Panel Data Regression Analysis Research Articles

Pengaruh Struktur Modal, Ukuran Perusahaan Dan Umur Perusahaan Terhadap Nilai Perusahaan: Survey Pada Sektor Makanan dan Minuman Yang Terdaftar di Bursa Efek Indonesia Tahun 2015-2019

This study aims to determine the effect of capital structure, firm size and firm age on firm value in food and beverage companies listed on the Indonesia Stock Exchange. This type of research is quantitative research. The sample used was 19 companies from a population of 26 food and beverage companies listed on the Indonesian stock exchange in 2015-2019. This study uses secondary data, the data analysis method used is the panel data regression analysis method. The results showed that simultaneously capital structure, firm size and firm age had an effect on firm value. Then, partially capital structure and firm age have a significant negative effect on firm value. On the other hand, firm size has no significant negative effect on firm value. The amount of the Adjusted R Square (R2) is 0.692658 or 69.26%, which means that the ability of the independent variable to explain the variation in the dependent variable change is 69.26%, while the rest is 0.30% (100% - 69.26%) is influenced by other factors outside the research variables. The results of this study are expected to be taken into consideration by companies when they want to increase company value.

Financial Modelling of Metal and Mineral Mining Companies in Indonesia using Altman Z-scores

Predictions about a company's financial condition related to bankruptcy are important information for interested parties, such as creditors, investors, government, auditors, and the company's internal management. This research models the financial condition of metal and mineral mining companies through the Altman Z-Score model and panel data regression analysis. This study focuses on a sample of nine companies involved in metal and mineral mining from 2017 to 2022. In this study, the Altman method was used to determine a company's health category using the Z-score standard. Panel Data Regression modelling showed that the fixed model was the best. The partial test results indicated that WCTA and RETA did not affect the Altman Z-score. However, when considering all the ratios simultaneously (WCTA, RETA, MVBV, and STA), they contribute to predicting a company's financial condition. These results highlight the importance of understanding the variables that influence a company's health and progress. Notably, the variables of WCTA, RETA, and STA play a crucial role in determining the Altman Z-score and contribute to our understanding of a company's financial condition.

PENGARUH ZAKAT, PENDAPATAN ASLI DAERAH, ANGKATAN KERJA, DAN PENANAMANAN MODAL TERHADAP PERTUMBUHAN EKONOMI JAWA TENGAH

The research aims to analyze the influence of zakat, local income, labor force, and investment both domestic and foreign on economic growth in Central Java. The data used is secondary from the Central Statistics Agency and BAZNAS in 10 districts/cities in Central Java Province during the 2018-2022 periods. The data used comes from. The method used is panel data regression analysis. The research results show that the variables of domestic investment and labor force do not have a significant effect on economic growth. Variables that have a significant influence on economic growth in Central Java are zakat, local income and foreign investment.

The Influence of Revenue, Operational Expenses, and Tax Expenses on Financial Performance in Construction Services Companies Listed on The Indonesian Stock Exchange

This study aims to determine the influence of revenue, operating, and tax expenses on financial performance in construction service companies listed on the Indonesia Stock Exchange in 2017-2020. The variables tested in this study consisted of the influence of income, operating expenses, and tax expenses as independent variables and proxied financial performance with operating profit margin as the dependent variable. The population in this study are construction service companies listed on the Indonesia Stock Exchange for the period 2017-2020. The sampling technique used in this study was purposive sampling, and a sample of 48 data from 12 construction service companies listed on the Indonesia Stock Exchange for the period 2017-2020 that met specific criteria was obtained. The data analysis technique used in this research is panel data regression analysis and classical assumption test. The results of this study indicate that income has a positive and significant effect on the company's financial performance, operating expenses have not a positive and not significant impact on the financial performance of the company, and tax expenses have not a positive and not significant effect financial performance and revenue, operating expenses and tax expense together do have a simultaneous and significant effect on the Company's Financial Performance.

