贵阳市土地利用绩效评价及障碍因子诊断
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摘要
[目的]测度土地利用绩效水平及诊断其障碍因子,为贵阳市生态文明建设和土地资源管理提供重要参考。[方法]从土地利用经济绩效、社会绩效、生态绩效和公平绩效4个方面构建贵阳市土地利用绩效评价指标体系,运用改进的多属性群体决策理想点法TOPSIS (technique for order preference by similarity to an ideal solution)模型和障碍度模型,对贵阳市2006—2015年土地利用情况进行绩效评价及障碍因子进行诊断。[结果]①贵阳市土地利用绩效在波动中呈稳步上升态势,绩效水平从较差上升至优质;②四大准则层的绩效水平整体提升,但增长方式存在差异,其中社会绩效与生态绩效增速最快,经济绩效与公平绩效相对较晚进入中级水平;③经济绩效和社会绩效是影响土地利用绩效的两大障碍因素;④从指标层因子的障碍度来看,未来影响贵阳市土地利用绩效的主要障碍因子是城市人均可支配收入、生态治理面积、地均就业人数、房价收入比和恩格尔系数。[结论]改进的TOPSIS模型与障碍度模型相结合能够客观、真实地反映贵阳市土地利用绩效变化状况及存在的绩效障碍问题。
[Objective] The land use performance and its diagnose obstacle factors were evaluated in order to provide references for ecological civilization construction and land resource management in Guiyang City. [Methods] The land use performance evaluation index system of Guiyang City was constructed from four aspects: land use economic performance, social performance, ecological performance and fair performance. The improved technique for order preference by similarity to an ideal solution(TOPSIS) model and obstacle degree model were used to evaluate the land use situation of Guiyang City from 2006 to 2015. Performance evaluation and obstacle factors were used for diagnosis. [Results] ① The land use performance of Guiyang City showed a steady upward trend in fluctuations, and the performance level improved from poor to high quality. ② The performance of the four criteria levels improved as a whole, but there were differences in growth patterns, among which, social performance and ecological performance have the fastest growth rate,while the economic performance and fair performance have entered the intermediate level relatively late. ③ Economic performance and social performance were two major factors affecting land use performance. ④ From the obstacles of the indicator factor, the main obstacles affecting the land use performance of Guiyang City in the future would be urban per capital disposable income, ecological management area, average employment, house price income ratio and Engels coefficient. [Conclusion] The improved TOPSIS model combined with the obstacle degree model can objectively and truly reflect the change of land use performance and the existing performance obstacles in Guiyang City.
[Objective] The land use performance and its diagnose obstacle factors were evaluated in order to provide references for ecological civilization construction and land resource management in Guiyang City. [Methods] The land use performance evaluation index system of Guiyang City was constructed from four aspects: land use economic performance, social performance, ecological performance and fair performance. The improved technique for order preference by similarity to an ideal solution(TOPSIS) model and obstacle degree model were used to evaluate the land use situation of Guiyang City from 2006 to 2015. Performance evaluation and obstacle factors were used for diagnosis. [Results] ① The land use performance of Guiyang City showed a steady upward trend in fluctuations, and the performance level improved from poor to high quality. ② The performance of the four criteria levels improved as a whole, but there were differences in growth patterns, among which, social performance and ecological performance have the fastest growth rate,while the economic performance and fair performance have entered the intermediate level relatively late. ③ Economic performance and social performance were two major factors affecting land use performance. ④ From the obstacles of the indicator factor, the main obstacles affecting the land use performance of Guiyang City in the future would be urban per capital disposable income, ecological management area, average employment, house price income ratio and Engels coefficient. [Conclusion] The improved TOPSIS model combined with the obstacle degree model can objectively and truly reflect the change of land use performance and the existing performance obstacles in Guiyang City.
引文
[1] 吴得文,毛汉英,张小雷.中国城市土地利用效率评价[J].地理学报,2011,66(8):1111-1121.
[2] 李春燕,南灵.陕西省土地生态安全动态评价及障碍因子诊断[J].中国土地科学,2015,2(4):72-81.
[3] 邱艳超,张军,王红,等.内蒙古中部城市土地利用绩效及其障碍因素[J].水土保持通报,2017,37(6):269-276.
[4] 桑翠翠,杨海娟,魏光文,等.陕南地区县域土地利用绩效评价[J].水土保持通报,2013,33(3):294-300.
[5] 班茂盛,方创琳,刘晓丽,等.北京高新技术产业区土地利用绩效综合评价[J].地理学报,2008,63(2):175-184.
[6] 韦亚平,赵民,汪劲柏.紧凑城市发展与土地利用绩效的测度:“屠能—阿隆索”模型的扩展与应用[J].城市规划学刊,2008,33(3):32-40.
[7] 吴一洲,吴次芳,罗文斌.浙江省县级单元建成区用地绩效评价及其地域差异研究[J].自然资源学报,2010,25(2):330-340.
[8] 鲁春阳,文枫,杨庆媛,等.基于改进TOPSISI法的城市土地利用绩效评价及障碍因子诊断[J].资源科学,2011,33(3):535-541.
[9] 崔许锋,张光宏,徐成,等.经济发达地区土地利用绩效评价及其改进路径探讨:以江苏省为例[J].农业经济问题,2017,38(12):81-88.
[10] 王莹,王慧敏.基于熵权TOPSIS模型的城市建设用地供应绩效评价及障碍度诊断[J].中国农业资源与区划,2018,39(5):110-118.
