Evaluating the impact of rising fertilizer prices on crop yields
Abstract
Because of tensions on fossil energy and phosphorus markets, the rise in fertilizer prices observed during the last decades may continue in the future, putting into question production pathways relying heavily on crop intensification. To evaluate how, in this context, economic choices may alter crop yields, we first construct different fertilizer price scenarios to 2050 based on an econometric relation with oil and gas prices. Other possible scenarios, such as the continuation of historical trends, are also considered. The resulting changes in fertilizer price range between +0.8% and +3.6% per year over the 2005–2050 period. These scenarios are tested in a global land‐use model incorporating an endogenous representation of the land–fertilizer substitution. We find that the supply‐side response to rising fertilizer prices could lower crop yields in 2050 from −6% to −13%, with a corresponding increase in global cropland area ranging between 100 and 240 Mha if the demand for food and nonfood products has to be met. The sensitivity of these results is tested with regard to assumptions on food consumption, change in potential yield and nutrient use efficiency.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Anatomy of a crisis: the causes and consequences of surging food prices
Headey, D., & Fan, S. (2008) · Agricultural Economics · doi:10.1111/j.1574-0862.2008.00345.x · Cited by 725 · see citing works
Agricultural Research, Productivity, and Food Prices in the Long Run
Alston, J. M., Beddow, J. M., & Pardey, P. G. (2009) · Science · doi:10.1126/science.1170451 · Cited by 428 · see citing works
Lotze‐Campen, H., Müller, C., Bondeau, A., Rost, S., Popp, A., & Lucht, W. (2008) · Agricultural Economics · doi:10.1111/j.1574-0862.2008.00336.x · Cited by 325 · see citing works
Flagged first, then by citations
- Authors
- Brunelle, T., Dumas, P., Souty, F., Dorin, B., & Nadaud, F.
- Affiliations
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement (FR)
- Université de Versailles Saint-Quentin-en-Yvelines (FR)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Brunelle, T.
- Venue
- Agricultural Economics
- Publisher
- Wiley
- Published
- 2015-03-31
- Volume
- 46
- Issue
- 5
- Pages
- 653-666
- ISSN
- 0169-5150 (ISSN-L)
- 1574-0862
- OpenAlex
- W2101400178
- Cited by
- 134
- References
- 3
- Citations by year
- 2026: 13 · 2025: 18 · 2024: 22 · 2023: 24 · 2022: 14 · 2021: 13 · 2020: 10 · 2019: 4 · 2018: 8 · 2017: 3 · 2016: 4 · 2015: 1
- FWCI
- 15.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Agricultural Economics (publishedVersion)
- HAL (submittedVersion)
- Agritrop (Cirad) (submittedVersion)
- Funders
- Directorate-General for Research and Innovation
- GIS Climat Environnement Société ACACCYA project
- Topics
- Social Sciences › Safety Research › Agricultural economics and policies
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economics of Agriculture and Food Markets
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Climate change impacts on agriculture
- Keywords
- fertilizer prices, crop yield, oil and gas prices, cropland expansion, food demand, nutrient use efficiency, crop intensification, climate change scenarios
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review