Do Artificial Intelligence Applications Affect Carbon Emission Performance?—Evidence from Panel Data Analysis of Chinese Cities
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Anders Akerman & Ingvil Gaarder & Magne Mogstad, 2015.
"The Skill Complementarity of Broadband Internet,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1781-1824.
- Akerman, Anders & Gaarder, Ingvil & Mogstad, Magne, 2013. "The Skill Complementarity of Broadband Internet," Research Papers in Economics 2013:15, Stockholm University, Department of Economics.
- Anders Akerman & Ingvil Gaarder & Magne Mogstad, 2015. "The Skill Complementarity of Broadband Internet," NBER Working Papers 20826, National Bureau of Economic Research, Inc.
- Akerman, Anders & Gaarder, Ingvil & Mogstad, Magne, 2013. "The Skill Complementarity of Broadband Internet," IZA Discussion Papers 7762, Institute of Labor Economics (IZA).
- Abraham Kaligambe & Goro Fujita & Tagami Keisuke, 2022. "Estimation of Unmeasured Room Temperature, Relative Humidity, and CO 2 Concentrations for a Smart Building Using Machine Learning and Exploratory Data Analysis," Energies, MDPI, vol. 15(12), pages 1-12, June.
- Zhou, Xiaoxiao & Pan, Zixuan & Shahbaz, Muhammad & Song, Malin, 2020. "Directed technological progress driven by diversified industrial structural change," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 112-129.
- Divya R. Nair & Manjula G. Nair & Tripta Thakur, 2022. "A Smart Microgrid System with Artificial Intelligence for Power-Sharing and Power Quality Improvement," Energies, MDPI, vol. 15(15), pages 1-20, July.
- Georg Graetz & Guy Michaels, 2018.
"Robots at Work,"
The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
- Michaels, Guy & Graetz, Georg, 2015. "Robots at Work," CEPR Discussion Papers 10477, C.E.P.R. Discussion Papers.
- Graetz, Georg & Michaels, Guy, 2018. "Robots at work," LSE Research Online Documents on Economics 87218, London School of Economics and Political Science, LSE Library.
- Graetz, Georg & Michaels, Guy, 2015. "Robots at work," LSE Research Online Documents on Economics 61155, London School of Economics and Political Science, LSE Library.
- Graetz, Georg & Michaels, Guy, 2015. "Robots at Work," IZA Discussion Papers 8938, Institute of Labor Economics (IZA).
- Georg Graetz & Guy Michaels, 2015. "Robots at Work," CEP Discussion Papers dp1335, Centre for Economic Performance, LSE.
- Daron Acemoglu & Pascual Restrepo, 2018.
"Artificial Intelligence, Automation, and Work,"
NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236,
National Bureau of Economic Research, Inc.
- Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," NBER Working Papers 24196, National Bureau of Economic Research, Inc.
- Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-298, Boston University - Department of Economics.
- David H. Autor & Frank Levy & Richard J. Murnane, 2003.
"The skill content of recent technological change: an empirical exploration,"
Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
- David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
- David H. Autor & Frank Levy & Richard J. Murnane, 2001. "The Skill Content of Recent Technological Change: An Empirical Exploration," NBER Working Papers 8337, National Bureau of Economic Research, Inc.
- Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018.
"Artificial Intelligence and Economic Growth,"
NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282,
National Bureau of Economic Research, Inc.
- Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2017. "Artificial Intelligence and Economic Growth," NBER Working Papers 23928, National Bureau of Economic Research, Inc.
- Grant, Don & Jorgenson, Andrew K. & Longhofer, Wesley, 2016. "How organizational and global factors condition the effects of energy efficiency on CO2 emission rebounds among the world's power plants," Energy Policy, Elsevier, vol. 94(C), pages 89-93.
- Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
- Wang, Yuan & Li, Li & Kubota, Jumpei & Han, Rong & Zhu, Xiaodong & Lu, Genfa, 2016. "Does urbanization lead to more carbon emission? Evidence from a panel of BRICS countries," Applied Energy, Elsevier, vol. 168(C), pages 375-380.
- 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.
- Akihiro Otsuka & Mika Goto & Toshiyuki Sueyoshi, 2014. "Energy efficiency and agglomeration economies: the case of Japanese manufacturing industries," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(2), pages 195-212, June.
