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倪龙臻, 陈文汇. 黄河流域国有林场综合发展水平评价与障碍因子分析[J]. 北京林业大学学报(社会科学版), 2022, 21(4): 24-32. DOI: 10.13931/j.cnki.bjfuss.2021283
引用本文: 倪龙臻, 陈文汇. 黄河流域国有林场综合发展水平评价与障碍因子分析[J]. 北京林业大学学报(社会科学版), 2022, 21(4): 24-32. DOI: 10.13931/j.cnki.bjfuss.2021283
Ni Longzhen, Chen Wenhui. Research and Obstacle Factor Diagnoses of Development Level of State-owned Farms of the Yellow River Basin[J]. Journal of Beijing Forestry University (Social Science), 2022, 21(4): 24-32. DOI: 10.13931/j.cnki.bjfuss.2021283
Citation: Ni Longzhen, Chen Wenhui. Research and Obstacle Factor Diagnoses of Development Level of State-owned Farms of the Yellow River Basin[J]. Journal of Beijing Forestry University (Social Science), 2022, 21(4): 24-32. DOI: 10.13931/j.cnki.bjfuss.2021283

黄河流域国有林场综合发展水平评价与障碍因子分析

Research and Obstacle Factor Diagnoses of Development Level of State-owned Farms of the Yellow River Basin

  • 摘要: 基于PSR模型构建黄河流域国有林场发展评价指标体系,利用熵权TOPSIS与二次加权相结合的方法计算黄河流域国有林场的综合发展水平,在此基础上,利用障碍度模型进行障碍因子分析。研究表明:流域内国有林场发展水平不高,整体上表现为流域以南好于流域以北,流域下游好于流域上游的发展态势。阻碍流域内国有林场进一步发展的主要因素为基础设施建设专项资金投入水平、森林资源保护培育水平以及林业新产业发展水平。影响不同省区国有林场发展的因子存在明显的相似性,且相似类型的省区并不呈现地理意义上的空间集聚与流域位置集聚,为流域内各省区国有林场“分区施策”提供了新的视角。

     

    Abstract: Based on the PSR model, the development evaluation index system of state-owned forest farms in the Yellow River Basin is constructed, and the comprehensive development level of state-owned forest farms in the Yellow River Basin is calculated by using the method of entropy weight TOPSIS and secondary weighting. On this basis, the obstacle factor is analyzed by using the obstacle degree model. And the obstacle factor is analyzed by using the obstacle degree model. The research shows that the development level of state-owned forest farms in the basin is not well developed. On the whole, the development trend of the south of the basin is better than the north of the basin, and the lower reaches of the basin are better than the upper reaches of the basin. The main factors hindering the further development of state-owned forest farms in the basin are the investment level of special funds for infrastructure construction, the protection and cultivation level of forest resources and the development level of new forestry industry. There are obvious similarities in the factors affecting the development of state-owned forest farms in different provinces, and similar types of provinces do not show spatial agglomeration and watershed location agglomeration in the geographical sense, which provides a new perspective for the "zoning policy" of state-owned forest farms in various provinces and regions in the watershed.

     

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