Role of next generation access networks on COVID-19 propagation: Empirical assessment with a dynamic multinomial discrete choice model framework

Vitor Miguel Ribeiro
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Abstract

Through the application of discrete choice and machine learning models, the primary objective of this study is to assess the impact of NGA networks coverage on reducing the risk of contagion during the first wave of COVID-19 across 278 municipalities in mainland Portugal, while controlling for other domains under the tutelage of the local public administration. Benchmark estimations reveal that, while holding everything else constant, each spatial unit is 2.4 p.p. more likely to become a high-risk municipality with additional 10 ​000 cabled houses with NGA networks. In a multinomial discrete choice model setting, the technical novelty of this study lies in providing graphical visualization and economic interpretation of coefficients and average marginal effects as a function of the number of classes used to define the dependent variable, while ensuring the satisfaction of the IIA assumption. The positive and significant coefficients of NGA indicate that additional coverage of NGA networks increases the likelihood of municipalities becoming high-risk for increasing number of spatial units not belonging to the low-risk efficiency frontier. The significant, negative, and decreasing average marginal effects of NGA suggest that the ability to remain a low-risk municipality diminishes with increasing NGA networks coverage as the number of municipalities belonging to the low-risk efficiency frontier decreases. The analysis also confirms that the effect of NGA networks coverage on COVID-19 is statistically significant in the indirect channel. This impact persists due to the mediation of population density, which is directly influenced by NGA networks coverage. All these findings can be explained by the fact that benefits related to productive activities do not outweigh costs associated with leisure time. Hence, this research emphasizes the need for a normative discussion on the intended purpose of digital technologies built on top of NGA networks to ensure a level playing field in the post-pandemic era.

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下一代接入网络对COVID-19传播的作用:基于动态多项离散选择模型框架的实证评估
通过应用离散选择和机器学习模型,本研究的主要目标是评估NGA网络覆盖范围对降低葡萄牙大陆278个城市第一波COVID-19感染风险的影响,同时在当地公共行政部门的监督下控制其他领域。基准估计显示,在保持其他所有因素不变的情况下,每个空间单元成为高风险城市的可能性增加2.4个百分点,因为有额外的10,000个带有NGA网络的有线住宅。在多项离散选择模型设置中,本研究的技术新颖之处在于提供了用于定义因变量的类数的函数的系数和平均边际效应的图形可视化和经济解释,同时确保满足IIA假设。NGA的正显著系数表明,随着非低风险效率边界空间单元数量的增加,NGA网络的额外覆盖增加了城市变得高风险的可能性。NGA显著的、负的和不断下降的平均边际效应表明,随着NGA网络覆盖范围的增加,作为低风险城市的能力会减弱,因为属于低风险效率边界的城市数量会减少。分析还证实,NGA网络覆盖对COVID-19的影响在间接渠道中具有统计学意义。由于人口密度的中介作用,这种影响持续存在,而人口密度直接受到NGA网络覆盖的影响。所有这些发现都可以用这样一个事实来解释,即与生产性活动有关的收益并不超过与闲暇时间有关的成本。因此,本研究强调,有必要对建立在NGA网络之上的数字技术的预期目的进行规范讨论,以确保大流行后时代的公平竞争环境。
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