长江流域资源与环境 >> 2018, Vol. 27 >> Issue (11): 2597-2608.doi: 10.11870/cjlyzyyhj201811021

• 农业发展 • 上一篇    下一篇

基于农户视角的秸秆机械化 还田服务绩效评价及其障碍因子诊断——来自冀、鲁、皖、鄂四省的调查

盖豪1,2, 颜廷武1,2*,何可1,2,张俊飚1,2    

  1. (1.华中农业大学经济管理学院,湖北 武汉 430070; 2.湖北农村发展研究中心,湖北 武汉 430070
  • 出版日期:2018-11-20 发布日期:2018-12-14

A Evaluation of Mechanized Straw Returning Service Performance and Its Obstacle Indicators Based on Famers’Perspective:Based on the Investigation of Hebei, Shandong, Anhui and Hubei Provinces in Four Provinces

GAI Hao1,2, YAN Tingwu1,2, HE Ke1,2, ZHANG Junbiao1,2   

  1. (1.College of Economics & Management, Huazhong Agricultural University, Wuhan 430070,China;
    2.Hubei Rural Development Research Center, Huazhong Agricultural University, Wuhan 430070,China
  • Online:2018-11-20 Published:2018-12-14

摘要: 农户是秸秆机械化还田服务的直接受益者,从农户视角来评价秸秆还田服务绩效水平,并诊断其可能的障碍因子,可为提高秸秆还田服务绩效提供决策依据。从秸秆还田服务过程和秸秆还田服务结果两个阶段、农户经济人属性和社会人属性两个方面构建秸秆机械化还田服务绩效评价指标体系,采用基于熵权改进的TOPSIS法和障碍度模型,通过对冀、鲁、皖、鄂四省农户的问卷调查,评价秸秆机械化还田服务绩效水平及障碍因子。结果显示:山东省秸秆机械化还田服务绩效水平为“优秀”,河北省的绩效水平“一般”,湖北省和安徽省绩效水平“较差”。秸秆机械化还田服务绩效水平最重要的影响因素是农户对秸秆机械化还田结果的评价,其次是还田过程阶段的评价;影响秸秆机械化还田服务绩效水平的主要因子为还田服务后社会发展情况、耕地病虫害情况、还田政策补贴及还田后耕地熵情的评价。为此,提高秸秆机械化还田服务的绩效水平,加强对秸秆机械化还田服务的宣传推广,积极完善秸秆机械化还田补贴等政策措施,提高还田后配套化设施及服务供给,应是当前政策关注的重心。

关键词: 秸秆机械化还田, 服务绩效, 障碍度, TOPSIS法

Abstract: The farmers are the ultimate beneficiaries of Mechanized Straw Returning service(MSRS).Evaluating MSRS performance based on farmers’perspectives and the diagnosis method of obstacle indicators can provide a basis for improving MSRS performance. Here,an evaluation index was built using the economic man attribute and social human attribute of famers,and the service process stage and service results stage based on farmers’perspectives.Based on entropy weight improved TOPSIS method and obstacle degree model, through the questionnaire survey of farmers in Hebei, Shandong, Anhui and Hubei provinces, the paper evaluated the performance level and obstacle factors of Mechanized Straw Returning service performance in four provinces.The results show that the performance level of Mechanized Straw Returning service in Shandong province is”excellent”, the performance level of Hebei province is”general”, and the performance level of Hubei province and Anhui province is “poor”.The most important factor affecting the service performance of Mechanized Straw Returning is the farmers'evaluation of MSRS results stage, followed by farmers’ evaluation of the MSRS process stage;The main factors affecting the service performance level of Mechanized Straw Returning are the social development after straw returning, the situation of farmland diseases and insect pests, the evaluation of subsidy policy for straw returning,and the entropy situation of cultivated land after straw returning.Therefore, in order to improve the overall level of Mechanized Straw Returning service, strengthening propaganda and popularization of MSRS, improving the Mechanized Straw Returning subsidies and other policies and measures,improving the supporting facilities and service supply after straw returning, should be the focus of the current policy.

Key words: mechanized straw returning, service performance, obstacle degree, TOPSIS Method

[1] 高洁芝, 郑华伟, 刘友兆. 基于熵权TOPSIS模型的土地利用多功能性诊断[J]. 长江流域资源与环境, 2018, 27(11): 2496-2504.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 李中强, 王双玲, 杨梅, 徐. 基于生态敏感性分析的湖泊保护与利用——以湖北省斧头湖为例[J]. 长江流域资源与环境, 2010, 19(06): 714 .
[2] 陈姗姗, 束炯, 徐建中. 中国若干典型城市对流层NO2时空分布特征[J]. 长江流域资源与环境, 2010, 19(12): 1484 .
[3] 赵登忠|林初学|谭德宝|陈永柏. 清江流域水布垭水库二氧化碳大气廓线空间分布及其水环境效应[J]. 长江流域资源与环境, 2011, 20(12): 1495 .
[4] 杨 乐|逯 非,王效科|段晓男|孙滨峰|欧阳志云. 三峡水库上空甲烷浓度时空变化及与水库甲烷通量的关系[J]. 长江流域资源与环境, 2012, 21(02): 209 .
[5] 殷淑燕|任利利, 黄春长. ENSO事件对汉江上游暴雨洪水影响的研究[J]. 长江流域资源与环境, 2013, 22(08): 1096 .
[6] 尹炜, 朱惇, 雷俊山, 贾海燕, 曾祉祥. 丹江口水库典型消落区不同土地利用类型土壤养分分布[J]. 长江流域资源与环境, 2015, 24(07): 1185 -1191 .
[7] 吴志杰, 何云玲. 基于SPEI的云南中部区域干旱时空变化特征分析[J]. 长江流域资源与环境, 2015, 24(07): 1238 -1245 .
[8] 黄宰胜, 陈钦. 不同情境下桉树碳汇林最佳轮伐期分析[J]. 长江流域资源与环境, 2016, 25(Z1): 25 -31 .
[9] 张玉柱, 黄春长, 庞奖励, 查小春, 周亚利, 石彬楠, 李晓刚. 基于HEC-RAS模型的汉江上游旬阳西段超长尺度古水文演化重建[J]. 长江流域资源与环境, 2017, 26(05): 755 -764 .
[10] 刘俸霞, 王艳君, 赵晶, 陈雪, 姜彤. 全球升温1.5℃与2.0℃情景下长江中下游地区极端降水的变化特征[J]. 长江流域资源与环境, 2017, 26(05): 778 -788 .