Liberalization, outward orientation and in-house R&amp;D activity of multinational and local firms: A quantitative exploration for Indian manufacturing

Kumar, Nagesh; Aggarwal, Aradhna

doi:10.1016/j.respol.2005.01.010

Cited by 151 publications

(123 citation statements)

References 23 publications

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“…The first variable captures the notion that exporting firms may be more willing to invest in R&D (or any other innovation spending) as the competition and the learning effect of exporting should enhance its innovative effort (Crespi and Zuniga 2012). The second variable controls for the possibility that foreign firms may be more innovative (and therefore more willing to spend more in R&D) than national firms potentially because of their superior management practices and human capital (Griffith 1999;Kumar and Aggarwal 2005;Girma and Gorg 2007). Additional controls include size (measured by the log of the number of employees) and age (measured by the log of the age).…”

Section: Variablesmentioning

confidence: 99%

Appropriability mechanisms, innovation, and productivity: evidence from the UK

Hall

Sena

2016

Economics of Innovation and New Technology

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We use an extended version of the well-established Crepon, Duguet, and Mairesse model [1998. "Research, Innovation and Productivity: An Econometric Analysis at the Firm Level." Economics of Innovation and New Technology 7 (2): 115-158] to model the relationship between appropriability mechanisms, innovation, and firm-level productivity. We enrich this model in three ways: (1) We compare estimates obtained using a broader definition of innovation spending to those that use R&D spending. (2) We assume that a firm simultaneously innovates and chooses among different appropriability methods to protect the innovation. (3) We estimate the impact of innovation output on firm productivity conditional on the choice of appropriability mechanism. We find that firms that innovate and rate formal methods for the protection of intellectual property highly are more productive than other firms, but that the same does not hold in the case of informal methods of protection, except possibly for large firms as opposed to SMEs. We also find that this result is strongest for firms in the services, trade, and utility sectors, and negative in the manufacturing sector.ARTICLE HISTORY

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Section: Variablesmentioning

confidence: 99%

Appropriability mechanisms, innovation, and productivity: evidence from the UK

Hall

Sena

2016

Economics of Innovation and New Technology

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“…Therefore, internally generated finance as reflected in PM could be an important R&D determinant (Himmelberg and Petersen, 1994;Pradhan, 2002;Kumar and Aggarwal, 2005).…”

Section: Firm-specific Factorsmentioning

confidence: 99%

R&D Strategy of Small and Medium Enterprises in India

Pradhan

2011

Science, Technology and Society

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Abstract:The liberalization of economic policies in the last two decades and intensifying market competition tend to be a cause of policy concern for the survival of SMEs in emerging economies like India. These SMEs account for the largest chunk of industrial units and employment in the national economy. Yet, most of them are competing with deeply inadequate resources, especially by means of weak technological capabilities. The present study has provided not only preliminary estimates on SME R&D investments in Indian manufacturing and their broad trends and patterns, but also contributed to the understanding of factors driving the SME in-house R&D activities. It shows that Indian SMEs continue to be vulnerable among all firms as they have the lowest incidence of doing in-house R&D and their R&D intensities have fallen in the last decade. Based on the results from three-step Censored Quantile Regression, this study has suggested a set of useful policy implications for enhancing SME R&D.

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“…The Prowess database is extensively used, and there is a large number of firm-level published studies using this database (e.g. Balakrishan, Pushpangadan and Babu, 2000;Kathuria, 2002;Kumar and Aggarwal, 2005;Marin and Sasidharan, 2010;Topalova, 2004). National Industrial Classification (NIC) 2008 code for the manufacturing sector is used in this study to categorise industrial groupings.…”

Section: Data Sourcesmentioning

confidence: 99%