The Sukkur Institute of Business Administration is a business school in Sukkur, Pakistan. The school is a public sector degree-awarding institute chartered by the Government of Sindh and recognized by the Higher Education Commission. Wikipedia.
Ahmed K.,Sukkur Institute of Business Administration
Environmental Science and Pollution Research | Year: 2016
In the light of urban environmental transition (UET) theory, this study explores the relationship between carbon dioxide (CO2) emissions, economic growth, urbanization, and trade openness using updated Chinese data over the extended period (1971–2013). After confirming that all the underlying series are stationary and adjusted with single structural break point, the results of autoregressive distributed lag (ARDL) bounds test approach to cointegration confirm the cointegration between the variables. The long- and short-run dynamics reveal that urbanization reduces the CO2 emissions both in short and long runs, but statistically insignificant. These findings contrast with previous literature and sound the validation of urban environmental transition theory (UET). However, economic growth and trade openness contribute environmental degradation both in long- and short-run paths. The causality analysis reports bidirectional causal link between trade openness and urbanization in the short run. However, in the long-run, economic growth Granger causes carbon dioxide emissions, urbanization, and trade openness. Similarly, trade openness Granger causes carbon dioxide emissions, economic growth, and urbanization in the long run. The overall results imply that rural to urban immigration is still mostly driven by export-related manufacturing sectors. In addition, the higher GDP also contributes to urbanization as a feedback effect. In the end, stability of the model is also checked, model found stable, and findings are suitable for environmental policy control use. © 2016 Springer-Verlag Berlin Heidelberg
Shahbaz M.,COMSATS Institute of Information Technology |
Rasool G.,COMSATS Institute of Information Technology |
Ahmed K.,Sukkur Institute of Business Administration |
Mahalik M.K.,National Institute of Technology Rourkela
Renewable and Sustainable Energy Reviews | Year: 2016
This paper investigates the relationship between biomass energy consumption and economic growth by incorporating capital and trade openness in production function for the case of BRICS countries. In doing so, unit root and cointegration tests have been used in order to examine unit root properties and long run relationship between the series for the period of 1991Q1-2015Q4. The results confirm the presence of long-run equilibrium relationship between the variables. Moreover, biomass energy consumption stimulates economic growth. Capital increments economic growth and trade openness spurs economic growth. The feedback effect exists between biomass energy consumption and economic growth. Trade openness Granger causes economic growth, capital and biomass energy consumption. The policy to adopt biomass as the primary source of renewable energy helps BRICS countries to achieve sustainable development goal in both short-run and long-run. However, the key innovative point of this study is to establish the sign for Granger causality test. © 2016 Elsevier Ltd. All rights reserved.
Ahmed J.,Sukkur Institute of Business Administration |
Shaikh Z.A.,National University of Computer and Emerging Sciences
Proceedings - International Conference on Computer Networks and Information Technology | Year: 2011
Most of the privacy research in online social networks has focused on protecting profile information of users from other users of online social networks. Another equally important research area is protection of users profile information from social applications. With the introduction of the Google's OpenSocial and Facebook's Developer Platform millions of third party developers are building thousands of social applications for existing massive user base. This fact poses serious privacy risk because current social networking platforms don't provide any mechanism to control disclosure of user's personal information to social applications and their developers. In this paper, we investigate two very popular social networking platform s, i.e. Facebook Developers Platform and OpenSocial. We demonstrate inherit flaws in these social networking platforms. We also point out limitations in existing solutions to the problem suggested by researcher community in the area. We recognise the need for extension of current APIs available for these social networking platforms so that extended version of APIs provide fine grain access control to the user of online social networks. © 2011 IEEE.
Ahmed K.,Sukkur Institute of Business Administration |
Qazi A.Q.,Pakistan Institute of Development Economics
Management of Environmental Quality | Year: 2014
Purpose: The paper aims to fill the gap on energy and growth literature for Mongolia. The high growth rate over last decade has substantially increased the energy demand and as a result has increased the carbon-dioxide (CO
Bosse T.,VU University Amsterdam |
Memon Z.A.,VU University Amsterdam |
Memon Z.A.,Sukkur Institute of Business Administration |
Treur J.,VU University Amsterdam
Cognitive Systems Research | Year: 2012
Two types of modelling approaches exist to reading an observed person's emotions: with or without making use of the observing person's own emotions. This paper focuses on an integrated approach that combines both types of approaches in an adaptive manner. The proposed models were inspired by recent advances in neurological context. Both a neural model and a more abstracted cognitive model are presented. In the first place emotion reading is modelled involving (preparatory) mirroring of body states of the observed person within the observing person. This involves a recursive body loop: a converging positive feedback loop based on reciprocal causation between preparations for body states and emotions felt. Here emotion reading involves the person's own body states and emotions in reading somebody else's emotions: first the same feeling is developed by mirroring, and after feeling the emotion, it is imputed to the other person. In the second place, as an extension an adaptive process is modelled based on Hebbian learning of a direct connection between a sensed stimulus concerning another agent's body state (e.g., face expression) and an emotion imputation state. After this Hebbian learning process the emotion is imputed to the other agent before it is actually felt, or even without it is felt. Both the mirroring and Hebbian learning processes first have been modelled at a neural level, and next, in a more abstracted form at a cognitive level. By means of an interpretation mapping the paper shows the relation between the obtained cognitive model and the neurological model. In addition to specifications of both models and the interpretation mapping, simulation results are shown, and automated verification of relevant emerging properties is discussed. © 2010 Elsevier B.V.