- Wei, Taoyuan & Liu, Yang, 2017. "Estimation of global rebound effect caused by energy efficiency improvement," Energy Economics, Elsevier, vol. 66(C), pages 27-34.
- Xu, Shi-Chun & He, Zheng-Xia & Long, Ru-Yin, 2014. "Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI," Applied Energy, Elsevier, vol. 127(C), pages 182-193.
- Adila El Maghraoui & Younes Ledmaoui & Oussama Laayati & Hicham El Hadraoui & Ahmed Chebak, 2022. "Smart Energy Management: A Comparative Study of Energy Consumption Forecasting Algorithms for an Experimental Open-Pit Mine," Energies, MDPI, vol. 15(13), pages 1-22, June.
- Jung, Jin Hwa & Lim, Dong-Geon, 2020. "Industrial robots, employment growth, and labor cost: A simultaneous equation analysis," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
- Yi, Ming & Wang, Yiqian & Sheng, Mingyue & Sharp, Basil & Zhang, Yao, 2020. "Effects of heterogeneous technological progress on haze pollution: Evidence from China," Ecological Economics, Elsevier, vol. 169(C).
- Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021.
"Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel,"
Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
- Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial Intelligence and Energy Intensity in China’s Industrial Sector: Effect and Transmission Channel," MPRA Paper 106333, University Library of Munich, Germany.
- Joel Mokyr & Chris Vickers & Nicolas L. Ziebarth, 2015. "The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 31-50, Summer.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Wang, Jianlong & Wang, Weilong & Liu, Yong & Wu, Haitao, 2023. "Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China," Technology in Society, Elsevier, vol. 72(C).
- Ning Xu & He Zhang & Tixin Li & Xiao Ling & Qian Shen, 2022. "How Big Data Affect Urban Low-Carbon Transformation—A Quasi-Natural Experiment from China," IJERPH, MDPI, vol. 19(23), pages 1-16, December.
- Shan Feng & Shuguang Liu, 2023. "Does AI Application Matter in Promoting Carbon Productivity? Fresh Evidence from 30 Provinces in China," Sustainability, MDPI, vol. 15(23), pages 1-19, November.
- Qian Zhang & Qizhen Wang, 2023. "Digitalization, Electricity Consumption and Carbon Emissions—Evidence from Manufacturing Industries in China," IJERPH, MDPI, vol. 20(5), pages 1-21, February.
- Lu Zhang & Renyan Mu & Nigatu Mengesha Fentaw & Yuanfang Zhan & Feng Zhang & Jixin Zhang, 2022. "Industrial Coagglomeration, Green Innovation, and Manufacturing Carbon Emissions: Coagglomeration’s Dynamic Evolution Perspective," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
- Hao Lv & Beibei Shi & Nan Li & Rong Kang, 2022. "Intelligent Manufacturing and Carbon Emissions Reduction: Evidence from the Use of Industrial Robots in China," IJERPH, MDPI, vol. 19(23), pages 1-20, November.
- Yang Shen & Zhihong Yang, 2023. "Chasing Green: The Synergistic Effect of Industrial Intelligence on Pollution Control and Carbon Reduction and Its Mechanisms," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Alonso, Cristian & Berg, Andrew & Kothari, Siddharth & Papageorgiou, Chris & Rehman, Sidra, 2022.
"Will the AI revolution cause a great divergence?,"
Journal of Monetary Economics, Elsevier, vol. 127(C), pages 18-37.
- Cristian Alonso & Mr. Andrew Berg & Siddharth Kothari & Mr. Chris Papageorgiou & Sidra Rehman, 2020. "Will the AI Revolution Cause a Great Divergence?," IMF Working Papers 2020/184, International Monetary Fund.
- Henrik Schwabe & Fulvio Castellacci, 2020.
"Automation, workers’ skills and job satisfaction,"
PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
- Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," Working Papers on Innovation Studies 20200526, Centre for Technology, Innovation and Culture, University of Oslo.
- Ben Vermeulen & Jan Kesselhut & Andreas Pyka & Pier Paolo Saviotti, 2018.
"The Impact of Automation on Employment: Just the Usual Structural Change?,"
Sustainability, MDPI, vol. 10(5), pages 1-27, May.
- Ben Vermeulen & Jan Kesselhut & Andreas Pyka & Pier-Paolo Saviotti, 2018. "The impact of automation on employment: just the usual structural change?," Post-Print hal-02097471, HAL.
