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Evidence from historical and epidemiological literatures show that epidemics tend to spread in the population according to a logistic pattern. We conjecture that the impact of new technologies on output follows a pattern of spread not unlike that of typical epidemics. After reaching a critical mass, rates of growth will accelerate until the marginal benefits of technology are fully utilized. We estimate spline functions using a GMM dynamic panel methodology for 79 countries. We use imports of machinery and equipment as a fraction of gross domestic product as a proxy for the process of technological adoption. Results confirm our hypothesis.
Econometrics --- Exports and Imports --- Investments: Stocks --- Industries: Information Technololgy --- Innovation --- Research and Development --- Technological Change --- Intellectual Property Rights: General --- Estimation --- Trade: General --- Technological Change: Choices and Consequences --- Diffusion Processes --- Pension Funds --- Non-bank Financial Institutions --- Financial Instruments --- Institutional Investors --- Technology --- general issues --- Econometrics & economic statistics --- International economics --- Information technology industries --- Investment & securities --- Estimation techniques --- Imports --- Emerging technologies --- Stocks --- Econometric analysis --- International trade --- Financial institutions --- Econometric models --- United States --- General issues
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How do firm-specific actions-in particular, innovation-affect firm productivity? And what is the role of the financial sector in facilitating higher productivity? Using a rich firm-level dataset, we find that innovation is crucial for firm performance as it directly and measurably increases productivity. Moreover, its effects on productivity are mediated through the financial sector; firms reap the maximum benefits from innovation in countries with well-developed financial sectors. This effect is particularly important for firms in high-tech sectors, which typically have higher external financing needs.
Finance: General --- Industries: Information Technololgy --- Production and Operations Management --- Economic Development: Financial Markets --- Saving and Capital Investment --- Corporate Finance and Governance --- Financial Markets and the Macroeconomy --- Macroeconomics: Production --- Technological Change: Choices and Consequences --- Diffusion Processes --- Production --- Cost --- Capital and Total Factor Productivity --- Capacity --- Macroeconomics --- Finance --- Information technology industries --- Financial sector development --- Emerging technologies --- Productivity --- Total factor productivity --- Capacity utilization --- Financial markets --- Technology --- Financial services industry --- Industrial productivity --- Industrial capacity --- India --- Industries --- Industrial management. --- Technological innovations. --- Finance.
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We exploit a survey data set that contains information on how 11,000 workers across advanced and emerging market economies perceive the main forces shaping the future of work. In general, workers feel more positive than negative about automation, especially in emerging markets. We find that negative perceptions about automation are prevalent among workers who are older, poorer, more exposed to job volatility, and from countries with higher levels of robot penetration. Perceptions over automation are positively viewed by workers with higher levels of job satisfaction, higher educational attainment, and from countries with stronger labor protection. Workers with positive perceptions of automation also tend to respond that re-education and retraining will be needed to adapt to rapidly evolving skill demands. These workers expect governments to have a role in shaping the future of work through protection of labor and new forms of social benefits. The demand for protection and benefits is more significant among women and workers that have suffered job volatility.
United States --- Labor --- Macroeconomics --- Industries: Information Technololgy --- Automation --- Demand and Supply of Labor: General --- Human Capital --- Skills --- Occupational Choice --- Labor Productivity --- Job, Occupational, and Intergenerational Mobility --- Promotion --- Mobility, Unemployment, and Vacancies: Public Policy --- Innovation --- Research and Development --- Technological Change --- Intellectual Property Rights: General --- Education: Government Policy --- Technological Change: Choices and Consequences --- Diffusion Processes --- Labor Economics: General --- Education: General --- Automatic control engineering --- Labour --- income economics --- Education --- Information technology industries --- Emerging technologies --- Labor markets --- Technology --- Labor economics --- Labor market --- Income economics
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The latest advancement in financial technology has posed unprecedented challenges for incumbent banks. This paper analyzes the implications of these challenges on bank competitveness, and explores the factors that could support digital advancement in banks. The analysis shows that the traditionally leading role of banks in advancing financial technology has diminished in recent years, and suggests that onoing efforts to catch up to the digital frontier could lead to a more concentrated banking industry, as smaller and less tech-savvy banks struggle to survive. Cross-country evidence has suggested that banks in high-income economies appear to have been the digital leaders, likely benefiting from a sound digital infrastructure, a strong legal and business environment, and healthy competition. Nonetheless, some digital leaders may fall behind in the coming years in adopting newer technologies due to entrenched consumer behavior favoring older technologies, less active fintech and bigtech companies, and weak bank balance sheets.
