Analysis of the Impact of Industrial Exposure and Exogenous Shocks on Countries’ Innovation Index Using the Bartik Instrument
Keywords:
Industrial exposure, innovation, Bartik Instrument, panel data, human capital, upper-middle-income countriesAbstract
This study examines the impact of industrial exposure and exogenous shocks on the innovation index. The main objective of the research is to analyze the effects of industrial transformations and the growth of national and global industries on countries’ innovation performance using the Bartik Instrument. The research variables include the innovation index, the share of primary industries, industry growth, and economic and institutional control variables for selected upper-middle-income countries during the period 2015–2023. The model estimation method is based on two-stage least squares (2SLS) panel data analysis using the Bartik Instrument, with control variables including GDP per capita, human capital, research and development expenditures, technological infrastructure, and institutional indicators. The findings indicate that greater industrial exposure, accompanied by the growth of key industries, has a positive and significant effect on the innovation index, such that countries with a higher share of growing industries have experienced higher levels of innovation. Other control variables also yield notable results; in particular, human capital and technological infrastructure amplify the effect of industrial exposure on innovation. The results further suggest that a targeted policy mix involving key industries, human capital, and technology can substantially enhance national innovation capacity in upper-middle-income countries.
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References
1. Aghion P, Howitt P. A model of growth through creative destruction. Econometrica. 1992;60(2):323-51. doi: 10.2307/2951599.
2. Blanchard OJ, Katz LF. Regional evolutions. Brookings Papers on Economic Activity. 1992(1):1-75. doi: 10.2307/2534556.
3. Autor DH, Dorn D, Hanson GH. The China syndrome: Local labor market effects of import competition in the United States. American Economic Review. 2013;103(6):2121-68. doi: 10.1257/aer.103.6.2121.
4. Beaudry P, Green DA, Sand BM. The great reversal in the demand for skill and cognitive tasks. Journal of Labor Economics. 2016;34(1):1-34. doi: 10.1086/682347.
5. Freeman RB. The exit-voice tradeoff in the labor market: Unionism and exit. Quarterly Journal of Economics. 1980;94(4):643-73. doi: 10.2307/1885662.
6. Bartik TJ. Who benefits from state and local economic development policies? 1991. doi: 10.17848/9780585223940.
7. Goldsmith-Pinkham P, Sorkin I, Swift H. Bartik instruments: What, when, why, and how. American Economic Review. 2018;108(10):2735-73. doi: 10.3386/w24408.
8. Borusyak K, Jaravel X. Consistency and inference in Bartik research designs. 2017.
9. Christian P, Barrett G. Spurious regressions and panel IV estimation. 2021.
10. de Chaisemartin C, Lei Z. Robust estimators for instrumental-variable panel designs, with an application to the effect of imports from China on US employment. 2021. doi: 10.2139/ssrn.3802200.
11. Bartik AW, Bertrand M, Cullen ZB, Glaeser EL, Luca M, Stanton CT. How are small businesses adjusting to COVID-19? Early evidence from a survey. 2020. doi: 10.3386/w26989.
12. Heppke-Falk KH, Tenhofen J, Wolff GB. The Macroeconomic Effects of Exogenous Fiscal Policy Shocks in Germany: A Disaggregated SVAR Analysis. 2006.
13. Zahller KA, Arnold V, Roberts RW. Using CSR Disclosure Quality to Develop Social Resilience to Exogenous Shocks: A Test of Investor Perceptions. Behavioral Research in Accounting. 2015;27(2):155-77. doi: 10.2308/bria-51118.
14. Oecd. The innovation imperative: Contributing to productivity, growth and well-being. 2015. doi: 10.1787/9789264239814-en.
15. Kosasih O, Hidayat K, Hutahayan B, Sunarti. Achieving Sustainable Customer Loyalty in the Petrochemical Industry: The Effect of Service Innovation, Product Quality, and Corporate Image with Customer Satisfaction as a Mediator. Sustainability. 2024;16(16):7111. doi: 10.3390/su16167111.
16. Ku EC. Digital marketing innovation and industrial marketing: evidence from restaurants’ service robots. Asia Pacific Journal of Marketing and Logistics. 2024;36(11):3099-117. doi: 10.1108/APJML-02-2024-0185.
17. Koh D, Tan A. Applications and impact of Industry 4.0: Technological innovations in occupational safety and health. Safety and Health at Work. 2024;15(1):1-10. doi: 10.1016/j.shaw.2024.01.001.
18. Okonkwo OC. Types of Knowledge Transferred Within International Interfirm Alliances in the Nigerian Oil Industry and the Potential to Develop Partners’ Innovation Capacity. Administrative Sciences. 2025;15(11):423. doi: 10.3390/admsci15110423.
19. Mahar AS, Zhang Y, Sadiq B, Gul RF. Sustainability Transformation Through Green Supply Chain Management Practices and Green Innovations in Pakistan's Manufacturing and Service Industries. Sustainability. 2025;17(5):2204. doi: 10.3390/su17052204.
20. Wang P, Xu X. Green finance and energy efficiency improvement: The role of green innovation and industrial upgrading. Innovation and Green Development. 2025;4(1):100200. doi: 10.1016/j.igd.2024.100200.
21. Khashei Varnamkhasti V, Farsi S. A Model for Creating and Implementing Ambidextrous Innovation in the Iranian Banking Industry. Journal of Business Management. 2025;16(4):1002-28.
22. Hahn J, Kuersteiner G, Santos A, Willigrod W. Overidentification in shift-share designs. 2024. doi: 10.2139/ssrn.3802200.
23. Breuer M. Bartik instruments: An applied introduction. Journal of Financial Research. 2022. doi: 10.2308/JFR-2021-003.
24. Ferri B. Novel shift-share instruments and their applications. 2022.
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Copyright (c) 2025 Khitam Hatem Hammood Alowaidi (Author); Sara Ghobadi; Jawad Kadhim Abed Al-bakri, Hossein Sharifi Renani (Author)

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