Generalized Method Of Moments Research Articles

Impact of regulatory capital on bank interest margins: Moderating role of default risk

The recent pandemic and aftermath debate regarding bank interest margins deserve special attention and have become policy dialogue in emerging economies. However, the previous literature's findings were largely inconclusive and ignored influential variables such as the impact of default risk on bank interest margins. Using a two-step system GMM estimation considering 32 Bangladeshi commercial banks from 2000 to 2022, we produce robust evidence that higher regulatory capital restrictions reduce the bank interest margin, while increased default risk induces the bank interest margin. The impact intensity during the COVID pandemic is higher than in the pre-COVID period. Moreover, we find the synergy effect of regulatory capital and default risk assists in reducing the bank interest margin. Bank margin persistently fell during the capital market crash period, whereas it rose in the financial crisis period. We cast several robustness tests to confirm our main findings. These findings could generate important implications for bank stakeholders and policymakers.

Does Institutional Setting Contribute to the Public Debt — Income Inequality Relationship in Developing Economies?

In the context of increasing globalization, income inequality is one severe problem in several countries because it widens the income gap between the rich and the poor, which leads to social instability. Narrowing this gap has become one of the main agendas in many developing countries to satisfy the millennium goals proposed by the United Nations. Meanwhile, government expenditure is one crucial fiscal instrument as it contributes significantly to running the economy and overcoming economic cyclicality. In particular, governance/institutional can positively adjust the public debt — income inequality relationship in developing economies. The purpose of the study to identify the impact of institutional quality, public debt and their interaction on income inequality on a balanced data panel of 34 developing economies for the period 2002–2020. For monitoring endogenous problems and serial autocorrelation in empirical equations, two-step and one-step system GMM (Generalized Method of Moments) assessments are used. The results from the study show that public debt and the quality of institutions increase income inequality, but their interaction narrows it. These results seem to be counter-intuitive. Besides, education enhances income inequality in these economies. The results of the study provide some policy recommendations for reducing the inequalities in society through public debt and the quality of institutions in developing economies. Accordingly, governments in developing economies should use spending financed by public debt to support low-income individuals through social transfers throughout economic development. Importantly, they should spend more on education and health to help the poor improve their skills and knowledge, narrowing the income difference between the rich and the poor. In particular, they should be prudent in controlling and managing public debt to avoid a public debt crisis and social instability.

Exploring the Dynamic Relationships between Agricultural Production and Environmental Pollution: Evidence from a GMM-SYS Model in the Three Seas Initiative (3SI)

The Three Seas Initiative (3SI) is still an under-researched area and is particularly important due to historical circumstances and economic backwardness. A study was carried out to assess the impact of renewable energy and production made by the agricultural sector on CO2 emissions in 3SI countries between 2008 and 2020. The study used panel data analysis based on the two-step system’s generalized method of moments (GMM) and the Dumitrescu–Hurlin panel causality test. The results show that a 1% increase in the value added generated by agriculture increased CO2 emissions in the countries studied by 0.11%. In contrast, a 1% increase in GDP led to a 0.29% increase in CO2 emissions. Conversely, when renewable energy consumption increased by 1%, CO2 emissions fell by 0.25% in the countries studied. One way to reduce CO2 emissions from agricultural production in the short term is to increase the share of renewables, which incidentally is in line with EU action.

Market power and bank risks: insights from India and Bangladesh

Purpose This study aims to investigate whether various types of risks faced by the publicly listed commercial banks of India and Bangladesh are driven by market power and provides comparative insights from both economies. Design/methodology/approach By using the adjusted Lerner index to gauge bank market power and applying the generalised methods of moments (GMM) regression approach, the research delved into the relationship between bank market power and three distinct facets of risk across a sample of 26 publicly listed commercial banks in India and 22 listed banks in Bangladesh spanning from 2011 to 2022. Findings The results indicate that for Bangladesh, both “competition fragility” and “competition stability” viewpoints coexist simultaneously across all risk types, supporting a nonlinear relationship between market power and risk. However, in the Indian context, a nonlinear association exists only in the case of credit risk, while the relationship with insolvency risk is linear, substantiating the “competition fragility view”. Apart from market power and bank-specific variables, GDP growth rate has emerged as a prominent driver across all risk categories in both countries. Research limitations/implications The filtration of banks is a limitation that might have influenced the outcomes. This study recommends that the Reserve Bank of India encourages further bank consolidation. Along the same line, Bangladesh Bank should closely oversee the growing competitive landscape. Furthermore, the regulators must monitor the elevated levels of non-performing loans to reduce credit risk so as to bolster the stability of their respective banking sectors. Originality/value This comparative study is the first attempt to analyse the market power and risk relationship and includes a novel bank-specific variable, i.e. technology, apart from other established variables.

