1. Green finance, environmental quality and technological innovation in China. (2025). Lee, Chienchiang ; Su, Yan.
   In: International Journal of Finance & Economics.
   RePEc:wly:ijfiec:v:30:y:2025:i:1:p:405-425.

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2. Asymmetric time-frequency risk spillovers between the Fourth Industrial Revolution assets and commodity futures: Is economic policy uncertainty a driving factor?. (2025). Su, Xianfang ; Zhao, Yachao.
   In: Global Finance Journal.
   RePEc:eee:glofin:v:64:y:2025:i:c:s1044028325000031.

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3. Role of fourth industrial revolution on dirty and clean energy under bearish, neutral and bullish market conditions: A quantile-on-quantile Granger causality approach. (2025). USMAN, OJONUGWA ; Ibrahim, Blend ; Ozkan, Oktay ; Ike, George N.
   In: Energy.
   RePEc:eee:energy:v:322:y:2025:i:c:s0360544225012241.

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4. The dynamic connectedness in the “carbon-energy-green finance” system: The role of climate policy uncertainty and artificial intelligence. (2025). Qi, Shaozhou ; Pang, Lidong ; Li, Xinqiang ; Huang, Lin.
   In: Energy Economics.
   RePEc:eee:eneeco:v:143:y:2025:i:c:s0140988325000647.

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5. The impact of digital-real integration on energy productivity under a multi-governance framework: The mediating role of AI and embodied technological progress. (2025). Zhong, Min ; Liu, Junnan ; Wang, Yafei ; Shi, Ming ; Ran, Rong.
   In: Energy Economics.
   RePEc:eee:eneeco:v:142:y:2025:i:c:s0140988324008764.

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6. Cross-quantile risk assessment: The interplay of crude oil, artificial intelligence, clean tech, and other markets. (2025). Shafiullah, Muhammad ; Gubareva, Mariya ; Teplova, Tamara.
   In: Energy Economics.
   RePEc:eee:eneeco:v:141:y:2025:i:c:s0140988324007941.

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7. Achieving Environmental sustainability through the adoption of industry 4.0: an exploratory case study within the information technology industry. (2024). Osama, Alkhlaifat ; Bartok, Istvan Janos ; Mohamed, El Merroun.
   In: Logistics, Supply Chain, Sustainability and Global Challenges.
   RePEc:vrs:losutr:v:15:y:2024:i:s1:p:10-28:n:1001.

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8. Challenges, Roadmaps and Smart Energy Transition towards 100% Renewable Energy Markets in American Islands: A Review. (2024). Marin, Edwin ; Vallejo-Ramirez, David ; Icaza, Daniel ; Granda, Carlos Guerrero.
   In: Energies.
   RePEc:gam:jeners:v:17:y:2024:i:5:p:1059-:d:1344572.

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9. Impact of population aging on food security in the context of artificial intelligence: Evidence from China. (2024). Lee, Chien-Chiang ; Yan, Jingyang ; Wang, Fuhao.
   In: Technological Forecasting and Social Change.
   RePEc:eee:tefoso:v:199:y:2024:i:c:s0040162523007473.

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10. Does the carbon market signal the market efficiency of clean and dirty cryptocurrencies? An analysis of quantile directional dependence. (2024). Wei, YU ; Hu, Rui ; Wang, Qian ; Zhang, Jiahao.
    In: Finance Research Letters.
    RePEc:eee:finlet:v:67:y:2024:i:pb:s1544612324009437.

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11. Asymmetric relationship between carbon market and energy markets. (2024). Tiwari, Aviral ; Lee, Chien-Chiang ; Shao, David Xuefeng ; Aikins, Emmanuel Joel.
    In: Energy.
    RePEc:eee:energy:v:313:y:2024:i:c:s0360544224034340.

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12. How AI shapes greener futures: Comparative insights from equity vs debt investment responses in renewable energy. (2024). Tang, Kai ; Wen, Jun ; Yin, Hua-Tang ; Chang, Chun-Ping.
    In: Energy Economics.
    RePEc:eee:eneeco:v:136:y:2024:i:c:s0140988324004080.

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13. Attention to climate change and eco-friendly financial-asset prices: A quantile ARDL approach. (2024). , Walid.
    In: Energy Economics.
    RePEc:eee:eneeco:v:136:y:2024:i:c:s0140988324004043.

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14. Can artificial intelligence help accelerate the transition to renewable energy?. (2024). Mirza, Nawazish ; Stan, Sebastian-Emanuel ; Zhao, Qian ; Wang, LU.
    In: Energy Economics.
    RePEc:eee:eneeco:v:134:y:2024:i:c:s0140988324002925.

