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Spatio-Temporal Evolvement of Agriculture ProductionEfficiency of Counties in Shanxi Province(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2015年01期
Page:
154-
Research Field:
地理学
Publishing date:

Info

Title:
Spatio-Temporal Evolvement of Agriculture ProductionEfficiency of Counties in Shanxi Province
Author(s):
Zhao Junhua; Dong Ping; Fan Yelong
School of Geography Science,Nanjing Normal University,Nanjing 210023,China
Keywords:
agriculture production efficiency; DEA; ESDA; evolvement; Shanxi
PACS:
F329.9
DOI:
-
Abstract:
Using the methods of Data Envelopment Analysis(DEA)and Exploratory Spatial Data Analysis(ESDA),this paper conduct in-depth analysis on the agriculture production efficiency of 107 counties in Shanxi province and its evolvement from the year of 2008 to 2012. Some conclusions are drawn as follows:① The comprehensive efficiency of agriculture production of Shanxi is at an intermediate level during the study period,and keeps a moderate rate of growth. The gap among regions is quite huge,areas of high comprehensive efficiency locate mostly in the middle and southeast of Shanxi province,while areas of the relatively low comprehensive efficiency in the west. And PTE(pure technical efficiency)contributes more to the TE(total efficiency)compared with SE(scale efficiency)after the TE is classified,and most counties are at the stage of growth in SE. ② The agriculture production efficiency in Shanxi province show obvious spatial auto-correlation,while the spatial clustering of similar-efficiency areas tends to decline and the gap widens. ③ From the local perspective,the agriculture production efficiency in some counties in the southeast of Shanxi declines together with some in the south and north,while a few in the west increases.

References:

[1] Kawagoe T,Hayami Y. An intercountry comparison of agricultural production efficiency[J]. American Journal of Agricultural Economics,1985,67(1):87-92.
[2]Haag S,Jaska P,Semple J. Assessing the relative efficiency of agricultural production units in the Blackland Prairie,Texas[J]. Applied Economics,1992,24(5):559-565.
[3]Ball V E,Gollop F M,Kelly-Hawke A,et al. Patterns of state productivity growth in the US farm sector:linking state and aggregate models[J]. American Journal of Agricultural Economics,1999,81(1):164-179.
[4]Vollrath D. Land distribution and international agricultural productivity[J]. American Journal of Agricultural Economics,2007,89(1):202-216.
[5]Restuccia D,Yang D T,Zhu X. Agriculture and aggregate productivity:A quantitative cross-country analysis[J]. Journal of Monetary Economics,2008,55(2):234-250.
[6]汪旭晖,刘勇. 基于DEA模型的我国农业生产效率综合评价[J]. 河北经贸大学学报:综合版,2008,29(1):53-59.
[7]王文刚,李汝资,宋玉祥,等. 吉林省区域农地生产效率及其变动特征研究[J]. 地理科学,2012,32(2):225-231.
[8]朱纪广,李二玲,李小建,等,黄淮海平原农业综合效率及其分解的时空格局[J]. 地理科学,2013,33(12):1 459-1 460.
[9]马凤才,赵连阁,任莹,等. 黑龙江省农业生产效率分析[J]. 农业技术经济,2008,2:24-25.
[10]赵雲泰,黄贤金. 基于DEA的中国农地非农化效率及其变化[J]. 长江流域资源与环境,2011,10(20):1 228-1 234.
[11]孟斌,王劲峰,张文忠,等. 基于空间分析方法的中国区域差异研究[J]. 地理科学,2005,25(4):393-400.
[12]熊薇,徐逸伦,王迎英,等. 江苏省县域经济差异时空演变[J]. 地理科学进展,2011,30(2):224-230.
[13]夏永久,朱喜钢,储金龙,等. 基于ESDA的安徽省县域经济综合竞争力空间演变特征研究[J]. 经济地理,2011,31(9):1 427-1 438.
[14]伍世代,王强. 中国东南沿海区域经济差异及经济增长因素分析[J]. 地理学报,2008,63(2):123-134.
[15]吕晨,樊杰,孙威. 基于ESDA的中国人口空间格局及影响因素研究[J]. 经济地理,2009,29(11):1 797-1 802.
[16]范斐,杜德斌,李恒,等. 中国地级市以上城市科技资源配置效率的时空格局[J]. 地理学报,2013,68(10):1 331-1 342.
[17]潘竟虎,尹君. 中国省会及以上城市发展效率DEA-ESDA分析[J]. 西北师范大学学报:自然科学版,2012,48(6):99-104.
[18]潘竟虎,尹君. 中国地级及以上城市发展效率差异的DEA-ESDA测度[J]. 经济地理,2012,32(12):53-60.
[19]杨永刚. 山西农业经济发展战略—基于对气候资源的聚类分析[J]. 经济地理,2006,26(增):205-207.
[20]臧磊. 南京都市圈产业效率演化及空间差异分析[J]. 世界地理研究,2013,22(3):57-65.
[21]蒲英霞,葛莹,马荣华,等. 基于ESDA的区域经济空间差异分析—以江苏省为例[J]. 地理研究,2005,24(6):965-974.
[22]关伟,朱海飞. 基于ESDA的辽宁省县际经济差异时空分析[J]. 地理研究,2011,30(11):2 008-2 016.

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Last Update: 2015-03-30