Journal of Agricultural Big Data >
A Dataset of National Agricultural Machinery Purchase and Application Subsidy Information from 2021 to 2022
Received date: 2023-08-16
Accepted date: 2023-09-02
Online published: 2023-11-14
As an important policy to strengthen and benefit agriculture, the agricultural machinery purchase subsidy policy has a profound impact on many parties, such as new agricultural business entities, agricultural production, and the agricultural machinery industry. Through the collection of national agricultural machinery purchase and subsidy data, we can grasp the differences and trends in the purchase of agricultural machinery in various regions. We can then reasonably assess the impact of the policy, adjust the policy objectives and content, promote the healthy development of the agricultural machinery market, and better assist the construction of a strong agricultural country. At present, the Department of Agriculture and Rural Affairs of each province in China, through the information disclosure column of agricultural machinery purchase subsidies, releases data related to agricultural machinery purchase in real time. Through network crawling and processing, this dataset covers the subsidy data on the purchase and application of agricultural machinery in 23 provinces (autonomous regions and municipalities directly under the central government) such as Beijing, Tianjin, Shanxi, etc. in 2021-2022, totaling 222,6229 items. This dataset can be used to analyze the characteristics and differences of the purchase of agricultural machinery and the subsidy distribution in different regions, and provide a data basis for related scientific research and management decision-making.
Data summary:
| Items | Description |
|---|---|
| Dataset name | A Dataset of National Agricultural Machinery Purchase and Application Subsidy Information from 2021 to 2022 |
| Specific subject area | Agriculture economics |
| Research topic | Subsidies for the purchase of agricultural machinery |
| Time range | 2021-2022 |
| Geographical scope | Beijing, Tianjin, Shanxi and other 23 provinces (autonomous regions and municipalities directly under the central government) |
| Data types and technical formats | Preprocessed data (EXCEL format) |
| Dataset structure | It is divided into 3 files by province. The first one is Chongqing, Shanxi, Zhejiang, Shaanxi 2021-2022 dataset. The second is Henan, Hubei, Jiangxi, Xinjiang, Heilongjiang, Xizang 2021-2022 dataset. The third is Hebei, Gansu, Anhui, Fujian, Guangxi, Liaoning, Guizhou, Hainan, Ningxia, Qinghai, Tianjin, Beijing, Shanghai 2021-2022 dataset |
| Volume of data | 259.49 MB |
| Key index in dataset | 19 indicators, including province, county, township (town), corresponding character of the purchaser's name, purchaser's name, and item of the machin |
| Data accessibility | CSTR:31253.11.sciencedb.12793 DOI:10.57760/sciencedb.12793 |
| Financial support | Ministry of Education, Philosophy and Social Science Major Project (No. 20JZD015); National Natural Science Foundation of China (No. 72303076); National Innovation and Entrepreneurship Training Programme for College Students (No. 202310504074) |
WenJun YANG , XiangQun GU , ZhiHai YANG . A Dataset of National Agricultural Machinery Purchase and Application Subsidy Information from 2021 to 2022[J]. Journal of Agricultural Big Data, 2023 , 5(3) : 49 -55 . DOI: 10.19788/j.issn.2096-6369.230309
| [1] | 潘彪, 田志宏. 农机购置补贴政策研究综述[J]. 中国农业大学学报, 2018, 23(10):161-173. |
| [2] | 冷博峰, 冯中朝, 周晓时, 等. 农机购置补贴对农户购机投入模型与影响分析[J]. 农业工程学报, 2020, 36(23):324-334. |
| [3] | 胡凌啸, 周应恒. 农机购置补贴政策对大型农机需求的影响分析——基于农机作业服务供给者的视角[J]. 农业现代化研究, 2016, 37(1):110-116.DOI:10.13872/j.1000-0275.2015.0156. |
| [4] | 颜玄洲, 孙水鹅, 欧一智. 农机购置补贴政策下种稻大户购机决策影响因素分析[J]. 农林经济管理学报, 2015, 14(6):592-599.DOI:10.16195/j.cnki.cn36-1328/f.2015.06.006. |
| [5] | 刘进, 贾杰斐, 许庆. 农机购置补贴如何影响小农户农机社会化服务获得——基于全国农村固定观察点数据的分析[J]. 中国农村经济, 2023(2):85-108.DOI:10.20077/j.cnki.11-1262/f.2023.02.007. |
| [6] | 张标, 张领先, 傅泽田, 等. 农户农机需求及购买行为分析——基于18省的微观调查数据实证[J]. 中国农业大学学报, 2017, 22(11):208-223. |
| [7] | 曹光乔, 周力, 易中懿, 等. 农业机械购置补贴对农户购机行为的影响——基于江苏省水稻种植业的实证分析[J]. 中国农村经济, 2010(6): 38-48. |
| [8] | 李飞, 张宗毅. 2018—2020年我国农机市场结构测度与演变——基于全国农机购置补贴辅助系统数据[J]. 农业农村部管理干部学院学报, 2021(4):54-66. |
| [9] | 徐慧, 周应恒. 农机购置补贴、外资进入对我国农机行业技术效率的影响[J]. 江苏农业科学, 2017, 45(10):273-277.DOI:10.15889/j.issn.1002-1302.2017.10.073. |
| [10] | 周应恒, 张蓬, 严斌剑. 农机购置补贴政策促进了农机行业的技术创新吗[J]. 农林经济管理学报, 2016, 15(5):489-499.DOI:10.16195/j.cnki.cn36-1328/f.2016.05.059. |
/
| 〈 |
|
〉 |