Corporate Social Responsibility and Firm Financial Performance: The Mediating Role of Productivity
Iftekhar Hasan, Nada Kobeissi, Liuling Liu, Haizhi Wang
Journal of Business Ethics,
Nr. 3,
2018
Abstract
This study treats firm productivity as an accumulation of productive intangibles and posits that stakeholder engagement associated with better corporate social performance helps develop such intangibles. We hypothesize that because shareholders factor improved productive efficiency into stock price, productivity mediates the relationship between corporate social and financial performance. Furthermore, we argue that key stakeholders’ social considerations are more valuable for firms with higher levels of discretionary cash and income stream uncertainty. Therefore, we hypothesize that those two contingencies moderate the mediated process of corporate social performance with financial performance. Our analysis, based on a comprehensive longitudinal dataset of the U.S. manufacturing firms from 1992 to 2009, lends strong support for these hypotheses. In short, this paper uncovers a productivity-based, context-dependent mechanism underlying the relationship between corporate social performance and financial performance.
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Differences Make a Difference: Diversity in Social Learning and Value Creation
Yiwei Fang, Bill Francis, Iftekhar Hasan
Journal of Corporate Finance,
2018
Abstract
Prior research has demonstrated that CEOs learn privileged information from their social connections. Going beyond the importance of the number of social ties in a CEO's social network, this paper studies the value generated from a diverse social environment. We construct an index of social-network heterogeneity (SNH) that captures the extent to which CEOs are connected to people of different demographic attributes and skill sets. We find that higher CEO SNH leads to greater firm value through the channels of better corporate innovation and diversified M&As. Overall, the evidence suggests that CEOs' exposure to human diversity enhances social learning and creates greater growth opportunities for firms.
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Economic Transition in Unified Germany and Implications for Korea
Hyung-Gon Jeong, Gerhard Heimpold
H.-G. Jeong and G. Heimpold (eds.): Economic Transition in Unified Germany and Implications for Korea. Policy References 17-13. Sejong: Korea Institute for International Economic Policy,
2017
Abstract
The reunification of Germany, which marked the end of the Cold War in the 20th century, is regarded as one of the most exemplary cases of social integration in human history. Nearly three decades after the German reunification, the economic and social shocks that occurred at the beginning of the reunification process have largely been resolved. Moreover, the unified Germany has grown into one of the most advanced economies in the world.
The unification process that Germany underwent may not necessarily be the way that the Republic of Korea would choose. However, the economic and social exchanges between East and West Germany prior to unification, and the cooperation in a myriad of policies based on these exchanges, served as the crucial foundation for unification. The case of Germany will surely help us find a better way for the re-unification of the Korean Peninsula.
In this context, this is the first edition of a joint research which provides diverse insights on social and economic issues during the process of unification. It consists of nine chapters whose main topics include policies on macroeconomic stabilization, the privatization of state-owned enterprises in East Germany, labor policies and the migration of labor, integration of the social safety nets of the North and South, and securing finances for reunification. To start with, the first part covers macroeconomic stabilization measures, which include policies implemented by the federal government of Germany to overcome macroeconomic shocks directly after the reunification. There was a temporary setback in the economy at the initial phase of reunification as the investment per GDP went down and the level of fiscal debt escalated, reverting to its original trend prior to the reunification. While it appears the momentum for growth was compromised by reunification from the perspective of growth rate of real GDP, this state did not last long and benefits have outpaced the costs since 2000.
In the section which examines the privatization of state-owned enterprises in East Germany, an analysis was conducted on the modernization of industrial infrastructure of East German firms. There was a surge in investment in East German area at the beginning stages but this was focused on a specific group of firms. Most of the firms were privatized through unofficial channels, with a third of these conducted in a management buy-out (MBO) process that was highly effective. Further analysis of a firm called Jenoptik, which was successfully bailed out, is incorporated as to draw implications of its accomplishments.
In the section on migration, we examine how the gap between the unemployment rates in the West and East have narrowed as the population flow shifted from the West to East. Consequently, there was no significant deviation in terms of the Gross Regional Domestic Product (GRDP) per capita in each state of East Germany. However, as the labor market stabilized in East Germany and population flows have weakened, the deviation will become larger. Meanwhile, if we make a prediction about the movement of population between the North and the South, which show a remarkable difference in their economic circumstances, a radical reunification process such as Germany’s case would force 7% of the population of the North to move towards the South. Upon reunification, the estimated unemployment rate in North Korea would remain at least 30% for the time being. In order to reduce the initial unemployment rate, it is crucial to design a program that trains the unemployed and to build a system that predicts changes in labor demand.
It seems nearly impossible to apply the social safety nets of the South to the North, as there is a systemic difference in ideologies. Taking steps toward integration would be the most suitable option in the case of the Koreas. We propose to build a sound groundwork for stabilizing the interest rates and exchange rates, maintain stable fiscal policies, raise momentum for economic growth and make sure people understand the means required to financially support the North in order to reduce the gap between the two.
