Displaying publications 1 - 20 of 38 in total

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  1. de Souza AC, Sebastian IA, Zaidi WAW, Nasreldein A, Bazadona D, Amaya P, et al.
    Int J Stroke, 2022 10;17(9):990-996.
    PMID: 35137645 DOI: 10.1177/17474930221082446
    BACKGROUND: Major disparities have been reported in recombinant tissue plasminogen activator (rtPA) availability among countries of different socioeconomic status.

    AIMS: To characterize variability of rtPA price, its availability, and its association with and impact on each country's health expenditure (HE) resources.

    METHODS: We conducted a global survey to obtain information on rtPA price (50 mg vial, 2020 US Dollars) and availability. Country-specific data, including low, lower middle (LMIC), upper middle (UMIC), and high-income country (HIC) classifications, and gross domestic product (GDP) and HE, both nominally and adjusted for purchasing power parity (PPP), were obtained from World Bank Open Data. To assess the impact of rtPA cost, we computed the rtPA price as percentage of per capita GDP and HE and examined its association with the country income classification.

    RESULTS: rtPA is approved and available in 109 countries. We received surveys from 59 countries: 27 (46%) HIC, 20 (34%) UMIC, and 12 (20%) LMIC. Although HIC have significantly higher per capita GDP and HE compared to UMIC and LMIC (p < 0.0001), the median price of rtPA is non-significantly higher in LMICs (USD 755, interquartile range, IQR (575-1300)) compared to UMICs (USD 544, IQR (400-815)) and HICs (USD 600, IQR (526-1000)). In LMIC, rtPA cost accounts for 217.4% (IQR, 27.1-340.6%) of PPP-adjusted per capita HE, compared to 17.6% (IQR (11.2-28.7%), p < 0.0001) for HICs.

    CONCLUSION: We documented significant variability in rtPA availability and price among countries. Relative costs are higher in lower income countries, exceeding the available HE. Concerted efforts to improve rtPA affordability in low-income settings are necessary.

