THE IMPACT OF LEED-ENERGY STAR CERTIFIED OFFICE BUILDINGS ON THE MARKET VALUE OF ADJOINING BUILDINGS IN NEW YORK CITY

2019 ◽  
Vol 14 (1) ◽  
pp. 31-52 ◽  
Author(s):  
Min Jae Suh ◽  
Annie R. Pearce ◽  
Yuhyun Song ◽  
Young Hoon Kwak ◽  
Jung In Kim ◽  
...  

Green building certification is a useful way to support objective evaluations of the sustainability of a building. Both the Leadership in Energy and Environmental Design (LEED) and Energy Star certifications are designed to reduce the negative environmental impacts of buildings and provide positive economic benefits to certified buildings. Given that a demonstrable positive economic impact is also required to satisfy one element of the triple bottom line of sustainability for these certifications, this study examined the economic impact of LEED and/or Energy Star certified office buildings on the market values of adjoining buildings in Manhattan, New York City (NYC), using a spatial analysis based on a Geographic Information System (GIS) and a statistical analysis utilizing R-Project. The study's findings reveal a positive impact for LEED and/or Energy Star certified office buildings on their adjoining buildings, pointing to the need for future research to investigate the spillover effect of LEED and/or Energy Star certified office buildings on other buildings in their neighborhood from a socio-economic standpoint.

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Daniel D Bu ◽  
Stella S Yi ◽  
Heesun Eom ◽  
Rienna Russo ◽  
Brandon Bellows ◽  
...  

Background: Sugar-sweetened beverages (SSB) are currently the single largest source of added sugar in the US diet, and consumption in New York City (NYC) remains high. Evidence suggests that a high sugar consumption increases the risk of coronary heart disease. To date, excise taxes on SSB have been implemented in several US jurisdictions. While reductions in SSB consumption have been reported in several places where the SSB tax was implemented, it is unclear what the long term health and economic impact an SSB tax could have within the demographically and socioeconomically diverse NYC. In addition, the impact of varying tax structures remains unknown. Objective: To project the cardiovascular health outcomes and cost-savings of variations on the penny-per-ounce SSB tax structure (simulating a half-penny to two-penny range) using a validated microsimulation model of cardiovascular disease. Methods: The Simulations for Health Improvement and Equity (SHINE) CVD Model was used to estimate the lifetime direct medical costs (2019 USD) and effectiveness of SSB tax from a healthcare sector perspective. Population demographics and health profiles were estimated using data from the 2013-2014 NYC Health and Nutrition Examination Survey. CVD risk factor trajectories and risk of incident CVD events were derived from six pooled prospective U.S. cohorts. Policy effects and price elasticity were derived from recent meta-analyses. SSB tax was modeled to directly affect incidence rates of CVD events and was derived from variations of the penny-per-ounce tax scheme. Costs were discounted at 3%. Results: Compared to the non-policy situation, the SHINE CVD model projected that an SSB tax would prevent 29,341 (95% CI: 11,747-46,935) coronary heart disease (CHD) events at a half penny-per-ounce rate, 37,034 (95% CI: 19,336-54,732), at one penny-per-ounce, and 68,846 CHD events (95% CI: 51,306- 86,386) at a two-pennies-per-ounce rate over the simulated lifetimes of the NYC population. Total cost savings over this time period ranged from $662 million (95% CI $584-$741 million), $714 million (95% CI: $620-$808 million), and $1.03 billion (95% CI $0.92 - $1.16 billion), or $13.5 million/year, $14.6 million/year, $21.0 million/year for half-penny, one-penny, and two-pennies-per-ounce taxes respectively. Conclusion: Using a computer simulation model, we showed how different increments of the penny-per-ounce SSB tax could result in substantial benefits within the NYC population in terms of CVD outcomes and overall health care cost savings. Results from the SHINE CVD model may inform the ongoing policymaking efforts.


Economies ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 89 ◽  
Author(s):  
Joshua Martin ◽  
Joshua Hall

Daily hotel data are employed, along with information on prices, revenue, demand and hotel occupancy, to analyze part of the local economic impact of the annual New York City (NYC) Marathon. As the largest competitive race in the world, the marathon attracts domestic and international competitors and spectators. The cancellation of the 2012 marathon due to Hurricane Sandy was estimated to lead to an increase of 4000 hotel nights as well as a 10% increase in the average daily room rate. Taken together, this is associated with a USD 3 million increase in hotel revenue. The results suggest a significantly lower local economic impact of the race than previously thought.


2017 ◽  
Vol 59 (3) ◽  
pp. 275-284 ◽  
Author(s):  
Min Gyung Kim ◽  
Hyunjoo Yang ◽  
Anna S. Mattila

New York City launched a restaurant sanitation letter grade system in 2010. We evaluate the impact of customer loyalty on restaurant revisit intentions after exposure to a sanitation grade alone, and after exposure to a sanitation grade plus narrative information about sanitation violations (e.g., presence of rats). We use a 2 (loyalty: high or low) × 4 (sanitation grade: A, B, C, or pending) between-subjects full factorial design to test the hypotheses using data from 547 participants recruited from Amazon MTurk who reside in the New York City area. Our study yields three findings. First, loyal customers exhibit higher intentions to revisit restaurants than non-loyal customers, regardless of sanitation letter grades. Second, the difference in revisit intentions between loyal and non-loyal customers is higher when sanitation grades are poorer. Finally, loyal customers are less sensitive to narrative information about sanitation violations.


2021 ◽  
Vol 56 (S2) ◽  
pp. 41-42
Author(s):  
Sanjay Pinto ◽  
Madeline Sterling ◽  
Faith Wiggins ◽  
Rebecca Hall ◽  
Chenjuan Ma

2021 ◽  
Author(s):  
Danielle Seidman ◽  
Brittney S. Zimmerman ◽  
Lauren Margetich ◽  
Serena Tharakan ◽  
Natalie Berger ◽  
...  

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