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Non-linear effects of outward foreign direct investment on total factor energy efficiency in China

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  • Pan, Xiongfeng
  • Chu, Junhui
  • Tian, Mengyuan
  • Li, Mengna

Abstract

China is experiencing rapid economic development where outward foreign direct investment (OFDI) ranked third globally in 2017. OFDI could affect energy efficiency in China through reverse technology spillover. However, few studies have studied the impact of OFDI on total factor energy efficiency (TFEE), notably on the non-linear relationships and potential threshold level of the variables that would impact non-linearity. A panel smooth transition regression (PSTR) model was developed to analyse the non-linear impact of OFDI (explaining variable) on TFEE (explained variable). The data from 30 provinces, municipalities and autonomous regions (except Tibet) in China from 2006 to 2017 were considered. Industrial structure, opening-up level and human capital were selected as the transition variables to analyse potential threshold levels on how OFDI would enhance TFEE. The PSTR modelling results show that increasing OFDI in China can improve TFEE where the relationship is non-linear. The thresholds for opening-up level, industrial structure and human capital are 36.11%, 37.59% and 8.33%. With the change of the industrial structure, opening-up level and the human capital, the effect of OFDI on TFEE transited slowly and smoothly between high and low regimes. The opening-up level in Fujian, Zhejiang, Tianjin, Jiangsu, Guangdong, Beijing, and Shanghai is above the threshold level. Most regions show the industrial structure and human capital levels above the threshold. This study shows the importance of developing a non-linear model to accurately evaluating the impact of OFDI in enhancing TFEE in China. The model enables policymakers to assess the thresholds of the transition variables to observe the positive effect of OFDI on TFEE.

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  • Pan, Xiongfeng & Chu, Junhui & Tian, Mengyuan & Li, Mengna, 2022. "Non-linear effects of outward foreign direct investment on total factor energy efficiency in China," Energy, Elsevier, vol. 239(PD).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pd:s036054422102541x
    DOI: 10.1016/j.energy.2021.122293
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    as
    1. Chang, Tzu-Pu & Hu, Jin-Li, 2010. "Total-factor energy productivity growth, technical progress, and efficiency change: An empirical study of China," Applied Energy, Elsevier, vol. 87(10), pages 3262-3270, October.
    2. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    3. Yao, Yao & Ivanovski, Kris & Inekwe, John & Smyth, Russell, 2019. "Human capital and energy consumption: Evidence from OECD countries," Energy Economics, Elsevier, vol. 84(C).
    4. Su, Hongwei & Liang, Biming, 2021. "The impact of regional market integration and economic opening up on environmental total factor energy productivity in Chinese provinces," Energy Policy, Elsevier, vol. 148(PA).
    5. Imbruno, Michele & Ketterer, Tobias D., 2018. "Energy efficiency gains from importing intermediate inputs: Firm-level evidence from Indonesia," Journal of Development Economics, Elsevier, vol. 135(C), pages 117-141.
    6. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    7. Song, Malin & Xie, Qianjiao & Shen, Zhiyang, 2021. "Impact of green credit on high-efficiency utilization of energy in China considering environmental constraints," Energy Policy, Elsevier, vol. 153(C).
    8. Ramanathan, R. & Ganesh, L. S., 1995. "Energy resource allocation incorporating qualitative and quantitative criteria: An integrated model using goal programming and AHP," Socio-Economic Planning Sciences, Elsevier, vol. 29(3), pages 197-218, September.
    9. Pan, Xiongfeng & Li, Mengna & Wang, Mengyang & Chu, Junhui & Bo, Hongguang, 2020. "The effects of outward foreign direct investment and reverse technology spillover on China's carbon productivity," Energy Policy, Elsevier, vol. 145(C).
    10. Borozan, Djula, 2018. "Technical and total factor energy efficiency of European regions: A two-stage approach," Energy, Elsevier, vol. 152(C), pages 521-532.
    11. 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.
    12. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    13. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    14. Montalbano, P. & Nenci, S., 2019. "Energy efficiency, productivity and exporting: Firm-level evidence in Latin America," Energy Economics, Elsevier, vol. 79(C), pages 97-110.
    15. 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).
    16. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    17. Bashir, Muhammad Adnan & Sheng, Bin & Doğan, Buhari & Sarwar, Suleman & Shahzad, Umer, 2020. "Export product diversification and energy efficiency: Empirical evidence from OECD countries," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 232-243.
    18. Wang, Ying & Chen, Xiangyuan, 2020. "Natural resource endowment and ecological efficiency in China: Revisiting resource curse in the context of ecological efficiency," Resources Policy, Elsevier, vol. 66(C).
    19. Liu, Haiyue & Wang, Yile & Jiang, Jie & Wu, Peng, 2020. "How green is the “Belt and Road Initiative”? – Evidence from Chinese OFDI in the energy sector," Energy Policy, Elsevier, vol. 145(C).
    20. Fraumeni, Barbara M. & He, Junzi & Li, Haizheng & Liu, Qinyi, 2019. "Regional distribution and dynamics of human capital in China 1985–2014," Journal of Comparative Economics, Elsevier, vol. 47(4), pages 853-866.
    21. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    22. Bampatsou, Christina & Halkos, George, 2019. "Economic growth, efficiency and environmental elasticity for the G7 countries," Energy Policy, Elsevier, vol. 130(C), pages 355-360.
    23. 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).
    24. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    25. Jiang, Mingrui & Luo, Sumei & Zhou, Guangyou, 2020. "Financial development, OFDI spillovers and upgrading of industrial structure," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    26. Gerlagh, Reyer & Kuik, Onno, 2014. "Spill or leak? Carbon leakage with international technology spillovers: A CGE analysis," Energy Economics, Elsevier, vol. 45(C), pages 381-388.
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