Valuing water purification services of forests
A production function approach using panel data from China's Sichuan province
Bibliographic Data
| ID | 21691053 |
|---|---|
| Authors | Zhaoyang Liu (0000-0003-0124-0113, University of Cambridge, corresponding author), HeQing Huang (0000-0002-5328-3994, Peking University) |
| Year | 2022 |
| Volume | 27 |
| Issue | 6 |
| Pages | 491-510 |
| Publication date | 2022-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Development Economics (JOURNAL) |
| Journal identifiers | ISSN: 1355-770X • E-ISSN: 1469-4395 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1355770x21000425 |
| OpenAlex | W4221066862 |
| Language | EN |
| References cited | 46 |
The water purification functions of forests represent one of the most frequently invoked examples of nonmarket ecosystem services that are economically valuable. This study quantifies the monetary value of forests' water purification services in the form of the ensuing cost savings of municipal drinking water treatment, using a rich panel dataset from China's Sichuan province. Moreover, this study has undertaken a novel spatial piecewise approach to investigate the spatial patterns of such cost savings delivered by forests at different distances from the water intake point. The estimation results find that forests within a 2 km radius upstream from the water intake point have the most sizeable and statistically significant cost saving effect. For forests within a 3 km radius, this effect becomes somewhat smaller but remains statistically significant. Beyond a 4 km radius, this effect becomes notably smaller and statistically equal to zero. Our analysis facilitates the optimal spatial targeting of forest conservation
Agricultural economics · China · Econometrics · Economics · Ecosystem · Ecosystem services · Geography · Natural resource economics · Panel data · Per capita · RADIUS · Computer Science · Economic and Environmental Valuation · Environmental Science · Housing Market and Economics · Mathematics · Water resources management and optimization · Ecology
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| Citation velocity | historical |
|---|---|
| Highly cited | No |