1,721,224 research outputs found
Green TFP Intensity Impact on Sustainable East Asian Productivity Growth (Elsadig Musa Ahmed)
Full text linkThis study aims at assessing the effect of carbon dioxide (CO2) per unit of worker (intensity) emissions growth on productivity growth on selected 5 countries of Association of Southeast Asian Nations, (ASEAN5), Malaysia, Indonesia, Philippines, Singapore and Thailand, plus 3 East Asian Countries (China, Japan and South Korea). The results show that there was difference in the contribution of labour productivity, capital deepening and CO2 intensity emissions whether CO2 intensity emissions was included or not in the model. There were, however differences in the growth rates of total factor productivity (TFP) intensity growth. Moreover, a significant decline in the growth rates of TFP intensity growth was observed during the entire period of the study and sub periods, when CO2 intensity emissions variable was internalised in the model. The CO2 intensity emissions had impacted the productivity growth through the declining contribution of green TFP intensity growth in comparison with conventionally calculatedASEAN-5 plus 3; CO2 intensity emissions; green TFP intensity; productivity growth.
In-service training in the Sudan the role of the Institute of Public Administration - by Musa Ahmed Adam
No full textThesis (M.A.)--Dept. of Political Studies and Public Administration, A.U.B.Bibliography: leaves 100-105
Air pollutants in Malaysia: the contribution of economic growth towards it / Halimahton Borhan and Elsadig Musa Ahmed
Full text linkIt is possible to distinguish three main channels whereby income growth affects the quality of the environment as first suggested by Grossman (1995). They are firstly, a scale effect, secondly a composition effect and thirdly, technological progress. A recent research criticism by Cole (2003 and 2004) of the environmental Kuznets curve hypothesis is based on the occurrence of foreign direct investment and international trade. In the previous EKC literature, EKC is always estimated in the form of a single equation. However, since both income and environmental quality are endogenous variables in which they impact upon each other, therefore the estimation of single equation relationships where simultaneity exists will produce biased and inconsistent estimates. The general objective of this study is to measure the relationship between economic growth and different indicators of air pollution in Malaysia. Air pollution indicators were assessed on a number of measures: Carbon Monoxide (CO), Sulphur Dioxide (SO,), Nitrogen Dioxide (NO), Ozone (O,) and Particulate Matter (PM]0). The income level per capita GDP (Gross Domestic Product) were measured from the year 1996 to 2006 quarterly. This study contributes to the available literature by Hung et al (2004) and Shen (2006) by adopting the model and extending it to include variables such as the number of motor vehicles, foreign direct investment and government spending. Being different from the study by Hung et al (2004) and Shen (2006), this study estimates population density as an endogenous variable. It formulates a four-equation simultaneous model for empirical research. It is testing for exogeneity using the Hausman test and estimates the simultaneity model using the two-stages least squares method. The EKC hypothesis is supported in the cases of SO, and PM and there are several differences found between single polynomial equation estimators commonly used in EKC literatures and simultaneous equation estimators
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
Pollution as one of the determinants of income in Malaysia: comparison between single and simultaneous equation estimators of an EKC / Halimahton Borhan and Elsadig Musa Ahmed
Full text linkThis study aims to examine the relationship between economic growth and different indicators of air and water pollution in Malaysia. Air pollution indicators were assessed on a number of measures: carbon monoxide, sulphur dioxide (SO2), nitrogen dioxide, ozone and particulate matter (PM 10); while water pollution indicators is evaluated based on a number of measures: biochemical oxygen demand, cadmium and arsenic. The income level per capita gross domestic product per capita were measured from the year 1996 to 2006 quarterly. Being different from the study by Hung and Shaw (2004) and Shen (2006), this study estimates population density as an endogenous variable. It formulates a four-equation simultaneous model for empirical research. Hausman test is utilized to test for exogeneity and the two-stages least squares method is used to estimate the simultaneity model. The Environmental Kuznets Curve (EKC) hypothesis is supported in the cases of SO2 and PM 10, and there are several differences found between single polynomial equation estimators commonly used in EKC literatures and simultaneous equation estimators
Pollution acts as one of the determinants of government pollution abatement expenses in Malaysia: using a simultaneity approach / Halimahton Borhan and Elsadig Musa Ahmed
Full text linkA major worldwide problem is pollution. It causes death, develops health problems and exasperates existing health problems. Pollution is also creditworthy for a broad kind of environmental problems. All these effects imply substantial economic costs. Pollution abatement turns increasingly significant as these costs get widely acknowledge. The aims of this study are to examine the relationship between economic growth and different indicators of air and water pollution in Malaysia and to investigate the determinants of government pollution abatement expenses using a simultaneous equation method. Air pollution indicators were assessed on a number of measures: Carbon Monoxide (CO), Sulphur Dioxide (SO2), Nitrogen Dioxide (NO,), Ozone (O3), Particulate Matter (PM10) and Suspended Particulate Matter (SPM). Water pollution indicators were assessed on a number of measures: Biochemical oxygen demand (BOD), Cadmium (CD) and Arsenic (AS). The income level per capita, GDP (Gross Domestic Product) per capita were measured from the year 1996 to 2006 quarterly. This study contributes to the available literature by Hung et al (2004) and Shen (2006) by adopting the model and expanding it to include variables such as the number of motor vehicles, foreign direct investment, and government spending, secondary industry share and government pollution abatement expenses. Being different from the study by Hung et al (2004) and Shen (2006), this study estimates population density as an endogenous variable. It formulates a four-equation simultaneous model for empirical research. It is testing for exogeneity using the Hausman test and estimates the simultaneity model using the two-stages least squares method. The EKC hypothesis is supported in the cases of SO, O, CD and BOD. The simultaneity exists for all the indicators of air and water pollutants except for NO2 and AS. There are several differences found between single polynomial equation estimators commonly used in EKC literatures and simultaneous equation estimators. Most of the pollutant indicators showing a highly significant effect on government pollution abatement expenses except for NO, and BOD
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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