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业务
托比模型
电信
经济
营销
产业组织
计量经济学
计算机科学
操作系统
无线
作者
Steven C. Deller,Brian E. Whitacre,Tessa Conroy
摘要
Abstract Using 2014 U.S. nonmetropolitan county‐level data, we explore the relationship between broadband speeds and business startup rates. Rural development policy discussions have presumed that access to broadband has become a necessary, although not sufficient, condition for economic growth and development. The relationship between broadband access on business startups, which are vital to local economic vibrancy, may be key to understanding the link between broadband and growth. In this study, we explore how qualitative features of broadband influence startup rates across different types of industries. To refine our insights into these relationships, we look at broadband by speed (both download and upload coverage across four speed categories). We also consider the importance of mobile broadband availability, which is often ignored in empirical studies. Because of the presence of spatial dependency within the data and the fact that data on business startup rates is limited to the minority of establishments that have employees, we use a Bayesian spatial Tobit estimator. After controlling for a host of variables likely to influence economic growth, we find that broadband coverage does matter and that download speeds tend to be more important than upload speeds. This pattern holds for mobile coverage as well. Perhaps the most important finding is that the results vary across business type: what matters for new businesses in one industry may not matter for other industry classifications. In the end, our results reaffirm the policy notion that access to broadband is increasingly relevant to rural entrepreneurship.
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