Every nation of the world confirms that human-related greenhouse gas emissions are the major driver of the present global climate change. About 20% populations of the world live in China and the emissions of greenhouse gases of it are very high due to the large population, inefficient capital...

This paper discusses the greenhouse gas emissions which cause the global warming in the atmosphere. In the 20th century global climate change becomes more sever which is due to greenhouse gas emissions. According to International Energy Agency data, the USA and China are approximately tied and...

We apply the Parry-Small (2005) framework to asses whether the level taxation of motor fuel is broadly appropriate in a group of countries (OECD, BRICs and South Africa) accounting for more than 80 percent of world greenhouse gas (GHG) emissions. This paper deals with emissions from oil...

In this paper we introduce two models of opinion dynamics in oligopoly markets and apply them to a situation, where a new entrant challenges two incumbents of the same size. The models differ in the way the two forces influencing consumer choice - (local) social interactions and (global)...

This article presents an agent-based model (ABM) of an Italian textile district where thousands of small firms specialize in particular phases of fabrics production. It is an empirical model because it reconstructs the communications between firms when they arrange production chains. In their...

This article uses the functional decomposition approach to modeling Mäki (2009b) to discuss the importance of methodological considerations before choosing a modeling framework in applied research. It considers the case of agent-based models and dynamic stochastic general equilibrium models to...

This article presents an agent-based model of an Italian textile district where thousands of small firms specialize in particular phases of fabrics production. It is an empirical and methodological model that reconstructs the communications between firms when they arrange production chains. In...

AgriPoliS is a multi-agent mixed integer linear programming (MIP) model, spatially explicit, developed in C++ language and suitable for long-term sim- ulations of agricultural policies. Beyond the mixed integer programming core, the model main feature is the interaction among a set of...