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

Jean De Beir (), Céline Emond (), Yannick L'Horty () and Laetitia Tuffery
Additional contact information
Jean De Beir: Université Evry-Val-d’Essonne, EPEE, TEPP
Céline Emond: Université Paris-Est, ERUDITE

No 2015.03, Working Papers from FAERE - French Association of Environmental and Resource Economists

Abstract: In each economy there is employment favourable to biodiversity, which we call bio-jobs. These jobs are located in a small number of branches linked to or controlling natural resources: green core activities, quarrying, public works, water and waste management, etc. We are interested in the economic policies for the preservation of biodiversity which affect the development of employment. We consider a model where government wields two types of instrument: it can support demand in sectors concentrating bio-jobs, through public procurement, or it can seek to promote the development of new productive combinations with more bio-jobs, with subsidies targeted at employment. We seek the most effective combination of these two instruments- demand and supply- and show that government must adopt a differentiated approach depending on the sectors being regulated. We find that the level of private demand and of wages play a major role in the government choice. Finally, we apply these reco mmendations to French data.

Keywords: Employment; biodiversity; public policy (search for similar items in EconPapers)
JEL-codes: J21 Q57 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2015-02
New Economics Papers: this item is included in nep-env
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http://faere.fr/pub/WorkingPapers/De%20Beir_Emond_ ... _FAERE_WP2015.03.pdf First version, 2015 (application/pdf)

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Working Paper: Protecting biodiversity by developing bio-jobs: A multi branch analysis with an application on French data (2015) Downloads
Working Paper: Protecting biodiversity by developing bio-jobs: A multi branch analysis with an application on French data (2015) Downloads
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