Models for the Economic Impacts of Forest Disturbances: A Systematic Review

Jun Zhai () and Zhuo Ning
Additional contact information
Jun Zhai: College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
Zhuo Ning: College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China

Land, 2022, vol. 11, issue 9, 1-16

Abstract: The frequency of forest disturbances has increased under intensifying climate changes, and the economic impacts of forest disturbances should receive more attention. This paper systematically reviews models of the economic impacts of forest disturbances and summarizes four commonly applied models, which are “with and without” analysis, equilibrium models, the intervention model, and the social welfare model. The advantages and disadvantages of these four models are presented and compared, and literature using these models is introduced. The review of the economic assessment of damage caused by forest disturbances is expected to provide insights for researchers in this field and useful information about economic losses, price dynamics, and welfare redistribution for policymakers.

Keywords: forest disturbances; “with and without” analysis; equilibrium model; intervention model; social welfare model (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2073-445X/11/9/1608/pdf (application/pdf)
https://www.mdpi.com/2073-445X/11/9/1608/ (text/html)

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:gam:jlands:v:11:y:2022:i:9:p:1608-:d:918684

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().