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Towards Paris Climate Agreement goals: The essential role of green finance and green technology

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  • Li, Tianyu
  • Yue, Xiao-Guang
  • Qin, Meng
  • Norena-Chavez, Diego

Abstract

Probing the essential role of green finance (GF) and green technology (GT) is crucial to achieving the Paris Climate Agreement goals. The investigation utilises the wavelet-based quantile-on-quantile regression method to capture the comprehensive interrelation among GF, GT and the progress towards Paris Climate Agreement goals (PCA). The quantitative analyses indicate that GF and GT exert favourable impacts on PCA at the high and low quantiles in the short run, underlining that green finance and green technology could facilitate the realisation of Paris Climate Agreement goals, but the adverse effects in several cases contradict this opinion. In addition, GF and GT's positive and negative impacts on PCA are weakened in the medium term, and their stimulatory effects are also shown in the long-run scenario. Through comparing the impacts of GF and FT on PCA, and find that green finance contributes more towards the Paris Climate Agreement goals than green technology. Against the backdrop of increasingly severe climate changes and risks, these discussions could put forward meaningful lessons to realise the Paris Climate Agreement goals by developing green finance and green technology.

Suggested Citation

  • Li, Tianyu & Yue, Xiao-Guang & Qin, Meng & Norena-Chavez, Diego, 2024. "Towards Paris Climate Agreement goals: The essential role of green finance and green technology," Energy Economics, Elsevier, vol. 129(C).
  • Handle: RePEc:eee:eneeco:v:129:y:2024:i:c:s0140988323007715
    DOI: 10.1016/j.eneco.2023.107273
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    as
    1. Xu, Aiting & Zhu, Yuhan & Wang, Wenpu, 2023. "Micro green technology innovation effects of green finance pilot policy—From the perspectives of action points and green value," Journal of Business Research, Elsevier, vol. 159(C).
    2. Qin, Meng & Zhang, Xiaojing & Li, Yameng & Badarcea, Roxana Maria, 2023. "Blockchain market and green finance: The enablers of carbon neutrality in China," Energy Economics, Elsevier, vol. 118(C).
    3. Madaleno, Mara & Dogan, Eyup & Taskin, Dilvin, 2022. "A step forward on sustainability: The nexus of environmental responsibility, green technology, clean energy and green finance," Energy Economics, Elsevier, vol. 109(C).
    4. Zhang, Shaohui & Chen, Kenjie, 2023. "Green finance and ecological footprints: Natural resources perspective of China’s growing economy," Resources Policy, Elsevier, vol. 85(PB).
    5. Zhang, Jianhua & Liu, Yushan & Zhang, Weihua & Ma, Xinyuan, 2023. "Role of green technologies in enhancing the efficiency of natural resources," Resources Policy, Elsevier, vol. 83(C).
    6. Chen, Jinyu & Wang, Yilin & Ren, Xiaohang, 2022. "Asymmetric effects of non-ferrous metal price shocks on clean energy stocks: Evidence from a quantile-on-quantile method," Resources Policy, Elsevier, vol. 78(C).
    7. Shahbaz, Muhammad & Zakaria, Muhammad & Shahzad, Syed Jawad Hussain & Mahalik, Mantu Kumar, 2018. "The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach," Energy Economics, Elsevier, vol. 71(C), pages 282-301.
    8. Shahzad, Syed Jawad Hussain & Shahbaz, Muhammad & Ferrer, Román & Kumar, Ronald Ravinesh, 2017. "Tourism-led growth hypothesis in the top ten tourist destinations: New evidence using the quantile-on-quantile approach," Tourism Management, Elsevier, vol. 60(C), pages 223-232.
    9. Pang, Lidong & Zhu, Meng Nan & Yu, Haiyan, 2022. "Is green finance really a blessing for green technology and carbon efficiency?," Energy Economics, Elsevier, vol. 114(C).
    10. Xiong, Yuyu & Dai, Li, 2023. "Does green finance investment impact on sustainable development: Role of technological innovation and renewable energy," Renewable Energy, Elsevier, vol. 214(C), pages 342-349.
    11. Chen, Wei & Zou, Wandan & Zhong, Kaiyang & Aliyeva, Alina, 2023. "Machine learning assessment under the development of green technology innovation: A perspective of energy transition," Renewable Energy, Elsevier, vol. 214(C), pages 65-73.
    12. Qin, Meng & Su, Chi-Wei & Umar, Muhammad & Lobonţ, Oana-Ramona & Manta, Alina Georgiana, 2023. "Are climate and geopolitics the challenges to sustainable development? Novel evidence from the global supply chain," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 748-763.
    13. Hussain, Jafar & Lee, Chien-Chiang & Chen, Yongxiu, 2022. "Optimal green technology investment and emission reduction in emissions generating companies under the support of green bond and subsidy," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    14. Xu, Jie & Chen, Fu & Zhang, Weiwei & Liu, Yiting & Li, Tingting, 2023. "Analysis of the carbon emission reduction effect of Fintech and the transmission channel of green finance," Finance Research Letters, Elsevier, vol. 56(C).
    15. Liu, Fangying & Su, Chi Wei & Tao, Ran & Umar, Muhammad, 2023. "The instability of U.S. economic policy: A hindrance or a stimulus to green financing?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 33-46.
    16. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    17. Yu, Bo & Liu, Lu & Chen, Hong, 2023. "Can green finance improve the financial performance of green enterprises in China?," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 1287-1300.
    18. Chen, Huanyu & Yi, Jizheng & Chen, Aibin & Peng, Duanxiang & Yang, Jieqiong, 2023. "Green technology innovation and CO2 emission in China: Evidence from a spatial-temporal analysis and a nonlinear spatial durbin model," Energy Policy, Elsevier, vol. 172(C).
    19. Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
    20. Gong, Qinyi & Ying, Limeng & Dai, Jiapeng, 2023. "Green finance and energy natural resources nexus with economic performance: A novel evidence from China," Resources Policy, Elsevier, vol. 84(C).
    21. Wang, Jiaqi & Tian, Jiaxin & Kang, Yuxin & Guo, Kun, 2023. "Can green finance development abate carbon emissions: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 73-91.
    22. Liu, Yang & Zhao, Xiaomeng & Dong, Kangyin & Jiang, Qingzhe, 2023. "Assessing the role of green finance in sustainable energy investments by power utilities: Evidence from China," Utilities Policy, Elsevier, vol. 84(C).
    23. Zhang, Dongyang, 2023. "Does green finance really inhibit extreme hypocritical ESG risk? A greenwashing perspective exploration," Energy Economics, Elsevier, vol. 121(C).
    24. Chi-Wei Su & Kai-Hua Wang & Oana-Ramona Lobonţ & Meng Qin, 2023. "Continuous Wavelet Transform of Time-Frequency Analysis Technique to Capture the Dynamic Hedging Ability of Precious Metals," Mathematics, MDPI, vol. 11(5), pages 1-18, February.
    25. Song, Yang & Zhang, Zhiyuan & Sahut, Jean-Michel & Rubin, Ofir, 2023. "Incentivizing green technology innovation to confront sustainable development," Technovation, Elsevier, vol. 126(C).
    26. Salman, Muhammad & Long, Xingle & Wang, Guimei & Zha, Donglan, 2022. "Paris climate agreement and global environmental efficiency: New evidence from fuzzy regression discontinuity design," Energy Policy, Elsevier, vol. 168(C).
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    More about this item

    Keywords

    Paris Climate Agreement goals; Green finance; Green technology; Quantile on quantile regression; Wavelet analysis;
    All these keywords.

    JEL classification:

    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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