Protecting biodiversity by developing bio-jobs: A multi branch analysis with an application on French data

Jean de Beir (), Celine Emond, Yannick L'Horty () and Laetitia Tuffery
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Jean de Beir: EPEE - Centre d'Etudes des Politiques Economiques - UEVE - Université d'Évry-Val-d'Essonne, TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique
Celine Emond: ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12, TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique

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Abstract: There are jobs favourable to biodiversity, which we call bio-jobs. These jobs are located in a small number ofsectors generally linked to natural resources: naturalist research, forestry sector, public works, water and wastemanagement, etc. In this article, we are interested in two economic policies favoring the development of thesebio- jobs. The government can support demand in sectors concentrating bio-jobs through public procurement, orshe can develop them through targeted exemptions. The most effective and relevant combination of theseinstruments is looked for via an original framework. We show that the action of the government is driven by thenature of the sectors and especially the level of an existing private demand. Then, the level of the wages plays amajor role in the government budget decision. We finally apply these recommendations to French data.

Keywords: Employment; biodiversity conservation; public policy (search for similar items in EconPapers)
Date: 2015
New Economics Papers: this item is included in nep-env
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Working Paper: Protecting biodiversity by developing bio-jobs: a multi-branch analysis with an application on French data (2015)
Working Paper: Protecting biodiversity by developing bio-jobs: A multi branch analysis with an application on French data (2015)
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