Rutgers study says pipeline will boost economy

June 8, 2017

While a Rutgers University study says improvements to Transco’s natural gas pipeline will boost the state’s economy, environmentalists say its conclusions are “full of hot air.”

The study by the Edward J. Bloustein School of Planning and Public Policy found that the project will generate $239.9 million in additional economic activity in New Jersey, including 2,411 direct and indirect jobs during construction, $171.9 million in labor income and $16.4 million in local and state taxes.

MyCentralJersey.com, June 8, 2017

Recent Posts

Dan Kennedy (MCRP ’07): CRE Roadmap for Next Governor

As New Jersey prepares to elect its next governor, NAIOP NJ, the commercial real estate development association, has published a comprehensive roadmap for economic revitalization and sustainable development for the consideration of both candidates for governor. As a...

“Work Trends RU” Podcast with WorkingNation’s Jane Oates

This week's guest on the Heldrich Center's Work Trends RU podcast is Jane Oates, Senior Policy Advisor at WorkingNation. She and Dr. Carl Van Horn discuss WorkingNation’s mission, objectives, and accomplishments; the power of digital storytelling; the challenges of...

Zhang et al. Study Street-View Greenspace and Exercise

GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women Abstract Background Increasing evidence positively links greenspace and physical activity (PA). However, most studies use measures of greenspace, such...

NJSPL: Some College, No Credential Population in NJ

Overview of the Some College, No Credential Population and Educational Outcomes in New Jersey, 2023–2024 New Jersey State Policy Lab Supporting New Jersey residents in returning to college after leaving without a credential has been an increasing focus of the state’s...

Loh and Noland Explore Public Charging Station Disparities

Equal charging for all: Are there income-based disparities in public charging stations? Abstract We compare charging station accessibility for different income groups in the San Francisco Bay Area. Using a microsimulation model, we estimate charging station...