The study examined the impact of technology transfer via technology licensing on oil and gas sector performance in Nigeria between 1980 and 2021. This investigation was prompted by the concerning performance trends observed within the sector, characterized by declining oil production, divestments by key oil companies, and consequent reductions in government revenues. These challenges have led to increased volatility in foreign exchange earnings, rising job losses, and heightened environmental risks. Despite discussions at various levels aimed at enhancing sectoral performance, significant results have remained elusive, contributing to the enduring hardships experienced by consumers of oil and gas products. The study was analyzed using the Quantile Autoregressive Distributed Lag (QARDL) approach to test for the short and long-run impacts. Findings revealed that technology licensing registered has no significant impact on oil and gas production in Nigeria both in the short and long run. This suggests that there are potential inefficiencies or barriers in the technology transfer process, hindering Nigeria’s ability to fully capitalize on available technological advancements to enhance its oil and gas sector output. Hence, there is a need for policymakers and industry stakeholders to critically assess the existing licensing frameworks, identify potential bottlenecks or shortcomings, and implement corrective measures to facilitate more effective technology transfer and adoption. They should prioritize efforts to strengthen the institutional and regulatory environment surrounding technology licensing activities in the Nigerian oil and gas sector.
References
[1]
Adbi, A., Liu, X., & Mishra, A. (2020). Technology Licensing and Productivity Growth: Evidence from Manufacturing Firms in Developing Economies (August 21, 2020). Manufacturing and Service Operations Management. https://doi.org/10.2139/ssrn.3678450
[2]
Agar, J. (2020). What Is Technology? Annals of Science, 77, 377-382. https://doi.org/10.1080/00033790.2019.1672788
[3]
Ang, F., & Dakpo, K. H. (2021). Comment: Performance Measurement and Joint Production of Intended and Unintended Outputs. Journal of Productivity Analysis, 55, 185-188. https://doi.org/10.1007/s11123-021-00606-z
[4]
Araújo, C., & Teixeira, A. (2014). Determinants of International Technology Transfer: An Empirical Analysis of the Enterprise Europe Network. Journal of Technology Management & Innovation, 9, 120-134. https://doi.org/10.4067/S0718-27242014000300009
[5]
Arbelo, A., Arbelo-Pérez, M., & Pérez-Gómez, P. (2021). Profit Efficiency as a Measure of Performance and Frontier Models: A Resource-Based View. BRQ Business Research Quarterly, 24, 143-159. https://doi.org/10.1177/2340944420924336
[6]
Autio, E., & Laamanen, T. (1995). Measurement and Evaluation of Technology Transfer: Review of Technology Transfer Mechanisms and Indicators. International Journal of Technology Management, 10, 643-664.
[7]
Bingilar, P. F., & Kpolode, O. P. (2021). Capital Structure and Financial Performance of Oil and Gas Companies Listed on Nigeria Exchange Group. International Journal of Business and Management Invention, 10, 42-54.
[8]
Bozeman, B., Rimes, H., & Youtie, J. (2014). The Evolving State-of-the-Art in Technology Transfer Research: Revisiting the Contingent Effectiveness Model. Research Policy, 44, 34-49. https://doi.org/10.1016/j.respol.2014.06.008
[9]
Canavire-Bacarreza, G., & Castro P. L. (2021). Can Licensing Induce Productivity? Exploring the IPR Effect. Empirical Economics, 61, 549-586. https://doi.org/10.1007/s00181-020-01880-w
[10]
Carrol, L. S. L. (2017). A Comprehensive Definition of Technology from an Ethological Perspective. Social Sciences, 6, Article 126. https://doi.org/10.3390/socsci6040126
[11]
Cho, J. S., Kim, T. H., & Shin, Y. (2015). Quantile Cointegration in the Autoregressive Distributed-Lag Modeling Framework. Journal of Econometrics, 188, 281-300. https://doi.org/10.1016/j.jeconom.2015.05.003
[12]
Duasa, J. (2007). Determinants of Malaysian Trade Balance: An ARDL Bound Testing Approach. Global Economic Review, 36, 89-102. https://doi.org/10.1080/12265080701217405
[13]
Frimpong, M. J., & Oteng-Abayie, E. F. (2006). Bounds Testing Approach: An Examination of Foreign Direct Investment, Trade, and Growth Relationships. American Journal of Applied Sciences. https://ssrn.com/abstract=927169
[14]
Gaitan, M. G. (2021). Licensing as a Central Structure of technology Transfer Agreements—Joint Venture and Franchising Agreements Get Access Arrow. GRUR International, 70, 427-439. https://doi.org/10.1093/grurint/ikab032
[15]
Galli, N., & Botta, M. (2023). It’s Unfair! Non-Price Exploitation in ICT Patents Licenses. IIC, 54, 200-222. https://doi.org/10.1007/s40319-023-01287-x
[16]
Iheukwumere, O. E., Moore, D., & Omotayo, T. (2020). Investigating the Challenges of Refinery Construction in Nigeria: A Snapshot across Two-Timeframes over the Past 55 Years. International Journal of Construction Supply Chain Management, 10, 46-72. https://doi.org/10.14424/ijcscm100120-46-72
[17]
Kenaphoom, S. (2021). Introduction to Research Philosophy. Journal of Anthropological and Archaeological Sciences, 5, 657-661.
