ABSTRACT

Understanding what determines a worker’s passion for skills training has important policy implications, particularly in the current context of the fourth industrial revolution, in which knowledge is deemed obsolete within several years. The purpose of this study is to answer a specific question: are higher-ability garment workers more likely to engage in industrial skills training? To do so, we use a dataset with a final sample of 787 garment workers in Cambodia. We apply logit and cluster-standard-error Ordinary Least Square regression with the intention to participate in skills training as a dependent variable on worker ability levels, which we constructed using a series of questions adapted from the OECD’s Program for the International Assessment of Adult Competencies. Holding other things constant such as education, we found that workers with more ability are more likely to participate in skills training, while worker income is not a significant predictor.

摘要

了解是什么决定了工人对技能培训的热情具有重要的政策意义，特别是在当前第四次工业革命的背景下，知识在几年内就被认为是过时的。本研究的目的是回答一个具体问题：能力较高的服装工人是否更有可能参加工业技能培训？为此，我们使用包含柬埔寨 787 名服装工人的最终样本的数据集。我们应用 logit 和聚类标准误差普通最小二乘回归，旨在将参加技能培训作为工人能力水平的因变量，我们使用改编自 OECD 成人能力国际评估计划的一系列问题构建了该模型。保持其他因素不变，例如教育，