School of Economics and Trade, Henan University of Technology, 100 Lianhua Street, Zhengzhou, 450001, Henan, China.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11 Datun Road, Chaoyang District, Beijing, China.
Environ Sci Pollut Res Int. 2022 Jun;29(29):44442-44460. doi: 10.1007/s11356-022-18980-y. Epub 2022 Feb 8.
Agricultural carbon mitigation is critical for China to encourage the sustainable development of agriculture and achieve the carbon peak by 2030 and carbon neutrality by 2060. By exploring the impact mechanism of the carbon emission intensity (CEI) of grain production, we can effectively promote the low-carbon transformation of agricultural production and ensure the sustainable development of the food supply. This article analyzes the temporal and spatial evolution of the total carbon emission (TCE) and CEI of staple crops and adopts a dynamic spatial model to explore the influence mechanism and spatial spillover effects of the CEI of grain production based on evidence from China's major grain-producing provinces from 2002 to 2018. The results indicate that the TCEs of rice, wheat, and maize fluctuate upward and that the CEI in most producing areas decreases with low-low agglomeration (or high-high agglomeration). Among the influencing factors, technology is the main factor reducing CEI. Technical efficiency, urbanization, industrial structure, agricultural agglomeration, and agricultural trade openness can be transmitted to neighboring areas through spatial spillover mechanisms. The spatial spillover mechanisms are resource flow, technology spillover, and policy learning, producing the demonstration effect and siphon effect. Based on our findings, agricultural technology innovation and popularization, urbanization, optimization of the agricultural structure, financial payments, and factor flow among regions should be improved to encourage the low carbon transformation of grain production.
农业碳减排对于中国鼓励农业可持续发展,实现 2030 年碳达峰、2060 年碳中和目标至关重要。通过探索粮食生产碳排放强度(CEI)的影响机制,可以有效促进农业生产的低碳转型,保障粮食供给的可持续发展。本文分析了主要粮食作物的总碳排放量(TCE)和 CEI 的时空演变,并采用动态空间模型,基于 2002-2018 年中国主要粮食产区的证据,探讨了粮食生产 CEI 的影响机制和空间溢出效应。结果表明,水稻、小麦和玉米的 TCE 呈波动上升趋势,大部分产区的 CEI 呈低-低集聚(或高-高集聚)下降态势。在影响因素中,技术是降低 CEI 的主要因素。技术效率、城镇化、产业结构、农业集聚和农业贸易开放度可以通过空间溢出机制传递到相邻地区。空间溢出机制是资源流动、技术溢出和政策学习,产生示范效应和虹吸效应。基于研究结果,应提高农业技术创新和推广、城镇化、农业结构优化、财政投入以及区域间要素流动,以鼓励粮食生产的低碳转型。