印度尼西亚基础设施支出效率的决定因素:数据包络分析(DEA)和Tobit回归方法

IF 2.1
Sri Hartono, Aulia Fuad Rahman, Muhammad Tojibussabirin
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引用次数: 0

摘要

本研究旨在衡量2020-2022年各省邮政部基础设施发展的效率值,并通过财政能力、人口和面积考察效率决定因素的影响。本研究使用的数据采用二级数据,即人民公务部财务报告中的支出实现数据、《财政部长条例》中关于地区财政能力的数据、中央统计局的人口和面积数据。本研究采用两阶段分析法;首先,通过投入导向的VRS(可变规模回报)假设,采用DEA方法衡量技术效率;其次,使用Tobit回归模型分析决定因素。研究结果表明,2020-2022年期间,基础设施发展效率平均得分有所下降。其他结果发现,财政能力对提高基础设施开发效率有影响,人口规模和面积对降低基础设施开发效率有影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of Infrastructure Spending Efficiency in Indonesia: Data Envelopment Analysis (DEA) and Tobit Regression Approach
This study aims to measure the efficiency value of the Ministry of PUPR's infrastructure development in each province in the 2020-2022 period and examine the influence of the determinants of efficiency through fiscal capacity, population, and area. The data used in this study uses secondary data, namely expenditure realization data in the PUPR Ministry's financial reports, Minister of Finance Regulations regarding regional fiscal capacity, and data on population and area according to the Central Bureau of Statistics. This study uses two stages of analysis; the first is to measure technical efficiency with the DEA approach through the assumption of input-oriented VRS (Variable Return to Scale), and the second is to analyze the determinants using the Tobit regression model. The study results show that the average infrastructure development efficiency score decreased over 2020-2022. Other results find that fiscal capacity has an effect on increasing the efficiency of infrastructure development, and population size and area have an effect on reducing the efficiency of infrastructure development.
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来源期刊
World Journal of Science Technology and Sustainable Development
World Journal of Science Technology and Sustainable Development GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
5.50
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