陕西森林生态产品价值转化效率的区域非均衡性、影响因素及空间溢出效应
Regional unevenness,influencing factors and spatial spillover effects of conversion efficiency of forest ecological products value in Shannxi Province,China
[目的]森林生态产品价值实现能推动生态优势转化为经济优势，促进地区经济社会发展。准确评估森林生态产品价值转化效率是评判其价值实现状况的基础，有助于激活生态资源，释放生态“红利”。[方法]本研究基于Super-SBM模型、Dagum基尼系数分解和空间杜宾模型，评估 2010-2022年陕西森林生态产品价值转化效率，探究价值转化效率的演变特征、空间格局及区域差异，并确定价值转化效率的影响因素及空间溢出效应。[结果](1)陕西森林生态产品价值转化效率表现出区域上的非均衡性，呈现“陕北＞关中＞陕南”的空间分布格局。2010-2022年，陕西平均森林生态产品价值转化效率为 0.773，有五分之三的城市低于平均水平。高效区数量逐渐增加，高度低效区数量逐渐减少，但仍有 53%的区县没有达到高效水平。(2)从Dagum基尼系数的测度结果来看，陕西森林生态产品价值转化效率的区域差异随着时间的推移呈现波动下降的趋势，超变密度在总体差异中的贡献最大，是造成森林生态产品价值转化效率空间非均衡性的主要来源。(3)在影响因素方面，SDM回归结果显示，年均降水量和第一产业发展水平对森林生态产品价值转化效率具有显著的积极影响，而政府干预和农业机械化水平对其存在显著的抑制作用。经济发展水平产生了正向的溢出效应，产业结构和人均收入水平则存在空间负溢出效应。[结论]最后，基于研究结论提出针对性的对策建议，为完善生态产品价值实现机制提供科学依据。
[Objective]The value realization of forest ecological products can promote the transformation of ecological advantages into economic advantages and facilitate regional economic and social development. Accurately assessing the conversion efficiency of forest ecological products value (EFEPs) is the basis for judging its value realization, which helps to activate ecological resources and release ecological "dividends". [Method]Based on the Super-SBM model, Dagum's Gini coefficient decomposition and the spatial Durbin model, this study assesses the conversion efficiency of forest ecological products value in Shaanxi from 2010 to 2022, explores its evolutionary characteristics, spatial patterns and regional differen ces, and identifies the influencing factors and the spatial spillover effect.[Result]Fistly, the EFEPs in Shaanxi shows regional imbalance, with a spatial distribution pattern of "Northern Shaanxi > Guanzhong > Southern Shaanxi", and the average EFEPs in Shaanxi from 2010 to 2022 is 0.773, with three-fifths of the cities lower than the average level. The number of high-efficiency zones gradually increases and the number of highly inefficient zones gradually decreases, but 53% of the districts and counties still do not reach the high-efficiency level. Secondly, from the measurement results of Dagum's Gini coefficient, the regional differences in the EFEPs show a fluctuating downward trend over time, and the hypervariable density contributes the most to the overall differences, which is the main source of spatial imbalance in the EFEPs. Thirdly, in terms of influencing factors, the SDM regression results show that the average annual precipitation and the level of primary industry development have a significant positive effect on the EFEPs, while government intervention and the level of agricultural mechanisation have a significant inhibitory effect. The level of economic development has a positive spillover effect, while the industrial structure and the level of per capita income have a spatial negative spillover effect.[Conclusion]Finally, based on the research findings, targeted countermeasures are proposed to provide a scientific basis for improving the value realization mechanism of ecological products.
黄怀玉;龚直文;
西北农林科技大学经济管理学院,杨凌 712100;西北农林科技大学经济管理学院,杨凌 712100;
forest ecological products conversion efficiency regional differences spillover effects Shaanxi
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