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Enregistrement W3119942214

The Financialization of Conservation: Myth and Reality

2019· article· en· W3119942214 sur OpenAlexaff
Diane‐Laure Arjaliès, Delphine Gibassier

Notice bibliographique

RevueSSRN Electronic Journal · 2019
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueSustainable Finance and Green Bonds
Établissements canadiensWestern University
Organismes subventionnairesnon disponible
Mots-clésConvention on Biological DiversityBusinessIncentiveThrivingCorporate governanceClimate FinanceFinanceEconomicsBiodiversityEconomic growthDeveloping countryMarket economyEcology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Under the Paris Agreement signed in 2016 within the United Nations Framework Convention on Climate Change, international community stands in a commitment to strengthen the global response to climate change, including by limiting global warming to well below 2°C. Such goal will not be achieved without the support of financial markets. When the rest of the world transitions away from carbon, corporations will be lassoed with a heavy load of stranded assets. “has a critical role to play in supporting the real economy through the transition. The emerging field of ‘sustainable finance’ is focused squarely on channeling financial sector expertise, ingenuity and influence towards the challenges and opportunities posed by climate change. ” Globally, innovative financial instruments offer exciting potential to help build thriving and healthy ecosystems and communities. When successful, such investment vehicles enable investors to generate profits; address social and environmental challenges; strengthen collective governance through multi-stakeholder partnerships; and ensure a more efficient use of both public and private money by sharing risks and implementing specific incentive and measurement systems. However, when poorly designed, the same financial instruments can have the opposite effect. Yet little research has been done on the mechanisms of success and failure of these devices. In particular, little is known about a fast-growing emerging field within sustainable finance, known as “conservation finance” (Huwyler et al. 2016, 2014). The Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) released its most recent report in May 2019. Compiled by 555 worldwide experts from 50 countries, it paints a grim picture. One million of the 8 million species on Earth are threatened with extinction, most within decades. Such losses will compromise the resilience of other ecosystems, including those on which people depend. The recent loss of species is so dramatic and serious that it could propel the world to a state of mass extinction (Barnosky et al. 2011; Ceballos et al. 2015). Protecting biodiversity is important for several reasons. According to the Convention About Life on Earth, at least 40 per cent of the world’s economy and 80 per cent of the needs of the poorest people on the planet are derived from biological resources. Healthy ecosystems are more likely to survive disasters and greater species diversity tends to ensure natural sustainability for all life forms. When the diversity of life is richer, there is greater opportunity for discoveries that could help address global challenges, such as epidemics or climate change. In addition, communities cannot thrive if ecosystems die. Research abounds about the social and health benefits of restoring a relationship between human beings and nature, whether in rural or urban communities. But communities also bear their own difficulties and often fail to see the importance of investing in conservation efforts (Gray and Milne 2018). Conservation needs keep increasing yet capital available to address the current crisis is shrinking. It is estimated that USD 200 billion to 300 billion in additional capital is needed to finance the preservation of the world’s most precious ecosystems. Between 2004 and 2015, private investors have already invested USD 8.2 billion in projects that demonstrated the potential to yield measurable environmental benefits. Among other initiatives, the Zoological Society of London (ZSL) and the World Wildlife Fund (WWF) attempted to create a Rhino Impact Bond that links investors’ financial returns to the ability of conservationists to save the rhinoceros. By calling for private actors to take part of those conservation efforts, public authorities and conservationists have begun to import financial and accounting techniques in a field that was previously immune to this language and these calculative practices. The selection of projects to be funded, the way resources are being allocated and how success is judged will all be shaped by the types of financial instruments and impact assessment used to assign value to conservation (Atkins and Maroun 2017; Atkins et al. 2018). For instance, if an insurance company sees some financial benefits in restoring wetlands, then it might invest in such a project. If an Indigenous community fails to demonstrate the added value of preserving this land through an Indigenous lens, the insurance company might reward other success factors, such as the building of flood barriers. All these decisions will be dictated by the financial instruments and impact assessment metrics used to finance conservation efforts. The consequences of these decisions are significant as they have major effects on both ecosystems and communities. Yet no one has investigated those processes and devices, the visions of the world they carry and the impacts they have on environmental and social life. This paper is a first step towards this direction. The paper provides the first comprehensive account of the global field of conservation finance, through an in-depth review of the financial instruments that have been developed over the past 10 years in the field of conservation worldwide. It analyzes the types of financial instruments being used (e.g. bond, project financing), the stakeholders involved (e.g. conservation organizations, public authorities, financiers), the impact assessment measures in-use, and the ecosystems under care. Based on this comparative analysis, the paper offers a typology of conservation finance that helps understand the modalities through which conservation is being financialized, its specificities, its strengths but also its limitations. In doing so, this paper enriches previous research on the financialization of nature (Chiapello 2018; Cooper et al. 2016; Himick and Brivot 2018) and the use of (biodiversity) accounting (Feger et al. 2018; Cuckston 2018, 2013) for this matter.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,016
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,041

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,016
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,004
Études des sciences et des technologies0,0050,026
Communication savante0,0210,038
Science ouverte0,0010,005
Intégrité de la recherche0,0080,013
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,205
Écart entre enseignants0,194 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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