Panel Data Regression Analysis Research Articles

The impact of poverty, malnutrition, and household income on human development in Central Sulawesi, Indonesia: A panel data analysis

Central Sulawesi has been grappling with significant challenges in human development, as indicated by its Human Development Index (HDI). Despite recent improvements, the region still lags behind the national average. Key issues such as high poverty rates and malnutrition among children, particularly underweight prevalence, pose substantial barriers to enhancing the HDI. This study aims to analyze the impact of poverty, malnutrition, and household per capita income on the HDI in Central Sulawesi. By employing panel data regression analysis over the period from 2018 to 2022, the research seeks to identify significant determinants that influence HDI and provide evidence-based recommendations for policy interventions. Utilizing panel data regression analysis with a Fixed Effect Model (FEM), the study reveals that while poverty negatively influences with HDI, underweight prevalence is not statistically significant. In contrast, household per capita income significantly impacts HDI, with lower income levels leading to declines in HDI. The findings emphasize the need for comprehensive policy interventions in nutrition, healthcare, and economic support to enhance human development in the region. These interventions are crucial for addressing the root causes of underweight prevalence and poverty, ultimately leading to improved HDI and overall well-being. The originality of this research lies in its focus on a specific region of Indonesia, providing localized insights and recommendations that are critical for targeted policy making.

How social and environmental investments attract and repel foreign investors: Insights on shareholder and stakeholder engagement

AbstractThis study investigates the diversifying impact of social and environmental investment (SEI) to attract and repel foreign investors (FIs) while determining to invest in environmental friendly firms. By analyzing SEI strategies within the Chinese context and employing panel data regression analysis, this study reveals numerous major insights. First, firms implementing average SEI strategies tend to attract greater investments from FI. On the other hand, above average SEI do not yield similar benefits, indicating that over‐investments in social and environmental projects could repel potential investors, and result in a transfer of wealth from shareholders to stakeholders. Furthermore, the present study reveals that firm performance strengthens the positive association between average SEI and FI. Finally, this study finds that the negative relationship between above‐average SEI and FI is intensified when firm performance is considered as a moderating factor. These insights are crucial for policymakers in formulating strategies to enhance foreign investments.

Economic Performance: Impact of Implementing Environment Cost and Disclosure Carbon Emissions Fiqh Al Bi'ah (Environment) Analysis Approach

The development of environmental issues is of concern to the public in encouraging companies' awareness to carry out environmental management in their business activities, where companies can plan environmental cost budgets and make disclosures of the impact of carbon emissions produced in order to achieve their goal, namely the sustainability of the Company, namely the Company's economic performance will increase. This research aims to see the impact of environmental costs and carbon emission disruption on economic performance and is analyzed using environmental fiqh (bi'ah). This research is quantitative research. The type of data used is secondary data obtained from the Company's official website. The population in this study are manufacturing companies listed on the Jakarta Islamic Index for 2019-2021. The research sample consisted of 8 companies from the 2019-2021 period, totaling 32 samples. The sampling technique used in this research was purposive sampling. The data analysis used is panel data regression analysis using the SEM PLS data modeling program. The results of the research show that environmental cost and carbon emission disclosure variables have a significant negative influence on economic performance and the results of environmental fiqh (al bi'ah) analysis are in accordance with the verses of the Koran which discuss environmental damage which is something that is absolutely not justified because it will bring negative impact on the sustainability of living creatures or organizations and companies. These limitations suggest that future research could expand the sample size, consider a wider range of sustainability practices, and explore the relevance of environmental performance in different cultural and industry contexts.

