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Middle East and Central Asia > Qatar

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Cover Policy Papers
The Managing Director's Global Policy Agenda, Annual Meetings 2024: Secure A Soft Landing And Break From The Low Growth–High Debt Path
International Monetary Fund. Strategy, Policy, & Review Department
The global economy has proven resilient, and a soft landing is within reach. Inflation has moderated thanks to tight monetary policy and fading supply shocks, and growth is expected to remain steady. But uncertainty remains significant, with risks tilted to the downside; medium-term growth prospects are lackluster; public debt has reached record highs and is expected to approach 100 percent of GDP by 2030; and geoeconomic fragmentation threatens to undo decades of gains from cross-border economic integration. At the same time, transformative changes—the green transition, demographic shifts, and digitalization, including artificial intelligence—are poised to reshape the global economy, creating challenges but also opportunities. Against this background, the key policy priorities are to secure a soft landing and break from the low growth-high debt path, and address other medium-term challenges. Monetary policy should ensure inflation returns durably to the target, and fiscal policy needs to decisively pivot toward consolidation to rebuild buffers and safeguard debt sustainability. Growth-enhancing reforms are urgently needed to lift growth prospects by boosting investment, job creation, and productivity. Domestic policies must be complemented by multilateral efforts to support countries with debt vulnerabilities, protect gains from economic integration, accelerate climate action, and harness benefits of new technologies while mitigating the risks. As it has done since its founding 80 years ago, the IMF will continue to adapt to serve its members with tailored policy advice, financial lifelines when needed, and capacity development. The Fund will remain a strong advocate for multilateralism and economic integration as foundations on which to build a resilient and inclusive global economy.
Keywords:
Artificial intelligence; Capital flows; Climate change; Debt sustainability; Digitalization; Economic integration; Inflation; Growth; Reforms; Integrated Policy Framework; Poverty reduction strategy; Revenue mobilization; break from the Low Growth-High Debt Path; secure a soft landing; Policy agenda; IMF staff measure; lending toolkit; Global
Cover IMF Staff Country Reports
Peru: Selected Issues
International Monetary Fund. Western Hemisphere Dept.
The Selected Issues paper focuses on productivity and growth in Peru. Firms have maintained smaller sizes to avoid the application of a profit-sharing legislation, which has resulted in lower productivity. After a decade of high economic growth averaging over 6 percent per year, potential growth has been falling since 2014. A much slower pace of investment and human has driven the decline capital accumulation, but most notably, a decline in total factor productivity growth. In line with the macroeconomic trends, firm-level productivity has worsened, and the decline has been broad-based across the economy. Special corporate tax regimes and labor legislations and regulations have created barriers to productivity growth. To raise productivity, policies will need to focus on reforming regulations that impose excessive costs to formalizing or growing a business. Down the line, introducing greater labor market flexibility would ensure that workers could transition to productive sectors of the economy and reduce labor informality.
Keywords:
El Niño shock; building RESILIENCE; B. Measuring productivity; B. artificial intelligence; total factor productivity growth; labor force complementarity; Climate change; Natural disasters; Productivity; Potential output; Artificial intelligence; Global; Caribbean
Cover Policy Papers
Review of the Fund’s Capacity Development Strategy—Towards a More Flexible, Integrated, and Tailored Model
International Monetary Fund. Institute for Capacity Development
Capacity Development (CD), comprising technical assistance and training, fosters economic development by improving human capital and institutions in member countries. Every five years, the IMF reviews its CD Strategy to ensure that CD continues to be of high quality and well-focused on the needs of its members. This review calls for CD to become more flexible, integrated with the Fund’s policy advice and lending, and tailored to respond to member needs. The review benefitted from the recent independent evaluation of the Fund’s CD and a wide range of inputs, including internal and external consultations, surveys of recipients and development partners, staff background studies and recommendations of an External Advisory Group. The vision for CD is informed by the Fund’s comparative advantages and surveillance priorities. The proposals of the current review center around the six key areas: (1) strengthening CD prioritization and integration; (2) enhancing the funding model; (3) strengthening monitoring and evaluation; (4) modernizing modalities; (5) enhancing field presence; and (5) strengthening human resources policies for staff working on CD.
Keywords:
Capacity Development; Technical Assistance; Training; Institution; Priorities; Evaluation; Impact; Field Presence; Regional Capacity Development Center; Background Papers; CD personnel structure; CD priority; CD financing initiative; CD Strategy Review; CD governance; CD integration; CD relative; CD partner; strategy review; CD model; CD efficiency; CD stabilization mechanism; Comparative advantage; Artificial intelligence; Revenue mobilization; Climate change; 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 IMF Staff Country Reports
Gulf Cooperation Council: Economic Prospects and Policy Challenges for the GCC Countries
International Monetary Fund. Middle East and Central Asia Dept.
