期刊
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
卷 254, 期 -, 页码 292-299出版社
ELSEVIER
DOI: 10.1016/j.agee.2017.12.002
关键词
Air quality; Cost-benefit analysis; Nitrogen; Non-market valuation; Uncertainty; Water quality
资金
- Gund Institute for Environment at the University of Vermont
- Stanford University
- University of Minnesota
- World Wildlife Fund
- Nature Conservancy
- USDA McIntire-Stennis funding [2014-32100-06050]
Effective management of nitrogen (N) fertilizer is central to enhancing agricultural productivity, while improving water and air quality and mitigating climate change. Quantifying socially optimal rates of N fertilizer (i.e. maximizing net benefits to society while minimizing social costs) is a key component of any regulatory or incentive program designed to better manage N application. Here, we estimate spatially-explicit socially optimal N fertilizer application rates for corn in Minnesota that account for uncertainty, both in valuation techniques and model parameters. We find that socially optimal rates of N fertilizer application are between 0 and 161 kg ha(-1), whereas the private optimum is 165 kg ha-1. Choice of valuation methods shifts the spatial configuration and magnitude of the socially optimal N application rates illustrating the importance of valuation method and assumptions. Even after accounting for uncertainty in valuation methods, we find reducing rates of N fertilizer application offers significant opportunities to improve social welfare. By internalizing the social costs of nitrogen, net social benefits of N could increase by over $1100 ha(-1), even while accounting for declines in agricultural yields.
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