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15. Do macroprudential policies reduce risk spillovers between energy markets?: Evidence from time-frequency domain and mixed-frequency methods. (2024). Bai, YU ; Xu, Xin ; Xie, Qichang ; Jia, Nanfei.
    In: Energy Economics.
    RePEc:eee:eneeco:v:134:y:2024:i:c:s0140988324002664.

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16. The rising role of artificial intelligence in renewable energy development in China. (2024). Oprean-Stan, Camelia ; Shao, Xuefeng ; Zhang, Xiaojing ; Khan, Khalid.
    In: Energy Economics.
    RePEc:eee:eneeco:v:132:y:2024:i:c:s014098832400197x.

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17. Environmental performance evaluation of electric enterprises during a power crisis: Evidence from DEA methods and AI prediction algorithms. (2024). Lee, Chien-Chiang ; Pan, Yinghao ; Lv, Suxiang ; Zhang, Chao-Chao.
    In: Energy Economics.
    RePEc:eee:eneeco:v:130:y:2024:i:c:s0140988323007831.

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18. The role of green energy stock market in forecasting Chinas crude oil market: An application of IIS approach and sparse regression models. (2024). Sharif, Arshian ; Lee, Chien-Chiang ; Muhammadullah, Sara ; Khan, Faridoon.
    In: Energy Economics.
    RePEc:eee:eneeco:v:130:y:2024:i:c:s0140988323007673.

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19. Does climate change matter for bank profitability? Evidence from China. (2024). Lee, Chien-Chiang ; Zhang, Xiaoli.
    In: The North American Journal of Economics and Finance.
    RePEc:eee:ecofin:v:74:y:2024:i:c:s1062940824001827.

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1. Abakah, E.J.A. ; Tiwari, A.K. ; Lee, C.C. ; Ntow-Gyamfi, M. Quantile price convergence and spillover effects among Bitcoin, Fintech, and artificial intelligence stocks. 2023 Int Rev Finance. 23 187-205

2. Abdulov, R. Artificial intelligence as an important factor of sustainable and crisis-free economic growth. 2020 Procedia Comput Sci. 169 468-472
   Paper not yet in RePEc: Add citation now
   

3. Aghion, P. ; Jones, B.F. ; Jones, C.I. Artificial intelligence and economic growth. 2018 En : Econ. Artif. Intell. An agenda. University of Chicago Press:

4. Alobaidi, M.H. ; Chebana, F. ; Meguid, M.A. Robust ensemble learning framework for day-ahead forecasting of household based energy consumption. 2018 Appl Energy. 212 997-1012

5. Ando, T. ; Greenwood-Nimmo, M. ; Shin, Y. Quantile connectedness: modeling tail behavior in the topology of financial networks. 2022 Manag Sci. 68 2401-2431

6. Athari, S.A. ; Hung, N.T. Time–frequency return co-movement among asset classes around the COVID-19 outbreak: portfolio implications. 2022 J Econ Finance. 46 736-756
   Paper not yet in RePEc: Add citation now
   

7. Balcilar, M. ; Gabauer, D. ; Umar, Z. Crude Oil futures contracts and commodity markets: new evidence from a TVP-VAR extended joint connectedness approach. 2021 Resour Pol. 73 -

8. Baum, C.F. ; Zerilli, P. Jumps and stochastic volatility in crude oil futures prices using conditional moments of integrated volatility. 2016 Energy Econ. 53 175-181

9. Baumol, W.J. Macroeconomics of unbalanced growth: the anatomy of urban crisis. 1967 Am Econ Rev. 57 415-426
   Paper not yet in RePEc: Add citation now
   

10. Będowska-Sójka, B. ; Kliber, A. Can cryptocurrencies hedge oil price fluctuations? A pandemic perspective. 2022 Energy Econ. 115 -

11. Butcher, J. ; Beridze, I. What is the state of artificial intelligence governance globally?. 2019 RUSI J. 164 88-96
    Paper not yet in RePEc: Add citation now
    
12. Cath, C. ; Wachter, S. ; Mittelstadt, B. ; Taddeo, M. ; Floridi, L. Artificial intelligence and the “good society”: the US, EU, and UK approach. 2018 Sci Eng Ethics. 24 505-528
    Paper not yet in RePEc: Add citation now
    

13. Chatziantoniou, I. ; Gabauer, D. EMU risk-synchronisation and financial fragility through the prism of dynamic connectedness. 2021 Q Rev Econ Financ. 79 1-14

14. Chatziantoniou, I. ; Gabauer, D. ; Stenfors, A. Interest rate swaps and the transmission mechanism of monetary policy: a quantile connectedness approach. 2021 Econ Lett. 204 -

15. Chen, C. ; Hu, Y. ; Marimuthu, K. ; Kumar, P.M. Artificial intelligence on economic evaluation of energy efficiency and renewable energy technologies. 2021 Sustain Energy Technol Assessments. 47 -
    Paper not yet in RePEc: Add citation now
    

