Template-Type: ReDIF-Article 1.0
Author-Name: Zharkimbekova, Kamila S.
Author-Name-First: Kamila S.
Author-Name-Last: Zharkimbekova
Author-Email: zharkimkam@gmail.com
Author-Workplace-Name: M. Auezov South Kazakhstan University, Shymkent, Kazakhstan,
Author-Name: Niyazbekova, Roza K.
Author-Name-First: Roza K.
Author-Name-Last: Niyazbekova
Author-Email: econuky@gmail.com
Author-Workplace-Name: M.Auezov South Kazakhstan University, Shymkent, Kazakhstan
Author-Name: Yessirkepova, Altyn M.
Author-Name-First: Altyn M.
Author-Name-Last: Yessirkepova
Author-Email: yessirkepovaaltyn@gmail.com
Author-Workplace-Name: M.Auezov South Kazakhstan University, Shymkent, Kazakhstan
Author-Name: Baineyeva, Parida
Author-Name-First: Parida
Author-Name-Last: Baineyeva
Author-Email: paridabaineyeva@mail.ru
Author-Workplace-Name: Zh.A. Tashenev University, Shymkent, Kazakhstans,
Author-Name: Kanashayev, Daulet
Author-Name-First: Daulet
Author-Name-Last: Kanashayev
Author-Email: kanashoyev@gmail.com
Author-Workplace-Name: M.Auezov South Kazakhstan University, Shymkent, Kazakhstan
Author-Name: Khassenova, Laura A.
Author-Name-First: Laura A.
Author-Name-Last: Khassenova
Author-Email: laurakhassenova7@gmail.com
Author-Workplace-Name: M.Auezov South Kazakhstan University, Shymkent, Kazakhstan
Author-Name: Bolganbayev, Artur
Author-Name-First: Artur
Author-Name-Last: Bolganbayev
Author-Email: artur.bolganbayev@ayu.edu.kz
Author-Workplace-Name: Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkestan, Kazakhstan.
Title: The Impact of Countries' Artificial Intelligence Readiness Levels on New Business Establishment: Controlling for Energy Consumption, Economic Growth, Inflation, and Population
Abstract: This study empirically examines how a country's AI readiness level affects the establishment of new businesses while controlling for key macroeconomic variables such as energy consumption, economic growth, inflation, and population growth. It specifically highlights Kazakhstan, a country with significant potential for digital transformation and entrepreneurial development, to clarify the relationship between AI readiness indicators and new business startups at the national level. The analysis utilizes subcomponents of the AI Preparedness Index (AIPI) developed by the International Monetary Fund, which includes digital infrastructure, innovation and economic integration, human capital and labor market policies, and regulation and ethics indicators. The World Bank's "Starting a Business" index is used as a measure of new business establishments. By employing secondary data from various countries, hierarchical regression is applied to assess the additional explanatory power of AI-related indicators on new business formation in a stepwise fashion. The findings indicate that macroeconomic variables such as economic growth, energy consumption, inflation, and population growth have a statistically limited impact on the new business establishment index. In contrast, all sub-indices related to artificial intelligence readiness exert positive and significant effects on new business establishment. Notably, the dimensions of digital infrastructure and regulatory and ethical considerations demonstrate higher explanatory power and effect size. The results underscore that entrepreneurial activity is influenced not only by macroeconomic conditions but also by digital, technological, and institutional capabilities. Therefore, this study emphasizes that AI readiness has become a crucial structural component supporting new business establishment and offers important implications for digital transformation and entrepreneurship policies.
Keywords: Artificial intelligence readiness index; Neural networks; New business establishment; Energy consumption; Economic growth; Inflation; Population; Kazakhstan
Journal: International Journal of Energy Economics and Policy
Pages: 1150-1159
Volume: 16
Issue: 2
Year: 2026
Month: 01
DOI: 10.32479/ijeep.23016
File-URL: https://econjournals.com/index.php/ijeep/article/download/23016/9875
File-Format: application/pdf
Handle: RePEc:eco:journ2:v:16:y:2026:i:2:id:23016