IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v162y2021ics0040162520311537.html
   My bibliography  Save this article

Is knowledge spillover from human capital investment a catalyst for technological innovation? The curious case of fourth industrial revolution in BRICS economies

Author

Listed:
  • Hu, Gang-Gao

Abstract

The issue of knowledge spillovers, and technological innovation has received immense importance, particularly in the Fourth Industrial Revolution. In this context, this endeavor to carry out this study aims to empirically examine the determinants of technological innovation of Brazil, Russia, India, China, and South Africa (BRICS) countries, using the data that spans from the year 1990 to 2017. Moreover, this study further aims to investigate the role of human capital in mediating the relationship between the spillovers, through imports, foreign direct investment, and the technological progress that will prevail. This study is confined to the employment of the Westerlund (2007) cointegration and augmented mean group (AMG) method for the analysis. The cointegration method outcomes show that there is a stable, long-run equilibrium relationship among the variables in all the five models that have been considered. The results of the AMG method show that in the long run, an increase in the gross domestic product, human capital, research and development expenditures, and the foreign direct investment spillovers, increases the technological innovation in BRICS economies. The results also suggest that an improvement in the human capital strengthens the relationship between technological innovation and the spillovers. Hence, the knowledge spillovers and the developed human capital are more likely to affect the total technological innovation.

