The intense adoption of Information Technology by businesses and government have increased data consumption across the world. While some countries have augmented their telecom infrastructure, data speeds are still very low in countries such as India. In this paper, we collected about 25 million records of crowdsourced data obtained through the mobile app deployed by the regulator in India. We have built a panel data regression model and analyzed the effect of supply-side variables such as radio spectrum holding of the operator, the mobile access infrastructure deployed by the operators, the technology deployed (3G/4G), and the demand side variable such as the mobile subscriber base. Our analysis indicates that a lower amount of spectrum holding, poor receive signal strength at mobile handsets, and the technology deployed (3G/4G) negatively affect the users’ download data speeds. The subscriber base also has a moderate effect on the data speeds. We conclude by prescribing policy recommendations on spectrum allocation and improvements in mobile access technologies to augment users’ quality of experience.

企业和政府对信息技术的大力采用已经增加了全球的数据消耗。尽管一些国家增加了其电信基础设施，但在印度等国家，数据速度仍然很低。在本文中，我们收集了通过印度监管机构部署的移动应用程序获得的约2500万笔众包数据记录。我们建立了一个面板数据回归模型，并分析了供应方变量的影响，例如运营商的无线电频谱持有，运营商部署的移动接入基础设施，部署的技术（3G / 4G）以及需求方变量，例如作为移动用户群。我们的分析表明，频谱保持量较低，手机的接收信号强度较差，部署的技术（3G / 4G）会对用户的下载数据速度产生负面影响。用户群对数据速度也有适度的影响。最后，我们就频谱分配和移动接入技术的改进规定了政策建议，以提高用户的体验质量。