- Book学术

发布求助

文献互助智能选刊最新文献

DINAMIKA PERTANIAN Pub Date : 2019-09-24 DOI:10.25299/dp.2017.vol33(3).3832

A. Rifai, Dita Putri Nitami, Roza Yulida

{"title":"ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEDALAMAN JANGKAUAN (DEPTH OF OUTREACH) LEMBAGA KEUANGAN MIKRO (LKM) UED-SP DI KECAMATAN KUNTO DARUSSALAM KABUPATEN ROKAN HULU","authors":"A. Rifai, Dita Putri Nitami, Roza Yulida","doi":"10.25299/dp.2017.vol33(3).3832","DOIUrl":null,"url":null,"abstract":"This research aims to (1) identify the range performance of Micro Financial Institutions (MFI) UED-SP in Kunto Darussalam sub-district Rokan Hulu district (2) Analyze factors affecting depth of outreach UED-SP MFI in Kunto Darussalam sub-district Rokan Hulu district. The type of data used in this research is secondary data derived from financial report of UED-SP MFI in Kunto Darussalam sub-district, Report of the Central Bureau of Statistics (CBS), Scientific journals and other institutions that support this research. The data analysis method used is descriptive statistical analysis and quantitative analysis by using analysis tool Econometrica data panel, where this research use software Eviews series 9. Through the Chow test and Hausman test, the panel data regression model used is fixed effect model (FEM). The result of data analysis shows that together (F-statistic test) the estimation result shows that the six independent variables ( Age of UED-SP MFI (AGE), return on asset (ROA), average values loan (AVL), capital asset ratio (CAR),amount of woman borrowers (POWB) and amount of trade sector borrowers (TRADE) ) have a significant effect on the variable average outstanding loan (AOL). Partially (t-statistic test), from the six independent variables used in this study, only two independent variables (age UED-SP MFI (AGE) and amount of trade sector borrowers (TRADE)) which has a significant effect on depth of outreach. Coefficient of determination test results (R2) Shows the value of R2 is equal to 0,9552 which means 95,52% depth of outreach variation can be explained by variation of age of UED-SP MFI (AGE), return on assets (ROA), average values loan (AVL), capital asset ratio (CAR), amount of woman borrowers (POWB), and amount of trade sector borrowers (TRADE). While the rest of 4,48 percent can be explained by other variables that are not included in the model. ","PeriodicalId":11230,"journal":{"name":"DINAMIKA PERTANIAN","volume":"13 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DINAMIKA PERTANIAN","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25299/dp.2017.vol33(3).3832","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本研究旨在(1)识别昆托达鲁萨兰国街道Rokan Hulu区微型金融机构(MFI) uid - sp的范围绩效(2)分析影响昆托达鲁萨兰国街道Rokan Hulu区外延uid - sp MFI深度的因素。本研究使用的数据类型为二手数据，来源于昆托达鲁萨兰国街道uedsp MFI的财务报告、中央统计局(CBS)的报告、科学期刊和其他支持本研究的机构。使用的数据分析方法是描述性统计分析和定量分析，使用的分析工具是Econometrica数据面板，其中本研究使用的软件是Eviews series 9。通过Chow检验和Hausman检验，采用的面板数据回归模型为固定效应模型(fixed effect model, FEM)。数据分析的结果表明，f统计检验的估计结果表明，六个自变量(UED-SP MFI的年龄(Age)、资产收益率(ROA)、平均价值贷款(AVL)、资本资产比率(CAR)、女性借款人数量(POWB)和贸易部门借款人数量(trade))对变量平均未偿还贷款(AOL)有显著影响。部分(t统计检验)，从本研究中使用的六个自变量中，只有两个自变量(年龄，UED-SP MFI (age)和贸易部门借款人的数量(trade))对外展深度有显著影响。决定系数检验结果(R2)显示，R2的值等于0.9552，这意味着95,52%的外延变化深度可以通过UED-SP MFI年龄(age)、资产收益率(ROA)、平均贷款价值(AVL)、资本资产比率(CAR)、女性借款人数量(POWB)和贸易部门借款人数量(trade)的变化来解释。而剩下的4.48%可以用模型中未包含的其他变量来解释。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEDALAMAN JANGKAUAN (DEPTH OF OUTREACH) LEMBAGA KEUANGAN MIKRO (LKM) UED-SP DI KECAMATAN KUNTO DARUSSALAM KABUPATEN ROKAN HULU

This research aims to (1) identify the range performance of Micro Financial Institutions (MFI) UED-SP in Kunto Darussalam sub-district Rokan Hulu district (2) Analyze factors affecting depth of outreach UED-SP MFI in Kunto Darussalam sub-district Rokan Hulu district. The type of data used in this research is secondary data derived from financial report of UED-SP MFI in Kunto Darussalam sub-district, Report of the Central Bureau of Statistics (CBS), Scientific journals and other institutions that support this research. The data analysis method used is descriptive statistical analysis and quantitative analysis by using analysis tool Econometrica data panel, where this research use software Eviews series 9. Through the Chow test and Hausman test, the panel data regression model used is fixed effect model (FEM). The result of data analysis shows that together (F-statistic test) the estimation result shows that the six independent variables ( Age of UED-SP MFI (AGE), return on asset (ROA), average values loan (AVL), capital asset ratio (CAR),amount of woman borrowers (POWB) and amount of trade sector borrowers (TRADE) ) have a significant effect on the variable average outstanding loan (AOL). Partially (t-statistic test), from the six independent variables used in this study, only two independent variables (age UED-SP MFI (AGE) and amount of trade sector borrowers (TRADE)) which has a significant effect on depth of outreach. Coefficient of determination test results (R2) Shows the value of R2 is equal to 0,9552 which means 95,52% depth of outreach variation can be explained by variation of age of UED-SP MFI (AGE), return on assets (ROA), average values loan (AVL), capital asset ratio (CAR), amount of woman borrowers (POWB), and amount of trade sector borrowers (TRADE). While the rest of 4,48 percent can be explained by other variables that are not included in the model.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

DINAMIKA PERTANIAN

自引率

0.00%

发文量