2,489 research outputs found

    Bodily relations and reciprocity in the art of Sonia Khurana

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    This article explores the significance of the ‘somatic’ and ‘ontological turn’ in locating the radical politics articulated in the contemporary performance, installation, video and digital art practices of New Delhi-based artist, Sonia Khurana (b. 1968). Since the late 1990s Khurana has fashioned a range of artworks that require new sorts of reciprocal and embodied relations with their viewers. While this line of art practice suggests the need for a primarily philosophical mode of inquiry into an art of the body, such affective relations need to be historicised also in relation to a discursive field of ‘difference’ and public expectations about the artist’s ethnic, gendered and national identity. Thus, this intimate, visceral and emotional field of inter- and intra-action is a novel contribution to recent transdisciplinary perspectives on the gendered, social and sentient body, that in turn prompts a wider debate on the ethics of cultural commentary and art historiography

    The Impact of Wind Power Support Schemes on Technology Choices

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    Germany changed renewable remuneration for wind power from a fixed Feed-In Tariff (FIT) to a floating Market Premium Scheme (MPS) in 2012. One aim of this adjustment was to better align the supply of generated wind electricity with the demand for it, e.g. through more system-friendly wind turbine technology choices. In energy systems with a high share of variable renewable energies, such turbines produce a higher share of their production at lower wind speeds and thus can reduce the need for alternative flexibility options like back-up capacity, storage, grid extensions and demand side measures. However, based on a wind power investment model, I show that the MPS fails to convey strong enough incentives to project developers to significantly alter their investment decisions as long as these base their investments on current electricity market price profiles and are limited by their access to risk-averse project finance. One reform proposal to support the installation of system-friendly turbines is a change in the production volume-based benchmark approach which plays an integral part in both the fixed FIT and the MPS. The investment model indicates that such a revised policy can incentivize the deployment of moderately more system-friendly wind power technologies at some locations. An alternative option is to shift to a production value-based benchmark approach. It directly reflects the future additional market value of system-friendly turbines in today's remuneration structure. Thus, this approach sets incentives also for investors without perfect foresight - or with financing constraints - to deploy more systemfriendly turbines that meet the requirements of power systems with increasing shares of wind power

    Forecasting House Prices in Germany

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    In the academic debate there is a broad consensus that house price fluctuations have a substantial impact on financial stability and real economic activity. Therefore, it is important to have timely information on actual and expected house price developments. The aim of this paper is to measure the latest price movements in different real estate markets in Germany and forecast near-term price developments. Therefore we construct hedonic house price indices based on real estate advertisements on the internet platform ImmobilienScout24. Then, starting with a naive AR(p) model as a benchmark, we investigate whether VAR and ARDL models using additional macroeconomic information can improve the forecasting performance as measured by the mean squared forecast error (MSFE). While these models reduce the forecast error only slightly, forecast combination approaches enhance the predictive power considerably.Die Finanz- und Wirtschaftskrise hat erneut gezeigt, dass Preisfluktuationen am Immobilienmarkt nicht nur einen substanziellen Einfluss auf die Finanzmarktstabilität sondern auch auf die gesamtwirtschaftliche Aktivität ausüben. Demnach ist es aus makroökonomischer Sicht wichtig, Immobilienpreisentwicklungen frühzeitig erkennen und akkurat prognostizieren zu können. Ziel dieser Arbeit ist es, Preisentwicklungen für Deutschland in verschieden Segmenten des Immobilienmarktes am aktuellen Rand zu erfassen und für die kurze Frist von bis zu sechs Monaten zu prognostizieren. Basierend auf monatlich verfügbaren Immobilieninseraten auf der Internetplattform von ImmobilienScout24 werden dazu in einem ersten Schritt hedonische Preisindizes gebildet. In einem zweiten Schritt wird die Entwicklung dieser Preisindizes prognostiziert. Beginnend mit einem einfachen AR(p)-Prozess wird der Informationsgehalt verschiedener zusätzlicher Indikatoren mit Hilfe von VAR und ARDL-Modellen untersucht. Während sich der durchschnittliche quadratische Schätzfehler in den einzelnen Modellen im Vergleich zum AR-Modell nur geringfügig verringert, zeigt sich, dass mit Hilfe von geeigneten Prognosekombinationen die Prognosegüte signifikant verbessert werden kann

    Visual processing speed is linked to functional connectivity between right frontoparietal and visual networks

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    Visual information processing requires an efficient visual attention system. The neural theory of visual attention (TVA) proposes that visual processing speed depends on the coordinated activity between frontoparietal and occipital brain areas. Previous research has shown that the coordinated activity between (i.e., functional connectivity and “inter-FC”) cingulo-opercular (COn) and right-frontoparietal (RFPn) networks is linked to visual processing speed. However, how inter-FC of COn and RFPn with visual networks links to visual processing speed has not been directly addressed yet. Forty-eight healthy adult participants (27 females) underwent resting-state (rs-)fMRI and performed a whole-report psychophysical task. To obtain inter-FC, we analyzed the entire frequency range available in our rs-fMRI data (i.e., 0.01–0.4 Hz) to avoid discarding neural information. Following previous approaches, we analyzed the data across frequency bins (Hz): Slow-5 (0.01–0.027), Slow-4 (0.027–0.073), Slow-3 (0.073–0.198), and Slow-2 (0.198–0.4). We used the mathematical TVA framework to estimate an individual, latent-level visual processing speed parameter. We found that visual processing speed was negatively associated with inter-FC between RFPn and visual networks in Slow-5 and Slow-2, with no corresponding significant association for inter-FC between COn and visual networks. These results provide the first empirical evidence that links inter-FC between RFPn and visual networks with the visual processing speed parameter. These findings suggest that direct connectivity between occipital and right frontoparietal, but not frontoinsular, regions support visual processing speed

