Fully Modified Ordinary Least Squares Research Articles

Public investment on renewable energy R&D Projects: The role of geopolitical risk, and economic and political uncertainties

Recently, there has been growing concern about the impacts of geopolitical tension as well as economic and political uncertainties on the decision-making process of governments when it comes to allocating resources for renewable energy R&D. This paper employs the panel autoregressive distributed lag (ARDL), cross-sectional panel autoregressive distributed lag (CS-ARDL) and Fully Modified Ordinary Least Squares (FMOLS) technique to examine the impacts of geopolitical risk, economic and political uncertainties, renewable energy technologies innovations, government financial affordability and CO2 emissions on government spending on renewable energy research and development projects. The novel aspects of the panel ARDL and CS-ARDL methodologies lie in their ability to capture both short-run and long-run dynamics within a panel data framework, as well as their ability to provide a more comprehensive understanding of the relationships under investigation. The empirical results presented in this paper indicate that in the face of ongoing geopolitical tension, as well as economic and political uncertainties, financially capable governments continue to increase their investments in renewable energy R&D in the long run. This strategic move aims to safeguard the supply of renewable energy, uphold economic and political policy credibility, maintain a first-mover advantage, and establish control over the intellectual property rights associated with renewable energy technology.

Does Mobile Technology Help to Deepen Financial Inclusion? Evidence from South Africa

ABSTRACT Despite the huge penetration of mobile telephone in South Africa, the country lags its peers (upper middle-income economies) on some financial inclusion metrics such as bank account access and the usage of financial products. Thus, the study investigates the impact of mobile technology on financial inclusion in South Africa over the period 1980–2021, while also looking at the transmission channels. The study adopts a battery of econometric techniques such as the ordinary Least Square (OLS) technique, the fully modified OLS (FMOLS), and the Dynamic OLS (DOLS). The study finds that mobile technology does not help to deepen financial inclusion (when financial inclusion is measured by the number of commercial bank branches per 100, 000 adults). While mobile technology deepens financial inclusion (when measured by volume of credit by the financial sector/GDP). This implies that expanding the digital economy may help to deepen access to credit in South Africa. However, the results also indicate that the effect of mobile technology on financial inclusion may not be direct but through investment in education to improve the citizens’ capability and preparedness to cope with innovative technologies. The research and policy implications are discussed.

Natural resources and economic growth: Examining the role of globalization, financial development, and digitalization in India

Natural resources are considered vital for economic growth, laying the foundations for various industries. Therefore, the present study aims to examine the importance of natural resources, globalization, financial development, and digitalization in India's economic performance from 1970 to 2020. The study utilizes the Auto-regressive distributed lag (ARDL) techniques with structural breaks and the Granger causality test to detect the direction of causality. Further, Fully Modified Ordinary Least Square (FMOLS) and Dynamic Ordinary Least Square (DOLS) were used to check the robustness of the long-run coefficients. The finding supports the “Resource curse hypothesis” in India. Globalization and financial development drive the long-run growth performance. In the short run, digitalization and globalization enhance growth performance. The Granger causality result unfolds a bidirectional causal relationship between economic growth and digitalization and unidirectional causation from financial development and globalization to economic growth. The study's outcomes have notable policy implications that emphasize the need to induce financial development, integrate digital technology into core sectors of the economy, and encourage market openness and efficient utilization and management of natural resources for sustainable economic growth.

Road map from dirty growth to sustainable green growth in Turkiye: Management of trade and financial processes?

This study examines how business, financial, monetary, and trade freedom influence Turkiye's green growth from 1995 to 2022, utilizing the ARDL approach to cointegration. Our results confirm the long-term cointegration among the variables. Robustness tests, such as Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS), consistently show that business and trade freedom hinder Turkiye's green growth. Financial freedom and monetary freedom consistently foster it. Business freedom and heightened trade freedom lead to increased fossil fuel consumption, whereas monetary freedom stabilizes Turkiye's currency, and financial freedom promotes entrepreneurship. Enhancing eco-friendly energy sources and investing in green technologies are crucial for promoting sustainable growth, reducing production costs, fostering entrepreneurship, and encouraging competition. The fact that the impact of these variables on green growth in Turkiye has not been studied before makes the study's findings novel.

