Measuring and Accounting for Innovation in the Twenty-First Century
Carol Corrado, Jonathan Haskel, Javier Miranda, Daniel Sichel
NBER Studies in Income and Wealth,
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies.
This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution.
The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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Introduction to "Measuring and Accounting for Innovation in the Twenty-First Century"
Javier Miranda
Measuring and Accounting for Innovation in the Twenty-First Century,
NBER Studies in Income and Wealth, Vol 78 /
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies. This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution. The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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Financial Analysts' Career Concerns and the Cost of Private Debt
Bill Francis, Iftekhar Hasan, Liuling Liu, Qiang Wu, Yijiang Zhao
Journal of Corporate Finance,
April
2021
Abstract
Career-concerned analysts are averse to firm risk. Not only does higher firm risk require more effort to analyze the firm, thus constraining analysts' ability to earn more remuneration through covering more firms, but it also jeopardizes their research quality and career advancement. As such, career concerns incentivize analysts to pressure firms to undertake risk-management activities, thus leading to a lower cost of debt. Consistent with our hypothesis, we find a negative association between analyst career concerns and bank loan spreads. In addition, our mediation analysis suggests that this association is achieved through the channel of reducing firm risk. Additional tests suggest that the effect of analyst career concerns on loan spreads is more pronounced for firms with higher analyst coverage. Our study is the first to identify the demand for risk management as a key channel through which analysts help reduce the cost of debt.
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The Influence of Bondholder Concentration and Temporal Orientation on Investments in R&D
Pengfei Ye, Jonathan O’Brien, Christina Matz Carnes, Iftekhar Hasan
Journal of Management,
Nr. 3,
2021
Abstract
Although innovation can be a critical source of competitive advantage, research has found that debt can erode management’s willingness to invest in R&D. In this article, we employ a stakeholder bargaining power perspective to argue that this effect is most pronounced when the firm’s bonds are concentrated in the hands of bond blockholders. Furthermore, we contend that the temporal orientation of bondholders influences this relationship. Specifically, while it is commonly assumed that bondholders have a limited temporal orientation that induces them to focus on short-term value appropriation, we argue that some bond blockholders adopt a long-term temporal orientation. This orientation, in turn, makes them more inclined to support long-term value creation for the firm in the form of enhanced investments in R&D. Moreover, while agency theory suggests that there is an inherent conflict of interest between shareholders and bondholders, our results suggest that the temporal orientation of investors (i.e., both shareholders and bondholders) matters much more than whether they invested in the firm’s equity or its debt.
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Benchmarking New Zealand's Frontier Firms
Guanyu Zheng, Hoang Minh Duy, Gail Pacheco
IWH-CompNet Discussion Papers,
Nr. 1,
2021
Abstract
New Zealand has experienced poor productivity performance over the last two decades. Factors often cited as reasons behind this are the small size of the domestic market and distance to international partners and markets. While the distance reason is one that is fairly insurmountable, there are a number of other small advanced economies that also face similar domestic market constraints. This study compares the relative performance of New Zealand’s firms to those economies using novel cross-country microdata from CompNet. We present stylised facts for New Zealand relative to the economies of Belgium, Denmark, Finland, Netherlands and Sweden based on average productivity levels, as well as benchmarking laggard, median and frontier firms. This research also employs an analytical framework of technology diffusion to evaluate the extent of productivity convergence, and the impact of the productivity frontier on non-frontier firm performance. Additionally, both labour and capital resource allocation are compared between New Zealand and the other small advanced economies. Results show that New Zealand’s firms have comparatively low productivity levels and that its frontier firms are not benefiting from the diffusion of best technologies outside the nation. Furthermore, there is evidence of labour misallocation in New Zealand based on less labour-productive firms having disproportionally larger employment shares than their more productive counterparts. Counter-factual analysis illustrates that improving both technology diffusion from abroad toward New Zealand’s frontier firms, and labour allocation across firms within New Zealand will see sizable productivity gains in New Zealand.
