Hausman Test Research Articles

The Effect of Innovation and Renewable Energy on CO2 Emissions For Emerging Asian Countries

This study investigates the impact of innovation and renewable energy consumption on CO2 emissions in seven emerging Asian countries using static panel data methods. The analysis employs Pooled Ordinary Least Squares (OLS), Fixed Effect (FE), and Random Effect (RE) models to estimate the relationships, with the most appropriate model selected based on the Breusch-Pagan LM test and the Hausman test. Our findings reveal that both GDP and urbanization significantly increase CO2 emissions, while GDP squared and renewable energy consumption significantly decrease emissions, supporting the Environmental Kuznets Curve (EKC) hypothesis. Diagnostic tests indicate the presence of heteroskedasticity and first-order autocorrelation, addressed using robust standard errors. The results underscore the dual role of economic growth and technological advancement in shaping environmental outcomes, highlighting the critical importance of sustainable development policies in emerging economies.

The Determinants of Bank’s Liquidity: Comparative Analysis From Global Islamic Banks and Conventional Banks

This study investigates the determinants of bank liquidity in both Islamic and Conventional banks across 15 countries, focusing on key variables such as profitability, capital adequacy, bank size, and credit risk. Utilizing data from 107 Islamic banks and 506 Conventional banks spanning from 2013 to 2022, the analysis reveals significant differences in liquidity management between the two banking systems. The Random Effect Model (REM) was employed based on the Hausman test results to ensure robustness. The findings indicate that profitability negatively impacts liquidity in Islamic banks, likely due to investments in less liquid, Sharia-compliant assets, while it positively influences liquidity in Conventional banks, where profits are often reinvested into liquid assets. Capital adequacy emerges as a crucial determinant of liquidity in both bank types, highlighting the importance of maintaining strong capital buffers. The study also finds that credit risk significantly reduces liquidity in Conventional banks, whereas it has a lesser impact on Islamic banks. These insights contribute to a deeper understanding of liquidity management practices in Islamic and Conventional banks, offering valuable implications for bank managers, policymakers, and regulators.

Static and Dynamic Modeling of Non-Performing Loan Determinants in the Eurozone

The issue of non-performing loans (NPLs) in a bank’s portfolio is important for a bank’s stability and sustainability. Their increased presence indicates a potential worsening of the economy and a lower quality of the bank’s assets. We estimated determinants of non-performing loans in the Eurozone for quarterly data 2015–2020. The results confirmed spatial spillover effects within Eurozone countries, which means that when a shock happens in one country in the Eurozone, it will also affect the other economies of the Eurozone area. Based on the Hausman test, a fixed-effects model was chosen as appropriate and showed that bank-specific and macroeconomic determinants significantly affect NPLs in these economies. In relation to previous studies that dealt with this issue, a co-integration analysis was introduced. A significant impact of return on assets, return on equity, and the loan-to-deposit ratio, as well as the gross domestic product, inflation, and exchange rate on NPLs in the short run and long run, was confirmed using a Pooled Mean Group (PMG) estimator. Bank management should customize credit policy based on both internal and external conditions to improve their performance, focusing on enhancing profitability and maintaining a lower loan-to-deposit ratio to reduce NPLs. The research suggests that a higher gross domestic product (GDP) growth rate is associated with fewer NPLs, while inflation uncertainty and a volatile exchange rate can increase NPLs, highlighting the importance of adjusting strategies to the macroeconomic landscape.

Climate policy uncertainty and economic growth, a moderating role of crude oil price changes: evidence from the Asian economies

