Protected areas cover 17% of the world's land surface, yet credible evidence on their long-run economic and ecological impacts remains scarce. This paper estimates the effects of South Africa's protected areas on household income, bird biodiversity, and tourism consumer surplus. For the income and biodiversity analyses, it develops a machine-learning counterfactual approach that recovers the present-day impacts of protected areas created up to 100 years ago. Short-run impacts of newer protected areas are small and statistically insignificant, while older protected areas generate large gains. Prior research may have severely underestimated the benefits of protected areas by only estimating the short-run effects of newly established protected areas. In aggregate, this paper estimates that protected areas increase annual household income by approximately R300 billion (roughly 10% of 2011 GDP). This yields approximately 7.6 million job-equivalents attributable to South Africa's protected areas. Different types of protected areas play complementary roles in conserving different categories of threatened birds, demonstrating the value of South Africa's entire protected area network. A structural travel cost model estimates that South Africa's national parks generate R7.7 billion per year (2023 rand) in recreational value for domestic and international tourists. These results suggest that in South Africa there is little tradeoff between wildlife conservation and economic development. Realizing the economic and ecological benefits of protected areas, however, requires patience: returns to conservation accumulate over decades, not years.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 11 Enterprise
• Processor: INTEL(R) XEON(R) PLATINUM 8562Y+ (2.80 GHz) (2 processors)
• Memory available: 128.0 G
Run time: ~ 50 hours
To reproduce the findings in this paper, a replicator must:
RUN THIS FIRST.R to restore the environment. main_income.R, main_biodiversity.R, and main_tourism.R.Since not all the data is included, the package includes the results produced by replicators. These files can be used to review the results presented in the paper.
Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.
| Author | Affiliation | |
|---|---|---|
| Dennis Engist | University of British Columbia | engistd@mail.ubc.ca |
| Gabriel Englander | World Bank | aenglander@worldbank.org |
| Alan Lee | Centre for Functional Biodiversity, School of Life Sciences, University of KwaZulu-Natal; FitzPatrick Institute of African Ornithology, Department of Biological Sciences, University of Cape Town; BirdLife South Africa | alan.lee@birdlife.org.za |
| Frederik Noack | University of British Columbia | frederik.noack@ubc.ca |
2026-06-30
| Location | Code |
|---|---|
| South Africa | ZAF |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| MIT License | https://opensource.org/license/mit |
| World Bank IGO Rider | https://github.com/worldbank/metadata-editor/blob/main/WB-IGO-RIDER.md |
| Name | Affiliation | |
|---|---|---|
| Dennis Engist | University of British Columbia | engistd@mail.ubc.ca |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
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