城市土地绿色利用效率测度及其空间分异特征——基于284个地级以上城市的实证研究
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摘要
研究目的:探寻城市土地利用效率的内涵,揭示城市土地利用效率值的空间分异特征。研究方法:SBM模型、泰尔指数、探索性空间数据分析方法。研究结果:2016年全国城市土地绿色利用效率整体偏低,优化提升空间较大;城市土地绿色利用效率值表现出明显的空间分异特征:由东部沿海地区向西北内陆地区递减,其差异主要由省内差异引起;城市土地绿色利用存在显著的空间正相关,空间集聚状态可以分为4种:高值集聚区(东部沿海地区)、高值异质区域(晋蒙、京津冀和东北地区)、低值异质区域(湘鄂以及两广地区)、低值集聚区(陕甘云川贵和中部地区)。研究结论:应将绿色发展理念贯彻到土地利用当中,实现城市土地利用的"经济—生态—社会"的耦合,并因地制宜的采取差别化的管理措施,促进不同区域的城市协同发展。
The purpose of the paper is to explore the connotation of urban land use efficiency, and to reveal spatial differentiation of urban land use efficiency values. The research methods include SBM model, Theil index and exploratory spatial data analysis. The research results show that the concept and connotation of urban land green use efficiency are defined from the perspective of "economic-ecological-social" coupling, and the green utilization efficiency of urban land in 284 cities are measured. More specifically, the average value of urban land green use efficiency in 2016 is 0.598.More than 70% of cities are at medium and low efficiency levels, with greater room for improvement.The overall Theil index of urban land green use efficiency is 0.077. The difference in urban land green use efficiency is mainly caused by the difference in the province. The average contribution rate of provincial differences to urban land green use efficiency is 83.49%. The value of urban land green use efficiency shows obvious spatial differentiation characteristics, that is,declining from the eastern coastal region to the northwest inland region, mainly caused inner provincial differences. There is a significant spatial positive correlation of urban land green utilization, which demonstrates that the green utilization of urban land has produced a clear spatial agglomeration, the mutual influence between cities is strong, and there is a huge difference in the spatial agglomeration state among different provinces. In conclusion, the idea of green development should be integrated into land use to realize the coordination among economy, society and ecology in urban land use; and differentiated management measures should be taken in accordance with the context-specific conditions to facilitate the coordinated development of cities in different regions.
The purpose of the paper is to explore the connotation of urban land use efficiency, and to reveal spatial differentiation of urban land use efficiency values. The research methods include SBM model, Theil index and exploratory spatial data analysis. The research results show that the concept and connotation of urban land green use efficiency are defined from the perspective of "economic-ecological-social" coupling, and the green utilization efficiency of urban land in 284 cities are measured. More specifically, the average value of urban land green use efficiency in 2016 is 0.598.More than 70% of cities are at medium and low efficiency levels, with greater room for improvement.The overall Theil index of urban land green use efficiency is 0.077. The difference in urban land green use efficiency is mainly caused by the difference in the province. The average contribution rate of provincial differences to urban land green use efficiency is 83.49%. The value of urban land green use efficiency shows obvious spatial differentiation characteristics, that is,declining from the eastern coastal region to the northwest inland region, mainly caused inner provincial differences. There is a significant spatial positive correlation of urban land green utilization, which demonstrates that the green utilization of urban land has produced a clear spatial agglomeration, the mutual influence between cities is strong, and there is a huge difference in the spatial agglomeration state among different provinces. In conclusion, the idea of green development should be integrated into land use to realize the coordination among economy, society and ecology in urban land use; and differentiated management measures should be taken in accordance with the context-specific conditions to facilitate the coordinated development of cities in different regions.
引文
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[11]张立新,朱道林,杜挺,等.基于DEA模型的城市建设用地利用效率时空格局演变及驱动因素[J].资源科学,2017,39(3):418-429.
