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作 者:王玲 桑晓靖 董丽娟 万红莲[1] WANG Ling;SANG Xiaojing;DONG Lijuan;WAN Honglian(School of Geography and Environment,Baoji University of Arts and Sciences,Baoji,Shaanxi 721013;School of Business,Xi’an International Studies University,Xi’an,Shaanxi 710061,China)
机构地区:[1]宝鸡文理学院地理与环境学院,陕西宝鸡721013 [2]西安外国语大学商学院,陕西西安710061
出 处:《贵州农业科学》2021年第6期113-119,共7页Guizhou Agricultural Sciences
基 金:陕西省科技厅软科学项目(2018KRM082)。
摘 要:【目的】探明内江市土地资源集约利用水平,为内江市土地资源的合理利用与可持续发展提供参考依据。【方法】选取2011-2018年内江市土地农业利用率、人均建设用地、地均农业产值等指标数据,采用层次分析法构建内江市土地集约利用水平模型,研究内江市土地集约利用水平及变化趋势,分析制约内江市土地集约利用的影响因素,并与同期成都市进行比较。【结果】2011-2018年内江市土地集约利用程度总体呈缓慢上升趋势,综合指数为同期成都市的49%~68%,以2017年最高,为同期成都市的68%,2012年最低,为同期成都市的49%;2011-2016年处于基本集约利用阶段,2017-2018年处于较为集约利用阶段;人口密度、交通用地和GDP是内江市土地集约利用程度的最大制约因素。【结论】2011-2018年内江市土地集约利用程度总体呈缓慢上升趋势,人口密度、交通用地和GDP是其最大制约因素;提出了相应的对策与建议。【Objective】To provide a reference for rational utilization and sustainable development of land resource in Neijiang City,the intensive use level of land resource in Neijiang City is explored.【Method】Selecting land agricultural use rate,per capita constructive land,agricultural output value per km^(2) and other indexes in Neijiang City from^(2)011 to 2018,land intensive use level model of Neijiang City is established by analytic hierarchy process to study land intensive use level and change trend and analyze the restricting factors influencing land intensive use in Neijiang City,and then the comparison with Chengdu City in the same period is carried out.【Result】Land intensive use level in Neijiang City from^(2)011 to 2018 show a slow rising trend.The highest comprehensive index in Neijiang is in 2017,68%that of Chengdu City in the same period;the lowest is in 2012,49%that of Chengdu City in the same period.From^(2)011 to 2016,it is in basic intensive use stage,and it is in more intensive use stage during 2017-2018.Population density,transportation land and GDP are the greatest factors restricting land intensive use level in Neijiang City.【Conclusion】Land intensive use level in Neijiang City from^(2)011 to 2018 shows a slow upward trend.Population density,transportation land and GDP are the greatest restraining factors.The corresponding countermeasures and suggestions are put forward at the same time.
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