SRNI-CAR: A comprehensive dataset for analyzing the Chinese automotive
  market
Ruixin Ding Bowei Chen James M. Wilson Zhi Yan Yufei Huang
The automotive industry plays a critical role in the global economy, and
particularly important is the expanding Chinese automobile market due to its
immense scale and influence. However, existing automotive sector datasets are
limited in their coverage, failing to adequately consider the growing demand
for more and diverse variables. This paper aims to bridge this data gap by
introducing a comprehensive dataset spanning the years from 2016 to 2022,
encompassing sales data, online reviews, and a wealth of information related to
the Chinese automotive industry. This dataset serves as a valuable resource,
significantly expanding the available data. Its impact extends to various
dimensions, including improving forecasting accuracy, expanding the scope of
business applications, informing policy development and regulation, and
advancing academic research within the automotive sector. To illustrate the
dataset's potential applications in both business and academic contexts, we
present two application examples. Our developed dataset enhances our
understanding of the Chinese automotive market and offers a valuable tool for
researchers, policymakers, and industry stakeholders worldwide.