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Drivers of Firm Growth: Micro-evidence from Indian Manufacturing

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  • Mathew Nanditha
Abstract
The paper presents micro evidence on firm dynamics for enterprises in Indian Manufacturing sectors on the grounds of Prowess database provided by the Centre for Monitoring Indian Economy (CMIE) covering the period 1991-2010. The parameterization of the distributions of growth exhibit high level heterogeneity displayed among firms even within the same sector, which widens over time. The transition probabilities matrix reveals the coexistence of firms with very different characteristics and performance within sectors. Given the wide heterogeneities, the paper resorts to quantile regression to identify the differential effect of regressors at different deciles of the conditional distribution.

Suggested Citation

  • Mathew Nanditha, 2013. "Drivers of Firm Growth: Micro-evidence from Indian Manufacturing," Discussion Papers 2013/161, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    • Handle: RePEc:pie:dsedps:2013/161
    Note: ISSN 2039-1854
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    Cited by:

    1. Mercedes Campi & Marco Due~nas & Le Li & Huabin Wu, 2018. "Diversification, economies of scope, and exports growth of Chinese firms," Papers 1801.02681, arXiv.org, revised Jan 2018.
    2. Francesco Lamperti & Mariana Mazzucato & Andrea Roventini & Gregor Semieniuk, 2019. "The Green Transition: Public Policy, Finance, and the Role of the State," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 88(2), pages 73-88.
    3. Dosi, Giovanni & Mathew, Nanditha & Pugliese, Emanuele, 2019. "What a firm produces matters: diversi cation, coherence and performance of Indian manufacturing," MERIT Working Papers 2019-013, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Giulio Bottazzi & Taewon Kang & Federico Tamagni, 2023. "Persistence in firm growth: inference from conditional quantile transition matrices," Small Business Economics, Springer, vol. 61(2), pages 745-770, August.
    5. Matthias Duschl & Shi-Shu Peng, 2013. "Chinese firm dynamics and the role of ownership type A conditional estimation approach of the Asymmetric Exponential Power (AEP) density," Papers on Economics and Evolution 2014-01, Philipps University Marburg, Department of Geography.
    6. Nanditha Mathew & George Paily, 2022. "STI-DUI innovation modes and firm performance in the Indian capital goods industry: Do small firms differ from large ones?," The Journal of Technology Transfer, Springer, vol. 47(2), pages 435-458, April.
    7. Alex Coad & Nanditha Mathew & Emanuele Pugliese, 2017. "What's good for the goose ain't good for the gander: cock-eyed counterfactuals and the performance effects of R&D," LEM Papers Series 2017/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Jens K. Perret, 2019. "Regional Convergence in the Russian Federation: Spatial and Temporal Dynamics," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(1), pages 11-39, March.
    9. Jens K. Perret, 2019. "Re-Evaluating the Knowledge Production Function for the Regions of the Russian Federation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(2), pages 670-694, June.
    10. A. Arrighetti & R. Brancati & A. Lasagni & A. Maresca, 2015. "Firms’ heterogeneity and performance in manufacturing during the great recession," Economics Department Working Papers 2015-EP03, Department of Economics, Parma University (Italy).
    11. Wadho, Waqar & Goedhuys, Micheline & Chaudhry, Azam, 2019. "Young innovative companies and employment creation, evidence from the Pakistani textiles sector," World Development, Elsevier, vol. 117(C), pages 139-152.
    12. Giovanni Dosi & Nanditha Mathew & Emanuele Pugliese, 2019. "What a firm produces matters: diversification, coherence and performance of Indian manufacturing firms," LEM Papers Series 2019/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Dosi, Giovanni & Mathew, Nanditha & Pugliese, Emanuele, 2022. "What a firm produces matters: Processes of diversification, coherence and performances of Indian manufacturing firms," Research Policy, Elsevier, vol. 51(8).
    14. Paulo Ricardo S. Oliveira & Jose Maria F. J. da Silveira & David S. Bullock, 2020. "Innovation in GMOs, technological gap, demand lag, and trade," Agribusiness, John Wiley & Sons, Ltd., vol. 36(1), pages 37-58, January.
    15. Alessandro Arrighetti & Fabio Landini & Andrea Lasagni, 2021. "Swimming upstream throughout the turmoil: Evidence on firm growth during the great recession," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(3), pages 322-344, July.
    16. Torreggiani, Sofia & Andreoni, Antonio, 2023. "Rising to the challenge or perish? Chinese import penetration and its impact on growth dynamics of manufacturing firms in South Africa," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 199-212.
    17. Diti Goswami & Sourabh Bikas Paul, 2020. "Labor Reforms in Rajasthan: A boon or a bane?," Papers 2012.01016, arXiv.org.
    18. Marco Grazzi & Nanditha Mathew & Daniele Moschella, 2021. "Making one’s own way: jumping ahead in the capability space and exporting among Indian firms," Journal of Evolutionary Economics, Springer, vol. 31(3), pages 931-957, July.
    19. Friesenbichler, Klaus S. & Hoelzl, Werner, 2022. "Firm-growth and Functional Strategic Domains: Exploratory evidence for differences between frontier and catching-up economies," Journal of Economics and Business, Elsevier, vol. 119(C).

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    More about this item

    Keywords

    Firm Dynamics; AEP Distribution; Heterogeneity; Quantile Regression.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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