As one of the agricultural countries, Indonesia's population is highly dependent on farming for a living. Thus, this study is written to analyze the relationship between farmers' exports, imports, and the exchange rate of farmers on the value-added of the agricultural sector in Aceh Province, Indonesia. This study uses secondary data from the Central Bureau of Statistics of Aceh Province. This study uses quarterly time series data from 2007 to 2021, as many as 60 data series. By using the multiple linear regression model with Ordinary Least Square (OLS), the results show a positive and significant relationship between the increase in the export value and the farmer's exchange rate towards the increase in the value-added of the agricultural sector in Aceh Province. Meanwhile, the imported variable does not show a significant relationship to the value-added agricultural sector in Aceh Province in this study. Taken together, the variables of exports, imports, and farmers' exchange rates significantly affect the agricultural sector's added value in the selected models.

This study empirically explores the nature of inflation-unemployment dynamic causal relationships both in the short and long-run in the ASEAN-10 over the 1989-2018 period. Based on the panel cointegration test, the study documented a long-run equilibrium between inflation and unemployment. Using the Vector Error Correction Model (VECM) analysis, the study found an insignificant inflation-unemployment relationship in the short-run. However, in the long-run, inflation is found to affect the unemployment rate positively. Our results from the Variance Decompositions (VDCs) analysis also supported these findings, where the unemployment responded at the more significant percentage to shocks in inflation compared to the response of inflation to shocks in unemployment. These findings only supported the relevance of the Phillips curve theory in the long-run. Overall, these findings imply that although inflation targeting policy is not relevant to the short-run, it becomes crucial and effective to reduce the unemployment rate in ASEAN-10 in the long-run.JEL Classifications: E52, E58, J64 How to Cite:Lisani, N., Masbar, R., & Silvia, V. (2020). Inflation-Unemployment Trade-Offs In Asean-10. Signifikan: Jurnal Ilmu Ekonomi, 9(2), 241-256. https://doi.org/10.15408/sjie.v9i2.16346.

This study aims to determine the effect of government spending, private investment, and labor on economic growth in Pidie District, Data analyzed from 2000-2016, using multiple linear regression model. The results of research on government spending, private investment and labor both simultaneously and partially have a positive and significant impact on economic growth in Pidie District. Variations of government expenditure variables, private investment and labor are able to explain the variation of economic growth in Pidie District by 48,7 percent and the rest of 51,3 percent influenced by other variables. Labor is the most dominant variable of influence on economic growth in Pidie District. Private investment is the least influence variable to economic growth in Pidie District. The need for a policy that could make private government investment spending, and labor increases simultaneously so it is likely to have a positive impact on improving economic growth in Pidie District.

This study empirically examines and analyzes the impact of several macroeconomic indicators on economic growth, namely the extent to which the variables of poverty, human development index (HDI), foreign direct (FDI) and domestic investments (DMI) affect gross regional domestic product (GRDP) at constant prices in 2010 according to expenditure in Indonesia. By using panel data regression and data sourced from 32 provinces throughout Indonesia, the results show that poverty has a negative but not significant effect, FDI has a positive and significant effect, and HDI has a positive and significant effect. On the other hand, Domestic Investment has a positive but not significant effect on GRDP. In an effort to increase the value of GRDP, HDI, and investment (FDI and HDI) that can reduce poverty, the government, the private sector, and the community play an active role in cooperating in planning and implementing effective and efficient strategic program activities, including maintaining social security stability and politics, sustainable reform in all sectors by encouraging the use of domestic products, empowering elements of society including Micro, Small and Medium Enterprises, facilitating various vocational skills training for productive workers and drafting investment-friendly licensing governance regulations. The development of human resources must accompany economic development to reduce the negative impact of economic growth.

This study aims to analyze the effectS of the COVID-19 pandemic, labor, domestic direct investment (DDI), AND foreign direct investment (FDI) on economic growth in Indonesia. The type of data used in this study is panel data, which is a combination of cross-section and THE time series data (Silvia, 2020). The cross-section data involves 34 provinces and time-series data covers the period from the first quarter of 2018 to the second quarter of 2021. The result found out that the regression coefficient of labor has a positive and significant effect at the 5 percent level, which means that if the number of workers increases by 1 percent, economic growth will increase by 0.03 percent. Furthermore, the FDI variable also has a significant and positive effect on economic growth in Indonesia. We can see in table 3.2 that the FDI variable is significant at the 5 percent level with a regression coefficient of 0.012, this means that an increase in FDI by 1 percent will accelerate economic growth by 0.012 percent. From the results of data processing obtained by the author, it can be seen that the DDI variable has a positive but not significant effect on economic growth in Indonesia, this can be seen from the p-value which is greater than 5 percent. The regression coefficient of -0.001 proves that the COVID-19 pandemic has a negative impact on economic growth in Indonesia. When the COVID-19 pandemic reached the territory of Indonesia, economic growth slowed by 0.001 percent.

Poverty is a classic yet interesting topic of discussion because the problem of poverty has not been solved. This study analyzed the role of economic growth in mediating the effects of investment, inflation, and Human Development Investment (HDI) on poverty in Indonesia. Using the multiple regression method of path analysis and the data from 32 provinces in Indonesia, the results showed that investment had a positive effect on economic growth and poverty, but inflation had no effect on economic growth and poverty while HDI had a positive effect on economic growth but a negative effect on poverty. Economic growth mediated the effect of investment and HDI, but not the effect of inflation on poverty. Hence, it can be said that it is not enough for the government to only prioritize economic growth, optimal investment, a higher level of HDI, and a stable inflation rate. They must also strive to reduce inequality between regions, support labour-intensive, well-targeted and direct investments in the real sector, and involve all stakeholders to achieve an effective and efficient national development in the context of poverty reduction.How to Cite:Fitriady, A., Silvia, V., & Suriani. (2022). Does Economic Growth Mediate Investment, Inflation, and Human Development Investment on Poverty in Indonesia? Signifikan: Jurnal Ilmu Ekonomi, 11(2), 437-456. https://doi.org/10.15408/sjie.v11i2.26145.JEL Classification: C33, E22, O11

This study focusses on the effect of agricultural infrastructure and agricultural labor on agricultural economic growth rate in Aceh Province. The method used in this study is panel data regression based on districts/cities panel data period 2015-2019. Results of estimation shows that both factors which are agricultural infrastructure and agricultural labor have significant effect toward agricultural economic growth. Agricultural infrastructure found to have a negative effect while agricultural labor has a positive effect on agricultural economic growth. Furthermore, the panel data regression model that has been formed is found to be fit which means that agricultural infrastructure and agricultural labor are considered capable of representing the factors that influence the economic growth rate of agricultural sector in Aceh Province. Based on these findings it is hoped the government will able to formulate a strategic policy that can accelerate the rate of economic growth rate of the agricultural sector in Aceh Province.

This study aims to analyze the effect of inflation, bank credit, and SMI investment on the growth of small and medium industries in Aceh Province. This study uses panel data consisting of 23 districts/cities in Aceh Province during the period 2014 to 2020. The analysis model used in this study is a panel data regression model. The results found in this study are variables that have a significant effect on the growth of SMIs in Aceh Province are inflation and investment in SMIs. Meanwhile, the banking credit variable has not had a statistically significant effect on the growth of SMIs. The inflation variable has a negative and significant effect on the growth of SMIs so that uncontrolled inflation will have a negative impact on the growth of SMIs. Meanwhile, SMI investment has a positive and significant impact on the growth of SMIs so that various targeted investment policies are needed so that they can support the development of SMIs in Aceh Province.