scholarly journals Republic of Moldova

2019 ◽  
Vol 19 (284) ◽  
Author(s):  

With the support of the International Monetary Fund’s (IMF’s) European Department (EUR), the IMF’s Statistics Department (STA) conducted a financial soundness indicators (FSIs) technical assistance (TA) mission in Chisinau, Moldova, during March 18 29, 2019, to improve Moldova’s FSI compilation. The mission was financed by Netherlands Capacity Development Partnership Program. The mission worked with staff of the National Bank of Moldova (NBM) (i) to review available source data for deposit takers (DTs) and other sectors including other financial corporations (OFCs); and (ii) to review the current FSIs compiled by the NBM with a view to ensure methodological consistency of the FSI compilation with the IMF’s FSI Compilation Guide 2006 (FSI Guide). In collaboration with staff of the NBM, the mission delivered these objectives and agreed with the authorities on an action plan to improve FSIs in Moldova. The improvement of FSIs contributes to enhancement of policy analysis and decision-making by the NBM.

2020 ◽  
Vol 20 (30) ◽  
Author(s):  

A monetary and financial statistics (MFS) technical assistance (TA) mission visited Nairobi, Kenya, during December 3–14, 2018.1 The main objectives of the mission were to work with staff of the Central Bank of Kenya (CBK) to (i) review the implementation of the recommendations made by the MFS mission in January 2017; (ii) review the expanded coverage of the standardized report form for other depository corporations (SRF 2SR) including savings and credit cooperatives (SACCOs), microfinance banks (MFBs), and money market funds (MMFs); (iii) review the standardized report form for other financial corporations (SRF 4SR) comprising insurance companies and pension funds; (iv) review the adequacy of the available data for the remaining institutions in the other financial corporations (OFCs) subsector and adaptation of reporting forms to allow the expansion of the coverage of SRF 4SR; and (v) provide three-day training on the compilation of MFS for staff of the CBK and other financial sector regulatory authorities. In collaboration with staff of the CBK, the mission delivered these objectives and agreed with the authorities on an action plan to improve MFS in Kenya. The improvement of MFS contributes to enhancement of policy analysis and decision-making by the CBK.


2019 ◽  
Vol 19 (234) ◽  
pp. 1
Author(s):  

In response to a request of the Central Bank of Djibouti (CBD), a mission from the International Monetary Fund’s (IMF’s) Statistics Department (STA) visited Djibouti during March 4-11, 2018, to provide technical assistance (TA) on the financial soundness indicators (FSIs). The main objectives of the mission were to: (1) ensure that the source data were adequate for the compilation of the FSIs; (2) assist the CBD in the compilation of the FSIs on the basis of the international standards set out in the IMF’s Financial Soundness Indicators Compilation Guide (FSI Guide); (3) guide the staff of the CBD in the preparation of the FSI metadata in line with the IMF metadata forms; and (4) agree with the Banking Supervision Unit (BSU) on an action plan for the production of the FSIs and their regular reporting to STA.


2020 ◽  
Vol 20 (323) ◽  
Author(s):  

The International Monetary Fund’s (IMF’s) Statistics Department (STA) provided technical assistance (TA) on financial soundness indicators (FSI) to the National Bank of Ethiopia (NBE) during June 15-July 10, 2020. The TA mission took place in response to a request from the authorities, with the support of the IMF’s African Department (AFR). Due to the COVID-19 pandemic and travel restrictions, the mission was conducted remotely via video conferences. The mission worked with the staff of the NBE on the development of FSIs that are in line with the IMF’s 2019 FSI Guide.1 The main objectives of the mission were to: (i) review the source data, institutional coverage, and accounting and regulatory frameworks supporting the compilation of FSIs; (ii) provide guidance for mapping source data for the banking sector to the FSI reporting templates FS2 and FSD as well as preparing the metadata; and (iii) agree with the authorities on the timeline to begin regular reporting of the FSIs for deposit-takers to STA. The mission also provided technical assistance to the NBE on the compilation of net open positions in foreign currencies.


2020 ◽  
Vol 20 (174) ◽  
Author(s):  

As part of the IMF’s Data for Decisions (D4D) Trust Fund Project, a technical assistance (TA) mission was conducted by John Joisce and Dario Florey, IMF Experts, during September 23–October 4, 2019, to help the authorities of the Republic of Moldova in developing sectoral financial accounts and financial balance sheet statistics (FABS). The mission was the follow up to the mission held in December 2018, and evaluated the progress made since the last mission against the objectives set out in the action plan. The mission worked principally with the National Bank of Moldova (NBM), but also had meetings with officials from the Ministry of Finance (MOF), the Central Securities Depository (CSD), the National Commission for Financial Markets (NCFM) and the National Bureau of Statistics of the Republic of Moldova (NBS).


