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Business and Economics > Production and Operations Management

You are looking at 1 - 10 of 148 items for :

  • Type: Journal Issue x
  • Economic Development, Innovation, Technological Change, and Growth 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
Transforming the Future: The Impact of Artificial Intelligence in Korea
Soo Jung Chang
,
Hamin Lee
,
Sumin Lee
,
Samil Oh
,
Zexi Sun
, and
Xin Cindy Xu
This paper examines the economic impact of Artificial Intelligence (AI) in Korea. Korea is among the global frontrunners in AI adoption, with higher adoption rates among larger, younger, and technologically advanced firms. AI holds the promise for boosting productivity and output, though the effects are more pronounced among larger and mature Korean firms. About half of jobs are exposed to AI, with higher exposures among female, younger, more educated, and higher income workers. Korea’s strong innovation and digital infrastructure highlights its AI readiness, while enhancing labor market flexibility and social safety nets are essential to fully harness AI’s potential.
Keywords:
Artificial Intelligence; AI; labor market; productivity; growth; E. AI preparedness; profitability regression; preparedness index; AI adoption; B. AI adoption; Aging; Labor market policy; Global
Cover Selected Issues Papers
Growth and Production Network in Chile: Chile
Si Guo
Productivity growth depends not only on technological innovation but also on production networks that amplify its impact. Theory and cross-country evidence indicate a positive relationship between productivity growth and the use of intermediate inputs, a measure of network connectedness. We find that Chile’s intermediate input utilization is significantly lower than that of OECD peers, such as Korea and the Czech Republic, and declined during 2008-21. This is primarily due to weak domestic producer connections and the smaller presence of the manufacturing sector. We argue that diversifying exports from mining, reducing trade costs, and improving contract enforcement could strengthen network linkages and boost growth.
Keywords:
Chile; Productivity; Input-output; production network; D. input-output linkage; A. growth slowdown; network linkage; aggregate productivity growth; Exports; Manufacturing; Total factor productivity; Eastern Europe; Global
Cover IMF Working Papers
Europe’s Productivity Weakness: Firm-Level Roots and Remedies
Oyun Erdene Adilbish
,
Diego A. Cerdeiro
,
Romain A Duval
,
Gee Hee Hong
,
Luca Mazzone
,
Lorenzo Rotunno
,
Hasan H Toprak
, and
Maryam Vaziri
Europe faces a well-known productivity malaise, with a large and widening aggregate productivity gap relative to the U.S. In this paper, we provide a novel diagnosis of the firm-level roots of Europe’s productivity growth slowdown through an analysis of data covering the universe of firms in Europe and the U.S over their life cycles. Compared to their U.S. counterparts, we identify critical performance gaps among both Europe’s frontier firms and young high-growth firms. Our firm-level analyses reveal that smaller markets and limited market-based financing are key bottlenecks for frontier European firms, while skill shortages and insufficient risk capital, such as venture capital, hinder the formation and subsequent growth of young firms in Europe. These findings suggest that removing remaining intra-Europe barriers to accelerate factor and product markets integration, alongside national reforms to facilitate swifter resource reallocation and enhance human capital, could help revive Europe’s productivity growth.
Keywords:
Firm-level productivity; business dynamism.; EU accession; productivity weakness; productivity problem; frontier firm; trade Barries; firm Size; Productivity; Trade balance; Trade barriers; Total factor productivity; Europe
Cover IMF Working Papers
Government Debt and Growth: The Role of R&D
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.
