The Analysis of Dominance Degree of Land Use in Irrigation District - A case study of Jinghuiqu Irrigation District in Shaanxi Province

Lu-hong Zhou, Ya-ni Li and Xiao-feng Wang

Asian Agricultural Research, 2012, vol. 04, issue 01, 4

Abstract: According to the remote sensing interpretation data in study area, statistics and the data concerning agricultural land classification of Shaanxi Province, on the basis of degree of dominance of land use, taking Jinghuiqu Irrigation District as an example, this paper adopts benefit-cost analysis method and the method of degree of dominance of land resources per capita to conduct analysis on degree of dominance of land. The results show that in study area, the ratio of cost and benefit of farmland is 1.5; with relative big value, indicating that farmland is the dominant land resource in Jinahuiqu Irrigation District: the abundance of land resources in study area is 0.73. the combination index of land resources is 2.3,. and degree of dominance of land resources per capita is 032, indicating that the Combination index of land resources in study area is relatively big, while degree of dominance of land resources per capita is relatively small, which shows that in study area, the combination of ail lands of land resources is in a poor state, with poor supporting ability. in view of the status quo that the combination of ail kinds of land resources is in a poor state, with poor supporting ability in Jinghuiqu Irrigation District, the corresponding policy suggestions are put forward as follows: first, strictly implement the central policy and protect farmland resources; second, adjust land use structure and strive to promote benefit; third, make rational planning of land resources and take the road of sustainable development; fourth, take the irrigation district as the Unit and establish use class and price standard of land in irrigation district.

Keywords: Agribusiness (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:ags:asagre:133104

DOI: 10.22004/ag.econ.133104

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