Purpose This study aims to inspect the impact of US climate policy uncertainty (CPU) on the economic growth of Asian countries with the moderating role of crude oil price (COP) changes. Design/methodology/approach The Im-Pesaran Sin and Fisher-type tests are used for stationarity check, while Kao and Pedroni tests are used for cointegration analysis. The Hausman test is applied for model selection, where pooled mean group autoregressive distributed lag (PMG/ARDL) has been selected and applied. Besides, the fully modified ordinary least squares is also used for robustness analysis. Additionally, the literature review and descriptive statistics have been used. Findings The main findings disclosed that US CPU negatively impacted the economic growth of Asian economies with high significance in the long run whereas insignificant in the short run. The results further concluded that COP positively affected economic growth both in the short and long run. Furthermore, the results also revealed that COP significantly and positively moderates the relationship between CPU and COP in the long and short run. Originality/value The study is the first of its kind to examine the impact of the US CPU on the economic growth of Asian economies. Second, it further revealed the moderating role of COP between US CPU and economic growth. Third, a large panel of data from Asian countries has been considered. Fourth, the study adds to the current literature by using the PMG/ARDL model to determine the impact of US CPU on economic growth. Additionally, this study focuses on the US CPU because it is a developed country playing a significant role in energy and climate issues, and has been very uncertain.

Frailty Indicator over the Adult Life Cycle as a Predictor of Healthcare Expenditure and Mortality in the Short to Midterm.

Assessing frailty from middle age onward offers valuable insights into predicting healthcare expenditures throughout the life cycle. This paper examines the use of physical frailty as an indicator of healthcare demand across all age groups. The originality of this work lies in extending the analysis of frailty indicators beyond the typical focus on individuals under 50 years old to include those in mid-life and older. For this study, we used a database where frailty was measured in 2012 in a sample of individuals aged 15 to over 90. These individuals were tracked for their healthcare expenditures from 2012 to 2016. Among the sample of 6928 individuals, frailty in 2012 resulted in a statistically significant increase in costs at the 5% level for the population aged 15 to 65. We applied multilevel linear regression models with year fixed effects, controlling for demographic factors, education level, precarity, social dimensions, lifestyle factors (e.g., vegetable consumption), physical activity, emotional well-being, and medical history. A Hausman test was conducted to validate the model choice. For mortality rate analysis, Cox models were used. Our findings demonstrate that physical frailty provides valuable information for understanding its impact on healthcare expenditure. The effect of frailty on mortality is particularly significant for the elderly population. Moreover, frailty is a predictor of healthcare costs not only in older adults but also across the entire life cycle.

The Impact of Demographic Change on Economic Growth in ASEAN

To study the impact of Demographic Change on Economic Growth in ASEAN. This study uses panel data from 1993 to 2022 from ASEAN countries by collecting data from the World Development Indicator, World Bank 2023, consisting of GDP per capita, working age population, Youth dependency population, and Elderly dependency population. We utilize the statistical completion program as a tool to help with the Panel Autoregressive Distributed Lag Approach (ARDL) method analysis. The results of the study found that variables are stationary at I(0) and I(1) level. Moreover, the estimated coefficients of the variables with the Pooled Mean Group reveals that Working age population had a positive impact in long-run on the GDP per capita in ASEAN countries, Youth dependency population had a negative impact in long-run on the GDP per capita in ASEAN countries, and also had a speed of adjustment to long-run equilibrium and for Elderly dependency population were not statistically significant. The result of Mean Group and Dynamic Fixed Effect further shows that there were not statistically significant. By means of the Hausman test, the results can be concluded that Pooled Mean Group estimation is most suitable.

Firm characteristics and corporate governance of state-owned enterprises: An analysis of an emerging market

This paper explores the relationship between firm-level factors and the quality of corporate governance of state-owned enterprises (SOEs) in an emerging economy, namely Vietnam. We employ a self-built corporate governance index (CGI) for SOEs and conduct an empirical analysis of data from 113 listed SOEs on the stock market of Vietnam from 2016-2020 using a fixed effect model (FEM) as suggested by the Hausman test. We find that firm-level characteristics such as firm age and tangibility of assets as well as macroeconomic factors such as the quality of the business climate and economic growth exhibit a statistically significant correlation with the corporate governance quality of SOEs. On the other hand, there is no established statistically significant relationship between other firm characteristics such as firm size, state ownership, financial leverage, growth opportunities and corporate governance. These results for an emerging economy like Vietnam are novel and provide implications for policymakers, regulators, shareholders and other stakeholders on the possibility of enhancing the quality of corporate governance of SOEs in an emerging market, a critical issue given the increasing role of SOEs in economies. Our research can be improved for future research in a couple of aspects. First, addressing the case of companies that do not disclose their governance practices in annual reports would help enhance the information for the corporate governance index. Second, extending the data to compare listed SOEs with other listed firms would provide a more comprehensive analysis.

