The impact of artificial intelligence on energy environmental performance: Empirical evidence from cities in China
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DOI: 10.1016/j.eneco.2024.108136
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- Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012.
"The Environment and Directed Technical Change,"
American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
- Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2009. "The Environment and Directed Technical Change," NBER Working Papers 15451, National Bureau of Economic Research, Inc.
- Acemoglu, Daron & Aghion, Philippe & Bursztyn, Leonardo & Hemous, David, 2010. "The Environment and Directed Technical Change," Sustainable Development Papers 92839, Fondazione Eni Enrico Mattei (FEEM).
- Aghion, Philippe & Acemoglu, Daron & Hémous, David & Bursztyn, Leonardo, 2011. "The Environment and Directed Technical Change," CEPR Discussion Papers 8660, C.E.P.R. Discussion Papers.
- Acemoglu, Daron & Aghion, Philippe & Bursztyn, Leonardo & Hemous, David, 2010. "The Environment and Directed Technical Change," Seminar Papers 762, Stockholm University, Institute for International Economic Studies.
- Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2010. "The Environment and Directed Technical Change," Working Papers 2010.93, Fondazione Eni Enrico Mattei.
- Federico Cugurullo & Federico Caprotti & Matthew Cook & Andrew Karvonen & Pauline Má¶œGuirk & Simon Marvin, 2024. "The rise of AI urbanism in post-smart cities: A critical commentary on urban artificial intelligence," Urban Studies, Urban Studies Journal Limited, vol. 61(6), pages 1168-1182, May.
- Ahmad, Tanveer & Madonski, Rafal & Zhang, Dongdong & Huang, Chao & Mujeeb, Asad, 2022. "Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
- Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020.
"Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review,"
Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
- A. Di Vaio & R. Palladino & R. Hassan & O. Escobar, 2020. "Artificial Intelligence and Business Models in the Sustainable Development Goals Perspective: A Systematic Literature Review," Post-Print hal-04457122, HAL.
- Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
- Rasheed, Muhammad Qamar & Yuhuan, Zhao & Haseeb, Abdul & Ahmed, Zahoor & Saud, Shah, 2024. "Asymmetric relationship between competitive industrial performance, renewable energy, industrialization, and carbon footprint: Does artificial intelligence matter for environmental sustainability?," Applied Energy, Elsevier, vol. 367(C).
- Ibrahim, Ridwan Lanre & Al-mulali, Usama & Ozturk, Ilhan & Bello, Ajide Kazeem & Raimi, Lukman, 2022. "On the criticality of renewable energy to sustainable development: Do green financial development, technological innovation, and economic complexity matter for China?," Renewable Energy, Elsevier, vol. 199(C), pages 262-277.
- Tian, Ying & Feng, Chao, 2023. "Breaking “resource curse” through green technological innovations: Evidence from 286 cities in China," Resources Policy, Elsevier, vol. 85(PA).
- Lee, Chien-Chiang & Feng, Yi & Peng, Diyun, 2022. "A green path towards sustainable development: The impact of low-carbon city pilot on energy transition," Energy Economics, Elsevier, vol. 115(C).
- Fredström, Ashkan & Wincent, Joakim & Sjödin, David & Oghazi, Pejvak & Parida, Vinit, 2021. "Tracking innovation diffusion: AI analysis of large-scale patent data towards an agenda for further research," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
- Di Somma, M. & Graditi, G. & Heydarian-Forushani, E. & Shafie-khah, M. & Siano, P., 2018. "Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects," Renewable Energy, Elsevier, vol. 116(PA), pages 272-287.
- Hassan, Taimoor & Song, Huaming & Khan, Yasir & Kirikkaleli, Dervis, 2022. "Energy efficiency a source of low carbon energy sources? Evidence from 16 high-income OECD economies," Energy, Elsevier, vol. 243(C).
- Kopka, Alexander & Grashof, Nils, 2022. "Artificial intelligence: Catalyst or barrier on the path to sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
- Wen, Huwei & Liang, Weitao & Lee, Chien-Chiang, 2022. "Urban broadband infrastructure and green total-factor energy efficiency in China," Utilities Policy, Elsevier, vol. 79(C).
- Jin, Peizhen & Mangla, Sachin Kumar & Song, Malin, 2022. "The power of innovation diffusion: How patent transfer affects urban innovation quality," Journal of Business Research, Elsevier, vol. 145(C), pages 414-425.
- A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
- David H. Autor, 2003. "Outsourcing at Will: The Contribution of Unjust Dismissal Doctrine to the Growth of Employment Outsourcing," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 1-42, January.
- Liao, Tailai & Yan, Jingdong & Zhang, Qiuhong, 2024. "The impact of green technology innovation on carbon emission efficiency: The intermediary role of intellectual capital," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 520-532.