The governance factor: Mitigating carbon emissions through FDI and financial development in emerging Asian economies

This study investigates the influence of foreign direct investment (FDI), financial development (FD), and governance on carbon emissions in 15 emerging Asian economies (EAEs) from 2000 to 2021. It aims to assess how successful these nations have been in upholding ecological sustainability while promoting themselves as alternative manufacturing destinations to China and fostering domestic manufacturing through significant financial development. It creates a composite governance quality (GQ) measure and three subdimensions—EcoGov, InstGov, and PolGov—to assess its precise role in influencing the FDI–carbon dioxide (CO2) and FD–CO2 nexuses. Using fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) panel cointegration techniques, this study yielded findings revealing that FDI and FD significantly enhance carbon emissions. The overall GQ significantly moderates the FD–CO2 nexus but fails to moderate FDI's detrimental environmental influence. More specifically, EcoGov significantly moderates FDI's and FD's influence on carbon emissions, whereas InstGov significantly enhances their influence on emissions. In contrast, PolGov is only found to moderate FD's impact on environmental quality since the Government frequently endorses liberal environmental regulations to facilitate FDI-led growth. The findings from this study are robust and carry distinct policy ramifications.

The Longitudinal Relationship Between Tourism, Electricity Consumption, and CO2 Emissions

The objective of the study is to determine the electricity use, and tourism industry environmental impacts, and increase in CO2 emissions in Pakistan. What are the linkages of foreign direct investment, intercountryal trade, gross domestict product, and CO2 emissions. The study has applied the Autoregressive distributed lag (ARDL) method to analysis the data set from 1985 to 2023. The robustness test is applied using Dynamic Ordinary Least Square (DOLS), and Fully modified ordinary least squares (FMOLS). The results reveal that the increase in the electricity use, and tourism industry has significant negative impacts on CO2 emissions in both short- and long-run. The increase in intercountry trade effects the Domestic Product growth (GDP) growth and causes to increase in use of fossil fuels, which are the major source of CO2 emissions. The increase in foreign direct investment (FDI) increase the GDP growth, and FDI also increase the CO2 emissions in Pakistan. The results suggests that the incresae in the renewal energy consumption for the electricity production and transportation can help to decrease the CO2 emissions in Pakistan.

Synergy for climate actions in G7 countries: Unraveling the role of environmental policy stringency between technological innovation and CO2 emission interplay with DOLS, FMOLS and MMQR approaches

The significant and indestructible repercussions of global warming have an enormous effect on economies worldwide. Inevitably the preservation of the environment remains a crucial element in the pursuit of sustainable development goals. The primary aim of this study is to assess the moderating effect of environmental policy stringency (EPS) between technological innovation (INV) and CO2 emission and direct association between financial development (FD), and financial globalization (FG) and environmental quality among the G7 countries. This analysis is conducted using a dataset covering the time period from 1990 to 2020, employing the Dynamic Ordinary least Square (DOLS), Fully Modified Ordinary Least Square (FMOLS), Canonical Cointegration Regression (CCR), and Method of Moment Quantile Regression (MMQR) estimation approaches. The results of DOLS, FMOLS, & CCR indicates that INV*EPS increase environmental quality by −0.21168, −0.21257 and −0.21255, respectively. Further, the outcomes of MMQR demonstrate that combine effect of INV & EPS contributes −0.2003 to −0.2264 across all quantiles from 20th to 80th. This indicates that technological innovation leads to enhanced environmental quality by mitigating CO2 emissions and implementation of more stringent environmental rules enhance the positive effects of green technologies by employing eco-friendly technologies to achieve carbon neutrality target. In order to effectively attain sustainable development goals, the study suggests that in economies that exhibit a higher degree of innovation, strong financial system, the adoption and implementation of environmentally sustainable technologies have a significant influence on the mitigation of CO2 emissions and the enhancement of environmental conditions. The study findings suggest few polices to policymakers: enhancing the green finance structure and strengthening the design of environmental regulations to promote green innovation. Research and development (R&D) activities have the potential to significantly contribute to the reduction of CO2 emissions through the effective application of scale effects and the implementation of efficient marketing tactics.

