Effects of technology complexity on the emergence and evolution of wind industry manufacturing locations along global value chains

Effects of technology complexity on the emergence and evolution of wind industry manufacturing locations along global value chains

  • 1.

    Renewable Capacity Statistics 2020 (IRENA, 2020); https://www.irena.org/publications/2020/Mar/Renewable-Capacity-Statistics-2020

  • 2.

    World Energy Outlook 2019 (IEA, 2019); https://www.iea.org/reports/world-energy-outlook-2019

  • 3.

    U.S. Wind Energy Manufacturing and Supply Chain: A Competitiveness Analysis (Global Wind Network, 2014); https://energy.gov/sites/prod/files/2014/09/f18/U.S.%20Wind%20Energy%20Manufacturing%20and%20Supply%20Chain%20Competitiveness%20Analysis_0.pdf

  • 4.

    Wiser, R. et al. Expert elicitation survey on future wind energy costs. Nat. Energy 1, 16135 (2016).


    Google Scholar
     

  • 5.

    Wiser, R. et al. 2018 Wind Technologies Market Report 103 (US Department of Energy, Office of Energy Efficiency and Renewable, 2018).

  • 6.

    Industrial Strategy: Offshore Wind Sector Deal (HM Government, 2019); https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/790950/BEIS_Offshore_Wind_Single_Pages_web_optimised.pdf

  • 7.

    Hansen, U. E., Nygaard, I., Morris, M. & Robbins, G. The effects of local content requirements in auction schemes for renewable energy in developing countries: aA literature review. Renew. Sustain. Energy Rev. 127, 109843 (2020).


    Google Scholar
     

  • 8.

    Schmidt, T. S., Schmid, N. & Sewerin, S. Policy goals, partisanship and paradigmatic change in energy policy — analyzing parliamentary discourse in Germany over 30 years. Clim. Policy 19, 771–786 (2019).


    Google Scholar
     

  • 9.

    Lewis, J. I. The rise of renewable energy protectionism: emerging trade conflicts and implications for low carbon development. Glob. Environ. Polit. 14, 10–35 (2014).


    Google Scholar
     

  • 10.

    Stokes, L. C. & Warshaw, C. Renewable energy policy design and framing influence public support in the United States. Nat. Energy 2, 17107 (2017).


    Google Scholar
     

  • 11.

    Haakonsson, S. J. & Kirkegaard, J. K. Configuration of technology networks in the wind turbine industry. A comparative study of technology management models in European and Chinese lead firms. Int. J. Technol. Manag. 70, 281–299 (2016).


    Google Scholar
     

  • 12.

    Binz, C. & Truffer, B. Global innovation systems—a conceptual framework for innovation dynamics in transnational contexts. Res. Policy 46, 1284–1298 (2017).


    Google Scholar
     

  • 13.

    Pietrobelli, C. & Rabellotti, R. Global value chains meet innovation systems: are there learning opportunities for developing countries? World Dev. 39, 1261–1269 (2011).


    Google Scholar
     

  • 14.

    Jurowetzki, R., Lema, R. & Lundvall, B.-Å. Combining innovation systems and global value chains for development: towards a research agenda. Eur. J. Dev. Res. 30, 364–388 (2018).


    Google Scholar
     

  • 15.

    Lema, R. & Lema, A. Technology transfer? The rise of China and India in green technology sectors. Innov. Dev. 2, 23–44 (2012).


    Google Scholar
     

  • 16.

    Lewis, J. I. Building a national wind turbine industry: experiences from China, India and South Korea. Int. J. Technol. Global. 5, 281–305 (2011).


    Google Scholar
     

  • 17.

    Surana, K. & Anadon, L. D. Public policy and financial resource mobilization for wind energy in developing countries: a comparison of approaches and outcomes in China and India. Glob. Environ. Change 35, 340–359 (2015).


    Google Scholar
     

  • 18.

    Binz, C., Gosens, J., Hansen, T. & Hansen, U. E. Toward technology-sensitive catching-up policies: insights from renewable energy in China. World Dev. 96, 418–437 (2017).


    Google Scholar
     

  • 19.

    World Development Report 2020: Trading for Development in the Age of Global Value Chains (World Bank, 2020).

  • 20.

    Multinational Enterprises in the Global Economy—Heavily Debated but Hardly Measured (OECD, 2018); https://www.oecd.org/industry/ind/MNEs-in-the-global-economy-policy-note.pdf

  • 21.

    Antràs, P. Conceptual Aspects of Global Value Chains NBER Working Paper No. 26539 (NBER, 2019); https://doi.org/10.3386/w26539

  • 22.

