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Innovation and water productivity: Empirical evidence from water‐related patents

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  • Linus Nyiwul
  • Zhining Hu
  • Niraj P. Koirala

Abstract

This paper investigates the impact of innovation in the water sector on water productivity using a global sample of 81 countries from 2000 to 2019. We derive theoretical parameters in the Cobb–Douglas production framework and estimate these parameters using fixed‐effects panel instrumental variable and system generalized method of moments estimations. Contrary to theoretical predictions, we find that water‐related innovation has a significant negative effect on water productivity. This suggests the presence of a productivity paradox in the water sector. In our analysis, this paradox is consistent across various modeling specifications and alternative estimations, marking a unique phenomenon not previously observed outside the information and communication technologies sector. Furthermore, the paradox is more pronounced in countries of the global north compared with those in the global south, a divergence we attribute to differences in economic structures, technological capabilities, and resource allocations. These findings underscore the complexity of the role water‐related innovation plays in water productivity and highlight the need for tailored approaches to address region‐specific challenges.

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  • Linus Nyiwul & Zhining Hu & Niraj P. Koirala, 2025. "Innovation and water productivity: Empirical evidence from water‐related patents," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 47(2), pages 515-555, May.
    • Handle: RePEc:wly:apecpp:v:47:y:2025:i:2:p:515-555
    DOI: 10.1002/aepp.13498
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    1. Malik Shahzad Shabbir & Nusrat Yaqoob, 2019. "The impact of technological advancement on total factor productivity of cotton: a comparative analysis between Pakistan and India," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-16, December.
    2. Pierre Mohnen & Bronwyn H. Hall, 2013. "Innovation and Productivity: An Update," Eurasian Business Review, Eurasia Business and Economics Society, vol. 3(1), pages 47-65, Spring.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Yu, Winston & Uhlenbrook, Stefan & von Gnechten, Rachel & van der Bliek, Julie, 2021. "Can water productivity improvements save us from global water scarcity?. White paper," IWMI Books, Reports H050553, International Water Management Institute.
    5. Ali, M.H. & Talukder, M.S.U., 2008. "Increasing water productivity in crop production--A synthesis," Agricultural Water Management, Elsevier, vol. 95(11), pages 1201-1213, November.
    6. Emek Basker, 2012. "Raising the Barcode Scanner: Technology and Productivity in the Retail Sector," American Economic Journal: Applied Economics, American Economic Association, vol. 4(3), pages 1-27, July.
    7. Turral, Hugh & Svendsen, Mark & Faures, Jean Marc, 2010. "Investing in irrigation: Reviewing the past and looking to the future," Agricultural Water Management, Elsevier, vol. 97(4), pages 551-560, April.
    8. Pfeiffer, Lisa & Lin, C.-Y. Cynthia, 2014. "Does efficient irrigation technology lead to reduced groundwater extraction? Empirical evidence," Journal of Environmental Economics and Management, Elsevier, vol. 67(2), pages 189-208.
    9. Fisher-Vanden, Karen & Jefferson, Gary H. & Jingkui, Ma & Jianyi, Xu, 2006. "Technology development and energy productivity in China," Energy Economics, Elsevier, vol. 28(5-6), pages 690-705, November.
    10. Dinar, Ariel & Zilberman, David, 1991. "The economics of resource-conservation, pollution-reduction technology selection: The case of irrigation water," Resources and Energy, Elsevier, vol. 13(4), pages 323-348, December.
    11. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
    12. Polák, Petr, 2017. "The productivity paradox: A meta-analysis," Information Economics and Policy, Elsevier, vol. 38(C), pages 38-54.
    13. Crespi, Gustavo & Zuniga, Pluvia, 2012. "Innovation and Productivity: Evidence from Six Latin American Countries," World Development, Elsevier, vol. 40(2), pages 273-290.
    14. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    15. Susanne M. Scheierling & David O. Tréguer, 2018. "Beyond Crop per Drop," World Bank Publications - Books, The World Bank Group, number 29922, April.
    16. Amy Kahn & Moses Sithole & Yasser Buchana, 2022. "An analysis of the impact of technological innovation on productivity in South African manufacturing firms using direct measures of innovation," South African Journal of Economics, Economic Society of South Africa, vol. 90(1), pages 37-56, March.
    17. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    18. Pierre Mohnen & Bronwyn Hall, 2013. "Innovation and Productivity: An Update," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 47-65, June.
    19. Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, vol. 34(2), pages 143-173, October.
    20. Sebastian Kripfganz & Vasilis Sarafidis, 2021. "Instrumental-variable estimation of large-T panel-data models with common factors," Stata Journal, StataCorp LLC, vol. 21(3), pages 659-686, September.
    21. Nyiwul, Linus & Koirala, Niraj P., 2024. "Renewable energy policy performance and technological innovation in Africa: A Bayesian estimation," Energy Policy, Elsevier, vol. 193(C).
    22. Daniel S. Hamermesh & Sharon M. Oster, 2002. "Tools or Toys? The Impact of High Technology on Scholarly Productivity," Economic Inquiry, Western Economic Association International, vol. 40(4), pages 539-555, October.
    23. Sam Mitra, 2019. "Depletion, technology, and productivity growth in the metallic minerals industry," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 32(1), pages 19-37, April.
    24. Linus Nyiwul, 2023. "Demand for water innovation: evidence on wastewater technology adoption in thirteen African countries," Economic Change and Restructuring, Springer, vol. 56(5), pages 3383-3410, October.
    25. Peter Debaere & Amanda Kurzendoerfer, 2017. "Decomposing US Water Withdrawal since 1950," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(1), pages 155-196.
    26. Distefano, Tiziano & Kelly, Scott, 2017. "Are we in deep water? Water scarcity and its limits to economic growth," Ecological Economics, Elsevier, vol. 142(C), pages 130-147.
    27. Hasan, Rana, 2002. "The impact of imported and domestic technologies on the productivity of firms: panel data evidence from Indian manufacturing firms," Journal of Development Economics, Elsevier, vol. 69(1), pages 23-49, October.
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