scholarly journals Air Pollution, Allocation of Property Rights, Environmental Issues and Theoretical Overlapping Generations General Equilibrium Modelling

2011 ◽  
Vol 6 (1) ◽  
pp. 23-36
Author(s):  
Jules Tchouto
Keyword(s):  
Air Pollution ◽  
Property Rights ◽  
General Equilibrium ◽  
Overlapping Generations ◽  
Factor Model ◽  
Environmental Issues ◽  
Production Factor ◽  
Abatement Policy ◽  
Greenhouse Gas Abatement ◽  
General Equilibrium Modelling

Air Pollution, Allocation of Property Rights, Environmental Issues and Theoretical Overlapping Generations General Equilibrium ModellingThis paper presents how the environment - considered as a production factor - and other related assumptions can be introduced step by step in a theoretical Overlapping Generations General Equilibrium Model (OLG - GE). The first part shows the behaviors of agents with pollution in the absence of an environmental policy. The second part emphasizes a Greenhouse Gas abatement policy through the allocation of Pollution Permit ownership, which allows property rights on the environment; here we assume a three-factor model: Capital - Labor - Environment. The last part of of the paper highlights one theoretical property about the allocation of pollution permits within a OLG-GE steady state with the environment. To our knowledge, it is the first time that the aforementioned property has been characterized.

What Did The Study of The Soviet Economy Contribute to Mainstream Economics?

2010 ◽  
pp. 39-55
Author(s):  
M. Ellman
Keyword(s):  
Economic Growth ◽  
Property Rights ◽  
General Equilibrium ◽  
Informal Sector ◽  
Institutional Economics ◽  
Soviet Economy ◽  
General Equilibrium Theory ◽  
Mainstream Economics ◽  
Universal Applicability ◽  
Soviet Experience

This article is an overview of the contribution made by economic Sovietology to mainstream economics. The long debate about the universal applicability of mainstream economics is reconsidered in the light of the Soviet experience. Information is provided on the contribution of the study of the Soviet economy to fields as diverse as the measurement of economic growth, institutional economics, economic administration, the economics of property rights, the economics of the informal sector, the economics of famines, the Austrian critique of general equilibrium theory, and incentives.

Non-Motorized Transportation Analysis of Traffic Density, Pollution Using Regression Anova Analysis

2021 ◽  
pp. 534-542
Author(s):  
Arjun Rajeevkumar Bhele ◽  
Dr. Sujesh D. Ghodmare
Keyword(s):  
Air Pollution ◽  
Environmental Issues ◽  
Economic Benefits ◽  
Urban Transport ◽  
Traffic Density ◽  
Urban Mobility ◽  
Polluted Atmosphere ◽  
Transportation Modes ◽  
Prolonged Duration ◽  
Motorized Transport

Planners are now trying to provide greener travel solutions to reduce fiscal, social, and environmental issues. This research, therefore, seeks to find significant reasons for urban transport to enhance the use of alternative transportation modes. This report seeks to establish the connection between influential metrics for urban mobility and regular travel trips from different parts of the world. Deployment of excellent non-motorized transport facilities for Walking and cycling is a good way to encourage the use of bicycles, thereby increasing the physical fitness of end-users. Past studies were thoroughly reviewed and found to be applicable for analysis and application in the real world. Anova's regression analysis is distinguished by a more comprehensive interpretation of the findings. At Rajkamal Intersection, Amravati district, Maharashtra the traffic volume counts were carried out. It is the focus of the transport congestion, which leads to a polluted atmosphere due to prolonged duration at the signals. In this research, it can be seen that with the use of Motorized transport the traffic density & air pollution will increase with time, and with the increase in the use of Non-Motorized transport, the traffic density decreases also the air pollution is at a steady pace. The current study shows the necessity, favourable conditions, and economic benefits of non-motorized sustainable traffic, in the Indian condition.

scholarly journals Prediction of the Pollutants Concentration Using Artificial Neural Network (ANN)

2015 ◽  
Vol 16 (SE) ◽  
pp. 171-180
Author(s):  
Ahmad Mousavian ◽  
Hady Zarei Mahmodabady ◽  
Aboutaleb Ghadami Jadval Ghadam
Keyword(s):  
Neural Network ◽  
Air Pollution ◽  
Artificial Neural Network ◽  
Air Pollutants ◽  
Environmental Issues ◽  
Urban Transport ◽  
Regression Methods ◽  
Tangent Function ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Air pollution is one of the most important environmental issues that annual causes to mortality large number of people around the world. So, investigating, measuring, and predicting the concentrations of different pollutants in various areas play an important role in preventing the production of this pollutant sand planning to reduce them by people and relevant authorities. One of the new models that play an important role in measuring and predicting pollution is artificial neural network or regression methods. Therefore, this study is trying to predict air pollution in Yasouj by using artificial neural network in 2014. Because the evidences showed that Yasouj due to uncontrolled growth of industrial and urban transport is subject to various air pollutants such as carbon monoxide and particulate matter. Overall, the results of the assessment and prediction of concentration of pollutants of Yasouj by artificial neural network showed that sigmoid transfer function to the hyperbolic tangent function is more efficient in measuring the concentration of pollutants.  

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