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Middle East and Central Asia > Qatar

You are looking at 1 - 7 of 7 items for :

  • Type: Journal Issue x
  • Labor Force and Employment, Size, and Structure 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
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
Exposure to Artificial Intelligence and Occupational Mobility: A Cross-Country Analysis
Mauro Cazzaniga
,
Carlo Pizzinelli
,
Emma J Rockall
, and
Marina Mendes Tavares
We document historical patterns of workers' transitions across occupations and over the life-cycle for different levels of exposure and complementarity to Artificial Intelligence (AI) in Brazil and the UK. In both countries, college-educated workers frequently move from high-exposure, low-complementarity occupations (those more likely to be negatively affected by AI) to high-exposure, high-complementarity ones (those more likely to be positively affected by AI). This transition is especially common for young college-educated workers and is associated with an increase in average salaries. Young highly educated workers thus represent the demographic group for which AI-driven structural change could most expand opportunities for career progression but also highly disrupt entry into the labor market by removing stepping-stone jobs. These patterns of “upward” labor market transitions for college-educated workers look broadly alike in the UK and Brazil, suggesting that the impact of AI adoption on the highly educated labor force could be similar across advanced economies and emerging markets. Meanwhile, non-college workers in Brazil face markedly higher chances of moving from better-paid high-exposure and low-complementarity occupations to low-exposure ones, suggesting a higher risk of income loss if AI were to reduce labor demand for the former type of jobs.
Keywords:
Artificial intelligence; Employment; Occupations; Emerging Markets; AI adoption; college-educated worker; structural change; stepping-stone job; workers in Brazil; Labor markets; Wages; Labor force
Cover IMF Working Papers
Comparing the Employment-Output Elasticities of Expatriates and Nationals in the Gulf Cooperation Council
Mr. Alberto Behar
We estimate the elasticity of private-sector employment to non-oil GDP in the Gulf Cooperation Council (GCC) for GCC nationals and expatriates using a Seemingly Unrelated Error Correction (SUREC) model. Our results indicate that the employment response is lower for nationals, who have an estimated short-run elasticity of only 0.15 and a long-run response of 0.7 or less. The elasticity is almost unity for expatriates in the long run and 0.35 in the short run. We interpret low elasticities as indirect evidence of labor market adjustment costs, which could include hiring and firing rigidities, skills mismatches, and reluctance to accept private sector jobs. Forecasts suggest that, absent measures to reduce adjustment costs, the private sector will only be able to absorb a small portion of nationals entering the labor force.
Keywords:
WP; labor market; Employment Elasticities; Labor Market Adjustment Costs; GCC; Gulf Cooperation Council; Inclusive Growth; GCC country; employment growth; GCC employment; GCC labor market structure; employment response; growth forecast; employment elasticity; GCC elasticity; employment projection; employment-growth relationship; employment rigidity; GCC aggregate; Employment; Labor markets; Public employment; Labor force; Public sector; Middle East; Middle East and Central Asia; North Africa; East Africa; Global
Cover IMF Working Papers
Does Public-Sector Employment Fully Crowd Out Private-Sector Employment?
Mr. Alberto Behar
and
Mr. Junghwan Mok
We quantify the extent to which public-sector employment crowds out private-sector employment using specially assembled datasets for a large cross-section of developing and advanced countries, and discuss the implications for countries in the Middle East, North Africa, Caucasus and Central Asia. These countries simultaneously display high unemployment rates, low private-sector employment rates and high proportions of government-sector employment. Regressions of either private-sector employment rates or unemployment rates on two measures of public-sector employment point to full crowding out. This means that high rates of public employment, which incur substantial fiscal costs, have a large negative impact on private employment rates and do not reduce overall unemployment rates.
Keywords:
WP; private sector; private-sector employment; Employment; Crowding out; Middle East and Central Asia; employment rate; crowding-out effect; C. private-sector employment; employment dataset; MENAP country; outcomes in the MCD; MCD country; employment equation; MCD countries' employment data; CCA country; labor force; Public employment; Employment rate; Government debt management; Unemployment; Middle East
Cover IMF Working Papers
Emerging Strains in GCC Labor Markets
Mr. Ugo Fasano-Filho
and
Rishi Goyal
Unemployment pressures among nationals are emerging in the Cooperation Council for the Arab States of the Gulf (GCC). 2 At a time when a rapidly growing number of young nationals are entering the labor force and governments are no longer able to act as employers of first and last resort, the non-oil sector continues to rely on expatriate labor to meet its labor requirements in most GCC countries. In this environment, policymakers face the related challenges of addressing unemployment pressures while striking a balance between maintaining a liberal foreign labor policy and a reasonable level of competitiveness of the non-oil sector. Using a matching function framework, this paper examines labor market policies that are likely to expand the ability to hire nationals in the non-oil sector. It finds that an effective labor strategy should focus on strengthening investment in human capital, adopting institutional reforms, and promoting a vibrant non-oil economy.
Keywords:
WP; wage; private sector; GCC country; GCC countries; labor market policies; matching function framework; unemployment rate; reservation wage; wage bill; wage expectation; Labor markets; Wages; Employment; Labor force; Unemployment; Europe; Asia and Pacific
Cover GCC Countries
GCC Countries
From Oil Dependence to Diversification
Mr. Zubair Iqbal
and
Mr. Ugo Fasano-Filho

Abstract

This paper presents an overview of the unprecedented economic and social transformation witnessed by the member countries of the Cooperation Council of the Arab States of the Gulf (GCC)-Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates-over the last three decades.

Keywords:
MISC PUBS; Misc.; GCC country; GCC; country; state enterprise; government; GCC economy; GCC population; GCC countries' effort; GCC area; state enterprise reform; GCC member states; GCC workforce; Labor force; Employment; Privatization; Labor markets; Stock markets; Global