A worldwide analysis of trend in crop yields and yield variability: Evidence from FAO data
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DOI: 10.1016/j.econmod.2020.05.006
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- Vasileios Greveniotis & Elisavet Bouloumpasi & Stylianos Zotis & Athanasios Korkovelos & Constantinos G. Ipsilandis, 2021. "Yield Components Stability Assessment of Peas in Conventional and Low-Input Cultivation Systems," Agriculture, MDPI, vol. 11(9), pages 1-22, August.
- Hu, Xin & Zhu, Bo & Zhang, Bokai & Zhou, Sitong, 2024. "Do internal and external risk spillovers of the food system matter for national food security?," Economic Modelling, Elsevier, vol. 136(C).
- Hughes, Neal & Soh, Wei Ying & Lawson, Kenton & Lu, Michael, 2022. "Improving the performance of micro-simulation models with machine learning: The case of Australian farms," Economic Modelling, Elsevier, vol. 115(C).
- Sohrab Abdollahzadeh, 2021. "Sustainable Development of Foodservices under Uncertainty," Sustainability, MDPI, vol. 13(9), pages 1-14, May.
- Zhilu Sun & Teng Fu, 2022. "The Evolutionary Trends and Convergence of Cereal Yield in Europe and Central Asia," Agriculture, MDPI, vol. 12(7), pages 1-18, July.
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More about this item
Keywords
Crop yield trend; Crop yield variability; Food security; MM robust Estimator;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
- Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
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