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This study utilizes cross-country data from 2002 to 2019 from 60 selected developing countries to explore the impact of competition and financial inclusion on financial stability. Employing the system GMM estimator, compelling evidence is revealed, highlighting a number of key findings. Firstly, it is observed that financial inclusion has a weakening effect on financial stability within developing countries. Conversely, competition among these nations demonstrates a significant capacity to bolster financial stability. Additionally, the study underscores the pivotal role of financial development, identifying it as a primary driver that enables financial inclusion to positively influence financial stability within developing nations. Furthermore, the introduction of the square term of financial inclusion yields noteworthy insights, revealing a nonlinear relationship. Specifically, the findings suggest that strategic investments in the financial inclusion of developing countries have the potential to enhance financial stability up to a certain threshold. Therefore, for emerging economies seeking to fortify their financial stability, prioritizing efforts to augment financial inclusion is imperative. Over the long term, such endeavors have the potential to yield tangible improvements in financial stability. In conclusion, the research offers valuable policy implications. These include recommendations aimed at fostering greater financial inclusion within developing economies as a means of bolstering overall financial stability. By heeding these suggestions and implementing targeted policies, policymakers can work towards cultivating a more resilient and robust financial landscape within their respective nations.

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Environmental expenditures (EX) are made by the government and industries which are either long-term or short-term investments. The principal target of EX is to eliminate environmental hazards, promote sustainable natural resources, and improve environmental quality (EQ). Thus, this study looks at the impact of economic growth (EG), and government finance expenditure (GEX) on EQ in Northern Africa and Southern Africa (NASA) republics from 2000-2016. The panel quantile regression (PQR) and panel vector autoregressive (PVAR) model in a generalized method of moment framework (GMM) were employed as a framework. The PQR results show that; (i) In Northern republics, GEX had a significant positive effect on EQ at 25%, 50%, and 75% quantiles levels. (ii) In the Southern republics, GEX had a significant negative impact on EQ at 25%. Moreover, the PVAR through the GMM established that EG and GEX are significantly positive while the parameter for CO2 is insignificant and negative in the North. However, in the South, GEX and CO2 were statistically significant, while EG positively impacts EQ. Lastly, the granger causality report in North indicates uni-directional causation running from LNGEX → LNGDPpc, LNCO2 → LNGDPpc, LNFF → LNGEX, and LNFDI → LNGEX. Similarly, there is uni-directional causation in South republics from LNGEX → LNGDPpc, LNCO2 → LNGEX, and LNFDI → LNGEX.

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Carbon neutrality is a 21st-century priority area, with the Middle East and North Africa (MENA) countries making significant investments in renewable energy and climate mitigation initiatives to attain it. However, carbon neutrality research in the MENA region is under-developed, particularly when considering the roles of renewable energy, economic growth, and effectiveness of government. To address this gap, this research investigates the roles of renewable energy, economic growth, and government effectiveness toward the MENA region's carbon neutrality goal. We implemented heterogeneous and second-generation panel data techniques that are resilient to cross-sectional dependency and slope heterogeneity to panel data spanning 16 MENA countries from 1996 to 2018. We discovered that MENA data are cross-sectionally dependent, heterogeneous, and cointegrated. We found that government effectiveness and renewable energy bring carbon neutrality closer, but economic growth initially delays it. We detected Environmental Kuznets Curve (EKC) in the MENA region, specifically in the High-Income Countries. Although there were signs of EKC in the Middle-Income Countries, this was not significantly validated. Finally, we found a one-way causal link from government effectiveness and renewable energy to carbon neutrality but a feedback mechanism between economic growth and carbon neutrality in the MENA region. As a result of these findings, it is recommended that the MENA region's policymakers prioritize renewable energies and improve the effectiveness of government to drive economic growth toward the carbon neutrality goal.

