The Geography of Patenting In India: Patterns and Determinants

Pradhan, Jaya Prakash (2013): The Geography of Patenting In India: Patterns and Determinants.

Abstract

This study examines the regional profiles of patenting activities in India. The number of most dynamic sub-national spaces in patent applications is found to be limited to just two to three regions or states. Regionally, West India, North India and South India mostly dominated the patenting activities during 1990‒2010. The patent performance is highly concentrated among individual states: the two leading states, namely Maharashtra and Delhi accounted for more than half of total patent applications filed in India in the study period. Empirical analysis further emphasized that states patenting activities are shaped by the size of local markets, availability of skilled labour force, knowledge institutions and urban centres.

• Item Type: MPRA Paper
• Language: English
• Keywords: Patent, Region, India
• Subjects: N - Economic History > N7 - Transport, Trade, Energy, Technology, and Other Services > N75 - Asia including Middle East; O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O30 - General; P - Economic Systems > P2 - Socialist Systems and Transitional Economies > P25 - Urban, Rural, and Regional Economics

References

Abdih, Y. and F. Joutz (2006), ‘Relating the Knowledge Production Function to Total Factor Productivity: An Endogenous Growth Puzzle’, IMF Staff Papers, 53(2), pp. 242–271.

Acs, Z. J., L. Anselin and A. Varga (2002), ‘Patents and innovation counts as measures of regional production of new knowledge’, Research Policy, 31(7), pp.1069–1085.

Allison, P. D. and R. P. Waterman (2002), ‘Fixed effects negative binomial regression models’, Socological Methodology, 32(1), pp. 247–265.

Allison, P.A. (2012), Logistic Regression Using SAS: Theory & Application, North Carolina, USA: SAS Press.

Andersson, R., J. M. Quigley and M. Wilhelmsson (2005), ‘Agglomeration and the spatial distribution of creativity’, Papers in Regional Science, 84(3), pp. 445–464.

Arbo, P. and P. Benneworth (2007), Understanding the Regional Contribution of Higher Education Institutions: a Literature Review, OECD Education Working Paper, No. 9, Paris: Organisation for Economic Co-Operation and Development.

Asheim, B. (2001), ‘Localized Learning, Innovation and Regional Clusters’, in Mariussen, A. (ed.), Cluster policies - Cluster development?, Nordregio Report 2001:2, pp. 39–58, Nordic Centre for Spatial Development: Stockholm.

Asheim, B. and A. Isaksen (2002), ‘Regional innovation system: The integration of local ‘sticky’ and global ‘ubiquitous’ knowledge’, Journal of Technology Transfer, 27(1), pp. 77–86.

Asheim, B. T. and A. Isaksen (1997), ‘Location, agglomeration and innovation: Towards regional innovation systems in norway?’, European Planning Studies, 5(3), 299–330.

Athey, G., C. Glossop, B. Harrison, M. Nathan and C. Webber (2007), Innovation and the city: How innovation has developed in five city-regions, London: National Endowment for Science, Technology and the Arts (NESTA).

Audretsch, D. B. and M. P. Feldman (1996), ‘R&D spillovers and the geography of innovation and production’, The American Economic Review, 86(3), pp. 630–640.

Bettencourt, L.M.A., J. Lobo, D. Strumsky (2007), ‘Invention in the city: Increasing returns to patenting as a scaling function of metropolitan size’, Research Policy, 36(1), pp. 107–120.

Cameron, C. and P. Trivedi (1998), Regression Analysis of Count Data, New York: Cambridge University Press.

Caniëls, M.C.J. (1996), ‘Regional Differences in Technology: Theory and Empirics’, MERIT Research Memoranda, No. 96–005, Maastricht: Maastricht Economic Research Institute on Innovation and Technology.

Castells, M. and Hall, P. (1994), Technopoles of the World –the Making of Twenty-first-Century Industrial Complexes, London and New York: Routledge.

Chaminade, C. (2011), ‘Exploring the role of regional innovation systems and institutions in global innovation networks’, Circle Working Paper, No. 2011/15, Centre for Innovation, Research and Competence in the Learning Economy, Lund: Lund University.

Cheung, K., and P. Lin (2004), ‘Spillover effects of FDI on innovation in China: Evidence from the provincial data’, China Economic Review, 15(1), pp. 25–44.

Cooke, P. (2001), ‘Regional innovation systems, clusters and the knowledge economy’, Industrial and Corporate Change, 10(4), pp. 945–974.

Das, K. (ed.) (2005), Indian Industrial Clusters, Aldershot, UK: Ashgate.

Desrochers, P. (1998), ‘On the Abuse of Patent as Economic Indicators’, The Quaterly Journal of Austrian Economics, 1(4), pp. 51–74.

Doloreux, D. and S. Parto (2004), ‘Regional Innovation Systems: A Critical Synthesis’, INTECH Discussion Paper, No. 2004/17, The United Nations University, Institute for New Technologies: Maastricht.