16. Chen, S. ; Bouteska, A. ; Sharif, T. ; Abedin, M.Z. The Russia–Ukraine war and energy market volatility: a novel application of the volatility ratio in the context of natural gas. 2023 Resour Pol. 85 -

17. Croutzet, A. ; Dabbous, A. Do FinTech trigger renewable energy use? Evidence from OECD countries. 2021 Renew Energy. 179 1608-1617

18. Di Sanzo, S. A Markov switching long memory model of crude oil price return volatility. 2018 Energy Econ. 74 351-359

19. Diebold, F.X. ; Yilmaz, K. Better to give than to receive: predictive directional measurement of volatility spillovers. 2012 Int J Forecast. 28 57-66

20. Diebold, F.X. ; Yilmaz, K. ; Binder, M. ; Dominguez, K. ; Frankel, J. ; Giavazzi, F. Measuring financial asset return and volatility spillovers, with application to global equity markets. 2009 Econ J. 119 158-171

21. Du, J. ; Shen, Z. ; Song, M. ; Zhang, L. Nexus between digital transformation and energy technology innovation: an empirical test of A-share listed enterprises. 2023 Energy Econ. 120 -

22. Duch-Brown, N. ; Rossetti, F. Digital platforms across the European regional energy markets. 2020 Energy Pol. 144 -

23. El Khoury, R. ; Nasrallah, N. ; Hussainey, K. ; Assaf, R. Spillover analysis across FinTech, ESG, and renewable energy indices before and during the Russia–Ukraine war: international evidence. 2023 J Int Financ Manag Account. 34 279-317
    Paper not yet in RePEc: Add citation now
    

24. Elsayed, A.H. ; Naifar, N. ; Nasreen, S. ; Tiwari, A.K. Dependence structure and dynamic connectedness between green bonds and financial markets: fresh insights from time-frequency analysis before and during COVID-19 pandemic. 2022 Energy Econ. 107 -

25. Furman, J. ; Seamans, R. AI and the economy. 2019 Innovat Pol Econ. 19 161-191
    Paper not yet in RePEc: Add citation now
    

26. Ghisetti, C. ; Quatraro, F. Green technologies and environmental productivity: a cross-sectoral analysis of direct and indirect effects in Italian regions. 2017 Ecol Econ. 132 1-13

27. Ghoddusi, H. ; Creamer, G.G. ; Rafizadeh, N. Machine learning in energy economics and finance: a review. 2019 Energy Econ. 81 709-727
    Paper not yet in RePEc: Add citation now
    

28. Gkillas, K. ; Gupta, R. ; Pierdzioch, C. Forecasting realized oil-price volatility: the role of financial stress and asymmetric loss. 2020 J Int Money Finance. 104 -

29. Goodell, J.W. COVID-19 and finance: agendas for future research. 2020 Finance Res Lett. -

30. Hamid, M. ; Ganne, A. Artificial intelligence in energy markets and power systems. 2023 Int Res J Mod Eng Technol Sci. -
    Paper not yet in RePEc: Add citation now
    

31. Han, H. ; Linton, O. ; Oka, T. ; Whang, Y.J. The cross-quantilogram: measuring quantile dependence and testing directional predictability between time series. 2016 J Econom. 193 251-270

32. Hepburn, C. ; Qi, Y. ; Stern, N. ; Ward, B. ; Xie, C. ; Zenghelis, D. Towards carbon neutrality and China's 14th Five-Year Plan: clean energy transition, sustainable urban development, and investment priorities. 2021 Environ Sci Ecotechnology. 8 -
    Paper not yet in RePEc: Add citation now
    

33. Huang, L. ; Wang, J. Global crude oil price prediction and synchronization based accuracy evaluation using random wavelet neural network. 2018 Energy. 151 875-888

34. Ji, Q. ; Liu, B.Y. ; Nehler, H. ; Uddin, G.S. Uncertainties and extreme risk spillover in the energy markets: a time-varying copula-based CoVaR approach. 2018 Energy Econ. 76 115-126

35. Karim, S. ; Naeem, M.A. ; Shafiullah, M. ; Lucey, B.M. ; Ashraf, S. Asymmetric relationship between climate policy uncertainty and energy metals: evidence from cross-quantilogram. 2023 Finance Res Lett. 54 -

36. Khan, K. ; Su, C.W. ; Khurshid, A. ; Umar, M. COVID-19 impact on multifractality of energy prices: asymmetric multifractality analysis. 2022 Energy. 256 -

37. Khan, K. ; Su, C.W. ; Zhu, M.N. Examining the behaviour of energy prices to COVID-19 uncertainty: a quantile on quantile approach. 2022 Energy. 239 -

