Lahore, Pakistan
Lahore, Pakistan

The Lahore School of Economics was established in 1993 and chartered by the Government of Punjab in January 1997, through The Lahore School of Economics Act 1997 . It is based in the city of Lahore, Pakistan.The Lahore School of Economics has two campuses: the Main campus and the City campus. The Main campus, spread over 35 acres , is located on the intersection of DHA Phase VI, Main Boulevard and Burki Road. The City campus is located in Gulberg near the central Liberty Market area.The Lahore School is ranked 2nd best Pakistani business school according to Pakistan's Higher Education Commission (HEC} Ranking after Lums. Wikipedia.


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Khan S.N.,Lahore School of Economics | Mohsin M.,Huawei
Journal of Cleaner Production | Year: 2017

Using the theory of consumption values, this research proposes to explore the consumer choice behavior for green products in Pakistan. Functional value (price and quality), social value, conditional value, epistemic value, and emotional value and environmental value were used to study the consumer choice behavior for green products. It also gauges the extent to which emotional value moderates the impact of other consumption values on green product consumer choice behavior. Based on a sample of 260 respondents, the results indicate that functional value (price), social value and environmental value have a positive impact on green product consumer choice behavior, while conditional value and epistemic value have a negative effect. Functional value (quality) and emotional value do not influence green product consumer choice behavior. As a moderator, emotional value has a significant effect on the role of functional value, social value, conditional value, epistemic value and environmental value. This confirms and significantly adds to the literature of green product consumer choice behavior in a developing market. © 2017 Elsevier Ltd


Naz R.,Lahore School of Economics | Mahomed F.M.,University of Witwatersrand
Pramana - Journal of Physics | Year: 2014

The Lie and Noether point symmetry analyses of a kth-order system of m complex ordinary differential equations (ODEs) with m dependent variables are performed. The decomposition of complex symmetries of the given system of complex ODEs yields Lie- and Noether-like operators. The system of complex ODEs can be split into 2m coupled real partial differential equations (PDEs) and 2m Cauchy-Riemann (CR) equations. The classical approach is invoked to compute the symmetries of the 4m real PDEs and these are compared with the decomposed Lie- and Noetherlike operators of the system of complex ODEs. It is shown that, in general, the Lie- and Noether-like operators of the system of complex ODEs and the symmetries of the decomposed system of real PDEs are not the same. A similar analysis is carried out for restricted systems of complex ODEs that split into 2m coupled real ODEs. We summarize our findings on restricted complex ODEs in two propositions. © Indian Academy of Sciences.


Chaudhry A.A.,Lahore School of Economics
Energy Sources, Part B: Economics, Planning and Policy | Year: 2016

The analysis uses data taken from the World Bank Enterprise Surveys for Pakistan to construct a panel dataset for 402 firms over 4 years. This is used to determine the elasticity of electricity demand with respect to the price of electricity across Pakistani firms. The electricity demand analysis finds that the price elasticity of electricity demand across the sample of firms is -0.57. © Taylor & Francis Group, LLC.


Beg I.,Lahore School of Economics | Rashid T.,National University of Computer and Emerging Sciences
OPSEARCH | Year: 2014

A generalized trapezoidal-valued intuitionistic fuzzy geometric aggregation operator is proposed which is then used to aggregate decision makers' opinions in group decision making process. An extension of TOPSIS, a multi-criteria trapezoidal-valued intuitionistic fuzzy decision making technique, to a group decision environment is also proposed, where inter-dependent or interactive characteristics among criteria and preference of decision makers are under consideration. Furthermore, Choquet integral-based distance between trapezoidal-valued intuitionistic fuzzy values is defined. Combining the trapezoidal-valued intuitionistic fuzzy geometric aggregation operator with Choquet integral-based distance, an extension of TOPSIS method is developed to deal with a multi-criteria trapezoidal-valued intuitionistic fuzzy group decision making problems. Finally, an illustrative example is provided to understand the proposed method. © 2013 Operational Research Society of India.


Naz R.,Lahore School of Economics
International Journal of Non-Linear Mechanics | Year: 2016

The partial Hamiltonian systems of the form q̇i=∂H∂pi,ṗi=−∂H∂qi+Γi(t,qi,pi) arise widely in different fields of the applied mathematics. The partial Hamiltonian systems appear for a mechanical system with non-holonomic nonlinear constraints and non-potential generalized forces. In dynamic optimization problems of economic growth theory involving a non-zero discount factor the partial Hamiltonian systems arise and are known as a current value Hamiltonian systems. It is shown that the partial Hamiltonian approach proposed earlier for the current value Hamiltonian systems arising in economic growth theory Naz et al. (2014) [1] is applicable to mechanics and other areas as well. The partial Hamiltonian approach is utilized to construct first integrals and closed form solutions of optimal growth model with environmental asset, equations of motion for a mechanical system with non-potential forces, the force-free Duffing Van der Pol Oscillator and Lotka–Volterra models. © 2016 Elsevier Ltd


Khalid A.,Lahore School of Economics | Beg I.,Lahore School of Economics
Information Sciences | Year: 2016

An interval valued preference relation is a preference structure that is used to describe uncertainty in complex decision making problems. Retrieving complete information from experts is improbable in real life scenarios. Discarding incomplete information leads to loss of important data. In this paper, we introduce an upper bound condition to deal with incomplete interval valued fuzzy preference relations. With the help of this condition, missing preferences are estimated such that they are expressible. Moreover, the resultant complete relation is consistent. In case if an expert is unable to abide by the proposed upper bound condition, an algorithm is formulated to assist the expert in complying to the upper bound condition. © 2016 Elsevier Inc. All rights reserved.