    Matched MeSH terms: Gross Domestic Product
  2. Sun X, Shi Q
    Environ Sci Pollut Res Int, 2022 Feb;29(8):11574-11589.
    PMID: 34536227 DOI: 10.1007/s11356-021-16457-y
    Against the backdrop of current global collaboration on mitigating carbon emissions, how to reduce the energy uses in the Belt and Road Initiative area becomes an urgent and big challenge facing the global community. Using the Eora input-output database, this paper accounts the embodied energy trade between Belt and Road countries in 2015, followed by an investigation of the factors influencing the embodied energy trade through a panel gravity model. Global value chain participation and position are two newly considered factors in analyzing the determinants of embodied energy flow. We find that the main bilateral embodied flow paths are from South Korea to China, China to South Korea, Singapore to China, Ukraine to Russia, and Malaysia to Singapore. Five percent embodied energy flow paths account for 80% of the total bilateral embodied energy flow volume between Belt and Road countries. The gravity model results indicate that gross domestic product (GDP) per capita, population, global value chain participation are the key drivers of bilateral embodied energy trade, while the industrial share of GDP and global value chain position are negatively related to the trade. Energy intensity plays a crucial role in reducing the bilateral embodied energy flow. These results are useful in the policymaking of sustainable development for the Belt and Road Initiative.
    Matched MeSH terms: Gross Domestic Product
  3. Alsaleh M, Abdul-Rahim AS, Abdulwakil MM
    J Environ Manage, 2021 Sep 15;294:112960.
    PMID: 34116310 DOI: 10.1016/j.jenvman.2021.112960
    This study examined the impact of worldwide governance indicators on the sustainability of the bioenergy industry in selected European countries for the period 1996-2018. Applying the Fixed Effect (FE) Model, the results reveal that the bioenergy industry can significantly grow by improving the quality of worldwide governance indicators in European countries, especially in Western European Countries (WEC). Government effectiveness, rule of law, regulatory quality, and voice and accountability are found to be increasing the growth of the bioenergy industry. Precisely, the results further show that the magnitude of the effect of government effectiveness, voice and accountability, and Gross Domestic Product (GDP) on bioenergy output is higher in Western European Countries (WEC) as compared to the Central and Eastern European Countries (CEEC). Also, the findings further elaborate that the significant positive impact of regulatory quality and rule of law on bioenergy output is higher in CEEC countries compared to the WEC countries. The finding implies that the growth of the bioenergy industry in European countries can be effectively increased by improving the practice and quality of worldwide governance indicators. The study recommends for European countries to increase the efficiency of worldwide governance in their bioenergy industry to increase the sustainability of bioenergy production and reduce Dioxide Carbon (CO2) emissions. Policymakers in these countries should also invest more in worldwide governance to increase its effectiveness and transparency in the bioenergy industry. The authorities should equally emphasize the effectiveness and transparency of worldwide governance indicators to attain bioenergy security and lessen the dependence on fossil fuels.
    Matched MeSH terms: Gross Domestic Product
  4. Zhang D, Hussain HI
    J Environ Manage, 2021 Nov 01;297:113360.
    PMID: 34346402 DOI: 10.1016/j.jenvman.2021.113360
    The triple components of energy consumption, carbon dioxide emissions, and economic expansion are important to achieving sustained economic activity and sound ecological advancement. This study aims to estimate the impact of wide-ranging parameters on environmental circumstances in South Asian countries. This analysis required two approaches: 1)quantile autoregressive distributed lag (QARDL) as an econometric model, and 2) data envelopment analysis (DEA) non-parametric comparable composite index to examine concurrently South Asian nations' data for the 2000-2018 period. The underscored category of the parameters were grouped into four key indices, namely financial, fiscal, human, and energy. The DEA's mathematical composite findings reveal varied circumstances regarding environmental self-maintenance in South Asian nations. India and Pakistan are doing quite well; Afghanistan is abysmal. In addition, the QARDL approach findings reveal that energy use and fiscal indicators abate pollution. Furthermore, the correlation between fiscal decentralization and ecological attributes is strengthened by the excellent level of institutions and human capital progress. There is a unidirectional impact emanating from fiscal devolution, gross domestic product, human capital, eco-innovation, and institutional excellence on carbon dioxide pollution, although different from the other correlations obtained.
    Matched MeSH terms: Gross Domestic Product
  5. Zhang Q, Abdullah AR, Chong CW, Ali MH
    Comput Intell Neurosci, 2022;2022:8235308.
    PMID: 35126503 DOI: 10.1155/2022/8235308
    Gross domestic product (GDP) is an important indicator for determining a country's or region's economic status and development level, and it is closely linked to inflation, unemployment, and economic growth rates. These basic indicators can comprehensively and effectively reflect a country's or region's future economic development. The center of radial basis function neural network and smoothing factor to take a uniform distribution of the random radial basis function artificial neural network will be the focus of this study. This stochastic learning method is a useful addition to the existing methods for determining the center and smoothing factors of radial basis function neural networks, and it can also help the network more efficiently train. GDP forecasting is aided by the genetic algorithm radial basis neural network, which allows the government to make timely and effective macrocontrol plans based on the forecast trend of GDP in the region. This study uses the genetic algorithm radial basis, neural network model, to make judgments on the relationships contained in this sequence and compare and analyze the prediction effect and generalization ability of the model to verify the applicability of the genetic algorithm radial basis, neural network model, based on the modeling of historical data, which may contain linear and nonlinear relationships by itself, so this study uses the genetic algorithm radial basis, neural network model, to make, compare, and analyze judgments on the relationships contained in this sequence.
    Matched MeSH terms: Gross Domestic Product
  6. Kang J, Peng R, Feng J, Wei J, Li Z, Huang F, et al.
    BMJ Open, 2023 Sep 06;13(9):e075030.
    PMID: 37673450 DOI: 10.1136/bmjopen-2023-075030
    OBJECTIVE: To evaluate the health systems efficiency in China and Association of Southeast Asian Nations (ASEAN) countries from 2015 to 2020.

    DESIGN: Health efficiency analysis using data envelopment analysis (DEA) and stochastic frontier approach analysis.

    SETTING: Health systems in China and ASEAN countries.

    METHODS: DEA-Malmquist model and SFA model were used to analyse the health system efficiency among China and ASEAN countries, and the Tobit regression model was employed to analyse the factors affecting the efficiency of health system among these countries.

    RESULTS: In 2020, the average technical efficiency, pure technical efficiency and scale efficiency of China and 10 ASEAN countries' health systems were 0.700, 1 and 0.701, respectively. The average total factor productivity (TFP) index of the health systems in 11 countries from 2015 to 2020 was 0.962, with a decrease of 1.4%, among which the average technical efficiency index was 1.016, and the average technical progress efficiency index was 0.947. In the past 6 years, the TFP index of the health system in Malaysia was higher than 1, while the TFP index of other countries was lower than 1. The cost efficiency among China and ASEAN countries was relatively high and stable. The per capita gross domestic product (current US$) and the urban population have significant effects on the efficiency of health systems.