2020 ◽  
Vol 20 (240) ◽  
Author(s):  

In response to a request from the European Department, a Public-Sector Debt Statistics (PSDS) technical assistance (TA) mission was conducted in Chisinau during October 2–8, 2019. The mission funded by the Data for Decisions (D4D) multi-donor trust fund and followed up on a D4D Public Sector Debt Statistics (PSDS) workshop held in Vienna, Austria during July 2019, where participants from Moldova identified data gaps with current compilation of debt statistics. The mission primarily worked with the Ministry of Finance (MOF) Public Debt Department (PDD), but also had discussions with the Budget and Treasury Department. Outside the MOF, the mission had meetings with the Public Property Agency (PPA), the Municipality of Chisinau and the National Bank of Moldova (NBM). Finally, the mission also held a joint meeting with representatives of a separate IMF TA Mission on sectoral accounts with Treasury and attended the concluding meeting of that mission with the NBM.


2019 ◽  
Vol 19 (268) ◽  
Author(s):  

Technical assistance (TA) missions were conducted by Mr. Hendrik Tillmann-Zorn, an IMF short-term government finance statistics (GFS) expert, during the period March 12–16, 2018, followed by remote capacity development through December 17–22, 2018.1 The missions aimed to support the Malaysian authorities in improving government finance statistics (GFS) for decision making. The mission was part of the second three-year government finance statistics (GFS) capacity development project funded by the government of Japan (JSA). The mission met with officials from the Ministry of Finance (MOF), the Bank Negara Malaysia (BNM), the Department of Statistics Malaysia (DOSM), and the Accountant General’s (AG) Department.


2019 ◽  
Vol 19 (269) ◽  
Author(s):  

A technical assistance (TA) mission was conducted by Mr. Hendrik Tillmann-Zorn, an IMF short-term Government Finance Statistics (GFS) expert, during the period of March 4–8, 2019, to support the Malaysian authorities in improving GFS for decision making. The mission was prepared through a remote support mission in the period December 17–22, 2018. The missions were part of the second three-year GFS capacity development project funded by the Government of Japan (JSA).1 The mission met with officials from the Ministry of Finance (MOF), the Department of Statistics Malaysia (DOSM), and the Accountant General’s (AG) Department. The mission would like to thank the staff of the national institutions for their courtesy and willingness to share their knowledge with the mission. It is especially grateful to the staff of the MOF for their assistance in organizing the mission (see Appendix I for the list of officials met during the mission).


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Samantha Hollingworth ◽  
Ama Pokuaa Fenny ◽  
Su-Yeon Yu ◽  
Francis Ruiz ◽  
Kalipso Chalkidou

Abstract Background Countries in Sub-Saharan Africa (SSA) are moving towards universal health coverage. The process of Health Technology Assessment (HTA) can support decisions relating to benefit package design and service coverage. HTA involves institutional cooperation with agreed methods and procedural standards. We systematically reviewed the literature on policies and capacity building to support HTA institutionalisation in SSA. Methods We systematically reviewed the literature by searching major databases (PubMed, Embase, etc.) until June 2019 using terms considering three aspects: HTA; health policy, decision making; and SSA. We quantitatively extracted and descriptively analysed content and conducted a narrative synthesis eliciting themes from the selected literature, which varied in study type and apporach. Results Half of the 49 papers identified were primary research studies and mostly qualitative. Five countries were represented in six of ten studies; South Africa, Ghana, Uganda, Cameroon, and Ethiopia. Half of first authors were from SSA. Most informants were policy makers. Five themes emerged: (1) use of HTA; (2) decision-making in HTA; (3) values and criteria for setting priority areas in HTA; (4) involving stakeholders in HTA; and (5) specific examples of progress in HTA in SSA. The first one was the main theme where there was little use of evidence and research in making policy. The awareness of HTA and economic evaluation was low, with inadequate expertise and a lack of local data and tools. Conclusions Despite growing interest in HTA in SSA countries, awareness remains low and HTA-related activities are uncoordinated and often disconnected from policy. Further training and skills development are needed, firmly linked to a strategy focusing on strengthening within-country partnerships, particularly among researchers and policy makers. The international community has an important role here by supporting policy- relevant technical assistance, highlighting that sustainable financing demands evidence-based processes for effective resource allocation, and catalysing knowledge-sharing opportunities among countries facing similar challenges.


2020 ◽  
pp. 089443932098012
Author(s):  
Teresa M. Harrison ◽  
Luis Felipe Luna-Reyes

While there is growing consensus that the analytical and cognitive tools of artificial intelligence (AI) have the potential to transform government in positive ways, it is also clear that AI challenges traditional government decision-making processes and threatens the democratic values within which they are framed. These conditions argue for conservative approaches to AI that focus on cultivating and sustaining public trust. We use the extended Brunswik lens model as a framework to illustrate the distinctions between policy analysis and decision making as we have traditionally understood and practiced them and how they are evolving in the current AI context along with the challenges this poses for the use of trustworthy AI. We offer a set of recommendations for practices, processes, and governance structures in government to provide for trust in AI and suggest lines of research that support them.


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