The impact of digital-real integration on energy productivity under a multi-governance framework: The mediating role of AI and embodied technological progress
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DOI: 10.1016/j.eneco.2024.108167
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- Xin, Yongrong & Song, Hang & Shen, Zhiyang & Wang, Jiangquan, 2023.
"Measurement of the integration level between the digital economy and industry and its impact on energy consumption,"
Energy Economics, Elsevier, vol. 126(C).
- Yongrong Xin & Hang Song & Zhiyang Shen & Jiangquan Wang, 2023. "Measurement of the integration level between the digital economy and industry and its impact on energy consumption," Post-Print hal-04274839, HAL.
- Li, Lan-Bing & Hu, Jin-Li, 2012. "Ecological total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 46(C), pages 216-224.
- Chang, Tzu-Pu & Hu, Jin-Li, 2010. "Total-factor energy productivity growth, technical progress, and efficiency change: An empirical study of China," Applied Energy, Elsevier, vol. 87(10), pages 3262-3270, October.
- Song, Malin & Pan, Heting & Shen, Zhiyang & Tamayo-Verleene, Kristine, 2024.
"Assessing the influence of artificial intelligence on the energy efficiency for sustainable ecological products value,"
Energy Economics, Elsevier, vol. 131(C).
- Malin Song & Heting Pan & Zhiyang Shen & Kristine Tamayo-Verleene, 2024. "Assessing the influence of artificial intelligence on the energy efficiency for sustainable ecological products value," Post-Print hal-04552684, HAL.
- Sun, Guanglin & Fang, Jiming & Li, Jinning & Wang, Xiaolin, 2024. "Research on the impact of the integration of digital economy and real economy on enterprise green innovation," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
- Karvonen, Matti & Kässi, Tuomo, 2013. "Patent citations as a tool for analysing the early stages of convergence," Technological Forecasting and Social Change, Elsevier, vol. 80(6), pages 1094-1107.
- Nathan Nunn & Nancy Qian, 2014.
"US Food Aid and Civil Conflict,"
American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
- Qian, Nancy & Nunn, Nathan, 2014. "US Food Aid and Civil Conflict," Scholarly Articles 30410811, Harvard University Department of Economics.
- Zhiqiang Liu & Yaping Zhao & Caiyun Guo & Ziwei Xin, 2024. "Research on the Impact of Digital-Real Integration on Logistics Industrial Transformation and Upgrading under Green Economy," Sustainability, MDPI, vol. 16(14), pages 1-26, July.
- Binlei Gong, 2020.
"New Growth Accounting,"
American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 641-661, March.
- Gong, Binlei, 2020. "New Growth Accounting," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304348, Agricultural and Applied Economics Association.
- 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.
- Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
- Katja Mann & Lukas Püttmann, 2023. "Benign Effects of Automation: New Evidence from Patent Texts," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 562-579, May.
- Pastor, Jesús T. & Asmild, Mette & Lovell, C.A. Knox, 2011. "The biennial Malmquist productivity change index," Socio-Economic Planning Sciences, Elsevier, vol. 45(1), pages 10-15, March.
- Liu, Min & Liu, Hong-Fei & Lee, Chien-Chiang, 2024. "An empirical study on the response of the energy market to the shock from the artificial intelligence industry," Energy, Elsevier, vol. 288(C).
- Huijie Yan, 2015. "Provincial energy intensity in China: The role of urbanization," Post-Print hal-01457329, HAL.
- Xu, Qiong & Zhong, Meirui & Li, Xin, 2022. "How does digitalization affect energy? International evidence," Energy Economics, Elsevier, vol. 107(C).
- Erik Brynjolfsson & Kristina McElheran, 2016. "The Rapid Adoption of Data-Driven Decision-Making," American Economic Review, American Economic Association, vol. 106(5), pages 133-139, May.
- María Mar Miralles-Quirós & José Luis Miralles-Quirós & Luis Miguel Valente Gonçalves, 2018. "The Value Relevance of Environmental, Social, and Governance Performance: The Brazilian Case," Sustainability, MDPI, vol. 10(3), pages 1-15, February.
- Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
- Jeffry M. Netter & William L. Megginson, 2001. "From State to Market: A Survey of Empirical Studies on Privatization," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 321-389, June.
- Jin, Gang & Yu, Binbin & Shen, Kunrong, 2021. "Domestic trade and energy productivity in China: An inverted U-shaped relationship," Energy Economics, Elsevier, vol. 97(C).
- Pargal, Sheoli & Wheeler, David, 1996. "Informal Regulation of Industrial Pollution in Developing Countries: Evidence from Indonesia," Journal of Political Economy, University of Chicago Press, vol. 104(6), pages 1314-1327, December.
- Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
- Kim, Tae San & Sohn, So Young, 2020. "Machine-learning-based deep semantic analysis approach for forecasting new technology convergence," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
- Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
- Romer, Paul M, 1990.
"Endogenous Technological Change,"
Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
- Paul Romer, 1989. "Endogenous Technological Change," NBER Working Papers 3210, National Bureau of Economic Research, Inc.
- Paul M Romer, 1999. "Endogenous Technological Change," Levine's Working Paper Archive 2135, David K. Levine.
- Kenneth G Huang & Jiatao Li, 2019. "Adopting knowledge from reverse innovations? Transnational patents and signaling from an emerging economy," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(7), pages 1078-1102, September.
- Sun-Youn Shin & Han-Gyun Woo, 2022. "Energy Consumption Forecasting in Korea Using Machine Learning Algorithms," Energies, MDPI, vol. 15(13), pages 1-20, July.
- Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
- Lee, Chien-Chiang & Yan, Jingyang, 2024. "Will artificial intelligence make energy cleaner? Evidence of nonlinearity," Applied Energy, Elsevier, vol. 363(C).
- Manuel Trajtenberg & Adam B. Jaffe & Michael S. Fogarty, 2000. "Knowledge Spillovers and Patent Citations: Evidence from a Survey of Inventors," American Economic Review, American Economic Association, vol. 90(2), pages 215-218, May.
- Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
- Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
- Daron Acemoglu, 2002.
"Directed Technical Change,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
- Daron Acemoglu, 2001. "Directed Technical Change," NBER Working Papers 8287, National Bureau of Economic Research, Inc.
- Sun, Chuanwang & Xu, Mengjie & Wang, Bo, 2024. "Deep learning: Spatiotemporal impact of digital economy on energy productivity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
- Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
- Jie Cai & Nan Li, 2019.
"Growth Through Inter-sectoral Knowledge Linkages,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(5), pages 1827-1866.
- Cai, Jie & Li, Nan, 2012. "Growth through Inter-sectoral Knowledge Linkages," MPRA Paper 102119, University Library of Munich, Germany.
- 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.
- 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.
- Li, Ke & Lin, Boqiang, 2014. "The nonlinear impacts of industrial structure on China's energy intensity," Energy, Elsevier, vol. 69(C), pages 258-265.
- Daron Acemoglu & Ufuk Akcigit & Murat Alp Celik, 2022. "Radical and Incremental Innovation: The Roles of Firms, Managers, and Innovators," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(3), pages 199-249, July.
- Khoshroo, Alireza & Izadikhah, Mohammad & Emrouznejad, Ali, 2022. "Total factor energy productivity considering undesirable pollutant outputs: A new double frontier based malmquist productivity index," Energy, Elsevier, vol. 258(C).
- Lin, Boqiang & Huang, Chenchen, 2023. "Nonlinear relationship between digitization and energy efficiency: Evidence from transnational panel data," Energy, Elsevier, vol. 276(C).
- Cole, Matthew A. & Elliott, Robert J.R. & Wu, Shanshan, 2008. "Industrial activity and the environment in China: An industry-level analysis," China Economic Review, Elsevier, vol. 19(3), pages 393-408, September.
- Lee, Chien-Chiang & Yan, Jingyang & Wang, Fuhao, 2024. "Impact of population aging on food security in the context of artificial intelligence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
- Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
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Keywords
; ; ; ; ;JEL classification:
- O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
- L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
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