13 research outputs found

    Are Emerging Economies FDI Inflows Cointegrated With FDI Inflows of China? An Empirical Investigation

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    Emerging economies viz., Brazil, China, India, Mexico and South Africa have seen a tremendous increase in the FDI inflows in the last one decade. Amongst all, the FDI inflows of China witnessed sharp rise from 1992. As on 2006, China stood as the worldís second largest recipient of FDI inflows (AT Kearney Report, 2006), leaving behind many emerging economies in the race of attracting FDI inflows.http://deepblue.lib.umich.edu/bitstream/2027.42/64423/1/wp904.pd

    ARE EMERGING ECONOMIES FDI INFLOWS COINTEGRATED WITH FDI INFLOWS OF CHINA? – AN EMPIRICAL INVESTIGATION

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    Emerging economies viz., Brazil, China, India, Mexico and South Africa have seen a tremendous increase in the FDI inflows in the last one decade. Amongst all, the FDI inflows of China witnessed sharp rise from 1992. As on 2006, China stood as the world’s second largest recipient of FDI inflows (AT Kearney Report, 2006), leaving behind many emerging economies in the race of attracting FDI inflows.FDI inflows, Emerging economies, China & Cointegration.

    DIRECT FOREIGN INVESTMENTS IN INDIA: POTENTIAL & PERFORMANCE OF FDI INFLOWS FROM UNITED STATES AS STRATEGIC MAJOR INVESTOR

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    In the recent past the US has emerged as one of the top three important trading partners for India (both in terms of Indian exports to and Imports from US). In terms of both its imports and exports, US play a major role. Over the years, the trade between US and India was very much restricted. This was mainly due to India’s proximity towards the former Soviet Union (USSR). Ever since the end of cold war and break up of USSR in 1990-91, a new chapter in trade and investments between India and US started. The trade between US and India has risen sharply in the recent past. This study presents the historical perspective of the trends in FDI inflows in India. In doing so, a detailed descriptive analysis is presented to assess the current trends, patterns of FDI inflows by sector, origin of country and regional comparison. The second part of the study includes constructing FDI potential and performance indices for India and compare with other leading emerging economies for the time period 1970 to 2005. The results reveal that though FDI in India has increased considerably during post reforms period, its position in comparison to other emerging economies is very weak, suggesting that there is still lot of potential for India to compete with its peer group.FDI inflows; Potential; Performance; India

    The Innovation Factor: An Econometric Model of Productivity European Regions

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    This paper emphasizes the importance of the innovation input in the productive process, as a way to maximize the capacity and effectiveness of the labour factor and its productivity. This work describes some of the factors that are enunciated and that condition the existence of good levels of productivity of the factor work, enhancing with special attention the narrow relation between innovation and productivity. In this direction we proceed to the specification of an econometric model, inspired by the Solow Growth Model, with the clear objective of placing in evidence the importance of the technological progress and the growth of productivity in 108 NUTS II regions of the European Union, using for such the expense in Research and Development, as a reference measure.Productivity, Education, Innovation, Regional Development

    Measurement of the W±ZW^{\pm}Z boson pair-production cross section in pppp collisions at s=13\sqrt{s}=13 TeV with the ATLAS Detector

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    The production of W±ZW^{\pm}Z events in proton--proton collisions at a centre-of-mass energy of 13 TeV is measured with the ATLAS detector at the LHC. The collected data correspond to an integrated luminosity of 3.2 fb1^{-1}. The W±ZW^{\pm}Z candidates are reconstructed using leptonic decays of the gauge bosons into electrons or muons. The measured inclusive cross section in the detector fiducial region for leptonic decay modes is σW±Zνfid.=63.2±3.2\sigma_{W^\pm Z \rightarrow \ell^{'} \nu \ell \ell}^{\textrm{fid.}} = 63.2 \pm 3.2 (stat.) ±2.6\pm 2.6 (sys.) ±1.5\pm 1.5 (lumi.) fb. In comparison, the next-to-leading-order Standard Model prediction is 53.42.8+3.653.4^{+3.6}_{-2.8} fb. The extrapolation of the measurement from the fiducial to the total phase space yields σW±Ztot.=50.6±2.6\sigma_{W^{\pm}Z}^{\textrm{tot.}} = 50.6 \pm 2.6 (stat.) ±2.0\pm 2.0 (sys.) ±0.9\pm 0.9 (th.) ±1.2\pm 1.2 (lumi.) pb, in agreement with a recent next-to-next-to-leading-order calculation of 48.21.0+1.148.2^{+1.1}_{-1.0} pb. The cross section as a function of jet multiplicity is also measured, together with the charge-dependent W+ZW^+Z and WZW^-Z cross sections and their ratio

    Search for Scalar Diphoton Resonances in the Mass Range 6560065-600 GeV with the ATLAS Detector in pppp Collision Data at s\sqrt{s} = 8 TeVTeV

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    A search for scalar particles decaying via narrow resonances into two photons in the mass range 65–600 GeV is performed using 20.3fb120.3\text{}\text{}{\mathrm{fb}}^{-1} of s=8TeV\sqrt{s}=8\text{}\text{}\mathrm{TeV} pppp collision data collected with the ATLAS detector at the Large Hadron Collider. The recently discovered Higgs boson is treated as a background. No significant evidence for an additional signal is observed. The results are presented as limits at the 95% confidence level on the production cross section of a scalar boson times branching ratio into two photons, in a fiducial volume where the reconstruction efficiency is approximately independent of the event topology. The upper limits set extend over a considerably wider mass range than previous searches

