Identifying local needs for post-disaster recovery in Nepal

He, Lulu

doi:10.1016/j.worlddev.2019.02.005

Cited by 30 publications

(18 citation statements)

References 33 publications

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“…Since the earthquake, many rural and remote households faced additional landslides during monsoon season 25 . The relationship we found represents how secondary risks like landslides accumulate pre-existing vulnerabilities of exposed Nepali communities, putting them at greater risk to immediate damage, leading to long-term displacement, and hindering regaining of livelihood 15,26 .…”

Section: Hazard Exposurementioning

confidence: 88%

“…An example in Nepal would be the eligibility survey for the household reconstruction grant, which inadequately addressed landslide risks 8 . The reconstruction grant later prioritized reconstruction 35 over resettlement plans that were desired by some communities and would have addressed this landslide risk 26 . In addition, much of the NGO activity supporting reconstruction was concentrated in high damage areas, or near the epicenter in Gorkha, though work was also required in areas with chronic social vulnerability that received less media attention 37 .…”

Section: Discussionmentioning

confidence: 99%

“…In the years after the 2015 earthquake, affected communities faced multiple aftershocks, yearly flooding during the monsoon months, and landslides. These ongoing risks mean that Nepal is in a constant cycle of recovery from previous disasters 26 .…”

Section: Study Areamentioning

confidence: 99%

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Beyond building damage: estimating and understanding non-recovery following disasters

Loos¹,

Lallemant²,

Khan³

et al. 2021

Preprint

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Following a disaster, crucial decisions about recovery resources often focus on immediate impact, partly due to a lack of detailed information on who will struggle to recover. Here we perform an analysis of surveyed data on reconstruction and secondary data commonly available after a disaster to estimate a metric of non-recovery or the probability that a household could not fully reconstruct within five years after an earthquake. Analyzing data from the 2015 Nepal earthquake, we find that non-recovery is associated with a wide range of factors beyond building damage, such as ongoing risks, population density, and remoteness. If such information were available after the 2015 earthquake, it would have highlighted that many damaged areas have differential abilities to reconstruct due to these factors. More generally, moving beyond damage data to evaluate and quantify non-recovery will support effective post-disaster decisions that consider pre-existing differences in the ability to recover.

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Section: Hazard Exposurementioning

confidence: 88%

Section: Discussionmentioning

confidence: 99%

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Beyond building damage: estimating and understanding non-recovery following disasters

Loos¹,

Lallemant²,

Khan³

et al. 2021

Preprint

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“…Economic recovery: In general, recovery of livelihood (local business) after a disaster is the main concern of the researchers when it comes to economic reestablishment (Guo 2012;Di Gregorio and Soares 2017;Edgington 2017;Sadiqi, Trigunarsyah and Coffey 2017;Vahanvati and Mulligan 2017;Celentano et al 2019;Harrowell and Özerdem 2019;He 2019;Xu et al 2019). Within the same context, Han (2014) proposed "Sustainable Livelihood Analyzing" to boost a community's capabilities to cope with disasters.…”

Section: Social Recovery (Humanity)mentioning

confidence: 99%

A conceptual framework for integrated management of Post-Natural Disasters Recovery (PNDR) projects

Bahmani

Wei

2021

Preprint

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Following the increasing rate of natural disasters, more attention is being paid to post-natural disaster reconstruction projects. However, from the perspective of project management, these projects show a significant degree of differences from the regular construction projects. Although some progress has been made on this topic, further research is needed to smooth pathways for the management of Post-Natural Disaster Recovery (PNDR) projects. This paper provides a management framework for PNDR projects throughout the qualitative analysis of the research's selected resources. The resources identified by applying inclusion and exclusion criteria in academic online platforms have been coded by NVivo 2020, and corresponding groups have been made for PNDR life-cycle and project stages. An integrated management framework has been put forward throughout the simultaneous application of the research's suggested life-cycle and project stages for PNDR projects. The most significant observation of this study is the necessity of applying a continuous life-cycle to address projects' long-term goals and provide an experience-based database for the management of next natural disasters. The significant role of planning in the entire life-cycle of PNDR projects, recognition of the tasks that need to be handled continuously during entire PNDR projects, the necessity of simultaneous consideration of tangible and intangible recovery outcomes are the other findings of this study. Recognition of reconstruction as part of the bigger system, named recovery, also stressed the necessity of considering the recovery project as a whole.

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“…Such manual identification and tracking system not only delayed the response program but also increase the potentiality of non-vulnerable making an entry of their name into the list of impacted and vulnerable families Before COVID-19 period as well, there were many occasions where data was the key requirement based on which Government could have planned and responded but did not do so. Some of the noticeable events includes identification of earthquake affected families, flood affected families, identification of person with disabilities, tracking of individual receiving grants, scholarships, and subsidies, tracking on income generated through informal sector, tracking of individual falling under social protection services (Gaire et al, 2015;He, 2019;Sharma et al, 2019).…”

Section: Gap In Existing Statistical Management Practicesmentioning

confidence: 99%

The Need for Integrated Statistical Management Policy <em>(Progressive Step towards Digital Nepal)</em>

Thapa¹

2021

Preprint

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Statistical management policy and system plays significant role in development of any nation as it guides the planner to analyze the gaps, design programs and allocate budget in efficient manner. Globally, design and usage of statistical management system varies relying on country specific ability and resources availability. Government of Nepal has been managing database in individual as well as thematic manner. Policy wise, thematic database is in operation based on Statistics Act 1958 and individual database is in operation based on Birth, Death and Other Personal Related Events Registration Act 1976. Though civil registration related policies have been either updated or newly formed, sectoral statistic management related policy has not been updated since its first promulgation period (1958). With no policy supporting the consolidated statistical management system, government as well as non-government agencies has been investing millions of dollars annually to collect, compile and analyze individual related data and fulfill their respective objectives. It has forced the government services and performance to be paper-based, time-consuming and tedious thus creating dis-trust among citizen each passing day. Though, formulation of legal instrument promoted digital movement and mandated shift towards e-government modality, the process has been low. Theoretically, Technology Acceptance Model (TAM) state the need of having advanced and efficient technology to be in place in current setting to improve governance, efficiency, accountability, transparency and trust. Also, the same theory state the requirement of strong willingness and motivation from the users (government, non-government and citizen) to adopt the technology based policy and system. As the integrated statistical management policy emphasizes on technology-based system or digital system, the perspectives of Technology Acceptance Model also termed as Information System Theory aid in understanding the context, conceptualizing and addressing the needs with an establishment and implementation of digital system or technology based system. This policy paper applied the Technology Acceptance Model (TAP) to examine the underlying opportunities and challenges associated with an integrated statistical management policy. With existing gaps in existing policy, system and practice alongside an overview of opportunities and challenges, this paper recommends the need of stand-alone integrated statistical management policy to consolidate sectoral as well as civil related information through single system based on recommended policy.

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Identifying local needs for post-disaster recovery in Nepal

Cited by 30 publications

References 33 publications

Beyond building damage: estimating and understanding non-recovery following disasters

Beyond building damage: estimating and understanding non-recovery following disasters

A conceptual framework for integrated management of Post-Natural Disasters Recovery (PNDR) projects

The Need for Integrated Statistical Management Policy <em>(Progressive Step towards Digital Nepal)</em>

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