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WORLD BANK has floated a tender for Boxing Methodology for Dynamic Disequilibrium Macroeconomic Models. The project location is USA and the tender is closing on 04 Mar 2024. The tender notice number is 0002007117, while the TOT Ref Number is 97534176. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.
Procurement Summary
Country : USA
Summary : Boxing Methodology for Dynamic Disequilibrium Macroeconomic Models
Deadline : 04 Mar 2024
Other Information
Notice Type : Tender
TOT Ref.No.: 97534176
Document Ref. No. : 0002007117
Competition : ICB
Financier : World Bank (WB)
Purchaser Ownership : Public
Tender Value : Refer Document
Purchaser's Detail
Purchaser : WORLD BANK
United States of America
USA
Email :corporateprocurement@worldbank.org
Tender Details
Tenders are invited for Boxing Methodology for Dynamic Disequilibrium Macroeconomic Models
The World Bank is setting up a Financial Sector Mitigation Tool (FSMT) as a publicly accessible global knowledge product. This will include analytical and modelling work on the macro, financial and fiscal impacts of Green Financial Sector Interventions (GFSIs) and inform optimized use of Results-Based Climate Finance (RBCF).
Since capital reallocation from ‘high-carbon- to ‘green- investments will lower emissions, greening the financial sector can be a major lever for countries to achieve their mitigation targets. Currently, policy makers, financial regulators, and financial market actors are designing and, to varying degrees, implementing a range of actions which reflect climate risk in financial and monetary policy, provide public co-financing in target sectors to mobilize private investment, and de-risk investments intended to have climate benefits. Green Financial Sector Interventions (GFSIs) aim to steer private and public financial capital toward low-carbon investment projects by providing incentives for capital reallocation.
The financial sector mitigation tool (FSMT) should allow for a solid estimate of the mitigation impact of key GFSIs depending on country specific and time dependent macro-financial conditions. It could be used to understand better the GFSIs- contribution to national climate mitigation targets. It could also be used to optimize GFSIs for mitigation impacts through simulating design variations. In the end, an effective framework for results-based climate finance needs a robust assessment of the macro-financial stability conditions of different forms of green finance instruments.
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