2009
DOI: 10.1007/s11590-009-0165-2
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A variational inequality formulation of the environmental pollution control problem

Abstract: In this paper we develop the time-dependent pollution control problem in which different countries aim to determine the optimal investment allocation in environmental projects and the tolerable pollutant emissions, so as to maximize their welfare. We provide the equilibrium conditions governing the model and derive the evolutionary variational inequality formulation. The existence of solutions is investigated and a numerical example is also presented.

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Cited by 20 publications
(7 citation statements)
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“…We first note that, as proved in [29], a vector (e * i (t), I * i (t)) ∈ K i is an optimal solution to problem (7) if and only if it is a solution of the following variational inequality, for each i = 1, . .…”
Section: Theorem 33 Let Us Assume That Assumptions Of Theorem 32 Bementioning
confidence: 98%
See 3 more Smart Citations
“…We first note that, as proved in [29], a vector (e * i (t), I * i (t)) ∈ K i is an optimal solution to problem (7) if and only if it is a solution of the following variational inequality, for each i = 1, . .…”
Section: Theorem 33 Let Us Assume That Assumptions Of Theorem 32 Bementioning
confidence: 98%
“…In this section, we present the evolutionary environmental pollution control problem and give the equilibrium conditions governing the model (see also [6,7,29]). We study the system in the finite time horizon [0, t], with t > 0.…”
Section: The Modelmentioning
confidence: 99%
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“…Recently, Qiang et al (2013) used the theory to consider a closed-loop supply chain network. Scrimali (2010) used it to discuss the environmental pollution control problem. Other applications can be found in the works of Ban et al (2012), Wakolbinger and Cruz (2011) and Cruz and Matsypura (2009).…”
Section: Solution Approachmentioning
confidence: 99%