Reservation Policy in India: Need for Re-Look

2012 ◽  
Author(s):  
Komol Singha
Keyword(s):  
Reservation Policy

scholarly journals Data Envelopment Analysis (DEA) Approach for the Jordanian Banking Sector's Performance

2016 ◽  
Vol 10 (5) ◽  
pp. 170
Author(s):  
Imad Zeyad Ramadan
Keyword(s):  
Banking Sector ◽  
Foreign Banks ◽  
Data Envelopment ◽  
Net Income ◽  
Efficiency Ratio ◽  
Mortgage Crisis ◽  
Investment Opportunities ◽  
Reservation Policy ◽  
Dea Approach ◽  
Main Activity

<p class="zhengwen">This study sought to evaluate the performance of banks in the Jordanian banking sector, where DEA approach has been used for a sample of banks operating in Jordan amounted to 16 banks (10 Jordanian banks and 6 foreign banks operating in Jordan) during 2014 and by using the variables: Deposits and liabilities<strong>,</strong> Total expenses<strong> </strong>and Dedicated asset as main inputs for banks and which represent the main activity of banks, and the variables : Credit facilities<strong> </strong>and Net Income<strong> </strong>as outputs of the banks using the statistical software SIAD.</p>The current study has concluded that all banks operating in Jordan have a surplus in resources untapped optimally and over the investment opportunities available to these banks, and the reason beyond this may be due to the reservation policy of banks, especially after the mortgage crisis suffered by these banks. The study has also concluded that foreign banks operating in Jordan have achieved efficiency ratio more than the Jordanian banks, and this can be attributed to the financing experience of foreign banks’ managements and their international spread which is more than the Jordanian banks’.

The exhaustion of the herding effect in peer-to-peer accommodation

2020 ◽  
pp. 135481662094653
Author(s):  
Beatriz Benítez-Aurioles
Keyword(s):  
Utility Maximization ◽  
Peer To Peer ◽  
Herding Behavior ◽  
European Cities ◽  
The Future ◽  
Balanced Distribution ◽  
Reservation Policy ◽  
Tourist Accommodation

A significant reason for the concentration of demand in a subset of the supply in the peer-to-peer market for tourist accommodation is herding behavior, by which the decisions of the first guests are imitated by those who follow. This article proposes a profit- and utility-maximization microeconomic model and implements it with data of Airbnb listings corresponding to 10 European cities. Results show that the influence of each additional review is positive but decreasing, inducing a more balanced distribution of demand among offered accommodation and thus dampening the herding effect. Moreover, reservation policy—specifically, enabling the instant booking option—is a key to explain the initial push that accommodations need to be demanded now and, hence, to increase their possibilities of being demanded in the future.

scholarly journals Caste in the News: A Computational Analysis of Indian Newspapers

2019 ◽  
Vol 5 (4) ◽  
pp. 205630511989605
Author(s):  
António Filipe Fonseca ◽  
Sohhom Bandyopadhyay ◽  
Jorge Louçã ◽  
Jaison Manjaly
Keyword(s):  
Computational Analysis ◽  
Indian Society ◽  
Necessary Condition ◽  
Linguistic Context ◽  
Rigorous Analysis ◽  
Social Unrest ◽  
Positive Discrimination ◽  
Reservation Policy ◽  
Contemporary Reality ◽  
Lower Castes

Conflicts involving caste issues, mainly concerning the lowest caste rights, pervade modern Indian society. Caste affiliation, being rigorously enforced by the society, is an official contemporary reality. Although caste identity is a major social discrimination, it also serves as a necessary condition for affirmative action like reservation policy. In this article, we perform an original and rigorous analysis of the discourse involving the theme “caste” in India newspapers. To this purpose, we have implemented a computational analysis over a big dataset of the 2016 and 2017 editions of three major Indian newspapers to determine the most salient themes associated with “caste” in the news. We have used an original mix of state-of-the-art algorithms, including those based on statistical distributions and two-layer neural networks, to detect the relevant topics in the news and characterize their linguistic context. We concluded that there is an excessive association between lower castes, victimization, and social unrest in the news that does not adequately cover the reports on other aspects of their life and personal identity, thus reinforcing conflict, while attenuating the vocality and agency of a large section of the population. From our conclusion, we propose a positive discrimination policy in the newsroom.

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