#农业投入碳排放

研究沼液与生物炭配施对温室番茄土壤微环境、温室气体排放及产量的影响。

以低碳城市试点为准自然实验，识别该政策对农业投入品碳减排的影响与传导机制。

Introduction Low-carbon city pilot policies constitute an important institutional practice for advancing the green and low-carbon transition of agriculture and achieving the “Dual-Carbon” goals. Scientific assessment of the agricultural emission-reduction effects of this policy is critical for land and food security. Methods Based on prefecture-level panel data of China spanning 2005–2024, this paper adopts a multi-period staggered Difference-in-Differences (DID) model to systematically examine the impacts of low-carbon city pilot policies on carbon emissions associated with agricultural inputs, and provides associational evidence on the transmission mechanisms. Given that the conventional two-way fixed-effect multi-period DID may yield potential bias under strong heterogeneity, this study further employs the Callaway-Sant’Anna staggered DID (CS-DID) to estimate the dynamic treatment effects for different cohorts. Multiple robustness strategies including PSM and placebo tests are also applied to validate regression results and improve the credibility of causal inference. Results The study finds that low-carbon city pilot policies significantly reduce regional Agricultural input-related carbon emissions mainly through three pathways: optimizing agricultural factor allocation, forcing the low-carbon transformation of agricultural industrial structure, and improving agricultural energy-use efficiency. Heterogeneity exists in policy effects: western cities achieve the strongest emission-reduction outcomes, provincial-capital cities show substantially stronger carbon-mitigation effects than ordinary prefecture-level cities (significant only at the 10% level in the heterogeneity test), and cities included in the pilot program at an earlier stage deliver greater carbon-reduction efforts for agriculture. Discussion This paper effectively identifies the net agricultural emission reduction effect of the progressive low-carbon policy, supplements empirical evidence on the governance of agricultural non-point source carbon emissions by low-carbon policies, and provides empirical support and decision-making references by region and city administrative level for the national low-carbon transformation of agriculture and the optimization and implementation of differentiated low-carbon policies.

新疆财经大学XIE Tingting、LU Kun、WANG Hong在《农业现代化研究》发表数字乡村建设与县域农业碳排放的实证研究,基于2007-2024年中国县级平衡面板数据,构建交错双重差分模型,实证检验数字乡村建设对县域农业碳排放的影响及其作用机制。核心发现:第一,数字乡村建设显著降低了县域农业碳排放,该结论经一系列稳健性与内生性检验后依旧成立;第二,机制分析揭示数字乡村建设通过培育农业新质生产力发挥碳减排效应;第三,扩展分析显示该减排效应存在跨地市边界外溢但受省级边界约束,且对保障粮食产量有正向作用;第四,异质性分析显示该影响在粮食主产区、农业机械化水平较低地区、耕地资源禀赋较弱县更为显著。研究建议进一步释放数字乡村建设碳减排潜力,因地制宜推进县域农业绿色低碳转型。

基于284城市面板数据，用DID评估国家农业绿色发展试点区对农业碳排放的影响。

比较不同氧化亚氮核算方法对作物碳强度评分及农产品贸易的影响。

提出碳整合气候智慧金融模型，将碳收益作为内生投资变量纳入农业项目财务评估。

通过整合全球746个观测，量化了根系沉积占地下碳输入的三分之一。