Aizhan Ibyzhanova

Dr. Aizhan Ibyzhanova

Institute of Economics, Zhangir khan West Kazakhstan agrarian-technical University, Oral, Batys Qazaqstan, Kazakhstan
orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 March 2024 in International Journal of Energy Economics and Policy
Verified
Journal Article
Open access
PDF file
AIAizhan Ibyzhanova
Aizhan Ibyzhanova
ZSZamzagul Sultanova
Zamzagul Sultanova
ZAZhanna T. Aliyeva
Zhanna T. Aliyeva
KTKarlygash Tastanbekova
Karlygash Tastanbekova
SASaken Ualikhanovich Abdibekov
Saken Ualikhanovich Abdibekov
KMKundyz Myrzabekkyzy
Kundyz Myrzabekkyzy
This study analyzes the impact of energy production and foreign trade on the economic growth of the Turkic Republics using the Panel Data method for the period 2000-2020. Previous scientific studies have shown that many different variables impact economic growth. This study, unlike others, focuses on the effect of energy production and foreign trade volume on economic growth. The findings showed that energy production affects the economic growth of Turkic Republics. Another important finding is that the effect of foreign trade volume on economic growth is not significant when exports and imports are considered together. This is noteworthy as it shows that energy production invariably has a significant impact on the economic growth of a country. In other words, it would be a beneficial approach for a country to give importance to energy production to increase economic growth.

8 February 2026 in International Journal of Energy Economics and Policy
Verified
Journal Article
Open access
ERElvira Rustenova
Elvira Rustenova
AIAizhan Ibyzhanova
Aizhan Ibyzhanova
AAAizhamal Aidaraliyeva
Aizhamal Aidaraliyeva
SBSergey Barykin
Sergey Barykin
LRLyudmila Gennadievna Rudenko
Lyudmila Gennadievna Rudenko
OVOlga Voronova
Olga Voronova
The global agro-industry is changing, with a shift toward high-tech, data-driven systems to tackle environmental challenges and resource shortages. This study examines how digital and energy transitions are occurring together within the agricultural innovation ecosystem, driven by global demand for sustainability. Using a dataset of more than 2 million patents filed from 2000 to 2019, the research maps how technology spreads with Main Path Analysis (MPA) and explores the factors behind this process using an Exponential Random Graph Model (ERGM). The MPA identifies 12 main technology paths, starting with GPS-based management and progressing to advanced, energy-efficient uses of AI, IoT, and blockchain. ERGM results show that the innovation network forms selective, trust-based clusters and follows a “Matthew Effect,” where leading technologies attract more investment. The analysis finds that aligning policy frameworks is the most important factor in building these networks, even more than traditional R&D spending. Environmental sustainability also has a strong positive effect, showing that the ecosystem favors technologies that lower carbon emissions and energy costs. While individual farmers do not yet have much influence on the larger innovation network, including them is important for fair technology sharing and system resilience. These results provide policymakers and agribusinesses with a strategic guide, showing that a successful digital and energy transition requires a balanced approach that combines market forces, robust regulations, and inclusive innovation.