基于熵权TOPSIS模型的福建省土地利用绩效评价及灰色关联分析
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摘要
基于福建省土地利用的背景与现状,从土地利用经济绩效、社会绩效和生态绩效3个层面构建土地利用绩效评价指标体系,运用熵值赋权法确定其指标权重,采用改进的TOPSIS模型评价分析2006-2016年福建省土地利用绩效的状况,并用灰色关联分析法分析影响土地利用绩效的主要因子.熵权TOPSIS模型研究结果表明:2006-2016年,福建省土地利用综合绩效呈逐年递增的态势,经历了低级绩效阶段(2006-2009年)-中级绩效阶段(2010-2012年)-良好绩效阶段(2013-2014年)-优质绩效阶段(2015-2016年)的演变历程.灰色关联分析结果显示:福建省土地利用经济绩效对土地利用综合绩效的影响最为显著;土地利用社会绩效对土地利用综合绩效有明显的推动作用;相比之下,土地利用生态绩效对提高土地利用综合绩效的贡献度并不突出.
In view of the background and present situation of land use in Fujian province,sets up land use performance evaluation index system from economic performance,social performance and ecological performance of land use,uses entropy weighting method to determine the index weight,uses improved TOPSIS model to evaluate the performance of land use in Fujian province from 2006 to 2016,and then the key factors affecting the performance of land use are analyzed by the grey correlation analysis method.The research results of entropy-weight TOPSIS model show that from 2006 to 2016,the land use comprehensive performance in Fujian province shows a trend of increasing year by year,experiencing the evolution process of low performance stage(2006-2009)-intermediate performance stage(2010-2012)-good performance stage(2013-2014)-high quality performance stage(2015-2016).Grey correlation analysis results show that the economic performance of land use in Fujian has the most significant impact on the comprehensive performance of land use; the social performance of land use has a significant role in promoting the comprehensive performance of land use; In contrast,the contribution of land use ecological performance to improving the comprehensive performance of land use is not outstanding.
In view of the background and present situation of land use in Fujian province,sets up land use performance evaluation index system from economic performance,social performance and ecological performance of land use,uses entropy weighting method to determine the index weight,uses improved TOPSIS model to evaluate the performance of land use in Fujian province from 2006 to 2016,and then the key factors affecting the performance of land use are analyzed by the grey correlation analysis method.The research results of entropy-weight TOPSIS model show that from 2006 to 2016,the land use comprehensive performance in Fujian province shows a trend of increasing year by year,experiencing the evolution process of low performance stage(2006-2009)-intermediate performance stage(2010-2012)-good performance stage(2013-2014)-high quality performance stage(2015-2016).Grey correlation analysis results show that the economic performance of land use in Fujian has the most significant impact on the comprehensive performance of land use; the social performance of land use has a significant role in promoting the comprehensive performance of land use; In contrast,the contribution of land use ecological performance to improving the comprehensive performance of land use is not outstanding.
引文
[1]周丹丹.城市土地利用绩效评价研究[D].重庆:重庆大学,2010.
[2]黄青青,武国胜.基于耦合关系的土地利用效益评价——以福州市为例[J].福建师范大学学报(自然科学版),2018,34(1):87-94.
[3]刘国霞,张杰,马毅,等.2008年海陵岛土地利用类型适宜性评价[J].海洋学研究,2012,30(1):82-94.
[4]雷勋平,QIU R B,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):243-253.
[5]魏宁宁,陈会广,张全景.基于模糊物元模型的开发区土地集约利用评价[J].重庆大学学报(社会科学版),2018,24(1):11-21.
[6]丁以芳,张仁陟,陈英.基于因子分析法的县域土地集约利用评价研究——以甘肃省康乐县为例[J].甘肃农业大学学报,2011,46(3):93-98.
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[9]鲁春阳,文枫,杨庆媛,等.基于改进TOPSIS法的城市土地利用绩效评价及障碍因子诊断——以重庆市为例[J].资源科学,2011,33(3):535-541.
[10]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.
[11]胡永宏.对TOPSIS法用于综合评价的改进[J].数学的实践与认识,2002(4):572-575.
[12]OZERNOY V M.Choosing the “best” multiple criteria decision making method[J].Infor,1992(30):159-171.
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[14]张明华,郑元文.近10年来山东省区域经济发展差异时空演变及驱动力分析[J].经济地理,2013,33(1):79-85.
[15]李刚,迟国泰,程砚秋.基于熵权TOPSIS的人的全面发展评价模型及实证[J].系统工程学报,2011,26(3):400-407.
[16]陈士银,周飞,吴雪彪.基于绩效模型的区域土地利用可持续性评价[J].农业工程学报,2009,25(6):249-253.
[17]温丽华.灰色系统理论及其应用[D].哈尔滨:哈尔滨工程大学,2003.
[18]周磊,黄秋昊.基于灰色关联TOPSIS的城市土地效益评价及障碍因子诊断[J].水土保持研究,2014,21(4):39-44.
[19]张晶涛.中国海峡西岸经济区加大开发力度问题探讨[D].大连:辽宁师范大学,2011.
[2]黄青青,武国胜.基于耦合关系的土地利用效益评价——以福州市为例[J].福建师范大学学报(自然科学版),2018,34(1):87-94.
[3]刘国霞,张杰,马毅,等.2008年海陵岛土地利用类型适宜性评价[J].海洋学研究,2012,30(1):82-94.
[4]雷勋平,QIU R B,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):243-253.
[5]魏宁宁,陈会广,张全景.基于模糊物元模型的开发区土地集约利用评价[J].重庆大学学报(社会科学版),2018,24(1):11-21.
[6]丁以芳,张仁陟,陈英.基于因子分析法的县域土地集约利用评价研究——以甘肃省康乐县为例[J].甘肃农业大学学报,2011,46(3):93-98.
[7]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(2):175-184.
[8]张荣天,焦华富.转型期省际城镇土地利用绩效格局演变与机理[J].地理研究,2014,33(12):2251-2262.
[9]鲁春阳,文枫,杨庆媛,等.基于改进TOPSIS法的城市土地利用绩效评价及障碍因子诊断——以重庆市为例[J].资源科学,2011,33(3):535-541.
[10]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.
[11]胡永宏.对TOPSIS法用于综合评价的改进[J].数学的实践与认识,2002(4):572-575.
[12]OZERNOY V M.Choosing the “best” multiple criteria decision making method[J].Infor,1992(30):159-171.
[13] STEWART T J.A critical survey on the status of multiple criteria decision making theory and practice[J].Omega,1992(20):569-586.
[14]张明华,郑元文.近10年来山东省区域经济发展差异时空演变及驱动力分析[J].经济地理,2013,33(1):79-85.
[15]李刚,迟国泰,程砚秋.基于熵权TOPSIS的人的全面发展评价模型及实证[J].系统工程学报,2011,26(3):400-407.
[16]陈士银,周飞,吴雪彪.基于绩效模型的区域土地利用可持续性评价[J].农业工程学报,2009,25(6):249-253.
[17]温丽华.灰色系统理论及其应用[D].哈尔滨:哈尔滨工程大学,2003.
[18]周磊,黄秋昊.基于灰色关联TOPSIS的城市土地效益评价及障碍因子诊断[J].水土保持研究,2014,21(4):39-44.
[19]张晶涛.中国海峡西岸经济区加大开发力度问题探讨[D].大连:辽宁师范大学,2011.