Keterkaitan Belanja Pemerintah terhadap PDRB Perkapita Kabupaten/Kota di Sulawesi Tenggara

La Ode Muhammad Tamzil Syuhada, Wiwiek Rindayati, Bambang Juanda
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Abstract

The issuance of Law No. 1 of 2022 as a complement to Law No. 23 of 2004 concerning financial relations between the central and regional governments. Fiscal transfer policies are becoming more selective in seeing local needs. However, this needs to be supported by good fiscal management in the regions to carry out development activities that have an impact on increasing income that is more evenly distributed between regions and communities. One of the important instruments of fiscal decentralization is the management of government spending. Therefore, the purpose of this study is to examine the relationship between government spending and per capita income in Southeast Sulawesi. The units of observation analyzed are gross regional domestic product per capita in the previous year, personnel expenditures, goods and services expenditures, capital expenditures, HDI, district and city dummy variables. The model approach in the calculation is panel data regression analysis from 2016-2020. Based on the test results, the probability (F-statistics) is obtained, the equation of income per capita the Hausman test > 0.05, then the random effect model (REM) equation is the best model choice. The results of the analysis show all independent variables have a strong relationship with the dependent variable in the model which is shown by an R-square of 0.982. Variables that show significant effect on the increase in percapita income are (𝐺𝑅𝐷𝑃𝑝𝑟𝑘(𝑡−1)), goods and services expenditure, capital expenditure and HDI, while personnel expenditure has a negative effect on per capita income for both districts and cities in Southeast Sulawesi Province.
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政府支出与苏拉威西东南部的刚果民主共和国和城市PDRB的关系
颁布了2022年第1号法,作为对2004年关于中央和地方政府财政关系的第23号法的补充。财政转移支付政策在考虑到地方需求方面正变得越来越有选择性。然而,这需要得到各区域良好财政管理的支持,以开展对增加收入产生影响的发展活动,使收入在各区域和社区之间更均匀地分配。财政分权的重要手段之一是对政府支出的管理。因此,本研究的目的是考察苏拉威西东南部政府支出与人均收入之间的关系。分析的观察单位是前一年的人均地区国内生产总值、人员支出、商品和服务支出、资本支出、人类发展指数、地区和城市虚拟变量。计算中的模型方法为2016-2020年面板数据回归分析。根据检验结果,得到概率(f统计量),人均收入方程的Hausman检验> 0.05,则随机效应模型(REM)方程是最佳模型选择。分析结果表明,模型中所有自变量与因变量的关系都很强,r平方为0.982。对人均收入增长有显著影响的变量是(𝐺𝑅𝐷< <𝑝𝑟𝑘< <𝑡−1))、商品和服务支出、资本支出和人类发展指数,而人员支出对苏拉威西省东南部各区和各市的人均收入都有负面影响。
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