Analysis of Socio-economic Variables Impacting Poverty Alleviation in Regional Development: A Case Study in Deli Serdang Regency, Indonesia

This study analyzes the impact of macro socio-economic variables on poverty alleviation within the context of regional development in North Sumatra Province from 2019 to 2023. The socio-economic variables examined include economic growth, average years of schooling, life expectancy, and the open unemployment rate. The research employs a panel data regression approach using the Fixed Effect Model, selected based on Chow and Hausman test results, to determine the best model fit. The findings reveal that economic growth, average years of schooling, and life expectancy have significant negative effects on poverty reduction, indicating that improvements in these areas help alleviate poverty. Conversely, the open unemployment rate shows a significant positive effect on poverty levels, suggesting that higher unemployment exacerbates poverty. The model explains 99% of the variation in poverty (R² = 0.990), indicating a high explanatory power. Based on these results, the study recommends the implementation of inclusive economic policies focusing on boosting economic growth, improving educational access, enhancing healthcare systems, and creating job opportunities to effectively reduce poverty. Additionally, further research with broader geographical coverage and more refined methods is necessary to enrich the understanding of poverty determinants in different regional contexts.

DETERMINAN KINERJA KEUANGAN PERUSAHAAN SEKTOR PROPERTI & REAL ESTATE PADA INDEKS SAHAM SYARIAH INDONESIA

This research aims to identify and analyze factors that influence the financial performance of companies operating in the property and real estate sectors listed in the Indonesian Sharia Stock Index. Specifically, this research evaluates the influence of internal company factors, such as leverage, profitability, and operational efficiency. Apart from that, this research also analyzes the impact of compliance with sharia principles. This research uses quantitative research, the data source used in this research is secondary data in the form of annual and quarterly financial reports. The analysis technique used is panel data regression, with the Chow test and Hausman test showing that the best model results are the fixed effect model. The results of the research show that return on assets (ROA) with a probability value of 0.0308 partially has a significant effect on share prices, earnings per share (EPS) with a probability value of 0.0081 partially has a significant effect on share prices, but the debt to equity ratio (DER) with a value of probability 0.5249 partially has no significant effect on stock prices. Simultaneously, with a probability F value of 0.000000, return on assets (ROA), earnings per share (EPS), debt to equity ratio (DER) together have a significant effect on share prices in property and real estate companies.

Impact of international accounting standards on Hungary’s financial transparency

Acceptance and implementation of international financial reporting standards ensure a wider scope for financial transparency, accountability, and comparability on a global scale. Against this backdrop, this study looks at the implications of these standards on Hungary’s financial transparency by evaluating panel data from 716 private companies over the period 2013–2023. The Hausman test results suggest that Fixed and Random Effects models should be used.The analysis indicates that, on average, the sampled companies have improved financial transparency by 75%. Key determinants include standard adoption (0.025 coefficient, t = 8.333, p < 0.001), cost of implementation (2.400 coefficient, t = 24.000, p < 0.001), investor confidence (0.035 coefficient, t = 11.667, p < 0.001), and legislative changes (2.450 coefficient, t = 24.500, p < 0.001). Moreover, it is possible to obtain significant positive effects on the centered variables for implementation costs (coefficient = 2.498, p < 0.001) and government efficiency (coefficient = 0.036, p < 0.001).These results demonstrate a positive effect, which is significantly created by adopting these standards on financial transparency. They underline increased investor confidence and government efficiency as drivers of these improvements. Applying these standards in Hungary’s financial reporting system is classified as a strategic tool to foster economic stability and attract foreign investment, which ensures Hungary’s good standing in the global economy.

