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Internet Usage, Social Relationship Networks, and Agricultural Land Transfer Behavior
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Qinghua Xin, Baijun Wu
Journal of Technology Economics | 2024, 43(11) : 105 - 118
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Journal of Technology Economics | 2024, 43(11): 105-118
Technology Economics Management
Internet Usage, Social Relationship Networks, and Agricultural Land Transfer Behavior
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Qinghua Xin, Baijun Wu
Affiliations
  • School of Business East China University of Science and Technology Shanghai 200237 China
Published: 2024-11-10 doi: 10.12404/j.issn.1002-980X.J24022714
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Based on China's Land Economic Survey (CLES) data, empirical analysis was conducted on the impact of internet use on farmers' land transfer behaviors using models such as Eprobit, Eregress, and PSM-DID. The 4-way counterfactual total effect decomposition method was employed to verify the "synergistic" mechanism between the internet and social relationship networks. The research findings are as follows. Internet usage can further optimize land factor allocation and facilitate farmers' land transfer. Mechanism analysis indicates that strong social networks only have an intermediary effect, while weak social relationship networks have both intermediary and interactive effects, implying the transformation of the agricultural land transaction market. Further analysis reveals that the synergy between the internet and weak social relationship networks can effectively promote the transaction connection between small farm entities and new management entities. Internet usage leads to the long-term and contractualization of land market transactions. The results show that internet usage is of significant importance in weakening the constraints of social relationship networks and promoting the effective connection between small-scale agricultural economies and modern agriculture.

internet  /  strong social networks  /  weak social networks  /  agricultural land transfer
Qinghua Xin, Baijun Wu. Internet Usage, Social Relationship Networks, and Agricultural Land Transfer Behavior[J]. Journal of Technology Economics, 2024 , 43 (11) : 105 -118 . DOI: 10.12404/j.issn.1002-980X.J24022714
Year 2024 volume 43 Issue 11
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doi: 10.12404/j.issn.1002-980X.J24022714
  • Receive Date:2024-02-27
  • Online Date:2025-07-19
  • Published:2024-11-10
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  • Received:2024-02-27
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    School of Business East China University of Science and Technology Shanghai 200237 China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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