Spatiotemporal Differentiation and Influencing Factors of Urban Land Green Use Efficiency in Jiangsu Province from Perspective of High-quality Development

Feng Yuhao; Tong Wen; Li Zijie; Zhu Haidi; Wu Qun

doi:10.13961/j.cnki.stbctb.2022.06.042

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Spatiotemporal Differentiation and Influencing Factors of Urban Land Green Use Efficiency in Jiangsu Province from Perspective of High-quality Development

- Spatiotemporal Differentiation and Influencing Factors of Urban Land Green Use Efficiency in Jiangsu Province from Perspective of High-quality Development
- Bulletin of Soiland Water Conservation Vol. 42, Issue 6, Pages: 351-360(2022)
- 作者机构：
  
  1. 南京农业大学公共管理学院,江苏,南京,210095
  2. 深圳龙岗区重点区域规划建设管理署,广东,深圳,518116
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2022.06.042
  CLC： F301.2
- Published：2022
- 稿件说明：
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Feng Yuhao, Tong Wen, Li Zijie, et al. Spatiotemporal Differentiation and Influencing Factors of Urban Land Green Use Efficiency in Jiangsu Province from Perspective of High-quality Development[J]. Bulletin of Soiland Water Conservation, 2022, 42(6): 351-360.
DOI：

Feng Yuhao, Tong Wen, Li Zijie, et al. Spatiotemporal Differentiation and Influencing Factors of Urban Land Green Use Efficiency in Jiangsu Province from Perspective of High-quality Development[J]. Bulletin of Soiland Water Conservation, 2022, 42(6): 351-360. DOI： 10.13961/j.cnki.stbctb.2022.06.042.

摘要

[目的] 在高质量发展视角下探讨城市土地绿色利用效率的内涵，定量分析江苏省城市土地绿色利用效率的时空变化与影响因素，为江苏省提升城市土地绿色利用效率提供科学参考。 [方法] 利用Super-SBM-Undesirable模型、GIS空间分析和面板数据模型，系统研究了2008-2020年江苏省城市土地绿色利用效率的区域差异和变化特征。从“分权化、绿色化、全球化”三方面，检验其对城市土地绿色利用效率的影响。 [结果] ①江苏省城市土地绿色利用效率处于较高水平，多数城市2018年前呈下降趋势，2018年之后出现上升趋势。空间上整体表现出“北低南高，西低东高”的格局。 ②江苏省各地区城市土地绿色利用效率波动差异明显，苏北与苏中为先增大后减小，苏南为先减小后增大。 ③森林覆盖率、公园绿地面积、外商直接投资和产业结构对城市土地绿色利用效率呈促进作用，城市发展水平对其为U形非线性影响。财政压力是导致城市土地绿色利用效率下降的主要原因。 [结论] 未来要倡导高质量发展模式，从加强区域一体化，促进地方产业结构转型升级，改变经济发展方式等方面分地区制定不同的优化调整措施，以提高江苏省城市土地绿色利用效率。

Abstract

[Objective] The spatiotemporal differentiation and influencing factors of urban land green use efficiency in Jiangsu Province were quantitatively analyzed based on an exploration of the connotation of urban land green use efficiency from the perspective of high-quality development in order to provide a scientific reference for increasing urban land green use efficiency. [Methods] The Super-SBM-Undesirable model

GIS spatial analysis

and panel data model were applied to investigate the regional disparity and evolution characteristics of urban land green use efficiency in Jiangsu Province from 2008 to 2020. The impact on the green use efficiency of urban land was examined from the three aspects of “decentralization

greening

and globalization”. [Results] ① The green use efficiency of urban land in Jiangsu Province was at a relatively high level. Most cities showed a downward trend before 2018 and an upturn after 2018. The overall spatial distribution could be characterized as “low in the north and high in the south

low in the west and high in the east”. ② The fluctuation difference of urban land green use efficiency was obvious in Jiangsu Province. Urban land green use efficiency in northern and central Jiangsu Province increased first and then decreased

while in southern Jiangsu urban land green use efficiency decreased first and then increased. ③ Forest coverage rate

park green space area

foreign direct investment

and industrial structure promoted green use efficiency of urban land

while the level of urban development produced a U-shaped nonlinear effect on green use efficiency. Financial pressure was the main contributor to the decrease in green use efficiency of urban land. [Conclusion] In the future

it will be necessary to advocate for the creation of high-quality development models and formulate different optimization and adjustment measures in different regions based on strengthening regional integration

promoting the transformation and upgrading of local industrial structure

and changing the mode of economic development in order to improve the green utilization efficiency of urban land in Jiangsu Province.

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references

丁玉龙.城市规模对绿色经济效率的影响及空间效应研究:基于我国285个地级及以上城市数据的实证分析[J].城市问题,2021(12):55-68.

谭荣,曲福田.中国农地非农化与农地资源保护:从两难到双赢[J].管理世界,2006(12):50-59,66.

刘荣增.城市扩张与经济增长质量的规模空间效应研究[J].求索,2020(3):157-164.

李永乐,舒帮荣,吴群.中国城市土地利用效率:时空特征、地区差距与影响因素[J].经济地理,2014,34(1):133-139.

