新疆棉农低碳生产行为及其影响因素分析——以化肥施用为例
发布时间：2018-08-30 16:47
【摘要】：[目的]农业活动释放大量温室气体,已成为全球气候变化的重要贡献者。研究旨在探讨棉农农业低碳生产行为与其影响因素之间的关系,从农户层面上寻找降低碳排放的有效途径,为新疆低碳农业发展提供参考。[方法]利用在新疆棉花种植区的调研数据,以化肥施用为例,采用Binary Logisitic模型,对新疆棉农低碳生产行为进行分析,对其影响因素进行实证检验。[结果]农户年龄、种植规模、受教育程度、生产中考虑对环境的影响及污染治理对农业生产重要等均对棉农化肥施用量有显著影响,其中,农户年龄与受教育程度是负向影响。[结论]基于研究,提出政府要加强绿色种植及低碳生产理念的宣传以提高棉农低碳种植知识及技术认知,分年龄段对棉农制定有针对性的培训、教育、激励策略以引导其理性选择低碳生产行为,以及构建技术创新农户示范平台以加强棉农之间的交流、推进农业低碳技术指导与推广等对策建议。
[Abstract]:Objective: agricultural activities have become an important contributor to global climate change by releasing large amounts of greenhouse gases. The purpose of this study is to explore the relationship between low carbon production behavior of cotton farmers and its influencing factors, to find effective ways to reduce carbon emissions from the level of farmers, and to provide a reference for the development of low carbon agriculture in Xinjiang. [methods] based on the investigation data of cotton growing area in Xinjiang, the Binary Logisitic model was used to analyze the low carbon production behavior of cotton farmers in Xinjiang, and the influencing factors were tested. [results] the age of farmers, planting scale, education level, environmental impact and pollution control had significant effects on the amount of chemical fertilizer applied to cotton farmers. The age of peasant household and education level are negative influence. [conclusion] based on the research, the government should strengthen the propaganda of the concept of green planting and low-carbon production in order to improve cotton farmers' knowledge and technical cognition of low carbon planting, and develop targeted training and education for cotton farmers at different ages. In order to guide its rational choice of low-carbon production behavior and build a demonstration platform for technical innovation farmers to strengthen the communication between cotton farmers and promote the agricultural low-carbon technology guidance and promotion and other countermeasures and suggestions.
【作者单位】： 新疆农业大学科学技术学院;新疆农业大学图书馆;新疆农业大学管理学院;
【基金】：新疆维吾尔自治区科协项目“农业生态安全视角下新疆棉农生产行为的面源污染效应及调控机制研究”(xjkx-14-044)
【分类号】：F327
[Abstract]:Objective: agricultural activities have become an important contributor to global climate change by releasing large amounts of greenhouse gases. The purpose of this study is to explore the relationship between low carbon production behavior of cotton farmers and its influencing factors, to find effective ways to reduce carbon emissions from the level of farmers, and to provide a reference for the development of low carbon agriculture in Xinjiang. [methods] based on the investigation data of cotton growing area in Xinjiang, the Binary Logisitic model was used to analyze the low carbon production behavior of cotton farmers in Xinjiang, and the influencing factors were tested. [results] the age of farmers, planting scale, education level, environmental impact and pollution control had significant effects on the amount of chemical fertilizer applied to cotton farmers. The age of peasant household and education level are negative influence. [conclusion] based on the research, the government should strengthen the propaganda of the concept of green planting and low-carbon production in order to improve cotton farmers' knowledge and technical cognition of low carbon planting, and develop targeted training and education for cotton farmers at different ages. In order to guide its rational choice of low-carbon production behavior and build a demonstration platform for technical innovation farmers to strengthen the communication between cotton farmers and promote the agricultural low-carbon technology guidance and promotion and other countermeasures and suggestions.
【作者单位】： 新疆农业大学科学技术学院;新疆农业大学图书馆;新疆农业大学管理学院;
【基金】：新疆维吾尔自治区科协项目“农业生态安全视角下新疆棉农生产行为的面源污染效应及调控机制研究”(xjkx-14-044)
【分类号】：F327
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