{"title":"政府支出、劳动生产率和人口统计因素对马鲁库省城市人口发展的影响","authors":"Mohammad Ratmasa Serang","doi":"10.51125/citaekonomika.v11i2.2127","DOIUrl":null,"url":null,"abstract":"Human development according to UNDP (United Nation Development Program) is a process to expand choices for the population. When referring to this definition, the population becomes the ultimate goal of development, while the development effort is a means (principal means) for that purpose. Human development achievements in Maluku Province are low compared to Indonesia's human development index. In general, research aims to optimize the achievement of human development performance by looking for determinants / determinants that affect the performance of human development in the district / city of Maluku Province. Specifically this study aims to 1) analyze partially the effect of government expenditure (economic expenditure) on human development performance 2) partially analyze the effect of government health-education expenditure, 3) analyze partially the effect of labor productivity level on human development performance and 4 ) partial analysis of the influence of demographic factors represented by the number of population on the performance of human development in the district / city of Maluku Province 2009-2014. The analytical method used is qualitative descriptive and quantitative analysis. The quantitative analysis tool used is the Data Panel regression model for secondary data of districts / cities in Maluku Province for the period 2009-2014. There are several approaches to estimating the panel data regression model, so it is necessary to conduct a series of statistical tests to obtain the most efficient and best regression parameters (BLUE, Best Linear Unbiased Regression). The stages of statistical testing include: First stage, Testing estimation models using Restricted F-Test, LM Test and Hauman Test, Second stage, testing violations of classical assumptions.","PeriodicalId":289877,"journal":{"name":"Jurnal Cita Ekonomika","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"PENGARUH PENGELUARAN PEMERINTAH, PRODUKTIVITAS TENAGA KERJA DAN FAKTOR DEMOGRAFI TERHADAP KINERJA PEMBANGUNAN MANUSIA DI KABUPATEN/KOTA PROVINSI MALUKU\",\"authors\":\"Mohammad Ratmasa Serang\",\"doi\":\"10.51125/citaekonomika.v11i2.2127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Human development according to UNDP (United Nation Development Program) is a process to expand choices for the population. When referring to this definition, the population becomes the ultimate goal of development, while the development effort is a means (principal means) for that purpose. Human development achievements in Maluku Province are low compared to Indonesia's human development index. In general, research aims to optimize the achievement of human development performance by looking for determinants / determinants that affect the performance of human development in the district / city of Maluku Province. Specifically this study aims to 1) analyze partially the effect of government expenditure (economic expenditure) on human development performance 2) partially analyze the effect of government health-education expenditure, 3) analyze partially the effect of labor productivity level on human development performance and 4 ) partial analysis of the influence of demographic factors represented by the number of population on the performance of human development in the district / city of Maluku Province 2009-2014. The analytical method used is qualitative descriptive and quantitative analysis. The quantitative analysis tool used is the Data Panel regression model for secondary data of districts / cities in Maluku Province for the period 2009-2014. There are several approaches to estimating the panel data regression model, so it is necessary to conduct a series of statistical tests to obtain the most efficient and best regression parameters (BLUE, Best Linear Unbiased Regression). 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引用次数: 2
摘要
根据联合国开发计划署(UNDP)的说法,人类发展是一个扩大人口选择的过程。在提到这一定义时,人口成为发展的最终目标,而发展努力是实现这一目标的手段(主要手段)。与印度尼西亚的人类发展指数相比,马鲁古省的人类发展成就较低。总的来说,研究的目的是通过寻找影响马鲁古省地区/城市人类发展绩效的决定因素/决定因素来优化人类发展绩效的实现。具体而言,本研究旨在1)部分分析政府支出(经济支出)对人类发展绩效的影响;2)部分分析政府健康教育支出的影响;3)部分分析了劳动生产率水平对人类发展绩效的影响;4)部分分析了2009-2014年马鲁古省区市以人口数量为代表的人口因素对人类发展绩效的影响。分析方法采用定性、描述性和定量分析相结合的分析方法。使用的定量分析工具是2009-2014年马鲁古省各区/市二级数据的Data Panel回归模型。面板数据回归模型的估计有几种方法,因此有必要进行一系列的统计检验,以获得最有效和最佳的回归参数(BLUE, best Linear Unbiased regression)。统计检验的阶段包括:第一阶段,使用限制f检验、LM检验和hahuman检验对估计模型进行检验;第二阶段,检验经典假设的违反情况。
PENGARUH PENGELUARAN PEMERINTAH, PRODUKTIVITAS TENAGA KERJA DAN FAKTOR DEMOGRAFI TERHADAP KINERJA PEMBANGUNAN MANUSIA DI KABUPATEN/KOTA PROVINSI MALUKU
Human development according to UNDP (United Nation Development Program) is a process to expand choices for the population. When referring to this definition, the population becomes the ultimate goal of development, while the development effort is a means (principal means) for that purpose. Human development achievements in Maluku Province are low compared to Indonesia's human development index. In general, research aims to optimize the achievement of human development performance by looking for determinants / determinants that affect the performance of human development in the district / city of Maluku Province. Specifically this study aims to 1) analyze partially the effect of government expenditure (economic expenditure) on human development performance 2) partially analyze the effect of government health-education expenditure, 3) analyze partially the effect of labor productivity level on human development performance and 4 ) partial analysis of the influence of demographic factors represented by the number of population on the performance of human development in the district / city of Maluku Province 2009-2014. The analytical method used is qualitative descriptive and quantitative analysis. The quantitative analysis tool used is the Data Panel regression model for secondary data of districts / cities in Maluku Province for the period 2009-2014. There are several approaches to estimating the panel data regression model, so it is necessary to conduct a series of statistical tests to obtain the most efficient and best regression parameters (BLUE, Best Linear Unbiased Regression). The stages of statistical testing include: First stage, Testing estimation models using Restricted F-Test, LM Test and Hauman Test, Second stage, testing violations of classical assumptions.