2020-2021年四川省农民合作社固定观察点调查统计数据集

doi:10.19788/j.issn.2096-6369.230306

Abstract

Abstract:

Farmers' cooperatives have become an important part of China's modern agricultural industrial organization, and their development quality is directly related to the process of China's agricultural and rural modernization. By establishing fixed observation points with 456 (2020) and 537 (2021) farmers’ cooperatives in 10 counties (cities and districts) in Sichuan Province, the research group carried out field research for two consecutive years, collected detailed data on the production and operation of farmers’ cooperatives from 2020 to 2021, and processed and sorted out the data according to scientific methods to obtain 993 pieces of internal governance structure, industrial integration, green technology adoption, and demonstration drive that reflected the development of farmers' cooperatives. The operation quality dataset of farmers' cooperatives in Sichuan Province from 2020 to 2021 was formed. This data provide the possibility for improving the internal governance structure of cooperatives, lay a foundation for the research on improving the operation quality of farmers' cooperatives, and provide important support for the decision-making of the government and relevant ministries.

Data summary:

Item	Description
Dataset name	Statistical Data Set of Fixed Observation Point Survey of Farmers' Cooperatives in Sichuan Province from 2020 to 2021
Specific subject area	Agricultural economics and management
Time range	2020-2021
Geographical scope	Sichuan Province
Data types and technical formats	*.xlsx
Dataset structure	The dataset includes data on the internal governance structure, industrial integration, the adoption of green technology, demonstration and other data of farmers’ cooperatives in 10 counties (cities and districts) in Sichuan Province from 2020 to 2021, corresponding to one worksheet for each year, with a total of 100 records.
Volume of data	2119.68 KB
Key index in dataset	Established type, contribution ratio of members, leading industry, scale of operation, governance structure, product sales, industrial convergence, the adoption of green technology, agricultural income, profit distribution and the role of demonstration in cooperatives.
Data accessibility	CSTR：17058.11.sciencedb.agriculture.00060 DOI：10.57760/sciencedb.agriculture.00060
Financial support	National Natural Science Foundation of China (No.71673195)

Key words: Sichuan Province, farmers' cooperatives, quality improvement, scientific data

ZHANG SheMei, DENG JieHao, MO JingMei. Statistical Dataset of Fixed Observation Point Survey of Farmers' Cooperatives in Sichuan Province from 2020 to 2021[J].Journal of Agricultural Big Data, 2023, 5(3): 32-37.

Figures/Tables 2

Table 1

Table 2

References 10

[1]	何蒲明. 农民收入结构变化对农民种粮积极性的影响——基于粮食主产区与主销区的对比分析[J]. 农业技术经济, 2020(1): 130-142.
[2]	陈锐, 张社梅. 示范抑或挤出?——农民合作社示范社的空间溢出效应[J]. 中国农村经济, 2022(11):122-144.
[3]	孙亚范, 余海鹏. 农民专业合作社成员合作意愿及影响因素分析[J]. 中国农村经济, 2012(6):48-58.
[4]	董杰, 陈锐, 张社梅. 聘用职业经理人改善了农民合作社绩效吗——基于“反事实”框架的实证分析[J]. 经济学家, 2020(3):117-127.
[5]	李后建, 郭安达. 聘用职业经理人有助于农民合作社创新吗?[J]. 科研管理, 2022, 43(11):182-190.
[6]	徐洋, 郭翔宇. 三产融合对农民合作社绩效的作用机制——来自黑龙江省254家农民合作社的经验[J]. 中国农业大学学报, 2022, 27(11):265-278.
[7]	苑鹏, 罗千峰. 生态畜牧业合作社能否成为促进牧民从“自然人”到“职业人”转型的有效组织?——青海拉格日生态畜牧业合作社案例解析[J]. 中国农村经济, 2022(6):45-64.
[8]	刘同山, 孔祥智. 治理结构如何影响农民合作社绩效?——对195个样本的SEM分析[J]. 东岳论丛, 2015, 36(12):16-23.
[9]	张社梅. 制度创新、人文关怀与农民专业合作社的治理探讨——以鑫养蜂专业合作社为例[J]. 农村经济, 2017(5):123-128.
[10]	钟真, 穆娜娜, 齐介礼. 内部信任对农民合作社农产品质量安全控制效果的影响——基于三家奶农合作社的案例分析[J]. 中国农村经济, 2016(1):40-52.

[1]	. [J]. Bulletin of Agricultural Science and Technology, 2018, 0(5): 77 -78 .
[2]	. [J]. Bulletin of Agricultural Science and Technology, 2018, 0(5): 73 -76 .
[3]	. [J]. Bulletin of Agricultural Science and Technology, 2018, 0(5): 52 -54 .
[4]	. [J]. Bulletin of Agricultural Science and Technology, 2018, 0(5): 50 -51 .
[5]	. [J]. Bulletin of Agricultural Science and Technology, 2018, 0(5): 46 -47 .
[6]	. [J]. Bulletin of Agricultural Science and Technology, 2018, 0(5): 32 -33 .
[7]	. [J]. Bulletin of Agricultural Science and Technology, 2018, 0(5): 285 -287 .
[8]	. [J]. Bulletin of Agricultural Science and Technology, 2018, 0(5): 275 -276 .
[9]	. [J]. Bulletin of Agricultural Science and Technology, 2018, 0(5): 268 -269 .
[10]	. [J]. Bulletin of Agricultural Science and Technology, 2018, 0(5): 260 -261 .

变量		2020	2021	均值
资产规模	小型资产规模合作社个数	39	189	114
	小型资产规模合作社占比(%)	8.55	35.19	21.87
	中型资产规模合作社个数	91	176	134
	中型资产规模合作社占比(%)	19.96	32.77	26.37
	大型资产规模合作社个数	326	208	267
	大型资产规模合作社占比(%)	71.49	38.73	55.11
是否为示范社	示范社	167	279	223
	县级和市级	106	183	144
	省级和国家级	61	96	78.5
	非示范社	289	258	275
主导产业	种植业	386	353	369.5
	养殖业	57	169	113
	服务业	13	15	14
年度样本量		456	537	497
年度样本量占比（%）		45.92	54.08	100

变量名称	均值	最小值	最大值	标准差
合作社社员户数（户）	70.162	2	1705	126.504
社员出资额（万元）	130.247	0	1250	201.556
合作社总收入（万元）	162.451	0	3500	352.910
成员分配利润（万元）	17.481	0	875	62.217
合作社为成员产品销售占比（%）	61.3	0	100	36.987
主要生产资料统一采购率（%）	57.7	0	100	40.445
技术服务成员数（人）	37.610	0	511	62.843
绿色技术采用（项）	2.808	0	6	1.783
年培训人次（人次）	97.922	0	2000	220.289
“三会”是否齐全	0.878	0	1	0.327
“三会”是否正常开展工作	0.849	0	1	0.358
带动非成员农户数（户）	147.606	0	2000	287.565
拥有认证产品数（个）	0.727	0	4	1.145
加工产品比例（%）	11.51	0	1	25.71
合作社第三产业收入占比（%）	4.41	0	1	13.21
通过网络销售的产品占比（%）	9.62	0	1	17.20

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Statistical Dataset of Fixed Observation Point Survey of Farmers' Cooperatives in Sichuan Province from 2020 to 2021

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