农业大数据学报 ›› 2023, Vol. 5 ›› Issue (4): 138-143.doi: 10.19788/j.issn.2096-6369.230418

• 农业农村社会经济数据:资源与方法 • 上一篇    下一篇

中国江苏省土地经济调查统计数据集

汪紫钰(), 纪月清, 周力*()   

  1. 南京农业大学经济管理学院,南京 210095
  • 收稿日期:2023-08-18 接受日期:2023-09-28 出版日期:2023-12-26 发布日期:2024-01-05
  • 通讯作者: 周力,E-mail: zhouli@njau.edu.cn。
  • 作者简介:汪紫钰,E-mail:zywang@stu.njau.edu.cn
  • 基金资助:
    国家社会科学基金重大招标项目“我国粮食产业高质量发展实现路径与政策体系研究”(21&ZD101);国家自然科学基金面上项目“独木不成林:现代农业中小农经营规模变动的区域性外部经济研究”(72073066)

Statistical Dataset of Land Economic Survey in Jiangsu Province, China

WANG ZiYu(), JI YueQing, ZHOU Li*()   

  1. College of Economics and Management, Nanjing Agricultural University, Nanjing 210095, China
  • Received:2023-08-18 Accepted:2023-09-28 Online:2023-12-26 Published:2024-01-05

摘要:

土地规模经营是中国农业实现现代化转型的关键,但是现阶段面临土地流转增速放缓、适度规模化经营发展受阻等现实问题。江苏省经济发展水平较高,土地流转市场发育较为成熟,除了依靠市场机制运行,地方政府通过土地再调整、充当中介组织等方式创新土地流转形式,在推动土地连片规模化经营方面也发挥了关键作用。该数据集以2020-2022年中国土地经济调查CLES数据库为基础数据,按照规范化步骤整理形成943个地块、5923户农户和114个村庄3个数据集,数据内容包含土地利用和流转、规模经营信息。数据集为展现江苏省土地流转、规模化经营情况提供了可靠的经验证据,同时也为政府部门制定合理的政策干预提供了参考。

数据摘要:

项目 描述
数据库(集)名称 中国江苏省土地经济调查统计数据集
所属学科 农业经济学
研究主题 土地流转与规模经营
数据时间范围 2019-2021年
数据地理空间覆盖 江苏省
数据类型与技术格式 *.xlsx
数据库(集)组成 本数据集含3个XLSX文件,分别为:
(1)943个地块数据集:包含地块基本信息、权属信息、投入产出信息
(2)5923户农户数据集:包含农户耕地利用和流转信息
(3)114个村庄数据集:包含村庄耕地利用、流转和规模经营信息
数据量 2.75 MB
主要数据指标 经营耕地面积、耕地流转率
数据可用性 CSTR:17058.11.sciencedb.agriculture.00078
DOI:10.57760/sciencedb.agriculture.00078
经费支持 国家社会科学基金重大招标项目“我国粮食产业高质量发展实现路径与政策体系研究”(21&ZD101),国家自然科学基金面上项目“独木不成林:现代农业中小农经营规模变动的区域性外部经济研究”(72073066)

关键词: 农业现代化, 土地流转, 规模经营, 科学数据

Abstract:

Effective land scale management is crucial for achieving agricultural modernization in China. However, the current landscape is plagued by practical challenges, including the sluggish growth of land transfer and the hindrance of moderate scale management. Jiangsu Province, characterized by its high economic development and a well-established land transfer market, has successfully addressed these issues through innovative approaches such as land readjustment and the establishment of intermediary organizations. The dataset is based on the 2020-2022 China Land Economic Survey (CLES) database, and it has been organized into three datasets comprising 943 plots, 5923 households, and 114 villages, following standardized procedures. The data content includes information on land use and transfer, as well as scale. The empirical evidence provided by this data set offers valuable insights into land transfer and large-scale operation in Jiangsu Province, thereby serving as a reference for government departments in formulating effective policy interventions.

Data summary:

Item Description
Dataset name Statistical Dataset of Land Economic Survey in Jiangsu Province, China
Specific subject area Agricultural economics
Research topic Land transfer and large-scale management
Time range 2019-2021
Geographical scope Jiangsu province
Data types and technical formats *.xlsx
Dataset structure The dataset consists of three XLSX files:
(1) 943 land parcel dataset: including information on land basic characteristics, ownership and input-output
(2) 5923 household dataset: including information on household land use and transfer
(3) 114 village dataset: including information on village land use, transfer, and large-scale management
Volume of data 2.75 MB
Key index in dataset The cultivated land area under management, The rate of arable land transfer
Data accessibility CSTR:17058.11.sciencedb.agriculture.00078
DOI:10.57760/sciencedb.agriculture.00078
Financial support Major Bidding Program of National Social Science Foundation of China "Research on the Path and Policy System for Achieving High-quality Development of Grain Industry in China" (21&ZD101)
General Program of National Natural Science Foundation of China " The Lone Wolf Dies but the Pack Survives: Local External Economies for Smallholders’ Farm-size Choice in Modern Agriculture" (72073066).

Key words: agricultural modernization, land transfer, scale management, scientific data