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A Structured Approach to Attribute Selection in Economic Valuation Studies: Using Q-methodology

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  • Jensen, Anne Kejser

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.

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  • Jensen, Anne Kejser, 2019. "A Structured Approach to Attribute Selection in Economic Valuation Studies: Using Q-methodology," Ecological Economics, Elsevier, vol. 166(C), pages 1-1.
    • Handle: RePEc:eee:ecolec:v:166:y:2019:i:c:7
    DOI: 10.1016/j.ecolecon.2019.106400
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    References listed on IDEAS

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    3. Xin Nie & Hubin Ma & Sihan Chen & Kailu Li & Zhenhan Yu & Han Wang & Zhuxia Wei, 2024. "Offshore Wind Farms and Tourism Development Relationship to Energy Distribution Justice for the Beibu Gulf, China," Land, MDPI, vol. 13(5), pages 1-23, May.
    4. Venus, Terese E. & Sauer, Johannes, 2022. "Certainty pays off: The public's value of environmental monitoring," Ecological Economics, Elsevier, vol. 191(C).
    5. Mahlalela, Linda Siphiwo & Jourdain, Damien & Mungatana, Eric Dada & Lundhede, Thomas Hedemark, 2022. "Diverse stakeholder perspectives and ecosystem services ranking: Application of the Q-methodology to Hawane Dam and Nature Reserve in Eswatini," Ecological Economics, Elsevier, vol. 197(C).
    6. Søren B. Olsen & Cathrine U. Jensen & Toke E. Panduro, 2020. "Modelling Strategies for Discontinuous Distance Decay in Willingness to Pay for Ecosystem Services," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 351-386, February.
    7. Namakando, Namakando, 2020. "Stakeholder perceptions of raw water quality and its management in Fetakgomo and Maruleng municipalities of Limpopo Province," Research Theses 334769, Collaborative Masters Program in Agricultural and Applied Economics.
    8. Tobias Holmsgaard Larsen & Thomas Lundhede & Søren Bøye Olsen, 2020. "Assessing the value of surface water and groundwater quality improvements when time lags and outcome uncertainty exist: Results from a choice experiment survey across four different countries," IFRO Working Paper 2020/12, University of Copenhagen, Department of Food and Resource Economics.
    9. Manuela Rozalia Gabor & Nicoleta Cristache, 2021. "Q or R Factor Analysis for Subjectiveness Measurement in Consumer Behavior? A Study Case on Durable Goods Buying Behavior in Romania," Mathematics, MDPI, vol. 9(10), pages 1-24, May.
    10. Yue Su & Congmou Zhu & Lin Lin & Cheng Wang & Cai Jin & Jing Cao & Tan Li & Chong Su, 2022. "Assessing the Cultural Ecosystem Services Value of Protected Areas Considering Stakeholders’ Preferences and Trade-Offs—Taking the Xin’an River Landscape Corridor Scenic Area as an Example," IJERPH, MDPI, vol. 19(21), pages 1-16, October.

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