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[15]杨清可,段学军,叶磊,等.基于SBM-Undesirable模型的城市土地利用效率评价——以长三角地区16城市为例[J].资源科学, 2014,36(4):712-721.
[16]李菁,胡碧霞,匡兵,等.中国城市土地利用效率测度及其动态演进特征[J].经济地理,2017,37(8):162-167.
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[19]杨高升,谢秋皓.长江经济带绿色水资源效率时空分异研究——基于SE-SBM与ML指数法[J].长江流域资源与环境,2019,28(2):349-358.
[20]CHUNG Y H, FRE R, GROSSKOPF S. Productivity and undesirable outputs:a directional distance function approach[J]. Journal of Environmental Management, 1995, 51(3):229-240.
[21]FARE R, GROSSKOPF S, NOH D W, et al. Characteristics of a polluting technology:theory and practice[J]. Journal of Econometrics, 2005, 126(2):469-492.
[22]FUKUYAMA H, WEBER W L. A directional slacks-based measure of technical inefficiency[J]. Socio-Economic Planning Sciences, 2009, 43(4):274-287.
[23]TONE K. A slacks-based measure of efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2001, 130(3):498-509.
[24]李国平,王春杨.我国省域创新产出的空间特征和时空演化——基于探索性空间数据分析的实证[J].地理研究,2012,31(1):95-106.
[25]聂雷,郭忠兴,彭冲.基于SBM-Undesirable和Metafrontier模型的城市建设用地利用效率研究[J].资源科学, 2017,39(5):836-845.
[26]孙才志,马奇飞,赵良仕.中国东、中、西三大地区水资源绿色效率时空演变特征与收敛性分析[J].地理科学进展,2018,37(7):901-911.
[27]朱庆芳.衡量城市经济社会发展的新指标体系[J].中国经贸导刊,2001(13):10.
[28]沈建国,沈佳坤,杨赐.社会发展指数评价指标体系的构建研究[J].前沿,2015,(5):126-130.
[29]尹向来,黄彩虹.基础设施与城市化水平耦合协调关系演变——基于285个地级市的实证研究[J].世界地理研究, 2018, 27(6):77-87.
[30]梁流涛.经济增长与环境质量关系研究——以江苏省为例[J].南京农业大学学报(社科版), 2008,8(1):20-25.
[31]芦惠,欧向军,李想,等.中国区域经济差异与极化的时空分析[J].经济地理, 2013, 33(6):15-21.
[32]姜磊,周海峰,柏玲,等.中国城市空气质量指数(AQI)的动态变化特征[J].经济地理, 2018,38(9):87-95.
[2]吴得文,毛汉英,张小雷,等.中国城市土地利用效率评价[J].地理学报,2011,66(8):1111-1121.
[3]王良健,李辉,石川.中国城市土地利用效率及其溢出效应与影响因素[J].地理学报,2015,70(11):1788-1799.
[4]陈丹玲,卢新海,匡兵.长江中游城市群城市土地利用效率的动态演进及空间收敛[J].中国人口·资源与环境,2018,28(12):106-114.
[5]DAVID M, ELIGIUS MT, MARTIN K, et al. A framework to study nearly optimal solutions of linear programming models developed for agricultural land use exploration[J].Ecological Modeling, 2000,131(1):65-77.
[6]HALLEUX J M, MARCINCZAK S, KRABBEN E V D.The adaptive efficiency of land use planning measured by the control of urban sprawl. The cases of the Netherlands,Belgium and Poland[J]. Land Use Policy, 2012, 29(4):887-898.
[7]VERBURG P H, BERKEL D B V, DOORN A M V, et al.Trajectories of land use change in Europe:a model-base exploration of coral futures[J]. Landscape Ecology, 2010, 25(2):217-232.
[8]LI X, ZHANG Q. AHP-based resources and environment efficiency evaluation index system construction about the west side of Taiwan Straits[J]. Annals of Operations Research, 2015, 228(1):97-111.
