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Does intellectual property protection improve energy efficiency? Evidence from the impact of intellectual property income on energy intensity

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  • Qiang Wang
  • Xiaoli Yang
  • Rongrong Li

Abstract

This work aims to explore the impact of intellectual property income (a guarantee for promoting technological advance) on energy efficiency (indicating the technological advance) considering the mediation role of trade openness. To this end, this article uses the available data of 50 countries from 2000 to 2019 to study the influence of intellectual property income and trade openness. The Fully Modified Ordinary Least Square and Dynamic Ordinary Least Square methods are applied in this article to study the long-term relationship between different variables. The empirical results show that there is a mediation effect between intellectual property income and energy intensity. In other words, intellectual property income can not only directly affect energy intensity, but also indirectly affect energy intensity through trade openness. Fully considering the impact of regional heterogeneity, the countries are divided into high-income (HI) countries and middle-income (MI) countries. The results indicate there are noticeable regional differences in the impact of intellectual property income on energy intensity via the mediation effect of trade openness. The improvement of intellectual property income and trade openness benefits the HI countries most, but not for MI countries. Targeted policy implications are proposed to enable a reduction in energy intensity for countries at different income levels.

Suggested Citation

  • Qiang Wang & Xiaoli Yang & Rongrong Li, 2024. "Does intellectual property protection improve energy efficiency? Evidence from the impact of intellectual property income on energy intensity," Energy & Environment, , vol. 35(8), pages 4310-4338, December.
  • Handle: RePEc:sae:engenv:v:35:y:2024:i:8:p:4310-4338
    DOI: 10.1177/0958305X231180694
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    1. Zhang, Mingming & Zhang, Shichang & Lee, Chien-Chiang & Zhou, Dequn, 2021. "Effects of trade openness on renewable energy consumption in OECD countries: New insights from panel smooth transition regression modelling," Energy Economics, Elsevier, vol. 104(C).
    2. Rafiq, Shuddhasattwa & Salim, Ruhul & Nielsen, Ingrid, 2016. "Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies," Energy Economics, Elsevier, vol. 56(C), pages 20-28.
    3. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    4. Festus Victor Bekun, 2022. "Mitigating Emissions in India: Accounting for the Role of Real Income, Renewable Energy Consumption and Investment in Energy," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 188-192.
    5. Dervis Kirikkaleli & Tomiwa Sunday Adebayo, 2021. "Do renewable energy consumption and financial development matter for environmental sustainability? New global evidence," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 583-594, July.
    6. 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.
    7. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    8. Sahbi Farhani & Jaleleddine Ben Rejeb, 2012. "Energy Consumption, Economic Growth and CO2 Emissions: Evidence from Panel Data for MENA Region," International Journal of Energy Economics and Policy, Econjournals, vol. 2(2), pages 71-81.
    9. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    10. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    11. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
    12. Ma, Chunbo & Stern, David I., 2008. "China's changing energy intensity trend: A decomposition analysis," Energy Economics, Elsevier, vol. 30(3), pages 1037-1053, May.
    13. Benedict Probst & Simon Touboul & Matthieu Glachant & Antoine Dechezleprêtre, 2021. "Global trends in the invention and diffusion of climate change mitigation technologies," Nature Energy, Nature, vol. 6(11), pages 1077-1086, November.
    14. Adom, Philip Kofi, 2015. "Asymmetric impacts of the determinants of energy intensity in Nigeria," Energy Economics, Elsevier, vol. 49(C), pages 570-580.
    15. Wen, Huwei & Li, Nuoyan & Lee, Chien-Chiang, 2021. "Energy intensity of manufacturing enterprises under competitive pressure from the informal sector: Evidence from developing and emerging countries," Energy Economics, Elsevier, vol. 104(C).
    16. 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.
    17. Huang, Junbing & Xiang, Shiqi & Wang, Yajun & Chen, Xiang, 2021. "Energy-saving R&D and carbon intensity in China," Energy Economics, Elsevier, vol. 98(C).
    18. Gilbert E. Metcalf, 2008. "An Empirical Analysis of Energy Intensity and Its Determinants at the State Level," The Energy Journal, , vol. 29(3), pages 1-26, July.
    19. Saeed Moshiri and Nana Duah, 2016. "Changes in Energy Intensity in Canada," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    20. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    21. Sadorsky, Perry, 2013. "Do urbanization and industrialization affect energy intensity in developing countries?," Energy Economics, Elsevier, vol. 37(C), pages 52-59.
    22. Mohammad Shahbaz, 2009. "A Reassessment of Finance-Growth Nexus for Pakistan: Under the Investigation of FMOLS and DOLS Techniques," The IUP Journal of Applied Economics, IUP Publications, vol. 0(1), pages 65-80, January.
    23. Christophe Hurlin & Valérie Mignon, 2007. "Second Generation Panel Unit Root Tests," Working Papers halshs-00159842, HAL.
    24. Heather Berry & Aseem Kaul & Narae Lee, 2021. "Follow the smoke: The pollution haven effect on global sourcing," Strategic Management Journal, Wiley Blackwell, vol. 42(13), pages 2420-2450, December.
    25. Li, Jinkai & Omoju, Oluwasola E. & Zhang, Jin & Ikhide, Emily E. & Lu, Gang & Lawal, Adedoyin I. & Ozue, Vivian A., 2020. "Does Intellectual Property Rights Protection Constitute A Barrier To Renewable Energy? An Econometric Analysis," National Institute Economic Review, National Institute of Economic and Social Research, vol. 251, pages 37-46, February.
    26. Wu-Shun Tee & Lee Chin & Abdul Samad Abdul-Rahim, 2021. "Determinants of Renewable Energy Production: Do Intellectual Property Rights Matter?," Energies, MDPI, vol. 14(18), pages 1-15, September.
    27. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    28. Naghavi, Alireza & Strozzi, Chiara, 2015. "Intellectual property rights, diasporas, and domestic innovation," Journal of International Economics, Elsevier, vol. 96(1), pages 150-161.
    29. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    30. Ibrahim Ngouhouo & Tii Nchofoung & Arsène Aurelien Njamen Kengdo, 2021. "Determinants of Trade Openness in Sub-Saharan Africa: Do Institutions Matter?," International Economic Journal, Taylor & Francis Journals, vol. 35(1), pages 96-119, January.
    31. Wu, Jianxin & Wu, Yanrui & Se Cheong, Tsun & Yu, Yanni, 2018. "Distribution dynamics of energy intensity in Chinese cities," Applied Energy, Elsevier, vol. 211(C), pages 875-889.
    32. Pan, Xiongfeng & Uddin, Md. Kamal & Saima, Umme & Jiao, Zhiming & Han, Cuicui, 2019. "How do industrialization and trade openness influence energy intensity? Evidence from a path model in case of Bangladesh," Energy Policy, Elsevier, vol. 133(C).
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