Narrow Your Choices

Refine By Topic

Refine By Series

Refine By Language

Refine By Date

—

Refine By IMF Taxonomy

Refine By JEL Taxonomy

Refine by LOC Taxonomy

Refine By THEMA Taxonomy

  • Print
  • Save

Middle East and Central Asia > Qatar

You are looking at 1 - 10 of 33 items for :

  • Type: Journal Issue x
Clear All Modify Search
Cover Selected Issues Papers
Building a Knowledge-Based Economy to Boost Growth: The Role of Export Diversification in Qatar
Ken Miyajima
Motivated by Qatar’s Third National Development Strategy, this note discusses ingredients for boosting export diversification and growth potential. Drawing on cross-country experiences and empirical analyses, we shed light on how successful policies supported building human capital and economic complexity, the type of strategy that could best suite Qatar's circumstances, and pitfalls to avoid.
Keywords:
Economic complexity; export diversification; human capital; innovation; Qatar; Third National Development Strategy; suite Qatar's circumstances; based economy; goods export; lessons Qatar; Korea's export mix; Exports; Comparative advantage; Export performance; Middle East; Eastern Europe; Europe; Global
Cover IMF Staff Country Reports
Qatar: 2024 Article IV Consultation-Press Release; Staff Report; and Statement by the Executive Director for Qatar
International Monetary Fund. Middle East and Central Asia Dept.
Growth normalization after the 2022 FIFA World Cup continued with signs of activities strengthening more recently. Fiscal and external surpluses softened mainly due to lower hydrocarbon prices. Banks are healthy but pockets of vulnerabilities remain. Reform momentum has strengthened, guided by the Third National Development Strategy (NDS3).
Keywords:
Qatar national; holdings of SDR; Qatari economy well; headline inflation; hydrocarbon price; Anti-money laundering and combating the financing of terrorism (AML/CFT); Public sector; Capital spending; Global
Cover IMF Working Papers
Enhancing IMF Economics Training: AI-Powered Analysis of Qualitative Learner Feedback
Andras Komaromi
,
Xiaomin Wu
,
Ran Pan
,
Yang Liu
,
Pablo Cisneros
,
Anchal Manocha
, and
Hiba El Oirghi
The International Monetary Fund (IMF) has expanded its online learning program, offering over 100 Massive Open Online Courses (MOOCs) to support economic and financial policymaking worldwide. This paper explores the application of Artificial Intelligence (AI), specifically Large Language Models (LLMs), to analyze qualitative feedback from participants in these courses. By fine-tuning a pre-trained LLM on expert-annotated text data, we develop models that efficiently classify open-ended survey responses with accuracy comparable to human coders. The models’ robust performance across multiple languages, including English, French, and Spanish, demonstrates its versatility. Key insights from the analysis include a preference for shorter, modular content, with variations across genders, and the significant impact of language barriers on learning outcomes. These and other findings from unstructured learner feedback inform the continuous improvement of the IMF's online courses, aligning with its capacity development goals to enhance economic and financial expertise globally.
Keywords:
IMF Economics training; measuring training impact; learner feedback; application of artificial intelligence; learner satisfaction; Artificial intelligence; Machine learning; Information systems and platforms; Automation; Sub-Saharan Africa; Western Hemisphere; Middle East and Central Asia; Europe; Asia and Pacific
Cover IMF Staff Country Reports
Singapore: 2024 Article IV Consultation-Press Release; Staff Report; and Statement by the Executive Director for Singapore
International Monetary Fund. Asia and Pacific Dept
The 2024 Article IV Consultation with Singapore highlights that following a slowdown in 2023, growth is projected to recover gradually to 2.1 percent in 2024. After reaching 6.1 percent in 2022, inflation has steadily declined to 2.7 percent in April 2024. The pace of disinflation has nonetheless been gradual, with signs of persistent price pressures including from a tight labor market. With risks to global growth now broadly balanced, downside risks to growth outlook have diminished relative to last year, but Singapore remains vulnerable to a deepening of geo-economic fragmentation. Inflation risks remain tilted to the upside. The broadly neutral fiscal stance relative to 2023 will complement the tight monetary policy stance in achieving price stability, while targeted support to vulnerable households and firms will provide temporary relief from high costs of living and business. Singapore’s financial sector remains resilient with solid capital and liquidity buffers, though vigilance against pockets of vulnerabilities is warranted, including from potential systemic risks arising from the housing market. In this context, the tight macroprudential policy stance remains appropriate.
