Panel Data Analysis Method Research Articles

Relationship Corruption and Economic Growth ASEAN Countries

Corruption is a detrimental act for many people, especially related to the economy. Various groups widely discuss corruption and economic growth from academia, government, and the private sector. This is even more complex when coupled with competitiveness between countries and democratic systems. So this study aims to analyze the influence of global competitiveness, corruption and democracy on economic growth in ASEAN countries. This study used panel data analysis methods in 7 ASEAN countries from 2014-2019. The seven countries are Indonesia, Malaysia, Thailand, the Philippines, Vietnam, Laos, and Cambodia. It is related to economic growth, corruption, and competitiveness in ASEAN countries. The results of this study show that corruption brings mudhorot but has yet to be significant to economic growth. Another interesting finding is that democracy negatively affects global competitiveness and increases economic growth. This research can be one of the government's policy recommendations by increasing economic growth through strict enforcement against corruption and increasing global competitiveness. To realize economic growth that prospers society requires the role of the government through increasing human and institutional resources to support other competitiveness factors that focus on technological, environmental, and innovation aspects

The Relationship between Global Competitiveness, Corruption, Democratic Systems on Economic Growth ASEAN countries

Corruption is a detrimental act for many people, especially related to the economy. Various groups widely discuss corruption and economic growth from academia, government, and the private sector. This is even more complex when coupled with competitiveness between countries and democratic systems. So this study aims to analyze the influence of global competitiveness, corruption and democracy on economic growth in ASEAN countries. This study used panel data analysis methods in 7 ASEAN countries from 2014-2019. The seven countries are Indonesia, Malaysia, Thailand, the Philippines, Vietnam, Laos, and Cambodia. It is related to economic growth, corruption, and competitiveness in ASEAN countries. The results of this study show that corruption brings mudhorot but has yet to be significant to economic growth. Another interesting finding is that democracy negatively affects global competitiveness and increases economic growth. This research can be one of the government’s policy recommendations by increasing economic growth through strict enforcement against corruption and increasing global competitiveness. To realize economic growth that prospers society requires the role of the government through increasing human and institutional resources to support other competitiveness factors that focus on technological, environmental, and innovation aspects.

Pengaruh Adopsi Financial Technology Terhadap Profitabilitas Bank Umum Konvensional yang Terdaftar di Otoritas Jasa Keuangan Periode 2017-2022

This research aims to analyse the effect of financial technology (fintech) adoption on the profitability of conventional commercial banks registered with the Financial Services Authority for the period 2017-2022. This research is an associative research with a quantitative approach. The data collection method is a survey sample. The population in the study amounted to 93 banks. By using purposive sampling technique, 5 bank samples were obtained (30 observation data). Fintech services in this study are measured using Automated Teller Machine (ATM), internet banking and mobile banking. While profitability is measured using Return On Asset (ROA). The panel data analysis method in this research is multiple linear regression analysis using Eviews version 12. The results of this research indicate that Automated Teller Machine (ATM) has a positive and insignificant effect on ROA, internet banking has a negative and insignificant effect on ROA and mobile banking has a positive and significant effect on ROA.

The Influence of Non-performing Financing and Financing To Deposit Ratio on Profitability in Sharia Commercial Banks in Indonesia

Islamic banks must also play an active role in building dynamics in society, one of which is financial profitability (ROA) and Non-performing Financing (NPF). Return on Assets (ROA) is a company's financial ratio that is related to profitability, measuring the company's ability to generate profits. Furthermore, if the NPF value of sharia banking decreases, it will increase the performance of sharia banks. This research aims to determine the effect of Non Performing Financing (NPF) and Financing To Deposit Ratio (FDR) on profitability at Sharia Commercial Banks in Indonesia. Panel data regression analysis is regression analysis based on panel data to observe the relationship between the dependent variable and the independent variable. The analytical method used in this research is the panel data analysis method using the classical assumption test (Ordinary Least Square) with the aim of carrying out the classical assumption test so that the estimator parameter values ​​are valid and unbiased. The research results found that NPF partially had no effect on the profitability of Sharia Commercial Banks in Indonesia, while FDR partially had an effect on the profitability of Sharia Commercial Banks in Indonesia.

