Essays On Pollution Control In Economics And Management Science

Essays on Pollution Control in Economics and Management Science

The book features contributions that address both environmental economics and environmental management. It presents a novel dynamic modeling framework for environmental economics in which environmental absorption efficiency is considered as a time-dependent variable with its own dynamics. It also introduces several extensions and applications of the model, including the possibility of including self-regenerating environmental absorption efficiency, non-cooperative transboundary issues with two superimposed free-rider behaviors (i.e., emissions reduction and restoration efforts), and deforestation. In the environmental management context, it puts forward an entirely new dynamic modeling framework. Unlike static approaches, the model considers both flow and stock variables, reflecting the accumulation of pollution over time. In turn, the book assesses sustainable configurations for supply chain competition, providing mathematical insights and managerial recommendations that integrate accumulated pollution aspects and associated negative externalities. Overall, the book calls for combining environmental economics and environmental management in order to arrive at more realistic, empirically grounded models. Given its focus, the book offers a valuable resource for researchers and graduate students with an interest in addressing pollution control challenges in the fields of economics and management science.

Proceedings and Background Papers

Differential Games in Economics and Management Science

A comprehensive, self-contained survey of the theory and applications of differential games, one of the most commonly used tools for modelling and analysing economics and management problems which are characterised by both multiperiod and strategic decision making. Although no prior knowledge of game theory is required, a basic knowledge of linear algebra, ordinary differential equations, mathematical programming and probability theory is necessary. Part One presents the theory of differential games, starting with the basic concepts of game theory and going on to cover control theoretic models, Markovian equilibria with simultaneous play, differential games with hierarchical play, trigger strategy equilibria, differential games with special structures, and stochastic differential games. Part Two offers applications to capital accumulation games, industrial organization and oligopoly games, marketing, resources and environmental economics.