Pub Date : 2024-04-01DOI: 10.32662/golder.v0i0.3421
R. Suryaman
This research aims to identify the magnitude of the economic impact caused by the existence of small industrial centers by taking a case study of the Sukaregang leather tanning industrial center. The method used in this research is cost and benefit analysis to obtain a valuation value for the externalities that arise. This research was conducted qualitatively by collecting data through interviews, observation and expert judgment. The research results found that the positive economic impact resulting from the activities of the Sukaregang leather tanning industrial center was in the form of employment, growth of the leather craft industry, creation of a supporting tourism subsector and improvement in community welfare. Meanwhile, the negative economic impacts caused are environmental pollution, disruption of the quality of public health and disruption of clean water sources. The valuation of the positive economic impact generated is estimated at IDR 68,516,318,340 per year, while the valuation of the negative economic impact is estimated at IDR 65,701,500,000 per year. The research found that the positive economic impact is estimated to be greater than the negative economic impact with a gap that is not too large, so it is a recommendation for the government and business actors to pay attention to green economic aspects in the industrial sector so that economic activities and regional development can run sustainably.
{"title":"Identification of Economic Impact Valuation on Small Industrial Centers (Study on the Sukaregang Leather Tannery Industrial Center)","authors":"R. Suryaman","doi":"10.32662/golder.v0i0.3421","DOIUrl":"https://doi.org/10.32662/golder.v0i0.3421","url":null,"abstract":"This research aims to identify the magnitude of the economic impact caused by the existence of small industrial centers by taking a case study of the Sukaregang leather tanning industrial center. The method used in this research is cost and benefit analysis to obtain a valuation value for the externalities that arise. This research was conducted qualitatively by collecting data through interviews, observation and expert judgment. The research results found that the positive economic impact resulting from the activities of the Sukaregang leather tanning industrial center was in the form of employment, growth of the leather craft industry, creation of a supporting tourism subsector and improvement in community welfare. Meanwhile, the negative economic impacts caused are environmental pollution, disruption of the quality of public health and disruption of clean water sources. The valuation of the positive economic impact generated is estimated at IDR 68,516,318,340 per year, while the valuation of the negative economic impact is estimated at IDR 65,701,500,000 per year. The research found that the positive economic impact is estimated to be greater than the negative economic impact with a gap that is not too large, so it is a recommendation for the government and business actors to pay attention to green economic aspects in the industrial sector so that economic activities and regional development can run sustainably.","PeriodicalId":231581,"journal":{"name":"Gorontalo Development Review","volume":"59 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140356884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01DOI: 10.32662/golder.v0i0.3408
Happy Adianita, Dados Susilowati, Devia Anindita Putri Karisma
The aim of this research is to identify the influence and explain the contribution of the labor force participation rate and the number of jobs to the unemployment rate. The location taken in this research is Indonesia, with cross-section data from 36 provinces in 2023. Data analysis in this research uses classical assumption tests and hypothesis testing with SPSS. Based on the calculation results, the level of labor force participation through education has a negative and significant influence on the unemployment rate in Indonesia. Meanwhile, the number of jobs created through education has no effect and is not significant on the unemployment rate. In addition, the labor force participation rate and number of jobs contribute to the unemployment rate of 65.9%. This confirms that the labor force participation rate and the number of jobs have a very significant influence on determining the unemployment rate. The labor force participation rate reflects how much of the population is actively looking for work, while the number of jobs indicates the availability of job opportunities in the economy.
{"title":"Analysis of Labor Force Participation Levels and Number of Employment Through Education on Unemployment Rates in Indonesia","authors":"Happy Adianita, Dados Susilowati, Devia Anindita Putri Karisma","doi":"10.32662/golder.v0i0.3408","DOIUrl":"https://doi.org/10.32662/golder.v0i0.3408","url":null,"abstract":"The aim of this research is to identify the influence and explain the contribution of the labor force participation rate and the number of jobs to the unemployment rate. The location taken in this research is Indonesia, with cross-section data from 36 provinces in 2023. Data analysis in this research uses classical assumption tests and hypothesis testing with SPSS. Based on the calculation results, the level of labor force participation through education has a negative and significant influence on the unemployment rate in Indonesia. Meanwhile, the number of jobs created through education has no effect and is not significant on the unemployment rate. In addition, the labor force participation rate and number of jobs contribute to the unemployment rate of 65.9%. This confirms that the labor force participation rate and the number of jobs have a very significant influence on determining the unemployment rate. The labor force participation rate reflects how much of the population is actively looking for work, while the number of jobs indicates the availability of job opportunities in the economy.","PeriodicalId":231581,"journal":{"name":"Gorontalo Development Review","volume":"2 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140353167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research aims to determine the influence of three key factors that influence the level of labor force participation in East Java province, namely the female workforce, population size, and the female open unemployment rate. This research uses secondary data which involves collecting statistical data from official and trusted sources, such as the Central Statistics Agency (BPS) and other related agencies. Data analysis uses statistical methods and descriptive analysis to gain in-depth insight into the relationships between variables. Based on the calculation results, looking at the relationship between variables, it shows that the relationship between female workers and the female open unemployment rate is negative. Meanwhile, the relationship between population size and the female open unemployment rate is positive. According to the t test calculations, it was found that the variables of female labor and population had a positive and significant influence on the labor force participation rate. Meanwhile, the female open unemployment rate has a negative and significant influence on the labor force participation rate. According to the f test, the results show that the three variables have a positive and significant effect on the level of labor force participation.
