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Suitability of discrete choice experiments for landscape management under the European Landscape Convention

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  • de Ayala, Amaia
  • Hoyos, David
  • Mariel, Petr

Abstract

Landscapes throughout the world are increasingly being altered as a result of human actions and natural processes, therefore necessitating urgent management. Acknowledging this situation, the European Landscape Convention (ELC) was approved in 2000 with the explicit objective of protecting, managing and planning European landscapes. In this paper, we provide empirical evidence on the suitability of the Discrete Choice Experiment (DCE) methodology for valuing multidimensional landscapes under the ELC. An application in the Basque Country, Spain, serves as an example to illustrate that the DCE methodology may be suitable for supporting the aims of the ELC because: (i) it is a tool for public consultation; (ii) it offers an insight into the relative attractiveness of key landscape attributes, such as native forests and farming activities; and (iii) it provides policy-makers with quantitative information on the public preferences for potential future landscape protection, management and planning programmes. The results highlight the important role that the conservation of native forests and the promotion of organic farming may play in the management of European landscapes, which in turn is found to be strongly culturally dependent.

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  • de Ayala, Amaia & Hoyos, David & Mariel, Petr, 2015. "Suitability of discrete choice experiments for landscape management under the European Landscape Convention," Journal of Forest Economics, Elsevier, vol. 21(2), pages 79-96.
    • Handle: RePEc:eee:foreco:v:21:y:2015:i:2:p:79-96
    DOI: 10.1016/j.jfe.2015.01.002
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    2. Zhaohui Zhang & Krishna P. Paudel & Kamal Upadhyaya, 2023. "Preference for rural living environment improvement initiatives in China," American Journal of Economics and Sociology, Wiley Blackwell, vol. 82(1), pages 61-78, January.
    3. Castillo-Eguskitza, Nekane & Hoyos, David & Onaindia, Miren & Czajkowski, Mikolaj, 2019. "Unraveling local preferences and willingness to pay for different management scenarios: A choice experiment to biosphere reserve management," Land Use Policy, Elsevier, vol. 88(C).
    4. Imamura, Kohei & Takano, Kohei Takenaka & Kumagai, Naoki H. & Yoshida, Yumi & Yamano, Hiroya & Fujii, Masahiko & Nakashizuka, Tohru & Managi, Shunsuke, 2020. "Valuation of coral reefs in Japan: Willingness to pay for conservation and the effect of information," Ecosystem Services, Elsevier, vol. 46(C).
    5. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2017. "A Monte Carlo Evaluation of the Logit-Mixed Logit under Asymmetry and Multimodality," Working Papers in Economics 17/23, University of Waikato.
    6. Sagebiel, Julian & Glenk, Klaus & Meyerhoff, Jürgen, 2017. "Spatially explicit demand for afforestation," Forest Policy and Economics, Elsevier, vol. 78(C), pages 190-199.
    7. Maria Gabriella Trovato & Dana Ali & Jessica Nicolas & Ammar El Halabi & Sarah Meouche, 2017. "Landscape Risk Assessment Model and Decision Support System for the Protection of the Natural and Cultural Heritage in the Eastern Mediterranean Area," Land, MDPI, vol. 6(4), pages 1-27, November.
    8. Raviv, Orna & Tchetchik, Anat & Lotan, Alon & Izhaki, Ido & Zemah Shamir, Shiri, 2021. "Direct and indirect valuation of air-quality regulation service as reflected in the preferences towards distinct types of landscape in a biosphere reserve," Ecological Economics, Elsevier, vol. 180(C).
    9. Mariel, Petr & Artabe, Alaitz, 2020. "Interpreting correlated random parameters in choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).

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    More about this item

    Keywords

    European Landscape Convention; Discrete Choice Experiment; Llanada Alavesa; Random Parameter Logit; Willingness to pay; Welfare measure;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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