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Using stated preference methods to assess environmental impacts of forest biomass power plants in Portugal

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As a renewable energy source, the use of forest biomass for electricity generation is advantageous in comparison with fossil fuels, however the activity of forest biomass power plants causes adverse impacts, affecting particularly neighbouring communities. The main objective of this study is to estimate the effects of the activity of forest biomass power plants on the welfare of two groups of stakeholders, namely local residents and the general population and we apply two stated preference methods: contingent valuation and discrete choice experiments, respectively. The former method was applied to estimate the minimum compensation residents of neighbouring communities of two forest biomass power plants in Portugal would be willing to accept. The latter method was applied among the general population to estimate their willingness to pay to avoid specific environmental impacts. The results show that the presence of the selected facilities affects individuals’ well-being. On the other hand, in the discrete choice experiments conducted among the general population all impacts considered were significant determinants of respondents’ welfare levels. The results of this study stress the importance of performing an equity analysis of the welfare effects on different groups of stakeholders from the installation of forest biomass power plants, as their effects on welfare are location and impact specific. Policy makers should take into account the views of all stakeholders either directly or indirectly involved when deciding crucial issues regarding the sitting of new forest biomass power plants, in order to achieve an efficient and equitable outcome.

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  • Anabela Botelho & Lina Sofia Lourenço-Gomes & Lígia Costa Pinto & Sara Sousa & Marieta Valente, 2015. "Using stated preference methods to assess environmental impacts of forest biomass power plants in Portugal," NIMA Working Papers 59, Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho.
    • Handle: RePEc:nim:nimawp:59/2015
    DOI: 10.1007/s10668-016-9795-6
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    2. Paula Ferreira & Madalena Araújo & Luc Hens, 2016. "Energy and environment: bringing together engineering and economics," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 18(5), pages 1275-1277, October.
    3. Nguyen Van Song & Thai Van Ha & Tran Duc Thuan & Nguyen Van Hanh & Dinh Van Tien & Nguyen Cong Tiep & Nguyen Thi Minh Phuong & Phan Anh Tu & Tran Ba Uan, 2021. "Development of Rice Husk Power Plants Based on Clean Development Mechanism: A Case Study in Mekong River Delta, Vietnam," Sustainability, MDPI, vol. 13(12), pages 1-10, June.
    4. Azevedo, Susana Garrido & Sequeira, Tiago & Santos, Marcelo & Mendes, Luis, 2019. "Biomass-related sustainability: A review of the literature and interpretive structural modeling," Energy, Elsevier, vol. 171(C), pages 1107-1125.
    5. Pinto, Lígia Costa & Sousa, Sara & Valente, Marieta, 2022. "Forest bioenergy as a land and wildfire management tool: Economic valuation under different informational contexts," Energy Policy, Elsevier, vol. 161(C).
    6. Maria Rosário da Silva e Silva & Edielza Aline Santos Ribeiro & Jardel Pinto Barbosa & Francisco Tarcísio Alves Júnior & Marcelino Carneiro Guedes & Paulo Guilherme Pinheiro & Lina Bufalino, 2020. "Quality attributes of commercial charcoals produced in Amapá, a Brazilian state located in the Amazonia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 719-732, February.

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    More about this item

    Keywords

    Forest Biomass; Stated Preference Methods; Contingent Valuation; Discrete Choice Experiments; Environmental Impacts; Public Attitudes;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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