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Does Foreign Direct Investment Impact Energy Intensity? Evidence from Developing Countries

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  • Wenming Cao
  • Shuanglian Chen
  • Zimei Huang

Abstract

The paper presents the results of a study that attempts to investigate the impact of foreign direct investment (FDI) on energy intensity by constructing panel regression model and panel smooth transition regression (PSTR) model. Based on panel data from 1990 to 2014, this study contributes to conduct the impact of FDI on energy intensity from the perspective of emerging country, including BRICS and non-BRICS countries, and investigates the channels of influence of FDI on energy intensity. Besides that, we intend to employ the PSTR model to reveal the nonlinear mechanism of FDI on energy intensity. Our findings reveal several key conclusions: first, FDI exerts insignificant impact on energy intensity in the emerging countries. Second, the impact of FDI on energy intensity is heterogeneous between BRICS and non-BRICS countries. Third, innovation capacity plays various moderating effects on the relationship of FDI and energy intensity among different types of emerging countries. Furthermore, the nonlinear mechanism of FDI on energy intensity is realized with industrial structure as the transition variable, which plays a different effect on the impact of FDI on energy intensity between different samples.

Suggested Citation

  • Wenming Cao & Shuanglian Chen & Zimei Huang, 2020. "Does Foreign Direct Investment Impact Energy Intensity? Evidence from Developing Countries," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-11, March.
  • Handle: RePEc:hin:jnlmpe:5695684
    DOI: 10.1155/2020/5695684
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    Cited by:

    1. Jin, Taeyoung, 2022. "Impact of heat and electricity consumption on energy intensity: A panel data analysis," Energy, Elsevier, vol. 239(PA).
    2. Islam, Md. Monirul & Irfan, Muhammad & Shahbaz, Muhammad & Vo, Xuan Vinh, 2022. "Renewable and non-renewable energy consumption in Bangladesh: The relative influencing profiles of economic factors, urbanization, physical infrastructure and institutional quality," Renewable Energy, Elsevier, vol. 184(C), pages 1130-1149.
    3. Luan, Bingjiang & Zou, Hong & Chen, Shuxing & Huang, Junbing, 2021. "The effect of industrial structure adjustment on China’s energy intensity: Evidence from linear and nonlinear analysis," Energy, Elsevier, vol. 218(C).
    4. Wei, Jia & Wen, Jun & Wang, Xiao-Yang & Ma, Jie & Chang, Chun-Ping, 2023. "Green innovation, natural extreme events, and energy transition: Evidence from Asia-Pacific economies," Energy Economics, Elsevier, vol. 121(C).
    5. Heru Wahyudi & Widia Anggi Palupi, 2023. "Relationship between Energy Consumption, Foreign Direct Investment, and Labor Force Participation Using the VECM Model: Empirical Study in OECD Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 157-165, March.
    6. Zimei Huang & Tinghui Li & Mark Xu, 2020. "Are There Heterogeneous Impacts of National Income on Mental Health?," IJERPH, MDPI, vol. 17(20), pages 1-22, October.
    7. Singh, Devesh, 2022. "Renewable energy, urban primacy, foreign direct investment, and value-added in European regions," Renewable Energy, Elsevier, vol. 186(C), pages 547-561.
    8. Hongjun, Guan & Liye, Dong & Aiwu, Zhao, 2023. "Energy structure dividend, factor allocation efficiency and regional productivity growth-- An empirical examination of energy restructuring in China," Energy Policy, Elsevier, vol. 172(C).
    9. Pan, Xiongfeng & Wang, Yuqing & Tian, Mengyuan & Feng, Shenghan & Ai, Bowei, 2023. "Spatio-temporal impulse effect of foreign direct investment on intra- and inter-regional carbon emissions," Energy, Elsevier, vol. 262(PA).
    10. Larisa Vazhenina & Elena Magaril & Igor Mayburov, 2022. "Resource Conservation as the Main Factor in Increasing the Resource Efficiency of Russian Gas Companies," Resources, MDPI, vol. 11(12), pages 1-14, December.
    11. Scalamonti, Francesco, 2024. "The foreign investments-growth nexus in underdeveloped countries: the state-of-art of research analysing a selected and recent empirical literature (2020-2022)," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

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