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In sub-Saharan Africa, economic expansion and its environmental implications have become major problems. The banking system has been described as a mechanism for decoupling economic expansion from environmental implications. However, the function of bank financing in the growth-environmental consequences in SSA remains undeveloped. This study investigated the role of bank financing in economic growth and environmental outcomes in SSA over the period 1990-2018. We implemented the novel panel quantile regression and panel vector autoregressive models in a generalized method of moments' framework to investigate the influence of bank financing on economic growth and carbon emissions, and the moderating effect of bank financing in growth-environmental consequences among the four regional economies in SSA. The empirical results revealed that bank financing (1) increases economic growth and carbon emissions across quantiles; (2) positively influences economic growth and carbon emissions of East and Central African regions but negatively influences economic growth and carbon emissions of the West African region; (3) mitigates growth-emissions outcomes of low-emission countries but worsens growth-emissions outcomes of median and high emission countries; and (4) worsens growth-emissions outcomes of East and Central African regions but mitigates growth-emissions outcomes of Southern and West African sub-regions. The variance decomposition and impulse response results discovered that the role of bank financing in growth-environmental challenges varies in terms of magnitude and elasticities across the sub-regions over the sampled period. The study also revealed mixed findings regarding the existence of the EKC hypothesis for the sub-regional economies in SSA.

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South Asian Association for Regional Cooperation (SAARC) countries like other developing countries are the major destination for foreign investors. At the same time, these countries are facing different climate change challenges. This study aims to inspect the economic determinants of carbon emissions (CE) and dynamic causal interaction of CE with foreign direct investment (FDI), economic growth (EG), and other economic factors using panel cointegration test, dynamic ordinary least squares (DOLS) and vector error correction model (VECM) for the SAARC countries. To make the homogenous analysis, we examined the association among variables for the individual country and as a group for the period 1990 to 2016. The panel results of this study confirmed the presence of the unidirectional causal association of EG with CE. The panel results of other economic factors confirmed the causality of urban population (UP) and energy consumption (EC) with CE. Moreover, the panel results of domestic capital (DS) and inflation rate (INF) confirmed the causal association with EG. Finally, the panel results of DS revealed a causality with FDI. Based on the above results, some policy guidelines are proposed.

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The focus of this exploration was to examine the linkage between trade openness and CO2 effusions in the developing eight (D8) countries. An unbalanced panel dataset spanning the period 1990 to 2016 was employed for the study's analysis. From the results, the studied panel was heterogeneous and cross-sectionally correlated. Also, all the series gained stationarity after first difference and were materially cointegrated in the long run. The elastic effects of the input variables on the output variable were explored through the DCCEMG estimator, with the support of the AMG and the CCEMG estimators. From the results, trade openness increased CO2 emanations in the D8. Also, economic growth, energy consumption, and financial development promoted CO2 secretions in the nations; however, foreign direct investments mitigated the excretion of CO2 in the countries. On the causal connections amid the series, there was a bidirectional causality between trade openness and CO2 emanations. Also, a one-way causal movement from energy consumption, foreign direct investments, and financial development to CO2 effluents was discovered. Based on the findings, it was recommended among others that effective trade policies that could enhance the transfer of cleaner technologies to the countries should be formulated.

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This study examined the predictors of carbon emissions in member countries of the North American Free Trade Agreement (NAFTA). Panel models robust to cross-sectional dependence and slope heterogeneity were used for the study. From the heterogeneity and cross-sectional dependence tests, the studied panel was heterogeneous and cross-sectionally dependent. Also, the unit root and cointegration tests established the series to be first differenced stationary and cointegrated in the long run. Additionally, results of the CCEMG regression estimator in the whole panel affirmed economic growth (GDP) to be a significantly positive predictor of CO2 emissions, while foreign direct investments (FDI) and population growth (POP) were trivial determinants of CO2 emissions. The discoveries were however diverse in the individual countries. Finally, there was no causality between GDP and CO2 emissions and between POP and CO2 emissions. However, there was a one-way causality from CO2 emissions to FDI. Policy recommendations are further discussed.