    Measurements of the Total and Differential Higgs Boson Production Cross Sections Combining the H??????? and H???ZZ*???4??? Decay Channels at s\sqrt{s}=8??????TeV with the ATLAS Detector

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    Measurements of the total and differential cross sections of Higgs boson production are performed using 20.3~fb1^{-1} of pppp collisions produced by the Large Hadron Collider at a center-of-mass energy of s=8\sqrt{s} = 8 TeV and recorded by the ATLAS detector. Cross sections are obtained from measured HγγH \rightarrow \gamma \gamma and HZZ4H \rightarrow ZZ ^{*}\rightarrow 4\ell event yields, which are combined accounting for detector efficiencies, fiducial acceptances and branching fractions. Differential cross sections are reported as a function of Higgs boson transverse momentum, Higgs boson rapidity, number of jets in the event, and transverse momentum of the leading jet. The total production cross section is determined to be σppH=33.0±5.3(stat)±1.6(sys)pb\sigma_{pp \to H} = 33.0 \pm 5.3 \, ({\rm stat}) \pm 1.6 \, ({\rm sys}) \mathrm{pb}. The measurements are compared to state-of-the-art predictions.Measurements of the total and differential cross sections of Higgs boson production are performed using 20.3  fb-1 of pp collisions produced by the Large Hadron Collider at a center-of-mass energy of s=8  TeV and recorded by the ATLAS detector. Cross sections are obtained from measured H→γγ and H→ZZ*→4ℓ event yields, which are combined accounting for detector efficiencies, fiducial acceptances, and branching fractions. Differential cross sections are reported as a function of Higgs boson transverse momentum, Higgs boson rapidity, number of jets in the event, and transverse momentum of the leading jet. The total production cross section is determined to be σpp→H=33.0±5.3 (stat)±1.6 (syst)  pb. The measurements are compared to state-of-the-art predictions.Measurements of the total and differential cross sections of Higgs boson production are performed using 20.3 fb1^{-1} of pppp collisions produced by the Large Hadron Collider at a center-of-mass energy of s=8\sqrt{s} = 8 TeV and recorded by the ATLAS detector. Cross sections are obtained from measured HγγH \rightarrow \gamma \gamma and HZZ4H \rightarrow ZZ ^{*}\rightarrow 4\ell event yields, which are combined accounting for detector efficiencies, fiducial acceptances and branching fractions. Differential cross sections are reported as a function of Higgs boson transverse momentum, Higgs boson rapidity, number of jets in the event, and transverse momentum of the leading jet. The total production cross section is determined to be σppH=33.0±5.3(stat)±1.6(sys)pb\sigma_{pp \to H} = 33.0 \pm 5.3 \, ({\rm stat}) \pm 1.6 \, ({\rm sys}) \mathrm{pb}. The measurements are compared to state-of-the-art predictions

    Search for Higgs and ZZ Boson Decays to J/ψγJ/\psi\gamma and Υ(nS)γ\Upsilon(nS)\gamma with the ATLAS Detector

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    A search for the decays of the Higgs and ZZ bosons to J/ψγJ/\psi\gamma and Υ(nS)γ\Upsilon(nS)\gamma (n=1,2,3n=1,2,3) is performed with pppp collision data samples corresponding to integrated luminosities of up to 20.3fb120.3\mathrm{fb}^{-1} collected at s=8TeV\sqrt{s}=8\mathrm{TeV} with the ATLAS detector at the CERN Large Hadron Collider. No significant excess of events is observed above expected backgrounds and 95% CL upper limits are placed on the branching fractions. In the J/ψγJ/\psi\gamma final state the limits are 1.5×1031.5\times10^{-3} and 2.6×1062.6\times10^{-6} for the Higgs and ZZ bosons, respectively, while in the Υ(1S,2S,3S)γ\Upsilon(1S,2S,3S)\,\gamma final states the limits are (1.3,1.9,1.3)×103(1.3,1.9,1.3)\times10^{-3} and (3.4,6.5,5.4)×106(3.4,6.5,5.4)\times10^{-6}, respectively

    Finska tingsdomares bedömningar av partsutlåtanden givna på plats i rätten eller via videokonferens

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    Professionals within the judicial system sometimes believe they can assess whether someone is lying or not based on cues such as body language and emotional expression. Research has, however, shown that this is impossible. The Finnish Supreme Court has also given rulings in accordance with this demonstrated fact. There has also been previous research on whether party or witness statements are assessed differently in court depending on whether they are given live, via videoconference, or via prerecorded video. In the present study, we investigated how a Finnish sample of district judges (N=47) assigned probative value to different variables concerning the statement or the statement giver, such as body language and emotional expression. We also investigated the connection between the judges’ beliefs about the relevance of body language and emotional expression and their preference for live statements or statements via videoconference. The judges reported assigning equal amounts of probative value to statements given live and statements given via videoconference. However, judges found it easier to detect deception live, and this preference correlated with how relevant they thought body language is when assessing the probative value of the statement. In other words, a slight bias to assess live statements more favorably than statements given via videoconference might still exist. More effort needs to be put into making judges and Supreme Courts aware of robust scientific results that have been the subject of decades of research, such as the fact that one cannot assess whether someone is lying or not based on cues such as body language
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