乌兹别克斯坦劳动力迁移过程监管中的数字化措施

B. Islamov, Zulaykho Kadirova, Sulkhiya Gazieva
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引用次数: 0

摘要

现代乌兹别克斯坦具备利用数字化机遇支持劳务移民的有利条件。特别是,移动通信用户在最近3年里增加了近300万人。与乌兹别克斯坦共和国公民在国外进行临时劳动活动有关的进程,包括职业培训、再培训和技能提高。此外,接受财政支助措施、提供法律和社会支助以及外国雇主监测有关劳动合同的信息,促进了对海外劳工移徙过程的管制。目前的研究表明数字化进程对农民工工作绩效的影响。在数据收集方面,共向454个人提出了20个问题。观察到的变量分为14个二元变量,3个分类变量和3个数值变量。在计量分析的过程中,我们使用了多因素线性回归模型、SEM和验证性因子分析。结果在STATA 15.0软件中得到。OLS回归结果的充分性不是很稳健。在那里,我们在SEM模型中检验了我们的假设,在p<0.05水平上具有统计学意义。在变量中,有四个广义的潜在未观察变量。根据主成分分析(PCA)发现,数字技术(L2)为0.18个单位,移民收入(L3)为0.30个单位,劳动力移民(L3)为0.092个单位,移民调节(L1)为0.092个单位。根据Pearson两两相关检验,数字技术(L2)与劳动力流动(L3) 18%的关系在p<0.05水平上具有统计学意义,19%的关系具有显著性水平。经Cronbach-Alpha检验,模型的信度为31%,决定系数为52%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DIGITIZATION MEASURES IN THE REGULATION OF LABOR MIGRATION PROCESSES IN UZBEKISTAN
Modern Uzbekistan has favorable conditions for using digitization opportunities to support labor migrants. In particular, the number of mobile communication subscribers has increased by almost 3 million in the last three years. Processes related to the implementation of temporary labor activities of citizens of the Republic of Uzbekistan abroad, including vocational training and retraining and improvement of skills. Furthermore, receiving financial support measures, providing legal and social support, and foreign employers monitoring information on labor contracts promote regulation of labor migration processes abroad. Current research denotes the digitalization process's influence on labor migrant work performance. For data collection, it was asked 454 personally abroad 20 questions. As observed variables are classified into 14 binary variables, 3 categorical variables, and 3 numerical variables. In the process of econometric analysis, we used the multifactor linear regression model, SEM, and Confirmatory Factor Analysis. Results obtained in STATA 15.0 software. The adequacy of the OLS regression results was not so robust. There we tested our hypothesis in the SEM model which was quietly statistically significant in p<0.05 level. Among variables, there are four Latent unobserved variables generalized. According to the PCA, it was found that caused by 0.18-unit Digital technology (L2), 0.30-unit Income from migration (L3), and 0.092-unit Labor migrants (L3) Migration regulation (L1). According to the Pearson pairwise correlation test Digital technology (L2) and Labor migrants (L3) 18 percent relationship in p<0.05 level is statistically significant and 19 percent with significance level. According to the Cronbach-Alpha test, the reliability of the model is 31 percent and the coefficient of determination is 52 percent.
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