- HAMAGUCHI Nobuaki & KONDO Keisuke, 2018. "Regional Employment and Artificial Intelligence in Japan," Discussion papers 18032, Research Institute of Economy, Trade and Industry (RIETI).
- Zilian, Laura S. & Zilian, Stella S. & Jäger, Georg, 2021.
"Labour market polarisation revisited: evidence from Austrian vacancy data,"
Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-7.
- Laura S. Zilian & Stella S. Zilian & Georg Jäger, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-17, December.
- Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
- Heyman, Fredrik & Olsson, Martin, 2022. "Long-Run Effects of Technological Change: The Impact of Automation and Robots on Intergenerational Mobility," Working Paper Series 1451, Research Institute of Industrial Economics, revised 29 Jun 2023.
- Matthias Firgo & Peter Mayerhofer & Michael Peneder & Philipp Piribauer & Peter Reschenhofer, 2018. "Beschäftigungseffekte der Digitalisierung in den Bundesländern sowie in Stadt und Land," WIFO Studies, WIFO, number 61633, April.
- Jay Dixon & Bryan Hong & Lynn Wu, 2021. "The Robot Revolution: Managerial and Employment Consequences for Firms," Management Science, INFORMS, vol. 67(9), pages 5586-5605, September.
- Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019.
"Testing the employment and skill impact of new technologies: A survey and some methodological issues,"
MERIT Working Papers
2019-032, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
- Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019. "Testing the employment and skill impact of new technologies: A survey and some methodological issues," GLO Discussion Paper Series 397, Global Labor Organization (GLO).
- Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022.
"Tracing the evolution of service robotics: Insights from a topic modeling approach,"
Technological Forecasting and Social Change, Elsevier, vol. 174(C).
- Ott, Ingrid & Savin, Ivan & Konop, Chris, 2021. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Kiel Working Papers 2180, Kiel Institute for the World Economy (IfW Kiel).
- Cortes, Guido Matias & Salvatori, Andrea, 2019.
"Delving into the demand side: Changes in workplace specialization and job polarization,"
Labour Economics, Elsevier, vol. 57(C), pages 164-176.
- Guido Matias Cortes & Andrea Salvatori, 2016. "Delving into the Demand Side: Changes in Workplace Specialization and Job Polarization," Working Paper series 16-21, Rimini Centre for Economic Analysis.
- Cortes, Guido Matias & Salvatori, Andrea, 2016. "Delving into the Demand Side: Changes in Workplace Specialization and Job Polarization," IZA Discussion Papers 10120, Institute of Labor Economics (IZA).
- Xueyuan Gao & Hua Feng, 2023. "AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity," Sustainability, MDPI, vol. 15(11), pages 1-21, June.
- Xianpu Xu & Yuchen Song, 2023. "Is There a Conflict between Automation and Environment? Implications of Artificial Intelligence for Carbon Emissions in China," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
- Manav Raj & Robert Seamans, 2019. "Primer on artificial intelligence and robotics," Journal of Organization Design, Springer;Organizational Design Community, vol. 8(1), pages 1-14, December.
- Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021.
"Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel,"
Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
- Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial Intelligence and Energy Intensity in China’s Industrial Sector: Effect and Transmission Channel," MPRA Paper 106333, University Library of Munich, Germany.
- Martin Krzywdzinski, 2021. "Automation, digitalization, and changes in occupational structures in the automobile industry in Germany, Japan, and the United States: a brief history from the early 1990s until 2018 [Managing fle," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(3), pages 499-535.
- Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2021.
"Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics,"
GLO Discussion Paper Series
802, Global Labor Organization (GLO).
- Mauro Caselli & Andrea Fracasso & Sergio Scicchitano & Silvio Traverso & Enrico Tundis, 2021. "Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics," DEM Working Papers 2021/06, Department of Economics and Management.
- Juan F. Jimeno, 2019. "Fewer babies and more robots: economic growth in a new era of demographic and technological changes," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 93-114, June.
- M. Battisti & M. Del Gatto & A. F. Gravina & C. F. Parmeter, 2021. "Robots versus labor skills: a complementarity/substitutability analysis," Working Paper CRENoS 202104, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
More about this item
Keywords
artificial intelligence; carbon emission; heterogeneity; mechanism;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5730-:d:882223. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.