33 research outputs found

    Analysis of the Economic Impact of Research and Agricultural Extension of Sesame in Burkina Faso

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    This study aims to assess the economic impact of research and extension as for improved sesame varieties in Burkina Faso. Indeed, the effectiveness of the use of financial resources allocated to research and extension is a concern for donors and governments of different countries. The economic surplus model was used as an analytical tool for this study. Thus, data were collected from research, extension and statistical data production structures. This method evaluates the impacts in terms of shift of the supply curves. The results of the model show that it is benefitting to invest in cowpea research. In fact, in this study, the internal return rate is about 69% for the period ranging from 2006 to 2018, with a net added value nearly 372 billion FCFA. Such high rates could only be achieved through the relevance of the research results and their dissemination / adoption. Therefore, for a development of the sesame sector and an improvement of producers ‘income, the investment in the research is essential.&nbsp

    Assistance for Internally Displaced Persons in the Periphery of Ouagadougou in a Security Crisis Situation

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    The situation of internally displaced persons (IDPs) raises many questions due to a lack of information on the part of the government. The actors in the field do not always agree on certain points, especially with regard to the living conditions of IDPs and even the working conditions of the humanitarian organizations that provide them with assistance. The aim of this research was to know if the actions of socio-economic care of IDPs on the outskirts of Ouagadougou are effective. We used a non-probability sampling method. The observation units were selected according to their availability (reasoned choice). Thus, the survey involved a sample of 34 households, made up of 202 IDPs including 51 adults and 151 children. We also conducted interviews with three (03) representatives of the Social Action of the municipality of Ouagadougou, one (01) authority of the Town Hall of the District 09 of the municipality of Ouagadougou, three (03) members associations and organizations providing assistance to IDPs, and one (01) responsible for coordinating aid to displaced persons in the city of Ouagadougou. In view of the results, humanitarian aid is considered insufficient, it is therefore necessary to: (i) intensify and accelerate the empowerment of IDPs through income-generating activities. As a prelude, the State must assume its responsibilities and fulfill its most absolute duty, namely to take care of internally displaced persons wherever they are, without discrimination of zone

    Socio-Economic Determinants of the Market for the Poor (M4p) Systemic Approach on Rice Parboilers in the Tapoa Province in Burkina Faso

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    M4P is a process-based approach to development that provides agencies and governments with the framework to implement lasting change. The aim of this research is to determine the effects of the probability of adherence to the Market for the Poor (M4P) systemic approach on the socio-economic performance of rice parboilers in the province of Tapoa in Burkina Faso. To achieve this, the methodological approach uses survey data from 160 rice parboilers and Logit-type modeling. The results show that the perceptions of the actors on the innovations introduced by the M4P approach are positive and its adoption also has a positive impact on income; the age of the respondent, the daily wage, the production capacity, the quantity of hired labor positively and significantly affect the income of rice parboiling households in Tapoa. The State of Burkina Faso and the provincial authorities would benefit from working to strengthen the productive capacities of rice parboilers, through the popularization of the systemic approach (M4P) and the promotion of local rice in order to considerably improve the living conditions of all actors in the rice sector in Burkina Faso

    On the Generalized Hill Process for Small Parameters and Applications

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    Let X1,X2,...X_{1},X_{2},... be a sequence of independent copies (s.i.c) of a real random variable (r.v.) X≥1X\geq 1, with distribution function dfdf F(x)=PF(x)=\mathbb{P}% (X\leq x) and let X1,n≤X2,n≤...≤Xn,nX_{1,n}\leq X_{2,n} \leq ... \leq X_{n,n} be the order statistics based on the n≥1n\geq 1 first of these observations. The following continuous generalized Hill process {equation*} T_{n}(\tau)=k^{-\tau}\sum_{j=1}^{j=k}j^{\tau}(\log X_{n-j+1,n}-\log X_{n-j,n}), \label{dl02} {equation*} τ>0\tau >0, 1≤k≤n1\leq k \leq n, has been introduced as a continuous family of estimators of the extreme value index, and largely studied for statistical purposes with asymptotic normality results restricted to τ>1/2\tau > 1/2. We extend those results to 0<τ≤1/20 < \tau \leq 1/2 and show that asymptotic normality is still valid for τ=1/2\tau=1/2. For 0<τ<1/20 < \tau <1/2, we get non Gaussian asymptotic laws which are closely related to the Riemann function ζ(s)=∑n=1∞n−s,s>1% \zeta(s)=\sum_{n=1}^{\infty} n^{-s},s>1Comment: 19 pages; 4 figure

    A new location-scale model for conditional heavy-tailed distributions

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    International audienceWe are interested in a location-scale model for heavy-tailed distributions where the covariate is deterministic. We first address the nonparametric estimation of the location and scale functions and derive an estimator of the conditional extreme-value index. Second, new estimators of the extreme conditional quantiles are introduced. The asymptotic properties of the estimators are established under mild assumptions

    Estimation of the tail-index in a conditional location-scale family of heavy-tailed distributions

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    International audienceWe introduce a location-scale model for conditional heavy-tailed distributions when the covariate is deterministic. First, nonparametric estimators of the location and scale functions are introduced. Second, an estimator of the conditional extreme-value index is derived. The asymptotic properties of the estimators are established under mild assumptions and their finite sample properties are illustrated both on simulated and real data
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