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17 results for “willingness to pay”

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zenodo48/100

European consumers ́ preference and willingness to pay for food products labelled as obtained by a circular farming system -in relation to environmental attitudes and consumption behaviours

<p>Data was collected with questionnaire-based research carried out in Belgium, Croatia, Hungary, Italy, Poland, and Spain as part of a European project. The survey questions were designed to obtain the Willingness to pay using 2 different methodologies the discrete choice experiment and the open-end choice experiment. The survey also included questions about consumers environmental attitudes, and consumption behavior (purchase, use and recycling), to identify if them have influence on preferences towards more sustainable food products. The 3 analyzed food products were pork meat, milk and bread, all of them obtained through different agricultural production systems (circular, conventional, and organic agriculture). The sample was stratified in terms of gender and age to be representative to the average population in each country. Furthermore, respondents included in this study were those that are mainly, or in part responsible for the household food shopping. The questionnaire was translated to the languages of the countries involved in the data collection and pre-launched using a pilot sample of 50 consumers in each case study country. &nbsp;Finally, a total of 5,362 validated questionnaires were obtained. Data was collected online using the Qualtrics market research company, and Net panel market company for Hungary from June 2021 to January 2022.</p>

opencc-by-4.0Sep 2023View details →
zenodo40/100

Dataset for publications "Willingness to pay for urban agriculture in Oslo" and "The Value of Urban Farming in Oslo, Norway: Community Gardens, Aquaponics and Vertical Farming"

<p>Dataset for publications &ldquo;(Willingness to pay for urban agriculture in Oslo)[https://zenodo.org/record/6510590#.Y851cXbMLfs]&quot;&nbsp;and &ldquo;The Value of Urban Farming in Oslo, Norway: Community Gardens, Aquaponics and Vertical Farming&rdquo;.&nbsp;The data was collected as a contingent valuation study of urban agriculture in Oslo, Norway.</p>

opencc-by-4.0May 2022View details →
zenodo40/100

Consumer's purchase intention and willingness to pay (WTP) for circular beef

<p>Data correspond to 5246 consumers&nbsp;responsible for buying food in their homes in 5 EU countries (Germany, Netherlands, Italy, Czech Republic, and Spain).&nbsp;The collected information corresponds to&nbsp;1) socio-demographic information, 2) t consumer&rsquo;s purchase intention and willingness to pay for beef obtained by circular farming (DCE), 3) and variables related to the components of the planned behaviour theory (social norms, environmental attitudes, consumer&acute; perceived behavioural control and frequency of consumption, and general sustainable behaviour).</p> <p>Data was collected online using a structured&nbsp;&nbsp;survey&nbsp;</p> <p>Data &nbsp;allow us to know consumers&#39; preferences and WTP for beef obtained by circular farming and some sustainable behaviours</p>

opencc-by-4.0Feb 2023View details →
edi40/100

Stated Choice Experiment to measure willingness to pay for stream health improvements in Macon County, NC, 2012-2013

We ran a survey with a random sample of 3500 residents in Macon County, NC. We drew the sample from a total of 26993 parcels identified in the Macon County tax data. We ran the survey between September 2012 and February 2013 and had a response rate of 40.8%. The survey included a stated choice experiment designed to measure willingness to pay for stream health improvements in the region. The survey also included a set of auxiliary questions to assess general preferences for land management and relevant environmental characteristics.

openCustomJan 2020View details →
edi40/100

Coastal SEES Collaborative Research: Non-Market Value Meta-Data on Willingness to Pay for Coastal Marsh Habitat Change

These data represent a meta-dataset of observations on per household economic value - represented by per household willingness-to-pay (WTP) - for improvements in coastal marsh habitat, drawn from stated-preference studies in the research literature. The metadata allow estimation of benefit transfer functions via meta-regression modeling. Within these econometric functions, the dependent variable is a comparable estimate of economic value (e.g., WTP) drawn from extant primary valuation studies. Independent variables represent observable factors hypothesized to explain variation in this value measure across observations. These functions can be used to produce out-of-sample predictions of WTP for coastal marsh habitat improvements at sites for which no primary valuation studies have been conducted. They can also be used to understand the factors associated with systematic variations in marsh habitat values across different sites and studies. These data are described in Vedogbeton, H. and R.J. Johnston. 2020. Commodity Consistent Meta-Analysis of Wetland Values: An Illustration for Coastal Marsh Habitat. Environmental and Resource Economics 75(4), 835-865, and allow replication of the results presented therein. The metadata are extracted from primary studies that estimate total (use and nonuse) per household WTP for changes in the quantity or quality of coastal marsh wildlife habitats or their services, in US and Canada. These studies were identified via a systematic review of the literature. The metadata combine information provided by these primary non-market valuation studies with publicly available external data extracted from sources such as the US Census, US National Historical GIS (https://www.nhgis.org/), and US Fish and Wildlife Service National Wetlands Inventory (https://www.fws.gov/wetlands/Data/Mapper.html). Studies included in the metadata are restricted to those that estimate total per household WTP for coastal wetland habitat changes using generally acce