Investigation of the effect of women’s employment indicators on women’s health indicators by panel data analysis method

With the increase in the education level of women, their level of representation in the professional professions and their presence in business life has increased. It has been inevitable that this situation would affect the socio-economic structure of societies and the health indicators of employed women. The aim of this study is to examine the effect of women’s employment indicators on women’s health indicators using the panel data analysis method. Two different econometric models were developed in the study. Model-1 predicts that a possible 1% increase in the female unemployment rate would result in a 0.06% decrease in the fertility rate. Model-2 estimates that a possible 1% increase in the female unemployment rate would lead to a 0.04% decrease in female-specific average life expectancy. Also, it is predicted that a possible increase of 1% in the total labor force participation rate of women can provide an increase of 0.04% in the average life expectancy of women. The results of the study indicate that the presence of women in the workforce directly impacts women’s health indicators, particularly socio-economic indicators. Thus, there is a need to develop employment policies based on women’s health in the employability of women.

NEET youth in central and eastern European countries: a panel model approach

ABSTRACT The purpose of the present study was to examine macro-determinants of the Not Engaged in Employment, Education, or Training Young People (NEET) in Central and Eastern European Countries. Data from 16 countries were collected from Eurostat –, UNESCO – and Word Bank Database 2013–2021 by using the panel data analysis method. Early school leaving rate, vocational education and training enrollment rate, unemployment rate, labour market regulation, gross domestic product, education expenditure and human development index were used for explaining the NEET in selected area. The relationship between variables was analyzed using the Panel Data Methods via Fixed-Effects Model. Therefore, according to the findings of Driscoll and Kraay Estimator – One-Way Fixed Effects Model, gross domestic product, labour market regulation, early school leaving rate, vocational education, and training enrollment rate variables have a high and statistically significant effect on NEET as the dependent variable, while unemployment rate and human development index have a marginal but significant effect on NEET. The findings of the present study showed associations between socio-economic and institutional conditions (labour market regulation) and the NEET rate at the country level and may indicate appropriate policy measures to promote a decrease in the NEET rate.

Board monitoring and corporate disclosure: the role of the institutional environment and firm-level governance

PurposeThis article aims to answer two research questions that remain controversial in the accounting and corporate governance literature: (1) how corporate disclosure is related to board monitoring and (2) how this link is affected by the institutional environment and firm-level governance.Design/methodology/approachThe study is based on S&P data on corporate disclosure by Russian companies collected over 2002–2010 and supplemented by information from the SKRIN database. The dataset covers 125 non-financial companies, with 559 observations in total. We use three indicators of board monitoring: the percentage of non-executive directors, a dummy for two-tier boards, and a dummy for an audit committee. The firm’s governance is proxied by a dummy for single class stock, while the institutional environment is proxied by a dummy for ADRs/GDRs. We apply conventional methods of panel data analysis with several robustness checks, including the random- and fixed-effects models, 2SLS that addresses the potential endogeneity of board composition, alternative definitions of the dependent variable, and an extended list of controls.FindingsWe find a positive (complementary) relationship between the amount of disclosure and the proxies for board monitoring employed. This complementary relationship turns out to be the strongest among companies that have better internal governance but face a weaker institutional environment. There is little evidence of such complementarity under strong institutions.Practical implicationsThe findings may be of interest to investors and policymakers. As to the former, the results warn of firms that provide limited disclosure in the presence of strong corporate governance arrangements, such as independent boards, as these factors are not substitutes for each other. As to the latter, the results support comprehensive policies aimed at simultaneous improvements in both board governance and corporate disclosure in weak institutional settings.Originality/valueThis paper uses a unique setting and rich, partly proprietary data to extend the existing literature on the relationship between corporate disclosure and board monitoring, with an emphasis on the moderating role of the institutional environment and firm-level governance. It is also one of the very few studies of corporate disclosure in Russia, an important emerging economy of the early 2000s.

