Generalized Method Of Moments Research Articles

The role of green bonds in reducing CO2 emissions: a case of developing countries

PurposeThe global economy is growing very fast, and it is also facing environmental challenges. Due to increased economic activities, global warming is rising as a result of greenhouse gas emissions. Concepts like green finance and green investments are emerging to battle climate issues. The present study empirically examines the impact of green bonds on carbon dioxide (CO2) emissions in developing countries, as these countries are producing 63% of CO2 emissions around the globe.Design/methodology/approachTo check this impact, pooled ordinary least squares (OLS), fixed effect and generalized method of moments (GMM) techniques are applied using the annual data of 65 developing countries from 2008 through 2021.FindingsThe results indicate that the overall effect of green bonds on CO2 emissions is negative, as more issuance of green bonds reduces CO2 emissions, confirming results from the existing empirical literature. The study found that more foreign direct investment (FDI) and urbanization lead to more CO2 emissions, while increase in trade openness helps reduce CO2 emissions. It was found that promoting green bonds will help to promote environmentally friendly projects that will help to reduce CO2 emissions. Rapid urbanization has led to more energy demand for various industries like manufacturing, transportation and residential sectors, which leads to more CO2 emissions.Practical implicationsThe policymakers in these countries should make policies that help in reducing carbon emission by increasing green bonds and FDI in supporting projects that are environmentally friendly. Therefore, to mitigate such current and future issues, policymakers in developing countries need to give serious attention to this area to fulfill sustainable development goals.Originality/valueThis study presents a pioneering examination of green bonds and CO2 emissions in 65 lower- and middle-income countries (developing countries). We have tried to cover all developing countries that are causing more greenhouse gas emissions and need to shift to green finance strategies. It will be a contribution to the body of knowledge regarding the role of green bonds in reducing CO2 emissions. The present study will help in assessing the importance of green bonds in bringing low-carbon economies.

Investigating the relationship of government revenue and expenditure on economic growth using a generalized method of moments: Does state-level panel ensure sustainable growth?

The current research project investigates the correlation between economic growth, government spending, and public revenue in seventeen Indian states spanning the years 1990 to 2020. An analysis of the relationship between key fiscal policy variables and economic growth was conducted utilising a panel data approach, the Generalised Method of Moments (GMM), and fully modified Ordinary Least Squares (FMOLS & DOLS) estimation. In our investigation, we assessed the impacts of non-tax revenue, development plan expenditure, tax revenue, and development non-plan expenditure on (i) the net state domestic product (NSDP) and (ii) the NSDP per capita. The findings indicate that the selected fiscal variables are significantly related. The results indicate that expeditious expansion of the fiscal sector is obligatory to stimulate economic growth in India and advance the actual development of the economies of these states.

The Impact of Digital Inclusive Finance on Economic Growth in Xinjiang Uygur Autonomous Region, China

With the advancement of digital technology and the in-depth exploration of inclusive finance, digital inclusive finance has emerged as a result. The development of digital inclusive finance is propelled by the reduction of costs and barriers in financial services through digital technology. Xinjiang Uygur Autonomous Region, due to its remote geographical location, faces spatial constraints that are overcome by digital inclusive finance. Therefore, this paper focuses on the study of the effects of digital inclusive finance on economic growth in Xinjiang. To analyze the impact of digital inclusive finance on economic growth in the Xinjiang region, this paper constructs a dynamic panel GMM (Generalized Method of Moments) model based on panel data from Xinjiang Uygur Autonomous Region for the years 2011-2019. Empirical analysis reveals that digital inclusive finance has a positive effect on economic growth in the Xinjiang region.

A longitudinal examination of anti-corruption disclosure in the banking sector of a least-developed economy: does board composition make a difference?

