农业大数据学报 ›› 2023, Vol. 5 ›› Issue (3): 26-31.doi: 10.19788/j.issn.2096-6369.230305

• 农业农村社会经济数据:资源与方法 • 上一篇    下一篇

2013-2016年我国17省176家粮食加工企业成本收益调查统计数据集

王录安1(), 张利庠2, 张晶3,*()   

  1. 1.山西财经大学经济学院 太原 030006
    2.中国人民大学农业与农村发展学院 北京 100872
    3.中国农业科学院农业信息研究所 北京 100081
  • 收稿日期:2023-07-21 接受日期:2023-08-31 出版日期:2023-09-26 发布日期:2023-11-14
  • 通讯作者: 张晶,E-mail:zhangjing05@caas.cn
  • 作者简介:王录安,Email: wangluan1987@163.com
  • 基金资助:
    国家社会科学基金项目“东北地区‘旱改水’机理和农业支持政策创新研究”(17CJY033);农业农村部项目“提高粮食国际供应链韧性研究”(B020101);大数据分析社会网络和社会流动性对农民工收入水平影响的研究(K672001);区域经济发展不平衡背景下的性别工资差距缩小机制研究(Z27021)

Cost Benefit Survey Statistical Dataset of China's Grain Processing Enterprises from 2013 to 2016

WANG LuAn1(), ZHANG LiXiang2, ZHANG Jing3,*()   

  1. 1. School of Economics, Shanxi University of Finance and Economics, Taiyuan 030012, China
    2. School of Agriculture and Rural Development, Renmin University of China, Beijing 100872, China
    3. Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Received:2023-07-21 Accepted:2023-08-31 Online:2023-09-26 Published:2023-11-14

摘要:

粮食安全是治国理政头等大事。粮食加工企业是保证粮食安全的重要一环,是农业供给侧结构性改革的微观基础,更是实现农业现代化的重要组成部分。课题组走访了全国17个省份不同规模的176家粮食加工企业,收集了2013—2016年企业生产经营的详细数据,并根据科学方法对数据进行了整理加工,得到反映粮食加工企业生产经营状况的财务成本、劳动力成本、日处理能力、日加工能力等数据,共计704条,形成了2013—2016年我国粮食加工企业成本收益数据集。该数据集为粮食生产能力研究提供了可能,可用于开展粮食加工企业成本收益研究,为政府及相关部门决策提供数据支撑。

数据摘要:

项目 描述
数据库(集)名称 2013-2016年我国粮食加工企业成本收益数据集
所属学科 农业经济
研究主题 粮食加工企业成本收益
数据时间范围 2013—2016年
数据地理空间覆盖 江苏省、江西省、浙江省、广东省、广西壮族自治区、河北省、山东省、湖北省、湖南省、河南省、内蒙古自治区、陕西省、山西省、黑龙江省、吉林省、辽宁省、四川省等17省(自治区)
数据类型与技术格式 *.xlsx
数据库(集)组成 本数据共包含6个数据文件,分别是:大型大米加工企业成本收益数据汇总,中型大米加工企业成本收益数据汇总,小型大米加工企业成本收益数据汇总,大型面粉加工企业成本收益数据汇总,中型面粉加工企业成本收益数据汇总,小型面粉加工企业成本收益数据汇总
数据量 444 KB
主要数据指标 企业性质、企业规模、开工率、日处理能力、农户和经纪人、粮食贸易企业、国库、原料成本、人工成本、用电费用、财务费用、主产品收入、副产品收入、净利润
数据可用性 CSTR:17058.11.A0007.20231023.00.ds.3746
DOI:10.12205/A0007.20231023.00.ds.3746
经费支持 国家社会科学基金项目“东北地区‘玉米改为水稻’机理和农业支持政策创新研究”(编号:17CJY033);农业农村部项目“提高粮食国际供应链韧性研究”(编号:B020101);大数据分析社会网络和社会流动性对农民工收入水平影响的研究(编号:K672001);区域经济发展不平衡背景下的性别工资差距缩小机制研究(编号:Z27021)

关键词: 粮食加工企业, 收储制度, 成本收益, 粮食安全

Abstract:

Food security is a top priority for a country. Grain processing enterprises are an important part of ensuring food security, the micro-foundation of structural reform on the agricultural supply side, and an important component of achieving agricultural modernization. The research group visited 176 grain processing enterprises of different scales in 17 provinces of China, collected detailed data on the production and operation of enterprises from 2013 to 2016, and processed the data using scientific methods to obtain 704 pieces of data reflecting the production and operation status of grain processing enterprises, including financial costs, labor costs, daily processing capacity, and daily processing capacity. All the data formed a cost-benefit dataset for grain processing enterprises in China from 2013 to 2016. The dataset provides the possibility for research on grain processing capacity, assists in conducting research on the cost-benefit of grain processing enterprises, and supports decision-making by the government and relevant departments.

Data summary:

Item Description
Dataset name Cost Benefit Survey Statistical Dataset of China's Grain Processing Enterprises from 2013 to 2016
Specific subject area Agricultural economics
Research topic Costs and benefits of grain processing enterprises
Time range 2013-2016
Geographical scope Jiangsu, Jiangxi, Zhejiang, Guangdong, Guangxi, Hebei, Shandong, Hubei, Hunan, Henan, Inner Mongolia, Shaanxi, Shanxi, Heilongjiang, Jilin, Liaoning, Sichuan
Data types and technical formats *.xlsx
Dataset structure This data consists of 6 data files, including: Summary of Cost and Benefit Data for Large Rice Processing Enterprises, Summary of Cost and Benefit Data for Medium Rice Processing Enterprises, Summary of Cost and Benefit Data for Small Rice Processing Enterprises, Summary of Cost and Benefit Data for Large Flour Processing Enterprises, Summary of Cost and Benefit Data for Medium Flour Processing Enterprises, and Summary of Cost and Benefit Data for Small Flour Processing Enterprises
Volume of data 444 KB
Key index in dataset Enterprise nature, enterprise scale, operating rate, daily processing capacity, raw material sources, raw material costs, labor costs, electricity expenses, financial expenses, main product income, by-product income, net profit
Data accessibility CSTR:17058.11.A0007.20231023.00.ds.3746
DOI:10.12205/A0007.20231023.00.ds.3746
Financial support The National Social Science Foundation Project "Innovative Research on the Mechanism and Agricultural Support Policy of 'Corn to Rice' in Northeast China" (No. 17CJY033); Project of the Ministry of Agriculture and Rural Affairs on "Improving the Resilience of the International Food Supply Chain" (No. B020101); Research on the Impact of Big Data Analysis on Social Networks and Social Mobility on the Income Level of Migrant Workers (No. K672001); Research on the Mechanism of Reducing Gender Wage Gap under the Background of Unbalanced Regional Economic Development (No. Z27021)

Key words: grain processing enterprises, collection and storage system, cost benefit, food security