巴布亚省地区政府地方政府收支预算吸收延迟的影响因素分析

Wa Ariadi, M. Syafii, Yendra Yendra, Windy Jatmik
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引用次数: 0

摘要

到目前为止,地方政府在管理政府和发展车轮上的成功,包括预算的使用,是由每年的预算吸收百分比决定的。百分比越大,说明表现越好。与此相关,本研究旨在找出哪些因素阻碍了区域收入和支出预算的吸收,特别是在巴布亚省政府。该研究使用了来自巴布亚省政府与财务管理相关的20个工作单位或办公室的60人的样本。本研究结果表明,部分政府承诺(X1)预算计划(X2)预算执行(X3)对APBD吸收延迟(Y)有影响,从基于显著性水平的t检验值可以看出。同时,通过比较p_value (F-statistics)的显著水平,自变量影响了巴布亚省政府地区预算(Y)的吸收延迟。f统计量的大小和显著性水平的计算结果设为= 0.05,f-count值为25,454,显著性水平为0.000,因此由相关系数确定的变量之间的关系的影响和方向为正。使所有自变量都具有单向关系作为分析结果,相关系数(r)的值为74.6%,表明自变量与因变量之间存在较强的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Factors Influencing Delays in the Absorption of the Local Government Revenue Expenditure Budget of the Regional Government of Papua Province
The success of local governments in administering government and the wheels of development, including in the use of the budget so far, is determined by the percentage of budget absorption in each year. The greater the percentage, it is said that the performance is getting better. Related to this, the research aims to find out what factors hinder the absorption of regional revenue and expenditure budgets, especially in the Papua Provincial government. The study used a sample of 60 people from 20 work units or offices in the Papua provincial government related to financial management. The results of this study indicate that partially the government's commitment (X1) Budget Planning, (X2) Budget Implementation, (X3) has an effect on the delay in APBD absorption (Y) which can be seen from the t-test value based on the significant level. Simultaneously, the independent variables affect the delay in the absorption of the Regional Budget (Y) in the Papua Provincial Government by comparing the p_value (F-statistics) with a significant level. The results of the calculation of the magnitude of the F-statistics and the significant level are set at = 0.05, the f-count value is 25,454 with a significant level of 0.000, thus the influence and direction of the relationship of the variables determined by the correlation coefficient is positive, so that all independent variables have a unidirectional relationship as the results of the analysis from the value of the correlation coefficient (r) of 74.6% which shows a strong relationship between the independent variable and the dependent variable.
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