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author:

Yan, Bojie (Yan, Bojie.) [1] | Li, Yaxing (Li, Yaxing.) [2] | Qin, Yanfang (Qin, Yanfang.) [3] | Yan, Jingjie (Yan, Jingjie.) [4] | Shi, Wenjiao (Shi, Wenjiao.) [5]

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EI

Abstract:

High cost and low milk yield per dairy cow are current problems mainly faced by dairy farms in China. Thus, optimizing the regional layout and integrating the advantages to enhance the competitiveness of dairy farming in China is necessary. However, existing studies on comparative advantage analysis of dairy breeding have a relatively single perspective. Therefore, comprehensively identifying the advantage area of dairy farming is difficult. This study established a comprehensive evaluation model of the comparative advantages of dairy farming considering basic, technical, economic, and feed resource indexes using linear weighted and entropy weight methods. On this basis, the spatial–temporal analysis of the comprehensive evaluation on comparative advantages of dairy farming from 2013 to 2017 was performed using Geographic Information System(GIS). Finally, the advantage areas of dairy farming were identified. Results demonstrated that the highest average comprehensive evaluation value was 0.6017 in Inner Mongolia Autonomous Region, followed by 0.5355 in Ningxia Hui Autonomous Region and 0.1786 in Anhui Province. Furthermore, the advantage areas of dairy farming were identified including Inner Mongolia Autonomous Region, Beijing Municipality, Heilongjiang Province, Shanghai Municipality, Xinjiang Uygur Autonomous Region, Tianjin Municipality, Liaoning Province, Shanxi Province and Ningxia Hui Autonomous These findings provide references for the spatial layout of dairy farming, spatial allocation of production resources, and sustainable development of animal husbandry. © 2020 Elsevier B.V.

Keyword:

Agricultural engineering Agronomy

Community:

  • [ 1 ] [Yan, Bojie]Ocean College, Minjiang University, Fuzhou; 350108, China
  • [ 2 ] [Yan, Bojie]The Academy of Digital China, Fuzhou University, Fuzhou; 350002, China
  • [ 3 ] [Li, Yaxing]The Academy of Digital China, Fuzhou University, Fuzhou; 350002, China
  • [ 4 ] [Qin, Yanfang]Ocean College, Minjiang University, Fuzhou; 350108, China
  • [ 5 ] [Yan, Jingjie]College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing; 210003, China
  • [ 6 ] [Shi, Wenjiao]Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing; 100101, China
  • [ 7 ] [Shi, Wenjiao]College of Resources and Environment, University of Chinese Academy of Sciences, Beijing; 100049, China

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Source :

Computers and Electronics in Agriculture

ISSN: 0168-1699

Year: 2021

Volume: 180

6 . 7 5 7

JCR@2021

7 . 7 0 0

JCR@2023

ESI HC Threshold:106

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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