How are Journal Impact, Prestige and Article Influence Related? An Application to Neuroscience

The paper analyses the leading journals in Neurosciences using quantifiable Research Assessment Measures (RAM), highlights the similarities and differences in alternative RAM, shows that several RAM capture similar performance characteristics of highly cited journals, and shows that some other RAM have low correlations with each other, and hence add significant informational value. Alternative RAM are discussed for the Thomson Reuters ISI Web of Science database (hereafter ISI). The RAM that are calculated annually or updated daily include the classic 2-year impact factor (2YIF), 5-year impact factor (5YIF), Immediacy (or zero-year impact factor (0YIF)), Eigenfactor score, Article Influence score, C3PO (Citation Performance Per Paper Online), h-index, Zinfluence, PI-BETA (Papers Ignored - By Even The Authors), 2-year and historical Self-citation Threshold Approval Ratings (STAR), Impact Factor Inflation (IFI), and Cited Article Influence (CAI). The RAM are analysed for 26 highly cited journals in the ISI category of Neurosciences. The paper finds that the Eigenfactor score and PI-BETA are not highly correlated with the other RAM scores, so that they convey additional information regarding journal rankings, that Article Influence is highly correlated with some existing RAM, so that it has little informative incremental value, and that CAI has additional informational value to that of Article Influence. Harmonic mean rankings of the 13 RAM criteria for the 26 highly cited journals are also presented. Emphasizing the 2-year impact factor of a journal to the exclusion of other informative RAM criteria is shown to lead to a distorted evaluation of journal performance and influence, especially given the informative value of several other RAM.prestige;IFI;PI-BETA;STAR;eigenfactor;h-index;immediacy;zinfluence;C3PO;impact factor;article Influence;cited article influence

What Makes a Great Journal Great in Economics? The Singer Not the Song.

The paper is concerned with analysing what makes a great journal great in economics, based on quantifiable measures. Alternative Research Assessment Measures (RAM) are discussed, with an emphasis on the Thomson Reuters ISI Web of Science database (hereafter ISI). The various ISI RAM that are calculated annually or updated daily are defined and analysed, including the classic 2-year impact factor (2YIF), 5-year impact factor (5YIF), Immediacy (or zero-year impact factor (0YIF)), Eigenfactor score, Article Influence, C3PO (Citation Performance Per Paper Online), h-index, Zinfluence, PI-BETA (Papers Ignored - By Even The Authors), and two new RAM measure, the Self-citation Threshold Approval Rating (STAR) score and the Impact Factor Inflation (IFI) score. The ISI RAM data are analysed for the most highly cited journals in the ISI categories of Economics, Management, Business, and Business - Finance. The journals are chosen on the basis of 2YIF (including self citations by both author and journal). The application to these four ISI categories could be used as a template for other ISI categories in both the Social Sciences and the Sciences, and as a benchmark for newer journals in a range of ISI disciplines. In addition to evaluating high quality research in the most highly cited Economics journals, the paper also compares the most highly cited journals in Management, Business, and Business - Finance, alternative RAM, highlights the similarities and differences in alternative RAM criteria, finds that several ISI RAM capture similar performance characteristics for the most highly cited Economics, Management, Business and Business - Finance journals, determines that the Immediacy and PI-BETA scores are not highly correlated with the other ISI RAM, and hence conveys additional information regarding ISI RAM criteria. Harmonic mean rankings of the 12 RAM criteria for the most highly cited journals in the four categories are also presented. It was shown that emphasizing THE impact factor, specifically the 2-year impact factor, of a journal to the exclusion of other useful and illuminating RAM criteria, can lead to a distorted evaluation of journal performance and influence on the profession.IFI;PI-BETA;STAR;article influence;eigenfactor;h-index;immediacy;impact factors;measures;research assessment;zinfluence;C3PO

How does Zinfluence Affect Article Influence?

For financial support, the first author acknowledges the National Science Council, Taiwan; the second author acknowledges the Australian Research Council, National Science Council, Taiwan, a Visiting Erskine Fellowship, College of Business and Economics, University of Canterbury, and the Japan Society for the Promotion of Science; and the third author acknowledges the Royal Society of New Zealand, Marsden Fund.IFI;PI-BETA;STAR;article influence;eigenfactor;h-index;immediacy;impact factors;zinfluence;C3PO;cited article influence

China's energy economy: a survey of the literature

RePECThis paper reviews literature on China’s energy economics, focusing especially on: i) the relationship between energy consumption and economic growth, ii) China’s changing energy intensity, iii) energy demand and energy -capital and -labor substitution, iv) the emergence of energy markets in China, vi) and policy reforms in the energy industry. After reviewing the literature, the study presents the main findings and suggests some topics for further study

Generation X leaders from London, New York and Toronto

Inspired by scholarly calls to focus more intently on the influence of context on leaders’ construction and negotiation of identity, this paper draws on evidence from our Economic and Social Research Council (ESRC) project in London, New York City and Toronto. Throughout the paper, we strive to illuminate how the city-based context influences how race/ethnicity is experienced and described. We use social identity theory, organisational fit and in-group prototypes to frame school leaders’ explicit discuss race/ethnicity when reflecting on identity. We describe our data gathering process using our Professional Identity card-sort Tool, which guided leaders’ reflections on identity. The analysis details how we extracted and interpreted evidence from leaders who were explicit about the interrelationship between their own personal racial/ethnic identification and its alignment or misalignment with their school-level communities. We explore how different city contexts influence leader experience of in-groups and out-groups and the related leadership challenges and opportunities. In conclusion, we reflect on the influence that structures, policies and communities have on how leaders experience identity and the possible implications for their work. We also explore the value of attending to potential context-based identity-driven experiences for school leader development and support

How does Zinfluence Affect Article Influence?

