碳排放影响下的中国省域土地利用效率差异动态变化与影响因素
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摘要
土地利用效率是衡量区域经济社会系统运行质量的重要参数。在构建了考虑非期望产出的土地利用效率评价指标体系基础之上,综合运用Super SBM-undesirable DEA和多元统计等研究方法,分析了2003—2016年碳排放影响下的中国省域土地利用效率的时空特征及其影响因素。研究结果表明:中国区域土地利用效率处于中低水平,碳排放非期望产出降低了15%的土地利用效率水平;与全国发展水平空间格局一致,土地利用效率省际差异在空间上呈现出自东向西逐渐递减的分异特征;2003—2016年,土地利用效率演化呈现出"U"型演进特征,区域差异呈现收敛态势;不考虑非期望产出的土地利用效率水平呈现下降态势;非期望产出和能源消费投入过大成为土地利用效率提升的主要限制因素。经济发展水平、对外开放程度以及固定资产投资对土地利用效率的提升起到了显著的正向作用;现阶段城镇化水平的增加对土地利用效率的提升具有微弱促进作用,且仅在东部地区具有显著性。基于松弛变量冗余度和影响因素分析,针对不同区域土地利用效率低效的差异性因素,提出了相应的对策措施。
Land use efficiency(LUE) is an important parameter reflecting the operation quality of regional economic and social system. Based on the evaluation index system of LUE considering undesirable output, this paper attempts to evaluate Land use efficiency in China based on the Super SBM-undesirable DEA model considering undesirable output and explores the influence factors of LUE in China during the period 2003—2016. The empirical results show that during the research period, most provinces in China are not performing efficiently. Additionally, the overall average level of China′s LUE is at a medium or low level, and the carbon emission output reduces the level of LUE by 15%. Consistent with the spatial pattern of the national economic development level, the inter-provincial difference of LUE demonstrates a declining trend from eastern to western China. From 2003 to 2016, the evolution of the level of LUE demonstrates a "U" evolution feature, and the level of LUE without considering undesirable output presents a declining trend. Undesirable output and excessive energy consumption input become the main limiting factors for improvement of LUE. The level of economic development, the degree of opening-up, and the fixed assets investment have significant positive effects on LUE. At present, the increase of urbanization level has a weak promoting effect on improvement of LUE, which is only significant in the Eastern China. Based on the redundancy of slack variables and the analysis of influencing factors, this paper puts forward the corresponding countermeasures against the different factors of LUE and low efficiency in different regions.
Land use efficiency(LUE) is an important parameter reflecting the operation quality of regional economic and social system. Based on the evaluation index system of LUE considering undesirable output, this paper attempts to evaluate Land use efficiency in China based on the Super SBM-undesirable DEA model considering undesirable output and explores the influence factors of LUE in China during the period 2003—2016. The empirical results show that during the research period, most provinces in China are not performing efficiently. Additionally, the overall average level of China′s LUE is at a medium or low level, and the carbon emission output reduces the level of LUE by 15%. Consistent with the spatial pattern of the national economic development level, the inter-provincial difference of LUE demonstrates a declining trend from eastern to western China. From 2003 to 2016, the evolution of the level of LUE demonstrates a "U" evolution feature, and the level of LUE without considering undesirable output presents a declining trend. Undesirable output and excessive energy consumption input become the main limiting factors for improvement of LUE. The level of economic development, the degree of opening-up, and the fixed assets investment have significant positive effects on LUE. At present, the increase of urbanization level has a weak promoting effect on improvement of LUE, which is only significant in the Eastern China. Based on the redundancy of slack variables and the analysis of influencing factors, this paper puts forward the corresponding countermeasures against the different factors of LUE and low efficiency in different regions.
引文
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[21] 卢新海,匡兵,李菁.碳排放约束下耕地利用效率的区域差异及其影响因素.自然资源学报,2018,33(4):657- 668.
[22] 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.中国土地科学,2018,32(10):59- 66.
[23] 张雅杰,金海.长江中游地区城市建设用地利用效率及驱动机理研究.资源科学,2015,37(7):1384- 1393.
[24] 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——基于287个地级以上城市的实证研究.中国土地科学,2013,27(7):48- 54.
[25] 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.地理学报,2015,70(11):1788- 1799.
[26] 张梅,赖力,黄贤金,揣小伟,谈俊忠.中国区域土地利用类型转变的碳排放强度研究.资源科学,2013,35(4):792- 799.
[27] Tone K.A slacks-based measure of super-efficiency in data envelopment analysis.European Journal of Operational Research,2002,143(1):32- 41.