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A Note of Caution on Quantifying Banks' Recapitalization Effects
Felix Noth, Kirsten Schmidt, Lena Tonzer
Abstract
Unconventional monetary policy measures like asset purchase programs aim to reduce certain securities' yield and alter financial institutions' investment behavior. These measures increase the institutions' market value of securities and add to their equity positions. We show that the extent of this recapitalization effect crucially depends on the securities' accounting and valuation methods, country-level regulation, and maturity structure. We argue that future research needs to consider these factors when quantifying banks' recapitalization effects and consequent changes in banks' lending decisions to the real sector.
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Evolvement of China-related Topics in Academic Accounting Research: Machine Learning Evidence
June Cao, Zhanzhong Gu, Iftekhar Hasan
China Accounting and Finance Review,
Nr. 4,
2020
Abstract
This study employs an unsupervised machine learning approach to explore the evolution of accounting research. We are particularly interested in exploring why international researchers and audiences are interested in China-related issues; what kinds of research topics related to China are mainly investigated in globally recognised journals; and what patterns and emerging topics can be explored by comprehensively analysing a big sample. Using a training sample of 23,220 articles from 46 accounting journals over the period 1980 to 2018, we first identify the optimal number of accounting research topics; the dynamic patterns of these accounting research topics are explored on the basis of 46 accounting journals to show changes in the focus of accounting research. Further, we collect articles related to Chinese accounting research from 18 accounting journals, eight finance journals, and eight management journals over the period 1980 to 2018. We objectively identify China-related accounting research topics and map them to the stages of China’s economic development. We attempt to identify the China-related issues global researchers are interested in and whether accounting research reflects the economic context. We use HistCite TM to generate a citation map along a timeline to illustrate the connections between topics. The citation clusters demonstrate “tribalism” phenomena in accounting research. The topics related to Chinese accounting research conducted by international accounting researchers reveal that accounting changes mirror economic reforms. Our findings indicate that accounting research is embedded in the economic context.
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The Impact of Social Capital on Economic Attitudes and Outcomes
Iftekhar Hasan, Qing He, Haitian Lu
Journal of International Money and Finance,
November
2020
Abstract
This article traces the extant literature on the impact of social capital on economic attitudes and outcomes. Special attention is paid to clarify conceptual ambiguities, measurement techniques, channels of influence, and identification strategies. Insights derived from the literature are then used to analyze the marketplace lending industry in China, where the size of the peer-to-peer (P2P) lending market is larger than that of the rest of the world combined. Ironically, approximately two-thirds of these online P2P lending platforms have failed. Empirical evidence from the monthly operating data of 735 lending platforms and transaction level data from one prominent platform (Renrendai) shows that platforms in provinces with high social capital have low risk of failure, and borrowers in provinces with high social capital can borrow at low interest rate and are less likely to default. We also provide observations to guide future economic research on social capital.
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Are Bank Capital Requirements Optimally Set? Evidence from Researchers’ Views
Gene Ambrocio, Iftekhar Hasan, Esa Jokivuolle, Kim Ristolainen
Journal of Financial Stability,
October
2020
Abstract
We survey 149 leading academic researchers on bank capital regulation. The median (average) respondent prefers a 10% (15%) minimum non-risk-weighted equity-to-assets ratio, which is considerably higher than the current requirement. North Americans prefer a significantly higher equity-to-assets ratio than Europeans. We find substantial support for the new forms of regulation introduced in Basel III, such as liquidity requirements. Views are most dispersed regarding the use of hybrid assets and bail-inable debt in capital regulation. 70% of experts would support an additional market-based capital requirement. When investigating factors driving capital requirement preferences, we find that the typical expert believes a five percentage points increase in capital requirements would “probably decrease” both the likelihood and social cost of a crisis with “minimal to no change” to loan volumes and economic activity. The best predictor of capital requirement preference is how strongly an expert believes that higher capital requirements would increase the cost of bank lending.
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Identifying Cooperation for Innovation ― A Comparison of Data Sources
Michael Fritsch, Mirko Titze, Matthias Piontek
Industry and Innovation,
Nr. 6,
2020
Abstract
The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers.
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