[18]
Kim, T., & White, H. L. (2003). On More Robust Estimation of Skewness and Kurtosis: Simulation and Application to the S\&P500, Index. https://api.semanticscholar.org/CorpusID:16913409
[19]
KPMG (2022). KPMG Newsletter, Issue No. 2022/01. KPMG Nigeria.
[20]
Lavoie, J. R., & Daim, T. (2019). Technology Transfer: A Literature Review. In T. Daim, M. Dabic, N. Basoglu, J. R. Lavoie, & B. J. Galli (Eds.), R&D Management in the Knowledge Era (pp. 421-438). Springer. https://doi.org/10.1007/978-3-030-15409-7_17
[21]
Martinez, C., & Zuniga, P. (2017). Contracting for Technology Transfer: Patent Licensing and Know-How in Brazil. Industry and Innovation, 24, 659-689. https://doi.org/10.1080/13662716.2016.1263889
[22]
Menhat, M., & Yusuf, Y. (2018). Factors Influencing the Choice of Performance Measures for the Oil and Gas Supply Chain-Exploratory Study. IOP Conference Series: Materials Science and Engineering, 342, Article 012091. https://doi.org/10.1088/1757-899X/342/1/012091
[23]
Mooi, E., & Wuyts, S. (2021). Value from Technology Licensing—The Role of Monitoring and Licensing Experience. International Journal of Research in Marketing, 38, 1034-1054. https://doi.org/10.1016/j.ijresmar.2021.01.002
Park, Y. S., Konge, L., & Artino, A. (2019). The Positivism Paradigm of Research. Academic Medicine, 95, 690-694. https://doi.org/10.1097/ACM.0000000000003093
[26]
Prokhorova, V., Reznik, N., Bozhanova, O., & Slastianykova, K. (2019). Technology Transfer as a Prerequisite of Innovative Development of Enterprises. SHS Web of Conferences, 67, Article 01011. https://doi.org/10.1051/shsconf/20196701011
[27]
Rigo, D. (2020). Global Value Chains and Technology Transfer: New Evidence from Developing Countries. Review of World Economics, 157, 271-294. https://doi.org/10.1007/s10290-020-00398-8
[28]
Shahbaz, M., Lahiani, A., Abosedra, S., & Hammoudeh, S. (2018). The Role of Globalization in Energy Consumption: A Quantile Cointegrating Regression Approach. Energy Economics, 71, 161-170. https://doi.org/10.1016/j.eneco.2018.02.009
[29]
Sharma, S. (2019). Experimental and Ex Post Facto Designs. Horizon University. https://www.researchgate.net/publication/333220493
[30]
Stasiak-Betlejewska, R. (2021). Technology Transfer Management and Knowledge Commercialization Strategy-Best Practices of public Universities. Conference Quality Production Improvement-CQP, 3, 140-149.
[31]
Tsai, K., & Wang, J. (2007). Inward Technology Licensing and Firm Performance: A Longitudinal Study. R&D Management, 37, 151-160. https://doi.org/10.1111/j.1467-9310.2007.00464.x
[32]
Wahab, S. A., Rose, R. C., & Osman, S. I. W. (2012). Defining the Concepts of Technology and Technology Transfer: A Literature Analysis. International Business Research, 5, 61-71. https://doi.org/10.5539/ibr.v5n1p61
[33]
WIPO (2015). IP Facts and Figures, Economics and Statistics Series. https://www.wipo.int/edocs/pubdocs/en/wipo_pub_943_2015.pdf
[34]
Zhu, H., Peng, C., & You, W. (2016). Quantile Behaviour of Cointegration between Silver and Gold Prices. Finance Research Letters, 19, 119-125. https://doi.org/10.1016/j.frl.2016.07.002