    CONCLUSIONS: Health systems inefficiency is existing in China and the majority ASEAN countries. However, the lower/middle-income countries outperformed high-income countries. Technical efficiency is the key to improve the TFP of health systems. It is suggested that China and ASEAN countries should enhance scale efficiency, accelerate technological progress and strengthen regional health cooperation according to their respective situations.

    Matched MeSH terms: Gross Domestic Product
  7. Cui W, Yang Y, Dai J
    Environ Sci Pollut Res Int, 2023 Oct;30(50):109559-109570.
    PMID: 37775636 DOI: 10.1007/s11356-023-29907-6
    The present study empirically confabulates the authenticity of the "resource curse hypothesis" in selected emerging nations. Furthermore, we also assessed the interconnections of three essential economic indicators with financial development, i.e., human development, political stability, and gross domestic product. To effectuate these objectives, we used annual data for the time frame 1990 to 2020 and advanced panel estimation techniques for getting the empirical outcomes. The study's empirical outcomes illustrate the existence of the "resource curse hypothesis" in sample nations. In addition, human development index and gross domestic product play an essential part in the furtherance of financial development in the long-run. The human development index is upsurging the financial development. Furthermore, political stability is also exerting a favorable influence on financial development. A similar interconnection is observed in the short-time period; nonetheless, the amplitude of the short-run impacts is smaller if we have a look at the long-run impacts. The empirical analysis offers a few pertinent policy insights for policymakers to improve the situation in the selected sample. Note: Financial development positively interconnected with human development, GDP and political stability while negatively associated with natural resources, respectively.
    Matched MeSH terms: Gross Domestic Product
  8. Lu WC
    Environ Sci Pollut Res Int, 2017 Nov;24(33):26006-26015.
    PMID: 28942473 DOI: 10.1007/s11356-017-0259-9
    This article aims to investigate the relationship among renewable energy consumption, carbon dioxide (CO2) emissions, and GDP using panel data for 24 Asian countries between 1990 and 2012. Panel cross-sectional dependence tests and unit root test, which considers cross-sectional dependence across countries, are used to ensure that the empirical results are correct. Using the panel cointegration model, the vector error correction model, and the Granger causality test, this paper finds that a long-run equilibrium exists among renewable energy consumption, carbon emission, and GDP. CO2 emissions have a positive effect on renewable energy consumption in the Philippines, Pakistan, China, Iraq, Yemen, and Saudi Arabia. A 1% increase in GDP will increase renewable energy by 0.64%. Renewable energy is significantly determined by GDP in India, Sri Lanka, the Philippines, Thailand, Turkey, Malaysia, Jordan, United Arab Emirates, Saudi Arabia, and Mongolia. A unidirectional causality runs from GDP to CO2 emissions, and two bidirectional causal relationships were found between CO2 emissions and renewable energy consumption and between renewable energy consumption and GDP. The findings can assist governments in curbing pollution from air pollutants, execute energy conservation policy, and reduce unnecessary wastage of energy.
    Matched MeSH terms: Gross Domestic Product/trends; Gross Domestic Product/statistics & numerical data
  9. Ruiz Estrada MA, Yap SF, Park D
    Disasters, 2014 Jul;38 Suppl 2:S206-29.
    PMID: 24905816 DOI: 10.1111/disa.12069
    Natural hazards have a potentially large impact on economic growth, but measuring their economic impact is subject to a great deal of uncertainty. The central objective of this paper is to demonstrate a model--the natural disasters vulnerability evaluation (NDVE) model--that can be used to evaluate the impact of natural hazards on gross national product growth. The model is based on five basic indicators-natural hazards growth rates (αi), the national natural hazards vulnerability rate (ΩT), the natural disaster devastation magnitude rate (Π), the economic desgrowth rate (i.e. shrinkage of the economy) (δ), and the NHV surface. In addition, we apply the NDVE model to the north-east Japan earthquake and tsunami of March 2011 to evaluate its impact on the Japanese economy.
    Matched MeSH terms: Gross Domestic Product
  10. Azam M
    Heliyon, 2020 Dec;6(12):e05853.
    PMID: 33426342 DOI: 10.1016/j.heliyon.2020.e05853
    Undeniably, peace and long-term sustainable economic development are the prime agenda of all countries. This study aims to empirically evaluate the impact of military spending on economic growth for a panel of 35 non-OECD countries over 1988-2019. A multivariate regression model based on the augmented production function is used to achieve the objective of the study. The panel autoregressive distributed lag (ARDL)/pooled mean group (PMG) technique is employed, while, in addition the robust least squares and fixed-effect estimators are implemented for the robustness of the results. This study found a clear negative effect of military spending on economic growth. The pairwise Dumitrescu Hurlin panel causality test results exhibit bi-directional causality between military expenses and economic growth. Overall, these estimates provide strong support that military expenditure is not beneficial rather detrimental to economic growth. The empirical findings of this study suggest that policymakers need to redesign the military budget to stimulate economic growth and improve social welfare.