本研究旨在确定影响东爪哇省劳动力参与水平的三个关键因素，即女性劳动力、人口数量和女性公开失业率。本研究使用二手数据，即从官方和可信来源收集统计数据，如中央统计局（BPS）和其他相关机构。数据分析采用统计方法和描述性分析，以深入了解变量之间的关系。根据计算结果，从变量之间的关系来看，女工与女性公开失业率之间的关系为负相关。同时，人口数量与女性公开失业率之间的关系为正。根据 t 检验计算发现，女性劳动力和人口变量对劳动力参与率有显著的正向影响。同时，女性公开失业率对劳动参与率的影响为负且显著。根据 f 检验，结果显示这三个变量对劳动力参与水平有正向显著影响。
{"title":"The Influence of Female Workers, Population, and Open Unemployment Rates on Female Labor Force Participation Levels in East Java","authors":"Retno Muslinawati, Khalid Fauzi Aziz, Siskha Trifandha","doi":"10.32662/golder.v0i0.3417","DOIUrl":"https://doi.org/10.32662/golder.v0i0.3417","url":null,"abstract":"This research aims to determine the influence of three key factors that influence the level of labor force participation in East Java province, namely the female workforce, population size, and the female open unemployment rate. This research uses secondary data which involves collecting statistical data from official and trusted sources, such as the Central Statistics Agency (BPS) and other related agencies. Data analysis uses statistical methods and descriptive analysis to gain in-depth insight into the relationships between variables. Based on the calculation results, looking at the relationship between variables, it shows that the relationship between female workers and the female open unemployment rate is negative. Meanwhile, the relationship between population size and the female open unemployment rate is positive. According to the t test calculations, it was found that the variables of female labor and population had a positive and significant influence on the labor force participation rate. Meanwhile, the female open unemployment rate has a negative and significant influence on the labor force participation rate. According to the f test, the results show that the three variables have a positive and significant effect on the level of labor force participation.","PeriodicalId":231581,"journal":{"name":"Gorontalo Development Review","volume":"82 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140356030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01DOI: 10.32662/golder.v0i0.3315
Tito Arfandi Saat, Erni Febrina Harahap
The purpose of this study is to evaluate the impact of inflation and Rural Banks' (BPR) performance—that is, their assets, credit, and third-party funding—on Indonesia's economy. For the years 2014–2020, panel data regression using a fixed effect model approach is the technique employed. Secondary data from the Financial Services Authority (OJK), Central Statistics Agency (BPS), and other relevant organizations were used in this investigation. The findings indicated, in part, that the credit variable had a significant coefficient value of 0.119, the inflation variable had a significant coefficient value of -0.033, the asset variable had a significant coefficient value of -0.006, and the third party fund variable had an insignificant coefficient value of 0.064. At the same time demonstrating how the variables of assets, third-party funding credit, and inflation all influence Indonesia's economic variables at the same time. A coefficient of determination of 0.99 is attained. Then, these findings demonstrate that the variables of inflation, assets, credit, and third-party funds account for 99 percent of the variation in economic variables' growth and fall, with other factors outside the model influencing the remaining 1%.
