Journal of Agricultural Big Data ›› 2023, Vol. 5 ›› Issue (4): 110-117.doi: 10.19788/j.issn.2096-6369.230414

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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

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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

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