Predicting wasteful spending in tree planting programs in Indian Himalaya

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Predicting wasteful spending in tree planting programs in Indian Himalaya

Published Date

2022-06

Publisher

Type

Article

Abstract

Tree planting is widely promoted as a cost-effective natural climate solution, yet there are few evaluations of the implementation of tree planting. Our analysis of a unique dataset on tree planting in the Indian Himalayan state of Himachal Pradesh shows that over half of the state’s budget for tree planting is wasted on plantations that are unlikely to survive and/or are poorly designed to achieve the state’s goal of increasing forest cover. Himachal Pradesh (and India more generally) has been identified as a high potential area for natural climate solutions due to high government capacity, adequate funding, and government agencies with extensive planting experience. We combine data on the location and financial outlay for plantations, which allow us to analyze the relationship between plantations and social and biophysical conditions, with a machine learning model, trained on past land cover change, which predicts the likelihood of future tree cover loss in plantation areas. Our finding that even in this high potential area tree planting programs involve considerable wasted expenditure on ineffective plantations raises questions about optimistic assessments of the potential for tree planting to serve as a cost-effective natural climate solution. We suggest deemphasizing the target-based approaches that dominate present policy-making and high-profile scientific publications, which we argue are the cause of wasted expenditures in Himachal Pradesh. Instead policy-makers and scientists interested in natural climate solutions should focus on developing solutions that respond to local biophysical, social, and economic realities, and are implemented through transparent procedures that increase accountability to and reinforce the rights of forest dependent people.

Keywords

Description

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

10.1016/j.worlddev.2022.105864.

Previously Published Citation

Rana, Pushpendra, Forrest Fleischman, Vijay Ramprasad, and Kangjae Lee. 2022. "Predicting wasteful spending in tree planting programs in Indian Himalaya." World Development 154:105864. doi: https://doi.org/10.1016/j.worlddev.2022.105864.

Suggested citation

Rana, Pushpendra; Fleischman, Forrest; Ramprasad, Vijay; Lee, Kangjae. (2022). Predicting wasteful spending in tree planting programs in Indian Himalaya. Retrieved from the University Digital Conservancy, 10.1016/j.worlddev.2022.105864..

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.