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Middle East and Central Asia > Qatar

You are looking at 1 - 10 of 11 items for :

  • Type: Journal Issue x
  • Human Capital; Skills; Occupational Choice; Labor Productivity x
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Cover Selected Issues Papers
Artificial Intelligence in Qatar: Assessing the Potential Economic Impacts
Tongfang Yuan
Qatar has been actively preparing to embrace the transformative potential of artificial intelligence (AI), allowing it to lead its Emerging Market peers in AI readiness. Qatar’s AI exposure has increased significantly over the years, and increasing AI adoption is assessed to yield more opportunities than risks for the country’s labor force, thanks to the private sector’s contribution in increasing jobs that are more likely to benefit from AI-driven productivity gains. Scenario analyses suggest that increasing AI adoption, supported by policy reforms to boost human capital, innovation and domestic knowledge spillovers, could generate sizeable labor productivity gains over the medium term.
Keywords:
Artificial Intelligence (AI); labor demand; productivity; skills; Qatar; AI adoption; productivity gain; Qatar's AI exposure; artificial intelligence in Qatar; potential of artificial intelligence; Labor force; Labor productivity; Global
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: Selected Issues
International Monetary Fund. Middle East and Central Asia Dept.
2024 Selected Issues
Keywords:
AI readiness; AI adoption; B. Qatar's progress; artificial intelligence in Qatar; innovation policy; Export diversification; Capital spending; Exports; Human capital; Global; Middle East; Eastern Europe; Europe
Cover IMF Working Papers
What Can Artificial Intelligence Do for Stagnant Productivity in Latin America and the Caribbean?
Bas B. Bakker
,
Sophia Chen
,
Dmitry Vasilyev
,
Olga Bespalova
,
Moya Chin
,
Daria Kolpakova
,
Archit Singhal
, and
Yuanchen Yang
Since 1980, income levels in Latin America and the Caribbean (LAC) have shown no convergence with those in the US, in stark contrast to emerging Asia and emerging Europe, which have seen rapid convergence. A key factor contributing to this divergence has been sluggish productivity growth in LAC. Low productivity growth has been broad-based across industries and firms in the formal sector, with limited diffusion of technology being an important contributing factor. Digital technologies and artificial intelligence (AI) hold significant potential to enhance productivity in the formal sector, foster its expansion, reduce informality, and facilitate LAC’s convergence with advanced economies. However, there is a risk that the region will fall behind advanced countries and frontier emerging markets in AI adoption. To capitalize on the benefits of AI, policies should aim to facilitate technological diffusion and job transition.
Keywords:
Artificial Intelligence (AI); Productivity Stagnation; Technological Innovation; Latin America; Caribbean; Economic Growth; Labor Productivity; Automation; Macroeconomic Impact; Digital Transformation; Cross-Country Analysis; Regional Development; Technology Adoption; Emerging Economies; Economic Policy.; difference AI; AI adoption; technology producer; AI's role; Artificial intelligence; Productivity; North America; Europe; Global; Asia and Pacific
Cover IMF Working Papers
The Labor Market Impact of Artificial Intelligence: Evidence from US Regions
Yueling Huang
This paper empirically investigates the impact of Artificial Intelligence (AI) on employment. Exploiting variation in AI adoption across US commuting zones using a shift-share approach, I find that during 2010-2021, commuting zones with higher AI adoption have experienced a stronger decline in the employment-to-population ratio. Moreover, this negative employment effect is primarily borne by the manufacturing and lowskill services sectors, middle-skill workers, non-STEM occupations, and individuals at the two ends of the age distribution. The adverse impact is also more pronounced on men than women.
Keywords:
Artificial intelligence; technology; labor; local labor markets; shift share; middle-skill worker; labor market impact; impact of artificial intelligence; employment effect; low-skill services sectors; Employment; Employment rate; Labor markets; Global
Cover Selected Issues Papers
Impact of AI on Singapore's Labor Market: Singapore
Shujaat A Khan
Singapore is well-prepared for AI adoption but stands highly exposed to the increasing use of artificial intelligence (AI) technologies in the workplace, due to a large share of skilled workforce. While half of the highly exposed segment of the labor force stands to benefit from the appropriate use of AI to complement their tasks, potentially boosting their productivity, the other half may face greater vulnerability to AI’s disruptive effects due to lower levels of AI complementarity. Estimates suggest that women and younger workers are more exposed to the effects of AI, which, in the absence of appropriate policies, could worsen income inequality in Singapore. Targeted training policies, leveraging on the existing SkillsFuture program, can harness AI's potential. Additionally, focused upskilling can mitigate the disruptive impact of AI on vulnerable workers.
Keywords:
AI exposure; AI complementarity; AI adoption; disruptive effect; impact of AI; Artificial intelligence; Labor markets; Labor force; Global
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 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 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 IMF Working Papers
High Performance Export Portfolio: Design Growth-Enhancing Export Structure with Machine Learning
Ms. Natasha X Che
and
Xuege Zhang
This paper studies the relationship between export structure and growth performance. We design an export recommendation system using a collaborative filtering algorithm based on countries' revealed comparative advantages. The system is used to produce export portfolio recommendations covering over 190 economies and over 30 years. We find that economies with their export structure more aligned with the recommended export structure achieve better growth performance, in terms of both higher GDP growth rate and lower growth volatility. These findings demonstrate that export structure matters for obtaining high and stable growth. Our recommendation system can serve as a practical tool for policymakers seeking actionable insights on their countries’ export potential and diversification strategies that may be complex and hard to quantify.
Keywords:
export diversification; comparative advantage; machine learning; collaborative filtering; economic growth; international trade; export structure; export portfolio recommendation; export recommendation system; performance export portfolio; export potential; Exports; Comparative advantage; Export diversification; Human capital; Total factor productivity; Global; East Asia