Towards sustainable initiatives: Evidence from green finance mitigating ecological footprint in East Asia and Pacific nations

Green finance serves as a bridge between development and ecological sustainability. It provides a roadmap for countries to accomplish sustainable development goals by simultaneously curbing their ecological footprint. Green financing prioritizes eco-friendly technologies, sustainable behaviors, renewable energy, and green infrastructure, promoting positive changes. This study examines the role of green finance on the ecological footprint of 11 East Asian and Pacific countries from 2000 to 2023. This study uses different diagnostic tests to prove the existence of cross-sectional dependency, non-normality, and slope heterogeneity. The coefficients are estimated using the fully modified ordinary least squares (FMOLS) approach and panel quantile regression at different quantiles. The results show the validity of an inverted U-shaped relationship between green finance and the ecological footprint. Further analysis explores that at the middle quantile, all selected countries except Mongolia and the Philippines, while the FMOLS approach shows that all countries’ green finance reduces their ecological footprint. Additionally, globalization reduces the ecological footprint, while economic growth, industrialization, and urbanization increase the ecological footprint. This study recommends that to fight against climate change, the selected countries should focus more on green finance. Financial institutions should provide funds only for environment-friendly technologies.

Tourism development and carbon emissions in sub-Saharan African countries: is there an inverted U-shaped relationship?

ABSTRACT In this study, we examine the existence of an inverted U-shaped relationship between tourism and carbon emissions in 29 sub-Saharan African (SSA) countries using data from 1995 to 2019. Departing from the previous studies, we have also grouped SSA countries into low- and middleincome countries, thereby estimating three panels. We have used a wide range of panel estimation techniques to examine this linkage, including the dynamic common-correlated effects (DCCE), the Driscoll-Kraay estimators, and the fully-modified OLS (FMOLS). Our results show that the relationship between tourism and carbon emissions depends largely on the estimation technique used and the level of income of the individual countries. Overall, we can conclude that there is primafacie evidence of an inverted U-shaped relationship between tourism and carbon emissions in middle-income countries and all SSA countries combined, but not in low-income countries. This means that the perceived adverse effects of tourism expansion on environmental pollution may only be experienced in the early stages of tourism development and that as the tourism sector develops, tourism is likely to promote energy conservation through sustainable tourism or green tourism, thereby leading to a reduction in carbon emissions. Policy implications are discussed.

Does industry 4.0 and environmental quality asymmetrically affect South Africa’s manufacturing sector? A fresh insight from nonlinear autoregressive distributed lag (NARDL) model

Owing to recent developments and implications inspired by fourth industrial revolution (4IR) technologies in the global manufacturing sector through the Industry 4.0 (I4.0) concept, this study was conducted to discover the impacts of I4.0 and environmental quality on the South African manufacturing sector, considering governance quality. To the best of our knowledge, no study has analysed the long-run and short impacts of I4.0, environmental quality and governance quality on the South African manufacturing sector integrating the bound test cointegration, Fully-Modified Ordinary Least Squares (FMOLS) & Dynamic Ordinary Least Squares (DOLS) and nonlinear autoregressive distributed lag (NARDL) estimations techniques. Therefore, this study attempts to bridge this gap using different econometric approaches. The data used spans from 2000Q1 to 2020Q4. The principal component analysis was used to create Industry 4.0 (I4.0) and governance quality components. In this study, utilising the dynamic NARDL, it is seen that the LCO2, representing environmental quality, possesses positive and significant relationship with the LMVA, but when in interaction with the governance quality variables (GOV, INS, POL & ECO), there exists a positive and insignificant relationship with the LMVA showing there exists a dearth of green innovative technologies in the South Africa manufacturing sector respective of its significance. Utilising the FMOLS and DOLS, the GOV, INS, POL & ECO which represents governance quality, mostly possesses negative but significant relationships with the LMVA, even when in interaction with the I4.0 variable proving the I4.0 technologies have not yet started to be impactful to the South African manufacturing industry at large.

