Job prospects and labour mobility in China

Wang-Lu, Huaxin; Mendoza, Octasiano Miguel Valerio

doi:10.1080/09638199.2022.2157463

Cited by 6 publications

(3 citation statements)

References 59 publications

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“…The probability of migrating varies according to one's relation to the household head, highlighting the importance of gender, family structure (14), and education. Labor migrants are more likely to be male, unmarried, younger, or more educated.…”

Section: Immigrantmentioning

confidence: 99%

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Does High Minimum Wage Attract Immigrants?

Susanto¹,

Udjianto²,

Windyastuti³

2023

IJSSHR

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Immigration is associated with an effort to get a better living. Therefore, this research analyzes whether the high minimum wage attracts immigrants. This study utilizes secondary data from Indonesian Statistics that cover the condition of immigrants in Java, an island with the highest population density. In this research, the proportion of immigrants is the dependent variable. At the same time, the minimum wage is the independent variable and the percentage of formal jobs and prosperity as covariates. The secondary data is analyzed by regression based on Fully Modified Ordinary Least Squares (FMOLS). This regression analysis is complemented by primary data through questionnaires sent to some economic experts. The primary data is analyzed by Delphi Method. The regression result shows no association between the proportion of immigrants and minimum wage. A high minimum wage does not attract people to enter an area. At the same time, a percentage of formal jobs and prosperity attract people to immigrate. In addition, the Delphi analysis exhibits similar results. The expert’s opinion about the impact of minimum wage is not convergence. Not all experts agree that migrant considers the high minimum wage. However, all experts agree that formal jobs, infrastructure, prosperity, amenities, and living costs have an impact on immigrants.

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Section: Immigrantmentioning

confidence: 99%

“…Moreover, the ongoing industrial reform influences labor mobility between cities, providing essential insights for regional policymakers to prevent brain drain and attract relevant talent (14). Industrial reform needs additional labor by offering high-salary jobs.…”

Section: Immigrantmentioning

confidence: 99%

Does High Minimum Wage Attract Immigrants?

Susanto¹,

Udjianto²,

Windyastuti³

2023

IJSSHR

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“…For another, Liaoning Province is in the transition from secondary to tertiary industry [54]. The employment structure has changed in this process, causing part of the urban labor to be facing unemployment [55]. Liaoning Province had the highest urban unemployment rate in China during 2020 [34].…”

Section: Reasons For Forming the "Core-periphery" Spatial Pattern Of ...mentioning

confidence: 99%

Spatial Pattern of Farmland Transfer in Liaoning Province, China

et al. 2023

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Farmland transfer (FT) is the key to achieving moderate agricultural scale management in China. Clarifying the spatial pattern of FT is important to improve FT strategies. In this study, the multinomial logit model was used to reveal the spatial pattern of FT in Liaoning Province, Northeast China. On this basis, the reasons for its formation were discussed, and suggestions were proposed. According to the statistical results, 39.7% of the sample peasant households participated in FT. Most of them live far from the regional core area. Regression analysis shows that the FT in Liaoning Province has a significant “core-periphery” spatial pattern. As the spatial distance between the residence and the regional core area (SDRRC) increases, the probability of FT rises for peasant households. Specifically, the odds ratios of farmland transfer out and farmland transfer in rise by 0.9% and 0.6% on average, respectively, for each 1 km increase in SDRRC. Widespread concurrent business and the increase in FT fees due to imperfect urbanization are the main reasons for the formation of the spatial pattern. We suggest that the promotion of FT requires high-quality urbanization in central cities, accelerating urbanization in medium and small cities and counties, implementing differentiated FT subsidy standards, and promoting new agricultural scale management models.

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