    Wind Energy Industry Manufacturing Supplier Handbook (AWEA, 2011).

  • 23.

    Hobday, M. Product complexity, innovation and industrial organisation. Res. Policy 26, 689–710 (1998).


    Google Scholar
     

  • 24.

    Huenteler, J., Schmidt, T. S., Ossenbrink, J. & Hoffmann, V. H. Technology life-cycles in the energy sector—technological characteristics and the role of deployment for innovation. Technol. Forecast. Soc. Change 104, 102–121 (2016).


    Google Scholar
     

  • 25.

    Garud, R. & Karnoe, P. Bricolage versus breakthrough: distributed and embedded agency in technology entrepreneurship. Res. Policy 32, 277–300 (2003).


    Google Scholar
     

  • 26.

    OECD SME and Entrepreneurship Outlook 2019 (OECD, 2019).

  • 27.

    Supply Chain Assessment —Wind Energy 2006–2014 (Navigant Research, 2014).

  • 28.

    Hausmann, R. et al. The Atlas of Economic Complexity (MIT Press, 2013).

  • 29.

    McNerney, J., Farmer, J. D., Redner, S. & Trancik, J. E. Role of design complexity in technology improvement. Proc. Natl Acad. Sci. USA 108, 9008–9013 (2011).


    Google Scholar
     

  • 30.

    Novak, S. & Eppinger, S. D. Sourcing by design: product complexity and the supply chain. Manag. Sci. 47, 189–204 (2001).


    Google Scholar
     

  • 31.

    Broekel, T. Using structural diversity to measure the complexity of technologies. PLoS ONE 14, e0216856 (2019).


    Google Scholar
     

  • 32.

    Mealy, P., Farmer, J. D. & Teytelboym, A. Interpreting economic complexity. Sci. Adv. 5, eaau1705 (2019).


    Google Scholar
     

  • 33.

    Balland, P.-A. & Rigby, D. The geography of complex knowledge. Econ. Geogr. 93, 1–23 (2017).


    Google Scholar
     

  • 34.

    Fleming, L. & Sorenson, O. Technology as a complex adaptive system: evidence from patent data. Res. Policy 30, 1019–1039 (2001).


    Google Scholar
     

  • 35.

    Huenteler, J., Ossenbrink, J., Schmidt, T. S. & Hoffmann, V. H. How a product’s design hierarchy shapes the evolution of technological knowledge—evidence from patent-citation networks in wind power. Res. Policy 45, 1195–1217 (2016).


    Google Scholar
     

  • 36.

    Observatory of Economic Complexity—Product Complexity Rankings (MIT Media Lab, 2011); https://atlas.media.mit.edu/en/rankings/product/hs07/?year_range=2011-2016

  • 37.

    Paisemi, F. EU Energy Technology Trade: Import and Export (Publications Office of the European Union, 2017); https://setis.ec.europa.eu/sites/default/files/reports/eu_energy_technology_trade.pdf

  • 38.

    Wind, I. HS Codes and the Renewable Energy Sector. Research and Analysis (International Centre for Trade and Sustainable Development, 2008).

  • 39.

    Asheim, B. T. & Coenen, L. Knowledge bases and regional innovation systems: comparing Nordic clusters. Res. Policy 34, 1173–1190 (2005).


    Google Scholar
     

  • 40.

    Lewis, J. I. & Wiser, R. H. Fostering a renewable energy technology industry: an international comparison of wind industry policy support mechanisms. Energy Policy 35, 1844–1857 (2007).


    Google Scholar
     

  • 41.

    Qiu, Y. & Anadon, L. D. The price of wind power in China during its expansion: technology adoption, learning-by-doing, economies of scale, and manufacturing localization. Energy Econ. 34, 772–785 (2012).


    Google Scholar
     

  • 42.

    Awate, S., Larsen, M. M. & Mudambi, R. Accessing vs sourcing knowledge: a comparative study of R&D internationalization between emerging and advanced economy firms. J. Int. Bus. Stud. 46, 63–86 (2015).


    Google Scholar
     

  • 43.

    Nieto, M. J. & Rodríguez, A. Offshoring of R&D: looking abroad to improve innovation performance. J. Int. Bus. Stud. 42, 345–361 (2011).


    Google Scholar
     

  • 44.

    Dunning, J. H. & Lundan, S. M. The internationalization of corporate R&D: a review of the evidence and some policy implications for home countries. Rev. Policy Res. 26, 13–33 (2009).


    Google Scholar
     

  • 45.