38. Klingenberg, C.O. ; Borges, M.A.V. ; Antunes, J.A.V. Industry 4.0 as a data-driven paradigm: a systematic literature review on technologies. 2021 J Manuf Technol Manag. 32 570-592
    Paper not yet in RePEc: Add citation now
    

39. Koop, G. ; Pesaran, M.H. ; Potter, S.M. Impulse response analysis in nonlinear multivariate models. 1996 J Econom. 74 119-147

40. Koot, M. ; Wijnhoven, F. Usage impact on data center electricity needs: a system dynamic forecasting model. 2021 Appl Energy. 291 -

41. Kyritsis, E. ; Serletis, A. Oil prices and the renewable energy sector. 2019 Energy J. 40 337-364

42. Le, T.L. ; Abakah, E.J.A. ; Tiwari, A.K. Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the fourth industrial revolution. 2021 Technol Forecast Soc Change. 162 -

43. Legg, S. ; Hutter, M. A collection of definitions of intelligence. 2007 Front Artif Intell Appl. 157 17-24
    Paper not yet in RePEc: Add citation now
    

44. Linton, O. ; Whang, Y.J. The quantilogram: with an application to evaluating directional predictability. 2007 J Econom. 141 250-282

45. Liu, H. ; Yao, P. ; Latif, S. ; Aslam, S. ; Iqbal, N. Impact of Green financing, FinTech, and financial inclusion on energy efficiency. 2022 Environ Sci Pollut Res. 29 18955-18966
    Paper not yet in RePEc: Add citation now
    

46. Liu, M. ; Choo, W. ; Lee, C. The response of the stock market to the announcement of global pandemic. 2020 Emerg Mark Finance Trade. 56 3562-3577

47. Liu, M. ; Lee, C.-C. Capturing the dynamics of the China crude oil futures: markov switching, co-movement, and volatility forecasting. 2021 Energy Econ. 103 -

48. Liu, M. ; Lee, C.-C. Is gold a long-run hedge, diversifier, or safe haven for oil? Empirical evidence based on DCC-MIDAS. 2022 Resour Pol. 76 -

49. Lu, C.H. The impact of artificial intelligence on economic growth and welfare. 2021 J Macroecon. 69 -
    Paper not yet in RePEc: Add citation now
    
50. Makridakis, S. The forthcoming Artificial Intelligence (AI) revolution: its impact on society and firms. 2017 Futures. 90 46-60
    Paper not yet in RePEc: Add citation now
    
51. Mbah, R.E. ; Wasum, D. Russian-Ukraine 2022 war: a review of the economic impact of Russian-Ukraine crisis on the USA, UK, Canada, and europe. 2022 Adv Soc Sci Res J. 9 144-153
    Paper not yet in RePEc: Add citation now
    

52. Mensi, W. ; Hamed Al-Yahyaee, K. ; Vinh Vo, X. ; Hoon Kang, S. Dynamic spillover and connectedness between oil futures and European bonds. 2021 N Am J Econ Finance. 56 -

53. Moghaddam, M.B. The relationship between oil price changes and economic growth in Canadian provinces: evidence from a quantile-on-quantile approach. 2023 Energy Econ. 125 -

54. Mwamba, M. ; John, W. ; Mwambi, S.M. Assessing market risk in brics and oil markets: an application of markov switching and vine copula. 2021 Int J Financ Stud. 9 -

55. Naeem, M.A. ; Sadorsky, P. ; Karim, S. Sailing across climate-friendly bonds and clean energy stocks: an asymmetric analysis with the Gulf Cooperation Council Stock markets. 2023 Energy Econ. 126 -

56. Narayan, S. ; Doytch, N. An investigation of renewable and non-renewable energy consumption and economic growth nexus using industrial and residential energy consumption. 2017 Energy Econ. 68 160-176

57. Niu, Z. ; Liu, Y. ; Gao, W. ; Zhang, H. The role of coronavirus news in the volatility forecasting of crude oil futures markets: evidence from China. 2021 Resour Pol. 73 -

58. Okorie, D.I. ; Lin, B. Crude oil price and cryptocurrencies: evidence of volatility connectedness and hedging strategy. 2020 Energy Econ. 87 -

59. Ozturk, I. A literature survey on energy-growth nexus. 2010 Energy Pol. 38 340-349

60. Pesaran, H.H. ; Shin, Y. Generalized impulse response analysis in linear multivariate models. 1998 Econ Lett. 58 17-29

61. Russell, S. ; Norvig, P. . 2010 Pearson Education, Inc.:
    Paper not yet in RePEc: Add citation now
    

62. Scheitrum, D.P. ; Carter, C.A. ; Revoredo-Giha, C. WTI and Brent futures pricing structure. 2018 Energy Econ. 72 462-469

63. Sohag, K. ; Begum, R.A. ; Syed Abdullah, S.M. ; Jaafar, M. Dynamics of energy use, technological innovation, economic growth and trade openness in Malaysia. 2015 Energy. 90 1497-1507

