农业大数据学报 ›› 2023, Vol. 5 ›› Issue (4): 110-117.doi: 10.19788/j.issn.2096-6369.230414

• 农业农村社会经济数据:资源与方法 • 上一篇    下一篇

全国农产品成本收益资料汇编之三种粮食数据集

詹子森1(), 张晓恒2,*(), 陈波3   

  1. 1.南京信息工程大学自动化学院,南京 210044
    2.南京航空航天大学经济与管理学院,南京 211106
    3.南京财经大学经济学院,南京 210023
  • 收稿日期:2023-08-27 接受日期:2023-10-03 出版日期:2023-12-26 发布日期:2024-01-05
  • 通讯作者: 张晓恒,E-mail:xuyizxh@163.com。
  • 作者简介:詹子森,E-mail:2370676911@qq.com
  • 基金资助:
    国家自然科学基金(72003074);南京航空航天大学基本科研业务费(NS20233042)

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

ZHAN ZiSen1(), ZHANG XiaoHeng2,*(), CHEN Bo3   

  1. 1. School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China
    2. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
    3. College of Economics, Nanjing University of Finance and Economics, Nanjing 210023, China
  • Received:2023-08-27 Accepted:2023-10-03 Online:2023-12-26 Published:2024-01-05

摘要:

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。

数据摘要:

项目 描述
数据库(集)名称 全国农产品成本收益资料汇报数据集
所属学科 农业经济
研究主题 农业投入产出、农业生产力
数据时间范围 2005-2017年
数据地理空间覆盖 全国加权平均水平以及31个省市自治区(根据各地区作物种植结构可能有变化,具体内容见正文部分)。
数据类型与技术格式 .xlsx
数据库(集)组成 本数据库包含3种粮食6种产品,每个产品有三种类型数据,其中成本收益情况包含28个调查项目,费用和用工情况包含33个调查项目;化肥投入情况包含29个调查项目,具体项目见正文。所有内容均在1个.xlsx文件中。
数据量 0.7 MB
主要数据指标 产量,产值,成本,收益
数据可用性 CSTR: 17058.11.sciencedb.agriculture.00083
DOI: 10.57760/sciencedb.agriculture.00083
经费支持 国家自然科学基金(72003074)

关键词: 成本收益调查, 水稻, 小麦, 玉米

Abstract:

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.

Data summary:

Item Description
Dataset name A Dataset on the Compiled Materials of Costs and Profits of Agricultural Products of China
Specific subject area Agricultural economics
Research topic Agricultural inputs and outputs, productivity
Time range 2005—2017
Geographical scope National weighted average and 31 provinces, municipalities and autonomous regions (subject to change depending on the crop structure of each region, see text section for details).
Data types and technical formats .xlsx
Dataset structure This database contains 6 products for 3 grains, with three types of data for each product, including 28 survey items for the cost-benefit profile, 33 survey items for the cost and labor profile; and 29 survey items for the fertilizer input profile, as described in the main text. All in one excel file.
Volume of data 0.7 MB
Key index in dataset Yield, output, cost, revenue
Data accessibility CSTR: 17058.11.sciencedb.agriculture.00083
DOI: 10.57760/sciencedb.agriculture.00083
Financial support National Natural Science Foundation of China(72003074)

Key words: costs and profits survey, rice, wheat, corn