The Mediating Effect Of Market Liquidity On The Relationship Between Financial Liberalization And Stock Market Returns Among East Africa Community Member Countries

The motivation for this study stems from the critical role of financial markets in economic development and the need to understand the factors influencing stock market performance in the East African Community (EAC) member countries. Financial liberalization, market liquidity, and macroeconomic stability are pivotal in shaping stock market returns. However, empirical studies examining these relationships within the EAC context are limited, prompting this comprehensive analysis. The general objective of this study was to investigate the effect of financial liberalization, market liquidity, and macroeconomic factors on stock market returns among EAC member countries. The study was anchored on the theory of financial liberalization, neoclassical theory, efficient market hypothesis, behavioral finance theory, and the general theory of employment, interest, and money. Data were collected from secondary sources, including financial reports, stock exchange databases, and relevant economic databases, covering the period from 2002 to 2021.The study employed fixed-effects regression models, chosen based on the Hausman specification test, to control for unobserved heterogeneity across countries. Baron and Kenny’s approach was used to test for mediation and moderation effects. The analysis involved examining the direct and, mediating relationships between the key variables. The findings revealed that financial liberalization significantly and positively affects stock market returns. Conversely, market liquidity was found to mediate this relationship, enhancing the positive effects of financial liberalization. The study concludes that financial liberalization is a crucial determinant of stock market performance in the EAC region. Market liquidity plays a significant role in amplifying the benefits of financial liberalization. For policymakers, the study recommends policymakers in EAC should focus on developing infrastructure that supports efficient trading systems. This recommendation is based on the finding that higher market liquidity significantly boosts the positive effects of foreign assets and liabilities on stock market returns

Value Relevance and Share Price Dynamics: An Empirical Analysis of Indian Multinational Corporations

The share price is one of the major aspects of taking financial decisions by the investors. This study has investigated the impact of value relevance on the share price of Indian multinational companies. In this study, the top 10 multinational corporations (MNCs) have been taken for the analysis of data from the financial year 2018–2019 to 2022–2023. However, share price has been considered a dependent variable, whereas earnings per share (EPS), book value per share (BVPS), price to book value (PB), price to earnings (PE) and assets turnover ratio (ATR) have been considered independent variables. By employing correlation, ordinary least squares (OLS), fixed effect model (FEM), random effect model (REM), Hausman test and the Jarque–Bera test, data have been analysed and significant associations among the given variables have been found. The outcome of the study has revealed that there is a significant impact of value relevance on the share price of the MNCs in India, as the p value derived from the analysis is less than .05. This means that a statistically significant relationship exists between the variables considered in the study. JEL Codes: G10, M41, Y10

TAX PERFORMANCE AND QUALITY OF GOVERNANCE IN NIGERIA

Government cannot run in isolation, they need revenue to run their operations and one of the sources of this revenue is taxation. Despite government lamentations of a lack of funds for infrastructure development, there is a scarcity of literature in Nigeria on how tax performances may influence the quality of governance. This study examined the impact of tax performance on the quality of governance in Nigeria. Data for the study were taken from the OECD, the World Bank, and the Central Bank of Nigeria's annual reports, and the research design used is ex-post facto. The Hausman test was employed to analyze the data collected after subjecting it to the unit root test. Tax performance is proxy by company income tax, personal income tax, and value-added tax while the corruption perception index was used as a proxy for quality of governance. This study's findings revealed that the quality of governance and personal income tax are positively and significantly related, with a p-value of 0.0000, a t-statistic of 6.320390, and coefficients of 0.200227. This study's findings revealed that quality of governance and company income tax are negatively and significantly related, with a p-value of 0.0000, t-statistic of -9.743164, and coefficients of -0.228796. However, this study's findings revealed that the quality of governance and value-added tax are not related, with a p-value of 0.3252, a t-statistic of -0.984622, and a coefficient of -0.033803. This study concluded that tax performance had a significant impact on governance quality in Nigeria. This study recommends that taxation if appropriately controlled will improve the quality of governance, create jobs in the country, lower inflation, and boost economic growth.

