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This research aims to determine the influence of CPO prices, inflation rates and the Rupiah exchange rate on share prices of companies in the palm oil plantation sub-sector listed on the Indonesia Stock Exchange in 2017-2021. The type of research used is quantitative research with the data source used is secondary data. The sample in this research was 12 oil palm plantation companies using a purposive sampling technique, namely a sampling technique that sets certain criteria. This research uses panel data regression with the selected model, namely the random effect model. The classical assumption tests used include normality tests and multicollinearity tests with t-statistic hypothesis tests, F-statistics and coefficient of determination. The partial research results show that CPO prices have a significant effect on stock prices, the inflation rate has a significant effect on stock prices and the rupiah exchange rate has a significant effect. Meanwhile, the research results simultaneously show that CPO prices, inflation rates and the rupiah exchange rate have a significant effect on stock prices.

This study aims to investigate how much influence three factors have on income inequality in Central Kalimantan Province, namely economic growth, the unemployment rate, and the poverty rate. The descriptive quantitative method is one of the methods used in statistical data analysis. It shows that the unemployment rate and poverty level significantly affect income inequality in Central Kalimantan, while economic growth has no significant effect. However, it is essential to remember that other factors affecting income inequality in Central Kalimantan are not included in the research model. Based on the analysis results in this study, there is a significant relationship between the independent variables, namely the unemployment rate and the poverty rate, with the dependent variable. Namely income inequality (Gini Ratio) in 13 regencies/cities in Central Kalimantan Province. However, the economic growth variable has no significant effect on income inequality. These results were obtained using the Random Effect Model method and the t-test statistic. Therefore, it is advisable to consider the unemployment and poverty rates in formulating policies to reduce income inequality in Central Kalimantan. However, it is essential to remember that other factors affect income inequality that are not included in the research model, so further research is needed to deepen understanding of these factors.  

Analysis of panel data regression is a regression method to determine the relationship between the independent variable and the dependent variable using combined data, namely between cross-section data and time-series data.Analysis of panel data regression can apply to the processing of rice production estimates for an area including the province of North Sumatera. North Sumatera is one of the provinces in Indonesia, at the very of the population focuses on the agricultural sector as the main livelihood in rice being the primary production. Based on data on the development of rice production at the Agriculture Office of North Sumatra Province, the level of rice production in 2019 for North Sumatra Province reached 4,693,563 Ton/Year.Throught Panel Data Regression Analysis with the three approach methods is Common Effect Model (CEM), Fixed Effect Model (FEM) and Random Effect Model (REM) , the best approach method is obtained, namely the Fixed Effect Model (FEM) with the best estimation model is . The coefficient of determination  of 0.950890, which means that the independent variable affects the dependent variable by 95.08% on rice production.Based on the estimation model, the development of rice production in the next 3 years, namely 2020, 2021 and 2022, has changes of around 39.88% (decrease), 10.68% (increase), 9.89% (increase).