1,720,958 research outputs found

    Factors Affecting Agricultural Sector Growth in Pakistan: A Structural Vector Auto Regression (SVAR) Analysis

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    This research study followed structural vector auto regression (SVAR) approach proposed by the so-called AB-model of Amisano and Giannini (1997) to find out relevant macroeconomic determinants of agricultural sector growth in Pakistan. Before that ARDL bound testing and TVP approach with general to specific approach were employed to get relevant significant determinants of economic growth. To best of our knowledge no author made such a study in empirical literature that employed above mentioned estimation techniques but current study will bridge this gap. Annual data was taken from World Development Indicators (2014) during period 1976-2014. Akaike information criterion and Schwarz information criterion were considered for the lag length in each estimated equation. Gross fixed capital formation, gross national expenditures, permanent crop land and remittances lead to increase the agricultural sector growth while a positive shock on inflation and population lead to decrease the agricultural sector growth.Based on these empirical findings, we conclude that government should focus on variables augmenting agricultural sector growth while formulating any policy relevant to the concerned sector. Keywords: Structural VAR, Time varying parametric approach, Remittances, economic growth, gross national expenditures and inflation

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Determinants of Services Sector Growth in Pakistan: A Time Varying Parametric Approach

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    This empirical study followed time varying parametric approach to find out relevant macroeconomic determinants of Pakistan’s services sector growth. Annual data was taken from World Development Indicators (2014) during period 1976-2014. Main findings of the study are that rolling regression estimates of explanatory variables justify the use of Kalman filtering approach. The state space results indicate that Table 6.4 shows that inflation has negative and significant effect on services sector output growth at five percent significance level. Net foreign direct investment has positive and significant effect on services sector output growth. Gross national expenditures with positive effect are the relevant significant determinants of services sector output growth at five percent significance level.  Evidence proved that structural changes affect the static results. For effective policy making, it is necessary to employ time varying parametric approach to study the behavior of economy in real sense. Based on empirical findings, it is recommended to concerned authorities to augment gross national expenditures, foreign direct investment and control inflation to achieve long run economic growth in country. Some of the results have been changed when we apply time varying parametric approach like Kalman Filter approach instead of static approach like Auto Regressive Distributive Lag. Keywords: Kalman Filter, rolling regression, inflation, foreign direct investment, gross national expenditure

    Variations on the Author

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    “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

    Determinants of Industrial Sector Growth in Pakistan

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    Basic purpose to make this study was to find out the determinants of industrial sector growth in Pakistan. Factors were collected from the existing empirical literature. Neo classical model of economic growth was followed and autoregressive distributed lag (ARDL) method of estimation was applied to calculate the results. Augmented Dickey Fuller test was applied to check the presence of unit root in the time series data. Annual data from 1976 to 2014 was chosen to make the analysis. Trade (% of GDP) and Personal remittances, received (% of GDP) showed positive and significant association with Industry, value added (% of GDP) and lag value of industry, value added(% of GDP) showed negative and significant relationship with Industry, value added (% of GDP) in long run. But in short run, differenced lag value of industry, value added (% of GDP) showed negative and significant association with Industry, value added (% of GDP). The remaining variables did not show significant association with industrial growth. Wald test was applied on the long run variables to calculate F.statistic. Calculated F.statistic is higher than both the Pesaran et al. (2001) and Narayan (2004) upper bound critical values at 5% level of significance. Diagnostic test of correlation was conducted through Lagrange Multiplier (LM) test: LM(-1)=2.93(0.10). LM test confirmed that there was no serial correlation. The stability of the model for long run and short run relationship is detected by using the cumulative sum of recursive residuals (CUSUM) that resulted in the stable relationship. Keywords: Industrial sector, Trade, Remittances, ARDL, Wald test, LM test, CUSUM.

    Appropriate Similarity Measures for Author Cocitation Analysis

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    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

    Determinants of Agricultural Sector Growth in Pakistan: A Time Varying Parametric Approach

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    This study followed time varying parametric approach with general to specific to find out the determinants of agricultural sector output growth in Pakistan. No such research study was found out in empirical literature that could collect relevant determinants of agricultural sector to employ time varying parametric approach. Annual data was taken from World Development Indicators (2014) from period 1976 to 2014. Rolling regression estimates of explanatory variables justify the use of Kalman filtering approach. The state space results indicate that gross fixed capital formation, permanent cropland and remittances receipt adversely affects agricultural sector growth. Whereas, gross national expenditure is directly related to agricultural sector growth. These findings recommend to enlarge gross national expenditures and motivate investors to make investments in agricultural sector. Farmers should be given incentives to cultivate cash crops for better profits. Keywords: Kalman Filter, rolling regression, gross national expenditure, agricultural sector growth JEL Classification: E22, E51, F41. 

    Dispelling the Myths Behind First-author Citation Counts

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    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

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