The Impacts of Intellectual Property Rights Protection on Cross-Border M&As
Iftekhar Hasan, Fahad Khalil, Xian Sun
Quarterly Journal of Finance,
No. 3,
2017
Abstract
We investigate the impacts of improved intellectual property rights (IPR) protection on cross-border Mergers and Acquisitions performance. Using multiple measures of IPR protection and based on generalized difference-in-differences estimates, we find that countries with better IPR protection attract significantly more hi-tech cross-border Mergers and Acquisitions activity, particularly in developing economies. Moreover, acquirers pay higher premiums for companies in countries with better IPR protection, and there is a significantly higher acquirer announcement effect associated with these hi-tech transactions.
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Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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The Effect of Board Directors from Countries with Different Genetic Diversity Levels on Corporate Performance
Manthos D. Delis, Chrysovalantis Gaganis, Iftekhar Hasan, Fotios Pasiouras
Management Science,
No. 1,
2017
Abstract
We link genetic diversity in the country of origin of the firms’ board members with corporate performance via board members’ nationality. We hypothesize that our approach captures deep-rooted differences in cultural, institutional, social, psychological, physiological, and other traits that cannot be captured by other recently measured indices of diversity. Using a panel of firms listed in the North American and UK stock markets, we find that adding board directors from countries with different levels of genetic diversity (either higher or lower) increases firm performance. This effect prevails when we control for a number of cultural, institutional, firm-level, and board member characteristics, as well as for the nationality of the board of directors. To identify the relationship, we use—as instrumental variables for our diversity indices—the migratory distance from East Africa and the level of ultraviolet exposure in the directors’ country of nationality.
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Relative Peer Quality and Firm Performance
Bill Francis, Iftekhar Hasan, Sureshbabu Mani, Pengfei Ye
Journal of Financial Economics,
No. 1,
2016
Abstract
We examine the performance impact of the relative quality of a Chief Executive Officer (CEO)’s compensation peers (peers to determine a CEO's overall compensation) and bonus peers (peers to determine a CEO's relative-performance-based bonus). We use the fraction of peers with greater managerial ability scores (Demerjian, Lev, and McVay, 2012) than the reporting firm to measure this CEO's relative peer quality (RPQ). We find that firms with higher RPQ earn higher stock returns and experience higher profitability growth than firms with lower RPQ. Learning among peers and the increased incentive to work harder induced by the peer-based tournament contribute to RPQ's performance effect.
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Network Positioning, Co-Location or Both?
Muhamed Kudic
Innovation Networks in the German Laser Industry. Springer Cham,
2015
Abstract
Previous research indicates that firm innovativeness can either be determined by a firm’s position within the network dimension or by its position within the geographical dimension. Integrative studies addressing both distinct and combined proximity effects remains rare (cf. Whittington et al. 2009). Thus, we address in this Chapter the following research question: Are firm-level innovation outcomes positively or negatively related to network positioning effects, geographical co-location effects or combined proximity effects; and if the latter case is true, are the combined effects substitutional or complementary in nature? Panel data count models with fixed and random effects were used to analyze a firm’s innovative performance as measured by patent application counts. This last empirical analysis is organized as follows: We start with a short introduction in Sect. 12.1. Next, we provide a brief discussion of theoretical background in Sect. 12.2. In Sect. 12.3 we introduce our conceptual framework and derive our hypotheses. In Sect. 12.4 we introduce the data and methods used. Next, we outline the estimation strategy and report our empirical results in Sect. 12.5. Finally, we discuss our findings and conclude with a number of critical remarks in Sect. 12.6.
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Regulation, Innovation and Technology Diffusion - Evidence from Building Energy Efficiency Standards in Germany
Makram El-Shagi, Claus Michelsen, Sebastian Rosenschon
Discussionpapers des DIW Berlin,
No. 1371,
2014
Abstract
The impact of environmental regulation on technology diffusion and innovations is studied using a unique data set of German residential buildings. We analyze how energy efficiency regulations, in terms of minimum standards, affects energy-use in newly constructed buildings and how it induces innovation in the residential-building industry. The data used consists of a large sample of German apartment houses built between 1950 and 2005. Based on this information, we determine their real energy requirements from energy performance certificates and energy billing information. We develop a new measure for regulation intensity and apply a panel-error-correction regression model to energy requirements of low and high quality housing. Our findings suggest that regulation significantly impacts technology adoption in low quality housing. This, in turn, induces improvements in the high quality segment where innovators respond to market signals.
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The Structural Determinants of the US Competitiveness in the Last Decades: A 'Trade-Revealing' Analysis
Massimo Del Gatto, Filippo di Mauro, Joseph Gruber, Benjamin Mandel
ECB Working Paper,
No. 1443,
2012
Abstract
We analyze the decline in the U.S. share of world merchandise exports against the backdrop of a model-based measure of competitiveness. We preliminarily use constant market share analysis and gravity estimations to show that the majority of the decline in export shares can be associated with a declining share of world income, suggesting that the dismal performance of the U.S. market share is not a sufficient statistic for competitiveness. We then derive a computable measure of country-sector specific real marginal costs (i.e. competitiveness) which, insofar it is inferred from actual trade ows, is referred to as 'revealed'. Brought to the data, this measure reveals that most U.S. manufacturing industries are losing momentum relative to their main competitors, as we find U.S. revealed marginal costs to grow by more than 38% on average. At the sectoral level, the "Machinery" industry is the most critical.
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Assessing Competitiveness: How Firm-Level Data Can Help
Carlo Altomonte, Filippo di Mauro, Giorgio Barba Navaretti, Gianmarco Ottaviano
Bruegel Policy Contribution,
No. 16,
2011
Abstract
As policymakers refocus on growth, the ability to take a firm-level view is key to disentangling the various factors at the root of competitiveness, and thus to designing appropriate policies. Firm-level data provides critical information for the design of appropriate competitiveness measures that complement traditional macro analysis. More work remains to be done assembling firm-level information, but the variance of the distribution of firm characteristics already conveys important information in addition to standard averages. New indicators should be developed to translate the distribution of firm characteristics into indicators of competitiveness designed to capture not only average performance but also the heterogeneity of firm performance. This Policy Contribution builds on ongoing research within EFIGE (www.efige.org), a project to help identify the internal policies needed to improve the external competitiveness of the European Union.
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The Revealed Competitiveness of U.S. Exports
Massimo Del Gatto, Filippo di Mauro, Joseph Gruber, Benjamin Mandel
Federal Reserve Discussion Paper,
No. 1026,
2011
Abstract
The U.S. share of world merchandise exports has declined sharply over the last decade. Using data at the level of detailed industries, this paper analyzes the decline in U.S. share against the backdrop of alternative measures of the competitiveness of the U.S. economy. We document the following facts: (i) only a few industries contributed to the decline in any meaningful way, (ii) a large part of the drop was driven by the changing size of U.S. export industries and not the size of U.S. sales within those industries, (iii) in a gravity framework, the majority of the decline in the U.S. export share within industries was due to the declining U.S. share of world income, and (iv) in a computed structural measure of firm productivity, average U.S. export productivity has generally maintained its high level versus other countries over time. Overall, our analysis suggests that the dismal performance of the U.S. market share is not a sufficient statistic for competitiveness.
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