Willingness to pay for internet speed and quality

IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
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引用次数: 0

Abstract

This paper adds to a growing literature on the willingness to pay (WTP) for internet services. We surveyed 5,200 respondents across four demographically diverse United States (US) states, and developed a curve-fitting WTP estimation technique that builds on existing conjoint analysis models. We find that users are willing to pay an extra $1.13 per month for a 1 megabits per second (Mbps) faster internet and $45.52 per month for better connection quality. We document a strong non-linearity: a given speed increment generates the most value for users with the slowest internet but confers negligible value on users with the fastest internet. Specifically, improving speed from 1 Mbps to 25 Mbps creates 2.32 times more value than improving from 25 Mbps to 100 Mbps. A similar non-linearity arises in terms of internet quality. We report large WTP discrepancies by income levels and employment status. The results corroborate that internet subsidies are most impactful if they first assist users with the poorest internet access. In this sense, subsidizing the right population could be as important as – if not more important than – raising funds to subsidize internet access.

为网速和质量付费的意愿
本文是对互联网服务支付意愿(WTP)文献的补充。我们对美国四个不同人口统计的州的 5200 名受访者进行了调查,并在现有联合分析模型的基础上开发了一种曲线拟合 WTP 估算技术。我们发现,用户愿意为每秒 1 兆比特(Mbps)的网速每月多支付 1.13 美元,为更好的连接质量每月多支付 45.52 美元。我们发现了一个强烈的非线性现象:给定的网速提升对网速最慢的用户产生的价值最大,但对网速最快的用户产生的价值却微乎其微。具体来说,将速度从 1 Mbps 提高到 25 Mbps 所创造的价值是将速度从 25 Mbps 提高到 100 Mbps 所创造价值的 2.32 倍。在网络质量方面也出现了类似的非线性现象。我们报告了收入水平和就业状况的巨大 WTP 差异。结果证实,如果互联网补贴首先帮助的是上网条件最差的用户,则其影响最大。从这个意义上说,补贴合适的人群与筹集资金补贴上网一样重要,甚至更重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Telematics and Informatics
Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
17.00
自引率
4.70%
发文量
104
审稿时长
24 days
期刊介绍: Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.
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