PurposeThis study focuses on anti-corruption disclosure (ACD) as a critical indicator of a bank’s commitment to combat corruption. It seeks to measure the level of ACD in banking companies. Emphasizing the pivotal role of board directors in ensuring corporate accountability and transparency, the study further explores the connection between board composition and ACD.Design/methodology/approachThis study adopts automated content analysis (using keyword search) to measure the level of ACD in the annual reports of listed banks in Bangladesh. Drawing upon agency theory and resource-dependence theory, the study proposes that the collective monitoring and resources facilitated by a well-structured board (size, gender diversity and independence) significantly influence a bank’s commitment to combat corruption. The paper employs linear regression to examine the hypotheses. The reliability of the findings is further validated through the application of the Generalized Method of Moments (GMM) and Quantile Regression.FindingsThe results indicate a steady rise in ACD over the sample period (2014–2022). The analysis establishes that larger board sizes and a greater presence of female directors are positively associated with ACD. Notably, the study identifies a critical mass of at least three female directors for a significant positive relationship between gender diversity on the board and ACD. However, no significant relationship is observed between board independence and ACD.Practical implicationsThe study sheds light on the current state of ACD within the banking companies of a least-developed country. The findings carry significant implications for regulators to gauge banks' dedication to anti-corruption efforts and make informed decisions on issuing guidance for enhanced ACD. These findings can also assist regulators in assessing the implications of board composition and formulating guidelines within the corporate governance code.Originality/valueThis study contributes to the literature on ACD in the context of a least-developed economy. Notably, the study fills a research gap by exploring ACD in the banking industry. A key aspect of this study is its exploration of the determinants of ACD, explicitly emphasizing how board composition is likely to influence ACD.

How do financial inclusion and bank stability explain agricultural productivity in Sub-Saharan Africa?

PurposeThis study aims to examine the impact of financial inclusion and bank stability on agricultural productivity in Sub-Saharan Africa (SSA).Design/methodology/approachThe study used 38 countries in the SSA with data spanning between 2004 and 2021. The data were analyzed using the two-step system generalized method of moments (GMM) and the panel-corrected standard error (PCSE) model.FindingsThe study found a positive effect of financial inclusion and bank stability on agricultural productivity. The study also discovered that while the access component of financial inclusion has a negative influence on agricultural productivity, the usage dimension has a positive impact.Research limitations/implicationsThe study suggests to policymakers that an inclusive and stable financial system improves agricultural productivity. The findings recommend that policymakers should empower farmers to leverage financial inclusion.Originality/valueThis study provides insightful discussion on the impact of financial inclusion and its various dimensions and bank stability on agricultural productivity in SSA.

Structural Change in the 21st Century: The Role of the Modern Services Sector in the Economic Development Strategy

ABSTRACT Traditional literature on Economic Growth highlights the role of the manufacturing sector in fostering economic growth. This sector, characterized by increasing returns, plays a fundamental role in both static and dynamic scale gains within the economy. Recently, an increasing number of studies have suggested that the increased share of the modern services sector also significantly contributes to innovation, productivity, and increased output. The aim of this paper is to reevaluate growth theories in light of the emerging prominence of the services sector and to outline key components of a research agenda that encompasses this sector as a crucial area of investigation. To substantiate this argument, we apply a GMM (Generalized Method of Moments) model to a dataset spanning from 1990 to 2018, encompassing fifty-one (51) countries, in order to evaluate the impact of modern services on manufacturing performance. An interaction variable is employed to test whether a symbiotic relationship between industry and services is the driving force behind economic growth. The results demonstrate the relevance of the services sector. Finally, we suggest possible research lines to be developed.

How does economic policy uncertainty impact CO2 emissions? Investigating investment's role across 22 economies (1997–2021)

Economic policy uncertainty (EPU) has significant implications for both economic growth and CO2 emissions through investment and consumption. Existing research has produced mixed findings on the impact of EPU on CO2 emissions. Nevertheless, there is a need for further empirical investigation into the role of investment in the relationship between EPU and CO2 emissions in various economies. This article contributes to the literature by examining the investment channel in the EPU-CO2 emissions nexus in 22 economies using annual panel data from 1997 to 2021. The analysis was conducted using eight specifications to classify the empirical estimates of the direct and indirect impacts of EPU on CO2 emissions through the investment channel. The CD test, CADF test, and CIPS test were used to test for cross-sectional dependence, unit root, and cointegration, respectively. The GMM estimation technique was used to test for the long-run relationship. The empirical results suggest that both direct and indirect EPU stimuli on CO2 emissions through the investment channel are positive, and the EKC hypothesis holds. Furthermore, findings show that fossil-fuel energy usage leads to an increase in CO2 emissions. Given the significant impact of economic policy uncertainty on CO2 emissions, policymakers should consider the environmental implications of their policy decisions. Second, reducing fossil fuel energy usage in the production process should be a priority to mitigate the impact of EPU on CO2 emissions.

