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Scientia Silvae Sinicae ›› 2022, Vol. 58 ›› Issue (5): 151-160.doi: 10.11707/j.1001-7488.20220516

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Research and Application of Forest Land Grading and Benchmark Price: a Case Study of Longquan County, Zhejiang Province

Lianbei Wu1,Weimin Zhang1,*,Hongwei Tong2   

  1. 1. School of Economics and Management, Beijing Forestry University Beijing 100083
    2. Longquan Forestry Bureau, Zhejiang Province Longquan 323700
  • Received:2021-07-14 Online:2022-05-25 Published:2022-08-19
  • Contact: Weimin Zhang

Abstract:

Objective: This study aims to rationally grade forest land, establish a forest land benchmark price, and solve the problem of difficulty in forest land resource asset evaluation and accounting, in order to improve the efficiency of large-scale forest land value evaluation. Method: Based on the survey data of forest resource planning and design in Longquan county, Zhejiang Province in 2016, the factor method was used for forest land grading. Firstly, natural factors, socioeconomic factors and location factors were selected, and the entropy method was used to determine the weight of each factor index, and a weighted sum model was used to calculate the grading index, and finally the total score axis determination method was used to grade the forest land. The forest land benchmark price was calculated and determined by the forest land expected price method. Result: 1) The forest land resources in the study area were divided into 4 grades. The number of small classes and the total area increased and then gradually decreased from grade 1 to grade 4. The distribution of forest land grades was in a normal distribution and the structure was reasonable; 2) The benchmark price of forest land in the study area for level 1 to level 4 was 10 504, 8 978, 7 631 and 6 284 yuan·hm-2, respectively. The level of the benchmark price of each grade of forest land reflected the quality of the forest land; 3) According to the particularity of the forest land, combined with the external manifestation of the forest land productivity level, a price correction coefficient that matches the forest land benchmark price was formulated; 4) The total economic value of forestland resource assets in the study area combined with forestland benchmark and price correction coefficient is 2 456 million yuan. Conclusion: The distribution characteristics of forest forestland at all grades indicate that the grading results of forest land accord with the characteristic of the differences in quality and value. The use of forestland benchmark price for forest resource asset to account the economic value in the study area has high applicability. The research results can provide method choice for accounting the value of large number of forestland resources, and the technical support for the preparation of balance sheet of natural resources.

Key words: forest land resource assets, forest land grading, forest land benchmark price, forest land economic value

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