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Erschienen in: Small Business Economics 4/2021

23.08.2020

Firm innovation and global value chain participation

verfasst von: Ketan Reddy, Radeef Chundakkadan, Subash Sasidharan

Erschienen in: Small Business Economics | Ausgabe 4/2021

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Abstract

The objective of this paper is to examine the relationship between innovation and firms’ participation in global value chains (GVCs). To achieve this objective, we use rich firm-level data from the World Bank Enterprise Survey (WBES), spanning the period of 2006–2017, belonging to 90 countries. Accounting for endogeneity arising from reverse causality, our study finds firm innovation to be a driver of firm GVC participation across countries. These findings are robust to alternative measures of innovation and various sub-sample analysis.

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Fußnoten
1
Adaptive innovation refers to innovation undertaken by MNC, which is then transferred to its subsidiaries in emerging economies for adaptation and further use.
 
2
Reverse innovation refers to innovation generated by subsidiaries of an MNC located in an emerging economy, with a view of meeting regional needs which are then further taken up to address the global needs.
 
3
A value chain comprises a set of activities that are involved in bringing a product from its inception to the final consumer (Minetti et al. 2019; Heuser and Mattoo 2017).
 
5
GVC participation is measured as the sum of countries, both backward and forward integration (Montalbano et al. 2018). To measure GVC participation, we make use of the EORA multi-region input-output available at https://​worldmrio.​com/​unctadGVC/​
 
6
The descriptive analysis based on EORA I-O table is only to highlight the prominence of GVCs in the present-day trade framework. The main analysis of the study is based on the WBES an enterprise-level survey database.
 
7
For example, India introduced ‘assemble in India’ initiative to integrate the country with the world market (Government of India 2020).
 
8
The three broad stages of value addition are upstream, midstream, and downstream and the value addition for upstream (R&D, design, management) and downstream (Packaging, sales, after sales) activities is the largest, whereas midstream (assembly of products) has relatively lower value-addition (Marín-Odio 2014; Benkovskis et al. 2019).
 
9
The WEBS database provides information only regarding whether a firm provides training for its employees or not and does not provide information differentiating the type of training provided by a firm to its employees Hence, paving the way for a binary variable as used in our empirical analysis.
 
10
We also use measures of process innovation, and R&D of the firm for robustness analysis.
 
11
Innovation system basically accounts for the role of institutions and organizations that systematically interact thereby shaping and guiding the direction of technological change in an economy (Pietrobelli and Rabellotti 2011).
 
12
Rodrik (2006) claimed that ‘China is special’ given the high level of export sophistication of its export basket.
 
14
We also identify a panel of 547 firms for 6 countries corresponding to 1212 firm-year observations. We find a significant and positive impact of innovation on firm GVC participation across this sample. Moreover, taking into account the importance of sunk cost, we incorporate prior GVC status of the firm in our bi-probit model. The results highlight a positive impact of prior GVC participation on current GVC participation of the firm. Further, the positive impact of innovation on firm GVC participation remains significant. An important point to note here is that this panel of firms corresponding to 6 countries do not include information on firms belonging to key GVC participating countries like China, and other east Asian countries. The results however are qualitatively similar to Table 3. The same is available from the authors upon request.
 
15
Alternatively, we also run IV-probit estimations and the results are qualitatively similar in terms of direction and significance.
 
16
The exogeneity test is established following the null H0: ρ = 0 and Ha: ρ ≠ 0, where ρ captures the correlation coefficient between the residuals from GVC and Innovation equation. For a detailed review kindly refer to Wilde (2000) and Monfardini and Radice (2008) and Marra and Radice (2011).
 
17
We thank the referee for this valuable suggestion.
 
18
The Innovation_new is the sum of the firm’s response to the following question: (1) “Has this firm introduced, in the last three years, new or significantly improved products or services (Yes/ No)”, and (2) “Were any of the new or significantly improved products or services also new for the firm’s main market (Yes/No)”.
 
19
for a brief overview of the survey methodology, kindly refer to https://​www.​enterprisesurvey​s.​org/​methodology
 
20
This is analogous to the two-step Heckman model (Heckman 1979).
 
21
In this study, we identify a panel we do identify a panel of 6 countries and the results are qualitatively similar. Refer to footnote 14 for more details.
 
23
Despite this drawback, our definition of GVC is in line with the firm-level literature on GVCs which proxies for GVC participation of firm through its simultaneous participation in exporting and importing activities (Antràs 2020).
 
24
Refer to Table 10 in Appendix.
 
Literatur
Zurück zum Zitat Jugend, D., Jabbour, C. J. C., Scaliza, J. A. A., Rocha, R. S., Junior, J. A. G., Latan, H., & Salgado, M. H. (2018). Relationships among open innovation, innovative performance, government support and firm size: Comparing Brazilian firms embracing different levels of radicalism in innovation. Technovation, 74, 54–65. https://doi.org/10.1016/j.technovation.2018.02.004.CrossRef Jugend, D., Jabbour, C. J. C., Scaliza, J. A. A., Rocha, R. S., Junior, J. A. G., Latan, H., & Salgado, M. H. (2018). Relationships among open innovation, innovative performance, government support and firm size: Comparing Brazilian firms embracing different levels of radicalism in innovation. Technovation, 74, 54–65. https://​doi.​org/​10.​1016/​j.​technovation.​2018.​02.​004.CrossRef
Zurück zum Zitat Schmitz Jr., J. A. (2005). What determines productivity? Lessons from the dramatic recovery of the US and Canadian iron ore industries following their early 1980s crisis. Journal of Political Economy, 113(3), 582–625. https://doi.org/10.1086/429279.CrossRef Schmitz Jr., J. A. (2005). What determines productivity? Lessons from the dramatic recovery of the US and Canadian iron ore industries following their early 1980s crisis. Journal of Political Economy, 113(3), 582–625. https://​doi.​org/​10.​1086/​429279.CrossRef
Zurück zum Zitat Koopman, R., Powers, W., Wang, Z., & Wei, S. J. (2010). Give credit where credit is due: tracing value added in global production chains. Working Paper 16426. National Bureau of Economic Research. https://doi.org/10.3386/w16426. Koopman, R., Powers, W., Wang, Z., & Wei, S. J. (2010). Give credit where credit is due: tracing value added in global production chains. Working Paper 16426. National Bureau of Economic Research. https://​doi.​org/​10.​3386/​w16426.
Metadaten
Titel
Firm innovation and global value chain participation
verfasst von
Ketan Reddy
Radeef Chundakkadan
Subash Sasidharan
Publikationsdatum
23.08.2020
Verlag
Springer US
Erschienen in
Small Business Economics / Ausgabe 4/2021
Print ISSN: 0921-898X
Elektronische ISSN: 1573-0913
DOI
https://doi.org/10.1007/s11187-020-00391-3

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