Peasant households’ land use decision-making analysis using social network analysis: A case of Tantou Village, China

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Peasant households’ land use decision-making analysis using social network analysis : A case of Tantou Village, China. / Xia, Hao; Li, Cuizhen; Zhou, De; Zhang, Yueyue; Xu, Jieliang.

In: Journal of Rural Studies, Vol. 80, 12.2020, p. 452-468.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Xia, H, Li, C, Zhou, D, Zhang, Y & Xu, J 2020, 'Peasant households’ land use decision-making analysis using social network analysis: A case of Tantou Village, China', Journal of Rural Studies, vol. 80, pp. 452-468. https://doi.org/10.1016/j.jrurstud.2020.10.023

APA

Xia, H., Li, C., Zhou, D., Zhang, Y., & Xu, J. (2020). Peasant households’ land use decision-making analysis using social network analysis: A case of Tantou Village, China. Journal of Rural Studies, 80, 452-468. https://doi.org/10.1016/j.jrurstud.2020.10.023

Vancouver

Xia H, Li C, Zhou D, Zhang Y, Xu J. Peasant households’ land use decision-making analysis using social network analysis: A case of Tantou Village, China. Journal of Rural Studies. 2020 Dec;80:452-468. https://doi.org/10.1016/j.jrurstud.2020.10.023

Author

Xia, Hao ; Li, Cuizhen ; Zhou, De ; Zhang, Yueyue ; Xu, Jieliang. / Peasant households’ land use decision-making analysis using social network analysis : A case of Tantou Village, China. In: Journal of Rural Studies. 2020 ; Vol. 80. pp. 452-468.

Bibtex

@article{6d3fabc312274027accccdf5bb9008a0,
title = "Peasant households{\textquoteright} land use decision-making analysis using social network analysis: A case of Tantou Village, China",
abstract = "In a long historical period, the social network based on kinship and neighborhood played an important role in the rural society of China. China's rural revitalization policy has brought rural development into a new era. In this research, we have explored whether the characteristics of the traditional rural social network have changed in the current period, and whether and how the social network, as an informal system, affects peasant households' land use decisions. We used social network analysis to portray the characteristics of peasant households' social network and adopted network autocorrelation analysis to test whether the social network affects peasant households' land use decision-making, and finally employed regression models to revel the mechanism among the social network, livelihoods, and peasant households' land use decision-making. Our research results showed that the social network of peasant households based on kinship and neighborhood was featured by subgroups and small-world phenomenon, indicating that the pattern of traditional rural social relationships has not changed. Besides, our results also revealed that the social network influences peasant households' land use decision-making by making it more similar, that is, the decision-making presented peer effects. In peer effects, the influence of the neighborhood network was greater than that of the kinship network, and when the social relationship reached the fourth-order, peer effects would no longer exist. Furthermore, the social network can not only regulate the simplification and food-crop preference of planting structure caused by livelihood changes but also directly reduces the food crop proportion and increases land investment intensity. Our research results emphasize the importance of using peasant households' social networks to guide land use in the process of rural revitalization to better implement agricultural policies.",
keywords = "Land use decision-making, Livelihood, Peasant household, Peer effect, Rural revitalization, Social network analysis",
author = "Hao Xia and Cuizhen Li and De Zhou and Yueyue Zhang and Jieliang Xu",
note = "Funding Information: This work was supported by the Program for Humanity and Social Science Research by the Ministry of Education of China (No. 18YJA630049), the Major Program of National Social Science Foundation of China (19ZDA096), the National Social Science Fund of China (19BGL283), and the Innovation Program for Graduate Students of Zhejiang Gongshang University (No.2018132). The authors would like to thank anonymous reviewers for their valuable feedback. Funding Information: This work was supported by the Program for Humanity and Social Science Research by the Ministry of Education of China (No. 18YJA630049 ), the Major Program of National Social Science Foundation of China ( 19ZDA096 ), the National Social Science Fund of China ( 19BGL283 ), and the Innovation Program for Graduate Students of Zhejiang Gongshang University (No. 2018132 ). The authors would like to thank anonymous reviewers for their valuable feedback. Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd",
year = "2020",
month = dec,
doi = "10.1016/j.jrurstud.2020.10.023",
language = "English",
volume = "80",
pages = "452--468",
journal = "Journal of Rural Studies",
issn = "0743-0167",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Peasant households’ land use decision-making analysis using social network analysis

