This study selects 20 indices of economic and environmental conditions over 15 years (1996–2010) for 14 cities in Liaoning province, China. We calculate the economic score and environmental score of each city by processing 4200 data points through SPSS 16.0 and establish synthesis functions between the economy and the environment. For the time dimension, we study the temporal evolution of the economic and environmental coordination development degree . Based on Exploratory Spatial Data Analysis (ESDA) techniques and using GeoDa, we calculate Moran's index of local spatial autocorrelation and explore the spatial distribution character of in Liaoning province through a LISA cluster map. As we found in the temporal dimension, the results show that of the 14 cities has been rising for 15 years and that increases year by year, which indicates that the economic and environmental coordination development condition has been improving from disorder to highly coordinated. A smaller gap between economic strength and environmental carrying capacity in Liaoning province exists, which means that economic development and environmental protection remain synchronized. In the spatial dimension, the highly coordinated cities have changed from a scattering to a concentration in the middle-south region of Liaoning province. Poorly coordinated cities are scattered in the northwestern region of Liaoning province. 1. Introduction With the rapid pace of industrialization and urbanization in Liaoning province, the growing problems of urban environmental pollution and ecological destruction have become more serious. The joint desires of economic development and improving environmental quality have become seemingly incompatible. How to coordinate economic growth with environmental protection has become a focus of national attention and academic research. In previous studies, both quantitative and qualitative, on the coordination degree between the economy and environment ( ) and the economic and environmental coordination development degree ( ) [1–4], Yang [5] use the coordination degree as a quantitative indicator to measure the harmonizing degree of systems or factors. Wang and Jiang [2] find that the coordinated development degree measures the interactive coupling development degree of systems or factors and that reflects the overall coordinated development of systems or factors, which includes systems’ or factors’ coordination conditions (viz. ) as well as the development level. Wang et al. [6] emphasize that determines the sustainability state of regional development and is
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