    Matched MeSH terms: Gross Domestic Product
  11. Sreeharan, Nadarajah
    Medical Health Reviews, 2009;2009(2):59-69.
    MyJurnal
    The term Developing Nations has to be used with caution as it had traditionally included a wide array of countries outside the developed world of North America, Western Europe and Japan (and a few other countries such as Australia and South Africa). The characteristics which defined these “emerging markets” were a Gross National Product (GNP) per capita which was below that of the developed economies, the potential for market growth and an environment with continued economic and political instability. However, as many of these countries have grown at different rates and have economic and other drivers which are very different and disparate, definitions of this sector have become more fragmented. (Copied from article).
    Matched MeSH terms: Gross Domestic Product
  12. Nur Nadia Adila Abdul Halim, Mohd Hafiidz Jaafar, Kadir Arifin, Kadaruddin Aiyub, Muhammad Rizal Razman, Mohd Haizzan Yahaya
    MyJurnal
    The construction industry is one of the largest sectors in Malaysia. This industry has become one of the main contributors
    for national economic development and consistently contributes 3% to 5% to the national Gross Domestic Product (GDP). This
    sector has also opened up job opportunities for various levels of employment. High demands and rapid urbanization offer huge
    opportunities for registered contractors. Despite contributing in enhancing national economics, this sector has been regarded as one
    of the most dangerous and hazardous workplaces due to the type of nature and the job activities at construction sites. According to
    the International Labour Organization (ILO), 2.3 million fatalities related to occupational accidents and illnesses are estimated to
    occur each year. Furthermore, 4 percent of world GDP is estimated to be lost due to occupational accidents and illnesses. The number
    of fatality accidents in the construction industry was the highest with 652 cases of non-permanent disability (NPD) and permanent
    disability (PD) accidents in the period 2007 to 2015, equivalent to 72.44 cases per year and representing 48.77% of the construction
    industry. The huge gap between the number of accidents reported to SOCSO and DOSH becomes a major concern due to a rising
    number of underreported cases of fatalities and injury in the construction sector, especially those involving foreign labour. The margin
    between accidents reported to SOCSO and DOSH is 97.49%. Regards to rapid developments, safety measures to improve performance
    management of OSH should be emphasized to reduce losses of life, property and productivity.
    Matched MeSH terms: Gross Domestic Product
  13. Shuja’, N., Lazim, M.A., Yap, B.W.
    MyJurnal
    Input-Output analysis provides important information about the structure of a country’s economy. The construction of input-output tables based on detailed census or surveys is a complex procedure requiring substantial financial outlay, human capital, and time. This is the main reason why Malaysia Input-Output (MIO) Table is produced and published on average once every five years. For policy makers past data is not seen as suitable for planning economic policies. The aim of this study is to compare RAS and Euro methods to project input-output tables for Malaysia. The data for the study are MIO table and Gross Domestic Product for the years 2000, 2005 and 2010. The RAS and Euro method were used to project the MIO table 2005 using MIO table 2000 and also projection of MIO table 2010 using MIO table 2005. The projection of I-O tables involved an intensive iterative procedure using Excel Visual Basic programming. The projection performance of RAS and Euro methods were assessed based on Mean Absolute Deviation (MAD), Root Mean Squared Error (RMSE) and Dissimilarity Index (DI). The results show that Euro method performed better than the RAS method in the projection of MIO table.
    Matched MeSH terms: Gross Domestic Product
  14. Solarin SA, Al-Mulali U
    PMID: 29931634 DOI: 10.1007/s11356-018-2562-5
    This study aims to contribute to the existing literature by looking at the influence of foreign direct investment on carbon dioxide emissions, carbon footprint, and ecological footprint. In order to realize the aim of this study, we have utilized the augmented mean group estimator, which is supported by common correlated effect mean group estimator in the analysis for 20 countries. The panel results reveal that foreign direct investment has no effect on environmental degradation indicators. The panel results further reveal that gross domestic product, energy consumption, and urbanization are the main contributors to environmental degradation. The results at country level show that foreign direct investment and urbanization increase pollution in the developing countries while they mitigate pollution in the developed countries. Moreover, gross domestic product and energy consumption increase pollution for both developed and developing countries, which includes China and the USA. The negative impact of foreign direct investment on environmental degradation in the developed countries can be explained on the basis that these countries have strong environmental regulations, which makes it almost impossible for dirty foreign industries to invest therein. From the output of this research, several policy recommendations are enumerated for the investigated countries.
