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The Factor Analysis that Influence the Employment Absorption at Songket Industry in Palembang-South Sumatra Province, Indonesia

机译:影响苏格兰南苏门答腊省嵩渡产业就业吸收的因素分析

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The population growth in the country of Indonesia is getting old is not diminishing but is growing. Palembang is one of metropolitan city in Indonesia. The number of people unemployed in this city is quite a lot. Unemployment is generally caused because the labor force is not proportional to the number of jobs that can absorb them. Many companies in Palembang is also be a benchmark of employment absorption and reduce the unemployment number of processing industry into sectors are relied for the expansion of job creation. Especially, in the branches of labor-intensive industries. The problem of the industry certainly is not only directed to the large and medium industries, but the attention that commensurate must also be directed at small industries and households that many found in the countryside. The small industries and households have played an important role in the national economy. This research aimed to analyze the factors that affecting employment absorption in the songket industry in Palembang. There are four variables that affecting employment absorption in the convection industry, i.e., capital, sales volume, level of education, and level of wage. Data analysis technique is used in this research is multiple regression analysis. This analysis technique is used to determine how far influence the capital, volume of sales, the level of education and the level of wage on employment absorption. These results indicate that the variable of education level has a very high impact on employment absorption. For variable of sales volume and wage levels have a high impact on employment absorption.
机译:在印尼是年纪大了该国的人口增长没有减少,而是增加。巨港是大都市在印尼的一个。的人失业这个城市的数量是相当多的。失业率通常造成的,因为劳动力是不成正比的,可以吸收他们的作业数。许多公司在巨港也成为吸收就业的一个标杆,降低加工行业的失业人数到部门都依靠创造就业机会的扩大。特别是在劳动密集型产业的分支。当然该行业的问题并非仅仅针对于大中型的行业,但关注的是相称也必须在小工业和家庭中被引导,在农村许多人发现。小工业和家庭中都发挥在国民经济中具有重要作用。本研究旨在分析,影响在松革行业在巨港就业吸收的因素。有四个变量,影响对流产业就业吸纳,即资本,销量,受教育程度和工资水平。在这项研究中使用的数据分析技术多元回归分析。这种分析技术来确定多远影响资本,销售量,教育水平和工资对就业的吸收水平。这些结果表明,受教育水平的变量对就业吸纳了非常高的冲击。对于可变销量和工资水平对就业的吸收有很大影响。

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