Evaluation of performance and diagnosis of obstacle factors for land use in prefecture-level cities in Xinjiang

doi:10.14088/j.cnki.issn0439-8114.2022.12.038

Abstract

Abstract: The indicator system was constructed from the land input level, use structure, economic, social and ecological performance, and the entropy TOPSIS method and obstacle degree model were used to evaluate performance and identify and diagnose obstacle factors for land use of the prefecture-level cities in Xinjiang from 2009 to 2018. The results showed that the overall performance of land use in Urumqi city, Turpan city, and Hami city fluctuated and increased from 2009 to 2018, while the comprehensive performance of land use in Karamay city declined first and then increased; social performance of land use and land use structure were important factors to improve land use performance of prefecture-level cities in Xinjiang;the main factors affecting the land use performance of prefecture-level cities in Xinjiang in the future were the sewage treatment rate, the number of sanitary beds per unit of construction land, and the amount of fixed asset investment per unit of construction land. Therefore, prefecture-level cities in Xinjiang should maintain land investment and economic development, optimize the structure of land use, and explore the coordinated development of economic, social and ecological performance of land use.

Key words: land use, performance evaluation, obstacle factor, Xinjiang

CLC Number:

F299.23

DONG Lu, PU Chun-ling, JIANG Chang-pan, YAN Zhi-ming. Evaluation of performance and diagnosis of obstacle factors for land use in prefecture-level cities in Xinjiang[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(12): 193-199.

References

[1] 吴一凡,雷国平,路昌,等. 基于改进TOPSIS模型的大庆市城市土地利用绩效评价及障碍度诊断[J]. 水土保持研究,2015, 22(4):85-90.
[2] 余兆武,郭青海,曾瑜皙,等. 城镇化过程土地利用变化及效应研究进展[J]. 生态科学,2015,34(6):193-200.
[3] 胥祥,周国富,周宇洋,等. 贵阳市土地利用绩效评价及障碍因子诊断[J]. 水土保持通报,2019,39(3):243-250.
[4] 卫晓庆,王涛,李嘉霖,等. 京津冀地区新型城镇化对土地生态效率影响的实证分析[J]. 生态科学,2020,39(1):118-127.
[5] 周峰,濮励杰,彭补拙. 苏锡常地区土地利用变化及其绩效分析[J]. 自然资源学报,2006,21(3): 392-400,501.
[6] 吴一洲,吴次芳,罗文斌,等. 浙江省城市土地利用绩效的空间格局及其机理研究[J].中国土地科学,2009,23(10):41-46.
[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] 周丹丹. 城市土地利用绩效评价研究[D].重庆:重庆大学,2010.
[9] 花盛,吴晓涛.城市土地利用绩效动态评价研究[J].资源开发与市场,2013,29(7): 738-741.
[10] 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.
[11] 潘竟虎,郑凤娟.甘肃省县域土地利用绩效的空间差异测度及其机理研究[J].西北师范大学学报(自然科学版),2011,47(1):87-92.
[12] 陈浩龙,刘毅华,吴大放,等.基于县域单元的广东省土地利用绩效空间差异研究[J].热带地理,2013,33(1):48-55.
[13] 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.
[14] 宋慧敏,薛亮.渭南市土地利用与生态环境协调发展预测与评价[J].生态科学,2016,35(6):91-97.
[15] 谭术魁,郑君怡,李雅楠.湖北省城市土地利用绩效评价及障碍度分析——基于改进TOPSIS法[J].中国房地产,2015(12):35-44.
[16] 罗雅红,龚建周,姚昆.成都平原经济区土地可持续利用水平变化及驱动因素分析[J].生态科学,2019,38(6):8-14.
[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] 雷勋平,Robin Qiu,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.
[19] 王磊,王琰琰,张宇.城市土地利用效益与城市化耦合协调性分析——以环渤海地区27个城市为例[J].生态经济,2017,33(5):25-28,74.