摘要
采用安徽省2006-2015年期间16个地市的农业生产总值与农业生产要素的相关数据,利用莫兰指数验证了空间相关性,通过建立柯布-道格拉斯生产函数和空间计量(SAR与SEM)模型,验证了影响安徽省农业供给的影响因素。结论表明:(1)安徽省16个城市之间的农业产出存在空间相关性,区域之间应该加强合作,促进农业的发展;(2)安徽省16个城市中影响农业供给的因素依然是劳动力、土地以及资本,安徽省应该从此三要素入手,制定相关的对策建议以提高农业供给。
Based on the data of gross agricultural production and agricultural production factors of 16 cities during the period of 2006 to 2015 in Anhui and the Moran index, we established a Cobb Douglas production function and spatial econometric model ( SAR and SEM) to verify the influenced factors. The conclusion shows that: ( 1 ) Since the agricultural output among the 16 differ- ent regions has the spatial correlation, we should strengthen cooperation and promote the development of agriculture; (2) Factors affected the agricultural products supply is still labor, land and capital, we should take some effective measures to increase the sup- ply of the agricultural products.
出处
《黑龙江工业学院学报(综合版)》
2017年第7期60-65,共6页
Journal of Heilongjiang University of Technology(Comprehensive Edition)
基金
2017年蚌埠市社科规划项目(重大项目)(BB17A001)
2017年度蚌埠市领导圈定课题(BBSLDQDKT2017B02)
安徽财经大学研究生科研创新基金项目(ACYC2016087)
关键词
农业供给
莫兰指数
空间计量模型
agricuhural supply
Moran index
spatial econometric model