Nature-based Solutions in Latin America and the Caribbean: Financing Mechanisms for Regional Replication

2021 ◽  
Author(s):  
Lizzie Marsters ◽  
Gabriela Morales ◽  
Suzanne Ozment ◽  
Mariana Silva Paredes ◽  
Gregory Watson ◽  
...  

Innovative financing models are emerging globally to advance nature-based solutions (NBS) that can cost-effectively enhance infrastructure performance, meet Sustainable Development Goals, and mitigate the negative impacts of climate change. Despite the potential for NBS to generate attractive returns and provide significant cost-savings, these financing models remain underutilized. Consequently, NBS are not achieving their full potential and a tranche of pent up green capital is sidelined. This report highlights five proven NBS financing strategies that leverage private finance: green bonds, blended market-rate and concessional loans, land-based financing strategies, insurance policies, and endowments. This report also outlines current barriers to the successful scaling of these financing strategies in Latin America and the Caribbean and identifies the approaches and enabling conditions needed to overcome them.

2021 ◽  
Author(s):  
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The Development Effectiveness Overview (DEO) is an annual report produced by the IDB Group to share the results and impact of its work in Latin America and the Caribbean. It showcases the IDB Group's contributions towards the development of its 26 borrowing member countries in the region and the Sustainable Development Goals, as well as progress against key institutional metrics in its Corporate Results Framework.


2021 ◽  
Author(s):  

The Development Effectiveness Overview (DEO) is an annual report produced by the IDB Group to share the results and impact of its work in Latin America and the Caribbean. It showcases the IDB Group's contributions towards the development of its 26 borrowing member countries in the region and the Sustainable Development Goals, as well as progress against key institutional metrics in its Corporate Results Framework. The 2021 DEO summary provides an overview of the IDB Groups impact in the region, as well as a snapshot of how the Group is performing against its targets.


2021 ◽  
Vol 13 (15) ◽  
pp. 8503
Author(s):  
Henrik Skaug Sætra

Artificial intelligence (AI) now permeates all aspects of modern society, and we are simultaneously seeing an increased focus on issues of sustainability in all human activities. All major corporations are now expected to account for their environmental and social footprint and to disclose and report on their activities. This is carried out through a diverse set of standards, frameworks, and metrics related to what is referred to as ESG (environment, social, governance), which is now, increasingly often, replacing the older term CSR (corporate social responsibility). The challenge addressed in this article is that none of these frameworks sufficiently capture the nature of the sustainability related impacts of AI. This creates a situation in which companies are not incentivised to properly analyse such impacts. Simultaneously, it allows the companies that are aware of negative impacts to not disclose them. This article proposes a framework for evaluating and disclosing ESG related AI impacts based on the United Nation’s Sustainable Development Goals (SDG). The core of the framework is here presented, with examples of how it forces an examination of micro, meso, and macro level impacts, a consideration of both negative and positive impacts, and accounting for ripple effects and interlinkages between the different impacts. Such a framework helps make analyses of AI related ESG impacts more structured and systematic, more transparent, and it allows companies to draw on research in AI ethics in such evaluations. In the closing section, Microsoft’s sustainability reporting from 2018 and 2019 is used as an example of how sustainability reporting is currently carried out, and how it might be improved by using the approach here advocated.


2018 ◽  
Vol 10 (10) ◽  
pp. 3740 ◽  
Author(s):  
Silvia Bonilla ◽  
Helton Silva ◽  
Marcia Terra da Silva ◽  
Rodrigo Franco Gonçalves ◽  
José Sacomano

The new evolution of the production and industrial process called Industry 4.0, and its related technologies such as the Internet of Things, big data analytics, and cyber–physical systems, among others, still have an unknown potential impact on sustainability and the environment. In this paper, we conduct a literature-based analysis to discuss the sustainability impact and challenges of Industry 4.0 from four different scenarios: deployment, operation and technologies, integration and compliance with the sustainable development goals, and long-run scenarios. From these scenarios, our analysis resulted in positive or negative impacts related to the basic production inputs and outputs flows: raw material, energy and information consumption and product and waste disposal. As the main results, we identified both positive and negative expected impacts, with some predominance of positives that can be considered positive secondary effects derived from Industry 4.0 activities. However, only through integrating Industry 4.0 with the sustainable development goals in an eco-innovation platform, can it really ensure environmental performance. It is expected that this work can contribute to helping stakeholders, practitioners and governments to advance solutions to deal with the outcomes emerging through the massive adoption of those technologies, as well as supporting the expected positive impacts through policies and financial initiatives.


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