修正碳赤字视阈下京津冀县域生态补偿时空格局及其驱动因素

闫丰; 刘鑫; 庞娇; 代鹏宇; 徐佳音; 安晓明; 申琳; 陈永霞; 陈亚恒

doi:10.13961/j.cnki.stbctb.2024.01.036

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修正碳赤字视阈下京津冀县域生态补偿时空格局及其驱动因素

试验研究

- 修正碳赤字视阈下京津冀县域生态补偿时空格局及其驱动因素
- Spatiotemporal Patterns and Drivering Factors of Ecological Compensation at County Scale in Beijing-Tianjin-Hebei Region Under Modified Carbon Deficit
- 水土保持通报 2024年44卷第1期页码：368-377
- 作者机构：
  
  1. 河北农业大学国土资源学院,河北,保定,071001
  2. 河北省农田生态环境重点实验室,河北,保定,071001
  3. 河北农业大学渤海学院, 河北黄骅,061100
- 作者简介：
- 基金信息：
  
  河北省社会科学基金项目“多尺度补偿视阈下京津冀碳汇生态产品价值评价及分阶段实现路径研究”(HB23YJ008)
- DOI：10.13961/j.cnki.stbctb.2024.01.036
  中图分类号： F062.2
- 纸质出版：2024
- 稿件说明：
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闫丰, 刘鑫, 庞娇, 等. 修正碳赤字视阈下京津冀县域生态补偿时空格局及其驱动因素[J]. 水土保持通报, 2024,44(1):368-377.

Yan Feng, Liu Xin, Pang Jiao, et al. Spatiotemporal Patterns and Drivering Factors of Ecological Compensation at County Scale in Beijing-Tianjin-Hebei Region Under Modified Carbon Deficit[J]. Bulletin of Soiland Water Conservation, 2024, 44(1): 368-377.
闫丰, 刘鑫, 庞娇, 等. 修正碳赤字视阈下京津冀县域生态补偿时空格局及其驱动因素[J]. 水土保持通报, 2024,44(1):368-377. DOI： 10.13961/j.cnki.stbctb.2024.01.036.

Yan Feng, Liu Xin, Pang Jiao, et al. Spatiotemporal Patterns and Drivering Factors of Ecological Compensation at County Scale in Beijing-Tianjin-Hebei Region Under Modified Carbon Deficit[J]. Bulletin of Soiland Water Conservation, 2024, 44(1): 368-377. DOI： 10.13961/j.cnki.stbctb.2024.01.036.

摘要

[目的] 建立兼顾区域本底差异的生态补偿模型

进一步明确京津冀生态补偿时空分异格局及其主导驱动因子

为政府部门制定环境保护与宏观经济政策提供参考。[方法] 基于修正碳赤字

利用模型构建、空间相关性分析与地理探测器技术等方法构建了合理的生态补偿框架

分析和研究了2007-2020年的京津冀县域生态补偿的时空变异格局、空间自相关性、驱动因子排序和交互作用等内容。[结果] ①京津冀县域2007-2020年碳排放量呈现"先增后减"的变化趋势

碳吸收量大体呈现持续增加的变化趋势。②修正前的京津冀县域碳赤字呈现东、南、西部高

而北部较低的U形格局

而修正后的碳赤字由于兼顾了区域间本底差异

在时空分布上更加均匀。③生态补偿额度冷点区域基本分布在京津冀东北部

热点区域分布在京津冀西南部

两者之间存在个别冷热点区域

整体呈现热点区域向东北方向移动

冷点显著区域向西南方向移动的趋势。④不同年份内影响生态补偿额变化的主要因子不同

2007

2012

2017和2020年这4 a中影响京津冀县域生态补偿变化的主导影响因子分别为第三产业产值、财政收入、第二产业产值和人均生产总值;不同年份导致生态补偿变化的因素交互影响力不同

交互作用表现出先互相减弱后互相增强的反复效应。[结论] 兼顾区域本底差异的生态补偿模型

对京津冀生态补偿时空分异格局及其主导驱动因子的分析具有一定的公平性

可为政府部门制定环境保护与宏观经济政策提供更精准的指导和建议。

Abstract

[Objective] An ecological compensation model taking into account regional background differences was established to further clarify the spatial and temporal differentiation pattern of ecological compensation and its leading driving factors in the Beijing-Tianjin-Hebei region

in order to provide to a reference for government departments to formulate environmental protection and macroeconomic policies.[Methods] Based on a modified carbon deficit

a reasonable ecological compensation framework was constructed using model construction

spatial correlation analysis

and GeoDetector technology

etc. The spatial and temporal variability pattern

spatial autocorrelation

driver ranking

and interaction of ecological compensation in the Beijing-Tianjin-Hebei region during the period of 2007 to 2020 were analyzed and investigated.[Results] ① Carbon emissions in the Beijing-Tianjin-Hebei region from 2007 to 2020 showed a pattern of "increasing and then decreasing" over time

and carbon sequestration generally showed a trend of continuous increase. ② The carbon deficit in the Beijing-Tianjin-Hebei region before the amendment showed a U-shaped pattern with high carbon deficits in the east

south

and west

and low carbon deficits in the north. After the amendment

the carbon deficits were higher in the east

south

and west due to low carbon deficits in the north. After the amendment

the carbon deficits were more evenly distributed in space and time due to the local differences between regions. ③ The cold spot area of the ecological compensation amount was basically located in the Northeast Beijing-Tianjin-Hebei region

and the hot spot area was located in the Southwest Beijing-Tianjin-Hebei region. There were individual cold and hot spot areas between the two areas. The hot spot area was moving to the northeast

while the cold spot area was moving towards the southwest. ④ The main factors affecting the change of ecological compensation amount were different in different years

and the main factors affecting the change of the ecological compensation amount were different. Compensation amount changed in different years. The main factors affecting the changes in ecological compensation in the Beijing-Tianjin-Hebei region in 2007

2012

2017

and 2020 were tertiary industry output

financial revenue

secondary industry output

and per capita gross domestic product

respectively. The interactive influence of the factors leading to the changes in ecological compensation was different in different years. The interaction effect showed the repeated effect of decreasing each other and then increasing each other. The interaction effect was different in different years.[Conclusion] The ecological compensation model that takes into account regional background differences has a certain fairness to the analysis of the spatio-temporal differentiation pattern of ecological compensation and its leading driving factors in the Beijing-Tianjin-Hebei region

and provides more accurate guidance and suggestions for government departments to formulate environmental protection and macroeconomic policies.

关键词

Keywords

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