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Do Forest Property Characteristics Reveal Landowners’ Willingness to Accept Payment for Ecosystem Services Contracts?

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  • Kang, Moon Jeong
  • Siry, Jacek
  • Colson, Gregory J.
  • Ferreira, Susana

Abstract

Previous research has found that the manner in which forests are managed reveals forest owners' goals and management preferences for their properties. In this study, we attempt to predict forest owners' participation in payments for ecosystem services (PES) programs using observable forest management in southeast Georgia, U.S. For this task, we rely on forest property characteristics identified from publicly available aerial images and databases. We examine whether and how forest property characteristics are related to family forest owners' preferences towards PES programs. The results from a random parameter logit model indicate that forest owners in southeast Georgia with planted pine forests, bottomland hardwood forests, or residential structures are more likely to participate in hypothetical PES programs. The results also indicate that forest owners' willingness to accept compensation to participate in PES programs is negatively related to the proportion of planted pine and bottomland hardwood forest areas, and to the existence of a residential structure on one's property. Findings of our study indicate the potential of revealed forest property characteristics in identifying and targeting PES programs.
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  • Kang, Moon Jeong & Siry, Jacek & Colson, Gregory J. & Ferreira, Susana, 2017. "Do Forest Property Characteristics Reveal Landowners’ Willingness to Accept Payment for Ecosystem Services Contracts?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258475, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea17:258475
    DOI: 10.22004/ag.econ.258475
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    Cited by:

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    2. Shrestha, Anusha & Grala, Robert K. & Grado, Stephen C. & Roberts, Scott D. & Gordon, Jason S. & Adhikari, Ram K., 2021. "Nonindustrial private forest landowner willingness to pay for prescribed burning to lower wildfire hazards," Forest Policy and Economics, Elsevier, vol. 127(C).
    3. Bowditch, Euan & Santopuoli, Giovanni & Binder, Franz & del Río, Miren & La Porta, Nicola & Kluvankova, Tatiana & Lesinski, Jerzy & Motta, Renzo & Pach, Maciej & Panzacchi, Pietro & Pretzsch, Hans & T, 2020. "What is Climate-Smart Forestry? A definition from a multinational collaborative process focused on mountain regions of Europe," Ecosystem Services, Elsevier, vol. 43(C).
    4. Qi Wen & Jie Fang & Xia Li & Fang Su, 2022. "Impact of Ecological Compensation on Farmers’ Livelihood Strategies in Energy Development Regions in China: A Case Study of Yulin City," Land, MDPI, vol. 11(7), pages 1-18, June.
    5. Amani Al-Assaf & Abeer Albalawneh & Mohammad Majdalawi & Lana Abu Nowar & Rabab Kabariti & Amgad Hjazin & Safaa Aljaafreh & Wafa’a Abu Hammour & Mai Diab & Nizar Haddad, 2021. "Local Communities’ Willingness to Accept Compensation for Sustainable Ecosystem Management in Wadi Araba, South of Jordan," Sustainability, MDPI, vol. 13(9), pages 1-15, May.
    6. Yang, Yi & Zhu, Yu & Zhao, Yiwen, 2024. "Improving farmers’ livelihoods through the eco-compensation of forest carbon sinks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    7. Shengnan Li & Baohang Hui & Cai Jin & Xuehan Liu & Fan Xu & Chong Su & Tan Li, 2022. "Considering Farmers’ Heterogeneity to Payment Ecosystem Services Participation: A Choice Experiment and Agent-Based Model Analysis in Xin’an River Basin, China," IJERPH, MDPI, vol. 19(12), pages 1-19, June.
    8. Augustynczik, Andrey Lessa Derci & Gutsch, Martin & Basile, Marco & Suckow, Felicitas & Lasch, Petra & Yousefpour, Rasoul & Hanewinkel, Marc, 2020. "Socially optimal forest management and biodiversity conservation in temperate forests under climate change," Ecological Economics, Elsevier, vol. 169(C).
    9. Ram K. Adhikari & Robert K. Grala & Stephen C. Grado & Donald L. Grebner & Daniel R. Petrolia, 2022. "Landowner Satisfaction with Conservation Programs in the Southern United States," Sustainability, MDPI, vol. 14(9), pages 1-23, May.
    10. Kai Xiong & Ning Zhang & Chih-Chun Kung & Fanbin Kong, 2019. "Determinants of Residents’ Willingness to Accept and Their Levels for Ecological Conservation in Ganjiang River Basin, China: An Empirical Analysis of Survey Data for 677 Households," Sustainability, MDPI, vol. 11(21), pages 1-18, November.
    11. Lin, Yongsheng & Dong, Zhanfeng & Zhang, Wei & Zhang, Hongyu, 2020. "Estimating inter-regional payments for ecosystem services: Taking China’s Beijing-Tianjin-Hebei region as an example," Ecological Economics, Elsevier, vol. 168(C).
    12. Hilsenroth, Jana & Grogan, Kelly A. & Crandall, Raelene M. & Bond, Ludie & Sharp, Misti, 2023. "Non-industrial private forest owners' preferences for fuel reduction cost-share programs in the southeastern U.S," Forest Policy and Economics, Elsevier, vol. 155(C).

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    Keywords

    Environmental Economics and Policy; Resource/Energy Economics and Policy; Land Economics/Use;
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