摘要
为探讨彭水县镇域尺度上农业产业效率,划分效率高低值、冷热点区域,分析时空格局变化并给出结论与建议,文章从农业产业效率概念出发构建投入-产出指标体系,综合运用数据包络法、全局自相关和局部自相关等多种方法,分析了2015年与2020年全县农业产业效率的时空演化.结果显示:①脱贫攻坚政策实施以来,彭水全县各个乡镇农业产业效率总体提升较快,尤其是大垭乡和三义乡2个深度贫困乡镇提升成效明显.②从农业产业效率的构成来看,平均纯技术效率为0.668,平均规模效率为0.783,二者还有较大的提升空间.规模效率与综合效率变化趋势基本一致,纯技术效率变化较为稳定,但各乡镇之间差别较大.③彭水县农业产业效率呈空间集聚性特征,基本形成以热点区域为中心向四周辐射,集聚程度依次递减,呈现半包围的空间格局,且南部地区的空间关联性大于北部地区.根据产业效率时空演化特征,研究区应保持5年过渡期内产业扶持力度不减,且未来产业效率提升应聚焦纯技术效率,因地制宜建立完善的产业体系.
Taking Pengshui County as a typical case,this paper uses the methods of data envelopment analysis,global autocorrelation and local autocorrelation to analyze the spatio-temporal evolution of efficiency of agricultural industry of the county in 2015 and 2020.The results show that since the implementation of poverty alleviation policy,due to the increase of industrial supportive alleviation efforts,the overall efficiency of poverty alleviation in agricultural industry in all towns and townships in Pengshui County has improved rapidly,especially in Daya Township and Sanyi Township,two deeply impoverished townships.From the perspective of the composition of the alleviation efficiency of agricultural industry,the average pure technical efficiency is 0.668,and the average scale efficiency is 0.783,both of which have a large room for improvement.The change trend of scale efficiency and comprehensive efficiency was similar from 2015 to 2020,and the change trend of pure technical efficiency was relatively stable,but there was a big difference among the towns.In the period from 2015 to 2020,the alleviation efficiency of agricultural industry in Pengshui County showed aspatial agglomeration,and the hot areas increased from 2 in 2015 to 3 in 2020.One of the more important factors was the intervention of industrial alleviation policy,which was most obvious in the poverty-stricken towns.The hot spots radiated from the center to the peripheral areas and the degree of agglomeration decreased successively,presenting a semi-encirclement spatial pattern,and the spatial correlation in the southern region was greater than that in the northern region.
作者
谷丽莉
廖和平
王刚
盛耀彬
何田
GU Li-li;LIAO He-ping;WANG Gang;SHENG Yao-bin;HE Tian(School of Geographic Sciences,Southwest University,Chongqing 400715,China;Targeted Poverty Reduction and Regional Development Evaluation Research Center,Southwest University,Chongqing 400715,China)
出处
《西南大学学报（自然科学版）》
CAS
CSCD
北大核心
2021年第6期10-17,共8页
Journal of Southwest University(Natural Science Edition)
基金
重庆市技术预见与制度创新项目(cstc2020jsyj-zzysbAX0077)
中国科学院区域可持续发展分析与模拟重点实验室开放基金项目(KF2020-01)
2020年教育部扶贫专项(7230100014).
关键词
农业产业效率
时空演化
贫困县退出
efficiency of agricultural industry
spatio-temporal evolution
withdrawal of poverty-stricken counties