This paper on the Gulf Cooperation Council (GCC) discusses economic prospects and policy priorities for the GCC countries. A comprehensive package of policies should be implemented to respond to near-term shocks and uncertainty and to firmly address medium- and long-term challenges. In the near term, fiscal policy should remain prudent, avoiding procyclical spending and using the windfall from higher oil prices to rebuild buffers. Targeted and temporary fiscal measures could be undertaken to respond to shocks, if they materialize. In the medium term, GCC countries should continue pursuing fiscal consolidation consistent with ensuring intergenerational equity and sustainability, supported by a credible rules-based medium-term fiscal framework. Continued financial sector reforms are needed to support growth and stability. Structural policies should continue focusing on diversifying the economies away from hydrocarbon. Reform efforts aimed at further enhancing product market regulations, labor markets, and governance will spur growth, as will efficient investments in digital and green initiatives to accelerate transformation and support energy transition. The industrial policy should be carefully calibrated and not substitute for structural reforms while minimizing related inefficiencies.
Keywords:
Gulf Cooperation Council; GCC Countries; OPEC; GCC country; centrality indices; policies in the GCC; GCC net; GCC's acceleration; financial market; Inflation; Oil prices; Climate finance; Financial statements; Global; Middle East
Cover Finance & Development
Finance & Development, September 2023
International Monetary Fund. Communications Department
Finance & Development, September 2023
Keywords:
UN medium-fertility scenario; IMF-World Bank Annual Meetings; climate debt; IMF photo; Mars mission project manager; Climate change; Climate finance; Greenhouse gas emissions; Remittances; Artificial intelligence; Global; Middle East; North Africa; Africa; East Africa
Cover IMF Working Papers
How Nations Become Fragile: An AI-Augmented Bird’s-Eye View (with a Case Study of South Sudan)
Tohid Atashbar
In this study we introduce and apply a set of machine learning and artificial intelligence techniques to analyze multi-dimensional fragility-related data. Our analysis of the fragility data collected by the OECD for its States of Fragility index showed that the use of such techniques could provide further insights into the non-linear relationships and diverse drivers of state fragility, highlighting the importance of a nuanced and context-specific approach to understanding and addressing this multi-aspect issue. We also applied the methodology used in this paper to South Sudan, one of the most fragile countries in the world to analyze the dynamics behind the different aspects of fragility over time. The results could be used to improve the Fund’s country engagement strategy (CES) and efforts at the country.
Keywords:
Fragile and Conflict-Affected States; Fragility Trap; Fragility Syndrome; Machine Learning; Artificial Intelligence; AI technique; fragility data; Bird's-Eye View; artificial intelligence technique; aggregate fragility; Artificial intelligence and machine learning; Global; Middle East; North Africa; South Asia; Sub-Saharan Africa
Cover IMF Working Papers
Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects
Tohid Atashbar
and
Rui Aruhan Shi
The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and bounded rationality. In this paper, after a theoretical introduction to deep reinforcement learning and various DRL algorithms, we provide an overview of the literature on deep reinforcement learning in economics, with a focus on the main applications of deep reinforcement learning in macromodeling. Then, we analyze the potentials and limitations of deep reinforcement learning in macroeconomics and identify a number of issues that need to be addressed in order for deep reinforcement learning to be more widely used in macro modeling.
Keywords:
Reinforcement learning; Deep reinforcement learning; Artificial intelligence, RL; DRL; Learning algorithms; Macro modeling; RL algorithm overview; trust region policy optimization; DRL algorithm; decision process; RL algorithm; Machine learning; Artificial intelligence; Debt relief; General equilibrium models; Global
Cover IMF Working Papers
Structural Breaks in Carbon Emissions: A Machine Learning Analysis
Jiaxiong Yao
and
Mr. Yunhui Zhao
To reach the global net-zero goal, the level of carbon emissions has to fall substantially at speed rarely seen in history, highlighting the need to identify structural breaks in carbon emission patterns and understand forces that could bring about such breaks. In this paper, we identify and analyze structural breaks using machine learning methodologies. We find that downward trend shifts in carbon emissions since 1965 are rare, and most trend shifts are associated with non-climate structural factors (such as a change in the economic structure) rather than with climate policies. While we do not explicitly analyze the optimal mix between climate and non-climate policies, our findings highlight the importance of the nonclimate policies in reducing carbon emissions. On the methodology front, our paper contributes to the climate toolbox by identifying country-specific structural breaks in emissions for top 20 emitters based on a user-friendly machine-learning tool and interpreting the results using a decomposition of carbon emission ( Kaya Identity).
Keywords:
Climate Policies; Carbon Emissions; Machine Learning; Structural Break; Kaya Identity; machine learning methodology; machine learning analysis; user-friendly machine-learning tool; emission level; energy intensity; Greenhouse gas emissions; Climate policy; Climate change; Carbon tax; Machine learning; Global
Cover Policy Papers
Economic Prospects and Policy Challenges for the GCC Countries - 2021
International Monetary Fund
GCC policymakers moved quickly to mitigate the health and economic impacts of twin COVID-19 and oil price shocks. Infection rates have declined across the GCC to well below previous peaks, though countries have experienced successive waves of the virus, and economic recoveries have begun to take hold. Nevertheless, GCC policymakers must navigate a challenging and uncertain landscape. The pandemic continues to cloud the global outlook as countries are in different phases of recovery, with varied growth prospects and policy space
Keywords:
oil market development; oil growth; oil balance; climate change impact; GCC economy; Oil prices; COVID-19; Oil consumption; Climate change; Global; Fiscal stance