Environmental, social and governance and financial performance nexus in South African listed firms

Background: Environmental, social and governance (ESG) factors have become topical in recent years because of climate change existential threat to humanity. There is, however, a limited understanding of how the firm’s ESG efforts affect firm outcomes.Aim: The aim of this study was to investigate the relationship between firm’s ESG indicators and the financial performance.Setting: The sample is drawn from Johannesburg Stock Exchange (JSE) listed companies based on data availability. South Africa is not only plagued by social ills and governance failures, but it is also one of the world’s largest emitters of greenhouse gases, making it an ideal laboratory for studying the ESG and firm performance nexus.Method: We utilized a dataset spanning the years 2012–2022, covering 67 JSE-listed firms. These panel data were analyzed using the two-step system generalised method of moments (GMM).Results: We found that the disaggregated ESG indexes have a positive, albeit insignificant impact on the financial performance. These findings hold even when financial and non-financial firms are examined separately.Conclusion: Policymakers, including standard setters and regulators, should encourage firms to be sincere on ESG efforts and avoid greenwashing.Contribution: The study employs a relatively robust estimation technique (two-step system GMM) over a relatively long period (2012–2012). Furthermore, the sectoral analysis of financial and non-financial firms adds to the body of literature and policy development.

Workers’ Remittances to Sub-Saharan Africa: Do Institutional Quality and Financial Development Matter?

This paper examines the effects of institutions and financial development on workers’ remittances in sub-Saharan Africa. To achieve the objectives, a two-step system generalized method of moment (GMM) was utilized on a panel dataset of 38 countries in the region from 2005 to 2022. Empirical findings from the study reveal that some institutional indicators, namely, control of corruption, government effectiveness, political stability and rule of law have a significant impact in attracting remittances to SSA. Further evidence reveals that financial development indicators notably domestic credit to the private sector and domestic credit to the private sector by banks have a significant impact on remittances inflow in the region. Financial development indicators are found to complement some of the institutional indicators, such as control of corruption, political stability, government effectiveness, and rule of law on the inflow of remittances to the region. Government efforts should be geared toward improving the institutional framework and ensuring financial market development to increase the amount of remittances inflow to the region.

Banking Sector Development and Bank Risk-Taking Behaviour: Evidence from Commercial and Non-commercial Banks in Tanzania

This study investigates the effect of banking sector development measured by domestic credit provided by banks to private sector as percentage of GDP on risk-taking behaviour of the banks in Tanzania, measured in terms of bank capitalization ratio. The relationship was observed using annual country-level and bank-level data from commercial and non-commercial banks operating in Tanzania from 2012 to 2021. A system GMM estimation technique was employed in the investigation. Our results found that the effects of banking sector development on bank risk measured in terms of bank capitalization ratio is homogeneous across commercial and non-commercial banks. This means the development in banking sector measured as credit to the private sector by banks percentage of GDP in Tanzania has significant positive effect on bank capitalization ratio. Hence, reduce bank risk of default. Nonetheless, the findings reveal further that the profitability of bank and bank size factors are significant positive and negative respectively in relation to bank capitalization ratio. The results are further robust to bank ownership status dummy variable (DOSF) and for country of originality of the banks (DCOF) used to investigate whether there will be significant change in the result or not. The results of the robustness test indicate that banking sector development has insignificant effects on capitalization ratio when banks categorized as domestic and foreign banks as well as when banks categorized as private and state-owned banks.

Comprehensive Board of Commissioner Diversity and Corporate Social Responsibility Disclosure in Indonesia

This study examines the effect of comprehensive board of commissioner diversity (BOC_DIV) and corporate responsibility (CSR) disclosure for listed companies in Indonesia from 2019 – 2020. The implementation of CSR is growing in emerging markets, including Indonesia. In the context of the dual board system in Indonesia, the role of the board of commissioner is vital to address the growing CSR issue through their monitoring and supervising functions. We based our study on Indonesian-listed firms across industries. However, we exclude the financial sector due to different policies. Multiple Regression is employed to investigate the relationship, and the Generalized Method of Moment (GMM) model is executed to identify whether our model falls into the endogeneity problem. The results showed that several Board of Commissioner characteristics (such as size, independence, and gender) are positively associated with CSR disclosure. After testing for the endogeneity problem, the findings remain similar. We examine several dimensions of the board of commissioner diversity on non-financial outcomes, especially CSR disclosure, in the context of developing countries where a dual board system is implemented.