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Sub-Saharan Africa (SSA) is considered the most vulnerable to challenges emanating from climate changes. A number of factors notably accelerated changes in growth influence SSA environment. Linking financial sector within growth and environmental outcomes has been the focus of policy makers and researchers. This study investigated the dynamic relationships between credit supply, economic growth, and the environment from the perspectives of the four sub-regional economies (Central, East, Southern, and West African regions) in SSA over the period 1990-2018. In addition, the study tested Environmental Kuznets Curve hypothesis across sub-regions. We employed panel vector autoregressive (panel VAR) model in a generalized method of moment framework to investigate the topic. The panel VAR results revealed that (i) economic growth negatively influence on carbon emissions of Central African countries but not in the East, Southern and West African sub-regions, (ii) credit supply had significantly positive influence on carbon emissions and economic growth of Central and East African sub-regions but negative influence on carbon emissions and economic growth West African sub-regions in SSA, and (iii) carbon emissions had significantly negatively influence on credit supply of East and West African sub-regions. The granger causality results revealed bidirectional causal links between credit supply and carbon emissions, economic growth, and credit supply in the Central and East African sub-regions, while most of the relationships were unidirectional. The impulse response function revealed that the impact of one variable on another vary throughout the periods and across sub-regions. Similarly, the elasticity of the variables to each other varies across sub-regions over the period studied. EKC hypothesis was validated in East African sub-region but was rejected in Central (u-shape relationship), Southern, and West African sub-regional economies indicating variations in growth and environmental outcomes among the sub-regional economies. Specific sub-regional policy recommendations are discussed.

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BACKGROUND: This paper aims to investigate the effects of corporate governance mechanisms on the financial performance of hospitals. The statement, "good corporate governance" has been incorporated in the health care sector over the last decade, as an element to improve financial performance. METHODS: The researchers relied on both primary and secondary data in the study. For the primary data, the authors used structured and nonstructured questionnaires to obtain data from 125 hospitals. The secondary data used emanated from board meetings, financial statements and relevant reports of the selected hospitals from 2010 to 2017. However, the data was then sorted out to get the required information on Chief Executive Officer (CEO) presence, board relationship, governance dynamics, gender diversity and financial performance. RESULTS: On the basis of empirical evidence provided in this study, the results show that the Independent Directors (INDPDR) variable has a positive effect on Return on Assets and Net Profit Margin and also a high statistically significant value of 0.000 for both performance measures. This is an indication that the variable, INDPDR, is highly capable of improving hospital financial performance. From our studies, Board Size and CEO Duality exhibited a negative relationship with the financial performance measures. CONCLUSIONS: Every hospital needs money to maintain a standard health facility and to sustain in operation. However, the inclusion of board of directors improves hospital financial management and enhances performance. Corporate governance mechanisms influence the behavior of health systems in ways that are associated with financial performance.

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The availability of sufficient and trustworthy energy services at the reasonable cost in a securely and environmentally friendly manner, and conventionality with economic and social development requirements, is an important factor of sustainable development (SD). Energy plays a significant role in eliminating poverty and increasing living standards. However, most of the present energy forms of energy supply and consumption are unsustainable. This paper analyzes the association between economic growth (EG), energy consumption (EC), and sustainable development (SD) among other economic factors. The sample of 14 developed and developing member states of the Union for the Mediterranean (UFM) was selected. To deal with the endogeneity issue, the system- generalized method of moment (GMM) model was employed. Moreover, panel co-integration, Granger causality tests, and robustness tests were employed to examine the long-run and short-run causality among variables of interest. The results confirmed the short-run dynamic association from sustainable development (SD) to energy consumption (EC), and economic growth (EG) to sustainable development (SD). Moreover, the results validated the presence of long-run equilibrium association in the equations of EC and sustainable development (SD). The findings of this study will be supportive for the policymakers to formulate sustainable energy policies to stimulate the economic growth (EG) in the way of sustainable development (SD) in the UFM countries.

