Impact of Monetary Policy on Inflationary Process in Nigeria

The paper examines the Impact of Monetary Policy on Inflationary Process in Nigeria from 1986 – 2013, using ordinary least squared regression. We started with investigating the stochastic properties of the data using the Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests for unit roots. Both tests suggest that all the variables of interest which comprise of inflation rate, Money supply, interest rate and Unemployment are integrated at the second difference. The regression results showed that monetary policy have significant influence on inflation.  It is recommended that the government should embark on joint coordination of fiscal and monetary authorities with respect to liquidity flows in the economy to aid curb inflation. Furthermore, where deficit financing is inevitable, it should be put into productive activities in order to create more employment opportunities, raise national output, and increase the living standard of the people. Keywords: Monetary policy, inflation, money supply, interest rate, unemploymen

Input Subsidies to Improve Smallholder Maize Productivity in Malawi: Toward an African Green Revolution

Recent hikes in food prices have created economic and social turmoil in many African countries. But in Malawi, fertilizer and seed subsidies have enabled small-scale farmers to improve maize productivity and achieve food security

Predicting the Current and Future Potential Distributions of Lymphatic Filariasis in Africa Using Maximum Entropy Ecological Niche Modelling

Modelling the spatial distributions of human parasite species is crucial to understanding the environmental determinants of infection as well as for guiding the planning of control programmes. Here, we use ecological niche modelling to map the current potential distribution of the macroparasitic disease, lymphatic filariasis (LF), in Africa, and to estimate how future changes in climate and population could affect its spread and burden across the continent. We used 508 community-specific infection presence data collated from the published literature in conjunction with five predictive environmental/climatic and demographic variables, and a maximum entropy niche modelling method to construct the first ecological niche maps describing potential distribution and burden of LF in Africa. We also ran the best-fit model against climate projections made by the HADCM3 and CCCMA models for 2050 under A2a and B2a scenarios to simulate the likely distribution of LF under future climate and population changes. We predict a broad geographic distribution of LF in Africa extending from the west to the east across the middle region of the continent, with high probabilities of occurrence in the Western Africa compared to large areas of medium probability interspersed with smaller areas of high probability in Central and Eastern Africa and in Madagascar. We uncovered complex relationships between predictor ecological niche variables and the probability of LF occurrence. We show for the first time that predicted climate change and population growth will expand both the range and risk of LF infection (and ultimately disease) in an endemic region. We estimate that populations at risk to LF may range from 543 and 804 million currently, and that this could rise to between 1.65 to 1.86 billion in the future depending on the climate scenario used and thresholds applied to signify infection presence

SINE RNA Induces Severe Developmental Defects in Arabidopsis thaliana and Interacts with HYL1 (DRB1), a Key Member of the DCL1 Complex

The proper temporal and spatial expression of genes during plant development is governed, in part, by the regulatory activities of various types of small RNAs produced by the different RNAi pathways. Here we report that transgenic Arabidopsis plants constitutively expressing the rapeseed SB1 SINE retroposon exhibit developmental defects resembling those observed in some RNAi mutants. We show that SB1 RNA interacts with HYL1 (DRB1), a double-stranded RNA-binding protein (dsRBP) that associates with the Dicer homologue DCL1 to produce microRNAs. RNase V1 protection assays mapped the binding site of HYL1 to a SB1 region that mimics the hairpin structure of microRNA precursors. We also show that HYL1, upon binding to RNA substrates, induces conformational changes that force single-stranded RNA regions to adopt a structured helix-like conformation. Xenopus laevis ADAR1, but not Arabidopsis DRB4, binds SB1 RNA in the same region as HYL1, suggesting that SINE RNAs bind only a subset of dsRBPs. Consistently, DCL4-DRB4-dependent miRNA accumulation was unchanged in SB1 transgenic Arabidopsis, whereas DCL1-HYL1-dependent miRNA and DCL1-HYL1-DCL4-DRB4-dependent tasiRNA accumulation was decreased. We propose that SINE RNA can modulate the activity of the RNAi pathways in plants and possibly in other eukaryotes

Ovine enzootic abortion disease seroprevalence in small ruminants around the world: a systematic review

Chlamydia abortus is a causative agent of Ovine Chlamydiosis or Ovine Enzootic Abortion (OEA) or Enzootic Abortion of Ewes (EAE) and can be transmitted to humans especially pregnant women during the lambing or kidding season, sheep, and goats from infected flocks represent a potential risk to pregnant women. Purpose: The objective of this study was to estimate the pooled prevalence of chlamydial abortus infections in small ruminants. Materials and Methods: The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Relevant studies were retrieved from PubMed, Scopus, Web of Science, and Google Scholar. The retrieved studies were screened for eligibility. Then, important data were extracted from the included studies. The quality of each included study was evaluated. Results: Of 145 studies, 25 (with a total of 15663 samples) met the inclusion criteria and were included in the meta-analysis. The pooled prevalence of chlamydial infections in small ruminants was 14,46 % (95%, CI: 14,07±15,18). Among continents, the average prevalence of chlamydial abortus infections was highest in Asia (52%) (95% CI: 32,42±71,58) and lowest in North America (4%) (95% CI: 3,68±11,68). Conclusions: Few studies have reported the prevalence of chlamydia infections in small ruminants. Based on the available data, the prevalence of chlamydia infections in small ruminants was quite high (14.46%). Therefore, small ruminants could be potential reservoirs of Chlamydia and pose a risk to humans especially pregnant women, or other animal species, especially in the wild

