A structured approach to attribute selection in economic valuation studies: Using Q-methodology

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Standard

A structured approach to attribute selection in economic valuation studies : Using Q-methodology. / Jensen, Anne Kejser.

In: Ecological Economics, Vol. 166, 106400, 2019.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Jensen, AK 2019, 'A structured approach to attribute selection in economic valuation studies: Using Q-methodology', Ecological Economics, vol. 166, 106400. https://doi.org/10.1016/j.ecolecon.2019.106400

APA

Jensen, A. K. (2019). A structured approach to attribute selection in economic valuation studies: Using Q-methodology. Ecological Economics, 166, [106400]. https://doi.org/10.1016/j.ecolecon.2019.106400

Vancouver

Jensen AK. A structured approach to attribute selection in economic valuation studies: Using Q-methodology. Ecological Economics. 2019;166. 106400. https://doi.org/10.1016/j.ecolecon.2019.106400

Author

Jensen, Anne Kejser. / A structured approach to attribute selection in economic valuation studies : Using Q-methodology. In: Ecological Economics. 2019 ; Vol. 166.

Bibtex

@article{a9e7d6d0e57a44a58d6325e0272715fc,
title = "A structured approach to attribute selection in economic valuation studies: Using Q-methodology",
abstract = "The literature on economic valuation of ecosystem services increasingly recognizes that the welfare generating endpoint of biophysical changes could potentially be heterogeneous across individuals in the population. This paper suggests Q-methodology as a structured and transparent approach to attribute selection in Discrete Choice Experiments that is easy to document, by combining the in-depth subjectivity of qualitative methods and the statistical rigor of factor analysis to identify groups in the population. Valid welfare estimates are dependent on the beneficiaries being presented with relevant attributes in the scenario description. This paper develops and implements a three-step procedure to: 1) identify potential groups of beneficiaries motivated by distinct ecosystem service endpoints 2) classify respondents in a Discrete Choice Experiment into groups of beneficiaries, according to their ecosystem service motivation, and 3) tailor the design of the Discrete Choice Experiment to the group-specific ecosystem service endpoints of the beneficiaries. The application explores potential heterogeneity in the ecosystem service endpoints derived from water quality improvements in Denmark.",
keywords = "Attribute selection, Discrete Choice Experiments, Ecosystem service endpoint heterogeneity, Ecosystem service valuation, Q-methodology, Water quality",
author = "Jensen, {Anne Kejser}",
year = "2019",
doi = "10.1016/j.ecolecon.2019.106400",
language = "English",
volume = "166",
journal = "Ecological Economics",
issn = "0921-8009",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A structured approach to attribute selection in economic valuation studies

T2 - Using Q-methodology

AU - Jensen, Anne Kejser

PY - 2019

Y1 - 2019

N2 - The literature on economic valuation of ecosystem services increasingly recognizes that the welfare generating endpoint of biophysical changes could potentially be heterogeneous across individuals in the population. This paper suggests Q-methodology as a structured and transparent approach to attribute selection in Discrete Choice Experiments that is easy to document, by combining the in-depth subjectivity of qualitative methods and the statistical rigor of factor analysis to identify groups in the population. Valid welfare estimates are dependent on the beneficiaries being presented with relevant attributes in the scenario description. This paper develops and implements a three-step procedure to: 1) identify potential groups of beneficiaries motivated by distinct ecosystem service endpoints 2) classify respondents in a Discrete Choice Experiment into groups of beneficiaries, according to their ecosystem service motivation, and 3) tailor the design of the Discrete Choice Experiment to the group-specific ecosystem service endpoints of the beneficiaries. The application explores potential heterogeneity in the ecosystem service endpoints derived from water quality improvements in Denmark.

AB - The literature on economic valuation of ecosystem services increasingly recognizes that the welfare generating endpoint of biophysical changes could potentially be heterogeneous across individuals in the population. This paper suggests Q-methodology as a structured and transparent approach to attribute selection in Discrete Choice Experiments that is easy to document, by combining the in-depth subjectivity of qualitative methods and the statistical rigor of factor analysis to identify groups in the population. Valid welfare estimates are dependent on the beneficiaries being presented with relevant attributes in the scenario description. This paper develops and implements a three-step procedure to: 1) identify potential groups of beneficiaries motivated by distinct ecosystem service endpoints 2) classify respondents in a Discrete Choice Experiment into groups of beneficiaries, according to their ecosystem service motivation, and 3) tailor the design of the Discrete Choice Experiment to the group-specific ecosystem service endpoints of the beneficiaries. The application explores potential heterogeneity in the ecosystem service endpoints derived from water quality improvements in Denmark.

KW - Attribute selection

KW - Discrete Choice Experiments

KW - Ecosystem service endpoint heterogeneity

KW - Ecosystem service valuation

KW - Q-methodology

KW - Water quality

U2 - 10.1016/j.ecolecon.2019.106400

DO - 10.1016/j.ecolecon.2019.106400

M3 - Journal article

AN - SCOPUS:85070200160

VL - 166

JO - Ecological Economics

JF - Ecological Economics

SN - 0921-8009

M1 - 106400

ER -

ID: 234286340