Opeyemi Aromolaran

Personal Details

First Name:	Opeyemi
Middle Name:
Last Name:	Aromolaran
Suffix:
RePEc Short-ID:	par736

Affiliation

College of Economic and Management Sciences
University of South Africa (UNISA)

Pretoria, South Africa
https://www.unisa.ac.za/sites/corporate/default/Colleges/Economic-and-Management-Sciences
RePEc:edi:ceusaza (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Opeyemi AROMOLARAN & Nicholas NGEPAH & Charles Shaaba SABA, 2024. "Macroeconomic determinants of poverty in South Africa: the role of investments in artificial intelligence," Access Journal, Access Press Publishing House, vol. 5(2), pages 288-305, February.

   Cited by:

   1. Freeman Munisi Mateko, 2025. "Enhancing regional sustainable industrialisation and poverty reduction post‐COVID. The case of the common market for the eastern and southern Africa region," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(2), pages 2339-2351, April.
   2. Drago, Carlo & Costantiello, Alberto & Savorgnan, Marco & Leogrande, Angelo, 2025. "Driving AI Adoption in the EU: A Quantitative Analysis of Macroeconomic Influences," MPRA Paper 124973, University Library of Munich, Germany.
      • Carlo Drago & Alberto Costantiello & Marco Savorgnan & Angelo Leogrande, 2025. "Driving AI Adoption in the EU: A Quantitative Analysis of Macroeconomic Influences," Working Papers hal-05102974, HAL.
   3. Zhang, Qianyi, 2025. "AI-driven unemployment risk and household financial decision: Evidence from China," Journal of Asian Economics, Elsevier, vol. 99(C).
   4. Carlo Drago & Alberto Costantiello & Marco Savorgnan & Angelo Leogrande, 2025. "Macroeconomic and Labor Market Drivers of AI Adoption in Europe: A Machine Learning and Panel Data Approach," Economies, MDPI, vol. 13(8), pages 1-62, August.
   5. Liana Badea & George-Laurentiu Serban-Oprescu & Silvia-Elena Iacob & Suman Mishra & Mihaela-Roberta Stanef, 2024. "Artificial Intelligence and the Future of Work A Sustainable Development Perspective," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(Special 1), pages 1031-1031, November.

2. Awe, O. O. & Akinlana, D. M. & Yaya, O. S. & Aromolaran, O., 2018. "Time Series Analysis of the Behaviour of Import and Export of Agricultural and Non-Agricultural Goods in West Africa: A Case Study of Nigeria," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(2).

   Cited by:

   1. Furuoka, Fumitaka & Yaya, OlaOluwa S & Ling, Piu Kiew & Al-Faryan, Mamdouh Abdulaziz Saleh & Islam, M. Nazmul, 2023. "Transmission of risks between energy and agricultural commodities: Frequency time-varying VAR, asymmetry and portfolio management," MPRA Paper 117003, University Library of Munich, Germany, revised 04 Dec 2022.
      • Furuoka, Fumitaka & Yaya, OlaOluwa Simon & Ling, Pui Kiew & Al-Faryan, Mamdouh Abdulaziz Saleh & Islam, M. Nazmul, 2023. "Transmission of risks between energy and agricultural commodities: Frequency time-varying VAR, asymmetry and portfolio management," Resources Policy, Elsevier, vol. 81(C).
   2. Simla Tokgoz & Summer Allen & Fahd Majeed & Bas Paris & Olajide Adeola & Evans Osabuohien, 2020. "Distortions to agricultural incentives: Evidence from Nigerian value chains," Review of Development Economics, Wiley Blackwell, vol. 24(3), pages 1027-1045, August.
   3. Awe, Olushina Olawale & Musa, Ann Precious & Sanusi, Gbenga Peter, 2023. "Revisiting economic diversification in Africa's largest resource-rich nation: Empirical insights from unsupervised machine learning," Resources Policy, Elsevier, vol. 82(C).
   4. Olushina O Awe & Robert Mudida & Luis A. Gil‐Alana, 2021. "Comparative analysis of economic growth in Nigeria and Kenya: A fractional integration approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1197-1205, January.
   5. Awe, Olushina Olawale & Dias, Ronaldo, . "Comparative Analysis of ARIMA and Artificial Neural Network Techniques for Forecasting Non-Stationary Agricultural Output Time Series," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 14(4).

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