2018
DOI: 10.1016/j.landusepol.2017.09.005
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How do land rental markets affect household income? Evidence from rural Jiangsu, P.R. China

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Cited by 72 publications
(64 citation statements)
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“…Additionally, Noflf has opposing significance and signs in models Renou and Renin that implies the families with fewer female laborers are more likely to rent out and the number of female laborers will not affect the probability of renting in. This finding also supports the previous opinion that most remaining female laborers are engaged in farm work and the behavior of renting in is dominated by males, since Noflf can be significant of female laborers would like to rent in [32,33].The parameter of Nooaf suggests that families with fewer old adults will The symbols*,**, *** indicate statistical significance at the 10, 5, and 1% levels, respectively.…”
Section: The Impact Of the Labor Force On Farmland Rental Decisionssupporting
confidence: 87%
“…Additionally, Noflf has opposing significance and signs in models Renou and Renin that implies the families with fewer female laborers are more likely to rent out and the number of female laborers will not affect the probability of renting in. This finding also supports the previous opinion that most remaining female laborers are engaged in farm work and the behavior of renting in is dominated by males, since Noflf can be significant of female laborers would like to rent in [32,33].The parameter of Nooaf suggests that families with fewer old adults will The symbols*,**, *** indicate statistical significance at the 10, 5, and 1% levels, respectively.…”
Section: The Impact Of the Labor Force On Farmland Rental Decisionssupporting
confidence: 87%
“…With land scarcity and off‐farm opportunities, rural Chinese households have improved labor productivity and household income by engaging in nonfarm activities, including unskilled wage work, wage employment (local wage and migration), and self‐employment (Zhang et al., 2018; Zhao, 1999). For example, between 2008 and 2016, rural Chinese households’ per capita income increased annually by about 11%.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Following Chen and Fu (2017) and Zhang et al. (2018), we use the share of households in the village participating in LRM as an IV. We adopt the simple falsification test (Di Falco & Veronesi, 2013; Kassie et al., 2015) to confirm the effectiveness of the IV, and results show that in nearly all cases, the IV is significant in LRM choices equation (Table 4) but not in the family labor productivity equation (see Tables A1 and A2), which proves the validity of the IV.…”
Section: Empirical Model and Identification Strategymentioning
confidence: 99%
“…Unay-Gailhard and Bojnec (2019) suggested labour use and job market could be utilised to measure sustainability of economic development [ 48 ]. Household income is also regarded as an important data source by which to evaluate consumption ability and the willingness of individuals or groups in both China and developing countries to pay [ 49 – 51 ], as well as a being a means by which to support discourse on income inequality, poverty, and other economic issues [ 52 , 53 ]. The economic facet of rural planning therefore includes both synchronic (industrial chain, logistics management, job markets, economic policy, etc.)…”
Section: Engaging Diachronic Perceptions Of Rural Residents In Econommentioning
confidence: 99%