Technology Adoption in Input-Output Networks Staff Working Paper 2019-51 Xintong Han, Lei Xu We study how input-output networks affect the speed of technology adoption. In particular, we model the decision to adopt the programming language Python 3 by software packages. Python 3 provides advanced features but is not backward compatible with Python 2, which implies it comes with adoption costs. Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Firm dynamics, Productivity JEL Code(s): C, C6, C61, L, L2, L23, L8, L86, O, O1, O14, O3, O33
The Cyber Incident Landscape Staff Analytical Note 2019-32 Nikil Chande, Dennis Yanchus The Canadian financial system is vulnerable to cyber threats. But for many firms, cyber risk is difficult to quantify. We examine public information on past cyber incidents to better understand the current risk landscape and find that a holistic view is needed to fully grasp the nature of this risk. Content Type(s): Staff research, Staff analytical notes Topic(s): Financial markets, Financial stability JEL Code(s): G, G2, G28, M, M1, M15, O, O3, O33, O38
Changing Fortunes: Long-Termism—G-Zero, Artificial Intelligence and Debt Staff Discussion Paper 2019-12 Stephen S. Poloz This paper discusses three long-term forces that are acting on the global economy and their implications for companies and policy-makers. Content Type(s): Staff research, Staff discussion papers Topic(s): Financial stability, International topics, Monetary policy, Monetary policy and uncertainty, Trade integration JEL Code(s): E, E6, E63, F, F0, F02, F1, F15, F5, F53, F6, H, O, O1, O11, O3, O33
Technological Progress and Monetary Policy: Managing the Fourth Industrial Revolution Staff Discussion Paper 2019-11 Stephen S. Poloz This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the “fourth industrial revolution.” Content Type(s): Staff research, Staff discussion papers Topic(s): Economic models, Financial stability, Monetary policy and uncertainty, Monetary policy framework JEL Code(s): C, C5, E, E3, O, O1, O11, O3, O33
Blockchain Revolution Without the Blockchain Staff Analytical Note 2018-5 Hanna Halaburda The technology behind blockchain has attracted a lot of attention. However, this technology is for the most part not well understood. There is no consensus on what benefits it may bring or on how it may fail. Content Type(s): Staff research, Staff analytical notes Topic(s): Digital currencies and fintech, Recent economic and financial developments, Service sector JEL Code(s): D, D8, G, G2, O, O3, O33
Digitalization and Inflation: A Review of the Literature Staff Analytical Note 2017-20 Karyne B. Charbonneau, Alexa Evans, Subrata Sarker, Lena Suchanek In the past few years, many have postulated that the possible disinflationary effects of digitalization could explain the subdued inflation in advanced economies. In this note, we review the evidence found in the literature. We look at three main channels. Content Type(s): Staff research, Staff analytical notes Topic(s): Inflation and prices, Market structure and pricing, Productivity JEL Code(s): D, D2, D22, E, E3, E31, L, L8, L81, O, O3, O33
Digital Transformation in the Service Sector: Insights from Consultations with Firms in Wholesale, Retail and Logistics Staff Analytical Note 2017-19 Wei Dong, James Fudurich, Lena Suchanek Firms increasingly rely on digital technologies such as e-commerce, cloud computing, big data, digital tracking and digital platforms that are reshaping business operations, business models and market structures. In this context, the Bank of Canada consulted with firms in wholesale, retail and logistics, as well as with related industry associations to yield insights on the adoption of digital technologies. Content Type(s): Staff research, Staff analytical notes Topic(s): Firm dynamics, Inflation and prices, Service sector JEL Code(s): D, D2, D22, E, E3, E31, L, L8, L81, L9, L92, O, O3, O33
May 11, 2017 The Digital Economy Bank of Canada Review - Spring 2017 Chris D'Souza, David Williams Digital technologies—cloud computing, the Internet of Things, advanced robotics, big data analytics, artificial intelligence and machine learning, social media, 3D printing, augmented reality, virtual reality, e-money and distributed ledgers—are transforming the way busi-nesses operate. How does this transformation compare with past industrial revolutions? How are digital technologies changing production systems across industries? Agile firms that use knowledge intensively and have high levels of both organizational and human capital appear set to realize the greatest benefits from digitalization. Finally, what are the implications for productivity, labour markets, inflation and monetary policy as we transition to the digital economy? Content Type(s): Publications, Bank of Canada Review articles Topic(s): Firm dynamics, Monetary policy, Productivity JEL Code(s): D, D2, D24, L, L1, L10, O, O1, O3, O33
The Digital Economy—Insight from a Special Survey with IT Service Exporters Staff Discussion Paper 2016-21 Wei Dong, James Fudurich, Lena Suchanek Information technology (IT) is an increasingly integral part of everyday business and personal life reflecting the ongoing and accelerating digital transformation of the economy. In this paper, we present information gathered from a survey with export-oriented firms in the Canadian IT service industry and consultations with industry associations aimed at shedding light on this small but highly dynamic sector. Content Type(s): Staff research, Staff discussion papers Topic(s): Firm dynamics, Service sector JEL Code(s): D, D2, D22, L, L8, L86, O, O3, O33