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International Monetary Fund. Asia and Pacific Dept
This Selected Issues paper examines the impact of artificial intelligence (AI) in Korea. As a leading innovator and semiconductor producer, Korea is highly exposed to AI. Korea is widely recognized as a leading technology innovator and consistently ranks high on various global innovation indexes. AI usage is rising in Korean firms, notably among large, young, and tech-related firms. Empirical analysis confirms the significant role of firm size, age, and complementary assets in driving AI adoption. AI exposure tends to be higher for high-income groups, but potential gains from AI also increase with income. AI adoption leads to significant output and productivity gains, especially in Scenario 3 featuring both high labor complementarity and high overall productivity. Active and ongoing policy efforts are being made to promote AI adoption while managing potential risks. High labor market duality poses significant challenges for workers to switch jobs, especially for elderly groups. The authorities have taken proactive steps to advance AI development and adoption, expand the AI talent pool, and establish regulations to manage associated risks.
Can Sever
Economic growth in the advanced economies (AEs) has been slowing down since the early 2000s, while government debt ratios have been rising. The recent surge in debt at the onset of the Covid-19 pandemic has further intensified concerns about these phenomena. This paper aims to offer insight into the high-debt low-growth environment in AEs by exploring a causal link from government debt to future growth, specifically through the impact of debt on R&D activities. Using data from manufacturing industries since the 1980s, it shows that (i) government debt leads to a decline in growth, particularly in R&D-intensive industries; (ii) the differential effect of government debt on these industries is persistent; and (iii) more developed or open financial systems tend to mitigate this negative impact. These findings contribute to our understanding of the relationship between government debt and growth in AEs, given the role of technological progress and innovation in economic growth.
Andrew Hodge
,
Roberto Piazza
,
Fuad Hasanov
,
Xun Li
,
Maryam Vaziri
,
Atticus Weller
, and
Yu Ching Wong
European countries are increasingly turning to industrial policy to address the challenge of geopolitical fragmentation, enhance productivity, and accelerate the green transition. Well-targeted industrial policy has the potential to correct market failures and support production efficiency by exploiting scale effects and internalizing knowledge externalities. But even the most carefully designed unilateral industrial policies risk generating negative production externalities in other countries, and, under certain conditions, may not even be welfare-enhancing for the implementing country. The reason is that negative externalities of unilateral industrial policy can drive European and international production patterns away from underlying comparative advantages, create regional or global over-supply, and result in changes in terms of trade that reduce domestic welfare. This suggests significant benefits from coordination. Structural modeling and case studies show that a coordinated approach within the European Union and with international trading partners on a narrowly defined and carefully designed set of industrial policies could unlock untapped benefits. Closer European integration would facilitate the adjustment of firms and workers to coordinated and well-targeted industrial policies and amplify their benefits.
Luis Brandão-Marques
and
Hasan H Toprak
Industrial policy is once again at the forefront of the policy debate around the world. However, state aid is a contentious issue in the European Union given the need to maintain a level playing in its single market. This paper estimates the effects of state aid between 2016 and 2023 on listed nonfinancial firms in Belgium, France, Germany, the Netherlands, Spain, and the United Kingdom (until 2020) using a high-frequency identification approach to address endogeneity. It finds that firms that receive state aid increase employment and revenue, but not investment or labor productivity. Moreover, it finds that there are adverse spillover effects to competing firms that significantly undo any positive own effects. These findings suggest that, should there be a case for providing state aid to firms in the European Union, this should be done at the European level instead of the member state level to mitigate adverse spillovers. Pooling resources and competitively allocating aid across the Union could preserve market competition, encourage firm entry, and ensure a more efficient distribution of funds.
International Monetary Fund. Middle East and Central Asia Dept.