Estimating the direct rebound effect for residential electricity use in seventeen European countries: Short and long-run perspectives

The energy saved by improving the building efficiency of European households may not be as much as expected due to a rebound effect. Based on Eurostat and World Bank annual panel data covering the period 1996–2020, this article develops dynamic panel approaches, a generalized method of moments, and first-difference specifications, to investigate the direct rebound effect of residential electricity consumption in selected European countries. Instrumental variable techniques are used to tackle the reverse causality of the electricity price in a demand model. Estimates of the direct rebound effect in residential electricity use are 18% in the short-run and 43% in the long-run. Our findings reject the hypothesis of a backfire effect in residential electricity demand. They have important implications for policy makers, suggesting the need for smart policies that consider energy consumption behaviors and decision-making processes among various households.

Bank ownership and credit risk: an empirical study of Indonesian Islamic local banks

Purpose This study aims to determine the effect of bank ownership on the credit risk of Indonesian Islamic local banks (ILBs). Design/methodology/approach This study uses the system generalized method of moments (GMM) estimation technique with a sample of 155 Islamic local banks in Indonesia from 2012 to 2019. Findings The results show that commissioner board (D.COW) ownership has a negative effect on credit risk. This indicates that an increase in the number of shares of Islamic local banks owned by the commissioner board reduces credit risk. On the other hand, government ownership (D.GOW), the Sharia supervisory board (D.SOW) and the director board (D.DOW) do not affect credit risk. Practical implications The government, Sharia supervisory board and director board need opportunities to easily own more Islamic local bank shares. Therefore, the provisions regarding the share ownership rights of the government, Sharia supervisory board and director board need to be improved to increase their role in reducing credit risk. Originality/value Previous researchers have not studied the effect of government ownership, the commissioner board, the Sharia supervisory board and the ownership of directors on credit risk at the ILB in Indonesia.

The role of green finance, environmental benefits, fintech development, and natural resource management in advancing sustainability

Green finance, generally considered as financial support for green growth, significantly reduces greenhouse gas and air pollutant emissions. Green finance in agriculture, green buildings and other green projects should increase the economic development of a country. Rapid advances in digital technology are revolutionizing the financial landscape. The rise of fintech has the potential to make financial systems more efficient and competitive and broaden financial inclusion. With greater technological complexity, however, fintech also brings potential systemic risks. Thus, using a panel dataset from the G7 and E7 countries, this investigation explores the interplay between green finance, environmental benefits, total natural resource management, fintech and economic sustainability. The panel dataset is subject to rigorous estimation techniques, including quantile regression and the generalized method of moments (GMM) for long-run estimation. The cointegrations among the variables are validated using the Johansen Fisher panel test. In the long-run estimation, the quantile regression shows significant influences of environmental benefits and total natural resource management. The GMM strengthens the analysis due to its effectiveness and reliability in the presence of heteroskedasticity. The outcomes of the GMM technique support the negative and significant impact of fintech, green finance and total natural resource management on GDP, while environmental benefits are significantly positively linked with GDP. The study enhances our understanding of the nexus between environmental factors and economic sustainability. Therefore, it has value in terms of its practical implications, offering policymakers insights for enhancing economic sustainability. Despite the significant contribution of the study, the limitations are acknowledged, which provide future researchers opportunities to expand on the topic.

Semiparametric spatial autoregressive models with nonlinear endogeneity

. This article constructs nonparametric two-step least squares (2SLS) and generalized method of moments (GMM) sieve estimators to estimate a functional-coefficient spatial autoregressive model with an endogenous environment variable. We derive the consistency and asymptotic normality results for our proposed sieve estimators. A small Monte Carlo study shows that our proposed estimators exhibit good finite-sample performance. An empirical application is used to illustrate the usefulness of our methods.

