In the dissertation, they evaluate factors affecting the demand for MOOC by estimating its demand function in OECD countries and in China. They apply a Big Data approach to construct a proxy for MOOC demand using Google Trends for OECD and Baidu Index for China. Based on estimation results of various panel data models, these two also find that in both cases, higher unemployment promotes MOOC demand. However, in OECD countries, the proportion of individuals with high school level or higher education have positive and significant effects on MOOC demand, while in China, it was observed that positive and significant effects from internet speed and average income.

To read more on their findings please follow this link: http://www.sciencedirect.com/science/article/pii/S1043951X17300718?via%3Dihub