The Effect of ESG Data of Companies on Financial Performance: A Panel Data Analysis on The BIST Sustainability Index

The relationship between companies' environmental, social, and governance (ESG) data and their financial performance is of significant interest. The primary aim of this study was to investigate whether the ESG scores of companies in the BIST Sustainability Index impact their financial performance. By analysing the relationship between ESG scores and financial performance indicators of 26 companies, whose ESG scores were calculated by S&P Global for the period 2018-2022, using the panel data analysis method, we found compelling results. ESG factors were found to have a significant and positive effect on return on assets (ROA), return on equity (ROE), net profit margin (NPM), and asset growth (AGR) but a negative effect on the market-to-book ratio (MBR).

Profitability in Public Housing Companies: A Longitudinal and Regional Analysis Using Swedish Panel Data

Public Housing Companies (PHCs) play an important role in the Swedish housing market, with approximately 300 companies managing circa 802,000 dwellings. The public housing sector thereby represents almost 20 percent of the total housing stock in Sweden and half of the apartments that are available for rental. The purpose of this paper is to analyze the most important factors behind the profitability in Swedish PHCs between 2010 and 2019. The effects of internal growth, age, and capital structure in the PHCs are analyzed together with the effect of the growth of the local market, as well as local rent levels. Financial information for circa 300 PHCs in Sweden was gathered from annual reports published between 2010 to 2019. The financial information was analyzed using panel data analysis methods with several explanatory variables to explain the financial performance of the PHCs. The results from the analysis indicate a highly significant and positive relationship between the annual change in population, age, and profitability in the PHC. A highly significant and negative relationship was found between the PHC internal growth, capital structure, and profitability. The results showed no significant relationship between changes in income, rent levels, and profitability in Swedish PHC.

Does Tourism Opportunity or Threat to Green Economıc Growth Evidence From The Top 10 Countries

The aim of the study is to examine the impact of tourism on green economic growth in the top 10 countries in international tourism (USA, Austria, Canada, France, Germany, Spain, UK, Italy, Greece, Mexico) using panel data analysis method for the period 2010-2022. In the study, control variables (energy and financial development variables) were used in addition to the tourism variable. This context, four models have been created. According to the findings, an increase in international tourism numbers reduces green growth. The variables of renewable energy and financial institutions are statistically insignificant; but the variables of fossil energy and financial markets have significant effects on green economic growth, with fossil energy having a negative impact and financial markets having a positive impact. It is expected that this study will contribute to the literature by being one of the first studies to examine the impact of work tourism on green economic growth.

DETERMINANTS OF CAPITAL STRUCTURE IN ENERGY SECTOR: EVIDENCE FROM BORSA İSTANBUL

This study aims to examine the determinants of capital structure in the energy sector of Turkey and their relation to relevant theories. The panel data analysis method was used to analyze annual data from 8 energy companies operating in Borsa Istanbul between 2014 and 2021. Results of the analysis showed that while the median debt ratio on a sector basis affects leverage positively; asset structure, growth opportunities, profitability, liquidity, industrial production and distribution index, and GDP annual growth variables negatively affect leverage. No significant relationship was found between the size of the business, non-debt tax shield, inflation, tax revenue, and leverage. It has been noted that the findings are in line with the previous studies, and the capital structure of the Turkish energy sector is generally compatible with the pecking-order theory.

The Impact of Foreign Direct Investment, Green Technology Innovation and GDP on CO2 Emissions in Western China: A Static Panel Data Analysis

This study investigates the impact of FDI, green technology innovation and GDP on CO2 emissions in the western region of China. This study applies the extended STIRPAT model, selects the relevant data of nine provinces in western China from 2000 to 2019, applies the static panel data analysis method, compares and analyses the estimation methods of Pooled OLS, fixed effect and random effect, and finally adopts the robust standard error estimation method of fixed effect. The results of the robust standard error estimation indicate that, in addition to the negative impact of green technology innovation on CO2 emissions, CO2 emissions are positively impacted by FDI, GDP, population, and the proportion of the secondary and tertiary industries. Therefore, reasonable introduction of FDI and improving green technology innovation levels are crucial in reducing CO2 emissions in the western region of China.

