RESUMO
The present study critically examines the synergy effect of information communication technology (ICT) diffusion and foreign direct investment (FDI) on inclusive growth in Sub-Saharan African (SSA) countries using a modified system-generalized method of moments (GMM) model based on panel data covering the period 2005-2020. This study differs significantly from the previous studies in four ways: (i) this study uses a more comprehensive measure of ICT by computing a composite ICT index, which takes into account several ICT indicators; (ii) some existing study uses a narrow proxy of inclusive growth using the Gini index as a proxy, while others consider three patterns of economic growth dynamics (GDP growth, real, and per capita GDP). For robust analysis, we computed a composite inclusive growth index that takes into account several shared growth indicators; (iii) our model captures the heterogeneity effect of the interaction term of FDI and ICT diffusions on two groups of SSA countries, unlike the previous studies that estimated the joint impact of FDI and ICT on the whole group of countries; (iv) we contribute to the extant studies by determining the threshold level at which ICT diffusion may determine the effect of FDI on inclusive growth. Overall, empirical results show that the positive effect of FDI on inclusive growth could intensify when ICT diffusion is beyond a given threshold level, while inflation and vulnerable unemployment deteriorate inclusive growth, among others. We are of the opinion that ICTs should engage to cushion present and future environmental threats/natural catastrophes through improving geographical monitoring and concerted reaction coupled with other policy recommendations paying special attention to Sustainable Development Goals (SDGs) fifteen (15)-inclusive growth.
Assuntos
Dióxido de Carbono , Comunicação , Dióxido de Carbono/análise , África Subsaariana , Tecnologia da Informação , Investimentos em Saúde , Internacionalidade , Desenvolvimento EconômicoRESUMO
Nigeria had a confirmed case of COVID-19 on February 28, 2020. On March 17, 2020, the Nigerian Government inaugurated the Presidential Task Force (PTF) on COVID-19 to coordinate the country's multisectoral intergovernmental response. The PTF developed the National COVID-19 Multisectoral Pandemic Response Plan as the blueprint for implementing the response plans. The PTF provided funding, coordination, and governance for the public health response and executed resource mobilization and social welfare support, establishing the framework for containment measures and economic reopening. Despite the challenges of a weak healthcare infrastructure, staff shortages, logistic issues, commodity shortages, currency devaluation, and varying state government cooperation, high-level multisectoral PTF coordination contributed to minimizing the effects of the pandemic through early implementation of mitigation efforts, supported by a strong collaborative partnership with bilateral, multilateral, and private-sector organizations. We describe the lessons learned from the PTF COVID-19 for future multisectoral public health response.
Assuntos
COVID-19 , Pandemias , Humanos , Pandemias/prevenção & controle , COVID-19/epidemiologia , SARS-CoV-2 , Nigéria/epidemiologia , Saúde PúblicaRESUMO
Nigeria recorded her first case of COVID 19 in Lagos State on 27th February 2019, and the number of confirmed cases of COVID 19 has risen to 59 287, with 1113 deaths as of 4th October 2020. The commentary highlighted the importance of a health and demographic surveillance system (HDSS) and its potential in addressing surveillance gap, and the inadequacy of existing sociodemographic database used for palliative administration. The authors examined the HDSS in the context of the COVID-19 pandemic response and learning from the Nahuche model. The Nahuche HDSS model has the potential of identifying poor households as it collects standard data on the socio-economic status of each of the households within the demographic surveillance area (DSA). Standard questionnaire in assessing the household socio-economic status adapted from standard surveys, such as Nigeria Health and Demographic Survey and Malaria Indicator Survey, was administered on the household heads of each household every 2 years to monitor socio-economic advancement of the households. Data on variables such as household possessions, including animals and livestock, were collected and analyzed using factor analysis to group the households into different wealth indices. HDSS provides an opportunity to ameliorate the challenges associated with halting the spread of the virus in the areas of surveillance and administration of palliatives in Nigeria, where there is a paucity of reliable demographic and household-level socio-economic data. This paper calls for the setting up of a functioning HDSS in each region of Nigeria to address the dearth of reliable data for planning health and socio-economic interventions.
Assuntos
COVID-19 , Características da Família , Planejamento em Saúde , Pandemias , Política Pública , Classe Social , Inquéritos e Questionários , Demografia , Análise Fatorial , Programas Governamentais , Humanos , Malária , Nigéria , Propriedade , Saúde da População , Vigilância da População , Pobreza , SARS-CoV-2 , Fatores SocioeconômicosRESUMO
BACKGROUND: In Nigeria, diarrhea is the second leading killer of children under five. Between 2012-2017, the Clinton Health Access Initiative, Inc. (CHAI) and the Government of Nigeria implemented a comprehensive program in eight states aimed at increasing the percentage of children under five with diarrhea who were treated with zinc and oral rehydration solution (ORS). The program addressed demand, supply, and policy barriers to ORS and zinc uptake through interventions in both public and private sectors. The interventions included: (1) policy revision and partner coordination; (2) market shaping to improve availability of affordable, high-quality ORS and zinc; (3) provider training and mentoring; and (4) caregiver demand generation. METHODS: We conducted cross-sectional household surveys in program states at baseline, midline, and endline and constructed logistic regression models with generalized estimating equations to assess changes in ORS and zinc treatment during the program period. RESULTS: In descriptive analysis, we found 38% (95% CI = 34%-42%) received ORS at baseline and 4% (95% CI = 3%-5%) received both ORS and zinc. At endline, we found 55% (95% CI = 51%-58%) received ORS and 30% (95% CI = 27%-33%) received both ORS and zinc. Adjusting for other covariates, the odds of diarrhea being treated with ORS were 1.88 (95% CI = 1.46, 2.43) times greater at endline. The odds of diarrhea being treated with ORS and zinc combined were 15.14 (95% CI = 9.82, 23.34) times greater at endline. When we include the interaction term to investigate whether the odds ratios between the endline and baseline survey were modified by source of care, we found statistically significant results among diarrhea episodes that sought care in the public and private sector. Among cases that sought care in the public sector, the predictive probability of treatment with ORS increased from 57% (95% CI = 50%-65%) to 83% (95% CI = 79%-87%). Among cases that sought care in the private sector, the predictive probability increased from 41% (95% CI = 34%-48%) to 58% (95% CI = 54%-63%). CONCLUSIONS: Use of ORS and combined ORS and zinc for treatment of diarrhea significantly increased in program states during the program period.