Green Infrastructure Finance: The Next Stage in Green Infrastructure Implementation

Authors: Rae Zimmerman*, NEW YORK UNIVERSITY, Ryan Brenner, NYU Wagner
Topics: Environment, Water Resources and Hydrology, Anthropocene
Keywords: green infrastructure, green infrastructure finance, flood management, land use
Session Type: Paper
Day: 4/5/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Jefferson, Marriott, Mezzanine Level
Presentation File: No File Uploaded


The popularity and diversity of green infrastructure (GI) is now moving toward interest in GI financing (GIF) to support GI implementation. GIF strategies reflect a wide diversity and range in geographic distribution, amount and type of project supported, which this paper presents. This work provides those who use, design and make decisions about GI funding mechanisms with examples and lessons learned. Finance and investment for GI is first briefly described followed by research findings for individual GIF datasets. Diverse funding sources, public, private, and mixed funding, support GI, plus climate and general environmental funding and gray infrastructure funds. Analyses for a number of GI funding data sets are presented, nationally and locally, from a landscape architects association, “Save the Rain” (Syracuse and non-Syracuse areas), and the NYS Green Infrastructure Grants Program (GIGP) and Clean Water State Revolving Fund. Levels and trends for NYS’ GIGP, for example, reveal that: Between 2009 and 2016 $135 million was awarded; Funding levels by project type and different GI technologies are generally similar, however, the average and range for public building grants were higher and the range was much greater for green roofs; multiple GI technologies and multiple funding sources are often used for a given project. The variety of GIF mechanisms and applicability are often based on tradition and opportunity, making it difficult to develop widely applicable recommendations. Nevertheless, directions for research with better data are suggested to obtain better insights.

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