Bambang Jatmiko, Ilham Gilar Wicaksono
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引用次数: 3

摘要

本研究的目的是检验和实证证明区域税收、人口、经济增长和区域支出等变量之间存在相关性。Banjarnegara地区的区域收入(PAD)问题不符合目标设定,甚至收入低于前一年设定的目标。本研究的主题是Kabupaten Banjarnegara的区域金融和资产收入管理局(BPPKAD),其财务报表的对象包括区域收入、区域支出、区域税收和区域国内总收入(GRDP)。此外,研究人员还使用了通过Banjarnegara Regency的中央统计局(BPS)的官方网站获得的关于生产年龄类别的人口数量的数据。本研究采用定性方法,并辅以二次资料检索。本研究采用目的性抽样。本研究采用的分析方法是描述性研究。本研究使用SPSS v.15.0软件处理数据。使用的研究模型是多重相关,其中测试旨在发现两个或多个变量之间的相关性或关系。此外,研究人员还使用了货币价值(VFM)方法来分析Banjarnegara摄政政府拥有的PAD。物有所值法有三个标准,即高效、有效和经济(3E)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN ASLI DAERAH KABUPATEN BANJAR NEGARA (Studi Deskriptif Pada Kabupaten Banjarnegara-Jawa Tengah)
The purpose of this study is to test and prove empirically the existence of correlations between variables of regional taxes, population, economic growth and regional expenditure. The problem in regional revenue (PAD) in Banjarnegara District which is not in accordance with the target set even the income is less than the target set in the previous year. The subject of this study is the Regional Financial and Asset Revenue Management Agency (BPPKAD) of Kabupaten Banjarnegara with an object of financial statements containing regional income, regional expenditure, regional tax, and gross regional domestic income (GRDP). In addition, researchers also use data on the number of population included in the productive age category, the data obtained through the official web of the Central Statistics Agency (BPS) of Banjarnegara Regency. This study uses qualitative methods with secondary data retrieval. Sampling in this study using purposive sampling. The analiss method used in this research is descriptive study. The application to process data in this study uses SPSS v.15.0. The research model used is multiple correlation, where the test aims to find correlations or relationships between two or more variables. Furthermore, the researchers also used the value for money (VFM) method to analyze the PAD owned by the Banjarnegara Regency government. The value for money method has three criteria, namely, efficient, effective and economical (3E).
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