Innovation ecosystem for smart product: empirical quantification of its key dimensions in SMEs of 21 European countries

This paper aims to quantify the innovation ecosystem model for allowing the development of smart products at the country level. In this regard, the research used an empirical approach to scale and validate the six dimensions of an innovation ecosystem model among the small and medium-sized enterprises of 21 European countries. The quantitative methods of panel data analysis and Pearson correlation tests between variables of the innovation ecosystem and smart products were considered to examine six research hypotheses. Three dimensions of the innovation ecosystem model, i.e., configuration, change, and capability, have enough effects to accelerate high levels of smart products in the small and medium-sized enterprises of European countries, supporting the external and internal economic partnerships of institutions and companies, cultural changes in functional status, and knowledge-based capabilities of technological skills in each ecosystem. In addition, hierarchical clustering analysis for the classification of the countries showed that some countries, e.g., the United Kingdom, Netherlands, Sweden, Switzerland, Germany, Denmark, France, and Norway, could support their powerful smart products for small and medium-sized enterprises at the national level due to their high mean innovation ecosystem values. Overall, the research can describe the managerial implications regarding the knowledge-based capabilities of the technological skills in each ecosystem to be utilized by managers and stakeholders in small and medium-sized enterprises.

ANALISIS PENGARUH PERTUMBUHAN EKONOMI DAN INDEKS PEMBANGUNAN MANUSIA (IPM) TERHADAP TINGKAT PENGANGGURAN

Java Island provides the largest contribution to national income, so that Java Island has become the economic center in Indonesia. However, unfortunately, areas with high levels of income or economic growth actually contribute to high levels of unemployment. The aim of the research is to determine the effect of economic growth, the Human Development Index (HDI), District/City Minimum Wage (UMK), and population on the unemployment rate on the island of Java in 2017-2021. The research method used is the panel data analysis method with the Fixed Effect Model approach. The results of panel data analysis show that the economic growth variable has a significant and negative effect on the unemployment rate, the HDI has no significant and negative effect on the unemployment rate, the Regency/City Minimum Wage (UMK) variable has a positive and significant effect on the unemployment rate, and population has a significant and significant effect on the unemployment rate. negative on the unemployment rate and together the economic growth variables, Human Development Index (HDI), Regency/City Minimum Wage (UMK) and population have a significant effect on unemployment on the island of Java.

Dampak Pembangunan Tol Trans Jawa terhadap Pertumbuhan Ekonomi Kabupaten Mojokerto, Jombang, Kediri, dan Nganjuk

This study aims to analyze the influence of toll roads on economic growth and the potential sectoral transformations in the research region. The research employs a panel data analysis method with a quantitative approach. The study was conducted in four regencies in East Java, namely Nganjuk Regency, Kediri Regency, Jombang Regency, and Mojokerto Regency. The research results indicate that the partial effect of toll road development does not have a significant impact on economic growth. However, when considered simultaneously with the Human Development Index variable, it shows a significant influence on economic growth.

The Relationship of Economic Growth and Implied Tax Subsidy Rates on R&D Expenditures: A Dynamic Panel Data Analysis For OECD Countries

The current study examines the effect of implied tax subsidy rates on research and development (R&D) expenditures for large-scale firms on economic growth within the scope of 26 OECD countries. A panel data analysis is employed by using annual data for the period 2004-2020. Difference GMM, one of the dynamic panel data analysis methods, is used in the analysis. Annual growth rate is used as explained variable. Implied tax subsidy rates on R&D, gross fixed capital formation as a share of GDP, secondary school enrollment rate, and the ratio of labor force participation rate are also used as explanatory variables in the estimated model. Results show that there is a statistically significant effect of the implied tax subsidy rates on R&D on economic growth. The tax subsidy rate on R&D expenditures has a positive impact on economic growth. This study underscores the importance of the tax subsidies on R&D expenditures for economic growth.