T2 - A case of Tantou Village, China

AU - Xia, Hao

AU - Li, Cuizhen

AU - Zhou, De

AU - Zhang, Yueyue

AU - Xu, Jieliang

N1 - Funding Information: This work was supported by the Program for Humanity and Social Science Research by the Ministry of Education of China (No. 18YJA630049), the Major Program of National Social Science Foundation of China (19ZDA096), the National Social Science Fund of China (19BGL283), and the Innovation Program for Graduate Students of Zhejiang Gongshang University (No.2018132). The authors would like to thank anonymous reviewers for their valuable feedback. Funding Information: This work was supported by the Program for Humanity and Social Science Research by the Ministry of Education of China (No. 18YJA630049 ), the Major Program of National Social Science Foundation of China ( 19ZDA096 ), the National Social Science Fund of China ( 19BGL283 ), and the Innovation Program for Graduate Students of Zhejiang Gongshang University (No. 2018132 ). The authors would like to thank anonymous reviewers for their valuable feedback. Publisher Copyright: © 2020 Elsevier Ltd

PY - 2020/12

Y1 - 2020/12

N2 - In a long historical period, the social network based on kinship and neighborhood played an important role in the rural society of China. China's rural revitalization policy has brought rural development into a new era. In this research, we have explored whether the characteristics of the traditional rural social network have changed in the current period, and whether and how the social network, as an informal system, affects peasant households' land use decisions. We used social network analysis to portray the characteristics of peasant households' social network and adopted network autocorrelation analysis to test whether the social network affects peasant households' land use decision-making, and finally employed regression models to revel the mechanism among the social network, livelihoods, and peasant households' land use decision-making. Our research results showed that the social network of peasant households based on kinship and neighborhood was featured by subgroups and small-world phenomenon, indicating that the pattern of traditional rural social relationships has not changed. Besides, our results also revealed that the social network influences peasant households' land use decision-making by making it more similar, that is, the decision-making presented peer effects. In peer effects, the influence of the neighborhood network was greater than that of the kinship network, and when the social relationship reached the fourth-order, peer effects would no longer exist. Furthermore, the social network can not only regulate the simplification and food-crop preference of planting structure caused by livelihood changes but also directly reduces the food crop proportion and increases land investment intensity. Our research results emphasize the importance of using peasant households' social networks to guide land use in the process of rural revitalization to better implement agricultural policies.

AB - In a long historical period, the social network based on kinship and neighborhood played an important role in the rural society of China. China's rural revitalization policy has brought rural development into a new era. In this research, we have explored whether the characteristics of the traditional rural social network have changed in the current period, and whether and how the social network, as an informal system, affects peasant households' land use decisions. We used social network analysis to portray the characteristics of peasant households' social network and adopted network autocorrelation analysis to test whether the social network affects peasant households' land use decision-making, and finally employed regression models to revel the mechanism among the social network, livelihoods, and peasant households' land use decision-making. Our research results showed that the social network of peasant households based on kinship and neighborhood was featured by subgroups and small-world phenomenon, indicating that the pattern of traditional rural social relationships has not changed. Besides, our results also revealed that the social network influences peasant households' land use decision-making by making it more similar, that is, the decision-making presented peer effects. In peer effects, the influence of the neighborhood network was greater than that of the kinship network, and when the social relationship reached the fourth-order, peer effects would no longer exist. Furthermore, the social network can not only regulate the simplification and food-crop preference of planting structure caused by livelihood changes but also directly reduces the food crop proportion and increases land investment intensity. Our research results emphasize the importance of using peasant households' social networks to guide land use in the process of rural revitalization to better implement agricultural policies.

KW - Land use decision-making

KW - Livelihood

KW - Peasant household

KW - Peer effect

KW - Rural revitalization

KW - Social network analysis

UR - http://www.scopus.com/inward/record.url?scp=85094579849&partnerID=8YFLogxK

U2 - 10.1016/j.jrurstud.2020.10.023

DO - 10.1016/j.jrurstud.2020.10.023

M3 - Journal article

AN - SCOPUS:85094579849

VL - 80

SP - 452

EP - 468

JO - Journal of Rural Studies

JF - Journal of Rural Studies

SN - 0743-0167

ER -

ID: 304888894