For financial support, the first author acknowledges the National Science Council, Taiwan; the second author acknowledges the Australian Research Council, National Science Council, Taiwan, a Visiting Erskine Fellowship, College of Business and Economics, University of Canterbury, and the Japan Society for the Promotion of Science; and the third author acknowledges the Royal Society of New Zealand, Marsden Fund

Modelling and Simulation: An Overview

The papers in this special issue of Mathematics and Computers in Simulation cover the following topics: improving judgmental adjustment of model-based forecasts, whether forecast updates are progressive, on a constrained mixture vector autoregressive model, whether all estimators are born equal: the empirical properties of some estimators of long memory, characterising trader manipulation in a limit-order driven market, measuring bias in a term-structure model of commodity prices through the comparison of simultaneous and sequential estimation, modelling tail credit risk using transition matrices, evaluation of the DPC-based inclusive payment system in Japan for cataract operations by a new model, the matching of lead underwriters and issuing firms in the Japanese corporate bond market, stochastic life table forecasting: a time-simultaneous fan chart application, adaptive survey designs for sampling rare and clustered populations, income distribution inequality, globalization, and innovation: a general equilibrium simulation, whether exchange rates affect consumer prices: a comparative analysis for Australia, China and India, the impacts of exchange rates on Australia's domestic and outbound travel markets, clean development mechanism in China: regional distribution and prospects, design and implementation of a Web-based groundwater data management system, the impact of serial correlation on testing for structural change in binary choice model: Monte Carlo evidence, and coercive journal self citations, impact factor, journal influence and article influence

Upwind impacts of ammonia from an intensive poultry unit

This study investigated potential ammonia impacts on a sand dune nature reserve 600 m upwind of an intensive poultry unit. Ammonia concentrations and total nitrogen deposition were measured over a calendar year. A series of ammonia and nitrogen exposure experiments using dune grassland species were conducted in controlled manipulations and in the field. Ammonia emissions from the intensive poultry unit were detected up to 2.8 km upwind, contributing to exceedance of critical levels of ammonia 800 m upwind and exceedance of critical loads of nitrogen 2.8 km upwind. Emissions contributed 30% of the total N load in parts of the upwind conservation site. In the nitrogen exposure experiments, plants showed elevated tissue nitrogen contents, and responded to ammonia concentrations and nitrogen deposition loads observed in the conservation site by increasing biomass. Estimated long-term impacts suggest an increase in the soil carbon pool of 9% over a 50-year timescale

Journal Impact Factor, Eigenfactor, Journal Influence and Article Influence

This paper examines the practical usefulness of two new journal performance metrics, namely the Eigenfactor score, which may be interpreted as measuring “Journal Influence”, and the Article Influence score, using the Thomson Reuters ISI Web of Science (hereafter ISI) data for 2009 for the 200 most highly cited journals in each of the Sciences and Social Sciences, and compares them with two existing ISI metrics, namely Total Citations and the 5-year Impact Factor (5YIF) of a journal (including journal self citations). It is shown that the Sciences and Social Sciences are different in terms of the strength of the relationship of journal performance metrics, although the actual relationships are very similar. Moreover, the journal influence and article influence journal performance metrics are shown to be closely related empirically to the two existing ISI metrics, and hence add little in practical usefulness to what is already known. These empirical results are compared with existing results in the literature

Extreme Value GARCH modelling with Bayesian Inference

RePEC Working Paper Series No: 05/2009Extreme value theory is widely used financial applications such as risk analysis, forecasting and pricing models. One of the major difficulties in the applications to finance and economics is that the assumption of independence of time series observations is generally not satisfied, so that the dependent extremes may not necessarily be in the domain of attraction of the classical generalised extreme value distribution. This study examines a conditional extreme value distribution with the added specification that the extreme values (maxima or minima) follows a conditional autoregressive heteroscedasticity process. The dependence has been modelled by allowing the location and scale parameters of the extreme distribution to vary with time. The resulting combined model, GEV-GARCH, is developed by implementing the GARCH volatility mechanism in these extreme value model parameters. Bayesian inference is used for the estimation of parameters and posterior inference is available through the Markov Chain Monte Carlo (MCMC) method. The model is firstly applied to relevant simulated data to verify model stability and reliability of the parameter estimation method. Then real stock returns are used to consider evidence for the appropriate application of the model. A comparison is made between the GEV-GARCH and traditional GARCH models. Both the GEV-GARCH and GARCH show similarity in the resulting conditional volatility estimates, however the GEV-GARCH model differs from GARCH in that it can capture and explain extreme quantiles better than the GARCH model because of more reliable extrapolation of the tail behaviour