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The trickle down from environmental innovation to productive complexity

Author

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  • Francesco de Cunzo
  • Alberto Petri
  • Andrea Zaccaria
  • Angelica Sbardella

Abstract

We study the empirical relationship between green technologies and industrial production at very fine-grained levels by employing Economic Complexity techniques. Firstly, we use patent data on green technology domains as a proxy for competitive green innovation and data on exported products as a proxy for competitive industrial production. Secondly, with the aim of observing how green technological development trickles down into industrial production, we build a bipartite directed network linking single green technologies at time $t_1$ to single products at time $t_2 \ge t_1$ on the basis of their time-lagged co-occurrences in the technological and industrial specialization profiles of countries. Thirdly we filter the links in the network by employing a maximum entropy null-model. In particular, we find that the industrial sectors most connected to green technologies are related to the processing of raw materials, which we know to be crucial for the development of clean energy innovations. Furthermore, by looking at the evolution of the network over time, we observe that more complex green technological know-how requires more time to be transmitted to industrial production, and is also linked to more complex products.

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  • Francesco de Cunzo & Alberto Petri & Andrea Zaccaria & Angelica Sbardella, 2022. "The trickle down from environmental innovation to productive complexity," Papers 2206.07537, arXiv.org.
    • Handle: RePEc:arx:papers:2206.07537
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    2. Nicolò Barbieri & Davide Consoli & Lorenzo Napolitano & François Perruchas & Emanuele Pugliese & Angelica Sbardella, 2023. "Regional technological capabilities and green opportunities in Europe," The Journal of Technology Transfer, Springer, vol. 48(2), pages 749-778, April.
    3. Napolitano, Lorenzo & Sbardella, Angelica & Consoli, Davide & Barbieri, Nicolò & Perruchas, François, 2022. "Green innovation and income inequality: A complex system analysis," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 224-240.
    4. Donis, Silvia & Gómez, Jaime & Salazar, Idana, 2023. "Economic complexity, property rights and the judicial system as drivers of eco-innovations: An analysis of OECD countries," Technovation, Elsevier, vol. 128(C).
    5. Sabrina Aufiero & Giordano De Marzo & Angelica Sbardella & Andrea Zaccaria, 2023. "Mapping job complexity and skills into wages," Papers 2304.05251, arXiv.org.
    6. Müller, Viktor Paul & Eichhammer, Wolfgang, 2023. "Economic complexity of green hydrogen production technologies - a trade data-based analysis of country-specific industrial preconditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    7. Arnaud Persenda & Alexandre Ruiz, 2023. "Autocatalytic Networks and the Green Economy," GREDEG Working Papers 2023-16, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    8. Matteo Bruno & Dario Mazzilli & Aurelio Patelli & Tiziano Squartini & Fabio Saracco, 2023. "Inferring comparative advantage via entropy maximization," Papers 2304.12245, arXiv.org.

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