This study aims to determine whether or not Sigma Convergence occurs Districts and cities in Bengkulu Province in 2013-2017. The variables used in this study are the dependent variables namely economic growth and independent variables gross regional domestic. The method used in this study is to use sigma convergence analysis using the Microsoft Excel. The type of data used in this study is secondary data sourced from the Central Bureau of Statistics. Based on the results of sigma convergence analysis, it can be said that there has been a sigma convergence between regencies/cities in Bengkulu Province in 2013-2017, it can be seen from the results of the variation coefficient values every year. Keywords:  Convergence, Economic Growth

The purpose of this study was to determine the effect of village funds and infrastructure on income inequality between provincial governments in Southern Sumatera. This study uses a panel data regression model, the data used are secondary data from 2015 to 2020. The data used in this study are time series data obtained from Badan Pusat Statistik (BPS), Ministry of Finance, Ministry of Public Works and Housing People (PUPR) and other related agencies. Based on research and data processing, the best panel data regression model is the fixed effect model. The results of the F-statistical test show that the variables of village funds, road infrastructure, electricity ratios, and cellular telephone ownership jointly reduce income inequality between villages between provincial governments in Southern Sumatera significantly. Meanwhile, based on the statistical results of the t-test, only household cell phone ownership has no significant effect on rural income inequality.

This study aims to analyze the financial performance of the Bengkulu Government with a degree of fiscal decentralization approach and to determine the effect of the regional original income (PAD) component on the Financial Performance of Bengkulu Government. The data used in this study was secondary data in the form of time series data and processed by multiple linear regression analysis tools (multiple regression). The empirical results of this study indicate that based on the calculation of the degree of fiscal decentralization ratio, the financial capacity of Bengkulu City is still at a very low capability level which is founded a very large difference between government spending and regional opinion. So it appears that Bengkulu Government still relies on assistance from the central government and was not independent yet. This can be an underline for local government to improve their ability being more independent and capable.

The aims of this research are to determine the statistical causality between poverty, education level, economic growth, investment and income inequality in Bengkulu province. To analyze how the influence of education level, economic growth, investment and income inequality on poverty in Bengkulu province. This research are use granger causality test method and Panel Multiple regression. The result shows the variables have causal relations are income inequality with economic growth, income inequality with investment. Panel data regression results show that education, economic growth, and investment variables significantly influence poverty in Bengkulu province. Keywords :  Granger Causality1, Education2, Economic Growth3, Invesment 4, Poverty 5