2017-2021年国内金融市场变化对农产品价格横向传导机制分析数据集

农产品价格波动传导机制是备受关注的研究议题。农产品价格影响因素逐渐呈现多元化、复杂化，包括金融市场影响在内的非传统因素逐渐凸显，因此采集金融市场对农产品价格横向传导数据，揭示其传导机制，具有十分重要的价值。在本研究中农产品价格横向传导机制分析数据集包含原始数据集和预处理数据集，数据通过公开途径获取，均包括农产品价格以及国内总需求、货币市场、股票市场、房地产市场四类国内金融市场数据，数据为月度数据，时间范围为2017年1月至2021年2月，共计50个月。数据集构建包括数据集变量确定、数据权威来源确定与收集、数据预处理三个步骤。本数据集共享，可为国内金融市场对农产品价格横向传导机制的研究提供数据支持，同时可为相关企业决策和政府宏观调整提供数据支撑。

The transmission mechanism of agricultural product price fluctuations is a research topic that has attracted widespread attention. The factors affecting agricultural product prices have become increasingly diversified and complex, with non-traditional factors including the impact of financial markets gradually becoming prominent. Therefore, collecting data on the horizontal transmission of financial markets' impact on agricultural product prices to reveal their transmission mechanism has extremely important research value. The analysis dataset for the horizontal transmission mechanism of agricultural product prices in this study includes both the raw dataset and the preprocessed dataset. The data, obtained through public channels, covers agricultural product prices and four categories of domestic financial market data, namely domestic aggregate demand, money market, stock market, and real estate market data. The data is of monthly frequency, spanning the period from January 2017 to February 2021, totaling 50 months. The construction of this dataset involves three steps: determining the dataset variables, identifying and collecting authoritative data sources, and conducting data preprocessing. This dataset is publicly shared, providing data support for research on the horizontal transmission mechanism of domestic financial markets' impact on agricultural product prices, as well as for the decision-making of relevant enterprises and macroeconomic adjustment by the government.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于2017年至2021年国内金融市场变化对农产品价格的横向传导机制分析，包含农产品价格及四类金融市场（国内总需求、货币市场、股票市场、房地产市场）的月度数据，时间跨度为50个月。数据集通过公开途径获取，包括原始和预处理版本，旨在支持传导机制研究，并为企业和政府决策提供数据支撑。