| 基于土地利用碳收支差异的重庆市碳补偿优先区识别 |
| 摘要点击 2032 全文点击 473 投稿时间：2023-09-08 修订日期：2023-12-19 |
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| 中文关键词 土地利用 碳收支 碳补偿 碳中和 重庆 |
| 英文关键词 land use carbon budget carbon compensation carbon neutrality Chongqing |
| 作者 | 单位 | E-mail | | 黄怀玉 | 西北农林科技大学经济管理学院, 杨陵 712100
西北农林科技大学资源经济与环境管理研究中心, 杨陵 712100 | hhy2021@nwafu.edu.cn | | 龚直文 | 西北农林科技大学经济管理学院, 杨陵 712100
西北农林科技大学资源经济与环境管理研究中心, 杨陵 712100 | gongzhiwen@nwafu.edu.cn | | 陈小娟 | 西北农林科技大学经济管理学院, 杨陵 712100
西北农林科技大学资源经济与环境管理研究中心, 杨陵 712100 | | | 霍然 | 西北农林科技大学经济管理学院, 杨陵 712100
西北农林科技大学资源经济与环境管理研究中心, 杨陵 712100 | | | 王倩倩 | 西北农林科技大学经济管理学院, 杨陵 712100
西北农林科技大学资源经济与环境管理研究中心, 杨陵 712100 | |
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| 中文摘要 |
| 探索土地利用碳收支时空规律及平衡特征,测度碳补偿价值并划定碳补偿类型分区,为进一步加强生态补偿体系建设与“双碳”目标任务的衔接提供科学参考. 利用2000 ~ 2020年的重庆市土地覆盖数据,在分析土地利用碳收支时空动态及其平衡关系特征的基础上,借助修正后的碳补偿模型测度横向补偿标准,运用标准显性比较优势指数法和K-means聚类分析法划分碳补偿支付区和受偿区. 结果表明：①2000 ~ 2020年重庆市土地利用碳吸收总量缓慢增长,碳排放量持续显著增加,净碳排放呈现“中心高、两翼低”的分布格局. ②变异系数均值为0.602,碳排放经济贡献系数与碳生态承载系数分别集中在0.64 ~ 1.14之间和0.00 ~ 32.86之间. 区县间碳排放与经济效益的贡献程度差距较小,但存在碳供需错配现象. ③碳补偿价值空间差异明显,总计碳支付、碳受偿金额分别为10.98×108元与6.34×108元,最终确定为8个重点支付区、7个一般支付区、3个重点受偿区和20个一般受偿区. 研究结果可为不同类型的碳补偿区域实施差异化发展策略提供借鉴,提高区域生态环境协同治理能力并推动碳中和目标实现. |
| 英文摘要 |
| This study aimed to explore the spatiotemporal patterns and balance characteristics of land use carbon budget, measure the value of carbon compensation, and delineate carbon compensation type zoning to provide scientific reference for further strengthening the connection between the construction of an ecological compensation system and the "dual carbon" target task. Based on the land cover data of Chongqing from 2000 to 2020, this study analyzed the spatiotemporal dynamics and balance relationship characteristics of the land use carbon budget. By using the revised carbon compensation model to measure the horizontal compensation standards, the normalized revealed comparative advantage （NRCA） index and K-means clustering analysis method were used to divide the carbon compensation area. The research results demonstrated that： ① the total land use carbon sequestration in Chongqing grew slowly from 2000 to 2020, whereas carbon emissions continued to increase significantly, and the net carbon emissions showed a distribution pattern of “high in the center and low in the two wings.” ② The average coefficient of variation in Chongqing was 0.602, and the carbon emission economy contributive coefficient and carbon ecological support coefficient were concentrated between 0.64-1.14 and 0.00-32.86, respectively. The difference in the contribution of carbon emissions and economic benefits between districts and counties was relatively small, but there was a mismatch between carbon supply and demand. ③ A significant spatial difference existed in the value of carbon compensation, with a total of 1.098 billion yuan in carbon payment and 634 million yuan in carbon compensation, respectively. Moreover, it was ultimately determined that there were eight key payment areas, seven general payment areas, three key compensation areas, and 20 general compensation areas. In conclusion, the research results can provide a reference for implementing differentiated development strategies in different types of carbon compensation regions, improve the collaborative governance capacity of the regional ecological environment, and promote the achievement of carbon neutrality goals. |
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