The relationship between foreign direct investment and financial inclusion in MENA countries: Evidence from the General Method of Moments

The study delves into the nuanced interaction between foreign direct investment (FDI) and financial inclusion in the MENA region, spanning the years 2003 to 2022 and employing the General Method of Moments for rigorous analysis. Its primary objectives are to elucidate how financial inclusion influences FDI and to examine the mediating role of economic growth and inflation as key factors. Key findings reveal a robust positive correlation between financial inclusion and FDI inflows within MENA countries. Specifically, the study uncovers significant relationships between FDI and the various dimensions of financial inclusion, including access, availability, and usage. This underscores the pivotal role of inclusive financial systems in attracting foreign investment. Moreover, the study highlights the symbiotic relationship between economic growth and FDI, indicating that heightened levels of economic prosperity attract greater investment. This underscores the importance of fostering conducive economic conditions to attract foreign capital. Furthermore, the study underscores the critical role of financial inclusion in shaping monetary policy and mitigating investment risks. By facilitating access to capital and reducing uncertainty, financial inclusion promotes transparency and stability, thereby enhancing the attractiveness of foreign markets for investment.

Does the Too-Big-To-Fail status affect depositor’s discipline: a Gaussian mixture model algorithm approach

PurposeThis study empirically demonstrates a contradiction between pillar 3 of Basel norms III and the designation of Systemically Important Banks (SIBs), also known as Too Big to Fail (TBTF). The objective of this study is threefold, which has been approached in a phased manner. The first is to determine the systemic importance of the banks under study; second, to examine if market discipline exists at different levels of systemic importance of banks and lastly, to examine if the strength of market discipline varies at different levels of systemic importance.Design/methodology/approachThis study is based on all the public and private sector banks operating in the Indian banking sector. The Gaussian Mixture Model algorithm has been utilized to classify banks into distinct levels of systemic importance. Thereafter, market discipline has been observed by analyzing depositors' sentiments toward banks' risk (CAMEL indicators). The analysis has been performed by employing the system Generalized Method of Moments (GMM) to estimate models with different dependent variables.FindingsThe findings affirm the existence of market discipline across all levels of systemic importance. However, the strength of market discipline varies with the systemic importance of the banks, with weak market discipline being a negative externality of the SIBs designation.Originality/valueBy employing the Gaussian Mixture Model algorithm to develop a framework for categorizing banks on the basis of their systemic importance, this study is the first to go beyond the conventional method as outlined by the Reserve Bank of India (RBI).

Enterprises’ Emissions Intensity and Financial Performance in Serbia: The Case Study of Wastewater

Untreated industrial and municipal wastewater is the key factor that leads to water pollution in Serbia. The aim of the paper is to examine the impact of environmental performance (using eco-intensity indicators) of enterprises on their profitability in the period 2011-2020 in Serbia in the area of wastewater. Apart from using the panel data technique in the paper, the Generalized Method of Moments (GMM) is also used to estimate the parameters in the model. The results demonstrate that if the eco-intensity indicator increases, the profitability of an enterprise increases significantly, whereas the profitability of an enterprise decreases with the increase in the size of an enterprise. According to the results of the evaluated model, the capital intensity variable has no influence on the profitability of an enterprise. Additionally, it has been determined that the coefficient with the eco-intensity indicator is quite large, indicating the poor eco-efficiency of Serbian enterprises in the area of wastewater.

Corporate governance and corporate carbon disclosures: The moderating role of earnings management

AbstractThis research aims to explore the relationship between corporate governance (CG) and carbon disclosure (CD) and the moderating role of earnings management (EM) in this relationship. The model was built based on legitimacy theory, upper echelons theory, and agency theory. We employed a two‐step generalized method of moments (GMM) regression and conducted robust tests to reaffirm the results using panel data from 134 listed companies in the Vietnamese stock market from 2015 to 2022. Our findings indicate that larger board sizes, boards with more independent members or the presence of a CEO who concurrently serves as the chairman of the board can potentially decrease the likelihood of CD, while companies with a higher proportion of female board members or regular board meetings may tend to publish more carbon information. Furthermore, EM can moderate the relationship between CG and CD, and this variable exhibits high reliability in the model. This research adds to the vast body of existing knowledge about the effectiveness of CG by investigating how different dimensions of CG affect corporate CDs in Vietnam, especially, to the best of the authors' knowledge, this is the first research attempting to provide the empirical result of the moderating role of EM in the relationship between CG and corporate CDs.