    Doblinger, C., Dowling, M. & Helm, R. An institutional perspective of public policy and network effects in the renewable energy industry: enablers or disablers of entrepreneurial behaviour and innovation? Entrep. Reg. Dev. 28, 126–156 (2016).


    Google Scholar
     

  • 46.

    Cox Pahnke, E., McDonald, R., Wang, D. & Hallen, B. Exposed: venture capital, competitor ties, and entrepreneurial innovation. Acad. Manag. J. 58, 1334–1360 (2014).


    Google Scholar
     

  • 47.

    Doblinger, C., Surana, K. & Anadon, L. D. Governments as partners: the role of alliances in U.S. cleantech startup innovation. Res. Policy 48, 1458–1475 (2019).


    Google Scholar
     

  • 48.

    Schilling, M. A. & Phelps, C. C. Interfirm collaboration networks: the impact of large-scale network structure on firm innovation. Manag. Sci. 53, 1113–1126 (2007).

    MATH 

    Google Scholar
     

  • 49.

    Gereffi, G., Humphrey, J. & Sturgeon, T. The governance of global value chains. Rev. Int. Polit. Econ. 12, 78–104 (2005).


    Google Scholar
     

  • 50.

    Sturgeon, T., Van Biesebroeck, J. & Gereffi, G. Value chains, networks and clusters: reframing the global automotive industry. J. Econ. Geogr. 8, 297–321 (2008).


    Google Scholar
     

  • 51.

    Schmidt, T. S. & Huenteler, J. Anticipating industry localization effects of clean technology deployment policies in developing countries. Glob. Environ. Change 38, 8–20 (2016).


    Google Scholar
     

  • 52.

    Brauch, H. G., Spring, Ú. O., Grin, J. & Scheffran, J. Handbook on Sustainability Transition and Sustainable Peace Vol. 10 (Springer, 2016).

  • 53.

    Haakonsson, S., Kirkegaard, J. K. & Lema, R. The decomposition of innovation in Europe and China’s catch-up in wind power technology: the role of KIBS. Eur. Plan. Stud. https://doi.org/10.1080/09654313.2020.1712329 (2020).

  • 54.

    Utility Scale Wind Towers from Canada, Indonesia, Korea, and Vietnam Investigation Nos. 701-TA-627-629 and 731-TA-1458-1461 (Preliminary) (USITC, 2019); https://www.usitc.gov/publications/701_731/pub4952.pdf

  • 55.

    Wilson, C. et al. Granular technologies to accelerate decarbonization. Science 368, 36–39 (2020).


    Google Scholar
     

  • 56.

    Future of Wind: Deployment, Investment, Technology, Grid Integration and Socio-economic Aspects (IRENA, 2019); https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2019/Oct/IRENA_Future_of_wind_2019.pdf

  • 57.

    Feinerer, I., Hornik, K. & Meyer, D. Text mining infrastructure in R. J. Stat. Softw. 25, 1–54 (2008).


    Google Scholar
     

  • 58.

    Grün, B. & Hornik, K. topicmodels: an R package for fitting topic models. J. Stat. Softw. 40, 1–30 (2011).


    Google Scholar
     

  • 59.

    Chan, G. The Commercialization of Publicly Funded Science: How Licensing Federal Laboratory Inventions Affects Knowledge Spillovers. Doctoral thesis, Harvard Univ. (2015); http://isites.harvard.edu/fs/docs/icb.topic1459278.files/CHAN-Gabriel_11-21-14_JMP%20-%20National%20Lab%20Patent%20Licensing.pdf

  • 60.

    Kim, G., Park, S. & Jang, D. in Soft Computing in Big Data Processing (eds. Lee, K. M. et al.) 71–80 (Springer International, 2014).

  • 61.

    Barrat, A., Barthélemy, M., Pastor-Satorras, R. & Vespignani, A. The architecture of complex weighted networks. Proc. Natl Acad. Sci. USA 101, 3747–3752 (2004).


    Google Scholar
     

  • 62.

    Csardi, G. & Nepusz, T. The igraph software package for complex network research. InterJ. Complex Syst. 1695, 1–9 (2006).


    Google Scholar
     

  • 63.

    Taglioni, D. & Winkler, D. Making Global Value Chains Work for Development (The World Bank, 2016); https://doi.org/10.1596/978-1-4648-0157-0

  • 64.

    Pedersen, T. L. ggforce: accelerating ‘ggplot2’. R package version 0.1 2 (2019).

  • 65.

    Hlavac, M. Stargazer: well-formatted regression and summary statistics tables. R package version 5 (2015).

  • Source Article