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作 者:杨念[1] 王蔚宇[2] Yang Nian;Wang Weiyu(School of Big Data Science,Hebei Finance University;Organization Department of Party Committee,Hebei Agricultural University,Baoding Hebei 071000,China)
机构地区:[1]河北金融学院大数据科学学院,河北保定071000 [2]河北农业大学党委组织部,河北保定071000
出 处:《统计与决策》2022年第19期26-30,共5页Statistics & Decision
基 金:国家重点研发计划项目(2018YFD0300507);河北金融学院科研基金育苗专项(JY202017);北京新农村建设研究基地开放课题(kf2020083)。
摘 要:文章选取2000—2019年我国农业发展相关数据,通过构建涵盖农业发展、环境条件、资源条件与经济条件四大子系统的农业高质量发展评价指标体系,结合障碍度、耦合度与耦合协调度模型,实证测度我国农业高质量发展情况。研究得出:2000—2019年,农业高质量发展指数整体呈现波动趋势;在2000年、2004年大关键节点下,农业发展、资源条件、经济条件指数呈上升趋势,环境条件指数呈下降趋势。从障碍度分析来看,环境和资源条件的障碍度较高,经济条件的最小,农业发展的适中;从耦合度与耦合协调度角度来看,农业发展、环境条件、资源条件与经济条件与农业高质量发展之间呈极度耦合,四大子系统之间均呈现高度耦合关系。Based on data related to agricultural development in China from 2000 to 2019, this paper constructs an evaluation index system for high-quality agricultural development in four sub-systems, which covers agricultural development, environment, resources and economic conditions, and then combines obstacle degree, coupling degree and coupling coordination degree model to measure the high-quality agricultural development in China empirically. The conclusion from the research goes as below: From 2000 to 2019, the overall agricultural high-quality development index showed a fluctuating trend. Under the big key points of 2000 and 2004, the indexes of agricultural development, resource conditions and economic conditions presented an upward trend, while the indexes of environmental conditions showed a downward trend. From the perspective of obstacle degree analysis, environmental and resource conditions have higher obstacle degree, the economic conditions the least, and agricultural development moderate. From the perspective of coupling degree and coupling coordination degree, agricultural development, environmental conditions, resource conditions, economic conditions and agricultural high-quality development are extremely coupled, and the four subsystems are highly coupled.
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