1,720,973 research outputs found
Adoption of Climate-Smart Agricultural Technologies and Practices in Fragile and Conflict-Affected Settings: A Review and Meta-Analysis
No full textA major challenge for countries dealing with conflict and instability is encouraging the use of farming
technologies and natural resource management practices that are climate-smart. These practices boost
productivity, build resilience to climate challenges and thus contribute to other dimensions of resilience
such as those associated with conflict. In this review and meta-analysis, we assess factors associated with
farmers’ adoption decisions for such technologies and practices. We use advanced machine learning tools
to analyze over 42,000 published papers. Focusing on countries identified as fragile due to either climate
shocks or conflict, we select 109 papers and extract 1330 coefficients and implement partial correlation
coefficient analysis. Our findings show that most of the research comes from two countries; Ethiopia and
Nigeria and we do not find any studies from Small Island States. We categorized the technologies into five
technology groups, including soil health, erosion management, mechanization, input use and risk reduction
technologies. Analysis reveals that factors such as farmer training, access to information, subsidies, and
past experiences of using technologies predicts further technology adoption. However, there are significant differences across various technology groups and most especially, a very low coverage of risk-reduction technologies such as insurance
COVID-19 and food insecurity in Africa: A review of the emerging empirical evidence
No full textThe coronavirus disease (COVID-19) risks rolling back many of the efforts and global successes recorded in reducing poverty and food insecurity. We undertake a systematic search and review of the growing microeconomic literature on the association between COVID-19 and food insecurity in Africa, discussing its implications for food policy and research. Furthermore, we review the various coping strategies households employ to build resilience to COVID-19. The evidence indicates that COVID-19 is associated with an increase in food insecurity both ex-ante and ex-durante. Given the covariate nature of COVID-19 and associated control mechanisms, current evidence is short of providing clear causal learning. We provide some potential interesting areas where future efforts can be geared to improve learning on the relationship between COVID-19, food insecurity, and building resilience to shocks
COVID-19 and food (in)security in Africa: Review of the emerging empirical evidence
No full textCOVID-19 risks rolling back many of the efforts and global successes recorded in reducing poverty and food insecurity. We undertake a systematic review of the growing microeconomic literature on the association between COVID-19 and food (in)security in Africa, discussing its implications for food policy and research. In doing so, we highlight some of the methodological weaknesses in answering policy-relevant questions on the causal link between COVID-19 and food insecurity. We also review the various coping strategies households are using to build resilience to COVID-19 and explore the role of social protection and other tools in mitigating some of the negative effects of COVID-19.
This review provides evidence that COVID-19 is associated with food insecurity both ex-ante and ex-durante. There are many attempts to suggest this relationship may be causal with some robust methods in some contexts, but data limitations prevail which constrains causal learning. We also find evidence that income losses, loss of employment, and heightened food prices may be mediating the relationship between COVID-19 and food insecurity. Going further, we additionally review the mitigating role of social protection and remittances in reducing the negative effects of COVID-19 on food insecurity. Relatedly, we also show evidence that households are using various coping strategies such as food rationing and dietary change to cushion themselves against the COVID-19 shock but most of these measures remain adversely correlated with food insecurity. We end with a discussion on some potential interesting areas where future efforts can be geared to improve learning on the relationship between COVID-19, food insecurity, and building resilience to shocks.Non-PRIFPRI1; 1 Fostering Climate-Resilient and Sustainable Food Supply; 3 Building Inclusive and Efficient Markets, Trade Systems, and Food Industry; 4 Transforming Agricultural and Rural EconomiesDSG
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The Impact of Social Assistance Programmes in a Pandemic: Evidence from Kenya
Get PDFThis paper examines whether social protection – in the form of existing social assistance programmes - affects measures of household well-being such as poverty, food security and costly risk-coping behaviour during the COVID-19 pandemic. Using primary data from nationally representative, in-person surveys in Kenya allows the exploration of the impacts of major social assistance programmes. Our analysis employs the doubly robust difference-in-differences approach to estimate the impacts of social assistance programmes on common measures of household welfare. We find that social assistance programmes significantly reduce the prevalence of economic shocks and the further impoverishment of beneficiaries during the pandemic. Furthermore, households with social assistance coverage are less likely to sell assets as a coping strategy. Overall, the results suggest that, during a systematic crisis such as a pandemic, pre-existing social assistance schemes can deliver positive impacts in line with the primary goals of social safety nets and prevent households from falling deeper into poverty by preserving their asset base
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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