scholarly journals Exploring the capacity of renewable energy consumption to reduce outdoor air pollution death rate in Latin America and the Caribbean region

2020 ◽  
Vol 28 (2) ◽  
pp. 1656-1674 ◽  
Author(s):  
Matheus Koengkan ◽  
José Alberto Fuinhas ◽  
Nuno Silva
Energy Policy ◽  
2017 ◽  
Vol 105 ◽  
pp. 386-397 ◽  
Author(s):  
Agustin Alvarez-Herranz ◽  
Daniel Balsalobre-Lorente ◽  
Muhammad Shahbaz ◽  
José María Cantos

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2954 ◽  
Author(s):  
Mun Ahmed ◽  
Koji Shimada

The objective of the paper is to figure out the nexus between renewable energy consumption and sustainable economic development for emerging and developing countries. In this paper, a panel of 30 emerging and developing countries is selected using the World Development Indicators (WDI) of the World Bank, Renewable Energy Country Attractiveness Index (RECAI) by Ernst and Young, and a random selection method based on the current trend of renewable energy consumption for five different regions of the world i.e., Asia, South-Asia, Latin America, Africa and the Caribbean. To achieve the objective, robust panel econometric models such as the Pesaran cross-section dependence (CD) test, second generation panel unit root test, e.g., cross-sectional augmented IPS test (CIPS) proposed by Pesran (2007), panel co-integration test, fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) are applied to check the cross-sectional dependence, heterogeneity and long-term relationship among variables. The panel is strongly balanced and the findings suggest a significant long-run relationship between renewable energy consumption and economic growth for selected South Asian, Asian and most of the African countries (Ghana, Tunisia, South Africa, Zimbabwe and Cameroon). But for the Latin American and the Caribbean countries, economic growth depends on non-renewable energy consumption. Renewable energy consumption in the selected countries of these two regions are still at the initial stage. In case of the renewable energy consumption and CO 2 emissions nexus, for selected South Asian, Asian, Latin American and African countries both GDP and non-renewable energy consumption cause the increase of CO 2 emissions. For the Caribbean countries only non-renewable energy consumption causes the increase of CO 2 emissions. An important finding regarding renewable energy consumption-economic growth nexus indicates the existence of bi-directional causality. This supports the existence of a feedback hypothesis for the emerging and developing economies. In the case of renewable energy consumption- CO 2 emissions nexus, there exists unidirectional causality. This supports the existence of the conservation hypothesis, where CO 2 emissions necessitates the renewable energy consumptions. Based on the findings, the study proposes possible policy options. The countries, who have passed the take-off stage of renewable energy consumption, can take advanced policy initiatives e.g., feed-in tariff, renewable portfolio standard and green certificate for long-term economic development. Other countries can undertake subsidy, low interest loan and market development to facilitate the renewable energy investments.


Author(s):  
Farzan YAHYA ◽  
Muhammad RAFIQ

Background: Air pollution is one of the major threats to human health and well-being. This study aimed to explore the effect of renewable energy consumption and carbon dioxide emissions on tuberculosis (TB) incidences. It further investigates the moderating role of urbanization on the relationship between underlying factors and TB. Methods: The data of 183 countries over the period 2000 to 2014 were collected and a two-step system GMM technique was utilized to reduce the endogeneity issue. Additionally, we divided the sample into two sub-panels based on country risk for more robust estimates. Results: Carbon dioxide emissions increase the incidences of TB while renewable energy consumption could restrict these cases. On the other hand, urbanization is positively associated with TB in high-risk. System-GMM estimates also indicated that urbanization further strengthens the positive association between CO2 emissions and tuberculosis. Conclusion: Climate-friendly energy technologies, surveillance, and adequate city planning can act as effective mechanisms to improve public health.


2020 ◽  
Vol 191 ◽  
pp. 109938 ◽  
Author(s):  
Tomás R. Bolaño-Ortiz ◽  
Yiniva Camargo-Caicedo ◽  
Salvador Enrique Puliafito ◽  
María Florencia Ruggeri ◽  
Sindy Bolaño-Diaz ◽  
...  

