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景气指数理论、方法及应用研究进展OA

Research progress on prosperity index theory,methodology,and applications

中文摘要英文摘要

为评述景气指数相关研究进展,利用文献综述方法,以"理论基础→编制方法→应用领域"为逻辑主线,在归纳景气指数研究历程的基础上,梳理景气指数研究成果及态势.结果表明:1)景气指数具有经济与统计特性,涉及经济周期、统计监测和行为经济学理论,含前瞻性、综合性和直观性3个重要特征,有经济现状测度、趋势预测、预警提示、政策评估和微观决策指导五大核心功能,可遵循覆盖范围、编制逻辑、数据来源、技术应用原则形成层次清晰、逻辑严谨的多维分类体系;2)景气指数编制方法关键在于识别和筛选经济周期中的先行、同步和滞后指标,经数据标准化、权重赋值、统计合成和验证修正,整合为表征特定领域运行状态与发展趋势的综合景气指数,可捕捉周期拐点、预判发展态势,为决策提供数据支撑;3)景气指数编制方法常指合成指数法、扩散指数法、预警指数法、调查指数法和机器学习法,呈现出从线性方法向非线性方法拓展、从单一数据向多源数据融合转型、从人工筛选向智能算法升级的方法演进趋势;4)景气指数在产业经济监测、区域协同发展、跨行资源配置和政策效果评估等重点领域的实践效果显著、作用明显,各类方法独有适用场景及优势与局限,多元方法互补适配不同监测需求,提升了景气分析的科学性与实用性.综上,本研究将有助于促进景气指数在农林经济领域的应用实践.

To review the research progress related to the prosperity index,a literature review methodology was adopted.Following the logical thread of"theoretical foundation → compilation methodology → application fields",this study systematically reviews the research evolution of the prosperity index,scholarly achievements and developing trends in this field based on a synthesis of the research trajectory of the prosperity index.The study results showed that:1)The prosperity index possesses both economic and statistical attributes,involving the theories of economic cycles,statistical monitoring and behavioral economics.It has three important characteristics including forward-looking,comprehensiveness and intuitiveness,and performs five core functions including economic status measurement,trend prediction,early warning,policy evaluation and micro-decision guidance.A multi-dimensional classification system with clear hierarchy and rigorous logic can be constructed in accordance with the principles of coverage scope,compilation logic,data sources and technical application.2)The key to the compilation methodology of the prosperity index lies in identifying and screening leading,coincident and lagging indicators in economic cycles.Through data standardization,weight assignment,statistical synthesis,and verification and revision,these indicators are integrated into a comprehensive prosperity index that characterizes the operation status and development trend of specific fields.This index can capture cyclical inflection points,predict development trends,and provide data support for decision-making.3)The compilation methodologies of prosperity indices mainly include the composite index method,diffusion index method,early-warning index method,survey index method and machine learning method,showing an evolutionary trend of expanding from linear methods to nonlinear methods,from single-source data to multi-source data fusion,and from manual screening to intelligent algorithms.4)The prosperity index has demonstrated significant practical effectiveness and played a substantial role in key fields such as industrial economic monitoring,regional coordinated development,cross-industry resource allocation and policy effect evaluation.Each type of method has its own applicable scenarios,advantages and limitations,and the complementary application of multiple methods to meet different monitoring needs has enhanced the scientificity and practicality of prosperity analysis.In conclusion,this study is expected to facilitate the practical application of the prosperity index in the field of agricultural and forestry economics.

李剑泉;罗雲;夏硕硕

中国林业科学研究院林业科技信息研究所,北京 100091中国林业科学研究院林业科技信息研究所,北京 100091中国林业科学研究院林业科技信息研究所,北京 100091

管理科学

景气指数经济监测理论体系编制方法应用场景研究进展前沿趋势

prosperity indexeconomic monitoringtheoretical systemcompilation methodapplication scenariosresearch progresscutting-edge trends

《中国农业大学学报》 2026 (6)

233-244,12

中央级公益性科研院所基本科研业务费专项资金项目(CAFYBB2023MC003)

10.11841/j.issn.1007-4333.2026.06.19

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