Keywords:
article IV consultation discussion; FSAP update; Singapore economy; CPI-All Items inflation; disinflation trend; Labor markets; Inflation; Artificial intelligence; Liquidity requirements; Global; Asia and Pacific
Cover IMF Working Papers
The Green Future: Labor Market Implications for Men and Women
Naomi-Rose Alexander
,
Longji Li
,
Jorge Mondragon
,
Sahar Priano
, and
Marina Mendes Tavares
This study examines the green transition's effects on labor markets using a task-based framework to identify jobs with tasks that contribute, or with the potential to contribute, to the green transition. Analyzing data from Brazil, Colombia, South Africa, the United Kingdom, and the United States, we find that the proportion of workers in green jobs is similar across AEs and EMs, albeit with distinct occupational patterns: AE green job holders typically have higher education levels, whereas in EMs, they tend to have lower education levels. Despite these disparities, the distribution of green jobs across genders is similar across countries, with men occupying over two-thirds of these positions. Furthermore, green jobs are characterized by a wage premium and a narrower gender pay gap. Our research further studies the implications of AI for the expansion of green employment opportunities. This research advances our understanding of the interplay between green jobs, gender equity, and AI and provides valuable insights for promoting a more inclusive green transition.
Keywords:
Labor Market Transition; Climate Change; Employment; narrower gender pay gap; wage premium; job holder; employment share; Gender inequality; Artificial intelligence; Women; Global
Cover Staff Discussion Notes
Broadening the Gains from Generative AI: The Role of Fiscal Policies
Fernanda Brollo
,
Era Dabla-Norris
,
Ruud de Mooij
,
Daniel Garcia-Macia
,
Tibor Hanappi
,
Li Liu
, and
Anh D. M. Nguyen
Generative artificial intelligence (gen AI) holds immense potential to boost productivity growth and advance public service delivery, but it also raises profound concerns about massive labor disruptions and rising inequality. This note discusses how fiscal policies can be employed to steer the technology and its deployment in ways that serve humanity best while cushioning the negative labor market and distributional effects to broaden the gains. Given the vast uncertainty about the nature, impact, and speed of developments in gen AI, governments should take an agile approach that prepares them for both business as usual and highly disruptive scenarios.
Keywords:
Artificial intelligence; AI; technological change; labor market; fiscal policy; social protection systems; tax systems; IMF Staff Discussion Note SDN2024/002; gen AI; advance public service delivery; role of fiscal policies; replacement ratio; job displacement; income support; tax treatment; market power; Labor markets; Corporate income tax; Automation; Capital income; Global
Cover Selected Issues Papers
2022 FIFA World Cup: Economic Impact on Qatar and Regional Spillovers
Aidyn Bibolov
,
Ken Miyajima
,
Sidra Rehman
, and
Tongfang Yuan
Qatar hosted the 2022 FIFA World Cup (WC) successfully and took the opportunity to further develop its non-hydrocarbon economy. Near-term contributions to Qatar’s economy, from visitors’ spending and WC-related broadcasting revenue, of up to 1 percent of GDP was comparable to cross-country experiences. The event generated positive regional economic spillovers as a sizeable share of spectators stayed in and commuted from neighboring GCC countries. Longer-term contributions were significant—the large investment in general infrastructure ahead of the WC drove much of the non-hydrocarbon sector’s growth in the past decade. The high-quality infrastructure and global visibility brought by the WC should be leveraged to further promote diversification and achieve the National Vision 2030.
Keywords:
Economic diversification; economic transformation; Qatar; structural reform; FIFA World Cup; broadcasting revenue; Qatar's economy; WC spectator; World Cup broadcasting right; Public investment spending; Capital spending; Production growth; Spillovers; Tourism; Global; Asia and Pacific
Cover Selected Issues Papers
