Intelligence and its effects on environmental decline: A worldwide analysis.

The research investigates the relationship between intelligence quotient (IQ) and environmental degradation, aiming to understand how cognitive abilities influence environmental outcomes across different nations and time periods. The objective is to examine the impact of intelligence quotient (IQ) on environmental indicators such as carbon emissions, ecological demand, and the Environmental Kuznets Curve (EKC), seeking insights to inform environmental policy and stewardship. The study utilizes statistical techniques including Ordinary Least Squares (OLS), Two Stage Least Squares (2SLS), and Iteratively Weighted Least Squares (IWLS) to analyze data from 147 nations over the years 2000-2017. These methods are applied to explore the relationship between IQ and environmental metrics while considering other relevant variables. The findings reveal unexpected positive associations between human intelligence quotient and carbon emissions, as well as ecological demand, challenging conventional notions of "delay discounting." Additionally, variations in the Environmental Kuznets Curve (EKC) hypothesis are identified across different pollutants, highlighting the roles of governance and international commitments in mitigating emissions. The study concludes by advocating for the adoption of a "delay discounting culture" to address environmental challenges effectively. It underscores the complex interactions between intelligence, governance, and population dynamics in shaping environmental outcomes, emphasizing the need for targeted policies to achieve sustainability objectives.

The role of green finance and governance effectiveness in the impact of renewable energy investment on CO2 emissions in BRICS economies.

In the context of sustainable development, this study investigates the intricate dynamics among good governance, renewable energy investment, and green finance in BRICS nations. The aim of the study is to assess how green finance and governance effectiveness moderate the impact of renewable energy investment on CO2 emissions. Utilizing the Cross-Sectional Autoregressive Distributed Lag (CS-ARDL) model, a meticulous analysis spanning two decades was conducted to unravel the relationships among key variables and CO2 emissions. The findings underscore a nuanced interplay where renewable energy investments, synergized with robust governance and strategic green finance, significantly mitigate CO2 emissions, contributing to sustainable economic development. However, the study reveals non-linear relationships, highlighting the necessity for optimal allocation and strategic planning to maximize environmental benefits. In the short-run, a government effectiveness policy threshold that should be attained in order for renewable energy investment to reduce CO2 emissions is provided. In the long-run, the negative responsiveness of CO2 emissions to renewable energy investment is further consolidated by green finance. Moreover, enhancing renewable energy investment in the long run is positive for environmental sustainability. It follows that policy makers should tailor policies aimed at enhancing renewable energy investment in the long-run as well as complementing renewable energy investment with green finance in the long-run in order to ensure environmental sustainability by means of reducing CO2 emissions. Policymakers in BRICS nations are urged to strengthen governance structures, promote renewable energy investments, leverage green finance, foster public-private partnerships, adopt a holistic approach, and address non-linear effects to accelerate the transition to a low-carbon economy.

COVID-19 economic vulnerability and resilience indexes: Global evidence.

This study complements the extant literature by constructing COVID-19 economic vulnerability and resilience indexes using a global sample of 150 countries categorised into four principal regions: Africa, Asia-Pacific and the Middle East, America, and Europe. Seven variables are used for the vulnerability index and nine for the resilience index. Both regions and sampled countries are classified in terms of the two proposed and computed indexes. The classification of countries is also provided in terms of four scenarios pertaining to vulnerability and resilience characteristics: low vulnerability-low resilience, high vulnerability-low resilience, high vulnerability-high resilience, and low vulnerability-high resilience to illustrate sensitive, severe, asymptomatic, and best cases, respectively. The findings are relevant to policy makers, especially as they pertain to decision-making in resource allocation in the fight against the global pandemic.

Population dynamics and environmental quality in Africa.