China, People's Republic of --- Finance: General --- Industries: Information Technololgy --- Industries: Financial Services --- Banks --- Depository Institutions --- Micro Finance Institutions --- Mortgages --- Financial Institutions and Services: Government Policy and Regulation --- Fiscal and Monetary Policy in Development --- Technological Change: Choices and Consequences --- Diffusion Processes --- Innovation --- Research and Development --- Technological Change --- Intellectual Property Rights: General --- Financial Markets and the Macroeconomy --- Finance --- Information technology industries --- Technology --- general issues --- Financial services --- Digitalization --- Emerging technologies --- Financial sector development --- Financial markets --- Financial services industry --- Information technology --- General issues
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This paper studies the effect of individual uncertainty on collective decision-making to implement innovation. We show how individual uncertainty creates a bias for the status quo even under irreversible voting decisions, in contrast with Fernandez and Rodrik (1991). Blocking innovation is rooted in the aversion to the potential loss of political clout in future voting decisions. Thus, risk neutral individuals exhibit what we call political risk aversion. Yet individual uncertainty is not all bad news as it may open the door to institutional reform. We endogenize institutional reform and show a non-monotonic relationship between institutional efficiency and the size of innovation.
Business & Economics --- Economic Theory --- Uncertainty. --- Rational expectations (Economic theory) --- Expectations, Rational (Economic theory) --- Economic forecasting --- Time and economic reactions --- Uncertainty --- Reasoning --- Labor --- Industries: Information Technololgy --- Production and Operations Management --- Inventions --- Technological Change: Choices and Consequences --- Diffusion Processes --- Innovation --- Research and Development --- Technological Change --- Intellectual Property Rights: General --- Macroeconomics: Production --- Geographic Labor Mobility --- Immigrant Workers --- Information technology industries --- Technology --- general issues --- Macroeconomics --- Inventions & inventors --- Labour --- income economics --- Emerging technologies --- Productivity --- Technological innovation --- Labor mobility --- Industrial productivity --- Technological innovations --- China, People's Republic of --- General issues --- Income economics
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This paper assesses productivity trends in Canada vis-a-vis the United States from two perspectives. The first one is based on estimates of total factor productivity. The second one decomposes productivity growth into two sources: investment-specific technical change, associated with improvements in the quality of the capital stock, and neutral technical change, associated with the organization of productive activities. The results indicate that investment-specific technical change is the major underlying cause of the pickup in productivity in Canada and the narrowing of the productivity gap with the United States.
Investments: Stocks --- Macroeconomics --- Production and Operations Management --- Industries: Information Technololgy --- Innovation --- Research and Development --- Technological Change --- Intellectual Property Rights: General --- One, Two, and Multisector Growth Models --- Measurement of Economic Growth --- Aggregate Productivity --- Cross-Country Output Convergence --- Economywide Country Studies: U.S. --- Canada --- Macroeconomics: Production --- Production --- Cost --- Capital and Total Factor Productivity --- Capacity --- Labor Economics: General --- Pension Funds --- Non-bank Financial Institutions --- Financial Instruments --- Institutional Investors --- Macroeconomics: Consumption --- Saving --- Wealth --- Technological Change: Choices and Consequences --- Diffusion Processes --- Labour --- income economics --- Investment & securities --- Information technology industries --- Productivity --- Total factor productivity --- Labor --- Stocks --- Consumption --- Financial institutions --- Emerging technologies --- Technology --- Industrial productivity --- Labor economics --- Economics --- United States --- Income economics
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A new wave of technological innovations, often called “fintech,” is accelerating change in the financial sector. What impact might fintech have on financial services, and how should regulation respond? This paper sets out an economic framework for thinking through the channels by which fintech might provide solutions that respond to consumer needs for trust, security, privacy, and better services, change the competitive landscape, and affect regulation. It combines a broad discussion of trends across financial services with a focus on cross-border payments and especially the impact of distributed ledger technology. Overall, the paper finds that boundaries among different types of service providers are blurring; barriers to entry are changing; and improvements in cross-border payments are likely. It argues that regulatory authorities need to balance carefully efficiency and stability trade-offs in the face of rapid changes, and ensure that trust is maintained in an evolving financial system. It also highlights the importance of international cooperation.
