黄河三角洲县域绿色经济效率的时空演变与驱动机制

doi:10.13287/j.1001-9332.202109.039

应用生态学报 ›› 2021, Vol. 32 ›› Issue (9): 3299-3310.doi: 10.13287/j.1001-9332.202109.039

黄河三角洲县域绿色经济效率的时空演变与驱动机制

曹乃刚¹, 赵林^1,2*, 高晓彤¹

¹曲阜师范大学地理与旅游学院, 山东日照 276826;
²辽宁师范大学海洋可持续发展研究院, 辽宁大连 116029

收稿日期:2020-12-21 接受日期:2021-06-17 出版日期:2021-09-15 发布日期:2022-03-15
通讯作者: * E-mail: zhaolin19880112@126.com
作者简介:曹乃刚, 男, 1996年生, 硕士研究生。主要从事经济地理与区域可持续发展研究。E-mail: caonaigang777@163.com
基金资助:
国家自然科学基金项目(41701117,42071150)和山东省高等学校青创科技支持计划项目(2020RWG010)资助

Spatio-temporal evolution and driving mechanism of green economic efficiency at county level in the Yellow River Delta, China

CAO Nai-gang¹, ZHAO Lin^1,2*, GAO Xiao-tong¹

¹School of Geography and Tourism, Qufu Normal University, Rizhao 276826, Shandong, China;
²Institute of Marine Sustainable Development, Liaoning Normal University, Dalian 116029, Liaoning, China

Received:2020-12-21 Accepted:2021-06-17 Online:2021-09-15 Published:2022-03-15
Contact: * E-mail: zhaolin19880112@126.com
Supported by:
National Natural Science Foundation of China (41701117, 42071150) and the Science and Technology Support Plan for Youth Innovation of Colleges and Universities in Shandong Province (2020RWG010).

摘要/Abstract

摘要： 综合测度黄河三角洲地区的绿色经济效率,可为实现黄河三角洲地区生态保护和高质量发展提供参考依据。本研究依托多源遥感数据构建了县域绿色经济效率评价体系,采用考虑非期望产出的Super-EBM模型对黄河三角洲县域绿色经济效率进行了综合测度,运用核密度函数估计等方法刻画了时空演变特征,最后利用系统广义矩估计法识别其影响因素。结果表明: 2000—2015年黄河三角洲县域绿色经济综合效率和纯技术效率呈现波动上升态势,规模效率呈快速提升后保持平稳的类“Γ”型趋势,综合效率的提升由规模-技术驱动向技术主导转变;黄河三角洲县域绿色经济综合效率和纯技术效率呈现由“俱乐部收敛”向“整体收敛”演进趋势,低效率县区对高效率县区形成“追赶效应”,规模效率趋向均衡平稳发展;绿色经济综合效率及其分解效率空间上形成中部高、两翼低的“山”字型格局,高值区集中于黄河三角洲岬角处和莱州湾沿岸,且高值区呈西北-东南向偏移的特征,黄河三角洲东西两翼形成低值塌陷区;产业结构、人口集聚水平、固定资产投资强度对绿色经济效率具有正向影响,人口城镇化率对绿色经济效率具有负向作用,绿色经济效率与经济发展水平之间存在明显的“环境库兹涅茨”效应。

关键词: 绿色经济效率, 遥感数据, 时空演变, Super-EBM模型, 黄河三角洲

Abstract: A comprehensive measurement of green economic efficiency in the Yellow River Delta region can provide a reference basis for achieving ecological protection and high-quality development. We constructed an evaluation system of green economic efficiency in counties based on multi-source remote sensing data. We adopted the Super-EBM model that considered non-expected output to make a comprehensive measurement of green economic efficiency in Yellow River Delta counties, used the kernel density function estimation method to portray the characteristics of spatial and temporal evolution, and finally used the system generalized moment estimation method to identify influen-cing factors. The results showed that the comprehensive efficiency and pure technical efficiency of the green economy in the Yellow River Delta counties showed a fluctuating upward trend from 2000 to 2015. The scale efficiency showed a rapid increase and then stayed stable in a ‘Γ' type trend, while the increase in comprehensive efficiency transformed from being driven by scale-technology to being led by technology. The comprehensive efficiency and pure technical efficiency of the green economy in the Yellow River Delta counties showed an evolutionary trend from ‘club convergence' to ‘overall convergence', with the low efficiency counties formed a ‘catch-up effect' on the high efficiency counties and the scale efficiency toward a balanced and smooth development. The comprehensive efficiency of green economy and its decomposition efficiency spatially formed a ‘mountain' pattern, which was high in the middle, low in the two wings, and the high value area concentrated in the headland of the Yellow River Delta and along the coast of Laizhou Bay. The high-value area showed the characteristics of a northwest-southeast shift, and the east and west wings of the Yellow River Delta formed low-value subsidence areas. Industrial structure, population concentration level, and fixed asset investment intensity had positive effects on green economic efficiency, while population urbanization rate had negative effects on green economic efficiency. There was an obvious ‘environmental Kuznets' effect between green economic efficiency and economic development level.

Key words: green economic efficiency, remote sensing data, spatial-temporal evolution, Super-EBM model, Yellow River Delta

曹乃刚, 赵林, 高晓彤. 黄河三角洲县域绿色经济效率的时空演变与驱动机制[J]. 应用生态学报, 2021, 32(9): 3299-3310.

CAO Nai-gang, ZHAO Lin, GAO Xiao-tong. Spatio-temporal evolution and driving mechanism of green economic efficiency at county level in the Yellow River Delta, China[J]. Chinese Journal of Applied Ecology, 2021, 32(9): 3299-3310.

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黄河三角洲县域绿色经济效率的时空演变与驱动机制

Spatio-temporal evolution and driving mechanism of green economic efficiency at county level in the Yellow River Delta, China

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