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农民工对流出地农村人居环境改善的影响 被引量:23

On Impact Study of the Outflow of Peasant Workers in Rural Areas to Improve the Living Environment
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摘要 随着各地农民工的大量外出,农村的经济、政治、居住环境等都受到了极大影响。本研究拟以四川省为例,通过在不同区域内进行实地调查和访谈,构建相应的指标评价体系,运用模糊综合评价方法,系统地分析农民工对流出地农村人居环境改善所产生的影响。分析结果发现:农民工的流动对山区人居环境改善的影响最大,丘陵次之,平原最小;在对家庭影响方面和对公共环境影响方面,农民工对丘陵的影响值都明显高于平原和山区;在对周围人影响方面,对山区和平原的影响值差异不明显,但对丘陵地区的影响却基本为零。因此,政府应该加大对贫困地区的投入力度,拓宽农民工的就业途径;加强宣传教育,重视对农民工的科普知识教育;合理规划环境,强化农村环境监管体系。 With the large number of peasant workers moving out, the rural economy, politics, the living environment and so on have been seriously affected. This study is intended to take Sichuan Province as an example, through making surveys and interviews in the different regions to build the corresponding index evaluation system. The paper systematically analyze the impact of the outflow of peasant workers to improve the living environment in rural areas with the use of fuzzy comprehensive evaluation method. The result shows that the flow of peasant workers has the greatest impact on the improvement of mountain habitat environment, followed by the impact on hills, plains minimum. On the aspect of the impact on families and on public environment, the impact of peasant workers on the hills is significantly higher than the impact on plain and mountain. On the aspect of the impact on those around them, the impacts on mountains and on plains are basically the same, but the impact of hilly areas is basically zero. Therefore, firstly the government should increase investment to the poverty-stricken areas and broaden the avenues for employment of peasant workers. Secondly, strengthen publicity and education, and pay attention to science education for peasant workers. Thirdly make rational planning for the environment and strengthen the rural environment monitoring system.
出处 《中国人口·资源与环境》 CSSCI 北大核心 2010年第8期22-26,共5页 China Population,Resources and Environment
基金 国家社科基金项目"西南地区农民工对流出地新农村建设的影响研究"(编号:08BJY100)的部分研究成果
关键词 四川省 农民工 农村人居环境 模糊综合评价 Sichuan Province peasant workers living environment in rural areas Fuzzy comprehensive evaluation
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