印尼城市天然气行业的暗流与劳动力的缓和

A. Prima, H. Pramadika, M. Maulani, A. Ristawati, W. Dahani, Prana Ugiana Gio
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引用次数: 0

摘要

在研究任何公司或行业在长期稳定增长中应该持续实现的里程碑时,持续动态作为观察对象。这同样适用于天然气分销部门或被称为城市天然气。年复一年的数据变化继续描绘了印度尼西亚城市天然气部门的增长趋势。这项特别研究的目的是更好地了解印度尼西亚的城市天然气分配部门,并更清楚地了解为优化向印度尼西亚城市分配天然气必须考虑的一些潜在变量。本研究使用的方法是结构方程法(SEM)。在更具体的描述中,路径分析是由多元回归发展而来的,用于分析指标与潜在变量之间的相关性,从而确定多元回归模型的有效性。仍然与研究方法相关,通过对印度尼西亚中央统计局发布的数据进行整理,并将2010-2020年期间城市燃气配送公司指标的数据分组,分为收入、工人人数、工资、城市燃气配送量和运营相关成本。这项工作的结果是为当局和其他利益相关者提供投入,以优化印度尼西亚天然气分销部门的增长。本研究的价值或独创性在于揭示具有调节变量地位的潜在变量的影响。研究局限性-由于未披露的原始数据不可访问性和有限的数据可用性,假设从印度尼西亚中央统计局获得的数据有效地描述了印度尼西亚城市天然气分销部门的解释变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Undercurrent Indonesia’s City Gas Sector with the Moderating Work Forces
The continues dynamics as the object of observation in studying the milestones that any company or industry should consistently achieve in long-term growth expected to be stable. The same applies to the natural gas distribution sector or known as city gas. The movement of data from year to year continues to depict an increasing trend with regard to the city gas sector in Indonesia. The objective of this particular study is to provide a better understanding of the city gas distribution sector in Indonesia and to provide a clearer picture of a number of latent variables that must be accommodated to optimize the distribution of natural gas to cities in Indonesia. The methodology used in this study is the Structured Equation Method (SEM). In a more specific description, path analysis developed from multivariate regression is used to analyze the correlation between indicators and latent variables so as to determine the validity of the multiple regression model. Still related to the research method, by sorting the data collection released from the Indonesian Central Statistics Agency and grouping data from indicators of city gas distribution companies during the period 2010-2020 divided into income, number of workers, wages, the volume of city gas distributed, and costs associated with operations. The results of this work are to provide input to the authorities and other stakeholders in order to optimize the growth of Indonesia's gas distribution sector. The value or originality of this study is to reveal the impact of latent variables that have the status of moderating variables. Study limitations - Due to the inaccessibility of non-disclosure primary data and limited data availability, it is assumed that the data obtained from the Indonesian Central Statistics Agency is valid to describe the explanatory variables of the city gas distribution sector in Indonesia.
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