Relationships between Labour Demand and Resource Factors for Textile and Garment Industry in Thailand

K. Leerojanaprapa, K. Bhundarak
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引用次数: 1

Abstract

This article aims to forecast and compare labor demand in textile industry represented by fiber manufacturing companies (ISIC CODE 13111) and in garment industry represented by the manufacturer of work wear (ISIC CODE 14111) in Thailand. Secondary data were acquired from the Department of Industrial Works where registered companies submitted their essential data and obtained the approval permit in doing business during 2015. Complete data from 494 textile companies and 656 garment companies are implemented in Multiple Regression Analysis. This research defined eight independent variables: Land capital (X1), Buildings capital (X2), Machinery capital (X3), Working capital (X4), Factory area (X5), Building area (X6), Horsepower (X7), and Type of manufacturer (X8). The results from the study revealed that 63.09% of labor demand variation for textile manufacturers can be explained by Y = 28.6246 + 0.0180X7 0.0004 X5 + 0.0081X6 + 0.0004X4 0.0002X3 while 51.50% of the labor demand variation for garment manufacturers can be explained by Y = 116.86 + 0.006X2+ 0.004X5 109.748X8 + 0.008X6 + 0.040X7 + 0.001X4.
泰国纺织服装业劳动力需求与资源要素的关系
本文旨在预测和比较泰国以纤维制造公司(ISIC CODE 13111)为代表的纺织行业和以工作服制造商(ISIC CODE 14111)为代表的服装行业的劳动力需求。辅助数据是从工业工业部获得的,注册公司在那里提交了基本数据,并获得了2015年开展业务的批准许可。对494家纺织企业和656家服装企业的完整数据进行多元回归分析。本研究定义了8个自变量:土地资本(X1)、建筑资本(X2)、机械资本(X3)、营运资本(X4)、工厂面积(X5)、建筑面积(X6)、马力(X7)和制造商类型(X8)。研究结果表明,63.09%的纺织企业劳动力需求变化可以用Y = 28.6246 + 0.0180X7 0.0004 X5 + 0.0081X6 + 0.0004X4 0.0002X3来解释,而51.50%的服装企业劳动力需求变化可以用Y = 116.86 + 0.006X2+ 0.004X5 109.748X8 + 0.008X6 + 0.040X7 + 0.001X4来解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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