The environmental effects of urbanization and globalization are still subject to debate among scholars. South Africa is the most globalized, most urbanized and the most carbon-intensive economy in Sub Saharan Africa (SSA) region. Taking this into cognizance, this study examines the effects of urbanization and globalization on CO2 emissions for South Africa using time series annual data for the period 1980-2017. Zivot and Andrews single and Bai and Perron multiple structural break unit root tests are employed to assess if all the series are stationary. This procedure follows ARDL cointegration test to check the presence of a long-run association among variables. Having been confirmed about such a cointegrating relation, ARDL short-run and long run coefficients indicate that urbanization induces CO2 emissions while only long-run significant emissions effect of globalization was noted. Toda-Yamamoto non-causality test reports a bi-directional causal link between urbanization and CO2 emissions. No causal link is observed between globalization and CO2 emissions. Variance decomposition results do not rule out these effects in future. Policy implications are discussed.

Energy recovery from biomass by gasification technology has attracted significant interest because it satisfies a key requirement of environmental sustainability by producing near zero emissions. Though it is not a new technology, studies on its integrated process simulation and analysis are limited, in particular for municipal solid waste (MSW) gasification. This paper develops an integrated fixed bed gasifier model of biomass gasification using the Advanced System for Process ENngineering (Aspen) Plus software for its performance analysis. A computational model was developed on the basis of Gibbs free energy minimization. The model is validated with experimental data of MSW and food waste gasification available in the literature. A reasonable agreement between measured and predicted syngas composition was found. Using the validated model, the effects of operating conditions, namely air-fuel ratio and gasifier temperature, on syngas production are studied. Performance analyses have been done for four different feedstocks, namely wood, coffee bean husks, green wastes and MSWs. The ultimate and proximate analysis data for each feedstock was used for model development. It was found that operating parameters have a significant influence on syngas composition. An air-fuel ratio of 0.3 and gasifier temperature of 700 °C provides optimum performance for a fixed bed gasifier for MSWs, wood wastes, green wastes and coffee bean husks. The developed model can be useful for gasification of other biomasses (e.g., food wastes, rice husks, poultry wastes and sugarcane bagasse) to predict the syngas composition. Therefore, the study provides an integrated gasification model which can be used for different biomass feedstocks.

Gasification is a thermo-chemical process to convert carbon-based products such as biomass and coal into a gas mixture known as synthetic gas or syngas. Various types of gasification methods exist, and fluidized bed gasification is one of them which is considered more efficient than others as fuel is fluidized in oxygen, steam or air. This paper presents an experimental and numerical investigation of fluidized bed gasification of solid waste (SW) (wood). The experimental measurement of syngas composition was done using a pilot scale gasifier. A numerical model was developed using Advanced System for Process ENgineering (Aspen) Plus software. Several Aspen Plus reactor blocks were used along with user defined FORTRAN and Excel code. The model was validated with experimental results. The study found very similar performance between simulation and experimental results, with a maximum variation of 3%. The validated model was used to study the effect of air-fuel and steam-fuel ratio on syngas composition. The model will be useful to predict the various operating parameters of a pilot scale SW gasification plant, such as temperature, pressure, air-fuel ratio and steam-fuel ratio. Therefore, the model can assist researchers, professionals and industries to identify optimized conditions for SW gasification.

Background: Malnutrition is substantially higher among children with cerebral palsy (CP) in low- and middle-income countries (LMICs) when compared with the general population. Access to appropriate interventions is crucial for better management of malnutrition and nutritional outcomes of those children. We aimed to review the existing evidence on nutrition interventions for children with CP in LMICs. Methods: Online databases, i.e., PubMed and Scopus, and Google Scholar were searched up to 10 January 2022, to identify peer-reviewed publications/evidence on LMIC focused nutritional management guidelines/interventions. Following title screening and abstract review, full articles that met the inclusion/exclusion criteria were retained for data charting. Information about the study characteristics, nutrition interventions, and their effectiveness were extracted. Descriptive data were reported. Results: Eight articles published between 2008 and 2019 were included with data from a total of n = 252 children with CP (age range: 1 y 0 m–18 y 7 m, 42% female). Five studies followed experimental design; n = 6 were conducted in hospital/clinic/center-based settings. Four studies focused on parental/caregiver training; n = 2 studies had surgical interventions (i.e., gastrostomy) and n = 1 provided neurodevelopmental therapy feeding intervention. Dietary modification as an intervention (or component) was reported in n = 5 studies and had better effect on the nutritional outcomes of children with CP compared to interventions focused on feeding skills or other behavioral modifications. Surgical interventions improved nutritional outcomes in both studies; however, none documented any adverse consequences of the surgical interventions. Conclusion: There is a substantial knowledge gap on nutrition interventions for children with CP in LMICs. This hinders the development of best practice guidelines for the nutritional management of children with CP in those settings. Findings suggest interventions directly related to growth/feeding of children had a better outcome than behavioral interventions. This should be considered in planning of nutrition-focused intervention or comprehensive services for children with CP in LMICs.

Background: Despite the high burden of childhood disability in low-and middle-income countries (LMICs), the opportunity for early intervention and rehabilitation is very limited. Studies have found that community-based rehabilitation service is effective for children with cerebral palsy (CP); however, such services are not readily available in LMICs, and services run by non-profit organisations on external funding are often not sustainable. In this study, we report the lesson learnt in establishing a social business model of early intervention and rehabilitation services for children with CP and adults with disabilities in a rural subdistrict of Bangladesh. Methods: Case study of a rural early intervention and rehabilitation centre (i.e., the model centre) implemented between May 2018 and September 2019. An economic evaluation incorporating gross margin analysis along with descriptive statistics was performed to assess the social business potentials of the model centre. Results: The establishment of this model centre cost ~5955 USD with an average monthly running cost of ~994 USD. During the 17 months study period, 7038 therapy sessions (average eight sessions per patient) were offered to 862 patients with musculoskeletal and neurological disorders. The most common clinical presentations were low back pain (35.6%; n = 307). Six percent (n = 52) of the attendees were children with CP (mean (SD) age 6.3 (4.0) years; 35.7% (n = 19) were female), who received 1392 sessions, on average 27 sessions per child. The centre reached the break-even point at the 13th month and remained profitable for the next 4 months of the study period. An average session fee of 2.2 USD resulted in a gross margin of -1458 USD and 1940 USD in 2018 and 2019, respectively. Revenue to cost ratios for the 2 years were 0.27:1 and 0.51:1 while average rates of return were −41.4% and 10.1%, respectively. Sensitivity analysis revealed that session numbers including 5000, 6000, 7000, 8000, 9000, and 10,000 were required to break even at the session fees of 3.0, 2.50, 2.0, 2.0, 1.5, and 1.5 USD, respectively. Conclusion: Our social business model of an early intervention and rehabilitation service provides evidence of enhancing access to services for children with CP as well as adults with disabilities while ensuring the sustainability of the services in rural Bangladesh.