This article used the Cluster analysis of statistical method to separate China＇s 30 provinces and municipalities into three categories according to their energy consumption discrepancies and characteristics from 1985...This article used the Cluster analysis of statistical method to separate China＇s 30 provinces and municipalities into three categories according to their energy consumption discrepancies and characteristics from 1985 to 2007. The categories were high, moderate and low energy consumption areas and they had significant differences in energy consumption. Based on this classification, the authors analyzed the influencing factors of energy consumption in the three areas by means of panel data econometric model. The results showed that the influencing factors were obviously different. In order to support national goal of energy conservation and emission reduction, the energy measures and policies should be distinctly taken.展开更多
The degradation of the eco-environment has been a challenge for sustainability in resource-based cities around the world.Although much attention has been drawn to this issue,few insights have been acquired regarding t...The degradation of the eco-environment has been a challenge for sustainability in resource-based cities around the world.Although much attention has been drawn to this issue,few insights have been acquired regarding the spatial differentiation and mechanism of the factors influencing habitat quality in resource-based cities from the perspective of the interactions of natural and human factors.Using Tangshan City as a case study,this paper evaluates habitat quality by integrating Ecosystem Service Value Assessment and the InVEST-HQ model,identifies the spatial distribution of Tangshan’s habitat quality with spatial auto-correlation,and explores the influencing factors and their mechanism of influence on the spatial differentiation with the geographical detector model and Space production theory.The results show that:(1)The total value of the habitat quality in Tangshan City in 2019 was 3.45×10^(10) yuan,and the habitat quality value was 24435.05 yuan ha-1.The habitat quality value presents a clustered distribution pattern of"hot in the north and the south,cold from the center to the west".(2)On the county scale,Qianxi County had the best habitat quality and Lubei District had the worst habitat quality;Shangying Township had the highest average habitat quality and Kaiping Street had the lowest average habitat quality in the township unit.(3)The results of geographical detectors show that natural environmental conditions are the important basic factors affecting the spatial differentiation of habitat quality in Tangshan City,while urbanization and industrialization factors are the most important external forces driving the spatial differentiation of habitat quality.The contributions of average elevation,average slope,raw material industrial density,and population density to the spatial differentiation of habitat quality are all above 0.40.The interactions of any two factors on habitat quality are enhanced.Areas with concentrated populations,rich industrial resources,and convenient transportation become low-value habitat quality areas;while areas with beautiful landscape patterns,abundant precipitation,and a comfortable climate become high-value habitat quality areas.Space production theory can be used to explain the mechanism of the formation of the spatial differentiation of habitat quality.展开更多
文摘This article used the Cluster analysis of statistical method to separate China＇s 30 provinces and municipalities into three categories according to their energy consumption discrepancies and characteristics from 1985 to 2007. The categories were high, moderate and low energy consumption areas and they had significant differences in energy consumption. Based on this classification, the authors analyzed the influencing factors of energy consumption in the three areas by means of panel data econometric model. The results showed that the influencing factors were obviously different. In order to support national goal of energy conservation and emission reduction, the energy measures and policies should be distinctly taken.
基金The National Natural Science Foundation of China(41971240)The Special Funding Project for Fundamental Scientific Research Operation Fees of Central Universities(2662019FW017)。
文摘The degradation of the eco-environment has been a challenge for sustainability in resource-based cities around the world.Although much attention has been drawn to this issue,few insights have been acquired regarding the spatial differentiation and mechanism of the factors influencing habitat quality in resource-based cities from the perspective of the interactions of natural and human factors.Using Tangshan City as a case study,this paper evaluates habitat quality by integrating Ecosystem Service Value Assessment and the InVEST-HQ model,identifies the spatial distribution of Tangshan’s habitat quality with spatial auto-correlation,and explores the influencing factors and their mechanism of influence on the spatial differentiation with the geographical detector model and Space production theory.The results show that:(1)The total value of the habitat quality in Tangshan City in 2019 was 3.45×10^(10) yuan,and the habitat quality value was 24435.05 yuan ha-1.The habitat quality value presents a clustered distribution pattern of"hot in the north and the south,cold from the center to the west".(2)On the county scale,Qianxi County had the best habitat quality and Lubei District had the worst habitat quality;Shangying Township had the highest average habitat quality and Kaiping Street had the lowest average habitat quality in the township unit.(3)The results of geographical detectors show that natural environmental conditions are the important basic factors affecting the spatial differentiation of habitat quality in Tangshan City,while urbanization and industrialization factors are the most important external forces driving the spatial differentiation of habitat quality.The contributions of average elevation,average slope,raw material industrial density,and population density to the spatial differentiation of habitat quality are all above 0.40.The interactions of any two factors on habitat quality are enhanced.Areas with concentrated populations,rich industrial resources,and convenient transportation become low-value habitat quality areas;while areas with beautiful landscape patterns,abundant precipitation,and a comfortable climate become high-value habitat quality areas.Space production theory can be used to explain the mechanism of the formation of the spatial differentiation of habitat quality.
