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A Bayesian Analysis of the Driving Mechanism of the Migrant Population in the Jiangsu-Zhejiang-Shanghai Region
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Wenjing WU, Qilin YE
Science Technology and Industry | 2025, 25(14) : 179 - 188
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Science Technology and Industry | 2025, 25(14): 179-188
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A Bayesian Analysis of the Driving Mechanism of the Migrant Population in the Jiangsu-Zhejiang-Shanghai Region
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Wenjing WU, Qilin YE
Affiliations
  • School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
Published: 2025-07-25
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Since the reform and opening-up policy was implemented in 1978, China has loosed its household registration policy and rapidly advanced the construction of urbanization. The pattern of population migration has shifted from planned migration to autonomous migration. The Jiangsu-Zhejiang-Shanghai region has experienced a significant increase in the scale of the in-migration population, thence it is highly meaningful to research its driving mechanisms. Based on the in-migration data in the sixth population census, a multivariate linear regression model was constructed by the independent variables, such as the resident population, per capita GDP, per capita employment wage, per capita medical beds, population with a college degree or above and distance. Furthermore, the hierarchical Bayesian theory was introduced to reduce the indeterminacy of parameter estimation. The results show that economic factors serve as the primary driving force. Population factors, the education factor and distance factor also play important roles, while the medical factor has a relatively weak effect.

Bayesian model  /  migrant population  /  Jiangsu-Zhejiang-Shanghai region  /  driving mechanism
Wenjing WU, Qilin YE. A Bayesian Analysis of the Driving Mechanism of the Migrant Population in the Jiangsu-Zhejiang-Shanghai Region[J]. Science Technology and Industry, 2025 , 25 (14) : 179 -188 .
Year 2025 volume 25 Issue 14
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Article Info
  • Receive Date:2025-02-25
  • Online Date:2025-09-15
  • Published:2025-07-25
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  • Received:2025-02-25
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    School of Geography and Ocean Science, Nanjing University, Nanjing 210023, 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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