scholarly journals Willingness to Pay for Green Building Features in the Medium-Income Residential Market of Makurdi, Nigeria

2021 ◽  
Vol 7 (11) ◽  
pp. 4036-4045
Author(s):  
Vincent Kpamsar Takuh ◽  
◽  
Adegbenga Adeyemi ◽  
Muhammad Umar Bello ◽  
◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Green Building ◽  
Residential Market

scholarly journals Tenants Willingness to Pay for Green Features in Office Properties

2018 ◽  
Vol 2 (2) ◽  
pp. 233-242 ◽  
Author(s):  
M. O. Oyewolo ◽  
M. O. Komolafe
Keyword(s):  
Willingness To Pay ◽  
Indoor Air ◽  
Site Selection ◽  
Green Building ◽  
Rain Water ◽  
Awareness Campaign ◽  
Direct Benefits ◽  
Site Design ◽  
Structured Questionnaire ◽  
Land Scape

The study investigates tenants’ willingness to pay for green features in office properties in Lagos, Nigeria. This is with a view to determining the inclinations of users to green buildings. Data for the study were collected through the use of structured questionnaire administered using purposive sampling. Tenants’ Willingness To Pay Index (TWTPI) was used to measure the tenants’ willingness to pay for green building features. The features considered were ‘Water, Rain Water and Sewage’, Site Selection, Site Design and Land Scape Ecology’, ‘Building Ecology, ‘Waste and Recycling’, ‘Indoor Air Climate’, Material use and Conservation’, and Owner and Occupant Education’. The willingness of tenants to pay for features such as ‘Energy Conservation’, ‘Water, Rain Water and Sewage’ and ‘Site Selection, Site Design and Land Scape Ecology’ ranked first, second and third with TWTPI of 3.12, 2.72 and 2.71respectively. This finding shows that the majority of the features had a TWTPI of less than 3(out of 6) indicating that the level of willingness of tenants to pay for the majority of green features was below average. The paper advocates for relevant agencies to embark on aggressive awareness campaign which emphasizes the direct benefits of green building.

Students’ environmental responsibility and their willingness to pay for green buildings

2015 ◽  
Vol 16 (3) ◽  
pp. 327-340 ◽  
Author(s):  
Sharmin Attaran ◽  
Bilge Gokhan Celik
Keyword(s):  
Willingness To Pay ◽  
Online Survey ◽  
Environmental Attitudes ◽  
Green Building ◽  
Green Buildings ◽  
Assessment System ◽  
Statistical Analyses ◽  
Environmental Responsibility ◽  
Content Type ◽  
Environmentally Responsible

Purpose – The purpose of this study is to explore environmental attitudes and how such attitudes, when combined with a specific cost, can affect environmental behavior. Environmental attitudes are important to study due to the rising belief by building occupants that they are owed safe, healthy, environmentally responsible, and comfortable living environments. Universities around the world are responding to such demands as the majority of prospective college students and their parents claim that the environmental record is a determining factor in their selection of a university. Therefore, this study examines the environmental responsibility levels of a sample student population and to explore how these scores, along with gender, impact their willingness to pay for studying and living in green buildings. Design/methodology/approach – An online survey consisting of three parts was administered to undergraduate university students to measure environmental responsibility, willingness to pay and demographic variables. Statistical analyses including ANOVA, t-tests and correlation were conducted to explore relationships among variables. Findings – Results of statistical analyses show a direct correlation between environmental responsibility and willingness to pay for green buildings, as defined by a leading green building assessment system. Results also show that female students are more environmentally responsible than males. Practical implications – Successful generalizations of the findings of this research may lead to better marketing of green buildings to the general public. Originality/value – Findings present a unique opportunity for university administrations to develop more focused messages when communicating their environmental record with current and potential students.

Factors affecting homebuyers' willingness to pay green building price premium: Evidence from a nationwide survey in Israel

2018 ◽  
Vol 137 ◽  
pp. 280-291 ◽  
Author(s):  
Boris A. Portnov ◽  
Tamar Trop ◽  
Alina Svechkina ◽  
Shoshi Ofek ◽  
Sagi Akron ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Green Building ◽  
Nationwide Survey ◽  
Price Premium ◽  
Factors Affecting

Unveiling the Future: ASHA Dedicates Green Building

ASHA Leader ◽  
2008 ◽  
Vol 13 (6) ◽  
pp. 3-13
Author(s):  
Dee Naquin Shafer
Keyword(s):  
Green Building ◽  
The Future

Subjective Time Preference and Willingness to Pay for an Energy-Saving Durable Good

2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink
Keyword(s):  
Willingness To Pay ◽  
Energy Saving ◽  
Subjective Time ◽  
Durable Good ◽  
Discount Function ◽  
Hyperbolic Discount ◽  
The One ◽  
Two Parameter ◽  
Difference Effect ◽  
Better Than

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.

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