向邻居学习:美国各州宽带政策的传播

IF 5.9 2区 管理学 Q1 COMMUNICATION
Ryan Yang Wang , Krishna Jayakar
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引用次数: 0

摘要

本项目采用网络方法和皮尤慈善信托基金会宽带接入倡议组织(Pew Charitable Trusts' Broadband Access Initiate)策划的 "州宽带探索者"(State Broadband Explorer)数据集,研究了过去 30 年美国各州宽带政策的传播情况。美国 621 个有效的州宽带政策(截至 2021 年 1 月)被分为六大主题:宽带计划、竞争和监管、定义、资金和融资、基础设施接入以及立法意图。我们的分析策略分为两步:(1) 使用 NetInf 算法识别各州宽带政策扩散的潜在网络;(2) 识别预测观察到的扩散流的节点变量和二元变量。我们第二步的目标是检验两个相互竞争的假设:地理学习模型和(党派)共同学习模型,它们分别将地理邻近性和意识形态从属性作为政策扩散的主要驱动力。结果表明,地理毗连性是预测宽带政策传播的最重要因素。然而,结果也表明政治因素在预测宽带政策扩散方面的显著性较低。在节点因素中,只有一个因素,即(发送国)分裂的政府,能够显著地预测政策扩散的联系。在二元因素中,有一个变量支持政治同质性(即两个州共享相同类型的立法控制权)作为传播流动的重要预测因素。在美国,党派关系对宽带政策的推动作用似乎要小得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learning from the neighbors: The diffusion of state broadband policies in the United States

This project examines how state broadband policies diffused among the states in the United States over the last 30-year period utilizing a network approach and the State Broadband Explorer dataset curated by the Pew Charitable Trusts’ Broadband Access Initiate. The 621 valid state broadband policies in the U.S. (until January 2021) have been categorized into six main themes: broadband programs, competition and regulation, definitions, funding and financing, infrastructure access, and legislative intent. Our analytical strategy follows a two-step process: (1) to identify the latent network of broadband policy diffusion across the states using the NetInf algorithm; (2) to identify the nodal and dyadic variables that predict the observed diffusion flows. Our objective for the second step is to test out two competing hypotheses: the geographic learning model and the (co-)partisan learning model, which privilege geographic proximity and ideological affiliation respectively as the primary drivers of policy diffusion. The results show that geographic contiguity is the most significant factor predicting broadband policy diffusion. However, the results also identify the low salience of political factors in predicting broadband policy diffusion. Among nodal factors, only one namely divided government (of sender states) is a significant predictor of a diffusion tie. Among dyadic factors, there is one variable that supported political homophily as a significant predictor of diffusion flows (i.e., both states sharing the same type of legislative control). Partisanship appears to be much less of a driver of broadband policy in the U.S. context.

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来源期刊
Telecommunications Policy
Telecommunications Policy 工程技术-电信学
CiteScore
10.80
自引率
12.50%
发文量
122
审稿时长
38 days
期刊介绍: Telecommunications Policy is concerned with the impact of digitalization in the economy and society. The journal is multidisciplinary, encompassing conceptual, theoretical and empirical studies, quantitative as well as qualitative. The scope includes policy, regulation, and governance; big data, artificial intelligence and data science; new and traditional sectors encompassing new media and the platform economy; management, entrepreneurship, innovation and use. Contributions may explore these topics at national, regional and international levels, including issues confronting both developed and developing countries. The papers accepted by the journal meet high standards of analytical rigor and policy relevance.
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