Effect of Exchange Rate on Foreign Direct Investment in Nigeria

This study investigates the relationship between exchange rates and Foreign Direct Investment (FDI) in Nigeria from 1981 to 2021. Employing a Fully Modified Ordinary Least Squares (FMOLS) regression analysis, the study reveals a significant positive correlation between exchange rates and FDI. Conversely, the study finds a positive but statistically insignificant association between trade openness and FDI. Finding on interest rates (INTR coefficient: -0.104) indicates a negative relationship with FDI, lacking statistical significance. Similarly, inflation rates (INFR coefficient: 0.012) exhibit a positive yet statistically insignificant link with FDI. Notably, the study highlights a substantial and statistically significant negative relationship between human capital (HC coefficient: -77.787) and FDI, signifying the importance of human capital development in attracting foreign investment. In summary, the research findings indicate a substantial impact of exchange rates on FDI in Nigeria. It suggests that policymakers should proceed with caution to avert possible depreciation of the exchange rate, which could deter foreign investors. Furthermore, adopting a comprehensive strategy for macroeconomic stability could foster a more conducive atmosphere for foreign investment.

Examination of Banks' Performance and Intellectual Capital in Cambodia: Utilizing FMOLS and DOLS Methods

In order to address the potential presence of serial correlation and heteroscedasticity in static panel data models such as Pooled Ordinary Least Square (Pooled OLS), Fixed Effect (FE), and Random Effect (RE) models, the study employed Panel Fully Modified Ordinary Least Squares (FMOLS) and Panel Dynamic Ordinary Least Squares (DOLS) methodologies to evaluate the influence of value-added capital and its specific components - human capital, structural capital, and capital employed - on the performance of banks in Cambodia. The results of the research revealed that intellectual capital significantly impacted the return on assets in a positive manner. Specifically, human capital and capital employed were recognized as crucial elements in determining this connection. Both the FMOLS and DOLS estimation techniques produced reliable outcomes, showing positive slope coefficients that were deemed statistically significant at the 1% level. Conversely, the impact of structural capital on bank performance produced diverse results. While the determined slope was considered extremely significant at the 1% level through the FMOLS technique, the findings were inconclusive. More precisely, the projected coefficient showed a positive value when applying the FMOLS approach, but displayed a negative value when using the DOLS method.

Building Resilience for Transformational Recovery: An Analysis of Monetary Policy and Economic Growth in West Africa before and Following the COVID-19 Periods

This study investigates the effectiveness of monetary policy in the pre and post COVID-19 periods in West Africa. The panel fully modified ordinary least squares (FMOLS) was used. Before the estimation, the correlation analysis and summary statistics were done. Unit root test was carried out to ascertain whether the data series are stationary or not and the panel cointegration test was used to determine the existence of long run relationship among the variables. The findings indicate that monetary policy has 12.3% negative and significant effects on economic growth in the periods before COVID-19, while it has insignificant effect after the pandemic. Furthermore, monetary policy has 21.01% negative and significance effects on inflation in the pre COVID-19 era, while it has 52.5% negative and significant effect on inflation after the pandemic. This indicates that the effectiveness of the central bank’s efforts to affect and control inflation has declined after COVID-19. Causes for this could include the pandemic’s effect on supply chains, demand, and the weaker economic environment. On this basis, the monetary authority should create an economic environment that will play a crucial role in determining the effectiveness of monetary policy in the post-COVID-19 periods to foster economic recovery.

The impact of taxation, technological innovation and trade openness on renewable energy investment: Evidence from the top renewable energy producing countries

In the context of contemporary global warming, transitioning from traditional fossil energy to renewable energy sources emerges as a crucial strategy to reduce carbon emissions and achieve the 7th sustainable development goal (SDG). Tax policy significantly shapes the investment landscape, influencing all factors concerning the transition to renewable energy, such as technological innovation and trade openness. However, no empirical studies have examined the direct and moderating role of taxation on renewable energy investment, mainly due to the scarcity of tax data. Therefore, this paper utilizes the recently released Government Revenue Dataset (2023) to explore the complex link between taxation, technological innovation, trade openness, and renewable energy investment for a sample of the top 37 renewable energy-producing countries during the period (1996-2021). The results of the cross-section ARDL (CS-ARDL) and the pooled mean group ARDL (PMG-ARDL) models indicate that taxation has a negative and significant influence on renewable energy investment across all model specifications, both in the short and long run. Conversely, innovation and trade openness exhibit a positive and significant influence on clean energy investment. Regarding the moderating influence of taxation, the results revealed that tax revenues depress the positive impact exerted by technological innovation and international trade. Furthermore, the fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models affirm the robustness of the long-run results obtained from CS-ARDL and PMG-ARDL models. The study's findings offer significant insights into how countries engaged in renewable energy production can enhance their taxation framework to leverage trade and innovation to promote renewable energy investment.

