中国江苏省土地经济调查统计数据集

doi:10.19788/j.issn.2096-6369.230418

Abstract

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

WANG ZiYu, JI YueQing, ZHOU Li. Statistical Dataset of Land Economic Survey in Jiangsu Province, China[J].Journal of Agricultural Big Data, 2023, 5(4): 138-143.

Figures/Tables 3

Table 1

Table 2

Table 3

References 8

[1]	匡远配, 陆钰凤. 我国农地流转“内卷化”陷阱及其出路[J]. 农业经济问题, 2018(9):33-43.
[2]	郜亮亮. 中国种植类家庭农场的土地形成及使用特征——基于全国31省(自治区、直辖市)2014-2018年监测数据[J]. 管理世界, 2020, 36(4):181-195.
[3]	纪月清, 杨宗耀, 方晨亮, 等. 从预期到落地:承包地确权如何影响农户土地转出决策?[J]. 中国农村经济, 2021(7):24-43.
[4]	程令国, 张晔, 刘志彪. 农地确权促进了中国农村土地的流转吗?[J]. 管理世界, 2016(1):88-98.
[5]	许庆, 陆钰凤. 非农就业、土地的社会保障功能与农地流转[J]. 中国人口科学, 2018(5):30-41+126-127.
[6]	郜亮亮, 纪月清. 中国城乡转型中的农村土地集体产权与流转配置效率[J]. 中国农村经济, 2022(10):24-40.
[7]	吴一恒, 马贤磊. 基于外部治理环境与内部治理结构视角的土地流转市场发育研究[J]. 农业经济问题, 2021(5):66-77.
[8]	刘同山, 周静. 创新农业经营体制的江苏亭湖探索[J]. 乡村振兴文稿. 2022(6): 45-52.

市	县（市、区）	村（社区）
南京市	溧水区	金湖村、上港村
南京市	高淳区	双游村、三保村
无锡市	宜兴市	邬泉村、佘圩村
无锡市	江阴市	赤岸村、小桥村
徐州市	睢宁县	凌东村、骑路刘村
徐州市	丰县	朱尧村、刘电池村
常州市	溧阳市	庆丰村、塘马村
常州市	武进区	雪西村、甘荡村
苏州市	太仓市	永乐村、牌楼社区
苏州市	昆山市	武神潭村、武城村
南通市	海安市	许家庄村、新海村
南通市	如东县	丁字岸村、许楼村
连云港市	赣榆区	土城村、孙桥村
连云港市	灌云县	石门村、岗东村
淮安市	涟水县	胡南村、河湾村
淮安市	盱眙县	永华村、明祖陵村
盐城市	亭湖区	曙阳村、富民居委会
盐城市	东台市	新先村、双洋村
扬州市	江都区	邓华村、联丰村
扬州市	仪征市	岔镇村、茶蓬村
镇江市	丹阳市	延星村、丈山村
镇江市	丹徒区	鲁溪村、上党村
泰州市	兴化市	联镇村、刘文村
泰州市	高港区	宗林村、雅儒村
宿迁市	泗阳县	陶圩村、集东村
宿迁市	沭阳县	冷庄村、沙巷村

变量		数值
承包地面积（亩）		7.76
经营耕地面积（亩）		17.82
转出对象	转包给企业面积占比（%）	7.10
	转包给专业合作组织面积占比（%）	3.20
	转包给村集体面积占比（%）	34.98
	转包给农户面积占比（%）	53.26
合约期限	签订书面合同的转出面积占比（%）	84.09
合约期限	讲明流转期限的转出面积占比（%）	82.02
协调组织	和其他户一起集体转出的面积占比（%）	59.74
协调组织	村干部或村委组织的集体转出面积占比（%）	57.08

变量		数值
村庄平均耕地总面积（亩）		5 919.63
流转的承包耕地面积（亩）		3 120
耕地流转率（%）		52.71
耕地规模经营情况	经营面积超过500亩的主体经营面积占比（%）	17.56
	经营面积 >200－500亩的主体经营面积占比（%）	20.15
	经营面积 >100－200亩的主体经营面积占比（%）	3.52
	经营面积 >50－100亩的主体经营面积占比（%）	2.44
50亩及以上耕地集中流转组织协调	村委或干部协调流转面积占比（%）	100
	专业中介机构协调流转面积占比（%）	0
	其他农户协调流转面积占比（%）	0
50亩及以上耕地集中流转媒介	县土地流转交易平台的面积占比（%）	100
50亩及以上耕地集中流转对象	转包给企业面积占比（%）	0
	转包给农民专业合作经济组织面积占比（%）	0
	转包给其他农户面积占比（%）	100

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Statistical Dataset of Land Economic Survey in Jiangsu Province, China

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