64. Stern, D.I. ; Kander, A. The role of energy in the industrial revolution and modern economic growth. 2012 Energy J. 33 125-152

65. Su, C.W. ; Yuan, X. ; Umar, M. ; Chang, T. Dynamic price linkage of energies in transformation: evidence from quantile connectedness. 2022 Resour Pol. 78 -

66. Sun, H. ; Edziah, B.K. ; Kporsu, A.K. ; Sarkodie, S.A. ; Taghizadeh-Hesary, F. Energy efficiency: the role of technological innovation and knowledge spillover. 2021 Technol Forecast Soc Change. 167 -
    Paper not yet in RePEc: Add citation now
    

67. Tiwari, A.K. ; Abakah, E.J.A. ; Shao, X. ; Le, T.L. ; Gyamfi, M.N. Financial technology stocks, green financial assets, and energy markets: a quantile causality and dependence analysis. 2023 Energy Econ. 118 -

68. Tiwari, A.K. ; Trabelsi, N. ; Abakah, E.J.A. ; Nasreen, S. Lee CC empirical analysis of the dynamic relationship between clean and dirty energy markets. An empirical analysis of the dynamic relationship between clean and dirty energy markets. 2023 Energy Econ. -
    Paper not yet in RePEc: Add citation now
    

69. Uddin, G.S. ; Rahman, M.L. ; Hedström, A. ; Ahmed, A. Cross-quantilogram-based correlation and dependence between renewable energy stock and other asset classes. 2019 Energy Econ. 80 743-759

70. Umar, M. ; Riaz, Y. ; Yousaf, I. Impact of Russian-Ukraine war on clean energy, conventional energy, and metal markets: evidence from event study approach. 2022 Resour Pol. 79 -

71. Vinuesa, R. ; Azizpour, H. ; Leite, I. ; Balaam, M. ; Dignum, V. ; Domisch, S. The role of artificial intelligence in achieving the Sustainable Development Goals. 2020 Nat Commun. 11 1-10

72. Vyshnevskyi, O. ; Liashenko, V. ; Amosha, O. The impact of Industry 4.0 and AI on economic growth. 2019 Sci Pap Silesian Univ Technol Organ Manag Ser. 9 391-400
    Paper not yet in RePEc: Add citation now
    

73. Wirtz, B.W. ; Weyerer, J.C. ; Geyer, C. Artificial intelligence and the public sector—applications and challenges. 2019 Int J Publ Adm. 42 596-615

74. Xu, Y. ; Liu, X. ; Cao, X. ; Huang, C. ; Liu, E. ; Qian, S. Artificial intelligence: a powerful paradigm for scientific research. 2021 Innovation. 2 -
    Paper not yet in RePEc: Add citation now
    

75. Yahya, M. ; Ghosh, S. ; Kanjilal, K. ; Dutta, A. ; Uddin, G.S. Evaluation of cross-quantile dependence and causality between non-ferrous metals and clean energy indexes. 2020 Energy. 202 -

76. Yu, L. ; Zhao, Y. ; Tang, L. A compressed sensing based AI learning paradigm for crude oil price forecasting. 2014 Energy Econ. 46 236-245

77. Yu, Z. ; Liang, Z. ; Xue, L. A data-driven global innovation system approach and the rise of China's artificial intelligence industry. 2022 Reg Stud. 56 619-629

78. Zhang, X. ; Yu, L. ; Wang, S. ; Keung, K. Estimating the impact of extreme events on crude oil price : an EMD-based event analysis method. 2009 Energy Econ. 31 768-778

79. Zhang, X. ; Zhao, X. ; He, Y. Does it pay to Be responsible? The performance of ESG investing in China. 2022 Emerg Mark Finance Trade. 58 3048-3075

80. Zhang, Y.J. ; Zhang, H. ; Gupta, R. A new hybrid method with data-characteristic-driven analysis for artificial intelligence and robotics index return forecasting. 2023 Financ Innov. 9 -

81. Zhao, E. ; Sun, S. ; Wang, S. New developments in wind energy forecasting with artificial intelligence and big data: a scientometric insight. 2022 Data Sci Manag. 5 84-95
    Paper not yet in RePEc: Add citation now
    

82. Zhou, W. ; Chen, Y. ; Chen, J. Risk spread in multiple energy markets: extreme volatility spillover network analysis before and during the COVID-19 pandemic. 2022 Energy. 256 -

1. Green intent or black smoke: Exploring investor sentiment on sustainable development. (2025). Song, Xin Yue ; Su, Chi Wei ; Lobon, Oanaramona ; Qin, Meng.
   In: International Journal of Finance & Economics.
   RePEc:wly:ijfiec:v:30:y:2025:i:2:p:1856-1872.

