PROGRESS IN GEOGRAPHY ›› 2022, Vol. 41 ›› Issue (10): 1833-1845.doi: 10.18306/dlkxjz.2022.10.005
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YIN Jiangbin1,2(), ZHANG Qianqian1, LIN Sainan3,4,*(
), HUANG Xiaoyan1,2, QI Qi1
Received:
2022-01-18
Revised:
2022-07-14
Online:
2022-10-28
Published:
2022-12-28
Contact:
LIN Sainan
E-mail:yinjb@snnu.edu.cn;sainan.lin@whu.edu.cn
Supported by:
YIN Jiangbin, ZHANG Qianqian, LIN Sainan, HUANG Xiaoyan, QI Qi. Effects of capital endowment and urban context on opportunity entrepreneurship of migrants in urban China[J].PROGRESS IN GEOGRAPHY, 2022, 41(10): 1833-1845.
Tab.1
Definition and descriptive statistics of variables
层次 | 指标 | 定义 | 均值 | 标准差 |
---|---|---|---|---|
因变量 | 是否创业 | 就业身份为雇主=1;否则=0 | 0.06 | 0.23 |
自变量 | ||||
个体层 | 性别 | 男=1,女=0 | 0.56 | 0.50 |
年龄 | 单位:岁 | 35.50 | 9.52 | |
年龄的平方 | 个体年龄的平方 | |||
人力资本 | 受教育年限,未上过学=0、小学=6、初中=9、高中/中专=12、专科=15、本科及以上=16 | 10.52 | 3.25 | |
社会资本 | 2016年以来是否参加过家乡商会,是=1,否=0 | 0.04 | 0.19 | |
经济资本 | 家庭月收入(元) | 7543.62 | 6021.60 | |
城市层 | 人均GDP | 人均国内生产总值(元) | 71826.20 | 35085.90 |
劳动力市场分割 | 城市在岗职工平均工资与流动人口平均工资的比值 | 1.51 | 0.34 | |
人才可获得性 | 大学及以上学历人口占总人口的比重(%) | 14.00 | 6.30 | |
交通通达性 | 基于各等级公路的城市间平均最短时间距离(min) | 420.90 | 116.20 |
Tab.2
Variance component of variables in the unconditional means model (model 1)
参数 | 跨省流动 | 省内跨市 | 市内跨县 | |||||||
---|---|---|---|---|---|---|---|---|---|---|
方差 | 标准误 | 方差 | 标准误 | 方差 | 标准误 | |||||
截距 | -2.818 | 0.064 | -2.914 | 0.061 | -2.986 | 0.060 | ||||
随机效果 | ||||||||||
城市之间变异 | 0.687 | 0.062 | 0.610 | 0.066 | 0.541 | 0.062 | ||||
个体之间变异 | 3.290 | 3.290 | 3.290 | |||||||
组间相关系数(ICC) | 0.173 | 0.156 | 0.141 | |||||||
城市样本量 | 256 | 256 | 236 | |||||||
个体样本量 | 49590 | 35572 | 18047 |
Tab.3
Multilevel logistic regression results for entrepreneurial decision
层次 | 变量 | 模型2 | 模型3 | |||||
---|---|---|---|---|---|---|---|---|
跨省流动 | 省内跨市 | 市内跨县 | 跨省流动 | 省内跨市 | 市内跨县 | |||
个体层 | 性别 | 0.294*** | 0.309*** | 0.437*** | 0.297*** | 0.309*** | 0.436*** | |
年龄 | 0.253*** | 0.234*** | 0.207*** | 0.253*** | 0.233*** | 0.207*** | ||
年龄的平方 | -0.003*** | -0.003*** | -0.003*** | -0.003*** | -0.003*** | -0.003*** | ||
人力资本 | -0.027*** | -0.031*** | 0.003 | -0.027*** | -0.031*** | 0.004 | ||