Author(s):  
Jia Yu Xie ◽  
Dong Hee Suh ◽  
Sung-Kwan Joo

This paper examines how economic growth and renewable energy consumption are associated with air pollution using a dynamic panel approach. Focusing on several major air pollutants, namely, particulate matter, sulfur dioxide, nitrogen oxide, and carbon monoxide, this paper tests the environmental Kuznets hypothesis and determines whether the use of renewable energy sources contributes to a reduction in air pollution. Data from a balanced panel of 145 countries for the period between 2000 and 2014 was used for the estimation of the dynamic panel model. The results of the dynamic panel model showed inverted U-shaped curves for the relationship between economic development and particulate matter and sulfur dioxide emissions. The results also revealed that increasing renewable energy consumption contributes to an improvement in air quality. Moreover, it was found that urbanization tends to decrease sulfur dioxide and nitrogen oxide emissions, while trade openness reduces particulate matter and carbon monoxide emissions but increases sulfur dioxide emissions.


2020 ◽  
Author(s):  
Lori Post ◽  
Ramael O Ohiomoba ◽  
Ashley Maras ◽  
Sean J Watts ◽  
Charles B Moss ◽  
...  

BACKGROUND SARS-CoV-19, the virus that causes COVID-19, is a global pandemic that has placed unprecedented stress on national economies, food systems and healthcare resources in Latin America and the Caribbean (LAC). This region has become an epicenter for the coronavirus, with Brazil and Mexico leading the globe in deaths following the U.S. in death count. Existing surveillance provides a proxy on COVID-19 caseload and deaths; however, these measures make it difficult to identify shifts to the pandemic and changes in the speed and acceleration in COVID-19. Accordingly, we provide an enhanced surveillance system to complement static metrics with dynamic ones that inform hen there are shifts and where explosive growth is likely to occur in LAC. OBJECTIVE This study aims to provide additional surveillance metrics for SARS-Cov-2 transmission that more accurately tracks shifts in the pandemic, speed, acceleration, jerk, and persistence in transmission than existing metrics. Enhanced surveillance will inform policy and COVID-19 outbreaks for leaders in LAC. METHODS Using a longitudinal trend analysis study design, we extracted 45 days of COVID data from public health registries. We use an empirical difference equation to measure the daily number of cases in the Latin America and Caribbean region as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments (GMM) approach by implementing the Arellano-Bond estimator in R. RESULTS COVID transmission rates were tracked for Latin America and the Caribbean during the weeks of 9/30-10/06 and 10/07-10/13. New cases in the region totaled 79,053 on 10/06 and 42,837 on 10/13. The 7-day moving average of new cases for the week of 10/6 was 56,106 and for the week of 10/13 was 47,276. Total infection rate decreased from 12.42 to 6.73 accompanied by a death rate decrease from 0.33 to 0.24. Within the region, on 9/30, Brazil had the largest number of new cases at 41,906 followed by Argentina at 14,740, Colombia at 7,650, and Mexico at 4,828. On 10/07, Argentina had the largest number of new cases in the region at 13,305, followed by Brazil at 10,220, Colombia at 5,014, and Mexico at 4,295. For both weeks, Brazil had the highest 7-day moving average, followed by Argentina. The region as a whole saw a decrease in speed, acceleration, and jerk for the week of 10/13 compared to the week of 10/6, accompanied by a decrease in new cases and 7-day moving average. For the week of 10/6, Belize had the highest acceleration and jerk in the region, at 1.7 and 1.8 respectively, which is particularly concerning given the high death rate in the country. The Bahamas also had a high acceleration at 1.5. 11 countries had a positive acceleration during the week of 10/6 whereas only six countries had a positive acceleration for the week of 10/13. The region overall is trending positively, with a speed of 10.40, an acceleration of 0.27, and a jerk of -0.31 all decreasing the subsequent week to 9.04, -0.81 and -0.03 respectively. CONCLUSIONS 1) Metrics such as new cases, cumulative cases, deaths, and 7-day moving averages provide a static view of the pandemic but fail to identify where and the speed at which SARS-CoV-19 is infecting new persons, the rate at which the speed is accelerating or decelerating and comparing this week to last week, how the rate of acceleration is increasing or decreasing indicate pending explosive growth or control of the pandemic; and 2) Although Latin America and the Caribbean saw an overall decrease in speed, acceleration, and jerk for the week of 10/13 compared to the week of 10/6, accompanied by a decrease in new cases and 7-day moving average, this is largely due to decreases in infections in Brazil and Mexico, the two countries containing over 50% of the population in the region. However, Brazil continues to have the highest 7-day moving average in the region, more than two times that of Argentina, the next highest in the region. CLINICALTRIAL NA


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