KONTRIBUSI INFRASTRUKTUR DALAM MENDORONG PERTUMBUHAN EKONOMI INKLUSIF DI INDONESIA

Poverty, unemployment and inequality are still crucial problems in Indonesia, but they can be resolved through inclusive economic growth. Inclusive economic growth includes equity, equality of opportunity, and protection in market and employment transitions. One factor that can influence inclusive economic growth is infrastructure development. This research aims to analyze the influence of road, electricity, water and telecommunications infrastructure on inclusive economic growth in 34 provinces in Indonesia. Testing was carried out in 34 provinces in Indonesia in the 2015-2021 research year. This research uses a quantitative approach and panel data regression analysis using the Random Effect Model (REM) approach using Eviews 12 software.The results of this research show that road and electricity infrastructure have an insignificant and negative effect, and water and telecommunications infrastructure have a significant and positive effect on inclusive economic growth in Indonesia. Simultaneously, road, electricity, water and telecommunications infrastructure have a significant impact on inclusive economic growth. The implication of this research is that further research is needed regarding the influence of infrastructure on inclusive economic growth in Indonesia and the government needs to develop good quality infrastructure that is evenly distributed throughout all regions in Indonesia, so that inclusive economic growth can be achieved

An improved low‐carbon intelligent agriculture system with energy optimization principles using wireless IoT environment

AbstractA low‐carbon agricultural plan and intelligent agriculture control system are designed and completed with a green economy to foster the significant expansion of green resources and environmental assets. This research employs a fixed‐effect panel model to examine the farming cumulative energy savings in 11 cities and regions along the Yamuna Tributary Commercial Region, focusing on both static and dynamic factors. The directional linear equation and the Malmquist–Luenberger (ML) indicator are the key analytical tools. Unlike conventional techniques, regression analysis using cross‐sectional data is the primary tributary. Research has found that a 5.9% decrease in the literacy rate of the working force had a large impact on farming energy efficiency and that for each 1% rise in crop losses, farm energy efficiency would decrease by 0.487%. In addition to mitigating the detrimental effects of industrial design and mechanization on agricultural output, this effort aids in the advancement of smart city design. This activity paves the way for cutting‐edge technology by encouraging people to move to cities, educating the workforce, and giving money to the agricultural sector. The ability of proposed model gives the smart agriculture system with intelligent control principles and energy optimization principles in the deployed wireless‐IoT platform. On this research problem, this paper contributes to new knowledge by approaching agricultural energy efficiency from a green economy perspective, conducting regression analyses of panel data on the most important influencing factors using the advanced statistical analysis tool Eviews, and then drawing the conclusion from the evaluation of metrics that affect farming energy efficiency in our nation. Enhancing productivity while also fostering long‐term growth in the agricultural ecosystem is crucial. It contributes for smart and green technologies adaptation in agriculture filed.

Pengaruh Kesehatan Reproduksi Wanita dan Pemberdayaan Wanita Terhadap Tingkat Partisipasi Angkatan Kerja Wanita di Indonesia

This study aims to find out and analyze how the influence of women's reproductive health and women's empowerment on the participation rate of the female workforce in Indonesia. This study used secondary data sourced from the Indonesian Central Bureau of Statistics with the research variables grouped into two parts, namely the bond variable which in this study was determined as the female labor force participation rate and the independent variables consisting of women's life expectancy, young women's marriage, female mother, female education level, female per capita income and female involvement in parliament. This study uses panel data regression analysis with the selected method, namely the Common Effect Model (CEM). The results showed that women's life expectancy, young women's marriage, women's fertility rates and women's involvement in parliament each had a negative and insignificant effect on women's labor force participation. Women's education level has a negative and significant effect on female labor force participation and women's per capita income has a positive and significant effect on female labor force participation.

Determinan Tingkat Kejahatan Properti (Property Crime) di Indonesia

This study aims to find out and analyze how the Determinants of Property Crime Rate in Indonesia. This research is an effort to add to the existing literature on property crime research in developing countries, especially Indonesia. The type of data used in this study is secondary data sourced from the Central Statistics Agency (BPS) which is grouped into two parts, namely the dependent variable namely Property Crime and the independent variable consisting of Population Density, Education Level, Unemployment, Income Inequality and Police Power. This study used descriptive and inductive analysis. This study uses panel data regression analysis using the Fixed Effect Model (FEM) method with cross section of 34 Provinces in Indonesia and time series 2018 – 2021. The findings in the results of this study revealed that the variables of population density, education level, unemployment and police strength had a significant effect however, on the variable of income inequality did not have a significant effect on the level of property crime in Indonesia.