[9]IRWIN E. New directions for urban economic models of land use change:incorporating spatial dynamics and heterogeneity[J]. Journal of Regional Science, 2010, 50(1):65-91.
[10]李佳佳,罗能生.城镇化进程对城市土地利用效率影响的双门槛效应分析[J].经济地理,2015,35(7):156-162.
[11]张立新,朱道林,杜挺,等.基于DEA模型的城市建设用地利用效率时空格局演变及驱动因素[J].资源科学,2017,39(3):418-429.
[12]梁流涛,赵庆良,陈聪.中国城市土地利用效率空间分异特征及优化路径分析[J].中国土地科学,2013, 27(7):48-54.
[13]王建林,赵佳佳,宋马林.基于内生方向距离函数的中国城市土地利用效率分析[J].地理研究,2017, 36(7):1386-1398.
[14]岳立,李文波.环境约束下的中国典型城市土地利用效率——基于DDF-Global Malmquist-Luenberger指数方法的分析[J].资源科学,2017,39(4):597-607.
[15]杨清可,段学军,叶磊,等.基于SBM-Undesirable模型的城市土地利用效率评价——以长三角地区16城市为例[J].资源科学, 2014,36(4):712-721.
[16]李菁,胡碧霞,匡兵,等.中国城市土地利用效率测度及其动态演进特征[J].经济地理,2017,37(8):162-167.
[17]马建堂. 2012年中国绿色发展指数报告[M].北京:北京师范大学出版社,2012:2-4.
[18]孙才志,姜坤,赵良仕.中国水资源绿色效率测度及空间格局研究[J].自然资源学报,2017,32(12):1999-2011.
[19]杨高升,谢秋皓.长江经济带绿色水资源效率时空分异研究——基于SE-SBM与ML指数法[J].长江流域资源与环境,2019,28(2):349-358.
[20]CHUNG Y H, FRE R, GROSSKOPF S. Productivity and undesirable outputs:a directional distance function approach[J]. Journal of Environmental Management, 1995, 51(3):229-240.
[21]FARE R, GROSSKOPF S, NOH D W, et al. Characteristics of a polluting technology:theory and practice[J]. Journal of Econometrics, 2005, 126(2):469-492.
[22]FUKUYAMA H, WEBER W L. A directional slacks-based measure of technical inefficiency[J]. Socio-Economic Planning Sciences, 2009, 43(4):274-287.
[23]TONE K. A slacks-based measure of efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2001, 130(3):498-509.
[24]李国平,王春杨.我国省域创新产出的空间特征和时空演化——基于探索性空间数据分析的实证[J].地理研究,2012,31(1):95-106.
[25]聂雷,郭忠兴,彭冲.基于SBM-Undesirable和Metafrontier模型的城市建设用地利用效率研究[J].资源科学, 2017,39(5):836-845.
[26]孙才志,马奇飞,赵良仕.中国东、中、西三大地区水资源绿色效率时空演变特征与收敛性分析[J].地理科学进展,2018,37(7):901-911.
[27]朱庆芳.衡量城市经济社会发展的新指标体系[J].中国经贸导刊,2001(13):10.
[28]沈建国,沈佳坤,杨赐.社会发展指数评价指标体系的构建研究[J].前沿,2015,(5):126-130.
[29]尹向来,黄彩虹.基础设施与城市化水平耦合协调关系演变——基于285个地级市的实证研究[J].世界地理研究, 2018, 27(6):77-87.
[30]梁流涛.经济增长与环境质量关系研究——以江苏省为例[J].南京农业大学学报(社科版), 2008,8(1):20-25.
[31]芦惠,欧向军,李想,等.中国区域经济差异与极化的时空分析[J].经济地理, 2013, 33(6):15-21.
[32]姜磊,周海峰,柏玲,等.中国城市空气质量指数(AQI)的动态变化特征[J].经济地理, 2018,38(9):87-95.