Suggested Citation

  • Hu, Gang-Gao, 2021. "Is knowledge spillover from human capital investment a catalyst for technological innovation? The curious case of fourth industrial revolution in BRICS economies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    • Handle: RePEc:eee:tefoso:v:162:y:2021:i:c:s0040162520311537
    DOI: 10.1016/j.techfore.2020.120327
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162520311537
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2020.120327?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ghebrihiwet, Nahom, 2019. "FDI technology spillovers in the mining industry: Lessons from South Africa's mining sector," Resources Policy, Elsevier, vol. 62(C), pages 463-471.
    2. Chang, Pao-Li & Lu, Chia-Hui, 2012. "Risk and the technology content of FDI: A dynamic model," Journal of International Economics, Elsevier, vol. 86(2), pages 306-317.
    3. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    4. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    5. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    6. Kapetanios, G. & Pesaran, M. Hashem & Yamagata, T., 2011. "Panels with non-stationary multifactor error structures," Journal of Econometrics, Elsevier, vol. 160(2), pages 326-348, February.
    7. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    8. Richard Harris, 2009. "Spillover and Backward Linkage Effects of FDI: Empirical Evidence for the UK," SERC Discussion Papers 0016, Centre for Economic Performance, LSE.
    9. Magnus Blomström & Ari Kokko & Mario Zejan, 2000. "Technology, Market Characteristics and Spillovers," Palgrave Macmillan Books, in: Foreign Direct Investment, chapter 10, pages 160-176, Palgrave Macmillan.
    10. Su, Chi-Wei & Khan, Khalid & Tao, Ran & Umar, Muhammad, 2020. "A review of resource curse burden on inflation in Venezuela," Energy, Elsevier, vol. 204(C).
    11. Su, Chi-Wei & Qin, Meng & Tao, Ran & Umar, Muhammad, 2020. "Financial implications of fourth industrial revolution: Can bitcoin improve prospects of energy investment?," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    12. Keller, Wolfgang, 2010. "International Trade, Foreign Direct Investment, and Technology Spillovers," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 793-829, Elsevier.
    13. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    14. Wipo, 2017. "Global Innovation Index 2017," WIPO Economics & Statistics Series, World Intellectual Property Organization - Economics and Statistics Division, number 2017:gii, April.
    15. Muhammad Ali & Uwe Cantner & Ipsita Roy, 2017. "Knowledge Spillovers Through FDI and Trade: The Moderating Role of Quality-Adjusted Human Capital," Economic Complexity and Evolution, in: Andreas Pyka & Uwe Cantner (ed.), Foundations of Economic Change, pages 357-391, Springer.
    16. Ang, James B. & Madsen, Jakob B. & Rabiul Islam, Md., 2011. "The effects of human capital composition on technological convergence," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 465-476, September.
    17. Mourad Dakhli & Dirk De Clercq, 2004. "Human capital, social capital, and innovation: a multi-country study," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 16(2), pages 107-128, March.
    18. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    19. Blalock, Garrick & Gertler, Paul J., 2008. "Welfare gains from Foreign Direct Investment through technology transfer to local suppliers," Journal of International Economics, Elsevier, vol. 74(2), pages 402-421, March.
    20. Beata Smarzynska Javorcik, 2004. "Does Foreign Direct Investment Increase the Productivity of Domestic Firms? In Search of Spillovers Through Backward Linkages," American Economic Review, American Economic Association, vol. 94(3), pages 605-627, June.
    21. Branstetter, Lee, 2006. "Is foreign direct investment a channel of knowledge spillovers? Evidence from Japan's FDI in the United States," Journal of International Economics, Elsevier, vol. 68(2), pages 325-344, March.
    22. Miremadi, I. & Saboohi, Y. & Arasti, M., 2019. "The influence of public R&D and knowledge spillovers on the development of renewable energy sources: The case of the Nordic countries," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 450-463.
    23. Mrabet, Zouhair & Alsamara, Mouyad & Saleh, Ali Salman & Anwar, Sajid, 2019. "Urbanization and non-renewable energy demand: A comparison of developed and emerging countries," Energy, Elsevier, vol. 170(C), pages 832-839.
    24. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    25. Stephan, Annegret & Bening, Catharina R. & Schmidt, Tobias S. & Schwarz, Marius & Hoffmann, Volker H., 2019. "The role of inter-sectoral knowledge spillovers in technological innovations: The case of lithium-ion batteries," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    26. Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 115-146, National Bureau of Economic Research, Inc.
    27. Zhang, Gupeng & Zhou, Jianghua, 2016. "The effects of forward and reverse engineering on firm innovation performance in the stages of technology catch-up: An empirical study of China," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 212-222.