PENGARUH LEMBAGA KEUANGAN MIKRO TERHADAP PERTUMBUHAN SEKTOR PERTANIAN INDONESIA

The agricultural sector is a crucial sector in the Indonesian economy, this can be seen from its contribution to Gross Regional Domestic Product in 2022 of 12.40%. One of the problems faced by farmers is in terms of capital. The aim of this research is to analyze the influence of the number of MFIs and the financing provided by MFIs in Indonesia. This research uses quantitative methods with panel data regression analysis techniques for 2019-2022 in 21 provinces in Indonesia. The results of this research show that the number of microfinance institutions has no effect on the growth of the agricultural sector, this occurs because the existence of microfinance institutions is not evenly distributed in Indonesia. Then the financing provided by microfinance institutions has a negative effect on the growth of the agricultural sector, this is thought to be due to farmers' moral hazard and weak regulations that form the legal basis for MFIs.

Intellectual capital and asset quality: A nonlinear investigation in the Turkish Banking sector

This study aims to investigate the intricate relationship between intellectual capital and asset quality within the context of the Turkish banking sector to determine the optimal level of intellectual capital investment that can enhance the asset quality of deposit banks. The study relies on panel data regression analysis to explore this complex relationship, and its dataset encompasses 22 deposit banks over 17 years, from 2005 to 2021. The study provides compelling evidence of a nonlinear relationship between intellectual capital and asset quality. It pinpoints an optimal threshold for intellectual capital investments, beyond which further increases can erode asset quality. Furthermore, the study identifies specific intellectual capital components that impact the asset quality of state-owned, privately owned, and foreign deposit banks differently. The findings indicate that optimizing human capital efficiency and capital employed efficiency is critical for enhancing the asset quality of deposit banks. In contrast, the significance of structural and relational capital efficiency may vary, demanding a careful balance of investment strategies.

The Influence of Ownership Structure, Business Risk, Growth Opportunity on Dividend Policy

The aim of this research is to determine the effect of Ownership Structure, Business Risk and Growth Opportunity on Dividend Policy in Consumer Companies listed on the Indonesia Stock Exchange in 2017 – 2022. Through the purposive sampling method, samples were collected from 36 companies for 6 years for research puproses. By utilizing Microsoft Excel and Eview 9 application software, the analysis process for this research involves panel data regression analysis. According to research, dividend policy is influenced by ownership structure and business risk and growth opportunity. Share ownership structure has no effect on Dividen Policy, while business risk partially has an effect on Dividend Policy and Growth Opportunity has no effect on dividend policy

Analysis of the human development index in East Java Province 2017-2021

This research aims to determine Population, Education and Minimum Wages on the Human Development Index. The dependent variable is the Human Development Index, while the independent variables are Population, Education and Minimum Wage. The data used in this research is secondary data which examines data for 5 (five) periods 2017 – 2021 with Regencies/Cities in East Java Province. The research method used is panel data regression analysis. The tool used to carry out testing is Eviews 9. The tests used in this research are the FE, CE, RE, Chow, Hausman and LM tests. The results of this research are: 1) Population is significant and has a positive effect on the Human Development Index in the Regency/City of East Java Province, 2) Education is significant and has a positive effect on the Human Development Index. and 3rd) Minimum Wage has a significant negative effect on the Human Development Index.

Provincial palm production analysis East Kalimantan 2016-2020

This research aims to determine the influence of labor variables and land area on palm oil production in East Kalimantan Province. The dependent variable used is Palm Oil Production, while the independent variables used are Labor and Land Area. The data used in this research is secondary data which examines data for the 5 (five) year period 2016 – 2020 with districts/cities in East Kalimantan Province. The research method used is panel data regression analysis. The results of this research are that the Labor variable has a significant and positive effect on Palm Oil Production in 10 Regencies and Cities of East Kalimantan Province, and Land Area has a significant but negative effect on Palm Oil Production in 10 Regencies and Cities of East Kalimantan Province.