From HydroCarbon to Hightech: Mapping the Economic Transformation of Qatar
Chandana Kularatne
,
Ken Miyajima
, and
Dirk V Muir
Qatar’s state-led, hydrocarbon intensive growth model has delivered rapid growth and substantial improvements in living standards over the past several decades. Guided by the National Vision 2030, an economic transformation is underway toward a more dynamic, diversified, knowledge-based, sustainable, and private sector-led growth model. As Qatar is finalizing its Third National Development Strategy to make the final leap toward Vision 2030, this paper aims to identify key structural reforms needed, quantify their potential impact on the economy, and shed light on the design of a comprehensive reform agenda ahead. The paper finds that labor market reforms could bring substantial benefits, particularly reforms related to increasing the share of skilled foreign workers. Certain reforms to further improve the business environment, such as improving access to finance, could also have large growth impact. A comprehensive, well-integrated, and properly sequenced reform package to exploit complementarities across reforms could boost Qatar’s potential growth significantly.
Keywords:
Economic diversification; economic transformation; Qatar; structural reform; sequenced reform package; growth model; growth impact; Qatari small and medium-sized enterprises; emission reduction target; private sector development; Labor market reforms; Labor force participation; Women; Climate finance; Global
Cover IMF Staff Country Reports
Qatar: Selected Issues
International Monetary Fund. Middle East and Central Asia Dept.
This Selected Issues paper aims to identify key reforms to accelerate Qatar’s economic transformation, estimate their impact, and shed light on the design of a comprehensive reform agenda. This paper starts by taking stock of Qatar’s progress in key reforms so far, identifying areas for further improvement, proposing structural reform measures, estimating the impact of key proposed reforms, and providing principles on the prioritization and sequencing of reforms. Qatar’s state-led, hydrocarbon intensive growth model has delivered rapid growth and substantial improvements in living standards over the past several decades. Guided by the National Vision 2030, an economic transformation is underway toward a more dynamic, diversified, knowledge-based, sustainable, and private sector-led growth model. The paper finds that labor market reforms could bring substantial benefits, particularly reforms related to increasing the share of skilled foreign workers. Certain reforms to further improve the business environment, such as improving access to finance, could also have large growth impact. A comprehensive, well-integrated, and properly sequenced reform package to exploit complementarities across reforms could boost Qatar’s potential growth significantly.
Keywords:
FIFA World cup; International Monetary Fund Washington, d.c; World Cup contribution; labor market dynamics; key reform; Labor market reforms; Labor force participation; Women; Climate finance; Global
Cover IMF Working Papers
Labor Market Exposure to AI: Cross-country Differences and Distributional Implications
Carlo Pizzinelli
,
Augustus J Panton
,
Ms. Marina Mendes Tavares
,
Mauro Cazzaniga
, and
Longji Li
This paper examines the impact of Artificial Intelligence (AI) on labor markets in both Advanced Economies (AEs) and Emerging Markets (EMs). We propose an extension to a standard measure of AI exposure, accounting for AI's potential as either a complement or a substitute for labor, where complementarity reflects lower risks of job displacement. We analyze worker-level microdata from 2 AEs (US and UK) and 4 EMs (Brazil, Colombia, India, and South Africa), revealing substantial variations in unadjusted AI exposure across countries. AEs face higher exposure than EMs due to a higher employment share in professional and managerial occupations. However, when accounting for potential complementarity, differences in exposure across countries are more muted. Within countries, common patterns emerge in AEs and EMs. Women and highly educated workers face greater occupational exposure to AI, at both high and low complementarity. Workers in the upper tail of the earnings distribution are more likely to be in occupations with high exposure but also high potential complementarity.
Keywords:
Artificial intelligence; Employment; Occupations; Emerging Markets; impact of artificial intelligence; exposure to AI; labor market exposure; employment share; educated worker; Labor markets