摘要
为促进农业可持续发展,助力农民脱贫,实现全面小康社会,本研究引入非期望产出,构建西吉县农业生态效率的评价指标体系,采用Super-SBM模型,对西吉县农业生态效率的时间演变特征和空间演变特征进行实证研究。利用地理探测器,探测西吉县农业生态效率的影响因素。结果表明:从时间上看,2008-2017年西吉县农业生态效率整体呈现波动中缓慢上升的趋势,农业生态效率的平均值为0.677,未达到农业生态有效的状态。从空间上来看,处于低效率水平的地区逐渐减少,处于中等效率水平和相对有效水平的地区逐渐增加。处于中等效率水平的地区在空间上不断向东北部土石山区转变;处于高水平效率和相对有效水平的地区不断向葫芦河流域和葫芦河川道平原区转变;西南部黄土丘陵沟壑区农业生态效率随着时间的演变也在不断的提高。采用因子探测器探测影响西吉县农业生态效率的因素,其中产业结构的影响作用最大,排在后面的是农业播种面积、农民人均纯收入、财政支农和农业机械总动力等因素;利用交互作用探测器识别所有影响因素之间均存在交互作用,且所有因素交互后增加了解释力。
In order to promote sustainable agricultural development,help farmers escape poverty,and realize building a moderately prosperous society in all respects.This study introduced non-expected outputs to construct the evaluation index system of agricultural eco-efficiency in Xiji County,and adopts Super-SBM model to conduct an empirical study on the temporal and spatial evolution characteristics of agricultural eco-efficiency in Xiji County.The influencing factors of agricultural ecological efficiency in Xiji County were explored by using geographical detector.The results showed that from the perspective of time,from 2008 to 2017,the overall agricultural eco-efficiency of Xiji County showed a trend of slow increase in fluctuation,the average agricultural eco-efficiency was 0.677 which did not reach the state of effective agricultural eco-efficiency.From the perspective of space,the areas at low efficiency level gradually decrease,while the areas at medium efficiency level and relative efficiency level gradually increase.In the middle efficiency level of the region in space constantly to the northeast Rocky Mountains transformation;The areas with high level efficiency and relatively effective level transform to the Calabash river basin and the plain of Calabash river channel continuously;The agricultural ecological efficiency in the loss hilly and gully regions in southwest China had been improved continuously over time.Factor detector was used to detect the factors influencing on agricultural ecological efficiency in Xiji County,among which the industrial structure had the largest impact,followed by agricultural planting area,per capital net income of farmers,financial support for agriculture and the total power of agricultural machinery and so on;The interaction detector was used to identify the interaction among all factors,and the interaction of all factors increases the explanatory power.
作者
阴柯欣
王玲
米文宝
樊新刚
YIN Ke-xin;WANG Ling;MI Wen-bao;FAN Xin-gang(School of Resource and Environment,Ningxia University,Yinchuan 750021,China;Yishan Middle School,Fuping County,Shaanxi Province,Fuping 711700,China;Key Laboratory of Northwestern Degraded Ecosystem Restoration and Reconstruction,Ministry of Education,Ningxia University,Yinchuan 750021,China;Western Development Research Center of Ningxia University,Yinchuan 750021,China)
出处
《黑龙江农业科学》
2020年第2期98-106,共9页
Heilongjiang Agricultural Sciences
基金
宁夏自然科学基金项目(NZ16013)
宁夏大学研究生创新项目(GIP2017003)。
关键词
农业生态效率
数据包络分析
地理探测器
西吉县
agricultural ecological efficiency
data envelopment analysis
geo-detector
Xiji County
