摘要
提高粮食生产生态效率是保障粮食和生态安全的必由之路。在测度2010—2020年中国省级粮食生产生态效率的基础上,采用基尼系数法、标准差椭圆法和莫兰指数分析其时空演变特征,并运用空间杜宾模型对其驱动因素和空间效应进行分析。研究发现:(1)我国粮食生产生态效率水平整体较低,但各省粮食生产生态效率的差距逐渐缩小,在粮食生产中仅有少数省份能够兼顾生态效益;(2)我国粮食生产生态效率重心由东北向西南移动,且具有显著的空间正相关性以及空间地理集聚特征;(3)农业规模化水平和农村人力资本对本地区和邻近地区的粮食生产生态效率均有不同程度的正向影响,而工业化水平、农业受灾率和农业机械密度对本地区和邻近地区提高粮食生产生态效率有不同程度的抑制作用。
Improving the ecological efficiency of grain production is the only way to ensure food and ecological security.On the basis of measuring the ecological efficiency of provincial grain production in China from 2010 to 2020,the Gini coefficient method,standard deviation ellipse method,and Moran index were used to analyze its spatiotemporal evolution characteristics,and the spatial Durbin model was used to analyze its driving factors and spatial effects.Research has found that:(1)the overall level of ecological efficiency in grain production in China is relatively low,but the gap in ecological efficiency in grain production among provinces is gradually narrowing,and only a few provinces can balance ecological efficiency in grain production;(2)The ecological efficiency center of grain production in China has shifted from northeast to southwest,and has significant spatial positive correlation and spatial geographic agglomeration characteristics;(3)The level of agricultural scale and rural human capital have varying degrees of positive effects on the ecological efficiency of food production in the local and adjacent areas,while the level of industrialization,agricultural disaster rate,and agricultural machinery density have varying degrees of inhibitory effects on improving the ecological efficiency of food production in the local and adjacent areas.
作者
宋尔英
谢会强
SONG Er-ying;XIE Hui-qiang(School of Economics,Guizhou University,Guiyang 550025)
出处
《南方农村》
2023年第4期20-27,共8页
South China Rural Area
基金
国家社会科学基金项目“多重排斥与西部特困地区包容性发展机制生成研究”(18BGL222)
贵州省教育厅人文社科基地项目“中国农业高质量发展的规模化路径”(23RWJD004)
贵州大学经济学院研究生创新基金项目“中国粮食生产效率的时空演化及其影响因素”(CJ2022108)。
关键词
粮食生产生态效率
时空特征
驱动因素
Ecological Efficiency of Grain Production
Temporal and Spatial Characteristics
Drivers