Global Uncertainty: The Influence of Monetary Policies Order and Inflation Volatility on Bank Profitability African Bank and Middle East Bank

The objective of this paper is to examine the factors that influence the resilience and adaptability of banks to economic disruption. The aim is to encourage a collaborative and cooperative approach to these challenges. This study analyses the impact of monetary policies, inflation trends, and bank-specific determinants on bank profitability in the African and Middle Eastern regions. A quantitative research approach was used to assess macro and micro factors affecting bank profitability, using secondary data. The macro variables were obtained from the International Monetary Fund (IMF), and the micro variables were extracted from the banks' annual accounts. The research findings indicate that monetary policy and inflation have significant impacts on banks' profitability. Additionally, the System Generalized Method of Moments (GMM) model revealed that the annual interest rate (IR), inflation (INF), capital adequacy ratio (CAR), and previous financial performance (Lagged ROA/ROE) have positive and significant effects on both ROA and ROE. In addition, the loan-to-deposit ratio (LDR) had a significant positive effect on ROE, while the non-performing loan ratio (NPLr) had a significant negative effect. The validity and suitability of the GMM regression model used in this study were confirmed by the AR(2) and Sargan Test results. These findings provide valuable insights for decision-makers in the banking sector to respond to changes in monetary policy and manage risks associated with inflation fluctuations. The study emphasizes the importance of capital management and credit risk management in sustaining bank profitability amidst economic uncertainty.

Discovering the relationship between Agri funding and Agri contribution to GDP

One of the main goals for Bangladesh is to achieve economic growth by increasing agricultural productivity. I will be conducting research to examine how agricultural financing and contributions impact Bangladesh. The researchers collected yearly time series data from the Bangladesh Bank (BB), Ministry of Finance (MoF), and Bangladesh Bureau of Statistics (BBS) for the period of 2012 to 2022. This article employed the GMM estimation technique using SPSS to examine the short- and long-term relationships between agricultural financing and agricultural contribution, along with other control variables. The findings of the study showed that there are connections between agricultural funding and agricultural contribution in both the short-term and long-term. Additionally, agricultural productivity is affected by various dynamic factors including GDP, inflation, interest rates, and government agricultural spending. The dependent variable in this study was GDP, while the independent variable was agricultural production. Most agricultural processing sectors, along with some agricultural producing sectors, have a greater potential for making money. This research indicates that it would be beneficial to increase agricultural financing in order to support the economic development of Bangladesh.

Digital financial inclusion, international remittances, and poverty reduction

Ensuring access to and usage of formal financial services through digital devices can be referred to as “digital financial inclusion” (DFI). In recent years, there has been a growing trend in the use of financial services, including money transfers through mobile phones. This study applies mobile phone subscriptions as a proxy to measure the degree of DFI and explores the individual effects of DFI and remittances and their interaction effects on poverty conditions in developing countries. Using panel data from 2000 to 2020 for 123 countries and employing the dynamic generalized method of moments estimation, the results reveal that DFI and remittance inflows help ameliorate poverty in developing countries. Furthermore, we find that the coefficient of the interaction term between DFI and remittances is statistically significant and positive, suggesting that the impact of DFI on poverty alleviation could weaken as remittance inflows increase in the remittance-receiving country and vice versa.

Foreign direct investment, information and communication technology, and economic growth: The case of North African Countries

This paper examines the role of information and communication technology (ICT) in modulating the effects of foreign direct investment (FDI) on economic growth in North Africa (Morocco, Algeria, Tunisia, and Egypt) over the period 1995 to 2021. Using advanced quantitative methods, including quantile regression, and comparing with Two-Stage Least Squares (2SLS) regression and Generalized Method of Moments (GMM), the study assesses the impact of FDI and ICT on growth, controlling for country fixed effects. The results indicate that FDI has a significant positive impact on growth, particularly when interacting with transmission channels, notably the telephone (mobile and fixed). However, the interaction with the internet varies according to quantile levels, showing positive effects at low quantiles and negative effects at high quantiles. The study highlights the importance of investment policies, digital inclusion, and research to optimize the benefits of FDI in the region.