The nexus of population dynamics and environmental degradation has been discussed widely in the extant literature. Most related studies have utilized carbon emission as a proxy of environmental quality. However, carbon emission does not capture the multidimensional nature of environmental degradation. To fill this gap, this study utilized the ecological footprint to capture environmental degradation because it is a more dynamic environmental quality measure. The paper examines the population-environmental degradation hypothesis for five populous African countries (DR Congo, Ethiopia, Nigeria, South Africa and Tanzania) using panel information from 1990 to 2019. The Cross-sectionally Augmented autoregressive distributed lag (CS-ARDL) was employed to assess the relationship among the data - ecological footprint per capita (ECFP), population growth rate (POPG), population density (POPD), urban population growth rate (URBN), age structure of the population (AGES), per capita GDP growth rate (PGDP), energy consumption (ENEC), and trade openness (TRAD). The findings of the study revealed that POPG, POPD, AGES, PGDP, ENEC and TRAD increase environmental degradation. Urbanization (URBN) has no significant influence on environmental degradation in the selected African countries. The study concludes with policy prescriptions geared towards addressing population expansion and improving environmental quality.

Financial development, human capital development and climate change in East and Southern Africa.

Africa is currently experiencing both financial and human development challenges. While several continents have advocated for financial development in order to acquire environmentally friendly machinery that produces less emissions and ensures long-term sustainability, Africa is still lagging behind the rest of the world. Similarly, Africa's human development has remained stagnant, posing a serious threat to climate change if not addressed. Building on the underpinnings of the environmental Kuznets curve (EKC) hypothesis on the nexus between economic growth and environmental pollution, this study contributes to empirical research seeking to promote environmental sustainability as follows. First, it investigates the link between financial development, human capital development and climate change in East and Southern Africa. Second, six advanced panel techniques are used, and they include (1) cross-sectional dependency (CD) tests; (2) combined panel unit root tests; (3) combined panel cointegration tests; (4) panel VAR/VEC Granger causality tests; and (5) combined variance decomposition analysis based on Cholesky and generalised weights. Our finding shows that financial and human capital developments are important in reducing CO2 emissions and promoting environmental sustainability in East and Southern Africa.

The COVID-19 pandemic: Theoretical and practical perspectives on children, women and sex trafficking.

We provide theoretical and practical perspectives on children, women, and sex trafficking during the COVID-19 pandemic. Process tracing is employed as a primary research instrument. It is an analytical technique used for either theory-building or theory-testing purposes that is employed to elucidate causation and change as well as to develop and evaluate extant theories in social sciences. We illustrate that a policy is needed that will strengthen the capacity of existing structures in the fight against the underlying trafficking so that these attendant structures are efficiently used to stop the trafficking and avoid the corresponding threats to public health safety.

The effect of finance on inequality in Sub-Saharan Africa: avoidable CO2 emissions thresholds.

There is a glaring concern of income inequality in the light of the post-2015 global development agenda of Sustainable Development Goals (SDGs), especially for countries that are in the south of the Sahara. There are also concerns over the present and future consequences of ecological degradation on development outcomes in Sub-Saharan Africa (SSA). This study provides carbon dioxide (CO2) emissions thresholds that should be avoided in the nexus between financial development and income inequality in a panel of 39 countries in SSA over the period 2004-2014. Quantile regressions are used as an empirical strategy. The following findings are established. Financial development unconditionally decreases income inequality with an increasing negative magnitude, while the interactions between financial development and CO2 emissions have the opposite effect with an increasing positive magnitude. The underlying nexuses are significant exclusively in the median and top quantiles of the income inequality distribution. CO2 emission thresholds that should not be exceeded for financial development to reduce income inequality continuously are 0.222, 0.200, and 0.166 (metric tons per capita) for the median, the 75th quantile, and the 90th quantile of the income inequality distribution, respectively. Policy implications are discussed with particular relevance to Sustainable Development Goals (SDGs).

The criticality of growth, urbanization, electricity and fossil fuel consumption to environment sustainability in Africa.

While most African economies are primarily sandwiched with the seemingly unsurmountable task of attaining consistent economic growth and unhindered energy supply, the enormous threat posed by environmental degradation has further complicated the economic and environmental sustainability drive. In this context, the present study examines the effect of economic growth, urbanization, electricity consumption, fossil fuel energy consumption, and total natural resources rent on pollutant emissions in Africa over the period 1980-2014. By employing selected African countries, the current study relies on the Kao and Pedroni cointegration tests to cointegration analysis, the Pesaran's Panel Pooled Mean Group-Autoregressive distributive lag methodology (ARDL-PMG) for long run regression while Dumitrescu and Hurlin (2012) is employed for the detection of causality direction among the outlined variables. The study traces long run equilibrium relationships between examined indicators. The ARDL-PMG results suggest a statistical positive relationship between pollutant emissions and urbanization, electricity consumption and non-renewable energy consumption. Dumitrescu and Hurlin (2012) Granger causality test lends support to the long-run regression results. A bi-directional causality is observed between pollutant emissions, electricity consumption, economic growth and pollutant emissions while a unidirectional causality is apparent between total natural resources rent and pollutant emission. Based on these results, several policy implications for the African continent were suggested. (a) The need for a paradigm shift from fossil fuel sources to renewables is encouraged in the region (b) The need to embrace carbon storage and capturing techniques to decouple pollutant emissions from economic growth on the continent's growth trajectory. Further policy insights are elucidated.