THE INFLUENCE OF GREEN BANKING IMPLEMENTATION, ISLAMIC SOCIAL REPORTING AND COVID-19 CRISIS ON PROFITABILITY WITH BANK SIZE AS A MODERATING VARIABLE IN ISLAMIC GENERAL BANK PERIOD 2016-2023

This study uses bank size as a moderating variable to examine the effects of the Covid-19 crisis, Islamic social reporting, and the deployment of green banking on profitability in Indonesian Islamic commercial banks. In this work, panel data regression and moderated regression analysis are used as data analysis methods. Eleven Indonesian Islamic commercial banks that were registered with the OJK between 2016 and 2023 used as the study's sample. The study's findings show that Islamic commercial banks' profitability is significantly and favorably impacted by ISR. Profitability (ROE) is significantly impacted negatively by the Covid-19 situation, but not ROA. In the meantime, Islamic commercial banks' profitability is unaffected by green banking. The association between green banking and profitability may be moderated by the moderating variable of bank size. This research highlights how crucial risk management, responsibility, and openness are in a period of unpredictable economic times. In the context of Islamic banking, the impact of ISR procedures and reactions to financial crises like COVID-19 is quite significant. Islamic banks should see an improvement in their financial performance in the future by strengthening their ISR management and comprehending the implications of green banking.

Unlocking sustainability: exploring the nexus of green banking, digital transformation, and financial performance with foreign ownership moderation

The purpose of this research is to empirically test and analyze the impact of green banking, digital transformation, and asset quality on the financial performance of commercial banks with foreign ownership as a moderator. Additionally, it aims to test and analyze the financial performance of sustainable business practices for commercial banks. This study was conducted on commercial banks, specifically focusing on bank groups categorized by core capital levels 3 and 4, listed on the Indonesia Stock Exchange, covering the period from 2017 to 2022. This research employed a judgment sampling technique, encompassing a total of 47 conventional commercial banks. Panel data regression analysis, a data analysis technique, used three variables: the dependent variable, the independent variable, and the moderation variable. The research unveiled that green banking does not appear to have a significant positive impact on financial performance, whereas digital transformation shows a clear positive effect. Non-performing loans, a measure of asset quality, also affect financial performance. Additionally, foreign ownership strengthens the impact of green banking on the financial performance of commercial banks in Indonesia. However, foreign ownership does not enhance the effect of digital transformation. Finally, foreign ownership plays a moderating role in the relationship between asset quality and financial performance in these banks. Ultimately, financial performance has a significant positive influence on sustainable business, suggesting that stronger financial performance contributes to the long-term sustainability of a bank’s operations. The implications of these findings are, first and foremost, that financial institutions should prioritize incorporating sustainable and environmentally friendly practices into their operations to improve their overall financial performance and emphasize the critical role of digital transformation in enhancing financial performance. Consequently, financial institutions are required to allocate resources towards information technology infrastructure and cultivate digital capabilities to adapt to evolving customer demands, such as offering 24/7 banking services from any location. Secondly, financial institutions should not stay far away from digital disruption, but rather embrace it and adapt their strategies accordingly, which includes allocating an adequate budget for IT infrastructure investment and accessing digital services that meet the banking industry’s demands, resulting in effective communication of sustainable practices.

Panel Data: Study Of Income Inequality In West Sumatra

This research aims to analyze the factors that influence income inequality in West Sumatra Province. Some of the variables that are taken into consideration are: unemployment, education and poverty. The research uses secondary data from the Central Statistics Agency (BPS), using panel data regression analysis in 19 Regencies/Cities in West Sumatra Province, during 2017-2023. The selected research model uses the Fixed Effect Model (FEM). The research results show that: (1) the unemployment variable has a positive and insignificant effect on income inequality, (2) the education variable has a negative and significant effect on income inequality, (3) the poverty variable has a positive and significant effect on income inequality.

PENGARUH CORPORATE SOCIAL RESPONSIBILITY (CSR), FINANCIAL DISTRESS, CORPORATE’S GROWTH, DAN FIRM SIZE TERHADAP EARNINGS RESPONSE COEFFICIENT (ERC)

The purpose of this study is to determine the influence of corporate social responsibility (CSR), financial distress, corporate's growth and firm size on earnings response coefficient (ERC). The data analysis method used in this study is a quantitative method and uses panel data regression analysis techniques. The population in this study is manufacturing companies listed on the Indonesia Stock Exchange in 2015-2022. The results show that financial distress has an effect on earnings response coefficient (ERC), corporate social responsibility (CSR), corporate's growth, and firm size has no effect on earnings response coefficient (ERC).