Board Independence And Financial Distress: Insights From India

Resource Dependency Theory (RDT) posits that organizations depend on external resources to navigate uncertainty and sustain growth, with independent directors in corporate governance acting as key intermediaries, providing expertise, external networks, and strategic oversight. This study employs Panel [Random Effect (RE)] regression to analyze the impact of independent directors on the financial distress likelihood of 20 manufacturing companies listed on the NSE over the period 2019–2024. The findings reveal that firms with a higher number of independent directors exhibit a significantly higher risk of financial distress, reinforcing the notion that these directors aggravate financial vulnerabilities and enhance organizational instability. Background: Corporate frauds like the Satyam and Nirav Modi-PNB scandals highlight the severe consequences of deceptive practices, undermining financial markets and stakeholder trust. These incidents exposed vulnerabilities in governance and risk management, prompting regulatory reforms in India. Weak corporate governance facilitates fraud by allowing insufficient oversight and accountability. Recent reforms under the Companies Act, 2013, and SEBI's regulations aim to enhance transparency and reduce fraud risks. Strong corporate governance would be critical for financial stability, investor confidence, and achieving the "2047 Viksit Bharat" vision. Research explores how independent directors influence the likelihood of financial distress. Materials and Methods: This study investigates financial distress in manufacturing firms listed on the National Stock Exchange (NSE) through a panel data methodology. A random sample of 20 firms was selected to ensure representativeness, covering the period from 2019 to 2024, with banks and financial institutions excluded due to their distinct financial characteristics. Financial distress was assessed using the Altman Z-score, a widely recognized metric for evaluating financial distress. The independent variable in the study is Board Independence, i.e., the total number of independent directors on the Board. The control variables include Profitability, Leverage, and Activity. Panel data estimation techniques were used to address issues of endogeneity and heteroscedasticity. The Hausman test was conducted to determine whether to retain fixed or random effects for the analysis. Results: The Hausman test showed a p-value of 0.0.78 (greater than 0.05) which revealed that that random effect model is appropriate for the analysis. The analysis reveals a negative relationship between board independence and financial distress, indicating that an increase in the number of independent directors is associated with a higher likelihood of financial distress at 5% level of significance. Leverage significantly increases the likelihood of financial distress, while increased operational activity decreases it; Net Profit Margin is statistically insignificant. Conclusion: This finding challenges the conventional understanding of board independence, which is generally seen as a mechanism to enhance corporate governance by providing unbiased oversight, strategic guidance, and external resources

Effect of Ownership Structure on Performance of Quoted Financial Firms in Nigeria

This study investigates the relationship between ownership structure and firm performance of quoted Nigerian financial firms in Nigeria. This study employs an Ex post facto research design, utilizing data extracted from annual reports of the financial firms listed on the Nigerian Exchange Group (NGX) between the years 2014 to 2023. The population of interest consists of 48 listed financial firms. Secondary data from the firms' annual reports were collected and analyzed using fixed effect panel regression analysis as specified by Hausman test. The findings reveal significant positive effects of managerial ownership, institutional ownership, and ownership concentration on firm performance. These results align with established theories such as agency theory and stewardship theory, as well as previous empirical studies in the field of corporate governance and ownership structure. The study concludes that increasing managerial ownership can align the interests of managers with shareholders, leading to improved firm performance. Attracting institutional investors who bring expertise, monitoring capabilities, and long-term investment perspectives can also contribute to enhanced firm performance. Furthermore, careful management of ownership concentration can enhance monitoring and decision-making efficiency, align shareholder interests, and reduce agency costs. However, the study finds no significant impact of foreign ownership on firm performance in the Nigerian context. This suggests the need for further research to better understand the specific dynamics and potential implications of foreign ownership in the Nigerian financial industry, considering factors such as regulatory restrictions, cultural differences, and information asymmetry.

How Does the Digital Economy Influence the Pursuit of Sustainable Development Goals?

Our study aims to examine the impact of the digital economy on sustainable development during international financial crises, the COVID-19 pandemic, and the current war between Russia and Ukraine. To do this, we collected an annual dataset from 1990 to 2022 for twenty-eight developed and twenty-five developing countries, to identify links between environmental, socio-economic, and proxy indicators of the digital economy. We estimate these links using the Within and GLS methods and use the Hausman (1978) test for individual effects to determine the nature of these links. Our results show that the digital economy has made a positive and significant contribution to sustainable development. For developing countries, mobile technologies have positive and significant effects on sustainable development, whereas, in developed countries, these effects are less elastic. The Internet has a positive and significant effect on the Human Development Index. While trade openness plays a driving role in environmental performance, it has a negative impact on equitable and sustainable development.