Blockchain and DLT --- Blockchains --- Computer applications in industry & technology --- Databases --- Diffusion Processes --- Distributed ledgers --- Emerging technologies --- Financial Economics: General --- Financial Institutions and Services: General --- Financial Institutions and Services: Government Policy and Regulation --- Financial Instruments --- Financial services industry --- Fintech --- General Financial Markets: General (includes Measurement and Data) --- General Financial Markets: Government Policy and Regulation --- General issues --- Government and the Monetary System --- Industries: Financial Services --- Industries: Information Technololgy --- Information technology industries --- Innovation --- Institutional Investors --- Intellectual Property Rights: General --- Monetary Systems --- Non-bank Financial Institutions --- Payment Systems --- Pension Funds --- Regimes --- Research and Development --- Standards --- Technological Change --- Technological Change: Choices and Consequences --- Technological innovations --- Technology --- Virtual currencies --- United States
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BigTech firms are gradually entering the financial sector and becoming important service providers, particularly in emerging markets. BigTechs have entered financial services using platform-based technology to facilitate payments and more recently expanded into other areas, such as lending, asset management, and insurance services. They accumulate data from their nonfinancial and financial activities and draw on consumer data held in different parts of their business (such as via social media). BigTechs are applying new approaches to existing financial services products and services such as underwriting using big data and are also applying machine learning for their key business decisions, such as pricing and risk management across multiple financial sectors. Incumbent financial firms have also increased their reliance on BigTech firms to host core IT systems (for example, cloud-based services, which have the potential to improve efficiency and security). This rapid and significant expansion of BigTechs in financial services and their interconnectedness with financial service firms are potentially creating new channels of systemic risks. To achieve effective implementation and multiple objectives of financial regulation and supervision, a hybrid approach, combining a mix of entity- and activity-based approaches, is needed.
Monetary policy. --- Fiscal policy. --- Financial institutions. --- Computer applications in industry & technology --- Currency crises --- Diffusion Processes --- Economic & financial crises & disasters --- Economic sectors --- Economics of specific sectors --- Economics --- Economics: General --- Emerging technologies --- Finance --- Finance: General --- Financial crises --- Financial Institutions and Services: Government Policy and Regulation --- Financial risk management --- Financial sector policy and analysis --- Financial sector stability --- Financial services industry --- Financial services --- Fintech --- Foreign Exchange --- General Financial Markets: Government Policy and Regulation --- Government and the Monetary System --- Industries: Financial Services --- Industries: Information Technololgy --- Informal Economy --- Informal sector --- Information technology industries --- Macroeconomics --- Monetary Systems --- Payment Systems --- Regimes --- Standards --- Systemic risk --- Technological Change: Choices and Consequences --- Technological innovations --- Technology --- Underground Econom --- China, People's Republic of
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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.
Technological innovations --- Industrial productivity. --- Economic aspects. --- Capacity --- Capital and Total Factor Productivity --- Communicable diseases --- Cost --- Diffusion Processes --- Digitalization --- Diseases: Contagious --- Economics --- Emerging technologies --- General issues --- Health Behavior --- Industrial productivity --- Industries: Information Technololgy --- Infectious & contagious diseases --- Information technology industries --- Information technology --- Innovation --- Intellectual Property Rights: General --- International agencies --- International Agreements and Observance --- International Economics --- International institutions --- International organization --- International Organizations --- Macroeconomics --- Macroeconomics: Production --- Political Economy --- Political economy --- Production and Operations Management --- Production --- Productivity --- Public Policy --- Research and Development --- Technological Change --- Technological Change: Choices and Consequences --- Technology --- Total factor productivity --- China, People's Republic of
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The impact of fintech is growing rapidly worldwide, although this growth is uneven across jurisdictions. Depending on the effect of fintech, authorities may adopt a passive approach of monitoring fintech, try and capture new business models in existing regulatory frameworks, develop bespoke regulation, or adopt test and learn policies through institutional arrangements like innovation hubs and sandboxes. The test and learn approach is relatively unique to fintech in financial regulation and supervision and has advantages and disadvantages. While it can help authorities monitor and respond to the challenges of fintech in some scenarios, in others it could lead to risks to consumers and markets, particularly when designed poorly or with an unclear use case. Ultimately, the aim for authorities should be to consider fintech regulation part of the mainstream, where fintech expertise is embedded throughout an organization and not siloed to specific fintech units.
Central Banks and Their Policies --- Currency crises --- Diffusion Processes --- Economic & financial crises & disasters --- Economic History: Transport, International and Domestic Trade, Energy, Technology, and Other Services: General, International, or Comparative --- Economic sectors --- Economics of specific sectors --- Economics --- Economics: General --- Emerging technologies --- Finance --- Financial crises --- Financial Institutions and Services: Government Policy and Regulation --- Financial services industry --- Financial services --- Financial technology (fintech) --- Fintech --- General issues --- Government and the Monetary System --- Industries: Financial Services --- Industries: Information Technololgy --- Informal Economy --- Informal sector --- Information technology industries --- Innovation --- Intellectual Property Rights: General --- Inventions & inventors --- Inventions --- Macroeconomics --- Monetary Systems --- Payment Systems --- Regimes --- Research and Development --- Standards --- Technological Change --- Technological Change: Choices and Consequences --- Technological innovation --- Technological innovations --- Technology --- Underground Econom
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