{"title":"Finnish forest owners' willingness to participate in result-based carbon offset schemes.","authors":"Domna Tzemi , Jussi Leppänen , Hilja Autto , Emmi Haltia","doi":"10.1016/j.forpol.2025.103531","DOIUrl":null,"url":null,"abstract":"<div><div>Forests are vital carbon sinks, playing a key role in combating climate change by absorbing nearly one-third of global annual greenhouse gas emissions. In Finland, forests cover 75 % of the country's land area. However, there is currently no policy in place to encourage increased carbon sequestration on privately-owned forestland. This study aims to explore forest owners' preferences for results-based carbon offset schemes and their attributes, contributing to the debate on whether to compensate forest owners based on carbon sequestration. To achieve this, data on forest owners' preferences for alternative carbon offset schemes were collected through an online survey, and a choice experiment was conducted. The results revealed significant diversity among Finnish forest owners in their attitudes towards carbon offset schemes. However, compensatory carbon payments appeared to be the only attribute that would motivate respondents in all classes to participate in carbon schemes. The results of both the conditional logit (CL) model and the latent class model (LC) indicated a high preference among forest owners for the non-participation option, suggesting low willingness to accept new schemes.</div></div>","PeriodicalId":12451,"journal":{"name":"Forest Policy and Economics","volume":"177 ","pages":"Article 103531"},"PeriodicalIF":4.0000,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forest Policy and Economics","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389934125001108","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Forests are vital carbon sinks, playing a key role in combating climate change by absorbing nearly one-third of global annual greenhouse gas emissions. In Finland, forests cover 75 % of the country's land area. However, there is currently no policy in place to encourage increased carbon sequestration on privately-owned forestland. This study aims to explore forest owners' preferences for results-based carbon offset schemes and their attributes, contributing to the debate on whether to compensate forest owners based on carbon sequestration. To achieve this, data on forest owners' preferences for alternative carbon offset schemes were collected through an online survey, and a choice experiment was conducted. The results revealed significant diversity among Finnish forest owners in their attitudes towards carbon offset schemes. However, compensatory carbon payments appeared to be the only attribute that would motivate respondents in all classes to participate in carbon schemes. The results of both the conditional logit (CL) model and the latent class model (LC) indicated a high preference among forest owners for the non-participation option, suggesting low willingness to accept new schemes.
期刊介绍:
Forest Policy and Economics is a leading scientific journal that publishes peer-reviewed policy and economics research relating to forests, forested landscapes, forest-related industries, and other forest-relevant land uses. It also welcomes contributions from other social sciences and humanities perspectives that make clear theoretical, conceptual and methodological contributions to the existing state-of-the-art literature on forests and related land use systems. These disciplines include, but are not limited to, sociology, anthropology, human geography, history, jurisprudence, planning, development studies, and psychology research on forests. Forest Policy and Economics is global in scope and publishes multiple article types of high scientific standard. Acceptance for publication is subject to a double-blind peer-review process.