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林业科学 ›› 2023, Vol. 59 ›› Issue (1): 1-11.doi: 10.11707/j.1001-7488.LYKX20220450

• 前沿与重点: 林业促进共同富裕的理论和实践 • 上一篇    下一篇

国家试点区森林生态资本经济转换效率及其影响因素

孔凡斌1,2,3,程文杰2,徐彩瑶1,2,*,陆雨2,沈月琴1,2   

  1. 1. 浙江农林大学生态文明研究院/浙江省乡村振兴研究院 杭州 311300
    2. 浙江农林大学经济管理学院 杭州 311300
    3. 南京林业大学经济管理学院 南京 210037
  • 收稿日期:2022-07-01 出版日期:2023-01-25 发布日期:2023-02-24
  • 通讯作者: 徐彩瑶
  • 基金资助:
    浙江省软科学研究计划项目(2022C35104);浙江省社会科学领军人才培育专项课题(21YJRC12ZD);浙江省社会科学领军人才培育专项课题(21YJRC12-2YB);国家社会科学基金重点项目(18AJY006);国家自然科学基金项目(42071283);国家自然科学基金项目(72141016)

Economic Conversion Efficiency of Forest Ecological Capital in National Pilot Area of China and Its Influencing Factors

Fanbin Kong1,2,3,Wenjie Cheng2,Caiyao Xu1,2,*,Yu Lu2,Yueqin Shen1,2   

  1. 1. Institute of Ecological Civilization, Zhejiang A&F University/Research Academy for Rural Revitalization of Zhejiang Province, Zhejiang A&F University Hangzhou 311300
    2. College of Economic Management, Zhejiang A&F University Hangzhou 311300
    3. School of Economic Management, Nanjing Forestry University Nanjing 210037
  • Received:2022-07-01 Online:2023-01-25 Published:2023-02-24
  • Contact: Caiyao Xu

摘要:

目的: 通过对全国生态产品价值实现机制试点地区浙江省丽水市森林生态资本经济转换效率的研究, 明确森林生态资本促进区域经济增长的效率机制, 为完善森林生态产品价值实现机制, 推动森林生态资本富集区经济高质量发展提供科学依据。方法: 构建森林生态资本投入产出指标体系, 运用超效率SBM-Malmquist模型、最小二乘法(OLS)模型、固定效应和随机效应模型以及时空地理加权回归模型(GTWR)等方法, 借助Stata和ArcGIS软件, 分析2011—2019年期间浙江省丽水市森林生态资本经济转换及促进区域经济增长的效率、变化特征、主要影响因素及其作用机制特征。结果: 森林生态资本对区域经济增长有积极影响, 即在保持劳动力、物质资本和林地面积等因素不变的条件下, 森林生态资本每提高1%, 经济增长的边际效率提高0.076%, 对区域经济增长具有积极作用。总体上来看, 遂昌县、庆元县和龙泉市的地区开放度对森林生态资本经济转换效率产生显著性正向影响, 但两者在其他地区有着负相关关系; 人均可支配收入的提高对大部分地区森林生态资本经济转换效率具有良好的促进作用; 景宁县和龙泉市的产业结构对森林生态资本经济转换效率产生显著正向影响, 其他县(市、区)产业结构对森林生态资本经济转换效率产生显著负向影响。并且总体上来讲, 影响因素存在较大的时空异质性特征。结论: 森林生态资本经济转换及促进区域经济增长效率不仅受限于地区自然资源禀赋以及科技、人才和资金的投入, 更依赖于科学合理的生产要素配置, 因此必须完善环境和资源约束下的森林生态资本要素合理配置, 减少资源错配, 推动要素集聚水平与经济增长效率的协同提升。

关键词: 森林生态资本, 经济转换, 区域经济增长, 效率, 影响因素

Abstract:

Objective: This study aims to provide a scientific basis for improving the ecological product value realization mechanism and promoting the high-quality development of the forest ecological capital-rich regional economy, through investigating the economic conversion efficiency of forest ecological capital in Lishui City, Zhejiang Province in China, the pilot area of the national ecological product value realization mechanism, and clarifying the efficiency mechanism of forest ecological capital promoting regional economic growth. Method: In this study, a forest ecological capital input-output index system was constructed.The super-efficient SBM-Malmquist model, least squares (OLS) model, fixed effect and random effect model, and spatio-temporal geographic weighted regression model (GTWR) were used to analyze the efficiency, change characteristics, main influencing factors and influencing mechanism of the economic conversion of forest ecological capital in Lishui City, Zhejiang Province from 2011 to 2019, with the help of Stata and ArcGIS software. Result: Forest ecological capital had a positive impact on regional economic growth, that was, under the condition of keeping factors, such as forestry labor, physical capital and forest land area, unchanged, the marginal efficiency of economic growth increased by 0.076% for every 1% increase in forest ecological capital, which had a positive effect on regional economic growth.Overall, the regional openness in Suichang County, Qingyuan County and Longquan City had a significant positive impact on the economic conversion efficiency of forest ecological capital, but there was a negative correlation between the two in the other regions.The improvement of per capita disposable income had a good role in promoting the economic conversion efficiency of forest ecological capital in most areas.The industrial structure of Jingning County and Longquan City had a significant positive impact on the economic conversion efficiency of forest ecological capital, while the industrial structure in the other regions had a significant negative impact on the economic conversion efficiency of forest ecological capital.In general, the influencing factors had obvious characteristics of spatial-temporal heterogeneity. Conclusion: The economic conversion of forest ecological capital and the efficient promotion of regional economic growth are not only limited by regional natural resource endowments and the investment of science and technology, talents and funds, but also rely on scientific and reasonable allocation of production factors.Therefore, it is necessary to improve the rational allocation of forest ecological capital factors under environmental and resource constraints, reduce resource misallocation, and promote the coordinated improvement of factor agglomeration level and economic growth efficiency.

Key words: forest ecological capital, economic conversion, regional economic growth, efficiency, influencing factors

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