{"title":"The Role of Inflation and The Performance of Rural Banks on Indonesia’s Economic Growth","authors":"Tito Arfandi Saat, Erni Febrina Harahap","doi":"10.32662/golder.v0i0.3315","DOIUrl":"https://doi.org/10.32662/golder.v0i0.3315","url":null,"abstract":"The purpose of this study is to evaluate the impact of inflation and Rural Banks' (BPR) performance—that is, their assets, credit, and third-party funding—on Indonesia's economy. For the years 2014–2020, panel data regression using a fixed effect model approach is the technique employed. Secondary data from the Financial Services Authority (OJK), Central Statistics Agency (BPS), and other relevant organizations were used in this investigation. The findings indicated, in part, that the credit variable had a significant coefficient value of 0.119, the inflation variable had a significant coefficient value of -0.033, the asset variable had a significant coefficient value of -0.006, and the third party fund variable had an insignificant coefficient value of 0.064. At the same time demonstrating how the variables of assets, third-party funding credit, and inflation all influence Indonesia's economic variables at the same time. A coefficient of determination of 0.99 is attained. Then, these findings demonstrate that the variables of inflation, assets, credit, and third-party funds account for 99 percent of the variation in economic variables' growth and fall, with other factors outside the model influencing the remaining 1%.","PeriodicalId":231581,"journal":{"name":"Gorontalo Development Review","volume":"45 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140357713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01DOI: 10.32662/golder.v0i0.3189
Said Moh Agus B Bakari, Irawati Abdul, Sri Indriyani S. Dai
This study aims to analyze the influence of capital, human resources and technology on the performance of micro, small and medium enterprises (SMEs) in Gorontalo City. The analysis method uses multiple linear regression with a crossection approach. The data used in this study was primary data sourced from 30 respondents. The results of this study show that: 1) capital has a negative insignificant effect on the performance of SMEs; 2) human resources have a positive insignificant effect on MSME performance and 3) technology has a significant positive effect on SMEs performance. This study provides practical implications for the government as a policy maker in an effort to improve the performance and empowerment of SMEs, especially in Gorontalo City.
{"title":"Determinants of Micro, Small and Medium Enterprises (SMEs) Performance","authors":"Said Moh Agus B Bakari, Irawati Abdul, Sri Indriyani S. Dai","doi":"10.32662/golder.v0i0.3189","DOIUrl":"https://doi.org/10.32662/golder.v0i0.3189","url":null,"abstract":"This study aims to analyze the influence of capital, human resources and technology on the performance of micro, small and medium enterprises (SMEs) in Gorontalo City. The analysis method uses multiple linear regression with a crossection approach. The data used in this study was primary data sourced from 30 respondents. The results of this study show that: 1) capital has a negative insignificant effect on the performance of SMEs; 2) human resources have a positive insignificant effect on MSME performance and 3) technology has a significant positive effect on SMEs performance. This study provides practical implications for the government as a policy maker in an effort to improve the performance and empowerment of SMEs, especially in Gorontalo City. ","PeriodicalId":231581,"journal":{"name":"Gorontalo Development Review","volume":"10 30","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140352960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.32662/golder.v0i0.2728
Marlina Putri, Nelvia Iryani
Uneven income distribution is a problem that affects many nations throughout the world, including Indonesia, and if it is not remedied right away, the process of economic progress will be slowed. This study examines the relationship between the growth of the agricultural sector, the human development index, the labor force participation rate, and inflation in West Sumatra Province from 2007 to 2022. The Central Bureau of Statistics (BPS) of West Sumatra Province provided secondary data that were utilised in this study's quantitative methodology. Multiple linear regression is the technique used, and data processing application analytic tools are used. The results of the regression analysis reveal that while the HDI, TPAK, and inflation variables have a significant and adverse impact on income distribution inequality, the agricultural sector development variables, as measured by agricultural sector GRDP data, have a significant and positive impact. Additionally, the findings of this study demonstrate that, from 2007 to 2022, the agriculture sector development variables of HDI, TPAK, and inflation collectively (simultaneously) have a significant impact on income distribution inequality in West Sumatra Province.
