1,720,981 research outputs found
The role of renewable energy and natural resources for sustainable agriculture in ASEAN countries: Do carbon emissions and deforestation affect agriculture productivity?
No full textThe adoption of Sustainable Development Goals (SDG) in 2015 shifted the attention towards sustainability-related concerns in both developing and developed counties. The aim of this paper is to examine how agricultural productivity – a key driver in achieving many of these SDGs – is affected by carbon emissions, deforestation, renewable energy consumption, natural resources, and regional integration for the ten Association of Southeast Asian Nations (ASEAN) countries. Using the Mean Group (MG) class estimators, able to tackle the cross-sectional dependence in the data, empirical findings reveal that environmental degradation (in the form of CO2 emissions) reduces agricultural productivity in the region. Both the forest area and natural resource variables negatively affect the productivity of the agricultural sector, while the use of renewable energy sources positively contributes to the agricultural sector. However, despite being one of the highest integrated regions in the world, regional integration among the ASEAN members does not boost their agricultural productivity. The causality tests confirm the existence of bidirectional causality between agricultural productivity and renewable energy consumption, and unidirectional causality across a few other variables. Accordingly, the study provides policy recommendations for the governments of ASEAN economies on improving the environmental performance of agriculture and achieving the SDGs by 2030
Suppression of Wolbachia mediated Cytoplasmic Incompatibility
Full text linkInsect biocontrol applications often hinge upon insect reproduction. Wolbachia are maternally inherited intracellular bacteria that infect insects. Wolbachia sterilizes a mosquito sperm resulting in a lethal embryonic phenotype called cytoplasmic incompatibility (CI), wherein eggs from un-infected females fail to develop when fertilized from Wolbachia-infected males. Contrary to this, if males and females both are infected, embryos are viable. The molecular mechanism of CI involves Wolbachia deubiquitylating enzyme CidB and its cognate partner antidote, CidA.
In CHAPTER II, the process of identifying potential molecular targets and suppressors of Wolbachia’s CidB is described. By finding alleles capable of suppressing CI, we will gain insights into the molecular pathways targeted by CidB. In toto, we propose that CidB targets Kap-α, nuclear-protein import, and P32, protamine-histone exchange to induce CI.
The next question was whether CidB cleaves ubiquitin directly off Kap-α or P32 to induce CI. In CHAPTER III, functional mutations and genetic modifications in these two genes were explored to test the role of these two genes in the suppression of CI in Drosophila. The work done here is important for two reasons, firstly, they provide hints toward pathways targeted by CI. Secondly, these genes might co-evolve as resistance factors to CI. Importantly, suppression of CI in vectors will reduce the effectiveness of global mosquito control efforts harnessing Wolbachia and CI
IMPACT OF MACRO-ECONOMIC INDICATORS ON FDI INFLOWS IN EMERGING ECONOMIES: EVIDENCE FROM BRICS
No full textThis paper focuses on the macroeconomic performance of BRICS and the factors determining FDI inflows to BRICS. To understand the characteristics of FDI inflow in BRICS the paper takes FDI Inflow and Portfolio Equity as the dependent variables reflecting the FDI inflow to BRICS. The impact of nine important macroeconomic factors including GDP growth rate, GDP per capita growth rate, GNI growth rate, GNI per capita growth, Gross National Expenditure, Consumer Price Index, Inflation rate, Market capitalization of listed companies and total value of stocks traded is studied on the dependent variables. Secondary data for the period ranging from 1994 to 2011 has been used for these variables. The study uses descriptive statistics including mean, median, standard deviation, correlation, skewness and kurtosis to get insights into the data. Correlation analysis and the Ordinary Least Square method of regression is used to understand the relationship between variables. The paper finds that two common determinants of FDI inflow in India and Russia are GDP growth and GDP per capita growth. Another determining factor in case of Russia is GNI per capita (Atlas method). In case of China the determining factors are GNI-Growth and Gross National Expenditure. However, the study finds no significant factors determining FDI inflows in Brazil and South Africa
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
35th Australian and New Zealand Academy of Management Conference (ANZAM 2022)
No full textDespite extensive research on the relationship between financial inclusion and macroeconomic performance, little is known about the role of financial inclusion as a significant driver of macroeconomic performance in developing countries. Financial inclusion is important for a country's growth because it means that everyone can get financial services when they need them at a price they can afford. It makes it easy for people to keep their savings safe, get loans, cover their risks with different types of insurance, and do other things that make people's lives easier and help the most vulnerable people in society. The research explores the influence of key indicators of financial inclusion on developing countries' macroeconomic performance. The research shows that digital finance, financial technologies, financial outreach, financial literacy, demographics access to finance, microfinance and financial stability are all ways that financial inclusion affects macroeconomic performance. The authors used the Scopus database to get information from 419 research articles and performed bibliometric analysis to figure out how financial inclusion affected macroeconomic performance from 2006 to 2020. The study will help policymakers, governments and marketers come up with policies to involve everyone in the financial system, which resulting macroeconomic performance
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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