广东省工业用地生态效率时空差异及影响因素研究

Spatio-temporal Differences and Influencing Factors of Eco-efficiency of Industrial Land in Guangdong Province

运用基于非期望产出的Super-SBM模型测度了2008—2018年广东省工业用地的生态效率,通过空间自相关模型分析其空间分异特征,并借助地理探测器研究其影响因素。结果表明:①2008—2018年广东省工业用地生态效率水平总体保持稳定,均值为0.87,表现为粤东>粤西>珠三角>粤北的格局;各城市工业用地生态效率差距明显。②广东省工业用地生态效率空间格局较稳定,沿海地区整体高于内陆地区;空间相关性总体增强,高—高聚集与低—低聚集明显,整体空间依赖性较强。③不同时期,广东省工业用地生态效率空间分异的主导影响因子差异较大,其中工业聚集程度和科技投入水平是主要的影响因素。

Used the Super-SBM model based on undesired outputs to calculate the eco-efficiency of industrial land from 2008 to 2018,and analyzed its spatial differentiation characteristics through the spatial autocorrelation model,then we used geographic detectors to study its influencing factors.The results showed that:The eco-efficiency level of industrial land in Guangdong Province was generally stable from 2008 to 2018,with an average value of 0.87,showing a pattern of Eastern Guangdong>Western Guangdong>Pearl River Delta>Northern Guangdong,and the urban gap was obvious.The spatial pattern of industrial land eco-efficiency was relatively stable,and the eco-efficiency of industrial land in coastal areas was higher than that in inland areas.The spatial correlation of industrial land eco-efficiency in Guangdong was generally enhanced,with obvious high-high aggregation and low-low aggregation,and the overall spatial dependence was strong.In different periods,the main influencing factors of spatial differentiation of industrial land eco-efficiency in Guangdong Province were quite different,and the degree of industrial agglomeration and the level of scientific and technological investment were the main influencing factors.