Abstract

Economic growth in the Middle East and North Africa and Caucasus and Central Asia regions is projected to strengthen in the near term, but only to the extent that current challenges abate. Ongoing conflicts and oil production cuts are dampening economic performance, and medium-term growth prospects have weakened over the past two decades. Moreover, high uncertainty looms, with key risks including escalating conflicts, increased geoeconomic fragmentation, and commodity price volatility. To boost growth and create jobs—especially for women and youth—reform priorities include strengthening governance, encouraging private sector investment, and advancing financial development.

International Monetary Fund. Communications Department
Productivity must play a more important role in driving sustained growth as our societies age. But there’s no consensus on how to reverse the broad slowdown in productivity growth seen across almost all countries over the past 20 years. F&D magazine’s September issue invites leading thinkers to examine productivity from multiple angles, including dynamism, innovation, demographics, and sustainability.
Pierre Nguimkeu
and
Cedric I Okou
This paper analyzes the drivers of digital technologies adoption and how it affects the productivity of small scale businesses in Africa. We use data collected from two semi-rural markets in Benin, where grains and legumes are key staple foods and one-third of the population has internet access. We develop a structural model to rationalize digital technologies adoption—defined as the use of mobile broadband internet connection through smartphones—as well as usage patterns and outcomes observed in the data. The model’s implications are empirically tested using both reduced-form and structural maximum likelihood estimations. We find that younger, wealthier, more educated grains and legumes suppliers and those closely surrounded by other users are more likely to adopt digital technologies. Adopters perform 4-5 more business transactions each month than non-adopters on average, suggesting that digital technologies adoption could raise the monthly frequency and amounts of trades by up to 50%. Most adopters are women, but their productivity gains are lower than their male counterparts. Counterfactual policy simulations with the estimated model suggest that upgrading the broadband internet quality yields the largest improvement in adoption rate and productivity gains, while reducing its cost for a given connection quality only has a moderate effect. Improving access to credit only increases the adoption rate of constrained suppliers.
Flora Lutz
,
Yuanchen Yang
, and
Chengyu Huang
Canada’s muted productivity growth during recent years has sparked concerns about the country’s investment climate. In this study, we develop a new natural language processing (NPL) based indicator, mining the richness of Twitter (now X) accounts to measure trends in the public perceptions of Canada’s investment climate. We find that while the Canadian investment climate appears to be generally favorable, there are signs of slippage in some categories in recent periods, such as with respect to governance and infrastructure. This result is confirmed by both survey-based and NLP-based indicators. We also find that our NLP-based indicators would suggest that perceptions of Canada’s investment climate are similar to perceptions of U.S. investment climate, except with respect to governance, where views of U.S. governance are notably more negative. Comparing our novel indicator relative to traditional survey-based indicators, we find that the NLP-based indicators are statistically significant in helping to predict investment flows, similar to survey-based measures. Meanwhile, the new NLP-based indicator offers insights into the nuances of data, allowing us to identify specific grievances. Finally, we construct a similar indicator for the U.S. and compare trends across countries.
Muayad Ismail
and
Haytem Troug
Oman’s potential nonhydrocarbon real GDP growth has trended downward since the global financial crisis, with a negative contribution from total factor productivity. This paper estimates productivity gains associated with structural reforms and identifies key binding constraints and reform priorities to boost productivity in Oman. Our results show that reforms to reduce the state’s footprint and strengthen institutions, as well as product market reforms, should be prioritized and packaged together to magnify productivity gains from labor market and financial sector reforms. These findings could inform the planning and implementation of the ongoing structural reform agenda envisaged under Oman Vision 2040.
International Monetary Fund. Research Dept.

Abstract

The latest World Economic Outlook reports economic activity was surprisingly resilient through the global disinflation of 2022–23, despite significant central bank interest rate hikes to restore price stability. Risks to the global outlook are now broadly balanced compared with last year. Monetary policy should ensure that inflation touches down smoothly, while a renewed focus on fiscal consolidation is needed to rebuild room for budgetary maneuver and to ensure debt sustainability. Structural reforms are crucial to revive medium-term growth prospects amid constrained policy space.