may influence the relationship between these three variables.

This research aims to analyze the effect of Gross Regional Domestic Product (Produk Regional Domestik Bruto/PDRB), population, and tourism sector on the regional original revenue of the Special Region of Yogyakarta. This quantitative research compiled research data that were measured and tested using numerical data. This study used secondary data from the Financial and Asset Management Agency of the Special Region of Yogyakarta Province from 2014 – 2023. The data analysis of this study used SPSS 26 software. The results of this research, with significance value (sig.<0.05), show that PDRB influences the regional original revenue of sig. 0.000 (t= 7.003), the total population influences the regional original revenue of sig. 0.003 (t=4.970), and the tourism sector influences the regional original revenue of sig. 0.003 (t=4.807). The coefficient of determination shows that (R2 =0.638) which means that the effect of PDRB, population, and tourism on the regional original revenue of the Special region of Yogyakarta Province is 63.8%. In conclusion, increasing regional original revenue can be achieved and succeeded by stimulating economic growth, managing population growth, and optimally developing the potential of the tourism sector. Those efforts can be a foundation for regional governments in designing sustainable and competitive economic development policies.

This study was conducted with the aim of determining the effect of Economic Growth (GRDP), Regional Original Revenue, General Allocation Fund and Special Allocation Fund on Regional Expenditure in South Central Timor Regency. The analysis method used is multiple linear regression. The results of this study indicate that partially the economic growth variable has a positive and significant effect on regional expenditure, the regional own-source revenue variable has a positive and significant effect on regional expenditure, the general allocation fund variable has a positive and significant effect on regional expenditure and the special allocation fund variable has a positive and significant effect on regional expenditure in South Central Timor Regency. Simultaneously or together, the variables of economic growth, local revenue, general allocation funds and special allocation funds have a significant effect on regional expenditure in South Timor Tengah Regency.

Economic growth is the key to successful development and increased prosperity in developing countries like Indonesia. This study uses secondary data from 2013-2023 to analyze the influence of the Human Development Index, Unemployment Rate and GRDP on development. The results show that GRDP and Unemployment Rate do not have a significant effect on the Human Development Index. Therefore, it is important for the authorities to facilitate job seekers in finding work, even if they do not work in Lampung Province.

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.    

The economic development of a region involves examining its Gross Regional Domestic Product (GRDP). The index number method of openness used in this study aims to determine the level of economic openness of a region. This research utilizes secondary data obtained from the Central Bureau of Statistics (BPS) for the period 2018–2022. The research findings indicate that the average export index is 105.0% per-year, indicating an increase in value of exports by 5.0% per-year, the average import index is 87.4% per-year, indicating a decrease in the value of imports by 12.6% per year. Average net export index is 122.9% per-year, indicating an increase in the value of exports by 22.9% per-year. DKI Jakarta demonstrates a strong economic growth rate with an increase in GRDP of 3.1% per-year, as well as showing stable economic activity indicators with an average GRDP index of 103.1% per-year. GDP is directly influenced by exports, an increase in GRDP does not necessarily increase the value of exports. DKI Jakarta has a high economic value, emphasizing the importance of diversifying different types of exports to expand trade networks and enhance competitiveness. The government should reduce dependence on imported goods and increase local production in certain fields..