Aljneibi Rashid S, Zervopoulos Panagiotis D, Kanas Angelos
University of Sharjah, College of Business Administration, Sharjah, United Arab Emirates.
University of Sharjah, Department of Management, Sharjah, United Arab Emirates.
Heliyon. 2024 Mar 19;10(7):e28168. doi: 10.1016/j.heliyon.2024.e28168. eCollection 2024 Apr 15.
This study explores the impact of information and communication technology (ICT), education, and research and development (R&D) on countries' economic efficiency and technology heterogeneity. A panel of 52 countries, classified into developed (31 sample countries) and developing (21 sample countries) during 2011-2019, were the data sources for the analysis. We obtained relative country-level economic efficiency and technology gap inefficiency estimates from a novel Bayesian data envelopment analysis (DEA) approach. Bias-corrected estimates yielded by this technique have proven to be valid. We then regressed the estimates on ICT, education, and R&D proxy variables using a two-step and an iterative generalized method of moments (GMM) for linear dynamic panel data. Our analysis mitigates possible feedback effects between the explanatory and response variables, as well as possible endogeneity. The novelty of this work goes beyond the use of a new data analysis technique, investigating the impact of the three factors mentioned above and the country classification on technology heterogeneity caused by differences in countries' market structures, regulatory frameworks, economic and knowledge ecosystems, and cultures. Based on this study's findings, fixed broadband subscriptions have the most significant effect on economic efficiency improvement, while R&D is the main driver for reducing technology gap inefficiency. Specifically, ICT-facilitated knowledge spillovers within and across country groups through R&D cooperation play a significant positive role in closing the technology gap. This finding is consistent with the catch-up theory.
本研究探讨信息通信技术(ICT)、教育以及研发(R&D)对各国经济效率和技术异质性的影响。2011 - 2019年期间,选取了52个国家组成的面板数据作为分析数据源,这些国家分为发达国家(31个样本国家)和发展中国家(21个样本国家)。我们通过一种新颖的贝叶斯数据包络分析(DEA)方法获得了国家层面的相对经济效率和技术差距无效率估计值。该技术产生的偏差校正估计值已被证明是有效的。然后,我们使用两步法和线性动态面板数据的迭代广义矩方法(GMM),对ICT、教育和研发代理变量的估计值进行回归分析。我们的分析减轻了解释变量和响应变量之间可能存在的反馈效应以及可能的内生性问题。这项工作的新颖之处不仅在于使用了一种新的数据分析技术,还在于研究了上述三个因素以及国家分类对因各国市场结构、监管框架、经济和知识生态系统以及文化差异所导致的技术异质性的影响。基于本研究的结果,固定宽带订阅对经济效率提升的影响最为显著,而研发是减少技术差距无效率的主要驱动力。具体而言,ICT通过研发合作促进国家群体内部和之间的知识溢出,在缩小技术差距方面发挥了显著的积极作用。这一发现与追赶理论相一致。