    28. Maudos, Joaquin & Pastor, Jose Manuel & Serrano, Lorenzo, 1999. "Total factor productivity measurement and human capital in OECD countries," Economics Letters, Elsevier, vol. 63(1), pages 39-44, April.
    29. Markus Eberhardt, 2012. "Estimating panel time-series models with heterogeneous slopes," Stata Journal, StataCorp LP, vol. 12(1), pages 61-71, March.
    30. Ali, Imran & Ali, Murad & Leal-Rodríguez, Antonio L. & Albort-Morant, Gema, 2019. "The role of knowledge spillovers and cultural intelligence in enhancing expatriate employees' individual and team creativity," Journal of Business Research, Elsevier, vol. 101(C), pages 561-573.
    31. Fragkiskos Filippaios & Constantina Kottaridi, 2013. "Complements or substitutes? New theoretical considerations and empirical evidence on the imports and FDI relationship in Central and Eastern European Countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 27(6), pages 766-797, November.
    32. Khan, Zeeshan & Hussain, Muzzammil & Shahbaz, Muhammad & Yang, Siqun & Jiao, Zhilun, 2020. "Natural resource abundance, technological innovation, and human capital nexus with financial development: A case study of China," Resources Policy, Elsevier, vol. 65(C).
    33. Yu, Xiang & Zhang, Ben, 2019. "Obtaining advantages from technology revolution: A patent roadmap for competition analysis and strategy planning," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 273-283.
    34. Xu, Xinpeng & Sheng, Yu, 2012. "Productivity Spillovers from Foreign Direct Investment: Firm-Level Evidence from China," World Development, Elsevier, vol. 40(1), pages 62-74.
    35. Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation," NBER Working Papers 24449, National Bureau of Economic Research, Inc.
    36. Danquah, Michael & Amankwah-Amoah, Joseph, 2017. "Assessing the relationships between human capital, innovation and technology adoption: Evidence from sub-Saharan Africa," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 24-33.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shi, Jing & Wang, Jiajie & Kang, Lele & Sun, Jianjun, 2023. "How to poach the talents? Role of social capital and contextual knowledge base," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    2. Lee, Chien-Chiang & Feng, Yi & Peng, Diyun, 2022. "A green path towards sustainable development: The impact of low-carbon city pilot on energy transition," Energy Economics, Elsevier, vol. 115(C).
    3. Shihong Zeng & Ya Zhou, 2021. "Foreign Direct Investment’s Impact on China’s Economic Growth, Technological Innovation and Pollution," IJERPH, MDPI, vol. 18(6), pages 1-24, March.
    4. Talla Fokam, Dieu Ne Dort & Kamga, Benjamin Fomba & Nchofoung, Tii N., 2023. "Information and communication technologies and employment in developing countries: Effects and transmission channels," Telecommunications Policy, Elsevier, vol. 47(8).
    5. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    6. Lin, Boqiang & Ma, Ruiyang, 2022. "Green technology innovations, urban innovation environment and CO2 emission reduction in China: Fresh evidence from a partially linear functional-coefficient panel model," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    7. Yuan, Ruizhi & Luo, Jun & Liu, Martin J. & Yannopoulou, Natalia, 2022. "“I am proud of my job”: Examining the psychological mechanism underlying technological innovation's effects on employee brand ambassadorship," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    8. Wenqi Zhao & Moau Yong Toh, 2023. "Impact of Innovative City Pilot Policy on Industrial Structure Upgrading in China," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    9. Mingzhao Xiong & Wenqi Li & Chenjie Jenny & Peixu Wang, 2023. "Financial Inclusion through Digitalization: Improving Emerging Drivers of Industrial Pollution—Evidence from China," Sustainability, MDPI, vol. 15(13), pages 1-17, June.
    10. Tian Liang & Hongying Mao & Yujiao Tan & Bing Sun, 2023. "How Does Socio-technical Landscape Affect the Formation of Technical Standards?," SAGE Open, , vol. 13(4), pages 21582440231, December.
    11. Liu, Yazhou & Ren, Tiantian & Liu, Lijun & Ni, Jinlan & Yin, Yingkai, 2023. "Heterogeneous industrial agglomeration, technological innovation and haze pollution," China Economic Review, Elsevier, vol. 77(C).
    12. Wenhan Ren & Yu Chen, 2022. "Realizing the Improvement of Green Total Factor Productivity of the Marine Economy—New Evidence from China’s Coastal Areas," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    13. Cannavacciuolo, Lorella & Ferraro, Giovanna & Ponsiglione, Cristina & Primario, Simonetta & Quinto, Ivana, 2023. "Technological innovation-enabling industry 4.0 paradigm: A systematic literature review," Technovation, Elsevier, vol. 124(C).
    14. Zhenglin Sun & Jinyue Zhang, 2022. "Impact of Resource-Saving and Environment-Friendly Society Construction on Sustainability," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
    15. Zhao, Jun & Dong, Kangyin, 2023. "Is environmental regulation a powerful weapon to mitigate China’s PM2.5 emissions? The role of human capital," Journal of Asian Economics, Elsevier, vol. 87(C).
    16. Zhu, Chen & Lee, Chien-Chiang, 2022. "The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    17. Chen, Danling & Hu, Wenbo & Li, Yuying & Zhang, Chaozheng & Lu, Xinhai & Cheng, Hui, 2023. "Exploring the temporal and spatial effects of city size on regional economic integration: Evidence from the Yangtze River Economic Belt in China," Land Use Policy, Elsevier, vol. 132(C).
