全国农产品成本收益资料汇编之三种粮食数据集

A Dataset on the Compiled Materials of Costs and Profits of Rice,Wheat and Corn Products of China

产业兴旺是乡村振兴的重中之重。农产品成本收益调查记录了农产品投入、产出、收益等情况,是政府部门进行宏观调控和价格管理的基础。新时代新征程,这套数据将在推进乡村振兴战略过程中发挥更大作用。很多学者基于该套数据分析我国农业投入要素使用、生产力、成本、利润等状况,但对数据库样本选择、采集过程、相关指标内涵等细节介绍有待加强。因此,本文收集了早籼稻、中籼稻、晚籼稻、粳稻、小麦和玉米等三种粮食2005-2017年31个地区的成本收益调查数据,形成数据集。本文重点对数据产生的背景、数据采集的方法、数据的主要内容以及数据的使用价值进行介绍。相关学者不仅可以使用该数据分析我国农产品的投入产出状况,也可以借鉴该数据的抽样方法、质量控制经验等。

General Secretary Xi Jinping has pointed out that"the prosperity of industries is of paramount importance for rural revitalization."The Cost-Benefit Survey of Agricultural Products records information on inputs,outputs,and returns related to agricultural products,serving as the foundation for macroeconomic regulation and price management by government departments.In the new era and on the new journey,this dataset will play an even greater role in advancing the rural revitalization strategy.A large number of literature analyze the situation of China’s agricultural input factor use,productivity,cost and profit based on this dataset,but the introduction of details such as the sample selection of the dataset,the collection process,and the connotation of the relevant indicators needs to be enhanced.Therefore,this paper primarily compiles cost-benefit survey data for three types of grains,including early-season rice,mid-season rice,late-season rice,japonica rice,wheat,and maize,from 2005 to 2017 in 31 regions,forming a comprehensive dataset.This paper provides an introduction to the background,data collection methods,primary content of the data,and its implications and values.The data is collected by using a stratified random sampling procedure to improve the representativeness.The cost and profit data of rice farms contains the farm size,yield,output value,pesticide cost,fertilizer quantity and cost,seed quantity and cost,irrigation cost,labor quantity and cost,and land cost on per unit area.Relevant scholars can not only use the data to analyze the input-output situation of China's agricultural products,but also draw on the sampling method and quality control experience of the data.