夏自兰, 王继军, 姚文秀, 吕明权. 水土保持背景下黄土丘陵区农业产业-资源系统耦合关系研究—— 基于农户行为的视角[J]. 中国生态农业学报(中英文), 2012, 20(3): 369-377. DOI: 10.3724/SP.J.1011.2012.00369
引用本文: 夏自兰, 王继军, 姚文秀, 吕明权. 水土保持背景下黄土丘陵区农业产业-资源系统耦合关系研究—— 基于农户行为的视角[J]. 中国生态农业学报(中英文), 2012, 20(3): 369-377. DOI: 10.3724/SP.J.1011.2012.00369
XIA Zi-Lan, WANG Ji-Jun, YAO Wen-Xiu, LVY Ming-Quan. Coupling relationship between agricultural industry and resources in the loess hilly region on the background of conservation of water and soil— Based on the perspective of farmers-behavior[J]. Chinese Journal of Eco-Agriculture, 2012, 20(3): 369-377. DOI: 10.3724/SP.J.1011.2012.00369
Citation: XIA Zi-Lan, WANG Ji-Jun, YAO Wen-Xiu, LVY Ming-Quan. Coupling relationship between agricultural industry and resources in the loess hilly region on the background of conservation of water and soil— Based on the perspective of farmers-behavior[J]. Chinese Journal of Eco-Agriculture, 2012, 20(3): 369-377. DOI: 10.3724/SP.J.1011.2012.00369

水土保持背景下黄土丘陵区农业产业-资源系统耦合关系研究—— 基于农户行为的视角

Coupling relationship between agricultural industry and resources in the loess hilly region on the background of conservation of water and soil— Based on the perspective of farmers-behavior

  • 摘要: 为明确黄土丘陵区水土保持政策对农业产业、农业资源之间的互动关系及作用路径的影响, 选择典型代表县域陕西省吴起县, 基于农户行为的视角构建了农业产业-资源系统耦合关系结构方程模型。首先设定水土保持政策、农户行为、农业资源环境、农业产业发展、耦合状态的5个潜变量及其所对应的观测变量, 根据对研究区农业产业-资源系统耦合关系的感性认识, 提出了9个假设, 在此基础上设计农业产业-资源系统耦合关系模型, 检验结果表明, 建立的模型能有效地揭示研究区水土保持背景下农业产业-资源系统耦合关系。模型运行结果表明: 水土保持政策显著改善了区域农业资源环境条件(路径系数为0.62), 政策与其生态目标相吻合, 但对农户资源利用及产业经营的正向行为产生了抑制作用(路径系数为-0.22), 政策与农户行为间存在着激励不相容。在系统耦合过程中, 农户行为不仅直接影响系统耦合状态(路径系数为0.42), 同时通过促进农业产业发展而间接影响耦合状态(间接路径系数为0.61×0.35=0.21), 农户生产决策行为构成系统耦合关系中重要的中介, 成为影响系统耦合的关键; 由于政策对资源利用的强制规定以及对农户行为的抑制作用, 农业资源环境对农业产业发展未起到支撑作用(路径系数为-0.24), 二者之间存在局部相悖。基于以上结果, 在黄土丘陵区区域发展中应充分利用现有资源环境条件, 实现农业产业与资源的优化耦合。

     

    Abstract: The present structure and coupling situation of agricultural system in the loess hilly region was formed under the influence of soil and water conservation policy. Agricultural ecological economic system may develop to a certain direction and form a new coupling situation through regulating the present coupling relationship between agricultural industry and resources. It had a practical significance to comprehensively clarify and assess the coupling interactions of the two important factors of the agricultural economic system. Due to multi-external policies and human interventions that acted on the agricultural ecological economic system, the indexes characterizing policy and farmers’ decision and behavior in the system were not directly observable (latent variables). Traditional models (e.g., coupled dynamic systems model, coupled degree model, gray system analysis, etc.) either ignored or partially treated these indexes. The complex interactions and feedbacks among the system indexes were not adequately explained by these models. This paper employed the structure equation model to explore the interactive relationships and functional paths across agricultural industry and resources under the influence of soil/water conservation policies in the loess hilly region, with a proxy farmer-survey from Wuqi County, Shaanxi Province, as the data resource. First, soil/water conservation policy, farmer behavior, agricultural resource and environment, agricultural industry development and coupling situation of agriculture system were set as 5 latent variables. And the correspondingly measurable indexes were selected. Then, 9 hypotheses about coupling relationship between agricultural industry and resources of the studied area were advanced. On this base, the model of agricultural industry-resources system coupling relationship was established. Fit test of the model showed desired effects. The model results showed that soil/water conservation policies improved regional agricultural resources conditions (with path coefficient of 0.62). This suggested that the policies were consistent with ecological targets. However, the policies inhibited positive farmer behavior in terms of resource utilization and industry management (with path coefficient of -0.22). This implied that the policies were some sort of disincentive and incompatible with farmer activity. Farmer behavior not only affected the state of system coupling directly (with path coefficient of 0.42), but also indirectly through promoting agro-industry development (with indirect path coefficient of 0.61×0.35 = 0.21). This also suggested that farmers’ production and decision-making behavior was a critical factor in the coupling of the system. Because of the policy mandatory provisions for resources utilization and inhabitation of farmer behavior, the regional agricultural resources environment was not supportive of agro-industry development (with path coefficient of -0.24). That is to say it induced a detestable local situation between agro-industry development and agro-resources environment. To optimize agro-industry and resources coupling of the loess hilly region, a full utilization of the present resources environment was recommended.

     

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