浙江山区县域绿色转型发展评价与动力机制

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中文摘要：科学量化山区 26 县绿色转型水平是浙江建设共同富裕示范区的关键.从"绿色生态-绿色生产-绿色生活"三生空间视角构建绿色转型指标体系,采用纵横向拉开档次法、重心-标准差椭圆及时空地理加权回归模型等研究 2010～2021 年浙江山区 26 县绿色转型的时空分异特征与驱动因素.结果表明:①2010～2021 年山区 26 县绿色转型整体呈增长趋势,年均增幅为2.428%,但仍有较大提升空间;绿色转型的变异系数逐年减小,地区差异从"大差距低水平"特征逐渐向"小差距高水平"特征转变.②2010～2021 年山区 26 县绿色转型逐渐呈现"永嘉-缙云-青田"为核心的空间分布格局.绿色转型重心逐渐向北扩张,研究期内山区 26 县北部县域的绿色转型有较大提升;山区 26 县绿色转型空间分布总体呈较为稳定的西北-东南方向分布格局,标准差椭圆分布范围逐渐缩小,空间集聚性不断增强,区域发展不平衡问题有所改善.③各影响因素呈现较强的时空异质性.经济发展、城市化、政府调控和人力资本素质始终是山区 26 县绿色转型的主要驱动因素,金融发展、科技水平和对外开放程度的驱动力逐渐增强,产业结构的驱动作用尚不稳定,对于山区 26 县绿色转型的拉动能力有限.

外文标题：Evaluation and Dynamic Mechanism of Green Transformation Development in Mountainous Counties of Zhejiang,China

外文摘要：Quantifying green transformation level of 26 mountainous counties is crucial for the construction of a demonstration zone for common prosperity in Zhejiang.Based on the perspective of"green ecology-green production-green life"three-dimensional space,a green transformation indicator system was constructed;the temporal and spatial differentiation characteristics and driving factors of green transformation in 26 mountainous counties of Zhejiang from 2010 to 2021 were studied using vertical and horizontal pull-off grade method,gravity center-standard deviation ellipse,and geographically and temporally weighted regression(GTWR)model.The results show that ① from 2010 to 2021,the overall green transformation of 26 mountainous counties showes an increasing trend,with an average annual increase of 2.428%,indicating that there is still considerable room for improvement;the variation coefficient of green transformation decreases year by year,and the characteristic of the regional differences gradually changes from"large gap and low level"to"small gap and high level".② From 2010 to 2021,green transformation of 26 mountainous counties gradually showes a spatial distribution pattern with"Yongjia-Jinyun-Qingtian"as the core;the gravity center of green transformation gradually expands to the north,and the northern region of 26 mountainous counties have a significant improvement in green transformation during the study period;the spatial distribution of green transformation in 26 mountainous counties generally follows a northwest-southeast trend,and the distribution pattern is relatively stable;the distribution range of the standard deviation ellipse gradually narrows,and the spatial agglomeration continues to increase,indicating that the problem of regional development imbalance has improved.③ Each influencing factor shows strong temporal and spatial heterogeneity.Economic development,urbanization,government regulation and human capital quality have always been the main driving factors for green transformation of 26 mountainous counties;the driving forces of financial development,scientific,technological level and openness to the outside world have gradually increased;the driving effect of industrial structure is still unstable,and the driving ability for green transformation of 26 mountainous counties is limited.

外文关键词：

green developmentgreen transformationvertical and horizontal pull-off grade methodstandard deviation ellipseGTWR modeltemporal and spatial differentiationZhejiang

作者：

翁异静、杨月、文雁兵、杜磊

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作者单位：

浙江科技大学经济与管理学院,浙江杭州 310023

嘉兴大学经济学院,浙江嘉兴 314001

浙江中医药大学发展规划处,浙江杭州 310053

关键词：

绿色发展绿色转型纵横向拉开档次法标准差椭圆时空地理加权回归模型时空分异浙江

基金：

浙江省哲学社会科学领军人才培育专项课题浙江省软科学研究计划项目国家社会科学基金重大项目

项目编号：

23QNYC15ZD2023C3501922&ZD064

出版年：

2024

DOI：

10.19814/j.jese.2024.03006

地球科学与环境学报

长安大学

地球科学与环境学报

CSTPCD北大核心

影响因子：1.422

ISSN：1672-6561

年,卷(期)：2024.46(4)

参考文献量32