The Effect of Activity, Liquidity, Profitability, And Solvency on Stock Prices and Implications on Firm Value: Pharmaceutical Industry Sub-Sector Companies

Objectives: This research aims to conduct a descriptive and verificative analysis of the condition of Activity Ratio, Liquidity, Profitability, Solvency, and Stock Price in the pharmaceutical industry on the Indonesia Stock Exchange from 2009 to 2020. Additionally, the study aims to identify and analyze the extent to which Activity Ratio, Liquidity, Profitability, and Solvency influence Stock Price and its implications on Firm Value. Quantitative data will be used to gather the necessary information for analyzing the relationships between these variables.Methodology: This study utilized a sample of 7 companies selected through purposive sampling, which involves choosing samples based on specific criteria. The data used for analysis is secondary data obtained from the annual reports available on the official website of the Indonesia Stock Exchange (IDX). The data analysis methods employed in this study include panel data regression analysis, multiple linear regression analysis, hypothesis testing, and determination coefficient analysis.Finding: The findings of the study revealed that when considered collectively, the Activity Ratio, Liquidity, Profitability, and Solvency variables had a significant impact on the Stock Price, as indicated by a coefficient of determination (R2) of 69.92%. Individually, the Activity Ratio exhibited a negative and significant influence on the stock price, while profitability demonstrated a positive and significant effect on the stock price. On the other hand, liquidity and solvency were found to have no significant effect on the stock price. Additionally, the study identified a significant relationship between Stock Price and Firm Value The results show that the company's activity (Activity Ratio), liquidity (Liquidity), profitability (Profitability), and solvency (Solvency) have a significant impact on stock prices. Companies with high activity levels, good liquidity, high profitability, and strong solvency tend to have higher share prices. This research provides an understanding of the factors that influence stock prices and can assist investors, financial analysts, and companies in making investment decisionsConclusion: The conclusions of this study are Activities measured by TATO, Liquidity measured by CAR, Profitability measured by ROA in pharmaceutical industry sub-sector companies for the 2009-2020 period tend to decrease, while Solvency measured by DAR and Firm Value in pharmaceutical industry sub-sector companies for the 2009-2020 period tends to increase,

Can fiscal transfers effectively reduce poverty in the Gorontalo Province?

The central government has increasingly diversified and expanded fiscal transfers to local authorities to enhance community welfare rapidly. However, in Gorontalo, although poverty rates have declined, the pace of reduction has slowed despite an increase in the value of transfers. This study aims to identify the fiscal transfer mechanisms most effective in reducing Gorontalo's poverty rate. It focuses on several types of fiscal transfers, including the Special Allocation Fund (DAK), Village Fund Allocation (ADD), Family Hope Program (Program Keluarga Harapan, PKH), Smart Indonesia Program (Program Indonesis Pintar, PIP), and Social Assistance. Utilizing panel data regression analysis covering all six districts/cities in Gorontalo Province over the last five years (2018-2022) and employing the Fixed Effects Model (FEM), the findings suggest that PIP assistance has the most significant impact on poverty reduction, although its effects are more long-term. Moreover, the study finds that while ADD transfers notably enhance community welfare, the two-decade-long DAK transfers have inadvertently worsened poverty levels in Gorontalo. This issue stems from the DAK's allocation formula, which does not directly target the income improvement of low-income populations. Both PKH and Social Assistance have shown little positive effect on poverty alleviation in the region. Consequently, the study recommends that the government prioritize expanding and funding enhancement of PIP assistance, considering many underprivileged individuals remain unreached by this support. Additionally, it suggests increasing the ADD to accelerate development in poverty-stricken rural areas.

A Cross-Country Analysis of Islamic Bank’s Performance in Malaysia and Indonesia

This study aims to examine the financial performance of Islamic banks in Indonesia and Malaysia, with a specific focus on optimizing shareholder value. The assessment includes efficiency, market share, interest rates, inflation and economic growth as crucial criteria in comprehending the success of Islamic banks in each country. The secondary data is derived from the annual reports of 25 Islamic banks in Indonesia and Malaysia, with a focus on characteristics pertaining to operational efficiency and market share. Furthermore, data is obtained from Bank Indonesia (BI) to gather statistics regarding inflation, interest rates, and GDP growth from the years 2018 to 2021. The study used panel data regression with a random effects model as the most accurate estimator. The results of the panel data regression analysis suggest that inflation has a favorable effect on return on equity (ROE), while GDP growth has a beneficial impact on return on assets (ROA). This research highlights the importance of enhancing inflation risk management and making strategic adaptations to the business plans of Islamic banks in Malaysia and Indonesia. This research enhances the scholarly comprehension of the variables affecting the efficiency of Islamic banks in diverse economic conditions.

