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Effects of Social Network on Human Capital of Land-Lost Farmers: A Study in Zhejiang Province

Published on May 1, 2018in Social Indicators Research1.70
· DOI :10.1007/s11205-017-1592-6
Haijun Bao3
Estimated H-index: 3
(Zhejiang University of Finance and Economics),
Xiaoting Zhu2
Estimated H-index: 2
(Zhejiang University of Finance and Economics)
+ 2 AuthorsJibin Xue2
Estimated H-index: 2
(Zhejiang University of Finance and Economics)
Abstract
Rapid urbanization in China has resulted in the inability of land-lost farmers, who are considered to lack sufficient human capital. Few studies have been conducted to investigate the effects of social network and land expropriation on the human capital of land-lost farmers. Therefore, effective improvement of land-lost farmers’ human capital remains unknown. To address this gap, this study investigates the effects of social network on the human capital of land-lost farmers and the moderating effects of land expropriation with the case of Zhejiang Province in China. Regression is used to examine the effects of social network, which is measured by network scale (NS), network intensity (NI), and mutual trust (MT), on human capital. Hierarchical regression is used to examine the moderating effects of land expropriation, which is measured by land location (LL) and settlement mode (SM). The study indicates that NS, NI, and MT have more positive effects on human capital under the moderating role of LL. However, only NS and NI have more positive effects, yet MT has insignificant effects on human capital under the moderating role of SM. The results indicate that land expropriation scenarios affect the relationship among social network and human capital to some extent. The findings can facilitate the local governments formulate appropriate policies that promote human capital among land-lost farmers through enhancing social network.
  • References (51)
  • Citations (8)
References51
Newest
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#2Urban Perkmann (Chamber of commerce)H-Index: 1
Last.Gottfried Tappeiner (University of Innsbruck)H-Index: 15
view all 5 authors...
#1Haijun Bao (Zhejiang University of Finance and Economics)H-Index: 3
#2Yi Peng (Zhejiang University of Finance and Economics)H-Index: 22
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Last.Karsten Hank (University of Cologne)H-Index: 31
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#2Yani Lai (SZU: Shenzhen University)H-Index: 9
Last.Xiaoling Zhang (CityU: City University of Hong Kong)H-Index: 40
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Cited By8
Newest
#1Haijun Bao (Zhejiang University of Finance and Economics)H-Index: 3
#2Yan Fang (Zhejiang University of Finance and Economics)
Last.Yi Peng (Zhejiang University of Finance and Economics)H-Index: 22
view all 4 authors...
#1Yuzhe Wu (ZJU: Zhejiang University)H-Index: 21
#2Zhibin Mo (ZJU: Zhejiang University)H-Index: 3
Last.Martin Skitmore (QUT: Queensland University of Technology)H-Index: 46
view all 4 authors...
#1Haijun Bao (Zhejiang University of Finance and Economics)H-Index: 3
#2Siqi Deng (Zhejiang University of Finance and Economics)H-Index: 1
Last.Yi Peng (Zhejiang University of Finance and Economics)H-Index: 22
view all 4 authors...
#1Wenzhang Zhou (Zhejiang University of Finance and Economics)H-Index: 1
#2Yi Peng (Zhejiang University of Finance and Economics)H-Index: 22
Last.Haijun Bao (Zhejiang University of Finance and Economics)H-Index: 7
view all 3 authors...
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