SRNI-CAR: A comprehensive dataset for analyzing the Chinese automotive market
This provides a new dataset for researchers, policymakers, and industry stakeholders analyzing the Chinese automotive market, but it is incremental as it primarily expands existing data coverage.
The authors tackled the lack of comprehensive data for the Chinese automotive market by introducing a dataset spanning 2016-2022 with sales, reviews, and industry information, which serves as a valuable resource for forecasting, business applications, policy, and research.
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.