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The discrimination of adopters and non-adopters of conservation agricultural initiatives in northwest Iran: Attitudinal, soil testing, and topographical modules

机译:伊朗西北部保护农业举措的采用者和非采用者的歧视:态度,土壤检测和地形模块

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摘要

Over the past decades, agro-ecological measures, such as conservation agricultural initiatives (CAIs) have been widely implemented in developing countries, in like manner with Tabriz city as would be a leading case situated in northwest Iran. In light of linear discriminant analysis (LDA), this cross-sectional research calls on a knowledge gap respecting the differentiation of farmers who become involved in CAIs (adopters) from those not involved (non-adopters), as three data modules, including attitudinal, soil testing, and topographical data, were used. The study takes advantage of a sample of 382 respondents, stratified as regards the geographical location of their farms. Using theory-triangulation, the theoretical foundation enfolds demographic theory, the theory of planned behavior, innovation diffusion model, and resource-based model. The results of hierarchical LDA provide evidence that the hypothesized model is entitled to be fitted with data and accordingly three variables including (1) observability, (2) farm revenue, and (3) compatibility ascertain adopter farmers from non-adopter ones. Furthermore, it was revealed that the soil dynamic quality features, such as electrical conductivity, EC, (dSm(-1)) (Mann-Whitney U = 353, P < 0.05) and organic carbon content, OC (%), (Mann-Whitney U = 935.5, P < 0.05) were significantly different between the two groups of farms, while carbonate calcium equivalent, CCE (%) (Mann-Whitney U = 935.5, P > 0.05) showed no significant differences. Likewise, the topographical data analyzed in ArcGIS software make manifest that CAIs farms have more steady topographic features rather nonCAI farms and are also situated in the regions with a gradient of less than 5%. In conclusion, the paper delivers management implications for the agricultural extension and authorities of the agricultural research centers who tend to promote CAIs in on-site and off-site farmlands.
机译:在过去的几十年中,发展中国家的农业生态措施(如保护农业倡议(CAI))在发展中国家被广泛实施,以与Tabriz City的方式,这是位于伊朗西北部的领先案例。鉴于线性判别分析(LDA),这种横断面研究呼吁对涉及涉及的农民(非采用者)的农民差异的知识差距(非采用者),包括三个数据模块,包括态度使用土壤测试和地形数据。该研究利用了382名受访者的样本,如他们农场的地理位置。利用理论 - 三角测量,理论基础涵盖人口统计学理论,计划行为,创新扩散模型和基于资源的模型。分层LDA的结果提供了证据表明假设模型有权适用于数据和相应的三个变量,包括(1)可观察性,(2)农业收入,(3)兼容性来自非采用者的采用农民。此外,揭示了土壤动态质量特征,如导电性,EC,(DSM(-1))(Mann-Whitney U = 353,P <0.05)和有机碳含量,OC(%),(曼-Whitney u = 935.5,P <0.05)两组农场之间的显着差异,而碳酸钙等同物,CCE(%)(Mann-Whitney U = 935.5,P> 0.05)显示出没有显着差异。同样,ArcGIS软件中分析的地形数据表明CAIS农场具有更稳定的地形特征,而不是Nongai Farms,并且也位于梯度小于5%的地区。总之,本文为农业研究中心的农业延期和当局提供了管理影响,这些中心倾向于在现场和场外农田中促进CAIS。

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