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This study examined the nexus between carbon emissions, renewable energy consumption, and the economic growth of West African countries for the period 1990 to 2018. To be able to uncover reliable and valid findings, more robust panel estimation methods were employed for the study. From the heterogeneity and cross-sectional dependence tests, the study's panels were heterogeneous and cross-sectionally dependent. Also, all the series were non-stationary at levels, but gained stationarity after first difference. Further, the Fisher test and the Westerlund and Edgerton bootstrap test found the variables to be cointegrated in the long run. The CCEMG and the DCCEMG estimators were used to explore the long-run equilibrium relationship amid the series, and from the results of the whole sample, CO2 emissions and renewable energy consumption (REC) had no vital influence on economic growth (GDP) in both estimators. However, the results were a bit different in the sub-panels. Also from the whole sample, control variables urbanization (URB) and population growth (POP) had no material effect on GDP in both estimators. The results were, however, dissimilar in the sub-panels. Finally, the Dumitrescu-Hurlin test was employed to examine the causalities amid the series, and the results were diverse in the various panels. Policy recommendations are further discussed.

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BACKGROUND: The research aims to study the impact of corporate governance on hospital performance regarding HIV and malaria control, using the Ghana health industry as a case. The nation is making frantic effort to control HIV and malaria, since they continue to be among the deadliest diseases that attract holistic attention; hence, there is the need to put structures in place to curb the spread. METHODS: A total of 1005 precoded questionnaires were administered to 125 hospitals, for responses from staff, managers, board, and chief executive officers (CEOs). The collated data were analysed using structural equation modelling approach. RESULTS: Our research revealed that corporate governance has a positive effect on hospital performance, regarding the control of the two deadly diseases (HIV and malaria). The interventions in Ghana health delivery have brought a level of improvement in malaria control, since the disease mortality has significantly declined from 19% in 2010 to 4% in 2016. Through the implementation of systems and policies, the national HIV prevalence has admirably reduced from 2.9% in 2000 to 1.6% in 2017. CONCLUSIONS: Hospitals are therefore encouraged to continue to implement effective corporate governance mechanisms to facilitate efficient, well-organised, and prudent practices that can deliver more institutional performance in HIV and malaria control.

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This study analyzes the core energy consumption among countries' specific variables by Environmental Kuznets Curve hypothesis (EKC), for a panel data of 29 (14 developed and 15 developing) countries during the period of 1977-2014. By assessing Generalized Method of Moments (GMM) regressions with first generation tests such as common root, individual Augmented Dickey-Fuller (ADF), and individual root-Fisher-PP which have been computed individually, the results confirm the EKC hypothesis in the case of emissions of solid, liquid, gases, manufacturing industries and also construction. Hence, we computed the cointegration test by Pedroni Kao from Engle-Granger based and Fisher. Since the variables are co-integrated, a panel vector error correction model is estimated in GDP per capita, emission from manufacturing industries, arms import, commercial service export, and coal rent, in order to perform Pairwise Granger Causality test and indicate Vector Error Correction (VEC), with co-integration restrictions. Moreover, the statistical finding from VEC short-run unidirectional causality from GDP per capita growth to manufacturing industries and coal rent, as well as the causal link with manufacturing industries and commercial service export. Additionally, there occurred no causal link among economic growth, arm import and coal rent.

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Internal controls are critical to guarding an institution against fraud, error, and devastation. They are effective tools for preventing losses and achieving organizational goals. However, internal control mechanisms need to be relevant, because the organization cannot comprehend the effectiveness of the system if they are out-of-touch with the operation. Health care control practices are not exceptionally different from what pertains in other industries. The health care organizations require effective corporate governance mechanisms to uphold their operations and performances. These practices assist health care organizations to exhume cynical practices that generate unproductive results and also factors militating against the hospital's goals or objectives. This study revealed that practices such as enhanced Board diligence, Health Professionals on board, financial prudence, and effective communication have the tendency of reducing mortality, if well executed.

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This paper examines the relationships between natural resource dependence, public education investment, and human capital accumulation. It addresses why the "blessing" of abundant natural resources often turns into a "curse" in many countries and regions, focusing on the crowding-out effect of natural resources on human capital. According to our empirical analysis of provincial panel data from China, natural resource dependence is significantly and negatively correlated with human capital accumulation. The crowding-out effect of natural resources on human capital exists only in the central and western regions of China. Our introduction of an interaction term for natural resource dependence and public education investment underscores the possibility of investing in public education to reduce the crowding-out effect of natural resource dependence on human capital. The government should utilize the income of the natural resource sector to increase investment in education to enhance local human capital.