Local Indicators of Spatial Association (LISA) of Indonesian Workers Against Indonesian Economic Growth

Caroline Caroline, FX. Sugiyanto, A. Kurnia, S. Irwandi
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Abstract

The ASEAN Economic Community which has taken place since 2015 has had an impact on the liberalization of labor flows towards Indonesia's economic growth. The large number of labor migration entering Indonesia will have an impact on the disruption of Indonesia's economic stability. Less employment in Indonesia encourages Indonesian workers to work abroad to seek high wages and welfare. This will worsen the condition of Indonesia's economic growth. The aim of this study is to analyze patterns of Local Indicators of Spatial Association (LISA) of Indonesian Workers against Indonesian Economic Growth.This research was conducted with a period of 2004-2015 or 12 years. Selection of a range of time periods is carried out by considering the limitations of the data used in the study. Samples of this study include the ASEAN member countries: Indonesia, Malaysia, The Philippines, Thailand, Singapore, Brunei, Vietnam, Laos, Myanmar, and Cambodia. Description of variables used per capita GDP (PDRBC), capital stock (capital), average length of school (RLS), life expectancy (AHH), workforce (L), Indonesian Workers (TKI), Foreign Workers (TKA).              This study uses the Euclidean Distance approach  to calculate the spatial weight matrix in calculating the Local Indicators of Spatial Association (LISA). The results of empirical research indicate that Indonesia's economic growth in 2004 and Indonesian economic growth in 2015 are located in quadrant III, LL (Low-Low) which shows that Indonesia as a country with a characteristic of low economic growth that interacts spatially with a country with low economic growth. Moran’s scatterplot portrays that Indonesian capital 2004 and 2015 are in the position of capital I, HH (High-High) which shows countries with high characteristics of capital interacting spatially with countries with high capital. The country in quadrant I is Indonesia. The results of empirical research show that Indonesia, which is originally in 2004 with a characteristic workforce that interacted spatially with a country with a large workforce, turns out that in 2015 it is photographed that Indonesia is with a workforce that has many spatial interactions with countries with low labor force.
印尼工人对印尼经济增长的空间关联的地方指标(LISA)
2015年成立的东盟经济共同体对印尼经济增长的劳动力流动自由化产生了影响。大量劳动力移民进入印尼将对印尼经济稳定的破坏产生影响。印尼就业减少促使印尼工人到国外工作,以寻求高工资和福利。这将使印尼的经济增长状况恶化。本研究的目的是分析印尼工人空间关联(LISA)的地方指标对印尼经济增长的影响模式。这项研究是在2004-2015年或12年的时间内进行的。考虑到研究中使用的数据的局限性,选择了一系列的时间段。本研究的样本包括东盟成员国:印度尼西亚、马来西亚、菲律宾、泰国、新加坡、文莱、越南、老挝、缅甸和柬埔寨。使用的变量描述:人均GDP (PDRBC)、资本存量(capital)、平均上学时间(RLS)、预期寿命(AHH)、劳动力(L)、印尼工人(TKI)、外国工人(TKA)。本文在计算空间关联局部指标(LISA)时,采用欧几里得距离法计算空间权重矩阵。实证研究结果表明,印度尼西亚2004年和2015年的经济增长位于象限III, LL (low - low),这表明印度尼西亚作为一个具有低经济增长特征的国家与低经济增长国家在空间上相互作用。Moran的散点图描绘了印度尼西亚2004年和2015年的资本处于资本I, HH (high - high)的位置,这表明资本特征高的国家与资本特征高的国家在空间上相互作用。象限一的国家是印度尼西亚。实证研究结果表明,印尼从2004年的劳动力特征与劳动力大国的空间互动转变为2015年的劳动力特征与低劳动力大国的空间互动。
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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