A nation's economic health can be gauged by looking at factors like its rate of economic growth. The goal of this research was to identify both long- and short-term relationships among factors that influence economic growth in Indonesia. The period between 1988 and 2017 was used for analysis. In this case, the Error Correction Model is employed (ECM). This research shows that PMA has a positive and statistically insignificant effect both immediately and over time. Inflation is a major drag on economic growth both in the short and long term. To be sure, the export variable has a negative effect in the short term, but in the long run, it has a positive and insignificant effect.

This study objective is to determine whether and how exposure to financial stress and leverage can prompt accountants to exercise greater caution when working with numerical data. The investigation covered 165 manufacturing companies that were scheduled to be listed on the Indonesia Stock Exchange in 2020. For the purpose of this study, a purposive sampling technique was utilized to select a total of 52 different companies at random. The records of the company's finances that have been audited are the source of the secondary data. The approach taken in this study is primarily based on the use of quantitative methods. SPSS version 26's descriptive statistics, multiple linear regression, analysis requirements, classical assumption, and hypothesis testing features were utilized in order to conduct the analysis on the collected data. According to the findings of the study, there is no statistically significant connection between financial hardship and conservative accounting practices. Leverage does not significantly alter the cautious nature of accounting. Moreover, the combined effects of financial distress and leverage have little to no visible influence on the conservative accounting process.

This research aims empirical evidence regarding the impact of the inflation rate, the BI Rate, the dollar exchange rate, and the interest rate on the Composite Stock Price Index (JCI). Composite Stock Price Index (JCI) is one of the indexes that investors frequently consider when making investments on the Indonesia Stock Exchange. Therefore, the authors wish to investigate the factors that influence the CSPI in greater detail. This study's population comprises the overall annual data for the inflation rate, BI Rate, Exchange Rate, and Composite Stock Price Index (JCI) from 1991 to 2020. The sampling method employed is a saturated sample in which the entire population is represented. This study employs the ECM technique. The results indicated that the inflation rate, the BI Rate, and the Dollar Exchange Rate (USD/IDR) partially influenced the Composite Stock Price Index (JCI).

Indonesia cannot avoid the issue of poverty because it is a developing nation with a growing population. During the period from 1992 to 2019, the number of poor people in Indonesia fluctuated, fluctuating between increases and decreases each year. Therefore, it is necessary to conduct an analysis in order to determine the factors that contribute to poverty. This study's aims to examine the impact of income inequality, economic growth, and unemployment on poverty in Indonesia between 1992 and 2019. Time series data are utilized. The data utilized for analysis are secondary data from the World Bank and the Central Statistics Agency (hereinafter referred to as BPS). Through the E-views 10 software, the analysis tool employs the Engle Granger-Error Correction Model. The findings indicate that (1) short- and long-term income inequality has a negligible impact on poverty in Indonesia and (2) short- and long-term economic growth has a positive impact on poverty in Indonesia. on the long term, poverty in Indonesia has a significant impact In Indonesia, between 1992 and 2019, unemployment has no significant short-term impact on poverty, but a significant long-term impact.

The Budget Realization Report (LRA) published by local governments provides very useful information for assessing regional financial performance. LRA is one of the most important regional financial accountability reports. Based on the LRA. the reader of the report can analyze the performance of financial statements in the form of income analysis, expenditure analysis and financing analysis. The objective of this study was to determine and analyze the performance of spending in the budget realization report (LRA) of the Magelang City Social Service. The analytical methods used are: analysis of spending variance, analysis of spending growth, analysis of shopping compatibility and analysis of spending efficiency. Based on the results of the analysis that has been carried out, it can be concluded the proposed hypothesis is rejected because spending performance declined in 2020, which is as evidenced by 1) in 2020 the number budget of 3.583.423.000 and realization of expenditure of 3.339.361.981 decreased in 2019 with a budget of 6.275.307.000 and its realization 5.599.423.671; 2) the variance of spending in 2020 is lower than in 2019; and 3) spending growth ratio in 2020 decreased by 6.8108347521.

This study leads to an analysis of the relationship between exports, imports, and central government spending on the growth of the Indonesian economy. In this study, we selected periodic data throughout 1990-2020 obtained from the World Bank and Financial Notes. The ECM (Error Correction Model) analysis method is used in this study. Then tested using the stationary test, cointegration test, and the classical assumption test. This study obtained the results that export and import variables have an influence on economic growth in the short term, while central government spending has an influence on economic growth in the long term. Therefore, the researcher concludes that better government involvement in economic growth is needed for the economy to function smoothly. To avoid a negative trade balance, the government must be able to control both exports and imports, as well as budgetary spending. In this situation, the government is viewed as a policymaker and a state stakeholder, and it is hoped that it will make sound policy decisions that will benefit Indonesia's economy.

This study seeks to discover the effect of Capital Adequacy Ratio (CAR), Non Performing Loan (NPL), Debt to Equity Ratio (DER) on ROA of IDX-listed banks before and during the covid-19 pandemic. The data collection method used is the documentation method. The population in this study are commercial banks listed on the Indonesia Stock Exchange in 2019 - 2020 with a total of 43 banks. The sample used is 37 Banks using the purposive sampling technique. The data analysis technique used is multiple linear regression analysis, basic assumption test, classical assumption test, and hypothesis testing. The results of this study indicate that CAR does not have a significant positive effect on ROA, NPL has a significant negative effect on ROA, and DER does not have an effect on ROA. There is no difference in CAR, NPL, DER to ROA before and during the covid-19 pandemic. Given the special situation that has an influence on the financial sector in the world, there are no differences in financial performance variables in Indonesia before and during the pandemic. This is due to risk mitigation and Risk Management in banking in Indonesia is good enough so that it does not have a significant impact.

This study aims to examine the effect of Indonesia's real GDP, the area of Indonesian tobacco cultivation, and the quantity of Indonesian tobacco production on the quantity of Indonesian exports. This study uses Autoregressive Distributed Lag (ARDL) with time series data from 1975 to 2018 as its analytic tool. The information contained in this study was compiled from periodic reports published by organizations such as the Directorate General of Plantations and the World Bank between 1975 and 2018. The probability value for the number of exports should not exceed 5% if the test results for the short-term real GDP of Indonesia are positive and non-significant. Long-term, the amount of national tobacco production has a positive and significant effect on the quantity of tobacco exports from Indonesia. The long-term stability of the CUSUM and CUSUMQ test results for both analytical models

Poverty is a problem of non-accomplishment of individual welfare and is one of Indonesia's complex issues. Poverty is influenced by economic variables that are interrelated. This study was undertaken from 2012 to 2017 to examine the association between population, Human Development Index (HDI), and Gross Domestic Product (GDP) and poverty in the Kedu residence region. This study employs a regression method on panel data. Results indicated that population, HDI, and economic growth had a significant impact on the level of poverty in Kedu Residency. Meanwhile, the results of the F test indicate that the Population (JP), Human Development Index (HDI), and Economic Growth (GDP) variables have a significant impact on the Poverty Level simultaneously.

Export is one of the international trades that can increase the country's economy and foreign exchange. This study aims to determine the effect of foreign investment and international prices on the export volume of apparel (convection) from Indonesian textiles with the Export VAT Restitution Policy as a Dummy Variable for 2005-2019. This research is quantitative research. The method used in this study is a simple regression method with the OLS model. The results of the study highlight that the foreign investment variable and international prices had a significant effect on the export volume of Indonesian apparel, but the export VAT restitution policy had no effect on the export volume of Indonesian apparel because other policies were needed to support these policies in order to increase exports.