Estimating the economic multipliers for wildlife-based tourism in Zambia
Grant Simuchimba,
James N Blignaut and
Espen Sjaastad
Development Southern Africa, 2024, vol. 41, issue 6, 987-1010
Abstract:
We derived 2015 wildlife-based tourism multipliers for the rural area of Zambia where input-output tables (I-OT) are unavailable. To estimate multipliers in a data-poor environment, the national direct requirements coefficients were first derived from the country’s 2010 I-OT. These direct requirements coefficients were re-scaled to rural area region by multiplication with the rural area production percentage shares, while the total requirements coefficients were computed through an inverse matrix conversion (Leontief inverse matrix). This procedure is particularly useful for rural area regions with active wildlife-based tourism, where input-output tables are unavailable, with time and financial resource constraints. The ranges of the derived direct multipliers for output, income, employment and value-added multipliers were 1.10–1.27, 0.04–0.20, 6.01–35.81 and 0.52–0.71, respectively. These estimated multipliers can be used in economic models for measurement of the economic impacts of protected areas is vital for planning and management purposes and for public understanding of wildlife resource values.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0376835X.2024.2357301 (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:deveza:v:41:y:2024:i:6:p:987-1010
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CDSA20
DOI: 10.1080/0376835X.2024.2357301
Access Statistics for this article
Development Southern Africa is currently edited by Marie Kirsten
More articles in Development Southern Africa from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().