Experimental huts trial of the efficacy of pyrethroids/piperonyl butoxide (PBO) net treatments for controlling multi-resistant populations of Anopheles funestus s.s. in Kpomè, Southern Benin

Background: Insecticides resistance in Anopheles mosquitoes limits Long-Lasting Insecticidal Nets (LLIN) used for malaria control in Africa, especially Benin. This study aimed to evaluate the bio-efficacy of current LLINs in an area where An. funestus s.l. and An. gambiae have developed multi-resistance to insecticides, and to assess in experimental huts the performance of a mixed combination of pyrethroids and piperonyl butoxide (PBO) treated nets on these resistant mosquitoes. Methods: The study was conducted at Kpomè, Southern Benin. The bio-efficacy of LLINs against An. funestus and An. gambiae was assessed using the World Health Organization (WHO) cone and tunnel tests. A released/recapture experiment following WHO procedures was conducted to compare the efficacy of conventional LLINs treated with pyrethroids only and LLINs with combinations of pyrethroids and PBO. Prior to huts trials, we confirmed the level of insecticide and PBO residues in tested nets using high performance liquid chromatography (HPLC). Results: Conventional LLINs (Type 2 and Type 4) have the lowest effect against local multi-resistant An. funestus s.s. and An. coluzzii populations from Kpomè. Conversely, when LLINs containing mixtures of pyrethroids and PBO (Type 1 and Type 3) were introduced in trial huts, we recorded a greater effect against the two mosquito populations (P < 0.0001). Tunnel test with An. funestus s.s. revealed mortalities of over 80% with this new generation of LLINs (Type 1 and Type 3),while conventional LLINs produced 65.53 ± 8.33% mortalities for Type 2 and 71.25 ±7.92% mortalities for Type 4. Similarly, mortalities ranging from 77 to 87% were recorded with the local populations of An. coluzzii. Conclusion: This study suggests the reduced efficacy of conventional LLINs (Pyrethroids alone) currently distributed in Benin communities where Anopheles populations have developed multi-insecticide resistance. The new generation nets (pyrethroids+PBO) proved to be more effective on multi-resistant populations of mosquitoes

Local Perceptions and Responses to Climate Change and Variability: The Case of Laikipia District, Kenya

Agricultural policies in Kenya aim to improve farmers&amp;#8217; livelihoods. With projected climate change, these policies are short of mechanisms that promote farmers&amp;#8217; adaptation. As a result, smallholders are confronted with a variety of challenges including climate change, which hinders their agricultural production. Local knowledge can be instrumental in assisting smallholders to cope with climate change and variability. In this paper, we present empirical evidence that demonstrates local knowledge, perceptions and adaptations to climate change and variability amongst smallholders of Laikipia district of Kenya. A Palmer Drought Severity Index (PDSI) calculated for one station is compared with smallholders&amp;#8217; perceptions. Data was collected using qualitative and quantitative methods in Umande and Muhonia sub-locations. Qualitative data included 46 transcripts from focus group discussions and key informant interviews. Quantitative data is derived from 206 interviewees. We analyzed qualitative and quantitative data using Atlas-ti and SPSS respectively. According to smallholders&amp;#8217; perceptions, climatic variability is increasingly changing. Local perceptions include decreasing rainfalls, increasing temperatures, increasing frosts and increasing hunger. The PDSI shows a trend towards severe droughts in the last four decades, which is in accordance with farmers&amp;#8217; perceptions. Smallholders use a combination of coping and adaptation strategies to respond to variability, including, among others, diversification of crop varieties, migration and sale of livestock. Significant relationships exist between drought perceptions and some adaptations such as migration and sale of livestock. Farmers have an in-depth knowledge of climatic variability, which they use to inform their coping and adaptation strategies. Knowledge of climatic perceptions and adaptations are vital entry points for decision makers and policy makers to learn how and where to enhance the adaptive capacity of smallholders in rainy and drought periods

Why Do Some Africans Pay Bribes While Other Africans Don’t?

Generalizations about African societies being pervasively corrupt are refuted in this innovative paper. Among 25,397 Afrobarometer respondents in 18 countries, 26% report paying a bribe, while 74% do not. Five hypotheses offer explanations: institutional context, inequalities of socio-economic resources, social inclusion and exclusion, social and political capital, and conflicting norms. Multilevel statistical analysis identifies as most important: contextual differences in colonial legacies, ethnic politicization, service provision, press freedom, and having social or political capital. The analysis emphasizes studying behavior rather than perceptions of corruption and supports a public-policy focus on bribery as an exchange for specific public services

Violent Islamist Extremism and Terror in Africa

This paper presents an overview of large-scale violence by Islamist extremists in key African countries. The paper builds on previous publications of the Institute for Security Studies on the nexus between development and conflict trends, and it seeks to provide an overview of the evolution of the associated terrorism through quantitative and contextual analysis using various large datasets. The focus is on the development and links among countries experiencing the worst of this phenomenon, especially Algeria, Egypt, Tunisia, Libya, Mali, Nigeria and Somalia, as well as the impact of events in the Middle East on these African countries.Hanns Seidel Foundationhttp://www.issafrica.org/publications/papershb201