Spatio-temporal Evolution and Influencing Factors of Ecological Efficiency in High Efficiency Eco-economic Zone of the Yellow River Delta

ZHANG Xixi, HAN Liying,CAO Zhengxu

Areal Research and Development ›› 2023, Vol. 42 ›› Issue (6) : 157-164.

PDF(1353 KB)
PDF(1353 KB)
Areal Research and Development ›› 2023, Vol. 42 ›› Issue (6) : 157-164. DOI: 10.3969/j.issn.10032363.2023.06.025

Spatio-temporal Evolution and Influencing Factors of Ecological Efficiency in High Efficiency Eco-economic Zone of the Yellow River Delta

  • ZHANG Xixi1,2, HAN Liying3,CAO Zhengxu3
Author information +
History +

Abstract

Based on the data of 19 counties in the Yellow River Delta high-efficiency eco-economic zone from 2010 to 2020, the unexpected SBM model is used to measure the ecological efficiency, and the temporal and spatial evolution characteristics of regional ecological efficiency are investigated by means of kernel density estimation and cluster analysis. On this basis, Tobit model is used to explore the driving factors of ecological efficiency. The results show that: The overall ecological efficiency of the Yellow River Delta high-efficiency eco-economic zone takes 2016 as the watershed, which remained stable in the early stage, and declined in the later stage due to the poor conversion of old and new kinetic energy, and begin to pick up after adjustment. There are obvious differences in ecological efficiency among cities, showing a “Chuan” spatial pattern of cross distribution of high-value areas and low-value areas. Nineteen counties can be divided into four categories according to the change of ecological efficiency, among which the fluctuation of middle and low-level cities is more obvious. As far as the whole region is concerned, the level of scientific and technological innovation, the ability of environmental governance and the degree of infrastructure guarantee promote the improvement of ecological efficiency, while the industrial structure and the degree of opening to the outside world have a restraining effect. The level of urbanization has no significant influence on the change of ecological efficiency, and the key drivers of ecological efficiency are heterogeneous in time and space.

Key words

ecological efficiency / spatiotemporal evolution / SBM model / Tobit model / Yellow River Delta

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
ZHANG Xixi, HAN Liying,CAO Zhengxu. Spatio-temporal Evolution and Influencing Factors of Ecological Efficiency in High Efficiency Eco-economic Zone of the Yellow River Delta[J]. Areal Research and Development, 2023, 42(6): 157-164 https://doi.org/10.3969/j.issn.10032363.2023.06.025