This book was jointly organized and edited by Dr. Hyung-gon Jeong of the Korea Institute for International Economic Policy (KIEP) and Dr. Gerhard Heimpold of the Halle Institute for Economic Research (IWH). We believe that this report, which examines numerous social and economic agendas that emerged during the reunification of Germany, will provide truly important reference for both Koreas. It is also our view that it will serve as a stepping-stone to establish policies in regard to South-North exchanges across numerous sectors prior to discussions of reunification. KIEP will continue to work with IWH and contribute its expertise to the establishment of grounds for unification policies.
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Criminal Network Formation and Optimal Detection Policy: The Role of Cascade of Detection
Liuchun Deng, Yufeng Sun
Journal of Economic Behavior and Organization,
September
2017
Abstract
This paper investigates the effect of cascade of detection, how detection of a criminal triggers detection of his network neighbors, on criminal network formation. We develop a model in which criminals choose both links and actions. We show that the degree of cascade of detection plays an important role in shaping equilibrium criminal networks. Surprisingly, greater cascade of detection could reduce ex ante social welfare. In particular, we prove that full cascade of detection yields a weakly denser criminal network than that under partial cascade of detection. We further characterize the optimal allocation of the detection resource and demonstrate that it should be highly asymmetric among ex ante identical agents.
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Does Social Capital Matter in Corporate Decisions? Evidence from Corporate Tax Avoidance
Iftekhar Hasan, Chun-Keung (Stan) Hoi, Qiang Wu, Hao Zhang
Journal of Accounting Research,
Nr. 3,
2017
Abstract
We investigate whether the levels of social capital in U.S. counties, as captured by strength of civic norms and density of social networks in the counties, are systematically related to tax avoidance activities of corporations with headquarters located in the counties. We find strong negative associations between social capital and corporate tax avoidance, as captured by effective tax rates and book-tax differences. These results are incremental to the effects of local religiosity and firm culture toward socially irresponsible activities. They are robust to using organ donation as an alternative social capital proxy and fixed effect regressions. They extend to aggressive tax avoidance practices. Additionally, we provide corroborating evidence using firms with headquarters relocation that changes the exposure to social capital. We conclude that social capital surrounding corporate headquarters provides environmental influences constraining corporate tax avoidance.
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Transferability of Skills across Sectors and Heterogeneous Displacement Costs
Moises Yi, Steffen Müller, Jens Stegmaier
American Economic Review: Papers and Proceedings,
Nr. 5,
2017
Abstract
We use rich German administrative data to estimate new measures of skill transferability between manufacturing and other sectors. These measures capture the value of workers' human capital when applied in different sectors and are directly related to workers' displacement costs. We estimate these transferability measures using a selection correction model, which addresses workers' endogenous mobility, and a novel selection instrument based on the social network of workers. Our results indicate substantial heterogeneity in how workers can transfer their skills when they move across sectors, which implies heterogeneous displacement costs that depend on the sector to which workers reallocate.
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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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Innovation Network
Daron Acemoglu, Ufuk Akcigit, William R. Kerr
Proceedings of the National Academy of Sciences of the United States of America (PNAS),
Nr. 41,
2016
Abstract
Technological progress builds upon itself, with the expansion of invention in one domain propelling future work in linked fields. Our analysis uses 1.8 million US patents and their citation properties to map the innovation network and its strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975–1994. The interaction of this preexisting network structure with patent growth in upstream technology fields has strong predictive power on future innovation after 1995. This pattern is consistent with the idea that when there is more past upstream innovation for a particular technology class to build on, then that technology class innovates more.
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The Structure and Evolution of Inter-sectoral Technological Complementarity in R&D in Germany from 1990 to 2011
T. Broekel, Matthias Brachert
Journal of Evolutionary Economics,
Nr. 4,
2015
Abstract
Technological complementarity is argued to be a crucial element for effective R&D collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis. The results illustrate sectors being complements both from a dyadic and portfolio/network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
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Taking the First Step - What Determines German Laser Source Manufacturers' Entry into Innovation Networks?
Jutta Günther, Muhamed Kudic, Andreas Pyka
International Journal of Innovation Management,
Nr. 5,
2015
Abstract
Early access to technological knowledge embodied in the industry’s innovation network can provide an important competitive advantage to firms. While the literature provides much evidence on the positive effects of innovation networks on firms’ performance, not much is known about the determinants of firms’ initial entry into such networks. We analyze firms’ timing and propensity to enter the industry’s innovation network. More precisely, we seek to shed some light on the factors affecting the duration between firm founding and its first cooperation event. In doing so, we apply a unique longitudinal event history dataset based on the full population of German laser source manufacturers. Innovation network data stem from official databases providing detailed information on the organizations involved, subject of joint research and development (R&D) efforts as well as start and end times for all publically funded R&D projects between 1990 and 2010. Estimation results from a non-parametric event history model indicate that micro firms enter the network later than small-sized or large firms. An in-depth analysis of the size effects for medium-sized firms provides some unexpected findings. The choice of cooperation type makes no significant difference for the firms’ timing to enter the network. Finally, the analysis of geographical determinants shows that cluster membership can, but do not necessarily, affect a firm’s timing to cooperate.
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