    Matched MeSH terms: Gross Domestic Product
  15. Tarazkar MH, Dehbidi NK, Ozturk I, Al-Mulali U
    Environ Sci Pollut Res Int, 2021 Jul;28(26):33722-33734.
    PMID: 32314289 DOI: 10.1007/s11356-020-08880-4
    Rapid evolution in the population age structure of the Middle East countries has major economic, social, and environmental outcomes. Therefore, to fill the gap in the previous literatures, in this study, the effect of age structure on environmental degradation was investigated in the Middle East region. To achieve this goal, a panel data of 10 Middle East countries were examined over the period of 1990 to 2014. Moreover, the carbon dioxide emission per capita was used as an environmental pollution index in this study. According to the stationary property of the variables, small sample size data, and the assumptions of the model, the panel autoregressive distributed lag method of mean group, pooled mean group, and dynamic fixed effect estimators were investigated in this study. The empirical results implied that the pooled mean group model emerged as the most efficient among the three estimators. Also, results revealed that the age structure have a significant relationship with environmental pollution. Children and working age population have a positive elasticity, whereas elderly people have negative elasticity. Furthermore, the results showed that the working age population has the greatest explanatory power on the carbon emissions. Also, the relationship between per capita energy consumption and gross domestic product per capita with air pollution was positive. Overall, the empirical results showed that any attempt to decrease carbon dioxide emissions in the Middle East region should consider the population age structure.
    Matched MeSH terms: Gross Domestic Product
  16. Sahu PK, Solarin SA, Al-Mulali U, Ozturk I
    Environ Sci Pollut Res Int, 2022 Jan;29(1):817-827.
    PMID: 34345984 DOI: 10.1007/s11356-021-15577-9
    The reduction in oil prices might make crude oil a cheaper alternative to renewable energy (RE). Given this, the present paper examines the effect of fluctuation of oil prices on the use of RE in the United States (US) during the period 1970 to 2018. We constructed two nonlinear autoregressive distributed lag (NARDL) models to examine the effect of the positive and negative oil price shocks on the use of RE in the US. The RE consumption is taken as the dependent variable and the gross domestic product (GDP), Brent crude prices, population density, trade openness, and price index as independent variables. The result revealed that the rise in crude oil price, GDP, and population density will increase RE use in the short run and in the long run as well. Moreover, the study finds that any decrease in oil prices will decrease RE use in the short run and its effect will eventually diminish in the long run. On the policy front, it is suggested that US should raise its energy security by reducing its dependency on imported crude oil and increase the role of RE through the imposition of taxes on oil and increase the base of production and consumption through a series of measures.
    Matched MeSH terms: Gross Domestic Product
  17. Lund IH, Shaikh F, Harijan K, Kumar L, Dagar V
    Environ Sci Pollut Res Int, 2024 Jan;31(2):2090-2103.
    PMID: 38051491 DOI: 10.1007/s11356-023-31274-1
    The natural gas (NG) forms the sizeable portion of the primary energy consumption in Pakistan. However, its depleting domestic reserves and increasing demand is challenging to balance the supply-demand in the country. This paper investigates the relationship between NG consumption and driving factors using LMDI-STIRPAT PLSR framework. It is learned that fossil energy structure and per capita gross domestic product (GDP) are most influencing factors on NG consumption, followed by non-clean energy structure, energy intensity, and population. The factors were further modelled to forecast the future values of NG consumption for various scenarios. It is found that NG consumption would be 42.107 MTOE under the high development scenario which would be twice the baseline scenario. It is projected that indigenous NG production will fall from 4 to 2 billion cubic feet/day and demand will increase by 1.5 billion cubic feet/day. Therefore, an optimized strategy is required for a long-term solution to cater this increasing supply-demand.
    Matched MeSH terms: Gross Domestic Product
  18. Dranitsaris G, Truter I, Lubbe MS, Sriramanakoppa NN, Mendonca VM, Mahagaonkar SB
    Malays J Med Sci, 2011 Oct;18(4):32-43.
    PMID: 22589671 MyJurnal
    Decision analysis (DA) is commonly used to perform economic evaluations of new pharmaceuticals. Using multiples of Malaysia's per capita 2010 gross domestic product (GDP) as the threshold for economic value as suggested by the World Health Organization (WHO), DA was used to estimate a price per dose for bevacizumab, a drug that provides a 1.4-month survival benefit in patients with metastatic colorectal cancer (mCRC).
    Matched MeSH terms: Gross Domestic Product
  19. Hafner M, Yerushalmi E, Stepanek M, Phillips W, Pollard J, Deshpande A, et al.
    Br J Sports Med, 2020 Dec;54(24):1482-1487.
    PMID: 33239354 DOI: 10.1136/bjsports-2020-102590
    OBJECTIVES: We assess the potential benefits of increased physical activity for the global economy for 23 countries and the rest of the world from 2020 to 2050. The main factors taken into account in the economic assessment are excess mortality and lower productivity.