The conditional relationship between renewable energy and environmental quality in sub-Saharan Africa.

This paper complements existing literature by assessing the conditional relationship between renewable energy and environmental quality in a sample of 40 African countries for the period 2002 to 2017. The empirical evidence is based on fixed effects regressions and quantile fixed effects regressions. The findings from both estimation techniques show that renewable energy consistently decreases carbon dioxide (CO2) emissions. Moreover, the negative effect is a decreasing function of CO2 emissions or the negative effect of renewable energy on CO2 emissions decreases with increasing levels of CO2 emissions. In other words, countries with higher levels of CO2 emissions consistently experience a less negative effect compared with their counterparts with lower levels of CO2 emissions. Policy implications are discussed.

CO2 emission thresholds for inclusive human development in sub-Saharan Africa.

We provide policy-relevant critical masses beyond which, increasing CO2 emissions negatively affects inclusive human development. This study examines how increasing CO2 emissions affects inclusive human development in 44 sub-Saharan African countries for the period 2000-2012. The empirical evidence is based on fixed effects and Tobit regressions. In order to increase the policy relevance of this study, the dataset is decomposed into fundamental characteristics of inclusive development and environmental degradation based on income levels (low income versus (vs.) middle income); legal origins (English common law vs. French civil law); religious domination (Christianity vs. Islam); openness to sea (landlocked vs. coastal); resource-wealth (oil-rich vs. oil-poor) and political stability (stable vs. unstable). All computed thresholds are within policy range. Hence, above these thresholds, CO2 emissions negatively affect inclusive human development.

ICT, openness and CO2 emissions in Africa.

This study investigates how information and communication technology (ICT) complements globalisation in order to influence CO2 emissions in 44 Sub-Saharan African countries over the period 2000-2012. ICT is measured with internet penetration and mobile phone penetration whereas globalisation is designated in terms of trade and financial openness. The empirical evidence is based on the generalised method of moments. The findings broadly show that ICT can be employed to dampen the potentially negative effect of globalisation on environmental degradation like CO2 emissions. Practical, policy and theoretical implications are discussed.

STATISTICS AND INTELLIGENCE IN DEVELOPING COUNTRIES: A NOTE.

The purpose of this study is to assess the relationship between intelligence (or human capital) and the statistical capacity of developing countries. The line of inquiry is motivated essentially by the scarce literature on poor statistics in developing countries and an evolving stream of literature on the knowledge economy. A positive association is established between intelligence quotient (IQ) and statistical capacity. The relationship is robust to alternative specifications with varying conditioning information sets and control for outliers. Policy implications are discussed.

The impact of health worker migration on development dynamics: evidence of wealth effects from Africa.

This article examines three relevant hypotheses on the effect of health worker migration on human development and economic prosperity (at the macro- and micro-levels) in Africa. Owing to the lack of relevant data on health human resource (HHR) migration for the continent, the subject matter has remained empirically void over the last decades despite the acute concern about health professional emigration. Using quantile regression, the following findings have been established. (1) The effect of HHR emigration is positive (negative) at low (high) levels of economic growth. (2) HHR emigration improves (mitigates) human development (GDP per capita growth) in low (high) quantiles of the distribution. (3) Specific differences in effects are found in top quantiles of human development and low quantiles of GDP per capita growth where the physician (nurse) emigration elasticities of development are positive (negative) and negative (positive), respectively. As a policy implication, blanket health-worker emigration control policies are unlikely to succeed across countries with different levels of human development and economic prosperity. Hence, the policies should be contingent on the prevailing levels of development and tailored differently across the most and least developed African countries.