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Record W116720549

Relative willingness to pay for environmentally friendly products and its relation with eco-certification

2012· dissertation· en· W116720549 on OpenAlexaboutno aff
Peter Freriks

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsCertificationEnvironmentally friendlyCertificateBusinessWillingness to payProduct (mathematics)MarketingBachelorLegislationEngineeringGeographyEconomicsManagementPolitical scienceMathematics
DOInot available

Abstract

fetched live from OpenAlex

This research investigated the relationship between eco-certification and the willingness to pay (WTP) for environmentally friendly branded products. The research was originated in Canada, where Essoussi and Linton (2010) compared products with an recycled component and tested what the impact was for different product groups on consumers’ WTP. This research is an important part of a widely international investigation to environmentally friendly products. The main reason for it is that there is a significant increase of interest in natural environment because legislation in many countries aims at diverting disposed product from waste dumps to consumers. The main aim of this research was to see if an interest in environmentally friendly products concerns appears to lead to the feeling that environmental certification is important. This was done by asking respondents the maximum price they would pay for a branded and recycled products. The same question was asked about branded and recycled products with an eco-certificate, so that those two variables can be compared. 230 students from the University of Twente were asked to fill in a questionnaire about environmentally friendly products. The participant were first year bachelor students from four different bachelor programs: Business Administration, International Business Administration, Civil Engineering and Industrial Design. The surveys were conducted in January and February 2011. Results indicated that people are WTP more for branded and recycled products with an eco-certificate vs. non-certificated branded and recycled products. This counts for five of the six product groups. Only for Xerox white paper, respondents would not pay a price premium for an eco-certificate. Another result, which is similar to the study of Essoussi and Linton (2010), is that the consumers’ WTP price premium for recycled products with an eco-certificate is product specific. Also the level of functional risk of recycled products with an eco-certificate has statistically proven that it is of influence on WTP. This means that products perceived with a low level of risk, like for example white paper (relatively low cost, no harm for the customer) are statistically different compared to products containing a high level of risk, like for example a car tire. This project has taken an initial step to see if environmental interest leads to the feeling that environmental certification is important. It can be concluded that eco-certification plays a significant role on the six tested product groups. Still, the main reasons or argumentation for buying eco-certificated products over regular recycled products needs to be further investigated, not only by asking the respondents the maximum price premium they want to pay, but also look for motivation why they want to pay more for a certificated product. Also psychological related items needs to be further understand, and at the same time companies must be convinced what kind of contribution and advantage eco-certification can produce towards environmentally friendly products.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.219
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2012
Admission routes1
Has abstractyes

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