    METHODS: This study links three methodologies. First, we estimate the association between physical inactivity and workplace productivity using multivariable regression models with proprietary data on 120 143 individuals in the UK and six Asian countries (Australia, Malaysia, Hong Kong, Thailand, Singapore and Sri Lanka). Second, we analyse the association between physical activity and mortality risk through a meta-regression analysis with data from 74 prior studies with global coverage. Finally, the estimated effects are combined in a computable general equilibrium macroeconomic model to project the economic benefits of physical activity over time.

    RESULTS: Doing at least 150 min of moderate-intensity physical activity per week, as per lower limit of the range recommended by the 2020 WHO guidelines, would lead to an increase in global gross domestic product (GDP) of 0.15%-0.24% per year by 2050, worth up to US$314-446 billion per year and US$6.0-8.6 trillion cumulatively over the 30-year projection horizon (in 2019 prices). The results vary by country due to differences in baseline levels of physical activity and GDP per capita.

    CONCLUSIONS: Increasing physical activity in the population would lead to reduction in working-age mortality and morbidity and an increase in productivity, particularly through lower presenteeism, leading to substantial economic gains for the global economy.

    Matched MeSH terms: Gross Domestic Product/statistics & numerical data*
  20. Hishan SS, Sasmoko, Khan A, Ahmad J, Hassan ZB, Zaman K, et al.
    Environ Sci Pollut Res Int, 2019 Jun;26(16):16503-16518.
    PMID: 30980369 DOI: 10.1007/s11356-019-05056-7
    The Sub-Saharan Africa (SSA) is far lag behind the sustainable targets that set out in the United Nation's Sustainable Development Goals (SDGs), which is highly needed to embark the priorities by their member countries to devise sustainable policies for accessing clean technologies, energy demand, finance, and food production to mitigate high-mass carbon emissions and conserve environmental agenda in the national policy agenda. The study evaluated United Nation's SDGs for environmental conservation and emission reduction in the panel of 35 selected SSA countries, during a period of 1995-2016. The study further analyzed the variable's relationship in inter-temporal forecasting framework for the next 10 years' time period, i.e., 2017-2026. The parameter estimates for the two models, i.e., CO2 model and PM2.5 models are analyzed by Generalized Method of Moment (GMM) estimator that handle possible endogeneity issue from the given models. The results rejected the inverted U-shaped Environmental Kuznets Curve (EKC) for CO2 emissions, while it supported for PM2.5 emissions with a turning point of US$5540 GDP per capita in constant 2010 US$. The results supported the "pollution haven hypothesis" for CO2 emissions, while this hypothesis is not verified for PM2.5 emissions. The major detrimental factors are technologies, FDI inflows, and food deficit that largely increase carbon emissions in a panel of SSA countries. The IPAT hypothesis is not verified in both the emissions; however, population density will largely influenced CO2 emissions in the next 10 years' time period. The PM2.5 emissions will largely be influenced by high per capita income, followed by trade openness, and technologies, over a time horizon. Thus, the United Nation's sustainable development agenda is highly influenced by socio-economic and environmental factors that need sound action plans by their member countries to coordinate and collaborate with each other and work for Africa's green growth agenda.
    Matched MeSH terms: Gross Domestic Product/trends; Gross Domestic Product/statistics & numerical data
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