社会资本 | 0.944*** | 0.656*** | 0.526*** | 0.942*** | 0.655*** | 0.527** | ||
经济资本 | 1.456*** | 1.655*** | 1.680*** | 1.459*** | 1.660*** | 1.692*** | ||
城市层 | 人均GDP | -0.464*** | -0.365*** | -0.370** | ||||
劳动力市场分割 | 0.829*** | 0.151 | 0.141 | |||||
人才可获得性 | 0.562 | 0.419 | 0.204 | |||||
交通通达性 | -0.002 | -0.001 | 0.020 | |||||
常数项 | -20.794*** | -21.815*** | -22.031*** | -16.916*** | -17.467*** | -18.025*** | ||
随机 效应 | 城市之间变异 | 0.783 | 0.523 | 0.612 | 0.702 | 0.477 | 0.559 | |
对数似然值 | -9644.1 | -6321.5 | -3253.1 | -9624.9 | -6312.9 | -3244.5 | ||
Wald chi2 | 2463.5 | 1494.0 | 746.9 | 2480.7 | 1512.0 | 757.3 | ||
Prob > chi2 | P<0.0001 | P<0.0001 | P<0.0001 | P<0.0001 | P<0.0001 | P<0.0001 | ||
个体样本量 | 49590 | 35572 | 18047 | 49590 | 35572 | 18047 |
Tab.4
Results of cross-level interaction effects for entrepreneurial decision
变量 | 跨省流动 | 省内跨市 | 市内跨县 | |||||||
---|---|---|---|---|---|---|---|---|---|---|
系数 | 标准误 | 系数 | 标准误 | 系数 | 标准误 | |||||
人力资本*人均GDP | -0.060*** | 0.022 | -0.034 | 0.026 | -0.005 | 0.031 | ||||
人力资本*劳动力市场分割 | -0.018 | 0.033 | 0.040 | 0.037 | 0.003 | 0.051 | ||||
人力资本*人才可获得性 | -0.312*** | 0.115 | 0.353** | 0.139 | 0.001 | 0.001 | ||||
人力资本*交通通达性 | 0.003 | 0.003 | 0.001 | 0.004 | 0.003 | 0.008 | ||||
社会资本*人均GDP | 0.448** | 0.194 | 0.410 | 0.299 | -0.267 | 0.389 | ||||
社会资本*劳动力市场分割 | 0.149 | 0.302 | 0.913* | 0.472 | -1.129 | 0.695 | ||||
社会资本*人才可获得性 | 0.144 | 1.073 | 1.437 | 1.598 | 1.124* | 0.005 | ||||
社会资本*交通通达性 | -0.036 | 0.032 | 0.028 | 0.053 | 0.105 | 0.104 | ||||
经济资本*人均GDP | 0.148 | 0.110 | -0.285** | 0.141 | -0.034* | 0.179 | ||||
经济资本*劳动力市场分割 | -0.248 | 0.167 | -0.158 | 0.218 | -0.191 | 0.265 | ||||
经济资本*人才可获得性 | -1.316** | 0.596 | 0.419 | 0.788 | 0.001 | 0.002 | ||||
经济资本*交通通达性 | -0.040** | 0.017 | -0.010 | 0.024 | -0.044 | 0.044 | ||||
常数项 | -18.387*** | 11.325 | -5.134*** | 1.419 | -20.019 | 17.626 | ||||
个体变量 | 是 | 是 | 是 | |||||||
城市变量 | 是 | 是 | 是 | |||||||
城市之间变异 | 0.690 | 0.065 | 0.444 | 0.061 | 0.559 | 0.065 | ||||
对数似然值 | -9593.2 | -6301.2 | -3244.5 | |||||||
Wald chi2 | 2518.8 | 1532.8 | 757.3 | |||||||
Prob > chi2 | P<0.0001 | P<0.0001 | P<0.0001 | |||||||
个体样本量 | 49590 | 35572 | 18047 |
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