Research on the Level of High-Quality Urban Development Based on Big Data Evaluation System: A Study of 151 Prefecture-Level Cities in China

Xiujun Qin and Xiaolei Qin ()
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Xiujun Qin: School of Public Administration, Nanjing Normal University, Nanjing 210023, China
Xiaolei Qin: School of Public Administration, Nanjing Normal University, Nanjing 210023, China

Sustainability, 2025, vol. 17, issue 3, 1-19

Abstract: China’s rapid urbanization has exposed a growing gap between economic growth and development quality, highlighting the urgent need for high-quality urban advancement. This study constructed a comprehensive evaluation system to effectively measure urban growth quality, integrating five key dimensions: innovation, coordination, greenness, openness, and shared development, enhanced by big data analytics. Analyzing data from 151 Chinese cities between 2017 and 2021, we found a consistent improvement in urban development quality and a gradual narrowing of regional disparities. However, significant differences persist between eastern and western cities, with innovation emerging as the primary driver for enhancing urban development quality. These findings suggest that China should intensify investment in innovation, broaden openness, and focus on elevating overall urban development quality while bridging regional gaps.

Keywords: urban; high-quality development; evaluation system; big data (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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