[28] 张军,章元.对中国资本存量K的再估计.经济研究,2003,38(7):35- 43,90- 90.
[29] 徐国泉,刘则渊,姜照华.中国碳排放的因素分解模型及实证分析:1995- 2004.中国人口·资源与环境,2006,16(6):158- 161.
[30] Charnes A,Cooper W W,Rhodes E.Measuring the efficiency of decision-making units.European Journal of Operational Research,1978,2(6):429- 444.
[2] 许学强,周一星,宁越敏.城市地理学.北京:高等教育出版社,1997.
[3] 刘盛和,吴传钧,陈田.评析西方城市土地利用的理论研究.地理研究,2001,20(1):111- 119.
[4] 刘盛和.城市土地利用扩展的空间模式与动力机制.地理科学进展,2002,21(1):43- 50.
[5] 丁成日.城市增长与对策:国际视角与中国发展.北京:高等教育出版社,2009.
[6] DiPasquale D,Wheaton W C.Urban Economics and Real Estate Markets.Englewood:Prentice Hall,1995.
[7] Deilmann C,Lehmann I,Rei?mann D,Hennersdorf J.Data envelopment analysis of cities-investigation of the ecological and economic efficiency of cities using a benchmarking concept from production management.Ecological Indicators,2016,67:798- 806.
[8] Rinanti A,Dewi K,Kardena E,Astuti D I.Biotechnology carbon capture and storage (CCS) by mix-culture green microalgae to enhancing carbon uptake rate and carbon dioxide removal efficiency with variation aeration rates in closed system photobioreactor.Journal of Teknologi,2014,69(6):105- 109.
[9] Su D Z.GIS-based urban modelling:practices,problems,and prospects.International Journal of Geographical Information Science,1998,12(7):651- 671.
[10] Verburg P H,van Berkel D B,van Doorn A M,van Eupen M,van den Heiligenberg H A R M.Trajectories of land use change in Europe:a model-based exploration of rural futures.Landscape Ecology,2010,25(2):217- 232.
[11] Langpap C,Hascic I,Wu J J.Protecting watershed ecosystems through targeted local land use policies.American Journal of Agricultural Economics,2008,90(3):684- 700.
[12] 陈荣.城市土地利用效率论.城市规划汇刊,1995,(4):28- 33.
[13] 刘彦随.城市土地区位与土地收益相关分析.陕西师大学报:自然科学版,1995,23(1):95- 100.
[14] 董黎明,冯长春.城市土地综合经济评价的理论方法初探.地理学报,1989,44(3):323- 333.
[15] 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.中国人口·资源与环境,2018,28(12):106- 114.
[16] 吴得文,毛汉英,张小雷,黄金川.中国城市土地利用效率评价.地理学报,2011,66(8):1111- 1121.
[17] 杨清可,段学军,叶磊,张伟.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.资源科学,2014,36(4):712- 721.
[18] 郑新奇,王筱明.城镇土地利用结构效率的数据包络分析.中国土地科学,2004,18(2):34- 39.
[19] 宋吉涛,宋吉强,宋敦江.城市土地利用结构相对效率的判别性分析.中国土地科学,2006,20(6):9- 15.
[20] 金贵,吴锋,李兆华,郭柏枢,赵晓东.快速城镇化地区土地利用及生态效率测算与分析.生态学报,2017,37(23):8048- 8057.
[21] 卢新海,匡兵,李菁.碳排放约束下耕地利用效率的区域差异及其影响因素.自然资源学报,2018,33(4):657- 668.
[22] 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.中国土地科学,2018,32(10):59- 66.
[23] 张雅杰,金海.长江中游地区城市建设用地利用效率及驱动机理研究.资源科学,2015,37(7):1384- 1393.
[24] 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——基于287个地级以上城市的实证研究.中国土地科学,2013,27(7):48- 54.
[25] 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.地理学报,2015,70(11):1788- 1799.
[26] 张梅,赖力,黄贤金,揣小伟,谈俊忠.中国区域土地利用类型转变的碳排放强度研究.资源科学,2013,35(4):792- 799.
[27] Tone K.A slacks-based measure of super-efficiency in data envelopment analysis.European Journal of Operational Research,2002,143(1):32- 41.
[28] 张军,章元.对中国资本存量K的再估计.经济研究,2003,38(7):35- 43,90- 90.
[29] 徐国泉,刘则渊,姜照华.中国碳排放的因素分解模型及实证分析:1995- 2004.中国人口·资源与环境,2006,16(6):158- 161.
[30] Charnes A,Cooper W W,Rhodes E.Measuring the efficiency of decision-making units.European Journal of Operational Research,1978,2(6):429- 444.