[11] 任红玉,周旭,张迪,等.快速城市化过程中喀斯特山区城镇生态风险变化:以贵阳市花溪区为例[J].贵州师范大学学报:自然科学版,2018,36(5):16-23.
[12] 钟太洋,黄贤金,赵云泰,等.地方政府土地管理绩效评价方法研究[J].中国土地科学,2012,26(9):21-27.
[13] 吴振华,黎响,王亚蓓.动态视角下的工业用地集约利用评价研究:基于改进熵权TOPSIS法[J].生态经济,2018,34(7):125-136.
[14] 盛中华,董会忠,殷秀清,等.基于熵权可拓模型的土地利用规划环境影响评价:以黄河三角洲高效生态经济区为例[J].资源开发与市场,2017,33(12):1433-1438.
[15] 李灿,张凤荣,朱泰峰,等.基于熵权TOPSIS模型的土地利用绩效评价及关联分析[J].农业工程学报,2013,29(5):217-227.
[16] 吴顺辉,史金丽,李灿.基于熵权TOPSIS模型的高新区土地利用绩效评价[J].科技通报,2017,33(4):40-46.
[17] 宋成舜,熊征,刘懿光.城市土地集约利用效益障碍因子研究:以咸宁市为例[J].水土保持研究,2016,23(2):327-332.
[18] 陈彦,陈英,谢保鹏,等.嘉峪关市土地利用绩效评价及障碍因子诊断[J].水土保持研究,2018,25(5):226-233.
[19] 崔许锋,张光宏.城镇用地“经济—社会—生态”绩效空间分析与障碍诊断[J].人文地理,2016(1):94-101.
[20] 雷勋平,Qiu Robin,刘勇.基于熵权TOPSIS模型的区域土地利用绩效评价及障碍因子诊断[J].农业工程学报,2016,32(13):243-252.
[21] 周忠发,田涟祎,殷超,等.人为干预下喀斯特峰丛盆地区不同土地利用类型的土壤理化性质[J].贵州师范大学学报:自然科学版,2017,35(4):1-6.
[2] 李春燕,南灵.陕西省土地生态安全动态评价及障碍因子诊断[J].中国土地科学,2015,2(4):72-81.
[3] 邱艳超,张军,王红,等.内蒙古中部城市土地利用绩效及其障碍因素[J].水土保持通报,2017,37(6):269-276.
[4] 桑翠翠,杨海娟,魏光文,等.陕南地区县域土地利用绩效评价[J].水土保持通报,2013,33(3):294-300.
[5] 班茂盛,方创琳,刘晓丽,等.北京高新技术产业区土地利用绩效综合评价[J].地理学报,2008,63(2):175-184.
[6] 韦亚平,赵民,汪劲柏.紧凑城市发展与土地利用绩效的测度:“屠能—阿隆索”模型的扩展与应用[J].城市规划学刊,2008,33(3):32-40.
[7] 吴一洲,吴次芳,罗文斌.浙江省县级单元建成区用地绩效评价及其地域差异研究[J].自然资源学报,2010,25(2):330-340.
[8] 鲁春阳,文枫,杨庆媛,等.基于改进TOPSISI法的城市土地利用绩效评价及障碍因子诊断[J].资源科学,2011,33(3):535-541.
[9] 崔许锋,张光宏,徐成,等.经济发达地区土地利用绩效评价及其改进路径探讨:以江苏省为例[J].农业经济问题,2017,38(12):81-88.
[10] 王莹,王慧敏.基于熵权TOPSIS模型的城市建设用地供应绩效评价及障碍度诊断[J].中国农业资源与区划,2018,39(5):110-118.
[11] 任红玉,周旭,张迪,等.快速城市化过程中喀斯特山区城镇生态风险变化:以贵阳市花溪区为例[J].贵州师范大学学报:自然科学版,2018,36(5):16-23.
[12] 钟太洋,黄贤金,赵云泰,等.地方政府土地管理绩效评价方法研究[J].中国土地科学,2012,26(9):21-27.
[13] 吴振华,黎响,王亚蓓.动态视角下的工业用地集约利用评价研究:基于改进熵权TOPSIS法[J].生态经济,2018,34(7):125-136.
[14] 盛中华,董会忠,殷秀清,等.基于熵权可拓模型的土地利用规划环境影响评价:以黄河三角洲高效生态经济区为例[J].资源开发与市场,2017,33(12):1433-1438.
[15] 李灿,张凤荣,朱泰峰,等.基于熵权TOPSIS模型的土地利用绩效评价及关联分析[J].农业工程学报,2013,29(5):217-227.
[16] 吴顺辉,史金丽,李灿.基于熵权TOPSIS模型的高新区土地利用绩效评价[J].科技通报,2017,33(4):40-46.
[17] 宋成舜,熊征,刘懿光.城市土地集约利用效益障碍因子研究:以咸宁市为例[J].水土保持研究,2016,23(2):327-332.
[18] 陈彦,陈英,谢保鹏,等.嘉峪关市土地利用绩效评价及障碍因子诊断[J].水土保持研究,2018,25(5):226-233.
[19] 崔许锋,张光宏.城镇用地“经济—社会—生态”绩效空间分析与障碍诊断[J].人文地理,2016(1):94-101.
[20] 雷勋平,Qiu Robin,刘勇.基于熵权TOPSIS模型的区域土地利用绩效评价及障碍因子诊断[J].农业工程学报,2016,32(13):243-252.
[21] 周忠发,田涟祎,殷超,等.人为干预下喀斯特峰丛盆地区不同土地利用类型的土壤理化性质[J].贵州师范大学学报:自然科学版,2017,35(4):1-6.
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