Determinan Pertumbuhan Ekonomi Negara Asean-10: Model Data Panel

This study aims to analyze the effect of investment, exchange rate, labor, and human development index (HDI) variables on economic growth in ASEAN countries. This study uses panel data regression analysis with time series data from 2011-2022 and cross-section data from 10 ASEAN countries. The results showed that the Fixed Effect Model was selected as the best model in the study. The results of the analysis concluded that investment and labor have a positive and significant effect on economic growth and HDI has a negative and significant effect on economic growth. Meanwhile, the exchange rate does not have a significant effect on economic growth. In other words, increasing investment and labor will increase economic growth, conversely if the HDI increases it will not increase economic growth. In addition, the exchange rate has no effect on economic growth in 10 ASEAN countries.

Pengaruh Solvabilitas, Profitabilitas, Kepemilikan Institusional, Dewan Komisaris Independen, dan Kepemilikan Publik terhadap Pengungkapan Manajemen Risiko: Studi pada Perusahaan Sub-sektor Perbankan yang Terdaftar di Bursa Efek Indonesia Tahun 2018-2022

The object of this research is a banking sub-sector company listed on the Indonesia Stock Exchange for the period 2018-2022. This study aims to determine the effect of leevrage, profitability, institutional ownership, independent board of commissioners, and public ownership as independent variables and risk management disclosure as the dependent variable. This study used 35 companies, so there were a total of 175 samples used. The study used purposive sampling as a sample selection method used for the selection of certain criteria. This study applied descriptive statistical analysis method and panel data regression analysis. The results of this study show that all variables simultaneously influence risk management disclosure. Meanwhile, leverage, profitability, and independent board of commissioners each have no effect. Meanwhile, institutional ownership and public ownership positively affect risk management disclosure.

The Effect of Liquidity on Performance of Consumer Cyclical Companies Listed on the Indonesian Stock Exchange

This study examines the effect of liquidity on company performance in the cyclical consumer sector listed on the Indonesian Stock Exchange (IDX) with a focus on 40 companies for a five years from 2019-2023. This study uses panel data regression analysis and purposive sampling techniques, with the dependent variable being profitability as measured by return on equity (ROE). Independent variables consist of current ratio and quick ratio, while control variables include tangible assets, company size, company age, inflation rate, and GDP growth. The results show that the current ratio produces a positive effect on company performance, while the quick ratio shows a negative effect. In addition, tangible assets and company size do not have a significant effect on company performance. The age of the company proved to have a negative influence, while the inflation rate did not show a significant influence. On the other hand, GDP has a positive influence on company performance. The results of this study can be taken into consideration for companies in making strategic decisions to increase profitability in the cyclical consumer sector.

The Influence of Financial Risk on the Financial Performance of Commercial Banks Listed on the IDX

This study aims to analyze financial risks, including capital risk, liquidity risk, and operational risk, in relation to financial performance, measured by return on assets (ROA) and return on equity (ROE). The study also includes bank size as a control variable in assessing financial performance. The research employs purposive sampling to select samples, focusing on conventional commercial banks listed on the Indonesia Stock Exchange (IDX) over a five-year period from 2019 to 2023. Data were collected from 33 banks and analyzed using descriptive statistics and a fixed effects model for hypothesis testing. Data analysis was conducted through panel data regression analysis using E-views 9.0. The findings of this study indicate that (1) capital risk does not impact financial performance, (2) liquidity risk has no effect on financial performance, (3) operational risk has a significant negative effect on financial performance, and (4) bank size does not influence financial performance. Based on this research, it is recommended that banks thoroughly evaluate operational risks. Future researchers are encouraged to include additional independent variables and extend the sample period for more accurate results.

