江西科学

旅游城镇化与生态城镇化是破解区域环境保护与经济发展二元难题,践行“生态优先,绿色发展”战略的具体路径,揭示两者的耦合协调关系,可以为区域新型城镇化建设和生态环境保护提供有价值的参考。采用耦合协调度模型、空间自相关等分析方法,对长江经济带市域旅游城镇化与生态城镇化水平进行测度,分析两者耦合协调发展的时空特征及主要障碍因子。研究发现,长江经济带两系统水平处于上升态势,市域间差距逐渐缩小,长江上游与中游地区指数变动程度高于下游地区。长江经济带两系统耦合协调度呈现出波动增长的趋势,空间分异显著,大致呈现出长江“下游-中游-上游”逐级递减规律;市域耦合协调度的空间集聚效应明显,突出表现在下游长三角高值区稳定区和上游以昆明、贵阳为核心的低值变动区。旅游城镇化系统障碍度高于生态城镇化系统,A级景区数量、旅游总收入和总人次以及单位GDP二氧化硫排放量是影响两系统协调关系的主要障碍因素,PM_2.5年平均浓度、单位GDP工业废水排放量和单位GDP碳排放量是增速最快的前3位障碍因子。

Tourism urbanization and ecological urbanization represent important pathways for addressing the dual challenge of environmental protection and economic development and for implementing the strategy of “ecological priority and green development.” Revealing the coupling coordination relationship between these two systems provides valuable insights into regional new-type urbanization and ecological environmental governance. Based on the coupling coordination degree model and spatial autocorrelation analysis, this study evaluates the levels of tourism urbanization and ecological urbanization in prefecture-level cities within the Yangtze River Economic Belt and analyzes their spatio-temporal characteristics and major obstacle factors. The results indicate that the levels of both systems show an overall upward trend, with intercity disparities gradually narrowing. The index fluctuations are more pronounced in the upper and middle reaches than in the downstream region. The coupling coordination degree exhibits a fluctuating yet increasing trend, with significant spatial differentiation and a clear decreasing gradient from downstream to middle and upper reaches. Spatial agglomeration of coupling coordination is evident, characterized by a stable high-value cluster in the Yangtze River Delta and a low-value fluctuating cluster centered on Kunming and Guiyang in the upper reaches. The obstacle degree of the tourism urbanization system is higher than that of the ecological urbanization system. Key obstacle factors affecting the coordination relationship include the number of A-level scenic spots, total tourism revenue, total tourist arrivals and SO₂ emissions per unit GDP. In addition, annual average PM_2.5 concentration, industrial wastewater discharge per unit GDP and carbon emissions per unit GDP are identified as the three fastest-growing obstacle factors.