   Full description at Econpapers || Download paper

2. Stock and sovereign returns linkages: time-varying causality and extreme-quantile determinants. (2025). Alves, José ; Afonso, Antonio ; Grabowski, Wojciech ; Monteiro, Sofia.
   In: Working Papers REM.
   RePEc:ise:remwps:wp03662025.

   Full description at Econpapers || Download paper

3. Robot and crime: Evidence from China. (2025). Miao, Liya ; Fang, Guanfu.
   In: World Development.
   RePEc:eee:wdevel:v:188:y:2025:i:c:s0305750x2500004x.

   Full description at Econpapers || Download paper

4. Connectedness and systemic risk between FinTech and traditional financial stocks: Implications for portfolio diversification. (2025). Sadorsky, Perry ; Henriques, Irene.
   In: Research in International Business and Finance.
   RePEc:eee:riibaf:v:73:y:2025:i:pa:s0275531924004227.

   Full description at Econpapers || Download paper

5. Digital transformation and enterprise employment. (2025). Zhang, Wentao ; Nguyen, Thithuha ; Li, Zhizhuo ; Gao, Jie.
   In: International Review of Economics & Finance.
   RePEc:eee:reveco:v:99:y:2025:i:c:s1059056025001996.

   Full description at Econpapers || Download paper

6. Decoding the nexus: How fintech and AI stocks drive the future of sustainable finance. (2025). Ren, Yi-Shuai ; Liu, Xukang ; Ma, Chao-Qun ; Klein, Tony.
   In: International Review of Economics & Finance.
   RePEc:eee:reveco:v:98:y:2025:i:c:s1059056025000401.

   Full description at Econpapers || Download paper

7. How does artificial intelligence shock affect labor income distribution? Evidence from China. (2025). Zhou, Yucheng ; Wu, Shinong ; Fan, Xiamin.
   In: Pacific-Basin Finance Journal.
   RePEc:eee:pacfin:v:90:y:2025:i:c:s0927538x25000289.

   Full description at Econpapers || Download paper

8. Tail risk contagion and multiscale spillovers in the green finance index and large US technology stocks. (2025). Zeng, Hongjun ; Abedin, Mohammad Zoynul ; Ma, Shenglin ; Lucey, Brian.
   In: International Review of Financial Analysis.
   RePEc:eee:finana:v:97:y:2025:i:c:s105752192400797x.

   Full description at Econpapers || Download paper

9. Stock and Sovereign Returns Linkages: Time-Varying Causality and Extreme-Quantile Determinants. (2025). Afonso, Antonio ; Monteiro, Sofia ; Grabowski, Wojciech ; Alves, Jos.
   In: CESifo Working Paper Series.
   RePEc:ces:ceswps:_11667.

   Full description at Econpapers || Download paper

10. Dynamic spillovers and investment strategies across artificial intelligence ETFs, artificial intelligence tokens, and green markets. (2025). Zhou, Wei-Xing ; Yang, Yan-Hong ; Shao, Ying-Hui.
    In: Papers.
    RePEc:arx:papers:2503.01148.

    Full description at Econpapers || Download paper

11. Artificial intelligence as a disruptive force in economics: transformations, challenges, and future prospects. (2025). al Mawla, Bouchra ; el Kazzi, George M ; Othman, Hiba S.
    In: Theoretical and Applied Economics.
    RePEc:agr:journl:v:xxxii:y:2025:i:2(643):p:87-106.

    Full description at Econpapers || Download paper

12. Artificial Intelligence Drives the Coordinated Development of Green Finance and the Real Economy: Empirical Evidence from Chinese Provincial Level. (2024). Peng, Gangdong ; Han, Minchun ; Yuan, Hankun.
    In: Journal of the Knowledge Economy.
    RePEc:spr:jknowl:v:15:y:2024:i:3:d:10.1007_s13132-023-01506-3.

    Full description at Econpapers || Download paper

13. Asymmetric interactions among cutting-edge technologies and pioneering conventional and Islamic cryptocurrencies: fresh evidence from intra-day-based good and bad volatilities. (2024). Roubaud, David ; Asl, Mahdi Ghaemi.
    In: Financial Innovation.
    RePEc:spr:fininn:v:10:y:2024:i:1:d:10.1186_s40854-024-00623-5.

    Full description at Econpapers || Download paper

14. Unveiling Outperformance: A Portfolio Analysis of Top AI-Related Stocks against IT Indices and Robotics ETFs. (2024). Dammak, Wael ; Sayari, Sonia ; Karoui, Ali Trabelsi ; Jeribi, Ahmed.
    In: Risks.
    RePEc:gam:jrisks:v:12:y:2024:i:3:p:52-:d:1356521.

