THE WORLD BANK GROUP has floated a tender for Collecting Household Survey Data to Measure the Impact of Floods on Household Welfare. The project location is Dominican Republic and the tender is closing on 22 Aug 2019. The tender notice number is 1263995, while the TOT Ref Number is 35314306. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.

Expired Tender

Procurement Summary

Country : Dominican Republic

Summary : Collecting Household Survey Data to Measure the Impact of Floods on Household Welfare

Deadline : 22 Aug 2019

Other Information

Notice Type : Tender

TOT Ref.No.: 35314306

Document Ref. No. : 1263995

Competition : ICB

Financier : World Bank (WB)

Purchaser Ownership : -

Tender Value : Refer Document

Purchaser's Detail

Purchaser : THE WORLD BANK GROUP
Attn: Ms. Christina Malmberg Calvo Calle Virgilio Díaz Ordoñez #36 esq. Gustavo Mejía Ricart Edificio Mezzo Tempo, Suite 401 4ta. Planta, Santo Domingo Tel: (809) 566-6815 Fax: (809) 566-7746, 566-7189
Dominican Republic
Email :cmalmbergcalvo@worldbank.org
URL :http://www.worldbank.org/do

Tender Details

Expression of Interest are invited for Collecting Household Survey Data to Measure the Impact of Floods on Household Welfare in the Dominican Republic.

The World Bank is seeking a firm to carry out a geo referenced household survey to contribute to analysis of floods risks and household welfare in the Dominican Republic. The survey instrument will collect data on the living standards, the perceptions of flood risks, and adaption to floods in the country. The consulting firm will work closely with the World Bank team to develop the appropriate sampling frame and methods, and will have responsibility to deliver survey implementation, including, inter alia: identifying and training enumerators and supervisors; pilot testing the survey methodology using the agreed upon data collection technology; and ensuring quality control through effective arrangements for field supervision and data collection and household follow-ups. Deliverables will include clean and formatted survey data, a data codebook in English, and written reports.

Qualification Criteria

· 1. Expertise in field work required for large scale surveys in Dominican Republic, particularly experience working with rigorous official (government or academic) data essential *

· 2. Experience in implementing household surveys with CAPI

· 3. Provide information on their core business and years in business.

· 4. undefined

* - Mandatory

Shortlisted consultants will be invited to respond to a Request for Proposal. Contract awards will be made in accordance with the World Bank Group Procurement Policies and Procedures.

Terms of Reference
Firm Consultancy
Collecting household survey data to measure the impact of floods on household welfare in the Dominican Republic

Project background
Globally, poor households tend to be more exposed and more vulnerable to adverse natural events making their recovery more difficult. To avoid poverty traps created by disaster and climate-related events, it is important to gain a better understanding of the impact of natural disasters on the poor: (i) the predisposition of poor households to reside in high hazard areas and (ii) the increased exposure of people living in areas affected by recurrent adverse natural events. It-s also important to understand that adverse natural events have short- and long-term effects on affected households.
Through this study we seek to improve our understanding of how exposure to adverse climate events - whether or not they materialize into a disaster - can lead to over-diversification of economic activity or disincentivizing investment and saving, thus reducing they opportunities to overcome poverty. Reducing the risk and the perception of risk for individuals living in hazard-prone areas may lead to more forward-looking planning, long-term capital investments, and entrepreneurship. Successful disaster risk management interventions have indirect and long-term benefits which go beyond avoided asset losses in the aftermath of a disaster. The triple dividend of disaster risk management (DRM) interventions refers to the direct benefits of avoided asset losses and the indirect benefits which materialize even in the absence of new adverse natural events and spillover creating and incentivizing local economic activity (ODI, et al, 2015). Quantifying the indirect benefits could enable us to quantify the added value of DRM interventions. The findings and results developed from this project can help Team Task Leaders to fully showcase the benefits of DRM interventions as well as inputs for economic evaluation of a DRM project.
Due to its geographic location and geophysical conditions, the Dominican Republic is exposed to a wide range of adverse natural events comprising hydro-meteorological phenomena (i.e. hurricanes, tropical storms, flooding, drought) and geophysical hazards (i.e. earthquakes, landslides). In addition to this high level of exposure to natural hazards, the country presents a set of structural vulnerabilities influenced by unplanned urban growth, land degradation, and weak enforcement of building codes and zoning regulations.
Between 1967 and 2017, the losses caused by the seven most severe events in the Dominican Republic have been estimated at a total of US $ 8, 606 million (US$ of 2015). Of the events considered, Hurricanes David and Federico (1979) and Georges (1998) caused direct and indirect losses equivalent to 16% of the GDP of that year, and 14% of GDP, respectively. At the sectoral level, approximately half of the direct and indirect losses (50.7%) are concentrated in agriculture and transport. It is worth mentioning that there have been no severe seismic events in the period observed (1966-2017), which can have very different sectoral losses patterns (where, for example, the housing sector is usually the most affected).
Preliminary estimations by the WB for the DR using historical data from 2000-2012 show that extreme winds and rain events are associated with increases in poverty of around 2 percent.
The study will be carried out by implementing a household survey. The survey instrument will be prepared by a multidisciplinary World Bank team and the selected firm, in collaboration with relevant government counterparts in the Dominican Republic.

