Journal of Forest Economics > Vol 39 > Issue

Feasibility of Landscape Value Trade between Landowners and Citizens in Reducing the Landscape Damage Caused by Wind Power

Erkki Mäntymaa, Natural Resources Institute Finland (Luke), Finland, erkki.mantymaa@luke.fi , Katja Kangas, Natural Resources Institute Finland (Luke), Finland, Jouni Karhu, Natural Resources Institute Finland (Luke), Finland, Eija Pouta, Natural Resources Institute Finland (Luke), Finland
 
Suggested Citation
Erkki Mäntymaa, Katja Kangas, Jouni Karhu and Eija Pouta (2024), "Feasibility of Landscape Value Trade between Landowners and Citizens in Reducing the Landscape Damage Caused by Wind Power", Journal of Forest Economics: Vol. 39: No. . http://dx.doi.org/10.1561/112.00000575

Forthcoming: 31 Jul 2024
© 2024 E. Mäntymaa, K. Kangas, J. Karhu and E. Pouta
 
Subjects
 
Keywords
JEL Codes: Q21, Q23, Q42, Q51
payments for ecosystem servicesharmful effects of wind turbinesforest landscapeslandscape value tradewillingness to paywillingness to acceptfeasibility of a PES mechanism
 

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Open Access

This is published under the terms of CC-BY.

In this article:
1. Introduction 
2. Previous Literature: Characteristics of a PES Scheme 
3. Material 
4. Methods 
5. Results 
6. Discussion and Conclusions 
Acknowledgements 
References 

Abstract

A mechanism of payment for ecosystem services (PES) to implement landscape value trade may partly address the visual disturbance caused by wind turbines by encouraging forest owners to change their forest management practices near housing areas close to wind farms. Here, we analyze the feasibility of implementing this mechanism in the case of landscape shields reducing the visual impacts of wind power using previous results and data on citizen and forest owner preferences. We evaluate the feasibility at various spatial scales. The results demonstrate that at the county level, willingness to pay (WTP) exceeds willingness to accept (WTA) compensation. Finally, if a PES mechanism is site-specific, its feasibility depends on how the demand for and supply of the service meet at the narrowest geographical level. In our study, the probability of agreement was low at the wind farm level (2%) but higher at the landscape shield level (41%).

DOI:10.1561/112.00000575