Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities
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DOI: 10.1016/j.apenergy.2024.123245
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- Rubashkina, Yana & Galeotti, Marzio & Verdolini, Elena, 2015.
"Environmental regulation and competitiveness: Empirical evidence on the Porter Hypothesis from European manufacturing sectors,"
Energy Policy, Elsevier, vol. 83(C), pages 288-300.
- Rubashkina, Yana & Galeotti, Marzio & Verdolini, Elena, 2014. "Environmental Regulation and Competitiveness: Empirical Evidence on the Porter Hypothesis from European Manufacturing Sectors," Climate Change and Sustainable Development 186512, Fondazione Eni Enrico Mattei (FEEM).
- Yana Rubashkina & Marzio Galeotti & Elena Verdolini, 2014. "Environmental Regulation and Competitiveness: Empirical Evidence on the Porter Hypothesis from European Manufacturing Sectors," Working Papers 2014.80, Fondazione Eni Enrico Mattei.
- Yana Rubashkina & Marzio Galeotti & Elena Verdolini, 2014. "Environmental Regulation and Competitiveness: Empirical Evidence on the Porter Hypothesis from European Manufacturing Sectors," IEFE Working Papers 69, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
- Liu, Jun & Liu, Liang & Qian, Yu & Song, Shunfeng, 2022. "The effect of artificial intelligence on carbon intensity: Evidence from China's industrial sector," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
- Cheng, Lu & Mi, Zhifu & Sudmant, Andrew & Coffman, D'Maris, 2022. "Bigger cities better climate? Results from an analysis of urban areas in China," Energy Economics, Elsevier, vol. 107(C).
- Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
- Daron Acemoglu & Pascual Restrepo, 2018.
"Low-Skill and High-Skill Automation,"
Journal of Human Capital, University of Chicago Press, vol. 12(2), pages 204-232.
- Daron Acemoglu & Pascual Restrepo, 2017. "Low-Skill and High-Skill Automation," NBER Working Papers 24119, National Bureau of Economic Research, Inc.
- Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
- Huzhou Zhu & Bin Sang & Chunyuan Zhang & Lin Guo, 2023. "Have Industrial Robots Improved Pollution Reduction? A Theoretical Approach and Empirical Analysis," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(4), pages 153-172, July.
- Ouyang, Xiaoling & Li, Qiong & Du, Kerui, 2020. "How does environmental regulation promote technological innovations in the industrial sector? Evidence from Chinese provincial panel data," Energy Policy, Elsevier, vol. 139(C).
- Krugman, Paul, 1991.
"Increasing Returns and Economic Geography,"
Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
- Paul Krugman, 1990. "Increasing Returns and Economic Geography," NBER Working Papers 3275, National Bureau of Economic Research, Inc.
- Joseph S. Shapiro & Reed Walker, 2018.
"Why Is Pollution from US Manufacturing Declining? The Roles of Environmental Regulation, Productivity, and Trade,"
American Economic Review, American Economic Association, vol. 108(12), pages 3814-3854, December.
- Joseph S. Shapiro & Reed Walker, 2015. "Why is Pollution from U.S. Manufacturing Declining" The Roles of Environmental Regulation, Productivity, and Trade," Cowles Foundation Discussion Papers 1982R2, Cowles Foundation for Research in Economics, Yale University, revised Aug 2017.
- Joseph S. Shapiro & Reed Walker, 2015. "Why is Pollution from U.S. Manufacturing Declining" The Roles of Environmental Regulation, Productivity, and Trade," Cowles Foundation Discussion Papers 1982R3, Cowles Foundation for Research in Economics, Yale University, revised Apr 2018.
- Joseph S. Shapiro & Reed Walker, 2015. "Why is Pollution from U.S. Manufacturing Declining? The Roles of Environmental Regulation, Productivity, and Trade," Working Papers 15-03, Center for Economic Studies, U.S. Census Bureau.
- Joseph S. Shapiro & Reed Walker, 2015. "Why is Pollution from U.S. Manufacturing Declining? The Roles of Environmental Regulation, Productivity, and Trade," NBER Working Papers 20879, National Bureau of Economic Research, Inc.
- Joseph S. Shapiro & Reed Walker, 2015. "Why is Pollution from U.S. Manufacturing Declining" The Roles of Environmental Regulation, Productivity, and Trade," Cowles Foundation Discussion Papers 1982R4, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
- Ariel J. Binder & John Bound, 2019.
"The Declining Labor Market Prospects of Less-Educated Men,"
Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 163-190, Spring.
- Ariel J. Binder & John Bound, 2019. "The Declining Labor Market Prospects of Less-Educated Men," NBER Working Papers 25577, National Bureau of Economic Research, Inc.
- David H. Autor & David Dorn, 2013.
"The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market,"
American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
- David H. Autor & David Dorn, 2009. "The Growth of Low Skill Service Jobs and the Polarization of the U.S. Labor Market," NBER Working Papers 15150, National Bureau of Economic Research, Inc.
- Autor, David & Dorn, David, 2012. "The Growth of Low Skill Service Jobs and the Polarization of the U.S. Labor Market," IZA Discussion Papers 7068, Institute of Labor Economics (IZA).
- Daron Acemoglu & Pascual Restrepo, 2020.
"Robots and Jobs: Evidence from US Labor Markets,"
Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
- Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-297, Boston University - Department of Economics.
- Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," NBER Working Papers 23285, National Bureau of Economic Research, Inc.
- Haitao Wu & Ruohan Zhong & Zhen Wang & Yuanfeng Qu & Xiaodong Yang & Yu Hao, 2024. "How Does Industrial Intellectualization Affect Energy Intensity? Evidence from China," The Energy Journal, , vol. 45(2), pages 49-70, March.
- Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
- Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
- Korinek, Anton & Stiglitz, Joseph, 2021.
"Artificial Intelligence, Globalization, and Strategies for Economic Development,"
CEPR Discussion Papers
15772, C.E.P.R. Discussion Papers.
- Anton Korinek & Joseph E. Stiglitz, 2021. "Artificial Intelligence, Globalization, and Strategies for Economic Development," Working Papers Series inetwp146, Institute for New Economic Thinking.
- Anton Korinek & Joseph E. Stiglitz, 2021. "Artificial Intelligence, Globalization, and Strategies for Economic Development," NBER Working Papers 28453, National Bureau of Economic Research, Inc.
- repec:ags:aaea22:335879 is not listed on IDEAS
- Fang, Jiayu & Tang, Xue & Xie, Rui & Han, Feng, 2020. "The effect of manufacturing agglomerations on smog pollution," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 92-101.
- Wang, Ting & Zhang, Yi & Liu, Chun, 2024. "Robot adoption and employment adjustment: Firm-level evidence from China," China Economic Review, Elsevier, vol. 84(C).
- Yaya Li & Yuru Zhang & An Pan & Minchun Han & Eleonora Veglianti, 2022. "Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms," Post-Print hal-04522085, HAL.
- Du, Mengfan & Zhang, Yue-Jun, 2023. "The impact of producer services agglomeration on green economic development: Evidence from 278 Chinese cities," Energy Economics, Elsevier, vol. 124(C).
- Gan, Jiawu & Liu, Lihua & Qiao, Gang & Zhang, Qin, 2023. "The role of robot adoption in green innovation: Evidence from China," Economic Modelling, Elsevier, vol. 119(C).
- Li, Quan & Chen, Huimin & Chen, Yang & Xiao, Tong & Wang, Li, 2023. "Digital economy, financing constraints, and corporate innovation," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
- Li, Wencong & Yang, Xingquan & Yin, Xingqiang, 2024. "Digital transformation and labor upgrading," Pacific-Basin Finance Journal, Elsevier, vol. 83(C).
- Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
- Huang, Hongyun & Mbanyele, William & Fan, Shuangshuang & Zhao, Xin, 2022. "Digital financial inclusion and energy-environment performance: What can learn from China," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 342-366.
- Huang, Geng & He, Ling-Yun & Lin, Xi, 2022. "Robot adoption and energy performance: Evidence from Chinese industrial firms," Energy Economics, Elsevier, vol. 107(C).
- Haochang Yang & Faming Zhang & Yixin He, 2021. "Exploring the effect of producer services and manufacturing industrial co-agglomeration on the ecological environment pollution control in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16119-16144, November.
- Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
- Wang, Mei & Xu, Mi & Ma, Shaojun, 2021. "The effect of the spatial heterogeneity of human capital structure on regional green total factor productivity," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 427-441.
- Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
- Yang, Haochang & Li, Lianshui & Liu, Yaobin, 2022. "The effect of manufacturing intelligence on green innovation performance in China," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
- Jiang, Zhengyu & Zhang, Xinyi & Zhao, Yingzhi & Li, Chengming & Wang, Zeyu, 2023. "The impact of urban digital transformation on resource sustainability: Evidence from a quasi-natural experiment in China," Resources Policy, Elsevier, vol. 85(PA).
- Du, Zhili & Wang, Yao, 2022. "Does energy-saving and emission reduction policy affects carbon reduction performance? A quasi-experimental evidence in China," Applied Energy, Elsevier, vol. 324(C).
- Xie, Rui & Wei, Dihan & Han, Feng & Lu, Yue & Fang, Jiayu & Liu, Yu & Wang, Junfeng, 2019. "The effect of traffic density on smog pollution: Evidence from Chinese cities," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 421-427.
- Werner Antweiler & Brian R. Copeland & M. Scott Taylor, 2001.
"Is Free Trade Good for the Environment?,"
American Economic Review, American Economic Association, vol. 91(4), pages 877-908, September.
- Werner Antweiler & Brian R. Copeland & M. Scott Taylor, 1998. "Is Free Trade Good for the Environment?," NBER Working Papers 6707, National Bureau of Economic Research, Inc.
- Wang, Linhui & Wang, Hui & Cao, Zhanglu & He, Yongda & Dong, Zhiqing & Wang, Shixiang, 2022. "Can industrial intellectualization reduce carbon emissions? — Empirical evidence from the perspective of carbon total factor productivity in China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
- Li, Yaya & Zhang, Yuru & Pan, An & Han, Minchun & Veglianti, Eleonora, 2022. "Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms," Technology in Society, Elsevier, vol. 70(C).
- Guo, Qingbin & Wang, Yong & Dong, Xiaobin, 2022. "Effects of smart city construction on energy saving and CO2 emission reduction: Evidence from China," Applied Energy, Elsevier, vol. 313(C).
- Hong Cheng & Ruixue Jia & Dandan Li & Hongbin Li, 2019. "The Rise of Robots in China," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 71-88, Spring.
- Bai, Ling & Guo, Tianran & Xu, Wei & Liu, Yaobin & Kuang, Ming & Jiang, Lei, 2023. "Effects of digital economy on carbon emission intensity in Chinese cities: A life-cycle theory and the application of non-linear spatial panel smooth transition threshold model," Energy Policy, Elsevier, vol. 183(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.
- 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.
- Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
- Ma, Ruiyang & Lin, Boqiang, 2023. "Digitalization and energy-saving and emission reduction in Chinese cities: Synergy between industrialization and digitalization," Applied Energy, Elsevier, vol. 345(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).
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Keywords
Industrial intelligence; Energy-environmental performance; Technological innovation; Industrial agglomeration; Labor upgrading;All these keywords.
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