Sustainable accounting quality and its impact on financial success aligned with SDGs

Purpose Financial and nonfinancial disclosures (sustainable accounting) are crucial in the annual financial reports of many firms. This study aims to explore the dynamic relationship between sustainability disclosure quality (SDQ) and financial performance (FP) within mandatory disclosure frameworks. SDQ is evaluated across six dimensions, encompassing both the quality and quantity of disclosures, aiming to understand their reciprocal influence. Design/methodology/approach Using the generalized method of moments (GMM), this research analyzes data from 2013 to 2019, focusing on 99 listed Indian firms within the S&P Bombay stock exchange (BSE) 500 index. The study uses rigorous measurement criteria to assess SDQ and uses statistical methods to unveil the causal link between SDQ and FP. Findings The results show a positive causal connection between SDQ and FP, where organizations with good FP make relatively higher disclosures across FP proxies than their counterparts. Additionally, the study investigates the impact of research and development (R&D) expenditure and dividend payments (DIVD) on SDQ. Notably, lower R&D spending is associated with higher quality SDs, and companies with superior SDQ exhibit increased DIVD. Practical implications The findings advocate for strengthened regulatory compliance, incentivized sustainable practices and heightened reporting standards for a transparent business environment and achieving the relevant United Nations Sustainable Development Goals. Originality/value This research contributes original insights by uncovering the intricate relationship between SDQ and FP, shedding light on the impact of R&D expenditure and DIVD on SDQ. These findings contribute to a nuanced understanding of the interplay between FP and sustainability reporting within the context of mandatory disclosure frameworks.

A machine learning and quantile analysis of FINTECH and resource efficiency in achieving sustainable development in OECD countries

This study aims to examine the impact of fintech investments and resource efficiency on sustainable development in OECD countries between 2010 and 2019. Various estimation techniques, including the Method of Moments Quantile Regression (MMQREG), machine learning-based Kernel Regularized Least Squares (KRLS), and Generalized Method of Moments (GMM), have been utilized in this study. MMQREG and KRLS are both estimators that examine the relationship between variables in several qunatiles, increasing the reliability of the findings. The research results indicate that fintech investments and resource efficiency support sustainable development. Additionally, institutional quality, environmentally friendly technologies, and foreign trade are found to have a positive impact on sustainable development. These findings suggest that financial technology and resource management can play a significant role in promoting both economic and environmental sustainability.

Market power, human capital efficiency and bank performance in Kenya

PurposeThe study evaluates the influence of human capital efficiency (HCE) and market power on bank performance.Design/methodology/approachThe study employs two measures of bank performance: profitability and stability. Unbalanced panel data of 35 banks operating in Kenya for 2005–2020 collected from published financial statements is utilized. The study employs the feasible generalized least squares (FGLS) method in the analysis and the two-step system generalized method of moments (GMM) for robustness check.FindingsThe study affirms an inverted U-shaped relationship between market power and bank performance. The effect of market power on bank profitability is enhanced when a bank has highly efficient human capital. Further, HCE significantly impacts bank stability for banks with low HCE. Interestingly, a further increase in HCE narrows the net interest margins for banks with high HCE, conferring welfare benefits to customers as interest rate spreads shrink.Practical implicationsThis study provides important insights into the role of human capital in bank performance. First, banks ought to invest in promoting HCE through training and development. As regulators root for bank consolidation, attention to HCE is imperative for fostering profitability and stability.Originality/valueThe study fills an essential gap in the literature by evaluating the effect of firm-level market power on bank performance in an emerging market. We adopt a novel stochastic frontier estimator to generate the Lerner index. Further, this is the first study known to the authors to evaluate the effect of market power on bank performance in the context of human capital efficiency variations.

