公众参与型环境规制的时空格局及驱动因子研究——以长江经济带为例

Spatial-temporal Pattern and Driving Factors of Public Participation in Environmental Regulation: Taking the Yangtze River Economic Belt as An Example

以长江经济带公众参与型环境规制为研究对象,运用空间分析方法研究其时空格局,通过地理探测器筛选其主导驱动因子,基于GWR(Geographically Weighted Regression)模型揭示主导驱动因子空间异质性。结果表明:①各年份公众参与型环境规制均呈显著空间正相关,但集聚程度逐年下降;②公众参与型环境规制空间分异格局基本稳定;③地理探测器剔除地均固定资产投资和万人在校大学生数两个初选因子;④公众参与型环境规制驱动因子作用力由大到小依次为环境风险、人地压力、排放强度、信息化水平、经济水平、产业结构;⑤各驱动因子存在特征不同的空间异质性,为制定针对性政策提供理论依据。

The public participation in environmental regulation based on the 12369environmental complaint data of the Yangtze River economic belt is taken as the research object.Taking the city as the research scale,the spatial analysis method is used to reveal the spatial and temporal pattern of public participation in environmental regulation.The dominant driving factors of public participation in environmental regulation are screened by Geodetector.Using GWR (geographically weighted regression)model to reveal the spatial heterogeneity of each dominant driving factors,such as economic level,industrial structure,human land pressure,emission intensity,informatization level,and environmental risk.The results show that:1)The public participation in environmental regulation in the Yangtze River Economic Belt has significant spatial positive correlation,and the spatial agglomeration degree has decreased significantly in 2015.2)The spatial pattern of public participation in environmental regulation in Yangtze River Economic Belt is basically stable in 2013-2015.The most area of the Yangtze River Delta city group,Wuhan and Nanchang in the middle reaches of the Yangtze River City Group,and small area of Chengdu Chongqing city agglomeration are the high intensity zone of public participation in environmental regulation.3)The factor detection results from Geodetector excluded two primary variables:fixed assets investment per square kilometer and the number of college students per tens thousands of people.4)The OLS model fitting results show that the driving force affecting the public participation in environmental regulation intensity followed by environmental risk factors,human factors,stress intensity factor, the informatization level of emission factor,economic factor,and industrial structure factor.In addition to the industrial structure and the level of information,the other factors are positively correlated with public participation in environmental regulation.5)Multinomial parameters show that the GWR model of public participation environmental regulation intensity in the Yangtze River Economic Belt is better than the OLS model.6)The GWR model fitting shows the driving factors of spatial heterogeneity,and spatial heterogeneity of each driving factor has the difference,provides a theoretical basis for environmental regulation policy and public participation intensity differences for different regions to take.The GWR model fitting results show the difference from spatial heterogeneity of each driving factor,and provides a theoretical basis and targeted strategies for of environmental regulation in different regions.