References

[1] 任宇飞,方创琳,蔺雪芹.中国东部沿海地区四大城市群生态效率评价[J].地理学报,2017,72(11):2047-2063.
[2] World Business Council For Sustainable Development.Eco-Efficient Leadership for Improved Economic and Environmental Performance[M].Brighton:World Business Council for Sustainable Development,1996.
[3] 诸大建,朱远.生态效率与循环经济[J].复旦学报(社会科学版),2005(2):60-66.
[4] 田光辉,李江苏,苗长虹,等.基于非期望产出的中国城市绿色发展效率及影响因素分析[J].经济地理,2022,42(6):83-91.
[5] ZHONG C,HAMZAH H Z,YIN J,et al.Impacts of Industrial Agglomeration and Energy Intensity on Industrial Eco-efficiency-analysis Based on Spatial Correlation and Mediating Effect[J/OL].Frontiers in Environmental Science,2022,1077[2022-11-22].doi:10.3389/fenvs.2022.954252.
[6] ZHANG X,XU D.Assessing the Eco-efficiency of Complex Forestry Enterprises Using LCA/Time-series DEA Methodology[J/OL].Ecological Indicators,2022,142:109166[2022-11-22].https://doi.org/10.1016/j.ecolind.2022.109166.
[7] 田鹏,汪浩瀚,李加林,等.东海海岸带县域城市生态效率评价及影响因素[J].地理研究,2021,40(8):2347-2366.
[8] 王圣云,林玉娟.中国区域农业生态效率空间演化及其驱动因素:水足迹与灰水足迹视角[J].地理科学,2021,41(2):290-301.
[9] 卢玮楠,刘霁瑶,赵敏娟.黄河流域农业用水效率的动态演进与收敛性[J].西北农林科技大学学报(社会科学版),2022,22(4):123-134.
[10] 毛建素,曾润,杜艳春,等.中国工业行业的生态效率[J].环境科学,2010,31(11):2788-2794.
[11] 杨斌.2000—2006年中国区域生态效率研究:基于DEA方法的实证分析[J].经济地理,2009,29(7):1197-1202.
[12] 韩永辉,黄亮雄,王贤彬.产业结构优化升级改进生态效率了吗?[J].数量经济技术经济研究,2016,33(4):40-59.
[13] 李群,刘基伟.林业生态、保护、产出及效率视角下的耦合协调性分析:基于中国31个省(市、区)面板数据的实证检验[J].林业经济,2022,44(3):5-22.
[14] 刘军,问鼎,童昀,等.基于碳排放核算的中国区域旅游业生态效率测度及比较研究[J].生态学报,2019,39(6):1979-1992.
[15] 史丹,王俊杰.基于生态足迹的中国生态压力与生态效率测度与评价[J].中国工业经济,2016(5):5-21.
[16] 焦士兴,崔思静,王安周,等.基于能值理论的河南省农业生态系统评价[J].地域研究与开发,2021,40(2):135-139.
[17] 景晓栋,田泽,丁绪辉,等.我国区域生态环境效率时空特征及影响因素:基于三阶段DEA模型分析[J].科技管理研究,2020,40(14):237-246.
[18] 张樨樨,曹正旭,徐士元.长江经济带工业绿色全要素生产率动态演变及影响机理研究[J].中国地质大学学报(社会科学版),2021,21(5):137-148.
[19] 赵艳敏,董会忠.中国工业能源生态效率时空演变特征及影响因素分析[J].软科学,2022,36(6):48-55.
[20] 文高辉,刘蒙罢,胡贤辉,等.洞庭湖平原耕地利用生态效率空间相关性与空间效应[J].地理科学,2022,42(6):1102-1112.
[21] PUERTAS R,GUAITA-MARTINEZ J M,CARRACEDO P,et al.Analysis of European Environmental Policies:Improving Decision Making Through Eco-efficiency[J/OL].Technology in Society,2022,70:102053[2022-11-22].https://doi.org/10.1016/j.techsoc.2022.102053.
[22] 屈小娥.中国生态效率的区域差异及影响因素:基于时空差异视角的实证分析[J].长江流域资源与环境,2018,27(12):2673-2683.
[23] 宋家鹏,陈松林.经济集聚对中国三大城市群土地利用生态效率的影响[J].自然资源学报,2021,36(11):2865-2877.
[24] 王梓瑛,王兆峰.环境规制对旅游生态效率影响的时空异质性研究:以长江三角洲城市群为例[J].长江流域资源与环境,2022,31(4):750-758.
[25] 于伟,张鹏,姬志恒.中国城市群生态效率的区域差异、分布动态和收敛性研究[J].数量经济技术经济研究,2021,38(1):23-42.
[26] 张展,廖小平,李春华,等.湖南省县域农业生态效率的时空特征及其影响因素[J].经济地理,2022,42(2):181-189.
[27] 郭丽佳,李畅,彭红松,等.节能减排约束下中国省域旅游生态效率评估及空间格局研究[J].地理科学进展,2021,40(8):1284-1297.
[28] 邓宗兵,李莉萍,王炬,等.技术异质性下中国工业生态效率地区差异及驱动因素[J].资源科学,2022,44(5):1009-1021.
[29] 杨勇,邓祥征.中国城市生态效率时空演变及影响因素的区域差异[J].地理科学,2019,39(7):1111-1118.
[30] 黄玛兰,曾琳琳,李晓云.LCA和DEA法相结合的农业生态效率研究:兼顾绿色认知和环境规制的影响[J].华中农业大学学报(社会科学版),2022(1):94-104.
[31] 李在军,胡美娟,周年兴.中国地级市工业生态效率空间格局及影响因素[J].经济地理,2018,38(12):126-134.
[32] 万斯斯,李世杰,张明空,等.河南省城市生态效率时空演变及影响因素[J].地域研究与开发,2021,40(6):51-56.
[33] 罗能生,李佳佳,罗富政.中国城镇化进程与区域生态效率关系的实证研究[J].中国人口·资源与环境,2013,23(11):53-60.
[34] 华坚,施明月,王育芳.科技金融、产业结构优化与区域生态效率:基于空间计量模型的实证分析[J].技术经济,2021,40(5):16-26.
[35] 吴文洁,刘雪梦,唐娟莉.FDI与中国工业生态效率:基于面板联立方程模型的实证分析[J].商业研究,2019(6):63-72
[36] 阎晓,涂建军.黄河流域资源型城市生态效率时空演变及驱动因素[J].自然资源学报,2021,36(1):223-239.
[37] 尹礼汇,吴传清.环境规制与长江经济带污染密集型产业生态效率[J].中国软科学,2021(8):181-192.
[38] 林澍珅,罗能生,杨钧.交通结构对区域生态效率的影响:基于中国省际面板数据的经验分析[J].经济地理,2019,39(12):21-30.
[39] 陈明华,刘文斐,王山,等.长江经济带城市生态效率的时空分异及其驱动因素[J].中国人口·资源与环境,2020,30(9):121-127.
[40] 闫涛,张晓平,赵艳艳.基于超效率SBM模型的中国城市生态效率时空演变及影响因素[J].中国科学院大学学报,2021,38(4):486-493.
[41] 陈明华,岳海珺,郝云飞,等.黄河流域生态效率的空间差异、动态演进及驱动因素[J].数量经济技术经济研究,2021,38(9):25-44.
[42] KAORU T.A Slacks-based Measure of Efficiency in Data Envelopment Analysis[J].European Journal of Operational Research,2001,130(3):498-509.
[43] TOBIN J.Estimation of Relationships for Limited Dependent Variables[J].Econometrica:Journal of the Econometric Society,1958,26(1):24-36.
PDF(1353 KB)

11

Accesses

0

Citation

Detail
Sections
Recommended

/

〈 〉