Evaluating the Impact of Chinese FDI in the Energy Sector on Green GDP Growth: A Spatial Econometric Analysis of MENA Countries

This study analyzes the impact of Chinese foreign direct investment (FDI) in the energy sector on the green GDP (GGDP) growth of seven Middle East and North Africa (MENA) countries based on data from 2009 to 2019. Using panel regression analysis, the study focuses on the effects of FDI, economic development level, population size, energy consumption structure, environmental regulation intensity, government fiscal expenditure, and the KOF Economic Globalization Index on GGDP growth. By comparing fixed-effects and random-effects models and applying the Hausman test to select the most appropriate model, the research indicates that the random-effects model is the most suitable. The results show that FDI, economic development level, and population size have significant positive effects on GGDP, while shifts in energy consumption structure also promote sustainable economic growth. In contrast, environmental regulation intensity and the globalization index have no significant impact on GGDP, suggesting that GGDP growth in MENA countries relies more on internal economic policies and the efficiency of resource allocation.

Impact of Capital Structure on Profitability of Commercial Banks in Tanzania

This paper aims to examine the impact of capital structure on the profitability of commercial banks in Tanzania using panel data from 2017to 2021. Specifically, the study wants to investigate the impact debt and equity in capital structure on profitability of commercial banks in Tanzania. The study employed panel data research design and used secondary data which were extracted from audited financial statements of commercial banks. Return on assets was used as the dependent variables while independent variables were debt and equity capital as well as the debt-equity ratio. Result from the analysis indicates that initially the variables were not normally distributed which necessitate normalization of variables. Correlation analysis was performed and there was no multicollinearity problem between the variables. Based on Hausman test fixed effect model was selected as the appropriate model. The results from the analysis showed that 1% increase in debt capital increases profitability of commercial bank by 16.79%. The positive debt-profitability coefficient implies opportunities for enhancing profitability of commercial bank through debt financing. Result further revealed that 1 % increase in debt-equity ratio is associated with 18.07% decline in profitability. Which implies negative relationship between debt-equity ratio and profitability. On the other hand, increase in equity finance is associated with decline in profitability holding other factors constant. However, the study recommends a comprehensive assessment and consideration of situational factors while carrying out capital structure decision inverse relationship between debt-equity ratio also implies that excessive debt may pose financial risk and make the company less attractive to potential investors.

TRANSITION AND REGIONAL DIFFERENTIATION OF THE AREA STRUCTURE OF FARMS IN POLANDarea structure of farms, agrarian transformation, regional variation, panel models, succession

The aim of the study was to identify and assess the transformations and regional differentiation of the area structure of farms in Poland. The primary source of data was information collected from the Central Statistical Office (CSO) on the basis of the results of the 2002, 2010 and 2020 Agricultural Censuses and the CSO’s Local Data Bank. The research was carried out on a voivodeship basis. In the study, econometric models were constructed and subjected to detailed verification, the dependent variable being the average area of the farm in hectares of agricultural land. The dependent variable was compared with 16 independent variables, which were selected because of their information potential and discriminatory ability. To explain the reasons for this variation, it was decided to use a model for panel data with constant effects. Lagrange and Hausman tests were used to verify them. The analysis showed that in the period studied, the most important factor adversely affecting the level of the area structure of farms in Poland was the labor resources in agriculture. The factors that accelerated the changes in the area structure also included the rate of succession and the level of education of farm managers.

Analysis of Environment, Social and Governance (ESG) Ratings and Financial Performance in Indian Firms: A Panel Data Study

This research examines the link between Indian companies' income and Environmental, Social, and Governance (ESG) ratings between 2014 and 2024. The study assesses how differences in ESG ratings affect financial performance using panel data regression analysis, which includes fixed effects and random effects models, as well as the Hausman test. The research provides a ten-year perspective on this dynamic by using sales data and ESG rankings that are collected from MoneyControl and Yahoo Finance, respectively. The results show a statistically significant negative relationship between revenue and ESG ratings, with a higher ESG score being correlated with lower income. This implies that even while businesses engage in sustainable practices, there's a chance that these initiatives won't always result in quick financial rewards. The research provides insights into the possible trade-offs between sustainability and profitability in the Indian environment and emphasizes the need of taking firm-specific aspects into account when assessing the effect of ESG activities.