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Lesson
Accessibility of healthcare data in Azerbaijan needs to be improved. Reports from the Ministry of Health Care are not publicly available on its website. In addition, the State Agency for Mandatory Health Insurance considers healthcare information to be highly sensitive. Accordingly, this information is not contained on its website. Information related to daily coronavirus infections and vaccinations was released publicly. It would be useful for the agency to disseminate gender, age, and region-disaggregated information to the public.

Project Number: 55073-001
Project Name: COVID-19 Active Response and Expenditure Support Program
Report Date:
Lesson
Sex-disaggregated data need to be accurate and usable for in-depth analyses to support policy development and program planning and implementation. The government has increased its focus on gender equality and has made significant progress on gender data tracking and transparency. Although there are a few publicly available national resources, they lack qualitative information.

Project Number: 55073-001
Project Name: COVID-19 Active Response and Expenditure Support Program
Report Date:
Lesson
Insufficient up-to-date macroeconomic data on government websites, which could hinder timely and effective planning especially during crisis periods, needs to be rectified. The State Statistical Committee (SSC) has numerous macroeconomic indicators on its website. However, in most cases, very recent data are missing. International organizations such as ADB, the IMF and the World Bank release forecasts of macroeconomic indicators for upcoming years, and SSC should consider following the same approach.

Project Number: 55073-001
Project Name: COVID-19 Active Response and Expenditure Support Program
Report Date:
Lesson
Inavailability of data could hinder the achievement of a project's intended results. While gender data was available in major programs like the Emergency Subsidy Program, such data was unavailable for others. Of the six outputs in the gender monitoring matrix, two were not achieved as the following data were unavailable: (i) the number of micro, small, and medium enterprise beneficiaries under the small business wage subsidy program and those registered to women; and (ii) thenumber of micro, small, and medium enterprises that benefited from tax relief and those registered to women

Project Number: 54138-001
Project Name: COVID-19 Active Response and Expenditure Support Program
Report Date:
Lesson
Data collection, which took longer than anticipated under the CARES program, need to be expedited in future emergency responses. Data collection challenges experienced under CARES included (i) competing priorities, (ii) need to cover many different agencies, and (iii) need to collect data remotely. In some cases, the same dataset was collected from multiple sources and agencies, necessitating cross checking and verification and requiring considerable time and resources.

Project Number: 54195-001
Project Name: COVID-19 Active Response and Expenditure Support Program
Report Date:
Lesson
Difficulties with data accentuated problems that included health targets, such as the vaccine rollout. Although testing rates had reached World Health Organization targets by August 2021, it was not clear that the national average testing rate applied uniformly at the provincial level.

Project Number: 54139-001
Project Name: COVID-19 Active Response and Expenditure Support Program
Report Date:
Lesson
Outcome objectives did not directly link to policy actions and to outputs and therefore were not attained. If the outcome objectives are not closely linked to outputs and are overly ambitious, it is difficult to achieve a satisfactory outcome.

Project Number: 51059-001, 51059-002
Project Name: Improved Fiscal and Infrastructure
Management Program
Report Date:
Lesson
Comprehensive and disaggregated enterprise-level data are needed to effectively support micro, small, and medium-sized enterprises (MSMEs) in times of crisis. The absence of a real-time disaggregated financial data collection system at the beneficiary level made it difficult to timely track the status of business recovery of affected MSMEs. The dataset collected and used in reports on MSME lending did not include comprehensive disaggregated enterprise-level data from the start, making it impossible to assess the inclusiveness of the concessional lending.

Project Number: 54184-001
Project Name: COVID-19 Active Response and Expenditure Support Program
Report Date:
Lesson
Data interoperability facilitates beneficiary targetting in times of crisis. Difficulty in consolidating data between federal, provincial, and local-level governments and between sectors affected program implementation and progress monitoring. While Nepal’s social security programs each identify and register beneficiaries, there is no central register for poor and vulnerable populations. Hence, the ward officials identified food support beneficiaries, which led to implementation challenges.

Project Number: 54184-001
Project Name: COVID-19 Active Response and Expenditure Support Program
Report Date:
Lesson
The use of build-back-better technologies with climate resiliency determined at project design such as sheet piling increase the service life of the infrastructure, even if this increases the project costs. Prior to implementation, the subproject’s economic analysis needs to explore and evaluate alternative technologies under a build-back-better objective.

Project Number: 49038-001
Project Name: Flood Emergency Reconstruction and Resilience Project
Report Date:
Lesson
Long-term partnerships between government and key development partners are essential for supporting macroeconomic management Pacific small island economies. Partnerships provide a framework for on-going policy dialogue and coordination of support, which facilitates the government’s role in macroeconomic management and provides a foundation to support sustainable development (program-level lesson)

Project Number: 52073-001
Project Name: Improving Public Investment Management Program
Report Date:
Lesson
Lack of readily available and measurable social and economic data can limit the scope of the design and monitoring framework (DMF). The CPRO loan supported 12 schemes of the PMGKY program, which extended insurance cover for health workers, cash transfers, food and fuel transfers, and employment guarantees.. However, the DMF included only eight schemes for monitoring as part of the CPRO loan because specific results and performance Indicators could not be devised during appraisal considering the urgency of the requirement for assistance.

Project Number: 54182-001
Project Name: COVID-19 Active Response and Expenditure Support Program
Report Date:
Lesson
Limited baseline data could lead to unrealistic performance Indicators and targets. Because this was ADB’s first TVET grant project in Timor-Leste, which introduced a new area of formalized skills development, baseline data for the targets were limited. This led to some unrealistic performance Indicators and targets. For example, the number of students and trainers to be trained appeared to be modest, whereas the target of 65% of graduates to find employment within 3 months of graduation was overambitious.

Project Number: 45139-001
Project Name: Mid-Level Skills Training Project
Report Date:
Lesson
Challenges encountered in the implementation of the COVID-19 Rapid Response Program highlight concerns that ADB need to address in future similar projects.

Project Number: 54174-001
Project Name: COVID-19 Rapid Response Program
Report Date:
Lesson
A high degree of borrower’s commitment and accountability is crucial to project implementation and success. The capacity of the borrower and agencies to provide timely response and adequate support from start-up to completion are critical in overcoming implementation challenges. It is crucial that agencies help in ensuring timeliness and availability of sufficient support to reduce any unnecessary delays.

Project Number: 38560-022
Project Name: Second Rural Water Supply and Sanitation Sector Project
Report Date: