Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/89146
Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Ekonomika / Economics (S004)
Author(s): Novikova, Anastasija;Rocchi, Lucia;Vitunskienė, Vlada
Title: Consumers’ willingness to pay for agroecosystem services in Lithuania: first results from a choice experiment pilot survey
Is part of: Rural Development 2015: Towards the transfer of knowledge, innovations and social progress: 7th international scientific conference, 19–20th November, 2015, Aleksandras Stulginskis University, Lithuania [elektroninis išteklius]: proceedings. Akademija : Aleksandras Stulginskis University, 2015
Extent: p. 1-6
Date: 2015
Note: ISSN 1822-3230 (ankstesnių spausdintų leidinių)
Keywords: Choice modelling;Externalities;Agroecosystem services;Willingness to pay;Lithuania
ISBN: 9786094490927
Abstract: The paper focuses on the presentation of the construction of the research path for eliciting willingness to pay for agroecosystem services through choice experiments in Lithuania. This paper reports on use of a survey-based choice modelling method where repetitive choice situations about alternatives of agri-environmental schemes are created, for revealing how inhabitants of Lithuania value public goods, created in agroecosystems (wildlife populations, quality of drinking water and the formation and improvement of agricultural landscape); the attitudes of the residents of Lithuania concerning the maintenance of these environmental services in the countryside; to elicit Lithuanian households' WTP and the demand for abovementioned services. Two pilot surveys were implemented between 2015 June – July in order to test and improve the choice experiment questionnaire. The result of these surveys showed that the questionnaire is accepted and well understood by the respondents. The results of the modelling shows that all the attribute coefficients are significant and the signs are as expected, positive for the environmental attributes and negative for the price attribute; moreover the model fits well and could be used for the massive survey
Internet: http://conf.rd.asu.lt/index.php/rd/article/view/148
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml7.8 kBXMLView/Open

MARC21 XML metadata

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats


CORE Recommender

Page view(s)

58
checked on Feb 10, 2020

Download(s)

8
checked on Feb 10, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.