Abstract
Climate change imposes quantifiable pressure on agricultural productivity in water-scarce regions such as Egypt. This study measures the differential climate sensitivity of Egypt's two major vegetable crops—tomatoes and potatoes—using 26 years of time-series data (2000–2025). Time-series regression analysis reveals significant climate change: maximum temperatures increased 0.144°C annually (12.7% cumulative over 26 years), minimum temperatures increased 0.211°C annually (32.1% cumulative), while relative humidity declined 0.260 percentage points annually and rainfall declined 0.008 mm annually. Multiple regression elasticity analysis with mixed log-linear specification—wherein humidity and rainfall are log-transformed (ratio-scaled) while temperatures are in linear form (interval-scaled)—demonstrates striking differential crop vulnerabilities. Tomato yield exhibits positive elasticity to humidity (+2.80% per 1% humidity increase; p < 0.01) but faces vulnerability due to declining atmospheric moisture. Potato yield shows pronounced negative temperature elasticity (−3.25% per 1°C maximum temperature; p < 0.01) and negative rainfall elasticity (−5.53% per 1% rainfall increase; p < 0.05), while minimum temperature warming provides partial compensation (+2.09% per 1°C; p < 0.05). The combined net effect of asymmetric temperature warming on potato yield approaches zero, indicating stagnant productivity without adaptive intervention. Results showed the necessity of crop-specific climate adaptation strategies, including heat-tolerant variety selection, optimized irrigation management, and adjusted planting schedules to sustain food security in Egypt's arid agricultural context.
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References
- Allen, L. H., Boote, K. J., Jones, J. W., Jones, P. H., Pickering, N. B., & Rogers, H. H. (2006). Evapotranspiration and yield of peanut under air-CO₂ enrichment. Agronomy Journal, 98(3), 573–582. https://doi.org/10.2134/agronj2005.0224 [Google Scholar]
- Central Agency for Public Mobilization and Statistics. (2025). Agricultural statistics database. https://www.capmas.gov.eg [Google Scholar]
- Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366), 427–431. [Google Scholar]
- Durbin, J., & Watson, G. S. (1951). Testing for serial correlation in least squares regression II. Biometrika, 38(1–2), 159–177. https://doi.org/10.1093/biomet/38.1-2.159 [Google Scholar]
- Fatima, M. H. (2023). Assessing the impact of climate change on tomato crop productivity in Egypt. Alexandria Journal of Scientific Exchange, 44(3), 267–284. [Google Scholar]
- Food and Agriculture Organization. (2025). FAOSTAT agricultural database. https://www.fao.org/faostat [Google Scholar]
- Gachon, C., Saïnsbury, F., & Panagiota, K. (2005). Plant pathogens and interactions with fungal agroecosystems under climate change. Journal of Plant Pathology, 87(2), 65–82. https://doi.org/10.1007/BF03214057 [Google Scholar]
- Gujarati, D. N., & Porter, D. C. (2009). Basic econometrics (5th ed.). McGraw-Hill. [Google Scholar]
- Intergovernmental Panel on Climate Change. (2014). Climate change 2014: Impacts, adaptation, and vulnerability. Contribution of Working Group II to the Fifth Assessment Report. Cambridge University Press. [Google Scholar]
- Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2–3), 231–254. [Google Scholar]
- Mohamed, O. A., Abdel Yadi, A. F., & Iman, F. A. Q. (2022). A standard study of the impact of climate change on the productivity of major field crops in Egyptian governorates. Alexandria Journal of Scientific Exchange, 43(1), 45–67. [Google Scholar]
- Newey, W. K., & West, K. D. (1987). A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3), 703–708. https://doi.org/10.2307/1913610 [Google Scholar]
- Porter, J. R., & Semenov, M. A. (2005). Crop responses to climatic variation. Philosophical Transactions of the Royal Society B, 360(1463), 2021–2035. [Google Scholar]
- Rababa, A. M., & Al-Khatib, N. (2025). The impact of climate change on the productivity of some agricultural crops in Matrouh Governorate. Journal of Agricultural Economics and Social Sciences, 15(9), 407–411. [Google Scholar]
- Wael, A. F. A. M., & Gweily, A. (2023). Assessing the effects of some climate changes on the productivity of some agricultural crops in Egypt. Egyptian Journal of Agricultural Economics, 33(1), 78–95. [Google Scholar]
- World Bank Group. (2021). The climate change knowledge portal (CCKP): Climate data for Egypt. https://climateknowledgeportal.worldbank.org [Google Scholar]

