Green Finance and Sustainability
Notice bibliographique
Résumé
Today, green finance and sustainability have become integral parts of the global financial landscape, and it is the Indian financial institutions that are leading the way. This chapter delves into the intricate landscape of green finance and sustainability in Indian financial institutions. It focuses on regulation, green bonds, sustainable banking, public and private sector initiatives, and the challenges and opportunities they present. The Reserve Bank of India (RBI) and the Securities and Exchange Board of India (SEBI) are at the forefront of these initiatives. The RBI, for instance, is already taking significant steps, such as incorporating sustainability into its policy framework, by considering renewable energy in its priority sector lending norms. SEBI, conversely, has made it mandatory for all listed companies to disclose their ESG practices under the Business Responsibility and Sustainability Reporting (BRSR) framework, a move that promotes transparency and sustainable practices. Green bonds are a potent financial instrument for directing capital toward environmentally sustainable projects. In India, the Indian Renewable Energy Development Agency and several banks have proactively issued green bonds to finance renewable energy, energy efficiency, and clean transportation projects. The State Bank of India's issuance of its first green bond in 2018, raising USD 650 million for a green project, is a testament to SBI's dedication to sustainable finance and a model for other financial institutions. Indian banks are increasingly integrating environmental, social, and governance (ESG) criteria, a set of standards for a company's operations that socially conscious investors use to screen potential investments in their lending and investment decisions fostering long-term green banking practices. They also provide green loans for projects with positive environmental impacts and incorporate climate risk assessment into their risk management frameworks driven by regulatory mandates and market demand for responsible investments. Both the public and private sectors in India are actively promoting green finance. The government provides support and technical know-how for fund arrangements for green projects through initiatives like the Green Climate Fund and the International Solar Alliance. Major corporations, including Tata Power and Reliance Industries, also invest heavily in renewable energy sources aligning with corporate sustainability trends. However, green financing in India still faces challenges. For instance, the general public is unaware of green financial products, which hampers their adoption. The limited number of such products and weak regulatory support pose significant hurdles. Despite these challenges, the potential for green finance in India is immense. The increasing recognition of climate change-related risks is driving demand for resilient investments. The progress in renewable energy and efficiency technologies is creating new investment opportunities, and international collaborations can enhance the capacity of Indian financial institutions to support green projects. Finally, the green finance and sustainability landscapes in Indian financial institutions are dynamic and changing rapidly. Regulatory systems, innovative financial instruments, sustainable banking practices, and proactive initiatives from public and private sectors collectively drive green finance growth and support by the country's strive toward green financing of its transition to a sustainable and resilient economy.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,010 |
| Communication savante | 0,008 | 0,006 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,004 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,019 | 0,002 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».