{"title":"THE EFFECT OF INFLATION AND ECONOMIC STRUCTURE CHANGES ON FARMER EXCHANGE VALUE (NTP) IN EASTERN INDONESIA","authors":"M. Tupamahu, B. R. Hanoeboen, J. Rijoly","doi":"10.51125/citaekonomika.v15i1.3491","DOIUrl":null,"url":null,"abstract":"Recently, the relationship between farmer exchange rates and the variables that influence them still leaves debate and various empirical findings. In general, this study aims to 1) analyze inflation's effect on farmers' exchange rates in Eastern Indonesia. 2) Analyze the effect of changes in the agricultural sector's economic structure on the exchange rate of farmers in Eastern Indonesia. 3) Analyze the effect of farmer exchange rates in the previous year on farmer exchange rates in Eastern Indonesia. 4) Analyze the simultaneous effect of the inflation rate, changes in the economic structure, and the previous farmer exchange rate on farmers' exchange rate in Eastern Indonesia. \nThe analysis method used is descriptive qualitative and quantitative analysis. The quantitative analysis tool used is the Panel Data regression model. The data used is panel data from 12 provinces in Eastern Indonesia for the period 2010-2018. There are several approaches to estimating the panel data regression model, so it is necessary to carry out statistical tests to get the best and efficient regression parameters (BLUE, Best Linear Unbiased Regression). In this study, the panel data estimation technique selected based on the Chow test, LM test, and Hausman test is the Random Effect Model. \nThe results showed that changes in the agricultural sector structure and the lag of the farmer exchange rate were found to have a positive and significant effect on the exchange rate of farmers, while the inflation rate had a negative and significant effect on the exchange rate of farmers. In the end, local governments have a significant role in improving the agricultural sector's development, leading to increased welfare of farmers. Therefore, the existence of political will that sided with farmers is an essential factor in changing the agricultural sector's welfare.","PeriodicalId":289877,"journal":{"name":"Jurnal Cita Ekonomika","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Cita Ekonomika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51125/citaekonomika.v15i1.3491","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
Recently, the relationship between farmer exchange rates and the variables that influence them still leaves debate and various empirical findings. In general, this study aims to 1) analyze inflation's effect on farmers' exchange rates in Eastern Indonesia. 2) Analyze the effect of changes in the agricultural sector's economic structure on the exchange rate of farmers in Eastern Indonesia. 3) Analyze the effect of farmer exchange rates in the previous year on farmer exchange rates in Eastern Indonesia. 4) Analyze the simultaneous effect of the inflation rate, changes in the economic structure, and the previous farmer exchange rate on farmers' exchange rate in Eastern Indonesia.
The analysis method used is descriptive qualitative and quantitative analysis. The quantitative analysis tool used is the Panel Data regression model. The data used is panel data from 12 provinces in Eastern Indonesia for the period 2010-2018. There are several approaches to estimating the panel data regression model, so it is necessary to carry out statistical tests to get the best and efficient regression parameters (BLUE, Best Linear Unbiased Regression). In this study, the panel data estimation technique selected based on the Chow test, LM test, and Hausman test is the Random Effect Model.
The results showed that changes in the agricultural sector structure and the lag of the farmer exchange rate were found to have a positive and significant effect on the exchange rate of farmers, while the inflation rate had a negative and significant effect on the exchange rate of farmers. In the end, local governments have a significant role in improving the agricultural sector's development, leading to increased welfare of farmers. Therefore, the existence of political will that sided with farmers is an essential factor in changing the agricultural sector's welfare.
最近,农民汇率和影响他们的变量之间的关系仍然留下争论和各种实证研究结果。总的来说,本研究的目的是1)分析通货膨胀对印尼东部农民汇率的影响2)分析农业部门经济结构变化对印尼东部农民汇率的影响3)分析前一年农民汇率对印尼东部农民汇率的影响4)分析通货膨胀率、经济结构变化、以及印尼东部以前的农民汇率。分析方法采用描述性定性与定量相结合的分析方法。使用的定量分析工具是面板数据回归模型。使用的数据是2010-2018年印度尼西亚东部12个省份的面板数据。面板数据回归模型的估计有几种方法,因此有必要进行统计检验,以获得最佳和有效的回归参数(BLUE, best Linear Unbiased regression)。在本研究中,基于Chow检验、LM检验和Hausman检验选择的面板数据估计技术是随机效应模型。研究结果表明,农业部门结构的变化和农民汇率的滞后性对农民汇率具有显著的正向影响,而通货膨胀率对农民汇率具有显著的负向影响。最后,地方政府在改善农业部门的发展方面发挥了重要作用,从而增加了农民的福利。因此,站在农民一边的政治意愿的存在是改变农业部门福利的一个重要因素。