Methodology to estimate the impact of disasters (floods) on household welfare
Household data will be collected using CAPI and georeferenced, and household consumption expenditure will be estimated using the SWIFT methodology as a substitute for full consumption data, which is being collected by the Central Bank through a larger household budget survey (HBS). A set of 10-15 variables collected using SWIFT will be used to estimate consumption once the HBS data is available.
SWIFT (Survey of Well-being via Instant, Frequent Tracking) is a rapid poverty assessment tool. It can produce accurate poverty data through household expenditure and poverty data in a very timely, cost-effective and user-friendly manner.
Compared with a typical household consumption data collection, SWIFT is much faster and more cost-effective for producing consumption or income data and poverty statistics. This is because instead of collecting primary household consumption or income data, SWIFT collects only 10 to 15 questions on poverty-correlated variables, then projects household income or expenditure from them using a custom-built model, and estimates poverty and inequality statistics from the projected income or expenditure data. The poverty correlates typically include variables such as household size, household head-s educational attainment, household head-s employment status, ownership of consumer durables and housing conditions. This is much faster than a typical household consumption or income data collection.
More specifically, the methodology enables us to assess and monitor the following:
• Characteristics of households at risk and households particularly vulnerable to adverse natural hazards
• Direct losses of assets, income and consumption due to floods
• Indirect costs of living in risk-prone areas
• Behaviors associated with being exposed to risk, i.e. propensity to invest in business or housing
• Coping mechanisms and the efficiency of those to mitigate impact of floods
• Access to public DRM measures and other public services and their capacity to mitigate impact of floods
The SWIFT methodology allows us to analyze the impact of hazards on poverty by monitoring the following indicators:
• Poor and non-poor status of households
• Income quintiles


Objectives
The overall objective of the project is to support the World Bank, to better understand the relationship between flood risk and poverty in the Dominican Republic. The consultancy company assignment will be focused on floods impacts, behaviors and coping mechanisms in relation to household investment and risk mitigation, as well as measures of income loss and public sector involvement.
This study is looking to establish an empirical basis for how DRM policies and disaster awareness campaigns can contribute to poverty reduction.

Scope of work
The data collection will have three components:
• Component 1: Pilot to test the questionnaire. The sample size is 50 households, in at least one rural and one urban area, and one of the two should belong to the “high recurrence flood hazard” category defined below.
• Component 2: Sample design. Selection of primary sampling units (PSUs) using a map of flood recurrence prepared by the World Bank, and the estimation domains listed below. Listing of households in the selected PSUs and random selection of households that will be in the sample.
• Component 3: Household data collection (effective sample of 2, 000 households)

Survey implementation
The World Bank will designate an international expert to accompany and supervise the work of the selected firm. The World Bank has a draft questionnaire for this survey and welcomes comments from the selected firm to improve it.
Firms will need to present detailed plans for the following components:
• Sampling: based on the map prepared by the World Bank to identify the four (4) estimation domains listed below (the map will be transferred to the selected firm during contract negotiation), the firm will select primary sampling units (PSUs) in each of the domains, and will submit the selection to the World Bank for approval. The firm should specify the sampling frame that will be used for this project.
The estimation domains for this survey will have equal sample sizes for the following:
o Urban population (~500 households)
o Rural population (~500 households)
o High recurrence flood hazard (~500 households)
o Low recurrence flood hazard (~500 households)

The survey will be collected across the country.
• Detailed plan for the listing of households in the selected PSUs and the random selection of households
• Imp

Documents

 Tender Notice