The driving forces behind renewable energy consumption: A comprehensive analysis of key determinants and environmental concerns in ASEAN countries.

Renewable energy consumption is a crucial solution to addressing pressing environmental issues, particularly climate change and air pollution. Investigating the factors that drive its adoption is highly significant, as it provides policymakers and stakeholders with valuable insights to accelerate the transition to renewable energy sources. Through this approach, we can minimise the negative consequences of our reliance on fossil fuels, thereby protecting the integrity of the environment. Therefore, the primary goal of this study is to thoroughly investigate the main factors that influence renewable energy consumption and environmental change in six specifically chosen ASEAN countries. The stationarity of the 1990-2019 data was tested using panel data techniques such as Levin, Lin, and Chu (LLC), Im Pesaran (IPS), and the Shin W-stat test. According to the stationarity tests, after the first order, all variables exhibit stationarity. Additionally, Pedroni's co-integration test result confirmed that there was a long-term relationship among the variables. Different methods, such as dynamic ordinary least squares (DOLS), fully modified ordinary least squares (FMOLS), and pooled ordinary least squares (POLS), are used for cointegration estimating. The results suggest that there is a positive co-integration between renewable energy use and GDP in six ASEAN countries, indicating a long-term relationship. The positive relationship between GDP and renewable energy use suggests that economic growth is the primary driving force behind ASEAN's renewable energy adoption. However, factors like carbon emissions, population density, and foreign direct investment (FDI) negatively impact the demand for renewable energy. The limited availability of renewable energy in certain ASEAN countries may discourage foreign direct investment (FDI) due to the inverse relationship between FDI and renewable energy use. The studies also revealed that carbon emissions, which contribute to environmental pollution, do not motivate industries to invest in renewable energy. This finding would challenge the Environmental Kuznets Curve (EKC) hypothesis. According to the EKC, there is a significant transition towards renewable energy as a response to environmental degradation. However, it is worth noting that several ASEAN countries have experienced economic growth while also experiencing higher levels of carbon emissions. Given that economic expansion might not be environmentally beneficial, this research has implications for ASEAN energy policies. The ASEAN region faces a challenge in investing in renewable energy due to the excessive dependence on fossil fuels. Therefore, an in-depth evaluation of the main factor behind ASEAN's environmental concerns, which promotes the adoption of renewable energy, can greatly influence policy decisions, particularly in attaining net zero emissions. Policymakers can utilise this comprehensive analysis to establish informed objectives for policies related to renewable energy and develop strategic plans, i.e. reforming fuel subsidies. The goal is to encourage the development of environmentally friendly and sustainable energy plans for the future in the ASEAN region.

Implications of an Aging Population on Government Expenditure in Malaysia

This study investigates the implications of an aging population on government spending in Malaysia using the Fully Modified Ordinary Least Squares (FMOLS) method. Employing data spanning from 1992 to 2022, the study examines the relationship between the dependent variable, Government Expenditure, and the independent variable, Aging Population, while controlling for Gross Domestic Product and Unemployment as additional factors. The results reveal a positive connection between the aging population and government expenditure. As Malaysia experiences demographic shifts characterized by increased life expectancy and declining fertility rates, the findings suggest that addressing the needs of an aging population contributes to higher government spending. This study underscores the importance of recognizing and addressing the fiscal implications of demographic changes, providing valuable insights for policymakers in formulating strategies to navigate the challenges posed by an aging society in Malaysia.

