Farmers׳ perceptions of developing forest based bioenergy in China

Mei Qu, Ying Lin, Can Liu, Shunbo Yao and Yang Cao

Renewable and Sustainable Energy Reviews, 2016, vol. 58, issue C, 581-589

Abstract: Farmers′ awareness of forest-based bioenergy developments will greatly determine the direction and succession of forestry projects. To obtain a better understanding of this awareness, a logistic regression model was applied to analyze the factors influencing farmers′ willingness to participate in the construction of bioenergy bases. The model was developed based on a survey of 573 household farmers in eight Chinese provinces. This study found that a majority of households have increased their daily use of commercial fuel. Moreover, a significant number of farmers are either uncertain about or unfamiliar with the concept of forest-based bioenergy. The model found that households with young and educated individuals, a higher forestland endowment, and a higher cognition and understanding of fossil fuels, have a higher willingness to learn about and participate in forest based bioenergy issues. The findings of this study will be useful for bioenergy forest cultivators, extension foresters, forest landowners, and policy makers.

Keywords: Awareness; Education; Forest based bioenergy; Logistic model (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032115016883
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:58:y:2016:i:c:p:581-589

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2015.12.305

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().