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Business and Economics > Production and Operations Management

You are looking at 1 - 10 of 43 items for :

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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 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
Cover Finance & Development
Finance & Development, September 2024: Productivity and How to Revive It
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.
Keywords:
Productivity; total factor productivity; demographics; sustainable growth; economic growth; dynamism; innovation; international cooperation.; productivity gain; understanding productivity growth; productivity growth rebound; IMF photo; low-productivity firm; TFP advancement; Emerging and frontier financial markets; Tax avoidance; Global; West Africa; Europe; Central Asia; Asia and Pacific
Cover IMF Working Papers
Can Mobile Technologies Enhance Productivity? A Structural Model and Evidence from Benin Food Suppliers
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.
Keywords:
Digital Technology Adoption; Food Supply; Counterfactual Analysis; productivity gain; legumes supplier; adoption rate; broadband internet quality; Productivity; Agricultural commodities; Financial inclusion; Africa
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 IMF Working Papers
The Economic Impacts and the Regulation of AI: A Review of the Academic Literature and Policy Actions
Mariarosaria Comunale
and
Andrea Manera
We review the literature on the effects of Artificial Intelligence (AI) adoption and the ongoing regulatory efforts concerning this technology. Economic research encompasses growth, employment, productivity, and income inequality effects, while regulation covers market competition, data privacy, copyright, national security, ethics concerns, and financial stability. We find that: (i) theoretical research agrees that AI will affect most occupations and transform growth, but empirical findings are inconclusive on employment and productivity effects; (ii) regulation has focused primarily on topics not explored by the academic literature; (iii) across countries, regulations differ widely in scope and approaches and face difficult trade-offs.
Keywords:
Artificial Intelligence (AI); labor market; task exposure; productivity; regulation; governance.; productivity effect; regulation of AI; AI system; AI model; AI technology; Artificial intelligence; Machine learning; Automation; Global
Cover IMF Working Papers
Has the Phillips Curve Become Steeper?
Mr. Anil Ari
,
Mr. Daniel Garcia-Macia
, and
Shruti Mishra
This paper analyzes whether structural changes in the aftermath of the pandemic have steepened the Phillips curves in advanced economies, reversing the flattening observed in recent decades and reducing the sacrifice ratio associated with disinflation. Particularly, analysis of granular price quote data from the UK indicates that increased digitalization may have raised price flexibility, while de-globalization may have made inflation more responsive to domestic economic conditions again. Using sectoral data from 24 advanced economies in Europe, higher digitalization and lower trade intensity are shown to be associated with steeper Phillips curves. Post-pandemic Phillips curve estimates indicate some steepening in the UK, Spain, Italy and the euro area as a whole, but at magnitudes that are too small to explain the entire surge in inflation in 2021–22, suggesting an important role for outward shifts in the Phillips curve.
Keywords:
Phillips Curve; Inflation; De-globalization; Digitalization; Structural change; POST-pandemic Phillips curve estimation; Phillips curve estimate; price flexibility; Phillips Curve slope; quote data; Output gap; Real effective exchange rates; Europe
Cover Staff Discussion Notes
Digitalization During the COVID-19 Crisis: Implications for Productivity and Labor Markets in Advanced Economies
Ms. Florence Jaumotte
,
Longji Li
,
Andrea Medici
,
Myrto Oikonomou
,
Carlo Pizzinelli
,
Mr. Ippei Shibata
,
Jiaming Soh
, and
Ms. Marina Mendes Tavares
Digitalization induced by the pandemic was seen both as a possible silver-lining from the crisis that could increase longer-term productivity and a risk for further labor market inequality between digital and non-digital workers. The note shows that the pandemic accelerated digitalization and triggered a partial catch-up by less digitalized entities in advanced economies. Higher digitalization levels shielded substantially productivity and hours worked during the crisis. However, the extent to which the pandemic-induced digitalization led to structural change in the economy is less clear. Less digitalized sectors have rebounded more strongly, albeit after stronger declines, and while workers in digital occupations were more shielded from the crisis, there does not appear to be a structural change in the composition of labor demand. Meanwhile, shifts in labor supply are more likely to be permanent, driven by the increase in working from home.
Keywords:
Digitalization; COVID-19; labor market; productivity; productivity regression analysis; digitalization level; longer-term productivity; pandemic-induced digitalization; labor market tightness; Labor productivity; Labor markets; Total factor productivity; Europe
Cover Departmental Papers
Accelerating Innovation and Digitalization in Asia to Boost Productivity
Ms. Era Dabla-Norris
,
Mr. Tidiane Kinda
,
Kaustubh Chahande
,
Hua Chai
,
Yadian Chen
,
Alessia De Stefani
,
Yosuke Kido
,
Fan Qi
, and
Alexandre Sollaci
COVID-19 hit on the back of weakening productivity growth in many advanced and emerging Asian countries, a trend that could be exacerbated by the pandemic. Interestingly, productivity growth in the region was slowing even amid increased innovation effort, as proxied by spending on research and development (R&D) and number of patents. A key element underpinning this disconnect is the growing dispersion in productivity growth, innovation effort, and digitalization across and within sectors. Asia has risen to become an innovation powerhouse, contributing to more than half of world patents. The rise of Asia as an innovation hub has been driven by a few frontier countries that have experienced a sharp increase in digital and computer-related patents, supported by solid R&D spending and a large share of researchers in the labor force. Within countries, R&D has become more concentrated in a smaller share of firms in frontier Asia. Empirical evidence using firm-level data highlight that the high concentration in R&D is associated with large dispersion in productivity. External exposure to competition and innovation, including through trade, supports innovation and help close productivity gaps for firms closer to the frontier. Non-frontier Asian developing countries have benefited from technology diffusion through a higher share of imported high-technology goods and by granting more patents to non-residents, supported by improvements in human capital and digital infrastructure. For these countries, further integration to the international economy, including global value chains, greater entrepreneurship, and expanding innovative labour supply could support productivity by encouraging innovation, including process innovation which is associated with larger productivity at the firm-level. Policies to foster innovation, reduce productivity gaps, and ultimately boost aggregate productivity can be grouped into two buckets. For countries close to the technological frontier, R&D tax credits and grants, business-university R&D collaboration, and lower trade barriers would support broader-based innovation and help close productivity gaps. For countries farther from the frontier, further improvements in digital infrastructure, skilled labor force, openness to trade and FDI, and patent protection, could promote resource reallocation to the most productive firms and enhance incentives for technological adoption, supporting diffusion and higher productivity.
Keywords:
Innovation digitalization technological diffusion productivity dispersion aggregate productivity growth; B. firm Heterogeneity; firm productivity distribution; productivity dispersion; capital-intensive firm; firm size; Productivity; Digitalization; Total factor productivity; Emerging technologies; Asia and Pacific; Global