1,720,954 research outputs found
Funding the Nigerian Agricultural Sector for Improved Performance: The Role of Migrant Workers’ Foreign Remittances Inflows
Although there is a plethora of empirical evidence on the impact of foreign remittances inflows on economic growth in Nigeria, there are few studies that investigated the impact of foreign remittances on agricultural sector performance in the country. This study therefore examined the impact of funding on the performance of the agricultural sector in Nigeria with emphasis on the role of foreign remittances inflows. Specifically, the study investigated the impact of foreign remittances inflows, government expenditure on agriculture, bank credit to agriculture, the Agricultural Credit Guarantee Scheme Fund, and exchange rate on agricultural sector output performance in Nigeria. Exchange rate was used as a control variable. The Johansen co-integration test, Error Correction Mechanism (ECM), and Granger causality test were used to estimate the annual time-series data for the period of 1981 to 2021. The findings from the study revealed that foreign remittances inflows, government expenditure on agriculture, and loans guaranteed under the Agricultural Credit Guarantee Scheme Fund (ACGSE) have significant positive impact on agricultural sector performance. On the other hand, bank credits to agriculture and exchange rate have insignificant negative impact on agricultural sector performance. Among other things, it is recommended that recipients of foreign remittances in Nigeria should be encouraged to invest more in the agricultural sector
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Variations on the Author
“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
We 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
We 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
Budget Deficit Financing and the Nigeria Economy
The disagreement over the impact of budget deficit financing on macroeconomic variable is a key part of the controversies between the classical cum monetarist and Keynesian economists. Besides, empirical studies on the issue are yet to settle the debate. This paper is an attempt to provide empirical evidence on the relationship between deficit financing and selected macroeconomic variables in Nigeria. The study examined the sources of financing the overall budget deficits and their impact on the selected variables. Thus, the study identify External loans (EXT), Domestic Banking System (DBS), Non-Bank Public (NBP) and Other Sources (OS) as the sources of financing budget deficit in Nigeria. The effect of deficits financed from these sources were examined on selected macroeconomic variables, namely: economic growth (proxied by real GDP); Inflation Rate (INFR) and Unemployment Rate (UNPR). Annual time-series data on these variables from 1981-2013 were obtained from central Bank of Nigeria (CBN) statistical Bulletin for 2013. The ordinary least squares (OLS) method of the multiple regressions analysis was used to estimate the model while our computing device was the statistical package for social sciences (SPSS). The following were the conclusions from the study: that deficits financed from external loans have insignificant negative influence on economic growth while deficits financed from domestic sources (e.g. DBS and NBP) stimulate economic growth in Nigeria; that irrespective of the source, deficit financing have no significant influence on inflation, and that, domestic sources of financing deficits aggravate unemployment in Nigeria. It is recommended, among other things, that Nigeria should diversify and broaden its revenue base so as to reduce the country’s vulnerability to negative shocks from oil revenue, and so as not to resort to deficit budgeting. Keywords: Budget deficit financing, economic growth, inflation, unemploymen
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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