Participation in and Compliance with Public Voluntary Environmental Programs: An Evolutionary Approach

39 Pages Posted: 18 Jun 2004

See all articles by Constadina Passa

Constadina Passa

University of Crete - Department of Economics

Anastasios Xepapadeas

Athens University of Economics and Business; University of Bologna - School of Economics, Management, and Statistics

Date Written: April 2004

Abstract

The joint evolution of participating and complying firms in a public VA, along with the evolution of the pollution stock is examined. Replicator dynamics modeling participation and compliance are combined with pollution stock dynamics. Fast-slow selection dynamics are used to capture the fact that decisions to participate in and further comply with the public VA evolve in different time scales. Evolutionary stable (ES) equilibria depend on the structure of the legislation and auditing probability. Partial participation and partial compliance can be ES equilibria, with possible multiplicities, in addition to the monomorphic equilibria of full (non) compliance. Convergence to these equilibria could be monotonic or oscillating. Full participation and compliance can be attained if the regulator is pre-committed to certain legislation and inspection probabilities, or by appropriate choices of the legislatively set emission level and the non-compliance fine.

Keywords: Voluntary agreements, Participation, Compliance, Evolutionary stability, Replicator dynamics

JEL Classification: Q2, L5

Suggested Citation

Passa, Constadina and Xepapadeas, Anastasios, Participation in and Compliance with Public Voluntary Environmental Programs: An Evolutionary Approach (April 2004). Available at SSRN: https://ssrn.com/abstract=546043 or http://dx.doi.org/10.2139/ssrn.546043

Constadina Passa (Contact Author)

University of Crete - Department of Economics ( email )

GR-74100 Rethymnon, GR-74100
Greece

Anastasios Xepapadeas

Athens University of Economics and Business ( email )

76 Patission Street
Athens, 104 34
Greece

University of Bologna - School of Economics, Management, and Statistics ( email )

Piazza Scaravilli 1
40126 Bologna, fc 47100
Italy

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