中国粮食安全治理的特征及路径
The characteristics and development path of China's food security governance
周琳 1钟钰1
作者信息
- 1. 中国农业科学院农业经济与发展研究所,北京 100081
- 折叠
摘要
中国粮食安全治理一直循着粮食安全目标不断演进,当前逐渐形成了新型农业经营主体为核心、绿色生产为手段的粮食生产格局.中国粮食安全治理体系通过自我革新以适应不断变化的治理目标,参与主体日益增加,治理手段逐渐多样,能够较好保障粮食安全水平.但针对粮食安全治理体系与治理能力现代化要求,仍需要克服一系列挑战,如资源约束导致粮食生产进入瓶颈期,气候变化和国际环境对粮食安全产生持续冲击,粮食生产比较效益低、耕地撂荒、耕地"非粮化""非农化"问题持续存在,农业技术应用推广仍然滞后.建议发展智慧农业提高资源利用效率,加强基础设施建设缓解气候变化的影响,加快推进国际合作缓解粮食系统压力,推进高标准农田建设提高土地产出力,优化农技推广体系提高技术效率.
Abstract
China's food security governance has been evolving in line with the goal of food security.At present,a food production pattern with new type of agricultural operating entities as its core and green production as the means has been gradually formed.Adapting to the changing governance goals through self-innovation,with an increasing number of participating entities and a growing diversity of governance tools,China's grain security governance system can effectively ensure food security.However,to realize the modernization of the food security governance system and capacity,a series of challenges need to be addressed,including the bottleneck of food production due to resource constraints,continuous impact on food security by climate change and international environment,low comparative benefits of food production,the abandonment of cultivated land,persistent non-grain production or non-agricultural use of cultivated land,and lagged application and promotion of agricultural technology.It is necessary to develop smart agriculture to improve resource utilization efficiency,strengthen infrastructure construction to mitigate the impacts of climate change,advance the international cooperation to alleviate pressure on the food system,promote high-standard farmland to improve land productivity,and optimize the agricultural technology promotion system to enhance technological efficiency.
关键词
粮食安全/粮食安全治理/农业技术Key words
food security/food security governance/agricultural technology引用本文复制引用
基金项目
国家社会科学基金重大项目(21ZDA056)
中国农业科学院科技创新工程项目(10-IAED-01-2024)
出版年
2024
NETL
NSTL
万方数据