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• W3042433265 abstract "Using World Bank Enterprise Survey data on bribery and patent applications, we try to study the causal linkage between firm level innovation and corruption in India. Specifically, we try to understand if corruption impacts innovation at the firm level. Since we find that innovation and corruption are jointly determined, we propose instrumental variables regression approach to identify this causal effect. We instrument bribery by exogenously determined external audit parameter and then use a recursive bivariate probit model combined with industry-fixed effects to reach our results. Our findings suggest that bribery has an adverse impact on innovation. The results of our study are much in contrast to the existing literature, which largely supports a positive relationship between innovation and corruption." @default.
• W3042433265 created "2020-07-23" @default.
• W3042433265 creator A5043040277 @default.
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• W3042433265 date "2020-09-21" @default.
• W3042433265 modified "2023-09-24" @default.
• W3042433265 title "INNOVATION AND CORRUPTION: DISSECTING CAUSAL LINKAGE USING PATENT APPLICATION INFORMATION FROM INDIA" @default.
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• W3042433265 doi "https://doi.org/10.1142/s0217590820450046" @default.
• W3042433265 hasPublicationYear "2020" @default.
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