{"title":"Factors Affecting Income Distribution Inequality","authors":"Marlina Putri, Nelvia Iryani","doi":"10.32662/golder.v0i0.2728","DOIUrl":"https://doi.org/10.32662/golder.v0i0.2728","url":null,"abstract":"Uneven income distribution is a problem that affects many nations throughout the world, including Indonesia, and if it is not remedied right away, the process of economic progress will be slowed. This study examines the relationship between the growth of the agricultural sector, the human development index, the labor force participation rate, and inflation in West Sumatra Province from 2007 to 2022. The Central Bureau of Statistics (BPS) of West Sumatra Province provided secondary data that were utilised in this study's quantitative methodology. Multiple linear regression is the technique used, and data processing application analytic tools are used. The results of the regression analysis reveal that while the HDI, TPAK, and inflation variables have a significant and adverse impact on income distribution inequality, the agricultural sector development variables, as measured by agricultural sector GRDP data, have a significant and positive impact. Additionally, the findings of this study demonstrate that, from 2007 to 2022, the agriculture sector development variables of HDI, TPAK, and inflation collectively (simultaneously) have a significant impact on income distribution inequality in West Sumatra Province.","PeriodicalId":231581,"journal":{"name":"Gorontalo Development Review","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129488211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.32662/golder.v0i0.2648
Moh Agus Nugroho, Wahyudi Rusdi, Suci Larasati, Nur Fadhilah
The bibliometric method is used in this study to examine the increase of research or research on economic growth and inflation in Indonesia, specifically in journal publications on the Google Scholar page. The findings indicated that, between 2010 and 2021, there was an increase in the number of research publications, with 2013 and 2016 showing the largest increases. This explains why research on economic growth and inflation grew rapidly during those years. Along with the rising number of publications each cycle, the subject of Indonesia's economic expansion and inflation is also receiving an unprecedented number of quotes. Topics like infaq, ZIS, foreign investment, labor, wages, and BOPO that are connected to Indonesia's economic expansion and inflation are still rarely mentioned. Then, M Michael and T Militina, with five research articles each, followed by A Asnawati and N Izzah, with four articles, were the researchers who wrote and published the most journals relating to economic growth and inflation in Indonesia.
{"title":"Bibliometric Evaluating of Developmental Research on Indonesia Economic Growth and Inflation","authors":"Moh Agus Nugroho, Wahyudi Rusdi, Suci Larasati, Nur Fadhilah","doi":"10.32662/golder.v0i0.2648","DOIUrl":"https://doi.org/10.32662/golder.v0i0.2648","url":null,"abstract":"The bibliometric method is used in this study to examine the increase of research or research on economic growth and inflation in Indonesia, specifically in journal publications on the Google Scholar page. The findings indicated that, between 2010 and 2021, there was an increase in the number of research publications, with 2013 and 2016 showing the largest increases. This explains why research on economic growth and inflation grew rapidly during those years. Along with the rising number of publications each cycle, the subject of Indonesia's economic expansion and inflation is also receiving an unprecedented number of quotes. Topics like infaq, ZIS, foreign investment, labor, wages, and BOPO that are connected to Indonesia's economic expansion and inflation are still rarely mentioned. Then, M Michael and T Militina, with five research articles each, followed by A Asnawati and N Izzah, with four articles, were the researchers who wrote and published the most journals relating to economic growth and inflation in Indonesia.","PeriodicalId":231581,"journal":{"name":"Gorontalo Development Review","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121212189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Comprehensive baseline data on economic conditions are required to support efforts to develop the Tomini Bay region's economy as a priority for rural areas. In order to find solutions for growing the rural economy in the Tomini Bay region, academics must do practical research and development without data mapping. The goal of this study is to map and forecast how well the SDGs targets—particularly the economic pillars of goal 17—will be met in the Tomini Bay region. Secondary data from the BPS is used in this study's quantitative descriptive methodology. The projection methods of logarithmic, exponential, and linear were used to assess the data. Additionally, the expected outcomes of the TPB/SDG indicators are contrasted with worldwide targets and targets based on Presidential Regulation No. 11 of 2022 as an indicator to determine the achievement of the TPB/SDGs aims. The study's findings indicate that the Tomini Bay region's projected and average SDGs indicators are still far from the desired level. It is advised that regions whose anticipated accomplishments fall short of the desired level be supported through local government intervention programs, such as enlarging the local tax base and intensifying and extending regional taxes and levies.
