2021
DOI: 10.3390/f12091219
|View full text |Cite|
|
Sign up to set email alerts
|

Estimating Global Forest-Based Employment

Abstract: There has been an ongoing interest in how important forests are for employment and what measures need to be taken to reduce decent work deficits. This study aims to contribute to the existing debate on the extent of informal and subsistence employment globally, with a particular focus on the forestry and logging sub-sector. Estimates on employment numbers not captured in the official statistics are aggregated with the recent official reported data to demonstrate a partial overview of global forest-based employ… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
6
0

Year Published

2022
2022
2025
2025

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 13 publications
(6 citation statements)
references
References 18 publications
0
6
0
Order By: Relevance
“…of the total workforce above the global average (1% of total employment for all economic activities) (Lippe et al 2021). This share is comparable to that reported for Finland at about 2.5% as of year 2020 (LUKE 2023).…”
Section: Forest Sector Socio-economic Trends Gauged By Indicatorsmentioning
confidence: 99%
“…of the total workforce above the global average (1% of total employment for all economic activities) (Lippe et al 2021). This share is comparable to that reported for Finland at about 2.5% as of year 2020 (LUKE 2023).…”
Section: Forest Sector Socio-economic Trends Gauged By Indicatorsmentioning
confidence: 99%
“…The community's involvement in forest management will make it easier to monitor forest management because the community itself is involved in the management and receives benefits from the social forestry program. This shows the importance of the work of communities around forest areas [165]. The local community controls a clearly and legally defined area and is supposed to be free from all sorts of immediate state influence on resource utilization [166].…”
Section: Environmental Partnershipmentioning
confidence: 99%
“…Accordingly, four relevant attribute variables are selected namely level of informality, annual business profit, access status to social security and size of the business (number of workers). The optimal number of clusters is chosen based on the maximal average silhouette width for the entire dataset, which can range from -1 to +1 (Kaufman and Rousseeuw, 2005;Lippe et al, 2021). We further checked the group mean difference between the final chosen clusters or segmentations of the Jua Kali wooden furniture microenterprises.…”
Section: Statistical Approachmentioning
confidence: 99%