The Impact of Economic Growth on the Ecological Environment and Renewable Energy Production: Evidence from Azerbaijan and Hungary

This article reflects on the necessity of employing renewable energy sources in the modern era to mitigate the negative environmental impact caused by traditional energy sources and address environmental pollution. Through research conducted in Azerbaijan and Hungary, it analyses the influence of economic growth on the ecological environment and renewable energy production. Due to limitations in the general dataset, the study considers the period of 1997–2022 for CO2 emissions causing environmental pollution, 2007–2022 for renewable energy production in Azerbaijan, and 2000–2021 for the same in Hungary. Information regarding wind and solar energy in Azerbaijan has been available since 2013. Temporal sequences have been utilised in the research, employing Augmented Dickey–Fuller and Phillips–Perron (PP) unit root tests to examine the stationarity of the time series. An Autoregressive Distributed Lag (ARDL) model has been constructed, and the credibility of the model has been verified using Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegrating Regression (CCR) models. The findings reveal that in Azerbaijan, the long-term impact of economic growth on hydro-energy has been negative, while dependence on biomass and waste has been insignificant but positive. The influence on wind and solar energy production has also been negative and insignificant, akin to hydro-energy production. However, energy supply from renewable sources has been positively affected by the aggregate indicator of economic growth, albeit insignificantly. The impact of economic growth on carbon dioxide has been significant in two magnitudes, whereas in other cases, it has been insignificant but positive. In Hungary, economic growth has positively affected renewable energy production. However, the impact on carbon dioxide has been negative, meaning that this indicator has decreased as economic growth has increased. The study concludes that the impact of economic growth on indicators of both countries has been more effective in Hungary, which can be attributed to economic development.

Does higher education matter in mitigating chronic disease Mortality? evidence from MENA countries with consideration of Globalization, economic Growth, and environmental pollution

This study investigates the relationship between higher education and mortality rates from chronic and fatal diseases in MENA countries from 2000 to 2020. Utilizing a robust panel econometric framework with Generalized Least Square, Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS), we analyze empirical data while controlling for globalization, CO2 emissions, and GDP per capita. Our findings reveal a significant negative correlation between education and mortality rates, paralleled by similar trends for globalization and GDP per capita. Conversely, CO2 emissions are found to increase mortality rates, highlighting the detrimental impact of environmental degradation on public health. This underscores the pivotal role of education, globalization, and economic development in reducing mortality rates associated with chronic and fatal diseases. The study advocates for increased investments in education and healthcare infrastructure to address disparities and enhance public health outcomes, alongside promoting responsible globalization practices to further improve health metrics.

Does higher education lead to lower environmental pollution? New evidence from MENA countries using econometric panel data

Recognizing the critical significance of environmental preservation, this paper investigates the intricate relationship between higher education and environmental pollution in MENA countries from 2000 to 2018. The analysis incorporates three control variables: the globalization index, population, and gross domestic product (GDP). Employing a comprehensive methodology that includes panel unit root tests, Kao cointegration test, fixed effect GLS, fully modified ordinary least squares (FMOLS), and dynamic ordinary least squares (DOLS). As main results, we first found using GLS that higher education, globalization, and GDP per capita positively impact CO2 emissions in the MENA region. Subsequently, using FMOLS and DOLS, we found that except for GDP per capita, all other variables play a key role in mitigating CO2 emissions in the long run, thus validating the KURZNETS curve hypothesis for education and challenging it for economic growth in the MENA countries. Given the existing results, this study provides significant recommendations for policymakers and governments to reduce CO2 emissions.

Nexus of Human Development and Environmental Quality in Low-Income and Developing Countries: Do Renewable Energy and Good Governance Matter?

The relationship between human development and environmental quality has been explored in this study by examining the human-development status and carbon (CO2)-emissions levels of 60 countries from the low, lower-middle, and upper-middle income categories. The roles of renewable energy and some economic and institutional factors such as GDP, the rule of law, regulatory quality, and corruption control have also been investigated to ascertain their impacts on the relationship. The empirical investigations apply the generalized method of moments (GMM), fixed effects (FE), and random effects (RE) methods, and the long-run associations among the variables are investigated by applying the fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) techniques. The robust findings support the trade-off relationship between human development and environmental quality in the selected low-income and developing countries. With evidence of an environmental Kuznets’s relationship between economic growth and environmental quality, these findings reveal that the measures pursued to improve human-development status have a contributory impact on CO2 emissions in the selected countries. However, an increased demand for renewable energy, effective enforcement of the rule of law, and improved control over corruption have a mitigating effect on CO2 emissions. The result has also highlighted the policy issues instrumental to increased emissions levels in these countries. Consequently, it is recommended to formulate policies for resolving disparities within the various dimensions of human development while also making deliberate investments in the socio-economic aspects of human development to ensure both sustainable human development and environmental quality.