Analisis Pengangguran Terdidik di Indonesia

This study aims to determine and analyze Educated Unemployment in Indonesia. The data used is secondary data from 2013 to 2022 with a sample of 33 provinces in Indonesia obtained from the Central Statistics Agency (BPS) and the Investment Coordinating Board (BPKM). This study uses panel data regression analysis with the best model chosen is the Fixed Effect Model (FEM). The results found that: (1) Provincial Minimum Wage has a positive and significant effect on the number of educated unemployed in Indonesia, (2) Economic Growth has a negative and signific ant effect on the number of educated unemployed in Indonesia, (3) Foreign Direct Investment has a negative and insignificant effect on the number of educated unemployed in Indonesia and (4) Covid-19 Dummy Variable shows that during Covid-19 the increase in the number of educated unemployed in Indonesia is not significant compared to before Covid-19 occured. Based on the research, it is recommended for the government to protect labor by setting a minimum wage without ignoring the company's ability and the government is expected to create a labor-intensive investment climate.

The influence of tax burden, intangible assets, and foreign ownership on transfer pricing policies

This research aims to determine and empirically test the influence of tax burden, intangible assets and foreign ownership on transfer pricing policies in energy sector companies listed on the Indonesia Stock Exchange (BEI) during the 2018 2022 period. This type of research is descriptive quantitative which uses secondary data sourced from the company's financial reports that have been published by the company on the Indonesia Stock Exchange (BEI). This research consisted of 84 companies and the number of samples used was 9 companies as research objects for five years. The data analysis technique for testing this hypothesis uses E-views 12 software. Panel data regression analysis is used as the mechanism in this research. The research results show that the tax burden has a significant effect on transfer pricing. Meanwhile, intangible assets and foreign ownership do not have a significant effect on transfer pricing. This is because companies can consider tax burdens, intangible assets and foreign ownership in transfer pricing policies

The roles of task-specific self-efficacy and enjoyment in EFL learners’ development of speaking CALF: A longitudinal study

This longitudinal study adopts a person-centred approach to examine EFL learners’ development of speaking CALF; the fluctuating correlations of affective ID variables (self-efficacy and enjoyment), as well as their impacts on oral task performance over time. Thirty-one Chinese EFL learners completed eight oral tasks bi-weekly over six months, followed by post-task scales to measure task-specific self-efficacy and enjoyment. Data were subjected to group-based multi-trajectory modelling (GBMM) to discern the development of speaking CALF, moving correlation analysis to explore the interactions between task-specific self-efficacy and enjoyment, and panel data regression to examine the longitudinal impact of task-specific self-efficacy and enjoyment on oral task performance. GBMM results revealed variability at both the group and individual levels, despite similar educational backgrounds and learning contexts, as evidenced by differing speaking CALF patterns. Moving correlation analyses revealed dynamic, non-linear trends between self-efficacy and enjoyment. Panel data regression analyses suggested that higher levels of affective ID variables would generate better oral performance, as evidenced by speaking CALF patterns. This study successfully integrated ID variables into TBLT research within a CDST framework for enhancing our understanding of the complex nature of EFL learners’ speaking competence and underscoring the interconnectivity between task-specific self-efficacy and enjoyment.

Analisis Pengaruh Variabel Makro Ekonomi Terhadap Prevalensi Stunting Di Indonesia

This study aims to analyze the influence of Poverty, Economic Growth Rate, Government Policy and Exclusive Breastfeeding on Stunting Prevalence in Indonesia. This study uses a panel data regression analysis method with a Random Effect Model (REM). The results of the study show that Poverty has a significant positive effect on Stunting Prevalence, and Government Policy and Exclusive Breastfeeding have a significant negative effect on Stunting Prevalence, and Economic Growth Rate has no effect on Stunting Prevalence in Indonesia.

The Influence of Intellectual Capital, GCG, and ROA on Bank Performance

The purpose of this study is to analyze the influence of Intellectual Capital, Good Corporate Governance (GCG), and Capital Adequacy Ratio (CAR) on financial performance. This research adopts a quantitative approach with panel data regression analysis. The theoretical foundation is established through a review of relevant literature from journal articles and books. The study utilizes numerical data derived from secondary sources, specifically financial reports obtained through the official website of the Indonesia Stock Exchange (IDX). The study population comprises Islamic commercial banks listed on the IDX from 2017 to 2022. Using a purposive sampling technique, 54 samples from 9 Islamic commercial banks were selected. Data analysis was conducted using EViews 10 software, applying the Random Effect Model (REM). The findings reveal that Intellectual Capital, GCG, and CAR significantly impact the financial performance of Islamic commercial banks listed on the IDX between 2017 and 2022. This study provides valuable insights into the financial health of banks, categorized into safe, gray, or distressed zones, thereby offering practical implications for Islamic commercial banks.

