RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2006, Vol. 15 >> Issue (Sup1): 37-40.

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APPLICATION OF REGRESSIVE ANALYSIS COMPREHENSIVE MODEL IN FARMLAND GRADE APPRAISAL

DENG Xuyan1,2,DENG Liangji1,2,ZHANG Shirong1,2,GAO Xuesong1,2,LI Hongjuan1,2   

  • Received:1900-01-01 Revised:1900-01-01 Online:2006-12-20

Abstract:

In order to unify farmland classification and land price,this paper takes Huangjingping hydroelectric station reservoir area for example,using 119 evaluation units of agriculture land in the area. Based on the software of SPSS and Arcmap/info,by regressive analysis method,a comprehensive model of the connection between reservoir area farmland evaluation factors and net return was set up. The farmland grades are also determined. Then,it calculates landvalue of every farmland level by means of income reverting. The result is that the absolute error of estimated net return and real net return is 0.05 yuan/m2,the relative error is 13.85%,and the correlation coefficient is 0.86. The land price of stageⅠis 23 yuan/m2,19 yuan/m2 for stage Ⅱ,15 yuan/m2 for stage Ⅲ,and 12 yuan/m2 for stage Ⅳ. It shows that regressive analysis comprehensive model acquires fine reversion. The gradeappraisal data can be shared by each other. The problems that specialists must ascertain weights have been solved. The model matches the situation about sterile nature of the farmland.

Key words: agriculture land evaluation, agriculture land appraise, regressive analysis, reservoir submerged area

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