Population Growth versus Job Generation: Addressing Economic Disparity in the Philippines

Isa Pab Geen P Gue, Rea Rita R. Muegue, D. M. T. Saniel
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Abstract

Economic disparity, inequality, and poverty have been central when examining the challenges of employment generation, better quality of employment, and decent way of life. This study explores the possible dynamics from an economic perspective resulting from the job-seeking behaviour of the graduates and job generation. Changes in the characteristics of the work location areas shows a variation in the number of areas each job seeker looks at when choosing a place that optimizes the jobseeker’s utility and the options of employment created in the country. The research paper utilized the NetLogo, a multi- agent programming language and modeling environment for simulating complex natural and social phenomena. Specifically, the Economic Disparity NetLogo Model simulates the Philippine context using the socio-economic status of the agents to determine how their preferences for choosing a location to live impacts on employment conditions. In the study, the work location area is affected by variations in the two factors, Factor A being the number of location each job seeker looks at when choosing a place that optimizes the jobseeker’s utility, and Factor B being the number of places of employment created in the country. Four scenarios are simulated by the model when the two factors are set at low or high levels to determine the time for a job location to become saturated. The variation of the factors created four scenarios. Scenarios B and D with large job seeker population and more places of employment created took 28 years to reach job saturation point. Scenarios A and C with a small jobseeker population and few places of employment created took 11 years. In all scenarios, the saturation point reached 14 ticks.
人口增长与创造就业:解决菲律宾的经济差距
在研究创造就业、提高就业质量和体面生活方式的挑战时,经济差距、不平等和贫困一直是核心问题。本研究从经济角度探讨了大学生求职行为与就业产生之间可能的动态关系。工作地点区域特征的变化表明,每个求职者在选择最有利于求职者的工作地点和该国创造的就业机会时,所考虑的区域数量有所不同。本文利用NetLogo这一多智能体编程语言和建模环境来模拟复杂的自然和社会现象。具体来说,经济差异NetLogo模型利用代理人的社会经济地位模拟了菲律宾的背景,以确定他们选择居住地点的偏好如何影响就业条件。在这项研究中,工作地点的面积受到两个因素的影响,因素A是每个求职者在选择一个能优化求职者效用的地方时所考虑的地点数量,因素B是一个国家创造的就业地点数量。当这两个因素被设置为低或高水平时,模型模拟了四种情况,以确定工作地点达到饱和的时间。这些因素的变化产生了四种情况。B和D两种情况下,大量的求职者和更多的就业机会需要28年才能达到就业饱和点。A和C两种情况下,求职者人数少,创造的就业机会很少,需要11年时间。在所有场景中,饱和点都达到了14个刻度。
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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