Kinerja Keuangan Terhadap Return Saham

This research aims to see the effect of financial performance on stock returns. Stock returns in this study are the dependent variable while financial performance is represented by liquidity and leverage proxies.This type of research is quantitative. The research sample is companies that issue sukuk listed on the Indonesia Stock Exchange in 2017-2021, consisting of 7 companies with five years of observation and the sample determination method used is purposive sampling. The analytical method in this research uses panel data regression analysis with a fixed effects model using Eviews version 10.0. The research results show that the variables liquidity and leverage simultaneously influence stock returns. Meanwhile, partially the Liquidity variable has an effect on Stock Returns. The leverage variable influences stock returns.

Determinants of Indonesia's Plantation Commodities Trade Flows with ASEAN: Insights from a Gravity Model Approach

The trade relationship between Indonesia and ASEAN countries in plantation products exhibits fluctuations in export and import activities. This study aims to identify the factors influencing Indonesia’s Plantation Commodities Trade Flows with ASEAN countries. The research utilizes secondary data from eight ASEAN countries-Indonesia, Cambodia, Malaysia, Singapore, Thailand, Vietnam, Myanmar, and the Philippines-over a 15-year period (2008–2022). A panel data regression analysis, based on the Gravity Model, was conducted to achieve the research objectives. The variables examined include Indonesia’s Plantation Commodities Trade Flows, Indonesia's GDP, partner countries' GDP, exchange rates, economic distance, population, and inflation. The analysis revealed that fluctuations in Indonesia’s Plantation Commodities Trade Flows are driven by variations in export and import values. The regression results identified Indonesia's GDP, partner countries' GDP, economic distance, and exchange rates as significant factors affecting trade flows, while population and inflation had no significant impact.

Green banking disclosure and firm value: a research study at the commercial bank of Vietnam

ABSTRACT This study investigates the impact of green banking disclosure on the firm value of Vietnamese-listed commercial banks and examines the moderating role of non-performing loans (NPLs) from 2010 to 2023. Using panel data regression and content analysis, we employ the Circular 96/2020/TT-BTC disclosure index to measure green banking disclosure and Tobin’s Q to assess firm value. Our findings reveal that green banking disclosure generally reduces firm value. However, when accounting for NPLs, this negative relationship reverses, indicating a moderating effect. This research uniquely incorporates banks’ intrinsic value alongside Tobin’s Q to test the robustness of our results.

Determinan Proporsi Dana Tabarru’ pada Lembaga Keuangan Asuransi Jiwa Syariah

Financial management in Islamic insurance companies uses a split fund system. It is also supported by PMK Number 18/PMK.010/2020, which emphasizes that operators or sharia insurance companies must separate wealth by tabarru' fund obligations from the obligations and assets of company funds. The separation of funds has been carried out since participants pay contributions (premiums) at the beginning of the transaction. The purpose of this study is to analyze the factors that influence the proportion of tabarru' funds in Sharia Life Insurance companies. This research is a quantitative research, and the source of the data obtained is secondary data. The population is 21 Sharia Life Insurance companies registered with OJK. The sample of this study uses a purposive sampling technique by producing 16 sharia life insurance companies registered with the OJK, using annual financial statements according to the variables used during the period (2017-2019). Data analysis uses panel data regression analysis with fixed effects model which is processed using eviews 9. The findings from this research show that claims, sharia reinsurance, and operating expenses have a significant effect, while the growth of tabarru' funds and investment returns of tabarru' funds have no significant effect. With the coefficient of determination (R square) 0.775396 which means claims, sharia reinsurance, operating expenses, growth of tabarru' funds and investment returns of tabarru' funds can explain 77% of the proportion of tabarru' funds and the rest is influenced by other variables outside the study.. Keywords: Proportion of Tabarru' Funds, Sharia Life Insurance, Separation of Funds