Drukker, D. M. (2007), ‘My raw count data contains evidence of both overdispersion and excess zeros’, STATA FAQ. Available at: http://www.stata.com/support/faqs/statistics/overdispersion-and-excess-zeros/.

European Commission (2011), Connecting Universities to Regional Growth: A Practical Guide, Brussels: DG for Regional Policy.

Faggian, A. and P. McCann (2009), ‘Human capital, graduate migration and innovation in British regions’, Cambridge Journal of Economics, 33(2), pp.317–333.

Fu, X. (2008), ‘Foreign Direct Investment, Absorptive Capacity and Regional Innovation Capabilities: Evidence from China’, Oxford Development Studies, 36(1), pp. 89–110.

Green, W. (2005), ‘Functional Form and Heterogeneity in Models for Count Data’, Foundations and Trends in Econometrics, 1(2), pp. 113–218.

Green, W. (2008), ‘Functional forms for the negative binomial model for count data’, Economics Letters, 99(3), pp. 585–590.

Griliches, Z. (1990), ‘Patent Statistics as Economic. Indicators: A Survey’, Journal of Economic Literature, 28(4), pp. 1661–1707.

Hausman, J., B. H. Hall, and Z. Griliches (1984), ‘Econometric Models for Count Data with an Application to the Patents-R&D Relationship’, Econometrica, 52(4), 909–938.

Hilbe, J. M. (2007), Negative Binomial Regression, Cambridge, UK: Cambridge University Press.

Jones, C. (1995), ‘R&D-Based Models of Economic Growth’, Journal of Political Economy, 103(4), pp. 759–84.

Jovanovic, B. and Y. Nyarko (1995), ‘The transfer of human capital’, Journal of Economic Dynamics and Control, 19(5–7), pp. 1033–1064.

Komninos, N. (2002), Intelligent Cities: Innovation, knowledge systems and digital spaces, London and New York: Taylor and Francis.

Kortum, S. (1997), ‘Research, Patenting, and Technological Change’, Econometrica, 65(6), pp. 1389–1419.

Krugman, P. (1991), ‘Increasing Returns and Economic Geography’, Journal of Political Economy, 99(3), pp.483–499.

Lawson, C. (1997), ‘Territorial Clustering and High Technology Innovation: From Industrial Districts to Innovative Milieux’, ESRC Centre for Business Research Working Paper, No. 54, Cambridge: University of Cambridge.

Lim, U. (2003), ‘The Spatial Distribution of Innovative Activity in U.S. Metropolitan Areas: Evidence from Patent Data’, The Journal of Regional Analysis and Policy, 33(2), pp. 97-126.

Long, J. S. (1997), Regression Models for Categorical and Limited Dependent Variables, Thousand Oaks, CA: Sage Publications.

Lundvall, B-Å and S. Borrás (1997), The Globalising Learning Economy: Implications for Innovation Policy. Brussels: Commission of the EU.

Muro, M. And B. Katz (2010), ‘The New ‘Cluster Moment’: How Regional Innovation Clusters can Foster the Next Economy’, Brookings Institution Paper, Washington, DC: Metropolitan Policy Program at Brookings.

OECD (2007), Higher Education and Regions: Globally Competitive, Locally Engaged, Paris: Organisation for Economic Co-Operation and Development.

Pavitt, K. (1984), ‘Sectoral patterns of technical change: towards a taxonomy and a theory’, Research Policy, 13(6), pp. 343–373.

Porter, M. E. (1998), ‘Clusters and the new economics of competition’, Harvard Business Review, 76(6), pp.77–90.

Pradhan, J. P. (2011), ‘Regional heterogeneity and firms’ R&D in India’, Innovation and Development, 1(2), pp. 259–282.

Romer, P. M. (1990), ‘Endogenous Technological Change’, Journal of Political Economy, 98(5), pp. S71–S102.

Romer, P.M. (1996), ‘Why, indeed, in America? Theory, History, and the Origins of Modern Economic Growth’, American Economic Review, 86(2), pp.202–206.

Rothwell, J. (2012), ‘Global Innovation: The Metropolitan Edition’, The New Republic, March 16.

Schmookler, J. (1966), Invention and Economic Growth, Cambridge: Harvard University Press.

Simmie, J., J. Sennett, P. Wood and D. Hart (2002), ‘Innovation in Europe: A tale of networks, knowledge and trade in five cities’, Regional Studies, 36(1), pp. 47–64.

STATA (2013), ‘xtnbreg — Fixed-effects, random-effects, & population-averaged negative binomial models’, STATA Manuals, No. 13, pp. 1–13, College Station, Texas: STATA Press.

UNCTAD (1999), World Investment Report 1999: Foreign Direct Investment and the Challenge of Development, New York and Geneva: United Nations.

UNCTAD (2001), World Investment Report 2001: Promoting Linkages, New York and Geneva: United Nations.

Vuong, Q. H. (1989), ‘Likelihood ratio tests for model selection and non-nested hypotheses’, Econometrica, 57(2), pp. 307–333.