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作 者:周敏[1] 吕宏宇 ZHOU Min;LYU Hongyu(School of Public Management,Liaoning University,Shenyang 110136,China)
出 处:《环境科学与技术》2024年第1期214-225,共12页Environmental Science & Technology
基 金:国家社会科学基金项目(21BGL287);辽宁省教育厅基本科研项目(JYTMS20230746);2023年度沈阳市社会科学立项课题(SYSK2023-01-040)。
摘 要:该文基于2000-2021年中国省级面板数据,利用Super-SBM模型等方法测度中国省域耕地利用碳减排潜力指数,借助修正引力模型和社会网络分析法探究耕地利用碳减排潜力空间关联网络及其影响因素,旨在为推动区域耕地利用协同减排提供参考。结果表明:(1)研究期内中国耕地利用碳减排潜力整体呈相对平稳的波动上升态势,省域耕地利用减排潜力地理空间分布极不均衡;(2)省域耕地利用碳减排潜力呈现复杂的网络结构特征,网络关联度低且网络结构稳健,呈现由粮食主产区和经济发达地区主导的多核协同格局;(3)块模型分析发现板块内和板块间的耕地利用碳减排潜力存在显著的空间关联效应;(4)空间邻接、农业经济发展水平差异、农民生活水平差异、环境规制差异、交通水平差异、信息水平差异和政府重视程度差异对耕地利用碳减排潜力空间关联网络具有显著影响。Based on the provincial panel data of China from 2000 to 2021,Super-SBM model was used to measure the car-bon emission reduction potential index of cultivated land utilization,and the modified gravity model,social network analysis method and QAP regression method were used to explore the spatial correlation network and influencing factors of carbon emission reduction potential of cultivated land utilization index(CLCRP),aiming to provide policy references for promoting coordinated emission reduction of regional cultivated land use.The main findings are showed as follows.(1)During the study period,the level of CLCRP in China showed a relatively stable and fluctuating upward trend,and the geographical and spatial distribution of CLCRP was extremely uneven.(2)CLCRP in provincial areas showed complex network structure characteris-tics,low network correlation degree and relatively stable network structure.A multi-core coordination pattern was dominated by major grain producing areas and economically developed areas.(3)There was a significant spatial correlation effect on CLCRP in the interiors of plates and between plates.(4)Spatial adjacency,differences in agricultural economic development,farmers’living standards,environmental regulation,the level of transportation and information,government attention all had a significant effect on the spatial association network of CLCRP.
关 键 词:耕地利用 碳减排潜力 空间关联网络 社会网络分析
分 类 号:X24[环境科学与工程—环境科学] F301.21[经济管理—产业经济]
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