SCIENTIA GEOGRAPHICA SINICA ›› 2018, Vol. 38 ›› Issue (3): 419-427.doi: 10.13249/j.cnki.sgs.2018.03.012

• Orginal Article • Previous Articles     Next Articles

Evaluation of Agricultural Ecological Efficiency and Its Spatial-temporal Differentiation Based on DEA-ESDA

Defeng Zheng1(), Shuai Hao1, Caizhi Sun1,2   

  1. 1. School of Urban Planning and Environmental Science, Liaoning Normal University, Dalian 116029, Liaoning, China
    2.Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, Liaoning, China
  • Received:2017-04-13 Revised:2017-08-23 Online:2018-03-21 Published:2018-03-21


The evaluation of agricultural ecological efficiency will help to understand the regional agricultural economy development status. In this paper, the agricultural water footprint and agricultural grey water footprint were respectively introduced into input indexes and undesirable output indexes. Then the SBM model of considering the undesirable outputs of DEA was used to calculate the agricultural ecological efficiency, and the Exploratory Spatial Data Analysis (ESDA) was applied to analyze its spatial distribution, agglomeration and changing trend from 2000 to 2014 in all counties (districts) in Gansu Province. The results showed that: 1) The agricultural ecological efficiency values of considering undesirable outputs were lower than the values of no consideration of undesirable outputs, and the farmer were more correspond with practical situations. 2) During 2000-2014, the agricultural ecological efficiency values were low on the whole and showed an ascending tendency in Gansu. And in spatial change, the values showed a decreasing tendency from west to east and from south to north, but the difference of values from south to north was less than that of values from west to east. 3) From the global spatial difference of efficiency values, except for 2001, 2002, and 2003, the agricultural ecological efficiency values showed the positive correlation and have remarkably agglomerated in space distribution in all counties (districts) in Gansu. From the local spatial difference, the quantity of counties with positive correlation was gradually decreasing and the spatial agglomeration of the regional agricultural ecological efficiency was reduced during the period of study. The regions with High-High (HH) correlation pattern mainly located in the Hexi Corridor and Gannan areas, and they have an obvious diffusion trend toward the adjacent areas on the space. The regions with Low-Low (LL) correlation pattern mainly located in the middle area of Gansu and the spatial distribution is relatively stable. The above evaluation results could reflect well the development condition of agricultural economy of Gansu Province in the last decade, and they could provide an important guiding and reference for realizing sustainable agricultural development in Gansu Province.

Key words: agricultural ecological efficiency, SBM model, Exploratory Spatial Data Analysis (ESDA), spatial differentiation, Gansu Province

CLC Number: 

  • K902