QUANTITATIVE ANALYSIS OF THE IMPACT OF WATER SCARCITY ON THE ECONOMY

Authors

Abstract

This study used econometric panel models to examine the influence of water shortage on economic growth in Central Asian countries. To evaluate long-term panel data, we used a pooled regression model, a fixed effect model, and a random effect model on annual data from 1990 to 2023 across five nations. After creating the models, we ran diagnostic tests using several statistical techniques. After analyzing the models listed above, we determined that the Pooled regression model is best suited to our panel data. Based on the indicators of this model, it was discovered that increased water shortage in Central Asian countries had a negative impact on economic growth. Each unit increase in water scarcity causes a 0.0166 unit loss in GDP. The findings suggest that countries experiencing severe water scarcity should prioritize water resource management and establish a water conservation program that includes the construction of infrastructure to alleviate the shortage.

Keywords:

water scarcity economic growth Pooled Regression model

References

Emran, M. G. I., et al. (2024). Reasons behind the water crisis and its potential health outcomes. arXiv preprint. Retrieved from https://arxiv.org/abs/2403.07019.

Falkenmark, M. (1989).The massive water scarcity now threatening Africa: Why isnʼt it being addressed? Ambio, 18(2), 112-118.

Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251-1271.

Joshi, S., Ilievski, F., & Pujara, J. (2024). Knowledge-powered recommendation for an improved diet water footprint. arXiv preprint. Retrieved from https://arxiv.org/abs/2403.17426

Junguo Liu. (2024). Timing the first emergence and disappearance of global water scarcity. Nature Communications. Retrieved from https://www.nature.com/articles/s41467-024-51302-z

Mengru Wang. (2024). A triple increase in global river basins with water scarcity due to climate change. Nature Communications. Retrieved from https://www.nature.com/articles/ s41467-024-44947-3.

Prieto-Curiel, R., & Borja-Vega, C. (2024). The influence of urban morphology on water scarcity. arXiv preprint. Retrieved from https://arxiv.org/abs/2402.06676

Tianbo Fu (2022) Measurement and driving factors of grey water footprint efficiency in Yangtze River Basin.

Downloads

Published

How to Cite

QUANTITATIVE ANALYSIS OF THE IMPACT OF WATER SCARCITY ON THE ECONOMY . (2025). Economic Development and Analysis, 3(2), 70-82. https://doi.org/10.60078/2992-877X-2025-vol3-iss2-pp70-82