{"title":"Economic Pillar Conditions Mapping in the Tomini Bay Area using SDGs Indicators","authors":"Boby Rantow Payu, Nurharyati Panigoro, Rezkiawan Tantawi, Yulianti Toralawe","doi":"10.32662/golder.v0i0.2763","DOIUrl":"https://doi.org/10.32662/golder.v0i0.2763","url":null,"abstract":"Comprehensive baseline data on economic conditions are required to support efforts to develop the Tomini Bay region's economy as a priority for rural areas. In order to find solutions for growing the rural economy in the Tomini Bay region, academics must do practical research and development without data mapping. The goal of this study is to map and forecast how well the SDGs targets—particularly the economic pillars of goal 17—will be met in the Tomini Bay region. Secondary data from the BPS is used in this study's quantitative descriptive methodology. The projection methods of logarithmic, exponential, and linear were used to assess the data. Additionally, the expected outcomes of the TPB/SDG indicators are contrasted with worldwide targets and targets based on Presidential Regulation No. 11 of 2022 as an indicator to determine the achievement of the TPB/SDGs aims. The study's findings indicate that the Tomini Bay region's projected and average SDGs indicators are still far from the desired level. It is advised that regions whose anticipated accomplishments fall short of the desired level be supported through local government intervention programs, such as enlarging the local tax base and intensifying and extending regional taxes and levies.","PeriodicalId":231581,"journal":{"name":"Gorontalo Development Review","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126145042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.32662/golder.v0i0.2616
Fajar Wahyu Prianto, Hafid Firhan, Duwi Yunitasari, T. H. Priyono, Dwi Perwitasari Wiryaningtyas
On the island of Java, East Java is one of the provinces with the highest rates of poverty. Public policies and spatial typologies are thought to have an impact on the region's poverty in addition to market factors. The objective of this study is to ascertain the impact of changes in East Java's poverty levels on changes in regional economic size (GDP), wages, fiscal capacity, and geographic type. The results of 38 regencies and cities using the panel data regression approach from 2012 to 2021 reveal that while district/city minimum salaries have no meaningful impact on poverty, economic growth, and greater fiscal capacity did. The study's findings also indicate that there are no appreciable disparities in poverty levels across coastal and inland regions.
{"title":"Do Factors like Capacity, Wage, Growth, and Type of Geography Have an Impact on Poverty in East Java ?","authors":"Fajar Wahyu Prianto, Hafid Firhan, Duwi Yunitasari, T. H. Priyono, Dwi Perwitasari Wiryaningtyas","doi":"10.32662/golder.v0i0.2616","DOIUrl":"https://doi.org/10.32662/golder.v0i0.2616","url":null,"abstract":"On the island of Java, East Java is one of the provinces with the highest rates of poverty. Public policies and spatial typologies are thought to have an impact on the region's poverty in addition to market factors. The objective of this study is to ascertain the impact of changes in East Java's poverty levels on changes in regional economic size (GDP), wages, fiscal capacity, and geographic type. The results of 38 regencies and cities using the panel data regression approach from 2012 to 2021 reveal that while district/city minimum salaries have no meaningful impact on poverty, economic growth, and greater fiscal capacity did. The study's findings also indicate that there are no appreciable disparities in poverty levels across coastal and inland regions.","PeriodicalId":231581,"journal":{"name":"Gorontalo Development Review","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120966810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-14DOI: 10.32662/golder.v0i0.2704
Khalid Fauzi Aziz, Retno Muslinawati
This study aims to describe and identify the independent variables (domestic investment (PMDN), exports, and state spending) that affect the dependent variable (economic growth). The research took the location of East Java using a time series period through the website of the Central Statistics Agency for 2012-2021. The data analysis method of this study used the classic assumption test, hypothesis testing and data was processed through EViews. The use of this program makes it easier for researchers to analyze detailed data. So that the results of data processing are easy to describe as a whole. Simultaneous test results obtained X1 (PMDN), X2 exports, and X3 government spending affecting Y East Java's economic growth. The partial test results show that: 1) X1 (PMDN) does not significantly affect economic growth; 2) X2 (Exports) does not significantly affect economic growth; and 3) Government spending significantly influences economic growth. Identification of variables found that the variable that influences significantly and positively is government spending.
{"title":"Identification of Domestic Investment (PMDN), Exports, Government Expenditures, and Economic Growth","authors":"Khalid Fauzi Aziz, Retno Muslinawati","doi":"10.32662/golder.v0i0.2704","DOIUrl":"https://doi.org/10.32662/golder.v0i0.2704","url":null,"abstract":"This study aims to describe and identify the independent variables (domestic investment (PMDN), exports, and state spending) that affect the dependent variable (economic growth). The research took the location of East Java using a time series period through the website of the Central Statistics Agency for 2012-2021. The data analysis method of this study used the classic assumption test, hypothesis testing and data was processed through EViews. The use of this program makes it easier for researchers to analyze detailed data. So that the results of data processing are easy to describe as a whole. Simultaneous test results obtained X1 (PMDN), X2 exports, and X3 government spending affecting Y East Java's economic growth. The partial test results show that: 1) X1 (PMDN) does not significantly affect economic growth; 2) X2 (Exports) does not significantly affect economic growth; and 3) Government spending significantly influences economic growth. Identification of variables found that the variable that influences significantly and positively is government spending.","PeriodicalId":231581,"journal":{"name":"Gorontalo Development Review","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122573542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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