Global University (GU)

About: Global University (GU) is a education organization based out in Beirut, Lebanon. It is known for research contribution in the topics: Population & Computer science. The organization has 910 authors who have published 1589 publications receiving 8622 citations.

Mars-Venus Marriages: Culture and Cross-Border M&A

Abstract: We explore factors affecting the long-term performance of cross-border M&A, with a special focus on cultural distance between the countries of the two firms. Using a sample of over 400 cross-border acquisitions in the period 1991-2000, we find that contrary to general perception, cross-border acquisitions perform better in the long-run if the acquirer and the target come from countries that are culturally more disparate. We use the Hofstede measure of cultural dimensions to define cultural distance and also examine alternative measures such as language, religion and legal origin to capture cultural differences. The positive effect of cultural distance persists after controlling for several deal-specific variables and country-level fixed effects, and is robust to alternative specifications and horizons of long-term performance. Divergence (convergence) in degree of individualism and hierarchy in power structures (attitudes towards uncertainty)beneficially impacts post-acquisition performance. Among deal characteristics, cash and friendly acquisitions tend to perform better in the long-run. There is also some evidence of synergies when acquirers from stronger corporate governance regimes acquire targets from weaker regimes.

Financing Firms in India

Abstract: With extensive cross-country datasets and India firm samples, as well as our own surveys of small and medium firms, we examine the legal and business environments, financing channels, and growth patterns of different types of firms in India. Despite the English common-law origin and a British-style judicial system, Indian firms face weak investor protection in practice and poor institutions characterized by corruption and inefficiency. Alternative finance, including financing from all non-bank, non-market sources, and generally backed by non-legal mechanisms, constitutes the most important form of external finance. Bank loans provide the second most important external financing source. Firms with access to bank or market finance are not associated with higher growth rates. Our results indicate that bank and market finance is not superior to alternative finance in fast-growing economies such as India.

Depression, anxiety, and stress and socio-demographic correlates among general Indian public during COVID-19.

Abstract: Background:The severe outbreak of COVID-19 has affected the mental health of IndiansAim:The objective of this article was to find the prevalence rates of depression, anxiety and stress and their s

High-Resolution Maps of Bathymetry and Benthic Habitats in Shallow-Water Environments Using Multispectral Remote Sensing Imagery

Abstract: Coastlines, shoals, and reefs are some of the most dynamic and constantly changing regions of the globe. The emergence of high-resolution satellites with new spectral channels, such as the WorldView-2, increases the amount of data available, thereby improving the determination of coastal management parameters. Water-leaving radiance is very difficult to determine accurately, since it is often small compared to the reflected radiance from other sources such as atmospheric and water surface scattering. Hence, the atmospheric correction has proven to be a very important step in the processing of high-resolution images for coastal applications. On the other hand, specular reflection of solar radiation on nonflat water surfaces is a serious confounding factor for bathymetry and for obtaining the seafloor albedo with high precision in shallow-water environments. This paper describes, at first, an optimal atmospheric correction model, as well as an improved algorithm for sunglint removal based on combined physical and image processing techniques. Then, using the corrected multispectral data, an efficient multichannel physics-based algorithm has been implemented, which is capable of solving through optimization the radiative transfer model of seawater for bathymetry retrieval, unmixing the water intrinsic optical properties, depth, and seafloor albedo contributions. Finally, for the mapping of benthic features, a supervised classification methodology has been implemented, combining seafloor-type normalized indexes and support vector machine techniques. Results of atmospheric correction, remote bathymetry, and benthic habitat mapping of shallow-water environments have been validated with in situ data and available bionomic profiles providing excellent accuracy.