广东省农业现代化与农业碳排放的时空关联及协同路径

    Spatiotemporal association and synergistic pathways between agricultural modernization and carbon emissions in Guangdong Province

    • 摘要:
      目的 农业绿色低碳发展是破除资源环境双重约束的必然选择,厘清农业现代化与农业碳排放间的互动关系是实现农业减排及绿色转型的科学基础。
      方法 本研究构建广东省多维指标体系综合测度农业现代化水平及碳排放强度,确定广东省低碳农业现代化水平的空间格局,通过双变量局部空间关联分析(Bivariate LISA)解析二者间的空间关联及分异规律,为分类制定低碳农业现代化路径提供理论依据。
      结果 1)2017—2023年广东省农业现代化整体处于转型发展阶段,现代化水平不断提升,农业碳排放强度整体下降,农业现代化水平整体的提升已经由促进碳排放转变为抑制碳排放。二者在县域尺度空间分异显著,且演进特征不同,农业碳排放重心的空间转移滞后于农业现代化。2)低碳农业现代化的低值区主要集中在珠三角核心区周边,高值区集中在雷州半岛及潮汕平原,随时间变化呈现空间集聚强化的趋势。3)农业现代化水平与农业碳排放强度空间依赖显著,但二者并非成线性对应关系,长期来看,农业现代化发展对农业碳排放强度表现为先促进后抑制作用,农业发展模式在其中起关键中介作用。广东省农业现代化存在多种碳排放模式,高现代化–低排放(H-L)模式的存在及扩展,表明农业低碳转型取得了重要进展,为农业现代化与农业碳减排协同提供了实证经验。
      结论 农业现代化与碳排放并非简单线性关系,而是呈现显著空间异质性与路径依赖性,其协同成效取决于发展路径选择。低现代化–低排放(L-L)区要依托绿色优势,以绿色反哺农业现代化建设;高现代化–高排放(H-H)区要推动绿色低碳技术替代高排放的原要素,实施减排增汇组合策略;低现代化–高排放(L-H)区应从农业投入−产出−可持续等多维度重构其农业现代化发展策略;H-L区要扩大发展优势形成示范效应。

       

      Abstract:
      Objective The green and low-carbon development of agriculture is an inevitable choice to break the dual constraints of resources and environment. Clarifying the interaction between agricultural modernization and agricultural carbon emissions provides the scientific basis for achieving agricultural emission reduction and green transformation.
      Method This study constructed a multidimensional indicator system to comprehensively measure the agricultural modernization level and carbon emission intensity in Guangdong Province. The spatial pattern of low-carbon agricultural modernization level in Guangdong Province was determined, and bivariate local indicators of spatial association (Bivariate LISA) was employed to analyze their spatial association and differentiation, so as to provide a theoretical basis for formulating categorized low-carbon agricultural modernization pathways.
      Result 1) From 2017 to 2023, the overall agricultural modernization in Guangdong Province was generally in a transitional development stage. The level of modernization was constantly improving, and the overall intensity of agricultural carbon emissions was declining. The enhancement of agricultural modernization had shifted from promoting to inhibiting carbon emissions. Spatial differentiation between the two was significant at the county scale, with different evolution characteristics. The spatial shift of the agricultural carbon emission center lagged behind agricultural modernization. 2) Low-value areas of low-carbon agricultural modernization were mainly concentrated around the core area of the Pearl River Delta, while high-value areas were concentrated in the Leizhou Peninsula and Chaoshan Plain, showing a strengthening spatial agglomeration trend over time. 3) The agricultural modernization level and carbon emission intensity exhibited significant spatial dependence, but the their relationship was not linear. Long-term analysis revealed that agricultural modernization first promoted and then inhibited the intensity of agricultural carbon emissions, and the agricultural development model acted as a key mediator. There were multiple carbon emission modes in agricultural modernization of Guangdong Province. The existence and expansion of high modernization-low emission (H-L) mode showed important progress in agricultural low-carbon transition, providing empirical experience for the coordination of agricultural modernization and agricultural carbon emission reduction.
      Conclusion The relationship between agricultural modernization and carbon emissions is not simply linear, but shows significant spatial heterogeneity and path dependence, with synergistic effect depending on the choice of development pathways. Low modernization-low emission (L-L) areas should leverage green advantages to support modernization. In high modernization-high emission (H-H) areas, it is necessary to promote green low-carbon technologies to replace the original elements of high emission and implement the combination strategy of emission reduction and sink increase. Low modernization-high emission (L-H) areas should reconstruct their agricultural modernization development strategies across multiple dimensions such as agricultural input-output-sustainability. H-L areas should expand their development advantages to form a demonstration effect.

       

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