    18. Shangui Peng & Jian Wang & Hao Sun & Zhengning Guo, 2022. "How Does the Spatial Misallocation of Land Resources Affect Urban Industrial Transformation and Upgrading? Evidence from China," Land, MDPI, vol. 11(10), pages 1-22, September.
    19. Wu, Jie & Zahoor, Nadia & Khan, Zaheer & Meyer, Martin, 2023. "The effects of inward FDI communities on the research and development intensity of emerging market locally domiciled firms: Partial foreign ownership as a contingency," Journal of Business Research, Elsevier, vol. 156(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chi, Meiqing & Muhammad, Sulaman & Khan, Zeeshan & Ali, Shahid & Li, Rita Yi Man, 2021. "Is centralization killing innovation? The success story of technological innovation in fiscally decentralized countries," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    2. Wang, Chenguang & Qiao, Cuixia & Ahmed, Rahil Irfan & Kirikkaleli, Dervis, 2021. "Institutional Quality, Bank Finance and Technological Innovation: A way forward for Fourth Industrial Revolution in BRICS Economies," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    3. Yuan, Shengjun & Musibau, Hammed Oluwaseyi & Genç, Sema Yılmaz & Shaheen, Riffat & Ameen, Anam & Tan, Zhixiong, 2021. "Digitalization of economy is the key factor behind fourth industrial revolution: How G7 countries are overcoming with the financing issues?," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    4. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    5. Gu, Jianqiang & Gouliamos, Kostas & Lobonţ, Oana-Ramona & Nicoleta-Claudia, Moldovan, 2021. "Is the fourth industrial revolution transforming the relationship between financial development and its determinants in emerging economies?," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    6. Belaïd, Fateh & Zrelli, Maha Harbaoui, 2019. "Renewable and non-renewable electricity consumption, environmental degradation and economic development: Evidence from Mediterranean countries," Energy Policy, Elsevier, vol. 133(C).
    7. Ahmad, Mahmood & Jiang, Ping & Majeed, Abdul & Umar, Muhammad & Khan, Zeeshan & Muhammad, Sulaman, 2020. "The dynamic impact of natural resources, technological innovations and economic growth on ecological footprint: An advanced panel data estimation," Resources Policy, Elsevier, vol. 69(C).
    8. Siming Zuo & Mingxia Zhu & Zhexiao Xu & Judit Oláh & Zoltan Lakner, 2021. "The Dynamic Impact of Natural Resource Rents, Financial Development, and Technological Innovations on Environmental Quality: Empirical Evidence from BRI Economies," IJERPH, MDPI, vol. 19(1), pages 1-17, December.
    9. Sun, Yanpeng & Ak, Aysegul & Serener, Berna & Xiong, Deping, 2020. "Natural resource abundance and financial development: A case study of emerging seven (E−7) economies," Resources Policy, Elsevier, vol. 67(C).
    10. Li, Yumei & Naqvi, Bushra & Caglar, Ersin & Chu, Chien-Chi, 2020. "N-11 countries: Are the new victims of resource-curse?," Resources Policy, Elsevier, vol. 67(C).
    11. Trofimov, Ivan D., 2020. "Is There a J-Curve Effect in the Services Trade in Canada? A Panel Data Analysis," MPRA Paper 106704, University Library of Munich, Germany.
    12. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    13. Jian Xue & Zeeshan Rasool & Raima Nazar & Ahmad Imran Khan & Shaukat Hussain Bhatti & Sajid Ali, 2021. "Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    14. Huang, Lingyun & Zou, Yanjun, 2020. "How to promote energy transition in China: From the perspectives of interregional relocation and environmental regulation," Energy Economics, Elsevier, vol. 92(C).
    15. Wei, Hua & Rizvi, Syed Kumail Abbas & Ahmad, Ferhana & Zhang, Yuchen, 2020. "Resource cursed or resource blessed? The role of investment and energy prices in G7 countries," Resources Policy, Elsevier, vol. 67(C).
    16. Heike Belitz & Florian Mölders, 2016. "International knowledge spillovers through high-tech imports and R&D of foreign-owned firms," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 25(4), pages 590-613, June.
    17. Zhang Chenghu & Muhammad Arif & Khurram Shehzad & Mahmood Ahmad & Judit Oláh, 2021. "Modeling the Dynamic Linkage between Tourism Development, Technological Innovation, Urbanization and Environmental Quality: Provincial Data Analysis of China," IJERPH, MDPI, vol. 18(16), pages 1-21, August.
    18. Su, Chi-Wei & Sun, Tiezhu & Ahmad, Shabbir & Mirza, Nawazish, 2021. "Does institutional quality and remittances inflow crowd-in private investment to avoid Dutch Disease? A case for emerging seven (E7) economies," Resources Policy, Elsevier, vol. 72(C).
    19. Tiba, Sofien & Belaid, Fateh, 2020. "The pollution concern in the era of globalization: Do the contribution of foreign direct investment and trade openness matter?," Energy Economics, Elsevier, vol. 92(C).
    20. Miao Wang & Hong Zhuang, 2021. "FDI and educational outcomes in developing countries," Empirical Economics, Springer, vol. 61(6), pages 3505-3539, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:162:y:2021:i:c:s0040162520311537. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.