openCustomOct 2020View details →
zenodo36/100

Household perceptions regarding bats and willingness to pay for their conservation within Mount Elgon Biosphere Reserve of Uganda

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2024View details →
zenodo36/100

Experimental auction to assess consumer perception and willingness to pay for ready-to-eat fresh salads with more sustainable packaging

<p>The provided Excel sheet contains a dataset generated from an experiment conducted face-to-face with consumers of ready to eat fresh salads on December 19th and 20th, 2023, using a questionnaire. It was an auction aimed at understanding consumers' preferences and willingness to pay for 100% recyclable and 100% biodegradable packaging.</p> <p>Each column in the table represents a particular variable, and each row corresponds to a specific record in the dataset. The dataset comprises 70 columns and 306 rows, where the first row contains the variable names and the second row describes the meaning or question associated with each variable.<br>To enhance readability, each variable is color-coded differently. This means that as you move from one color to another, you are transitioning from one variable to the next.<br>Most variables are derived from validated scales, such as General Shopping Behavior, General Personal Values and Attitudes, Environmental Consciousness Scale, Openness to Innovation Scale, NEP Scale, and Green Consumption Values. These scales are generally assessed using a Likert scale of 5 or 7 points for each statement or item included in the scale. Each statement is in a separate column, and the combined columns of statements form the respective variable, which is the scale in this context. Therefore, the total number of variables included in this dataset is 24.</p>

opencc-by-4.0May 2024View details →
zenodo32/100

Citizen's willingness to pay for public goods resulting from the implementation of innovation by food companies.

<p><span>The data consists of the results of the choice experiment conducted across six European countries in order to assess citizens' willingness to pay for public goods resulting from the implementation of innovation by food companies.&nbsp;&nbsp;&nbsp;&nbsp;</span></p>

opencc-by-4.0May 2024View details →
ClinicalTrials.gov32/100

Patients' Willingness-to-pay of Endodontic Treatment

ClinicalTrials.gov study NCT03118323. IPD Sharing: NO. Countries: 1. Publications: 4.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Willingness to Pay for Patient-centred Care

ClinicalTrials.gov study NCT01834313. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

A Non-interventional Study of Ability and Willingness to Pay for BIAsp 30 in a Real World Population With Type 2 Diabetes Mellitus (T2DM)

ClinicalTrials.gov study NCT03374774. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
zenodo28/100

Fairtrade chocolate purchase factors and willingness to pay

Open the record for dataset details and reuse information.

opencc-by-4.0Jul 2024View details →
zenodo28/100

Breaking Barriers to Carbon Capture and Storage: An Integrated Analysis of Scope, Information and Familiarity Effects on Willingness to Pay

Open the record for dataset details and reuse information.

opencc-by-4.0Jul 2024View details →
zenodo24/100

Dataset for a discrete choice experiment examining preferences and willingness to pay for health app assessments among healthcare stakeholders

<p>Data collected as part of a discrete choice experiment study which examined the preferences and willingness to pay for health app assessments with different value propositions among health app developers and health system representatives. The following documents are posted on Zenodo:</p> <ul> <li>Codebook for participant background information</li> <li>Participant background information</li> <li>Discrete choice experiment data</li> </ul>

restrictedcc-by-4.0Jul 2024View details →
zenodo24/100

Assessment of willingness-to-pay for bio-based fertilisers among farmers and agricultural advisors in the EU - Data and Code

<p>Dataset and code from the publication&nbsp;(10.1016/j.jclepro.2023.137548)</p>

opencc-by-4.0May 2023View details →
ClinicalTrials.gov24/100

Assessing Health-Related Quality of Life and Willingness to Pay for Weight Management in Asia-Pacific by Gender

ClinicalTrials.gov study NCT06260696. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov20/100

Determining Women's Preferences for Medical Abortion Using Willingness to Pay

ClinicalTrials.gov study NCT00472394. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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International Brain Laboratory public data

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