Overall Rating Silver
Overall Score 47.06
Liaison Daniela Shebitz
Submission Date Dec. 11, 2023

STARS v2.2

Kean University
IN-49: Innovation C

Status Score Responsible Party
Complete 0.50 / 0.50 Daniela Shebitz
Professor
Environmental and Sustainability Sciences
"---" indicates that no data was submitted for this field

Name or title of the innovative policy, practice, program, or outcome:
New Jersey Clean Communities

A brief description of the innovative policy, practice, program, or outcome that outlines how credit criteria are met and any positive measurable outcomes associated with the innovation:

Kean University is home to New Jersey Clean Communities (NJCC). NJCC is a statewide, comprehensive, litter-abatement program created by the passage of the Clean Communities Act in 1986. The Act provides a funding source for the program by placing a tax on fifteen categories of businesses that may produce litter-generating products. The Clean Communities Program Fund generates about $ 20 million each year and is disbursed each year to municipalities (80%), counties (10%), state parks service (10%), and the New Jersey Clean Communities Council, Inc. ($375,000).

The Clean Communities Council oversees the implementation of litter abatement programs in 558 municipalities and 21 counties, collects statistical reports, maintains a data base of information that tracks local programs, and implements a statewide program of public information and education that targets Clean Communities coordinators, schools, and the general public. The Clean Communities Council also administers New Jersey’s Adopt-a-Beach and Adopt-a- Highway programs.

Kean University provides a base of operations for NJCC and our students intern with them to gain valuable experience in community organizing, data collection and analysis, and sustainability.


A letter of affirmation from an individual with relevant expertise or a press release or publication featuring the innovation :
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The website URL where information about the programs or initiatives is available:
Additional documentation to support the submission:
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Data source(s) and notes about the submission:
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