This study analyzed the spatial-temporal heterogeneity of green development efficiency and its influencing factors in the growing Xuzhou Metropolitan Area for the period 2000-2015. The slacks-based measure (SBM) model, spatial autocorrelation, and the geographically weighted regression (GWR) model were used to conduct the analysis. The conclusions were as follows: first, the overall efficiency of green development of the Xuzhou Metropolitan Area decreased, the regional differences and spatial agglomeration shrunk and differences within the region were the main contributors to the regional differences of green development efficiency. Second, the counties with high-efficiency green development were distributed along the coast, and along the routes of the Beijing-Shanghai and the Eastern Longhai railways. A developing axis of the high-efficiency counties was the main feature of the spatial pattern for green development efficiency. Third, regarding spatial correlation and green development efficiency, the High-High type counties in the Xuzhou Metropolitan Area formed a centralized distribution corridor along the inter-provincial border areas of Henan and Jiangsu, whereas the Low-Low type counties were concentrated in the external, marginal parts of the metropolitan area. Fourth, the major factors (ranked in decreasing order of impact) influencing green development efficiency were innovation, government regulations, the economic development level, energy consumption, and industrial structure. These factors exerted their influence to varying extents; the influence of the same factor had different effects in different regions and obvious spatial differences were observed for the different regions.

中文翻译：

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成长型都市圈绿色发展效率的时空异质性及其影响因素——以徐州都市圈为例

本研究分析了徐州都市圈2000-2015年间绿色发展效率的时空异质性及其影响因素。使用基于松弛的度量 (SBM) 模型、空间自相关和地理加权回归 (GWR) 模型进行分析。结论如下：一是徐州都市圈绿色发展整体效率下降，区域差异和空间集聚度缩小，区域内差异是造成绿色发展效率区域差异的主要因素。二是绿色高效发展县域分布在沿海、京沪、东陇海线沿线。高效县域发展轴是绿色发展效率空间格局的主要特征。三是在空间关联性和绿色发展效率方面，徐州都市圈高高型县域沿豫苏省际边界形成集中分布走廊，低低型县域则集中在外围。 , 大都市区的边缘部分。第四，影响绿色发展效率的主要因素（按影响降序排列）是创新、政府法规、经济发展水平、能源消耗和产业结构。这些因素在不同程度上产生了影响；