Adaptive strategies and transformation for community recovery – A case study of villages in Hinthada, Ayeyarwady Region, Myanmar

Otsuyama, Kensuke; Aung, Soe Pyae; Maki, Norio

doi:10.1016/j.ijdrr.2018.11.007

Cited by 3 publications

(1 citation statement)

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“…The empirical findings on village development which emphasize on institutional factors, transaction costs reduction, symmetrical information in all aspects of life, integrated village development based on its potential (such as tourism orientation), utilizing information technology and communication for productive activities, balance and sustainable environment, socio-cultural activities and village resource utilization has been carried out based on local economy orientation (Lai & Tang, 2016;Gao & Wu, 2017;Otsuyama et al, 2018;Hart, 2018;Emerick 2018;and Zhang et al,. 2019).…”

Section: Discussionmentioning

confidence: 99%

Do Non-Economic Factors Effect Village Fund?

2020

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The Government has enacted Law Number 6/2014 concerning Villages. One policy included in that Law is the provision of Village Funds (Dana Desa) in which its implementation can be investigated based on non-economic aspects. For this reason, this study aims to analyze the impact of non-economic factors on Village Funds disbursed in 29 districts in Central Java Province. These factors include population and the Human Development Index (HDI). While using secondary data from 2015-2017, this research employs a method using panel data with the best model known as the Fixed Effects Model (FEM). The FEM estimation results show that the population has a significant impact, while HDI's impact is not significant. Besides, the ratio between Village Funds and the population has a significant impact on Village Funds. Thus, both the Central and the Regional Government, as well as the Village Heads, should consider the population in allocating Village Funds. The contribution of this study is that the Government should formulate an appropriate policy for Village Funds allocation by considering non-economic factors in each village.JEL Classification: O10, O23, E62How to Cite:Ratwianingsih, L., Cahyadin, M., & Sutomo. (2020). Do Non-Economic Factors Affect Village Funds?. Signifikan: Jurnal Ilmu Ekonomi, Vol. 9(1), 93-106. doi: http://dx.doi.org/10.15408/sjie.v9i1.14056.

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Section: Discussionmentioning

confidence: 99%

Do Non-Economic Factors Effect Village Fund?

2020

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Typology of Human Mobility and Immobility for Disaster Risk Reduction: Exploratory Case Study in Hillsborough County, Florida

et al. 2021

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Spatial-Temporal Relations of Flood Risk and Its Potential Dynamic Pressures in Myanmar

Kyaw¹,

Tun²

2023

Natural Hazards - New Insights

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Despite multiple challenges, floods remain the most frequently occurring hazard in Myanmar. Current developments of political instability, multidimensional insecurity, and associated economic crisis have burdened the existing vulnerabilities and inequalities of the Burmese people and their ecosystems. Diminishing adaptive capacities of degraded ecosystems, poor infrastructure, and extreme poverty, together with major livelihood dependency on climate-sensitive agriculture, will further increase flood risk. Moreover, other hazards such as COVID-19, heatwaves, and droughts may exacerbate flood impacts leading to compound disasters. Understanding how and which factors drive flood risk, and where they distribute are important to reduce flood risk, address its root causes, and prevent future flood damages by lessening exposures, vulnerabilities, and even hazards. We aim to compare the spatial-temporal distributions between dynamic pressures and flood risk, and identify the spatial relations on a national scale and within floodplains. We draw on socio-ecological risk assessment, systematic review, time-series analysis and modified t-test after testing spatial auto-correlations of dynamic pressures and flood risk. Our results show that many socio-ecological dynamic pressures driven by economic- and governance-related root causes had positive spatial relationships with flood risks. We recommend effective land use and environmental governance that consider compound and cascaded flood risk and investment in public services and infrastructure such as health and education to reduce vulnerabilities and increase resilience of Myanmar people.

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Adaptive strategies and transformation for community recovery – A case study of villages in Hinthada, Ayeyarwady Region, Myanmar

Cited by 3 publications

References 4 publications

Do Non-Economic Factors Effect Village Fund?

Do Non-Economic Factors Effect Village Fund?

Typology of Human Mobility and Immobility for Disaster Risk Reduction: Exploratory Case Study in Hillsborough County, Florida

Spatial-Temporal Relations of Flood Risk and Its Potential Dynamic Pressures in Myanmar

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