A Study on the Spatio-Temporal evolution characteristics of green building economic competitiveness in the Guangdong-Hong Kong-Macao greater bay area
Lihong Shi
Hainan Vocational University of Science and Technology
Huashan Zhang
Hainan Vocational University of Science and Technology
DOI: https://doi.org/10.59429/pest.v7i3.11533
Keywords: Green economic competitiveness; Spatial autocorrelation analysis; Feature evaluation
Abstract
Against the backdrop of advancing the dual carbon goals, tightening resource and environmental constraints intertwine with pressures for industrial restructuring, making green development the key pathway to resolve the contradiction between economic growth and ecological conservation. With the emergence of highquality development requirements, enhancing regional green economic competitiveness has become a core issue for achieving sustainable development. As one of China’s most open and economically dynamic regions, the Greater Bay Area plays a strategic leading role in advancing national ecological civilization construction and promoting coordinated regional development through the enhancement of its green economic competitiveness. To explore the spatiotemporal evolution of the Greater Bay Area’s green economic competitiveness, this study employs spatial autocorrelation analysis, convergence characteristic assessments (σ-convergence and β-convergence), and dynamic transition pattern analysis (using methods such as continuous density curves and Markov chains). It systematically examines the distribution patterns, differential evolution, and transition characteristics of regional green economic competitiveness. Findings reveal: Spatially, green economic competitiveness exhibits pronounced agglomeration, with high-value zones concentrated in core cities like Guangzhou and Shenzhen, while low-value areas are distributed in peripheral cities. Regarding convergence characteristics, the region shows an overall σ-convergence trend, with the σ-convergence coefficient decreasing from 0.11 to 0.07 between 2002 and 2022, indicating gradually narrowing regional disparities but persistent development imbalances. Dynamic transition patterns reveal high stability in green economic competitiveness levels, with over 80% probability of maintaining initial states across all categories. Transitions between low and high levels are infrequent, while medium-level types exhibit relatively stronger mobility, indicating a gradual evolutionary process. These findings provide theoretical insights for promoting coordinated regional development and implementing differentiated policies. Future research may deepen by expanding to micro-level scales, incorporating additional influencing factors, and quantifying policy impacts.
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