    Full description at Econpapers || Download paper

15. Labour market dynamics in the era of technological advancements: The system-wide impacts of labour augmenting technological change. (2024). Ross, Andrew ; McGregor, Peter G ; Swales, Kim J.
    In: Technology in Society.
    RePEc:eee:teinso:v:77:y:2024:i:c:s0160791x24000873.

    Full description at Econpapers || Download paper

16. Unpacking the intellectual structure and evolution trend of general-purpose technologies development in innovation studies. (2024). Zhou, Yiting ; Sun, Yaowu ; Xu, Yanan.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:209:y:2024:i:c:s0040162524006383.

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17. Manufacturing intelligentization and technological innovation: Perspectives on intra-industry impacts and inter-industry technology spillovers. (2024). Sun, Xinyu ; Zhu, Han ; Zhang, Aili.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:204:y:2024:i:c:s0040162524002142.

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18. Artificial intelligence and the skill premium: A numerical analysis of theoretical models. (2024). Zhang, Shangfeng ; Luo, Jiayu ; Zhu, Chun ; Cheng, Can.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:200:y:2024:i:c:s0040162523008259.

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19. Assessing dynamic co-movement of news based uncertainty indices and distance-to -default of global FinTech firms. (2024). Hassan, M. Kabir ; Anwer, Zaheer ; Khan, Muhammad Arif ; Harnek, Manjeet Kaur.
    In: Research in International Business and Finance.
    RePEc:eee:riibaf:v:71:y:2024:i:c:s0275531924002691.

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20. Contagion between investor sentiment and green bonds in China during the global uncertainties. (2024). Sharif, Taimur ; Abedin, Mohammad Zoynul ; Bhuiyan, Faruk ; Bouteska, Ahmed.
    In: International Review of Economics & Finance.
    RePEc:eee:reveco:v:93:y:2024:i:pa:p:469-484.

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21. Quantile dependence and asymmetric connectedness between global financial market stress and REIT returns: Evidence from the COVID-19 pandemic. (2024). Armah, Mohammed ; Amewu, Godfred.
    In: The Journal of Economic Asymmetries.
    RePEc:eee:joecas:v:29:y:2024:i:c:s170349492400001x.

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22. AI-driven capital-skill complementarity: Implications for skill premiums and labor mobility. (2024). Wang, Yuzhang ; Li, Chengyou.
    In: Finance Research Letters.
    RePEc:eee:finlet:v:68:y:2024:i:c:s1544612324010742.

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23. Measuring the extreme linkages and time-frequency co-movements among artificial intelligence and clean energy indices. (2024). Zhou, Xiangjing ; Lu, Ran ; Abedin, Mohammad Zoynul ; Zeng, Hongjun.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:92:y:2024:i:c:s105752192400005x.

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24. An empirical study on the response of the energy market to the shock from the artificial intelligence industry. (2024). Lee, Chien-Chiang ; Liu, Min.
    In: Energy.
    RePEc:eee:energy:v:288:y:2024:i:c:s0360544223030499.

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25. Interconnectedness between electricity and artificial intelligence-based markets during the crisis periods: Evidence from the TVP-VAR approach. (2024). Ohikhuare, Obaika M ; Yousaf, Imran ; Li, Yanshuang.
    In: Energy Economics.
    RePEc:eee:eneeco:v:139:y:2024:i:c:s0140988324005930.

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26. Exploring volatility interconnections between AI tokens, AI stocks, and fossil fuel markets: evidence from time and frequency-based connectedness analysis. (2024). Yousaf, Imran ; Li, Yanshuang ; Umar, Muhammad ; Ijaz, Muhammad Shahzad.
    In: Energy Economics.
    RePEc:eee:eneeco:v:133:y:2024:i:c:s0140988324001981.

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27. The application of industrial robots and changes in capital-labour income disparity in China. (2024). He, Ying ; Xu, Aijia ; Zhang, Xinchun ; Liu, Jianxu ; Yu, QI.
    In: Economic Analysis and Policy.
    RePEc:eee:ecanpo:v:84:y:2024:i:c:p:42-56.

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28. Interlinkages of cryptocurrency and stock markets during the COVID-19 pandemic by applying a QVAR model. (2023). Yen, Nguyen Hong ; Ha, Le Thanh.
    In: European Journal of Management and Business Economics.
    RePEc:eme:ejmbep:ejmbe-02-2022-0035.

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29. Do stochastic risks flow between industrial and precious metals, Islamic stocks, green bonds, green stocks, clean investments, major foreign exchange rates, and Bitcoin?. (2023). Rashidi, Muhammad Mahdi ; Asl, Mahdi Ghaemi ; Raheem, Ibrahim D.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:86:y:2023:i:pa:s0301420723008978.

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30. Natural resource saving effects of data factor marketization: Implications for green recovery. (2023). Liao, Hongwei ; Wang, Dingqing ; Liu, Aiguo.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:85:y:2023:i:pa:s0301420723007304.

