新世纪中国水稻生产格局时空演变及驱动因素分析OA
Spatiotemporal Evolution and Driving Factors of Rice Production Patterns in China in the New Century
[目的]系统研究我国水稻生产的时空演变特征及其多维驱动机制,旨在为优化水稻生产格局和确保国家粮食安全提供决策支持.[方法]基于2000-2022年我国31个省市区面板数据,采用集中度指数、重心标准差椭圆、空间自相关分析和核密度估计等方法,全面揭示水稻生产格局的时空变化规律,并结合空间杜宾模型,深入探讨自然条件、社会经济、要素投入和技术创新等多维驱动机制的综合作用及其空间溢出效应.[结果]2000-2022年间,中国水稻生产呈"先降后波动上升"趋势,生产格局表现出"南缩北扩"的特征,生产重心整体向东北方向迁移;水稻生产格局存在显著的空间正相关性,以高-高集聚和低-低集聚为主,但空间集聚性逐渐减弱;水稻生产呈现显著的空间溢出效应,自然条件(种植面积)、社会经济(经济发展水平、非农就业机会、城镇化率)、要素投入(有效灌溉面积)和技术创新(水稻单产)对水稻生产集中度呈显著正相关,而与要素投入(化肥投入、农村劳动力)则呈显著负相关.邻近省份的有效灌溉面积、非农就业机会、化肥投入和城镇化率会影响当省的水稻生产集中度.[结论]优化水稻生产格局应关注区域间的空间关联性,加强农业基础设施建设,合理控制化肥使用,推动城乡统筹发展,以提升水稻生产效率,保障国家粮食安全.
[Objective]This study systematically investigates the spatiotemporal evolution characteristics and multidimensional driving mechanisms of rice production in China,aiming to provide decision-making support for optimizing the spatial pattern of rice production and ensuring national food security.[Methods]Based on panel data from 31 provinces(autonomous regions and municipalities)in China from 2000 to 2022,the study employs the concentration index,standard deviation ellipse,spatial autocorrelation analysis,and kernel density estimation to comprehensively reveal the spatiotemporal dynamics of rice production patterns.Furthermore,a Spatial Durbin Model(SDM)is applied to explore the comprehensive effects and spatial spillover mechanisms of multiple driving factors,including natural conditions,socioeconomic factors,input factors,and technological innovation.[Results]From 2000 to 2022,China's rice production exhibited a trend of"initial decline followed by fluctuating growth."The spatial pattern showed a"southward contraction and northward expansion,"with the production gravity center shifting northeastward.Significant positive spatial autocorrelation was observed,characterized mainly by high-high and low-low clusters,though the degree of spatial agglomeration gradually weakened.Rice production displayed significant spatial spillover effects:natural conditions(sown area),socioeconomic factors(economic development level,non-agricultural employment opportunities,urbanization rate),input factors(effective irrigation area),and technological innovation(rice yield per unit area)were positively associated with rice production concentration,whereas input factors such as fertilizer input and rural labor force exhibited significant negative correlations.The effective irrigation area,non-agricultural employment opportunities,fertilizer input,and urbanization rate in neighboring provinces also significantly affected local rice production concentration.[Conclusion]To optimize the spatial pattern of rice production,attention should be given to spatial linkages among regions.Strengthening agricultural infrastructure,rationally controlling fertilizer application,and promoting coordinated urban-rural development are essential strategies to improve rice production efficiency and safeguard national food security.
皮修平;唐俊杰;周镕基
衡阳师范学院 经济与管理学院,湖南 衡阳 421002||湖南省乡村产业振兴研究中心,湖南 衡阳 421002衡阳师范学院 经济与管理学院,湖南 衡阳 421002衡阳师范学院 经济与管理学院,湖南 衡阳 421002||湖南省乡村产业振兴研究中心,湖南 衡阳 421002
管理科学
水稻生产时空演变驱动因素粮食安全空间杜宾模型
rice productionspatiotemporal evolutiondriving factorsfood securityspatial Durbin model
《沈阳农业大学学报》 2026 (3)
160-171,12
国家社会科学基金一般项目(21BJY257)湖南省创新平台开放基金项目(2023HSKFJJ015)
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