菲律宾东米沙鄢地区贫困发生率和道路网络的空间分析

Q3 Multidisciplinary Philippine Journal of Science Pub Date : 2023-05-11 DOI:10.56899/152.04.01
Hernan Pantolla, Nelda Atibagos-Nacion
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引用次数: 0

摘要

贫穷是菲律宾普遍面临的挑战。通过菲律宾统计局的小区域估计(SAE),确定了贫困城市和贫困家庭的直辖市。一些地区也容易受到自然灾害的影响,资源有限。2018年SAE报告显示,东米沙鄢群岛地区是该国最贫穷的地区之一。此外,该地区容易受到自然灾害的影响,尤其是台风。对于较贫穷的城市来说,区域公路网的连接程度也较低。因此,缓慢的经济增长是一个共同的结果。为了为政府机构和人道主义组织提供一个基于证据的潜在优化资源配置框架,以应对这些因自然灾害而加剧的贫困问题,本文使用地理信息系统(GIS)来简化可视化和可解释性。空间分析也用于[1]确定该地区是否存在不同时期的贫困集群,[2]是否存在最新SAE的贫困发生率热点。研究结果表明,SAE前四个时期的贫困发生率具有显著的非随机聚集性。此外,在统计上确定了不同置信度的贫穷热点。这些热点地区也容易受到频繁台风的影响,而且通往国道的通道有限。此外,自举回归表明,作为减少贫困发生率的指标,扩大道路网络可以促进经济增长。因此,这项研究进一步强调了数据驱动的决策的重要性,特别是在消除贫穷的努力中,包括一些加剧贫穷的外部因素,如自然灾害。鉴于资源有限,还建议采用经验方法制订和改进政策,特别是与基础设施投资和扩建有关的政策。它还强调了该区域的道路网络如何有助于促进经济进步,特别是在交通不便的地区。
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Spatial Analysis of Poverty Incidence and Road Networks in Eastern Visayas Region, Philippines
Poverty is a prevailing challenge in the Philippines. Through the small area estimation (SAE) of the Philippine Statistics Authority, the poor cities and municipalities with poor households were identified. Some locations are also vulnerable to natural calamities and have limited resources. The 2018 SAE shows that the region of Eastern Visayas is one of the poorest in the country. Moreover, the region is vulnerable to natural hazards, particularly typhoons. The regional road network is also less connected for the poorer municipalities. Hence, slow economic growth is a concerted outcome. To provide an evidence-based framework on potentially optimized resource allocation of, say, government institutions and humanitarian organizations in countering these poverty concerns exacerbated by natural calamities, this paper used the geographical information system (GIS) for easier visualization and interpretability. Spatial analyses were also applied to [1] determine if clusters of poverty exist in the region across different periods and [2] if hot spots of poverty incidence exist in the latest SAE. The findings reveal that poverty incidence for all four previous periods of SAE has significant non-random clusters. In addition, poverty hot spots, at varying confidence levels, were statistically identified. These hot spots are also vulnerable to frequent typhoons and have limited access to national roads. Additionally, the bootstrap regression shows that economic growth could be boosted by expanding road networks as an indicator of decreased poverty incidence. This study, thus, further emphasizes the importance of data-driven decision-making, particularly in efforts to counter poverty, including some of its aggravating external factors such as natural calamities. The application of empirical methods in formulating and improving policies, especially those related to infrastructure investments and expansions, is also recommended, given the limited resources. It also highlights how road networks in the region could be instrumental in promoting economic progress, particularly in less accessible areas.
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来源期刊
Philippine Journal of Science
Philippine Journal of Science Multidisciplinary-Multidisciplinary
CiteScore
1.20
自引率
0.00%
发文量
55
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