A New Framework for Evaluating City–Industry Integration in New Urban Districts: The Case of Xixian New Area, China

Xue Ma, Xin Wu, Peng Cui (), Dan Zhao (), Kewei Liu, Qingsong Ni and Tingting Wang
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Xue Ma: College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China
Xin Wu: College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China
Peng Cui: College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China
Dan Zhao: College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China
Kewei Liu: College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China
Qingsong Ni: POWERCHINA Chengdu Engineering Corporation Limited, Chengdu 610072, China
Tingting Wang: College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China

Sustainability, 2025, vol. 17, issue 7, 1-28

Abstract: Assessing city–industry integration levels is a critical diagnostic approach for promoting sustainable urban development. However, existing evaluation frameworks are mainly based on overlaying the level of development of individual systems and rely on statistical data, lacking analysis of spatial attributes. This study addresses these gaps by constructing an “industry–city–population” (I–C–P) evaluation system based on the interaction mechanisms among industry (I), city (C), and population (P), viewed through the lens of spatial correlation. Focusing on Xixian New Area and using 2022 sectional data, the study applies the CRITIC method to calculate the overall level of city–industry integration and the interaction levels across different dimensions in the district, and the Entropy Method (EM) is used to validate the results. The findings indicate the following: (1) The overall level of city–industry integration in Xixian New Area remains relatively low, with Fengdong and Fengxi significantly outperforming the other three new cities. (2) The interactions between “P–I” and “C–P” exhibit lower levels compared to the “I–C” interactions. Additionally, the spatial characteristics of the dimensional levels reveal both variability and consistency. The integrated indicator system, incorporating both spatial big data and traditional statistical data, significantly expands the data sources and dimensions for evaluating city–industry integration, which helps to provide a reference for the assessment of the potential for high-quality sustainable development in the new district and other regions.

Keywords: new urban district; city–industry integration evaluation; spatial correlation; Xixian New Area (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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