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31. The impact of artificial intelligence on firms’ energy and resource efficiency: Empirical evidence from China. (2023). Qu, YI ; Ma, Shaoqi ; Li, Juan ; Wang, Jiamin.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:82:y:2023:i:c:s0301420723002155.

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32. Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from Chinas listed companies. (2023). Wang, Zeyu ; Xu, Yang ; Zeng, Liangen ; Zheng, Hao ; Han, Haiting ; Li, Chengming.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:81:y:2023:i:c:s0301420723000326.

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33. Extreme return and volatility connectedness among real estate tokens, REITs, and other assets: The role of global factors and portfolio implications. (2023). Lee, Chi-Chuan ; Adeabah, David ; Abakah, Emmanuel ; Abdullah, Mohammad.
    In: Finance Research Letters.
    RePEc:eee:finlet:v:56:y:2023:i:c:s1544612323004348.

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34. Future of jobs in China under the impact of artificial intelligence. (2023). Li, Youwei ; Bai, Xiaoming ; Shen, Wei ; Zheng, Min ; Wang, Chengzhang.
    In: Finance Research Letters.
    RePEc:eee:finlet:v:55:y:2023:i:pa:s154461232300171x.

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35. Productivity effects of trade in natural resources - comparison with mechanisms of technological specialisation.. (2022). Parteka, Aleksandra ; Zarach, Zuzanna ; Bazychowska, Zuzanna.
    In: GUT FME Working Paper Series A.
    RePEc:gdk:wpaper:68.

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36. Artificial Intelligence and Firm Performance: Does Machine Intelligence Shield Firms from Risks?. (2022). Jin, Shan ; Tu, Linh ; Gan, Christopher ; Le, Bryan.
    In: JRFM.
    RePEc:gam:jjrfmx:v:15:y:2022:i:7:p:302-:d:859590.

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37. Do Artificial Intelligence Applications Affect Carbon Emission Performance?—Evidence from Panel Data Analysis of Chinese Cities. (2022). Ji, Zheng ; Peng, YU ; Chen, Ping ; Gao, Jiawei ; Liang, Han.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:15:p:5730-:d:882223.

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38. Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution. (2022). Venturini, Francesco.
    In: Journal of Economic Behavior & Organization.
    RePEc:eee:jeborg:v:194:y:2022:i:c:p:220-243.

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39. ECONOMIC GROWTH, SCIENTIFIC PROGRESS AND THE LIFE EXPECTANCY INCREASE. (2022). Tamberi, Massimo.
    In: Working Papers.
    RePEc:anc:wpaper:465.

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40. The Relationship between Artificial Intelligence and China’s Sustainable Economic Growth: Focused on the Mediating Effects of Industrial Structural Change. (2021). Liu, Kairan ; Fan, Decheng.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:20:p:11542-:d:659762.

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41. Assessing the impacts of digital government transformation in the EU: Conceptual framework and empirical case studies. (2020). Misuraca, Gianluca ; Vecchi, Giancarlo ; Gloinson, Emily Ryen ; Barcevicius, Egidijus ; Hoorens, Stijn ; Codagnone, Cristiano ; Gunashekar, Salil ; Benedetti, Michele ; Klimaviciute, Luka ; Stewart, Katherine ; Vanini, Irene ; Liva, Giovanni.
    In: JRC Research Reports.
    RePEc:ipt:iptwpa:jrc120865.

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42. Exploring Digital Government transformation in the EU. (2019). Misuraca, Gianluca ; Luka, Klimaviciute ; Vaida, Gineikyte ; Cristiano, Codagnone ; Guonda, Cibaite ; Egidijus, Barcevicius ; Irene, Vanini ; Gianluca, Misuraca ; Loreta, Matulevic ; Giovanni, Liva.
    In: JRC Research Reports.
    RePEc:ipt:iptwpa:jrc118857.

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43. From New Technology to Productivity. (2019). Bartelsman, Eric.
    In: European Economy - Discussion Papers.
    RePEc:euf:dispap:113.

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44. Finding Needles in Haystacks: Artificial Intelligence and Recombinant Growth. (2018). Oettl, Alexander ; McHale, John ; Agrawal, Ajay.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:24541.

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45. Economic Policy for Artificial Intelligence. (2018). Gans, Joshua ; Goldfarb, Avi ; Agrawal, Ajay.
    In: NBER Chapters.
    RePEc:nbr:nberch:14098.

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46. Economic Policy for Artificial Intelligence. (2018). Goldfarb, Avi ; Gans, Joshua ; Agrawal, Ajay.
    In: Working Papers.
    RePEc:ess:wpaper:id:12823.

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47. Artificial Intelligence and Its Implications for Income Distribution and Unemployment. (2017). Stiglitz, Joseph ; Korinek, Anton.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:24174.

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