Research on the Measurement of Digital Economy Development Level Based on the Entropy Weight Model and TOPSIS Method --Taking Xinjiang Uygur Autonomous Region as an Example

Abstract

The rapid advancements in digital technology have brought about significant changes across the globe. However, remote regions face distinct challenges in developing their digital economies, influenced by factors such as geography, economics, and technology. The Xinjiang Uygur Autonomous Region is an exemplar of such remote areas in China. This research paper utilizes the region as a case study, gathering data from prefecture-level cities within Xinjiang Uygur Autonomous Region between 2011 and 2019. Through the implementation of an index system, the Entropy Weight Model and TOPSIS Method were utilized to evaluate the digital economy index and examine potential development pathways. The findings indicate that the digital economy in the Xinjiang Uygur Autonomous Region is presently in a developmental stage, but there are concerns regarding sluggish growth, an unbalanced economic structure, and a digital divide. These results can offer a scientific foundation for local economic expansion and serve as a point of reference for devising strategies to promote digital economy development in remote regions.