Cao Xiaoshu, Liu Yongwei, Li Tao, et al. Analysis of spatial pattern evolution and influencing factors of regional land use efficiency in China based on ESDA-GWR[J]. Scientific Reports, 2019,9(1):520-526.

Xie Xue, Fang Bin, Xu Hanzeyu, et al. Study on the coordinated relationship between urban land use efficiency and ecosystem health in China[J]. Land Use Policy, 2021,102:105235.

Shi Xiuhua, Zhou Fei, Wang Zhe. Research on optimization of ecological service function and planning control of land resources planning based on ecological protection and restoration[J]. Environmental Technology & Innovation, 2021,24:101904.

Liu Jing, Jin Xiaobin, Li Hanbing, et al. Spatial-temporal changes and driving factors of the coordinated relationship among multiple land use efficiencies integrating stakeholders vision in Eastern China[J]. Journal of Cleaner Production, 2022,336:130406.

Tan Shukui, Hu Bixia, Kuang Bing, et al. Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze River Delta, China[J]. Land Use Policy, 2021,106:105449.

白帅,吴金华,王祯.河南省城市韧性与土地利用效率的耦合协调性[J].水土保持通报,2022,42(1):308-316.

聂雷,王圆圆,邵子南,等.城市土地利用效率测度及其影响因素:基于中国十大城市群的实证分析[J].经济问题探索,2022(2):82-93.

卢新海,李佳,刘超,等.中国城市土地绿色利用效率驱动因素及空间分异[J].地理科学,2022,42(4):611-621.

丁一,郭青霞,秦明星.黄河流域资源型城市土地绿色利用效率时空演变及影响因素[J].农业工程学报,2021,37(19):250-259.

王洁,摆万奇,田国行.土地利用生态风险评价研究进展[J].自然资源学报,2020,35(3):576-585.

Hunsaker C T. Assessing ecological risk on a regional scale[J]. Environmental Management, 1990,14(3):325-332.

Landis W G. Ecological risk assessment conceptual model formulation for Nonindigenous species[J]. Risk Analysis, 2004,24(4):847-858.

Suter G W, Norton S B, Barnthouse L W. The evolution of frameworks for ecological risk assessment from the red book ancestor[J]. Human and Ecological Risk Assessment, 2003,9(5):1349-1360.

任保平,文丰安.新时代中国高质量发展的判断标准、决定因素与实现途径[J].改革,2018(4):5-16.

金碚.关于"高质量发展"的经济学研究[J].中国工业经济,2018(4):5-8.

王忠辉,冯玉婷,张飞.我国沿海省份经济高质量发展能力综合评价[J].统计与决策,2022,38(9):114-118.

李蕾,刘荣增.产业融合与制造业高质量发展:基于协同创新的中介效应[J].经济经纬,2022,39(2):78-87.

曾燕萍,蒋楚钰,崔智斌.数字金融对经济高质量发展的影响:基于空间杜宾模型的研究[J].技术经济,2022,41(4):94-106.

赵剑波,史丹,邓洲.高质量发展的内涵研究[J].经济与管理研究,2019,40(11):15-31.

韩阳.建设高效、和谐可持续发展的城市空间[J].湘潭大学自然科学学报,2000(1):75-79.

卢丽文,宋德勇,李小帆.长江经济带城市发展绿色效率研究[J].中国人口·资源与环境,2016,26(6):35-42.

Yan Siqi, Peng Jianchao, Wu Qun. Exploring the non-linear effects of city size on urban industrial land use efficiency:A spatial econometric analysis of cities in eastern China[J]. Land Use Policy, 2020,99:104944.

Liu S, Park S, Choi Y, et al. Efficiency evaluation of major container terminals in the top three cities of the Pearl River Delta using SBM-DEA and undesirable DEA[J]. the Asian Journal of Shipping and Logistics, 2022,38(2):99-106.

Tone K. A slacks-based measure of super-efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2002,143(1):32-41.

张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952-2000[J].经济研究,2004(10):35-44.

宋林飞.苏南区域率先发展实践与理论的探索:从"苏南模式""新苏南模式"到"苏南现代化模式"[J].南京社会科学,2019(1):1-10.

周咏馨,朱雨南,姚旗龙.工业用地绩效差异的政策责任约束力研究:以江苏省为例[J].中国土地科学,2021,35(5):84-92.

张雯熹,吴群,王博,等.产业专业化、多样化集聚对城市土地利用效率影响的多维研究[J].中国人口·资源与环境,2019,29(11):100-110.

刘守英,王志锋,张维凡,等."以地谋发展"模式的衰竭:基于门槛回归模型的实证研究[J].管理世界,2020,36(6):80-92.

冯雨豪,吴群,王健,等.中国城市建设用地集聚对利用效率的影响:机理、空间效应与分群差异[J].中国人口·资源与环境,2022,32(1):97-106.

王春杰,黄金升.地方政府差别化以地引资竞争策略研究:来自微观土地交易的证据[J].中国地质大学学报(社会科学版),2021,21(5):124-136.

朱孟珏,庄大昌,李涛.基于环境约束的中国矿业城市工业用地效率评价[J].中国土地科学,2018,32(10):59-66.

董会忠,李旋,张仁杰.粤港澳大湾区绿色创新效率时空特征及驱动因素分析[J].经济地理,2021,41(5):134-144.

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