氣象數(shù)據(jù)定價方法研究進展

doi:10.12306/2025jms.0010

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氣象數(shù)據(jù)定價方法研究進展
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                        10.12306/2025jms.0010
                    
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中圖分類號:P49;F326.11
基金項目:中國氣象局軟科學(xué)項目(CMSA2024RB001)

Research on pricing methods for meteorological data

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氣象數(shù)據(jù)能夠為農(nóng)業(yè)、能源、交通等多個行業(yè)提供決策支持和風(fēng)險管理服務(wù),數(shù)據(jù)定價的研究及應(yīng)用需求旺盛。通過文獻(xiàn)綜述數(shù)據(jù)定價的理論基礎(chǔ),從氣象數(shù)據(jù)的質(zhì)量、效用和風(fēng)險等維度分析了氣象數(shù)據(jù)價值特征,并闡述了其在氣象數(shù)據(jù)定價研究中的作用,基于成本法、收益法、市場法和差異法給出了氣象數(shù)據(jù)定價模型和定價策略,并通過應(yīng)用示例分析驗證各模型的優(yōu)缺點和適用性,并提出了基于機器學(xué)習(xí)可解釋方法確定氣象要素貢獻(xiàn)度的定價策略。研究表明,氣象數(shù)據(jù)的定價應(yīng)綜合考慮其獲取成本、行業(yè)應(yīng)用收益以及市場需求等因素,結(jié)合不同場景和用戶需求,靈活采用合適的定價方法。本研究為氣象數(shù)據(jù)市場定價提供了可行的方法思路,有助于促進氣象數(shù)據(jù)市場的可持續(xù)發(fā)展。

Abstract:

Meteorological data can provide decision support and risk management services for multiple industries such as agriculture, energy, and transportation, and there is a strong demand for research and application of data pricing. By reviewing the theoretical basis of data pricing through literature reviews, this paper analyzes the value characteristics of meteorological data from the dimensions of quality, utility, and risk, and elaborates on its role in meteorological data pricing research. Based on cost method, revenue method, market methodand differential pricing method,meteorological data pricing models and differentiated pricing strategies are proposed.Through application examples, the advantages, disadvantages, and applicability of each methods are analyzed and verified.Additionally, a pricing strategy using interpretable machine learning methods to determine the contribution of meteorological elements is proposed. Research has shown that the pricing of meteorological data should comprehensively consider factors such as its acquisition cost, industry application benefits, and market demand, and flexibly adopt appropriate pricing methods based on different scenarios and user needs. This study provides feasible methods and ideas for pricing in the meteorological data market, which helps promote the sustainable development of the meteorological data market.

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鄭奕揚,王慕華,宗鵬程.氣象數(shù)據(jù)定價方法研究進展.氣象科學(xué),2025,45(2):293-298 ZHENG Yiyang, WANG Muhua, ZONG Pengcheng. Research on pricing methods for meteorological data. Journal of the Meteorological Sciences,2025,45(2):293-298

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收稿日期:2024-11-21
最后修改日期:2025-01-15
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在線發(fā)布日期: 2025-07-03
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