- Chotia, Varun & Cheng, Yue & Agarwal, Reeti & Vishnoi, Sushant Kumar, 2024. "AI-enabled Green Business Strategy: Path to carbon neutrality via environmental performance and green process innovation," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
- O'Shaughnessy, Eric & Cutler, Dylan & Ardani, Kristen & Margolis, Robert, 2018. "Solar plus: Optimization of distributed solar PV through battery storage and dispatchable load in residential buildings," Applied Energy, Elsevier, vol. 213(C), pages 11-21.
- Lee, Chien-Chiang & Zhao, Ya-Nan, 2023. "Heterogeneity analysis of factors influencing CO2 emissions: The role of human capital, urbanization, and FDI," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
- Kevin C. Desouza & Michael Hunter & Benoy Jacob & Tan Yigitcanlar, 2020. "Pathways to the Making of Prosperous Smart Cities: An Exploratory Study on the Best Practice," Journal of Urban Technology, Taylor & Francis Journals, vol. 27(3), pages 3-32, July.
- Sampene, Agyemang Kwasi & Li, Cai & Wiredu, John, 2024. "An outlook at the switch to renewable energy in emerging economies: The beneficial effect of technological innovation and green finance," Energy Policy, Elsevier, vol. 187(C).
- Oh, Dong-hyun, 2010. "A metafrontier approach for measuring an environmentally sensitive productivity growth index," Energy Economics, Elsevier, vol. 32(1), pages 146-157, January.
- Tan Yigitcanlar & Rashid Mehmood & Juan M. Corchado, 2021. "Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
- Paul Goldsmith-Pinkham & Isaac Sorkin & Henry Swift, 2020.
"Bartik Instruments: What, When, Why, and How,"
American Economic Review, American Economic Association, vol. 110(8), pages 2586-2624, August.
- Paul Goldsmith-Pinkham & Isaac Sorkin & Henry Swift, 2018. "Bartik Instruments: What, When, Why, and How," NBER Working Papers 24408, National Bureau of Economic Research, Inc.
- Wang, Yajun & Huang, Junbing, 2022. "Pathway to develop a low-carbon economy through energy-substitution technology in China," Energy, Elsevier, vol. 261(PA).
- Liu, Qilu & Cheng, Kaiming & Zhuang, Yanjie, 2022. "Estimation of city energy consumption in China based on downscaling energy balance tables," Energy, Elsevier, vol. 256(C).
- Saunders, Harry D., 2008. "Fuel conserving (and using) production functions," Energy Economics, Elsevier, vol. 30(5), pages 2184-2235, September.
- Esparcia, Carlos & Diaz, Antonio & Alonso, Daniel, 2023. "How important is green awareness in energy investment decisions? An environmentally-based rebalancing portfolio study," Energy Economics, Elsevier, vol. 128(C).
- Jiang Xu & Anthony G.O. Yeh, 2005. "City Repositioning and Competitiveness Building in Regional Development: New Development Strategies in Guangzhou, China," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 29(2), pages 283-308, June.
- Jing, Ruifeng & Liu, Ruizhi, 2024. "The impact of green finance on persistence of green innovation at firm-level: A moderating perspective based on environmental regulation intensity," Finance Research Letters, Elsevier, vol. 62(PB).
- Guy Michaels & Ashwini Natraj & John Van Reenen, 2010.
"Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years,"
CEP Discussion Papers
dp0987, Centre for Economic Performance, LSE.
- Van Reenen, John & Michaels, Guy & Natraj, Ashwini, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 years," CEPR Discussion Papers 7898, C.E.P.R. Discussion Papers.
- Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 years," NBER Working Papers 16138, National Bureau of Economic Research, Inc.
- Michaels, Guy & Natraj, Ashwini & Van Reenen, John, 2010. "Has ICT polarized skill demand?: evidence from eleven countries over 25 Years," LSE Research Online Documents on Economics 28739, London School of Economics and Political Science, LSE Library.
- Michaels, Guy & Natraj, Ashwini & Van Reenen, John, 2014. "Has ICT polarized skill demand? Evidence from eleven countries over 25 years," LSE Research Online Documents on Economics 46830, London School of Economics and Political Science, LSE Library.
- Huang, Geng & He, Ling-Yun & Lin, Xi, 2022. "Robot adoption and energy performance: Evidence from Chinese industrial firms," Energy Economics, Elsevier, vol. 107(C).
- Lee, Chien-Chiang & Ho, Shan-Ju, 2022. "Impacts of export diversification on energy intensity, renewable energy, and waste energy in 121 countries: Do environmental regulations matter?," Renewable Energy, Elsevier, vol. 199(C), pages 1510-1522.
- Li, Bo & Han, Yukai & Wang, Chensheng & Sun, Wei, 2022. "Did civilized city policy improve energy efficiency of resource-based cities? Prefecture-level evidence from China," Energy Policy, Elsevier, vol. 167(C).
