{"title":"Pengaruh Pembayaran Non-Tunai Terhadap Kinerja Sektor Primer Di Indoensia","authors":"Mirayanti Astari, Wisnu Wibowo","doi":"10.21107/mediatrend.v17i1.13632","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to examine the effect of non-cash payments on theperformance of the primary sector in Indonesia. The independent variables consistof ATM/Debit cards, credit cards, e-money, check payments, and RTGS payments.The dependent variable of the primary sector is divided into two, namely agriculturalGDP and mining GDP. The data used is a secondary data type with time series,observation period 2010.q1-2019.q4. The analytical method of this study uses theError Correction Model (ECM) estimation to determine the effect of non-cashpayments in the short and long term. The short-term estimation results in the miningsector only have a significant influence on the RTGS variable, while in the long termit is influenced by credit cards, e-money, and RTGS. The results of the short-termestimation of the agricultural sector have a significant effect on credit cards, checks,and RTGS, while in the long term only checks are significant","PeriodicalId":31003,"journal":{"name":"Media Trend","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Media Trend","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21107/mediatrend.v17i1.13632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The purpose of this study is to examine the effect of non-cash payments on theperformance of the primary sector in Indonesia. The independent variables consistof ATM/Debit cards, credit cards, e-money, check payments, and RTGS payments.The dependent variable of the primary sector is divided into two, namely agriculturalGDP and mining GDP. The data used is a secondary data type with time series,observation period 2010.q1-2019.q4. The analytical method of this study uses theError Correction Model (ECM) estimation to determine the effect of non-cashpayments in the short and long term. The short-term estimation results in the miningsector only have a significant influence on the RTGS variable, while in the long termit is influenced by credit cards, e-money, and RTGS. The results of the short-termestimation of the agricultural sector have a significant effect on credit cards, checks,and RTGS, while in the long term only checks are significant