Impact of social welfare finance on institutional financial performance: Cross-country evidence

This study explores the nuanced impact of social welfare finance on institutional financial performance, focusing solely on its direct effects. Utilizing fixed effect, feasible generalized, and quantitative approaches alongside the dynamic generalized method of moments (GMM), we conduct a thorough analysis using data from 20 upper-middle-income economies spanning 2000–2023. Our findings highlight the pivotal role of social welfare finance, including its dynamic and lagged impacts, as a significant determinant of institutional financial performance. Quantile analysis reveals varying effects across different quantiles, enriching our understanding. The results emphasize the direct influence of social welfare finance and unveil its indirect impact through Corporate Social Responsibility (CSR), a novel contribution to the literature. Moreover, we stress the critical importance of reasonable resource allocation, highlighting the indispensable role of social welfare finance resources. We advocate for prioritizing public-private partnerships to optimize financial targeting, offering a pragmatic strategy for fostering a resilient financial economy.

How does governance quality affect the shadow economy-sustainable development nexus? New insights from a dynamic threshold analysis

Purpose The purpose of this study is to assess the impact of the shadow economy on three sustainable development indicators while considering the moderating effect of the governance quality, and to highlight the non-linearity of the considered relationship.Design/methodology/approach A sample of 82 countries covering the period from 1996 to 2017. The dynamic first-differenced generalized method of moments (FD-GMM) panel threshold model is implemented to control for non-linearity.Findings The shadow economy hinders sustainable development in countries with low-governance quality, while the opposite result holds in countries with high-governance quality. The critical thresholds triggering the switch from one regime to another vary across the sustainable development indicators. Boosting growth requires enhancing the legal system and the economic dimension of governance, while promoting environmental quality requires the implementation and enforcement of specific environment-friendly regulations.Originality/value The study addresses non-linearity and the moderating effect of governance quality. The use of six governance indicators allows to gauge the ability of each governance dimension to curb the negative effects of the shadow economy. Considering the three objectives of sustainable development allows to identify specific policy recommendations for each of them.

THE MODERATING ROLE OF IFRS ADOPTION SPEED IN THE RELATIONSHIP BETWEEN CAPITAL INFLOWS AND INCLUSIVE GROWTH IN SUB-SAHARAN AFRICA

Purpose: This study investigates how the speed of International Financial Reporting Standards (IFRS) adoption condition the capital inflows and inclusive growth nexus in Sub-Saharan Africa. While existing literature primarily examined IFRS impacts at the firm level, this study filles a significant gap by focusing on the macroeconomic effects of IFRS adoption speed, particularly its role in enhancing the benefits of capital inflows such as Foreign Direct Investment (FDI), Foreign Portfolio Investment (FPI), and Foreign Aid.   Methods: This study employs a dynamic panel data analysis using the Generalized Method of Moments (GMM) to examine how the speed of IFRS adoption impacts capital inflows and fosters inclusive growth across Sub-Saharan African countries. The study leveraged a dataset spanning from 2005 to 2019, covering 48 countries in the region. By analysing the relationship between IFRS adoption speed, capital inflows, and inclusive growth, the study offers new insights into the macroeconomic benefits of adopting IFRS.   Findings: Findings suggest that speedy IFRS adoption significantly enhances the positive impact of capital inflows on inclusive growth, underlining the importance of swift and effective implementation of IFRS for equitable economic development.   Implications: This study contributes to the existing literature by providing a macroeconomic perspective on IFRS adoption and highlighting the importance of financial reporting standards in achieving inclusive growth in Sub-Saharan Africa.   Originality: This study introduces a novel approach by examining how the speed of International Financial Reporting Standards (IFRS) adoption moderates the impact of capital inflows on inclusive growth in Sub-Saharan Africa. Bridging the gap in existing literature, it shifts the focus from firm-level effects of IFRS and direct impacts of capital inflows on economic growth to a nuanced exploration of how financial reporting standards' adoption speed can enhance a country's ability to utilize foreign investments for inclusive economic development. Unique in its regional focus, this research provides critical insights into the macroeconomic benefits of IFRS in Sub-Saharan Africa, offering valuable implications for policymakers and contributing significantly to the discourse on financial innovation, regulatory frameworks, and sustainable economic growth in emerging markets.

Financial inclusion and the informal sector

This paper explores the relationship between the informal sector and financial inclusion for a sample of 186 countries across the period 2004–2018 by using various methods of estimations—ordinary least squares, instrumental variables, fixed effects, and general method of moments. The results show financial inclusion significantly reduces the size of the shadow economy throughout indicators of access and usage of financial services. The results are also robust when controlling by income level, these results strongly support the use of financial inclusion as an effective vehicle to lessen informality. Our policy recommendations are directed towards improving financial infrastructure and fostering inclusive financial environments to effectively decrease informality. Adopting dynamic, long-term strategies to sustain financial inclusiveness is key to achieving lasting reductions in the informal sector.