- Yin, Zi Hui & Zeng, Wei Ping, 2023. "The effects of industrial intelligence on China's energy intensity: The role of technology absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
- Rahman, Mohammad Mafizur & Alam, Khosrul, 2021. "Clean energy, population density, urbanization and environmental pollution nexus: Evidence from Bangladesh," Renewable Energy, Elsevier, vol. 172(C), pages 1063-1072.
- Lee, Chien-Chiang & Yuan, Zihao & Lee, Chi-Chuan, 2023. "A nonlinear analysis of the impacts of information and communication technologies on environmental quality: A global perspective," Energy Economics, Elsevier, vol. 128(C).
- Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
- Hua, Qian & Liu, Gang & Sun, Di & Zhu, Licai, 2022. "Spatial effects of technology market development on energy efficiency: Heterogeneity analysis based on the characteristics of technology market," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
- Hashem, Ibrahim Abaker Targio & Chang, Victor & Anuar, Nor Badrul & Adewole, Kayode & Yaqoob, Ibrar & Gani, Abdullah & Ahmed, Ejaz & Chiroma, Haruna, 2016. "The role of big data in smart city," International Journal of Information Management, Elsevier, vol. 36(5), pages 748-758.
- Alfalih, Abdulaziz Abdulmohsen & Hadj, Tarek Bel, 2024. "Ecological impact assessment of green technological innovation under different thresholds of human capital in G20 countries," Technological Forecasting and Social Change, Elsevier, vol. 201(C).
- Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
- Zhang, Weike & Zeng, Ming, 2024. "Is artificial intelligence a curse or a blessing for enterprise energy intensity? Evidence from China," Energy Economics, Elsevier, vol. 134(C).
- Balado-Naves, Roberto & Baños-Pino, José Francisco & Mayor, Matías, 2023. "Spatial spillovers and world energy intensity convergence," Energy Economics, Elsevier, vol. 124(C).
- Yu, Zhichao & Kamran, Hafiz Waqas & Amin, Azka & Ahmed, Bilal & Peng, Sun, 2023. "Sustainable synergy via clean energy technologies and efficiency dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
- Myovella, Godwin & Karacuka, Mehmet & Haucap, Justus, 2020. "Digitalization and economic growth: A comparative analysis of Sub-Saharan Africa and OECD economies," Telecommunications Policy, Elsevier, vol. 44(2).
- Lee, Chien-Chiang & Yan, Jingyang, 2024. "Will artificial intelligence make energy cleaner? Evidence of nonlinearity," Applied Energy, Elsevier, vol. 363(C).
- Robert Helsley, 2004. "Economics of Agglomeration: Cities, Industrial Location and Regional Growth," Journal of Economic Geography, Oxford University Press, vol. 4(3), pages 345-349, June.
- Stracqualursi, Erika & Rosato, Antonello & Di Lorenzo, Gianfranco & Panella, Massimo & Araneo, Rodolfo, 2023. "Systematic review of energy theft practices and autonomous detection through artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
- Amiri-Pebdani, Sima & Alinaghian, Mahdi & Safarzadeh, Soroush, 2022. "Time-Of-Use pricing in an energy sustainable supply chain with government interventions: A game theory approach," Energy, Elsevier, vol. 255(C).
- Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
- Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
- Ansari, Mohd Arshad, 2022. "Re-visiting the Environmental Kuznets curve for ASEAN: A comparison between ecological footprint and carbon dioxide emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
- Aguilar, J. & Garces-Jimenez, A. & R-Moreno, M.D. & García, Rodrigo, 2021. "A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
- Zhou, Wei & Zhuang, Yan & Chen, Yan, 2024. "How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology," Energy Economics, Elsevier, vol. 131(C).
- Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
- Zaghdoudi, Taha & Tissaoui, Kais & Maaloul, Mohamed Hédi & Bahou, Younès & Kammoun, Niazi, 2023. "Asymmetric connectedness between oil price, coal and renewable energy consumption in China: Evidence from Fourier NARDL approach," Energy, Elsevier, vol. 285(C).
- Chen, Yang & Cheng, Liang & Lee, Chien-Chiang, 2022. "How does the use of industrial robots affect the ecological footprint? International evidence," Ecological Economics, Elsevier, vol. 198(C).
- Shabir, Maria & Pazienza, Pasquale & De Lucia, Caterina, 2023. "Energy innovation and ecological footprint: Evidence from OECD countries during 1990–2018," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
- Abbas, Khizar & Butt, Khalid Manzoor & Xu, Deyi & Baz, Khan & Sheraz, Muhammad & Kharl, Sanwal Hussain, 2023. "Dynamic prognostic interaction between social development and energy consumption optimization: Evidence from european union member countries," Energy, Elsevier, vol. 278(C).
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Artificial intelligence; Energy environmental performance; Spatial siphon effect; Energy rebound;All these keywords.
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