1,720,956 research outputs found

    Islamic Bank Financing and Its Effects on Economic Growth: A Cross Province Analysis

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    Industri perbankan syariah menunjukkan perkembangan yang cukup baik, salah satunya ditandai dengan peningkatan cakupan layanan di hampir semua provinsi di Indonesia. Namun, pertanyaannya adalah sejauh mana perbankan syariah mampu berkontribusi pada peningkatan pertumbuhan ekonomi Indonesia? Tujuan dari penelitian ini adalah untuk menguji peran perbankan syariah dalam mempromosikan pertumbuhan ekonomi inklusif dengan sampel dari 33 provinsi di Indonesia. Metode yang digunakan dalam penelitian ini adalah regresi data panel menggunakan model efek tetap. Hasil penelitian menunjukkan bahwa pembiayaan bank syariah tidak berdampak pada pertumbuhan ekonomi Indonesia. Dengan kata lain, hasil penelitian memberikan informasi bahwa keberadaan perbankan syariah di Indonesia belum memberikan dampak yang signifikan terhadap kesejahteraan masyarakat Indonesia

    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

    DETERMINAN INFLASI DARI SISI SUPPLY (COST-PUSH INFLATION) DI INDONESIA

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    Abstract: This research aims to analyze the determinants of inflation from supply side (cost-push inflation) in Indonesia. The dependent variable used is the CPI inflation while, the independent variable in the form of fuel prices, the exchange rate of Rupiah, nominal wages, and the BI Rate. The data used in this research is a monthly for the period 2008:1-2014:12 the SDDS derived from BI and Statistics of Ministry of Energy and Mineral Resources. The estimation tool used in this research is the Vector Error Correction Model (VECM) using the help of EViews 7.0.0.1. Estimation results show that in the short term the variable CPI inflation itself, fuel prices, the exchange rate of the Rupiah, and the nominal wage effect significantly to CPI inflation in Indonesia. While, the BI Rate, variable have no effect significantly to CPI inflation. In the long term, the results of the estimation shows that the variable fuel prices, the exchange rate of the Rupiah, and the BI Rate effect significantly to CPI inflation. While the nominal wage, the variable have no effect significantly to CPI inflation in the long run. VECM estimation results in this research also generates important analysis, namely the IRF (Impulse Response Function) and VDC (Variance Decomposition). Abstrak: Studi ini bertujuan untuk menganalisis determinan inflasi dari sisi supply (cost-push inflation) di Indonesia. Variabel dependen yang digunakan adalah inflasi IHK sedangkan, variabel independen berupa harga BBM, nilai tukar Rupiah, upah nominal, dan BI Rate. Data yang digunakan dalam studi ini adalah bulanan selama periode 2008:1-2014:12 yang bersumber dari SDDS BI dan Statisik Harga BBM Kementrian ESDM. Alat estimasi yang digunakan dalam studi ini adalah Vector Error Correction Model (VECM) menggunakan bantuan EViews 7.0.0.1. Hasil estimasi menunjukkan bahwa dalam jangka pendek variabel inflasi IHK itu sendiri, harga BBM, nilai tukar Rupiah, dan upah nominal berpengaruh signifikan terhadap inflasi IHK di Indonesia. Sedangkan, variabel BI Rate tidak berpengaruh signifikan terhadap inflasi IHK. Dalam jangka panjang, hasil estimasi menunjukkan bahwa variabel harga BBM, nilai tukar Rupiah, dan BI Rate berpengatuh signifikan terhadap inflasi IHK. Sedangkan, variabel upah nominal tidak berpengaruh signifikan terhadap inflasi IHK dalam jangka panjang. Hasil estimasi VECM dalam studi ini juga menghasilkan analisis penting, yaitu IRF (Impulse Response Function) dan VDC (Variance Decomposition)

    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

    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

    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

    Author Index

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