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重庆市农村耕地资源贫困测度及空间格局研究

蔡进 廖和平 邱道持 骆东奇 李涛 李靖

农业工程学报2017,Vol.33Issue(18):251-259,9.
农业工程学报2017,Vol.33Issue(18):251-259,9.DOI:10.11975/j.issn.1002-6819.2017.18.033

重庆市农村耕地资源贫困测度及空间格局研究

Study on poverty measure of farmland resources and spatial pattern in Chongqing

蔡进 1廖和平 1邱道持 2骆东奇 3李涛 1李靖1

作者信息

  • 1. 西南大学地理科学学院,重庆400715
  • 2. 重庆市国土资源和房屋管理局,重庆400015
  • 3. 重庆工商大学商务策划学院,重庆400067
  • 折叠

摘要

Abstract

As the core element of agricultural production,arable land resource provides an important support for regional food security and rural economic and social development.The measurement of arable land resource poverty and the revelation of its space aggregation and alienation pose a great significance to improve the arable land utilization,coordinate the urban,rural and regional development and target the poverty alleviation.This paper establishes a model of arable land poverty index,which combines dynamic analytic hierarchy process (AHP),exploratory spatial data analysis (ESDA),and Moran's index,to conduct the research on the poverty of arable land resource and its spatial aggregation and alienation in 37 regions and counties of Chongqing City through building an evaluation system for rural arable land poverty measurement on the basis of the concept “arable resource poverty”.The study shows,in time dimension,the arable land poverty in Chongqing City gradually reduces and the large gaps between regions and counties indicate a decrease year by year.With the progress of farming technologies,land policies and infrastructure,the capabilities of human to adapt to the arable land poverty are enhancing.However,the arable land resource tends to shift from natural poverty to social and economic poverty.In spatial dimension,the poverty of arable land resource in Chongqing City presents a trend of northeast>southeast>new city district>main urban area based on the degree of poverty mainly due to the regional natural environment conditions,the resource spatial distribution and the huge difference of regional economic and social status.The high value area of poverty moves from southeast to northeast,while the low value area radiates from the main urban area towards the new city district.Based on the spatial connection,the spatial aggregation of arable land resource among regions and counties in Chongqing becomes visible,and the aggregation profits are increasing,while part of similar values are weakening,and the high-high aggregation areas are mainly situated in the southeast and northeast areas of Chongqing,and the low-low aggregation areas are located in the main urban area and new city district;the high-value center of aggregation shifts from the southeast to the northeast,and the low-value center is moving from the main urban area to the new city district;the arable land resource poverty in part of main urban area tends to aggravate.Therefore,intensifying the management on the arable land resource poverty and reducing the natural difference among arable land resource distribution leading to regional development imbalance are the key issues for governments and academia.The paper suggests that the government should:1) increase the investment in the rural infrastructure,especially in the poor areas including the southeast and northeast areas of Chongqing to improve the farming conditions;2) reinforce the management of the rural land,especial for arable land in order to elevate the quality and quantity of the arable land resource;3) improve the land system and policies,and propel the farming technology research to diminish the social and economic poverty of arable land resource so as to shake off the restrictions from the natural resources scarcity and provide a new idea and thought for relieving the arable land resource poverty.

关键词

资源评价/自相关/集聚/耕地/贫困/莫兰指数/空间格局/重庆市

Key words

resource valuation/autocorrelation/agglomeration/farmland/poverty/Moran's I/spatial pattern/Chongqing

分类

管理科学

引用本文复制引用

蔡进,廖和平,邱道持,骆东奇,李涛,李靖..重庆市农村耕地资源贫困测度及空间格局研究[J].农业工程学报,2017,33(18):251-259,9.

基金项目

教育部人文社会科学重点研究基地重大项目“长江上游地区城乡统筹发展研究”(16JJD790064) (16JJD790064)

中央高校基本科研业务费专项资金资助(XDJK2017C007) (XDJK2017C007)

农业工程学报

OA北大核心CSCDCSTPCD

1002-6819

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