Rashid T.,National University of Computer and Emerging Sciences | Beg I.,Lahore School of Economics | Husnine S.M.,National University of Computer and Emerging Sciences
Applied Soft Computing Journal | Year: 2014

The aim of this paper is to propose a method to aggregate the opinion of several decision makers on different criteria, regarding a set of alternatives, where the judgment of the decision makers are represented by generalized interval-valued trapezoidal fuzzy numbers. A generalized interval valued trapezoidal fuzzy number based technique for order preference by similarity to ideal solution is proposed that can reflect subjective judgment and objective information in real life. The weights of criteria and performance rating values of criteria are linguistic variables expressed as generalized interval-valued trapezoidal fuzzy numbers. Finally, an illustrative example is provided to elaborate the proposed method for the selection of a suitable robot according to our requirements. © 2014 Elsevier B.V.


Mudakkar S.R.,Lahore School of Economics | Zaman K.,COMSATS Institute of Information Technology | Khan M.M.,COMSATS Institute of Information Technology | Ahmad M.,Bahria University
Renewable and Sustainable Energy Reviews | Year: 2013

This study investigates the causal relationship between energy consumption (i.e., nuclear energy consumption, electricity power consumption and fossil fuels energy consumption) and economic growth; energy consumption and industrialization (i.e., industrial GDP, beverages and cigarettes); energy consumption and environmental degradation (i.e., carbon dioxide emissions, population density and water resources); and finally, energy consumption and resource depletion (i.e., mineral depletion, energy depletion, natural depletion and net forest depletion) in Pakistan over a period of 1975-2011. The Granger causality (GC) test in the frequency domain using the Pierce framework has been employed. This GC test in the frequency domain relies on a modified version of the coefficient of coherence, which they estimate in a nonparametric fashion and for which they derive the distributional properties. The results infer that there exists uni-directional causality running from nuclear energy to industrial GDP, nuclear energy to water resources; and nuclear energy to carbon dioxide emissions but not vice versa. Similarly, electric power consumption Granger cause agriculture GDP but not other way around, further, there is a bi-directional causality running between electric power consumption to population density in Pakistan. Fossil fuel Granger cause industrial GDP and there is a bidirectional causality running between fossil fuel and population density. Moreover, the findings show that the nature of causality among nuclear energy consumption & agriculture; nuclear energy consumption & population density; electric power consumption & cigarettes production; fossil fuel & cigarettes; and fossil fuels and agriculture value added are in favour of the neutrality hypothesis in Pakistan. The conclusion has been strengthen and have a very strong implications in the context of Pakistan, where we have economic and financial constraints, and thus agreeing the bottom line, "living with the just enough". © 2013 Elsevier Ltd.


Beg I.,Lahore School of Economics | Rashid T.,National University of Computer and Emerging Sciences
International Journal of Intelligent Systems | Year: 2013

We propose a new method to aggregate the opinion of experts or decision makers on different criteria, regarding a set of alternatives, where the opinion of the experts is represented by hesitant fuzzy linguistic term sets. An illustrative example is provided to elaborate the proposed method for selection of the best alternative. © 2013 Wiley Periodicals, Inc.


Khan M.R.,Lahore School of Economics
Proceedings of the 2014 International Conference and Utility Exhibition on Green Energy for Sustainable Development, ICUE 2014 | Year: 2014

The current energy crises has hard pressed humanity to look for alternative energy resources, make use of available resources in a sustainable manner and minimize wastage. This problem can only be solved by interdisciplinary experts equipped with skills of both technology and economics. The work reported here was projected to study techno-economic disposal of infectious waste produced by the hospitals of Lahore being incinerated to liberate air pollutants and waste heat energy that can be harnessed to produce electricity. The primary data was collected by our research group from five model hospitals of Lahore and sites of incineration. The quantity of infectious waste was assessed as 793 metric ton/annum on the basis of which the potential of production of electricity was determined. Five cost of land inclusive and two exclusive alternative projects were framed on the basis of 2008 price and evaluated. All alternatives turned out as non-feasible except one that excluded land cost. Due to a rapid increase in electricity price triggered at end of 2008 and multiplied 2.5 times in 2012, two projects based on 2008 and 2012 price were designed and evaluated. Former qualified all criteria of acceptability and latter even promised unexpected profit to the entrepreneur. © 2014 Asian Institute of Technology.

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