基于欧氏距离法的农业可持续发展评价——以贵州省铜仁市为例
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摘要
为综合评价贵州省铜仁市农业可持续发展水平,本研究建立了包括3大类别共16个指标在内的评价指标体系,设定了由各指标最优值构成的目标系统,并围绕评价指标体系收集整理了2014年铜仁市10县区的相关统计数据。基于欧氏距离法计算出各县区的农业可持续发展指数(ASDI),同时也基于16个评价指标计算了各县的协调度(MHC)。研究结果表明,本区域的人均粮食和人均耕地较高,而P肥施用与农业环保生产技术措施推广率较低,区域ASDI值介于0. 600～0.651之间,处于中低可持续发展水平。10县区中以石阡、思南、碧江3县的ASDI值最高,江口、玉屏县居中,印江、沿河、万山、德江、松桃5县相对较低。各县的MHC值与ASDI值之间达到了极显著相关水平,表明均衡发展水平是农业可持续发展的重要属性。本文提出了包括优先保护生态环境、发展山地高效农业、培育优势特色产业和推动现代农业发展等方面的政策建议。
In order to evaluate the regional sustainable development in agriculture in Tongren,Guizhou province,an evaluation index system containing 3 subsystems was established in the study. Goal system was set which is comprised of the goal or best value for each evaluation index. Corresponding statistical data were collected for 10 counties in Tongren in 2014. Euclidean distance theory was applied to calculate the Agricultural Sustainable Development Index( ASDI). Based on 16 evaluation indicators,Modified Harmony coefficients( MHC) were also calculated for each county. As to indicators of grain per capita,and arable land resources per capita,the evaluation values were higher. However,for indicators of application amount of chemical phosphorus fertilizer and application area of environmental-friendly agricultural techniques,the evaluation values were moderately lower. The results show that the ASDI values lie between 0.600 and 0.651,defined as lower middle sustainability. Among the10 counties,Shiqian,Sinan and Bijiang occupy the group of relative higher sustainability. Yinjiang,Yanhe,Wanshan,Dejiang,Songtao belong to group of relative lower sustainability. Jiangko and Yuping locate between them. There is significant correlation relationship exiting between ASDI and MHC for the 10 counties,which indicates that balanced development coincides with sustainable development intrinsically. Policy suggestions were provided for the region including the following aspects: setting ecological protection as priority of local government agenda; developing high-efficiency agriculture of mountainous region; fostering industry of distinguished features and comparatively advantages; promoting development of modern agriculture.
In order to evaluate the regional sustainable development in agriculture in Tongren,Guizhou province,an evaluation index system containing 3 subsystems was established in the study. Goal system was set which is comprised of the goal or best value for each evaluation index. Corresponding statistical data were collected for 10 counties in Tongren in 2014. Euclidean distance theory was applied to calculate the Agricultural Sustainable Development Index( ASDI). Based on 16 evaluation indicators,Modified Harmony coefficients( MHC) were also calculated for each county. As to indicators of grain per capita,and arable land resources per capita,the evaluation values were higher. However,for indicators of application amount of chemical phosphorus fertilizer and application area of environmental-friendly agricultural techniques,the evaluation values were moderately lower. The results show that the ASDI values lie between 0.600 and 0.651,defined as lower middle sustainability. Among the10 counties,Shiqian,Sinan and Bijiang occupy the group of relative higher sustainability. Yinjiang,Yanhe,Wanshan,Dejiang,Songtao belong to group of relative lower sustainability. Jiangko and Yuping locate between them. There is significant correlation relationship exiting between ASDI and MHC for the 10 counties,which indicates that balanced development coincides with sustainable development intrinsically. Policy suggestions were provided for the region including the following aspects: setting ecological protection as priority of local government agenda; developing high-efficiency agriculture of mountainous region; fostering industry of distinguished features and comparatively advantages; promoting development of modern agriculture.
引文
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[13]杨世琦,高旺盛.农业生态系统协调度测度理论与实证研究[J].中国农业大学学报,2016,11(2):7-12.
[14]王先华,方小宁,谭李文.铜仁市农业生态环境的脆弱性及可持续发展[J].河北农业科学,2008,12(3):106-107,112.
[15]顾明.农业生产与自然资源的可持续利用[J].贵州大学学报(社会科学版),2004,22(5):98-102.
[16]李长健,徐丽峰.完善农村土地流转实现农业可持续发展[J].贵州大学学报(社会科学版),2010,28(6):20-23.
[2]严立冬,邓远建,屈志光.农业生态经济学[M].武汉:武汉大学出版社,2015:23,57.
[3]斯科特H.哈金斯,张辉.技术在农业可持续发展中的作用[J].世界农业,2017,12:202-203.
[4]Bolcarova P,Kolosta S. Assessment of sustainable development in the EU 27 using aggregated SD index[J]. Ecological Indicators,2015,48:699-705.
[5]Shen L X,Muduli K,Barve Akhilesh. Developing a sustainable development framework in the context on mining industries:AHP approach[J]. Resources Policy,2015,46:15-26.
[6]魏志敏,顾明.农业生产系统可持续发展定量评价研究———以邯郸农业生产发展为例[J].贵州工业大学学报(社会科学版),2005,7(4):22-24.
[7]Cornelissen A M G,van den Berg J,Koops W J,et al. Assessment of the contribution of sustainability indicators to sustainable development:a novel approach using fuzzy set theory[J]. Agriculture,Ecosystem and Environment,2001,86:173-185.
[8]孟天醒,文倩,范慧平.基于BP神经网络的河南省可持续发展能力评价[J].湖北农业科学,2016,55(5):1333-1335,1342.
[9]徐榕阳,马琼.基于熵值法的新疆农业可持续发展能力动态评价[J].农村经济与科技,2016,27(23):163-165.
[10]Zhou S D,Mueller F,Burkhard B,et al. Assessing agricultural sustainable development based on the DPSIR approach:Case study in Jiangsu,China[J]. Journal of Integrative Agriculture,2013,12(7):1292-1299.
[11]Yang S Q,Mei X R. A sustainable agricultural development assessment method and a case study in China based on euclidean distance theory[J]. Journal of Cleaner Production,2017,168:551-557.
[12]杨世琦.基于欧氏距离的农业可持续发展评价理论构建与实例验证[J].生态学报,2017,37(11):3840-3848.
[13]杨世琦,高旺盛.农业生态系统协调度测度理论与实证研究[J].中国农业大学学报,2016,11(2):7-12.
[14]王先华,方小宁,谭李文.铜仁市农业生态环境的脆弱性及可持续发展[J].河北农业科学,2008,12(3):106-107,112.
[15]顾明.农业生产与自然资源的可持续利用[J].贵州大学学报(社会科学版),2004,22(5):98-102.
[16]李长健,徐丽峰.完善农村土地流转实现农业可持续发展[J].贵州大学学报(社会科学版),2010,28(6):20-23.
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