Corruption's asymmetric impacts on firm innovation

By Caroline Paunov. 2016

262 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/6da4dafecf216f91dda611dc3b7c8abf2415b2f9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. J. Amankwah‐Amoah
2. Tao Yuan
3. Qianqian Huang
4. Yongjia Lin
5. Xiaolan Fu
6. Zaheer Khan
7. X. Fu
8. Shlomo Yedidia Y. Tarba

In Information Systems

1. J. Amankwah‐Amoah
2. Tao Yuan
3. Qianqian Huang

In Sociology and Political Science

1. J. Amankwah‐Amoah
2. Tao Yuan
3. Qianqian Huang
4. Zaheer Khan
5. Shlomo Yedidia Y. Tarba
6. Samuel Adomako

Citations in the corpus

• Perceived corruption, business process digitization, and SMEs’ degree of internationalization in sub-Saharan Africa (2021, background): “Third, while some firmlevel studies find that corruption is harmful to firm growth, performance, and innovation (Fisman, & Svensson, 2007; De Rosa, Gooroochurn, & Gorg, 2015; Paunov, 2016), others”
• Does Political Corruption Impede Firm Innovation? Evidence from the United States (2019, methodology): “Finally, compared with surveybased corruption measures used by Anokhin and Schulze (2009) and Paunov (2016), we use a proxy for corruption based on traceable ex post corruptionrelated convictions.”
• Varieties in state capitalism and corporate innovation: Evidence from an emerging economy (2021, background): “For example, the costs of government services, such as licenses, could be higher (Murphy et al., 1993; Paunov, 2016).”