EFEK MODERASI KEBIJAKAN DIVIDEN PADA PENGARUH KINERJA KEUANGAN TERHADAP HARGA SAHAM PERUSAHAAN INDEKS LQ45 YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2018-2022

This research aims to test and analyze the moderating effect of dividend policy on the influence of the Current Ratio (CR), Debt to Equity Ratio (DER), and Return On Equity (ROE) on the share prices of LQ45 Index companies listed on the Indonesian Stock Exchange for the 2018-2022 period. This type of research is causal associative research (cause and effect) with a data collection method, namely a sample survey. Sampling in this study used a purposive sampling technique with certain criteria to obtain a sample of 15 companies with a research period from 2018-2022. The data analysis method used to solve the problems in this research is panel data regression analysis with the help of the EViews 12 program. The results of the research show that Current Ratio (CR) has a positive and not significant effect on stock prices, Debt to Equity Ratio (DER) has a negative and not significant effect on stock prices, Return On Equity (ROE) has a positive and significant effect on stock prices, Dividend Payout Ratio (DPR) is unable to moderate the influence of Current Ratio (CR) on stock prices, Dividend Payout Ratio (DPR) is able to moderate the influence of Debt on Equity Ratio (DER) on share prices, and Dividend Payout Ratio (DPR) are unable to moderate the influence of Return On Equity (ROE) on share prices.

Dynamics of Idxenergy Stock Returns: A Comprehensive Analysis of GDP, Exchange Rates, DJIA Index and Oil Prices

The movement of stock returns is a complex phenomenon that can be influenced by a number of factors, both macroeconomic and global factors. This study aims to explore the relationship and understand the extent to which these factors affect stock return movements, especially in the context of macroeconomic and global dynamics. The population of this study consists of companies listed in the IDXENERGY sector. Purposive sampling is used as a sample selection technique and 30 companies that meet the criteria are obtained. Panel data regression analysis with a significance level of 5% was conducted using Eviews 13. The research findings show that GDP has a negative impact on stock returns, while exchange rates, DJIA Index, and world oil prices have a positive impact on stock returns

FINANCIAL REPORTING FRAUD: AUDIT COMMITTEE AS MODERATION

This study aims to investigate the influence of the audit committee in moderating the association between financial targets, financial stability, changes in directors, ineffective supervision, optimal conditions of the company, changes in auditors, the CEO's photograph, government projects, political connections, and managerial ownership on financial statement fraud. When examining instances of financial statement fraud, it is important to take into account the involvement of the audit committee in addition to other variables. The Beneish M-Score Model is used to quantify financial statement fraud. The study focuses on analyzing a sample of 49 infrastructure sector companies listed on the Indonesia Stock Exchange (IDX) between 2020 - 2021. The analysis employs panel data regression analysis with 98 units, utilizing the EViews 13 analytical tool to test the hypothesis. The findings of this study indicate that a company's financial target significantly impacts the likelihood of financial statement fraud. Factors such as financial stability, changes in directors, monitoring, the company's ideal condition, changes in auditors, CEO photographs, government projects, political connections, and managerial ownership do not affect the likelihood of financial statement fraud. The presence of an audit committee has a moderating effect on the occurrence of financial statement fraud as each independent variable becomes less influential.

THE DETERMINATION ACCOUNTING CONSERVATISM IN THE INDONESIA BANKING SECTORS

This research is a quantitative study that aims to analyze the significant influence of growth opportunities, bonus plans, political costs, tax incentives and CEO pensions on accounting conservatism in banking sector companies listed on the Indonesia Stock Exchange for the 2018-2020 period. Accounting conservatism as the dependent variable. This research uses secondary data in the form of annual reports and company financial reports with a research sample of 43 banking companies. The analytical method used is panel data regression analysis with SPSS version 14 data processing tools. The results of this research prove that (1) growth opportunities do not have a significant effect on accounting conservatism. (2) bonus plans have no significant effect on accounting conservatism. (3) political costs do not have a significant effect on accounting conservatism. (4) tax incentives have a significant effect on accounting conservatism. And (5) CEO retirement has a significant effect on accounting conservatism