    Fiskalische Kosten einer steuerlichen Förderung von Forschung und Entwicklung in Deutschland - Eine empirische Analyse verschiedener Gestaltungsoptionen

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    Der Beitrag berechnet die Aufkommensausfälle verschiedener Gestaltungsmodelle für eine steuerliche Forschungsförderung in Deutschland auf Basis eines Mikrosimulationsmodells. Die fiskalischen Kosten betragen zwischen 464 Mio. € und 5.701 Mio. €. Eine Erstattungsoption der Steuergutschrift über die Gewerbe- und Körperschaftsteuerschuld hinaus ist unerlässlich, da sonst etwa ein Drittel der Unternehmen nicht oder nur teilweise in den Genuss der Förderung kommen würde und sich dadurch starke Verzerrungen zwischen ertragsstarken und ertragsschwachen Unternehmen ergeben. Eine Differenzierung der Fördersätze für KMU und große Unternehmen kann die Aufkommensausfälle wirksam begrenzen. Eine Kappungsgrenze in Höhe eines absoluten Betrages ist wegen der Verzerrungen innerhalb der Gruppe großer Unternehmen ungünstig. Als besonders pragmatisch erscheint eine Verrechnung der Steuergutschrift mit der abzuführenden Lohnsteuer

    Milestones and Impact Factors

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    Environmental Health has just received its first Impact Factor by Thomson ISI. At a level of 2.48, this achievement is quite satisfactory and places Environmental Health in the top 25% of environmental science journals. When the journal was launched in 2002, it was still unclear whether the Open Access publishing model could be made into a viable commercial enterprise within the biomedical field. During the past eight years, Open Access journals have become widely available, although still covering only about 15% of journal titles. Major funding agencies and institutions, including prominent US universities, now require that researchers publish in Open Access journals. Because of the profound role of scientific journals for the sharing of results and communication between researchers, the advent of Open Access may be of as much significance as the transition from handwriting to printing via moveable type. As Environmental Health is an electronic Open Access journal, the numbers of downloads at the journal website can be retrieved. The top-20 list of articles most frequently accessed shows that all of them have been downloaded over 10,000 times. Back in 2002, the first article published was accessed only 49 times during the following month. A year later, the server had over 1,000 downloads per month, and now the total number of monthly downloads approaches 50,000. These statistics complement the Impact Factor and confirm the viability of Open Access in our field of research. The advent of digital media and its decentralized mode of distribution - the internet - have dramatically changed the control and financing of scientific information dissemination, while facilitating peer review, accelerating editorial handling, and supporting much needed transparency. Both the meaning and means of "having an impact" are therefore changing, as will the degree and way in which scientific journals remain "factors" in that impact

    Public art today. How public art sheds light on the future of the theory of commons

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    Public art and common goods, although belonging to apparently distant realms of inquiry, share a long history and, inevitably, an evolving meaning. This chapter investigates the evolution of the practice of public art with the objective to obtain a viable understanding of how the value of public art is produced today. With a focus on the future of public art, this chapter investigates three public art cases. The results of the qualitative analysis of these public art experiences are interpreted from an institutional economics perspective. The combination of public art and the theory of commons sheds light on what seems to be the most important attributes of common goods in the current debate, that is the social practices that constitute the act of making the commons.</p

    The Threat of Capital Drain: A Rationale for Public Banks?

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    This paper yields a rationale for why subsidized public banks may be desirable from a regional perspective in a financially integrated economy. We present a model with credit rationing and heterogeneous regions in which public banks prevent a capital drain from poorer to richer regions by subsidizing local depositors, for example, through a public guarantee. Under some conditions, cooperative banks can perform the same function without any subsidization; however, they may be crowded out by public banks. We also discuss the impact of the political structure on the emergence of public banks in a political-economy setting and the role of interregional mobility

    Weather, the Forgotten Factor in Business Cycle Analyses

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    In periods of unusual weather, forecasters face a problem of interpreting economic data: Which part goes back to the underlying economic trend and which part arises from a special weather effect? In this paper, we discuss ways to disentangle weather-related from business cycle-related influences on economic indicators. We find a significant influence of weather variables at least on a number of monthly indicators. Controlling for weather effects within these indicators should thus create opportunities to increase the accuracy of indicator-based forecasts. Focusing on quarterly GDP growth in Germany, we find that the accuracy of the RWI short term forecasting model improves but advances are small and not significant
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