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Forest and Grassland Resources Research ›› 2023›› Issue (5): 89-97.doi: 10.13466/j.cnki.lczyyj.2023.05.011

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Research on the Evaluation and Influencing Factors of High-Quality Development of Forest Cities in Guangxi

HE Binyuan(), ZENG Rong(), DAI Puying, PAN Dan, FANG Yuanyuan, WEI Liquan   

  1. Guangxi Zhuang Autonomous Region Forestry Survey and Design Institute,Nanning 530000,China
  • Received:2023-07-07 Revised:2023-08-23 Online:2023-10-28 Published:2023-12-20

Abstract:

With the rapid development of economy and society,the construction of forest cities in China has entered a new stage of high-quality development to promote the harmonious coexistence of man and nature.In order to further implement the relevant policies of the state on continuously promoting the high-quality development of forest cities,according to the national forest city management methods and the requirements of forest city evaluation,taking Guangxi as the research object,the evaluation index system of high-quality development of forest cities was constructed from six dimensions :forest network,forest health,ecological welfare,ecological culture,organization management and regional characteristics.The entropy weight method and obstacle degree model were used to measure the high-quality development level and obstacle degree of forest cities in Guangxi.The results show that,over the past 10 years,although the development and construction of forest cities in Guangxi have achieved remarkable results,and the development level of forest networks,forest health and regional characteristics is relatively high,there are still large shortcomings in organizational management,ecological culture and ecological welfare,and there is still much room for improvement in high-quality development.It is suggested to strengthen top-level design,continuously promote the campaign of building forest cities,strengthen ecological culture construction,tap regional characteristics,and further promote the high-quality development of Guangxi forest cities in the new era.

Key words: forest city, high quality development, entropy weight method, obstacle degree model, Guangxi

CLC Number: