Graphical representation of the findings of Panel Data Models.
The primary aspiration of this paper is to learn about the effects of economic growth, energy consumption, agriculture and irrigation water consumption and agriculture productivity on environmental pollution in five countries of Central Asia. The data cover the period from 1992 to 2020 by applying panel data models, namely the Panel FMOLS, Panel DOLS and Panel ARDL-PMG approaches. The results indicate that there is a positive long-term impact of economic growth, water productivity, energy consumption and electricity production on CO2 emissions while agriculture value added and trade openness have a negative and statistically significant influence on CO2 emissions in Central Asia. Country specific short-run coefficients from Panel ARDL reveal that energy consumption is the main driver for rise in the level of CO2 emissions in the countries under the study. Indeed, country level analysis generates unique nexus correlation among agriculture, energy and environmental degradation in each country of Central Asia.
Saidmamatov, O., Tetreault, N., Bekjanov, D., Khodjaniyazov, E., Ibadullaev, E., Sobirov, Y., & Adrianto, L. R. (2023). The Nexus between Agriculture, Water, Energy and Environmental Degradation in Central Asia—Empirical Evidence Using Panel Data Models. Energies, 16(7), 3206. MDPI AG. Doi: 10.3390/en16073206.
- Nexus Story // Afforestation of the dried bottom of the Aral Sea.
- Research Article // The impact of water conservation policies on the reallocation of agricultural water-land resources
- Research Article // An integrative analytical framework of water-energy-food security for sustainable development at the country scale: A case study of five Central Asian countries
- Research Article // Energy–Water Management System Based on MPC for a Greenhouse in a Mapuche Indigenous Community