Do species-poor forests fool conservation policies? Assessing the role of forests, biodiversity and income in global conservation efforts

Laté Ayao Lawson

Journal of Environmental Planning and Management, 2020, vol. 63, issue 7, 1196-1214

Abstract: This paper exploits World Development Indicators and IUCN Red-List data to empirically assess the socio-economic and environmental drivers of conservation efforts. In addition to spatial spillovers, our results first indicate that forest cover, income level along with good political institutions positively drive protected area (PA), while human population growth conflicts with nature conservation efforts. Second, indicators of biodiversity (species richness and extinction risk) are found to be non-significant predictors of PA share, suggesting that species-rich countries are not predominantly the ones sheltering the largest PA share. Although species-poor forests matter as well, in addition to ecosystem-centered approaches, our results encourage conservation practitioners to further account for species richness and extinction risks in global conservation policies.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/09640568.2019.1646634 (text/html)
Access to full text is restricted to subscribers.

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:taf:jenpmg:v:63:y:2020:i:7:p:1196-1214

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJEP20

DOI: 10.1080/09640568.2019.1646634

Access Statistics for this article

Journal of Environmental Planning and Management is currently edited by Dr Neil Powe, Dr Ken Willis and George Bill Page

More articles in Journal of Environmental Planning and Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().