Exploring the Impact of the Digital Economy on Green Total Factor Productivity—Evidence from Chinese Cities
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
- Canh, Nguyen Phuc & Thanh, Su Dinh, 2020. "Financial development and the shadow economy: A multi-dimensional analysis," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 37-54.
- Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1, June.
- Jie Huang & Yixin Shen & Jianjun Chen & Ying Zhou, 2022. "Regional Digital Economy Development and Enterprise Productivity: A Study of the Chinese Yangtze River Delta," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 118-137, November.
- 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.
- Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
- Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
- Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
- Du, Minzhe & Wu, Fenger & Ye, Danfeng & Zhao, Yating & Liao, Liping, 2023. "Exploring the effects of energy quota trading policy on carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 124(C).
- Xie, Mengmeng & Ding, Lin & Xia, Yan & Guo, Jianfeng & Pan, Jiaofeng & Wang, Huijuan, 2021. "Does artificial intelligence affect the pattern of skill demand? Evidence from Chinese manufacturing firms," Economic Modelling, Elsevier, vol. 96(C), pages 295-309.
- Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
- 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.
- Nambisan, Satish & Wright, Mike & Feldman, Maryann, 2019. "The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes," Research Policy, Elsevier, vol. 48(8), pages 1-1.
- Jianfeng Guo & Kai Zhang & Kecheng Liu, 2022. "Exploring the Mechanism of the Impact of Green Finance and Digital Economy on China’s Green Total Factor Productivity," IJERPH, MDPI, vol. 19(23), pages 1-18, December.
- Byung M. Jeon & Robin C. Sickles, 2004. "The role of environmental factors in growth accounting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 567-591.
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.- 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).
- Erik Brynjolfsson & Xiang Hui & Meng Liu, 2019.
"Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform,"
Management Science, INFORMS, vol. 65(12), pages 5449-5460, December.
- Erik Brynjolfsson & Xiang Hui & Meng Liu, 2018. "Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform," NBER Working Papers 24917, National Bureau of Economic Research, Inc.
- Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
- Sasaki, Hiroaki & Hagiwara, Takefumi & Pham, Huong & Fukatani, Noriki & Ogawa, Shogo & Okahara, Naoto, 2021. "How Does Automation Affect Economic Growth and Income Distribution in a Two-Class Economy?," MPRA Paper 106481, University Library of Munich, Germany.
- Elizabeth Fisher & Michael A. Flynn & Preethi Pratap & Jay A. Vietas, 2023. "Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review," IJERPH, MDPI, vol. 20(13), pages 1-28, June.
- 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.
- Colombo, Emilio & Mercorio, Fabio & Mezzanzanica, Mario, 2019.
"AI meets labor market: Exploring the link between automation and skills,"
Information Economics and Policy, Elsevier, vol. 47(C), pages 27-37.
- Emilio Colombo & Fabio Mercorio & Mario Mezzanzanica, 2018. "AI meets labor market: exploring the link between automation and skills," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis1802, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
- Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
- Alejandro Micco, 2019. "The Impact of Automation in Developed Countries," Working Papers wp480, University of Chile, Department of Economics.
- Hidalgo, Camila & Micco, Alejandro, 2024. "Computerization, offshoring and trade: The effect on developing countries," World Development, Elsevier, vol. 180(C).
- Belitski, Maksim & Korosteleva, Julia & Piscitello, Lucia, 2023. "Digital affordances and entrepreneurial dynamics: New evidence from European regions," Technovation, Elsevier, vol. 119(C).
- Ana L. ABELIANSKY & Eda ALGUR & David E. BLOOM & Klaus PRETTNER, 2020. "The future of work: Meeting the global challenges of demographic change and automation," International Labour Review, International Labour Organization, vol. 159(3), pages 285-306, September.
- Kexu Wu & Zhiwei Tang & Longpeng Zhang, 2022. "Population Aging, Industrial Intelligence and Export Technology Complexity," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
- Cheng, Can & Luo, Jiayu & Zhu, Chun & Zhang, Shangfeng, 2024. "Artificial intelligence and the skill premium: A numerical analysis of theoretical models," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
- Egana del Sol, Pablo, 2020. "The Future of Work in Developing Economies: What can we learn from the South?," GLO Discussion Paper Series 483, Global Labor Organization (GLO).
- 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.
- Martin Obschonka & David B. Audretsch, 2020. "Artificial intelligence and big data in entrepreneurship: a new era has begun," Small Business Economics, Springer, vol. 55(3), pages 529-539, October.
- Ghimire, Ramesh & Skinner, Jim & Carnathan, Mike, 2020. "Who perceived automation as a threat to their jobs in metro Atlanta: Results from the 2019 Metro Atlanta Speaks survey," Technology in Society, Elsevier, vol. 63(C).
- Dou, Bin & Guo, SongLin & Chang, XiaoChen & Wang, Yong, 2023. "Corporate digital transformation and labor structure upgrading," International Review of Financial Analysis, Elsevier, vol. 90(C).
- Daisuke Miyakawa & Kohei Shintani, 2020. "Disagreement between Human and Machine Predictions," IMES Discussion Paper Series 20-E-11, Institute for Monetary and Economic Studies, Bank of Japan.
More about this item
Keywords
digital economy; innovation; green technologies; green total factor productivity;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:jsusta:v:16:y:2024:i:7:p:2734-:d:1364228. 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.