Keywords:
Government debt; fiscal policy; economic growth; R&D; innovation; financial development; economic growth in the advanced economies; R&D activity; impact of debt; debt level; affect tax dynamics; Financial sector development; Manufacturing; Productivity; Aging; Global
Cover IMF Working Papers
Chasing the Dream: Industry-Level Productivity Developments in Europe
Serhan Cevik
,
Sadhna Naik
, and
Keyra Primus
European countries are lagging behind in productivity growth, with significant productivity gaps across industries. In this study, we use comparable industry-level data to explore the patterns and sources of total factor productivity (TFP) growth across 28 countries in Europe over the period 1995–2020. Our empirical results highlight four main points: (i) TFP growth is driven largely by the extent to which countries are involved in scientific and technological innovation as the leader country or benefiting from stronger knowledge spillovers; (ii) the technological gap is associated with TFP growth as countries move towards the technological frontier by adopting new innovations and technologies; (iii) increased investment in information and communications technology (ICT) capital and research and development (R&D) contributes significantly to higher TFP growth; and (iv)the impact of human capital tends to be stronger when a country is closer to the technological frontier. The core findings of this study call for policy measures and structural reforms to promote innovation and facilitate the diffusion of new and existing technologies across Europe.
Keywords:
Total factor productivity; technology; R&D; innovation; human capital; Europe; productivity development; developments in Europe; core finding; TFP slowdown; TFP difference; Productivity; Capital spending; Global
Cover Policy Papers
Gulf Cooperation Council: Pursuing Visions Amid Geopolitical Turbulence: Economic Prospects and Policy Challenges for the GCC Countries
International Monetary Fund. Middle East and Central Asia Dept.
The Gulf Cooperation Council countries have successfully weathered recent turbulence in the Middle East, and their economic prospects remain favorable. Nonhydrocarbon activity has been strong amid reform implementation, although overall growth has decelerated due to cuts in oil production. The growth outlook is positive, as the envisaged easing of oil production cuts and natural gas expansion spur the recovery in the hydrocarbon sector, while the nonhydrocarbon economy continues to expand. External buffers remain comfortable despite current account balances having narrowed. Risks around the outlook are broadly balanced in the near term. More challenging medium-term risks, especially in the context of geoeconomic fragmentation and climate change, call for action on policy priorities to continue to strengthen the private sector and to diversify the economy.
Keywords:
economic diversification; financial stability; fiscal sustainability; GCC; productivity improvements; regional integration; GCC country; policy priority; B. GCC; GCC well; GCC public sector balance sheet; Labor markets; Fiscal rules; Total factor productivity; Global; Middle East; Middle East and Central Asia
Cover IMF Working Papers
Dynamic Development Accounting and Relative Income Traps
Patrick A. Imam
and
Jonathan R. W. Temple
Previous research suggests that economy-wide poverty traps are rarely observed in the data. In this paper, we explore a related hypothesis: low-income countries rarely improve their position relative to the US. Using finite state Markov chains, we show that upwards mobility is indeed limited. Since capital-output ratios are similar across countries, and human capital is also converging, the persistence of low relative income seems to originate in the persistence of low relative TFP. We study the dynamics of relative TFP and how they interact with absolute levels of human capital, casting new light on the future of convergence.
Keywords:
Economic growth; development accounting; low-income trap; poverty trap; income trap; state Markov chains; country sample; OECD member country; relative TFP; Total factor productivity; Human capital; Growth accounting; Income; Capital productivity; Global
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
Mending the Crystal Ball: Enhanced Inflation Forecasts with Machine Learning
Yang Liu
,
Ran Pan
, and
Rui Xu
Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting performance by incorporating a wider range of variables, allowing for non-linear relationships, and focusing on out-of-sample performance. In this paper, we apply machine learning (ML) models to forecast near-term core inflation in Japan post-pandemic. Japan is a challenging case, because inflation had been muted until 2022 and has now risen to a level not seen in four decades. Four machine learning models are applied to a large set of predictors alongside two benchmark models. For 2023, the two penalized regression models systematically outperform the benchmark models, with LASSO providing the most accurate forecast. Useful predictors of inflation post-2022 include household inflation expectations, inbound tourism, exchange rates, and the output gap.
Keywords:
Core inflation; forecasting; machine learning models; LASSO; Japan; household inflation expectation; forecasting inflation; machine learning method; Annex I. machine learning; enhanced inflation; Inflation; Machine learning; Econometric models; Output gap