Human Capital Efficiency and Firm Performance of Quality-Certified Firms from EFQM Excellence Model: A Dynamic Panel Data Study

Abstract Purpose The study’s main purpose is to investigate the impacts of human capital efficiency (HCE) on the firm performance of non-certified and quality-certified firms from the European Foundation for Quality Management (EFQM) Excellence Model. The study also examines the relationship between firm performance and quality-certificates from the European Foundation. Design/methodology/approach By using a sample of 282 non-certified and 22 quality-certified firms from 2017 to 2021, the current study employed a two-step system generalized method of moments (GMM) estimation to analyse the empirical data. The dummy variable is used to examine the relationship between quality-certificates and firm performance. The dummy interaction term is employed to quantify the impacts of HCE on the firm’s performance for quality-certified firms. Findings The results revealed that quality-certificates and firm performance have a positive relationship. Quality-certified firms perform better and earn more profits than non-certified firms. HCE has a positive impact on firm performance for both types of firms. Moreover, the quality-certified firms utilize HCE in an efficient way to earn more profits compared to the non-certified firms. Originality This is the first study to use a comprehensive analysis to emphasize the HCE for non-certified and quality-certified firms separately. The effects of quality-certificates on firm performance in the context of HCE are also being highlighted for the first time in this research. Practical implications The current study’s findings are fruitful for academics, managers, researchers, policymakers, and other firm management. The findings will encourage the management of the firms to implement the total quality management (TQM) approach within their firms.

Addressing Environment, Social and Governance (ESG) Investment in China: Does Board Composition and Financing Decision Matter?

This study examined the link between board composition and environment, social and governance (ESG) investment, and how financing decisions moderate this nexus. The study constructed hypotheses using insights derived from stakeholder and agency theories. We used secondary data from 2010 to 2022 to conduct an empirical analysis using the system Generalized Method of Moments (GMM) and Fixed Effect (FE) estimators. This study found a positive and significant relationship between board independence, sustainability committee, gender diversity, managerial ownership, board meetings and ESG investment. We also found a negative connection between CEO duality, board size, foreign nationals on the board, annual remuneration, and ESG investment. Furthermore, financing decisions significantly moderated the relationship between board composition and ESG investment. The results confirm the importance of board composition and financing decisions in ESG investment in Chinese manufacturing firms. The results show that splitting the CEO and chairperson roles and frequent board meetings can improve a company's ESG investment. Policymakers should facilitate company operations by providing regulations for ESG investment.

Inference of Dynamic Spatial Panel Data Model and Its Application in Carbon Emission Analysis

The Spatial Dynamic Panel Data (SDPD) model is a widely used statistical model in the fields of economics and social sciences and has been the subject of extensive research by many scholars in recent years. Existing methods for parameter estimation primarily focus on improvements to the Generalized Method of Moments (GMM) and Quasi-Maximum Likelihood (QML). In this paper, we employ the method of Empirical Likelihood (EL) for statistical inference of the dynamic spatial panel data model and obtain confidence regions for the parameters. Through numerical simulations, we present the performance of the confidence regions obtained using the Empirical Likelihood (EL) and the Asymptotically Normal (NA) methods under finite samples and compare the two approaches. Finally, we analyze carbon using the suggested model and techniques.

Research and development expenditure gap: does women’s political empowerment matter?

ABSTRACT Sustained economic growth has been high on the list of priorities of many developed and developing nations, and the importance of new technology to sustained economic growth has long been recognized in the literature. Despite the extent of this literature and the importance of innovation to economic outcomes, surprisingly little is known about the effect of women’s political empowerment in the research sector. This study proposes filling this gap by examining the effect of women’s political empowerment on research and development expenditure. Using data from 66 developed and developing countries and system GMM estimation, we show that women’s political empowerment has exerted, on average, a positive effect on research and development investment. Moreover, further study shows that women's level of participation in civil society has the largest effect, followed by women’s civil liberties. By analyzing these underlying transmission channels, we find that this effect is partly due to the positive effects of women's political empowerment on the accumulation of human capital and on institutional quality, which in turn improve the level of spending on research and development. Based on these results, economic policy implications are discussed.

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.