The South African wildlife ranching sector: A Social Accounting Matrix Leontief multiplier analysis

Abstract

Orientation: There is startlingly little economic research on the South African wildlife sector which contributes toward disputes regarding the economic contribution of the sector.

Research purpose: The purpose of this article is to put into context the relative economic contribution of the wildlife ranching sector, as opposed to other land-use options in South Africa.

Motivation for the study: Growth in the wildlife ranching sector at the cost of other traditional farming practices resulted in disagreements amongst various role players about the impact thereof on the national economy. The controversy can most probably be explained by different beliefs, coupled with the lack of a proper understanding and quantification of the wildlife ranching sector’s contribution toward the economy.

Research methodology: The study employed a Social Accounting Matrix-based Leontief multiplier analysis for South Africa.

Main findings: Results from the multiplier analysis revealed that developments within the wildlife ranching sector are likely to make a relatively more superior contribution towards the economy, especially when compared to similar land-use options such as extensive livestock production.

Practical/managerial implications: It has been acknowledged by both academia and private sector that a major need exists for more research on the South African wildlife ranching industry, specifically looking at issues such as the industries, economic and social contributions, potentials and constraints. The research, therefore, contributes toward the depth of economic information and research regarding the South African wildlife sector.

Contribution/value added: The research provides valuable information in dealing with the ‘popular belief’, especially amongst some of South Africa’s decision makers, namely, that growth in the wildlife ranching sector is not or does not have the ability to contribute significantly toward economic and socioeconomic factors.