The Effect of Energy Production and Foreign Trade on the Economic Growth of Turkic Republics: A Study Using Panel Data Analysis Method

This study analyzes the impact of energy production and foreign trade on the economic growth of the Turkic Republics using the Panel Data method for the period 2000-2020. Previous scientific studies have shown that many different variables impact economic growth. This study, unlike others, focuses on the effect of energy production and foreign trade volume on economic growth. The findings showed that energy production affects the economic growth of Turkic Republics. Another important finding is that the effect of foreign trade volume on economic growth is not significant when exports and imports are considered together. This is noteworthy as it shows that energy production invariably has a significant impact on the economic growth of a country. In other words, it would be a beneficial approach for a country to give importance to energy production to increase economic growth.

PENGARUH STRUKTUR MODAL DAN PROFITABILITAS TERHADAP RETURN SAHAM STUDI PADA PERUSAHAAN SEKTOR MAKANAN DAN MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA 2019-2022

The purpose of this study was to examine the effect of Capital Structure and Profitability on Stock Returns in food and beverage companies listed on the Indonesia Stock Exchange in 2019 2022.This type of associative research with a quantitative approach. Samples were taken using purposive sampling technique. In this study, the sample consisted of 27 companies from 30 food and beverage companies listed on the Indonesia Stock Exchange in 2019-2022, so the research data analyzed amounted to 108 observations. The panel data analysis method in this research is multiple linear regression analysis using Eviews version 12. The results of this research show that the Debt to Equity Ratio has a positive but significant effect on stock returns. Meanwhile, Return On Asset shows that it has a positive and insignificant effect on stock returns. For further research, it is hoped that researchers can expand the scope of research objects to the company sectors on the Indonesian Stock Exchange so that they can add more diverse research variables.

PENGARUH PRODUK DOMESTIK REGIONAL BRUTO (PDRB), INVESTASI, JUMLAH PENDUDUK, DAN INFLASI TERHADAP PENDAPATAN ASLI DAERAH PROVINSI NTB TAHUN 2010-2022

The purpose of this study was to examine the effect of Capital Structure and Profitability on Stock Returns in food and beverage companies listed on the Indonesia Stock Exchange in 2019 2022.This type of associative research with a quantitative approach. Samples were taken using purposive sampling technique. In this study, the sample consisted of 27 companies from 30 food and beverage companies listed on the Indonesia Stock Exchange in 2019-2022, so the research data analyzed amounted to 108 observations. The panel data analysis method in this research is multiple linear regression analysis using Eviews version 12. The results of this research show that the Debt to Equity Ratio has a positive but significant effect on stock returns. Meanwhile, Return On Asset shows that it has a positive and insignificant effect on stock returns. For further research, it is hoped that researchers can expand the scope of research objects to the company sectors on the Indonesian Stock Exchange so that they can add more diverse research variables.

An Empirical Analysis of the Determinants of Child Poverty in European Countries

The main objective of the study is to analyze the significance of the determinants of child poverty before and after social transfers and to assess how child poverty differs from adult poverty. In the empirical part of the study, the panel data analysis method is used for a total of 12 years and 31 European countries between 2006-2017. The main findings of the study show that GINI coefficient, per capita income, female employment, household size and property status of the dwelling are significant determinants of child poverty. The empirical finding reveals that in the selected countries, the impact of social transfers in reducing child poverty is more limited than the impact of social transfers in reducing adult poverty and that social protection programs should be designed and implemented more intensively to reduce child poverty. The study suggests that to combat child poverty in EU countries, it is necessary to review social programs that focus on child inequality programs in a multi-sectoral framework with a view to designing more effective public policies