The energy saving effects of digital infrastructure construction: Empirical evidence from Chinese industry
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DOI: 10.1016/j.energy.2024.130778
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- Jiangfeng Hu & Haoming Shi & Qinghua Huang & Yalan Luo & Yamei Li, 2020. "The Impacts of Freight Trade on Carbon Emission Efficiency: Evidence from the Countries along the “Belt and Road”," Complexity, Hindawi, vol. 2020, pages 1-15, December.
- Shao, Jun & Wang, Lianghu, 2023. "Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," Energy, Elsevier, vol. 262(PB).
- Zhou, Sheng & Xu, Zhiwei, 2022. "Energy efficiency assessment of RCEP member states: A three-stage slack based measurement DEA with undesirable outputs," Energy, Elsevier, vol. 253(C).
- Lei Fan & Yunyun Zhang & Meilin Jin & Qiang Ma & Jing Zhao, 2022. "Does New Digital Infrastructure Promote the Transformation of the Energy Structure? The Perspective of China’s Energy Industry Chain," Energies, MDPI, vol. 15(23), pages 1-18, November.
- Ancillai, Chiara & Sabatini, Andrea & Gatti, Marco & Perna, Andrea, 2023. "Digital technology and business model innovation: A systematic literature review and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
- Xu Xu & Alison Watts & Markum Reed, 2019. "Does access to internet promote innovation? A look at the U.S. broadband industry," Growth and Change, Wiley Blackwell, vol. 50(4), pages 1423-1440, December.
- Destek, Mehmet & Sinha, Avik, 2020. "Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic Co-operation and development countries," MPRA Paper 104246, University Library of Munich, Germany, revised 2020.
- Crompton, Paul & Wu, Yanrui, 2005.
"Energy consumption in China: past trends and future directions,"
Energy Economics, Elsevier, vol. 27(1), pages 195-208, January.
- Paul Crompton & Yanrui Wu, 2004. "Energy Consumption in China: Past Trends and Future Directions," Economics Discussion / Working Papers 04-22, The University of Western Australia, Department of Economics.
- Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
- Bertschek, Irene & Cerquera, Daniel & Klein, Gordon J., 2011.
"More bits - more bucks? Measuring the impact of broadband internet on firm performance,"
ZEW Discussion Papers
11-032, ZEW - Leibniz Centre for European Economic Research.
- Bertschek, Irene & Cerquera, Daniel & Klein, Gordon J., 2013. "More bits - more bucks? Measuring the impact of broadband internet on firm performance," DICE Discussion Papers 86, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
- Wang, Lianghu & Shao, Jun, 2023. "Digital economy, entrepreneurship and energy efficiency," Energy, Elsevier, vol. 269(C).
- Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2019. "Institutional quality, green innovation and energy efficiency," Energy Policy, Elsevier, vol. 135(C).
- 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.
- Bent Erik Bakken, 2019. "Energy transition dynamics: Does participatory modelling contribute to alignment among differing future world views?," Systems Research and Behavioral Science, Wiley Blackwell, vol. 36(2), pages 184-196, March.
- He, Yong & Liao, Nuo & Lin, Kunrong, 2021. "Can China's industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach," Energy Policy, Elsevier, vol. 149(C).
- Zhang, Weike & Fan, Hongxia & Zhao, Qiwei, 2023. "Seeing green: How does digital infrastructure affect carbon emission intensity?," Energy Economics, Elsevier, vol. 127(PB).
- Tian, Xiaohan & Lu, Haiyong, 2023. "Digital infrastructure and cross-regional collaborative innovation in enterprises," Finance Research Letters, Elsevier, vol. 58(PC).
- Hansen, Bruce E., 1999.
"Threshold effects in non-dynamic panels: Estimation, testing, and inference,"
Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
- Bruce E. Hansen, 1997. "Threshold effects in non-dynamic panels: Estimation, testing and inference," Boston College Working Papers in Economics 365, Boston College Department of Economics.
- Tom Doan, "undated". "RATS programs to replicate Hansen's example of threshold break in panel data," Statistical Software Components RTZ00088, Boston College Department of Economics.
- Tom Doan, "undated". "PANELTHRESH: RATS procedure to analyze up to two threshold breaks in a fixed effects panel model," Statistical Software Components RTS00152, Boston College Department of Economics.
- 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.
- Qu, Chenyao & Shao, Jun & Shi, Zhenkai, 2020. "Does financial agglomeration promote the increase of energy efficiency in China?," Energy Policy, Elsevier, vol. 146(C).
- Yu, Chenyang & Tan, Yuanfang & Zhou, Yu & Zang, Chuanxiang & Tu, Chenglin, 2022. "Can functional urban specialization improve industrial energy efficiency? Empirical evidence from China," Energy, Elsevier, vol. 261(PA).
- Jonas Hjort & Jonas Poulsen, 2019.
"The Arrival of Fast Internet and Employment in Africa,"
American Economic Review, American Economic Association, vol. 109(3), pages 1032-1079, March.
- Jonas Hjort & Jonas Poulsen, 2017. "The Arrival of Fast Internet and Employment in Africa," NBER Working Papers 23582, National Bureau of Economic Research, Inc.
- Guo, Bingnan & Wang, Yu & Zhang, Hao & Liang, Chunyan & Feng, Yu & Hu, Feng, 2023. "Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities," Economic Modelling, Elsevier, vol. 120(C).
- Yi, Ming & Liu, Yafen & Sheng, Mingyue Selena & Wen, Le, 2022. "Effects of digital economy on carbon emission reduction: New evidence from China," Energy Policy, Elsevier, vol. 171(C).
- Yuan, Shengjun & Musibau, Hammed Oluwaseyi & Genç, Sema Yılmaz & Shaheen, Riffat & Ameen, Anam & Tan, Zhixiong, 2021. "Digitalization of economy is the key factor behind fourth industrial revolution: How G7 countries are overcoming with the financing issues?," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
- Li, Ming-Jia & Tao, Wen-Quan, 2017. "Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry," Applied Energy, Elsevier, vol. 187(C), pages 203-215.
- Qing Wang & Xingyu Xia & Sai Lan & Miao Li, 2023. "Rural Digital Infrastructure and Labor Market : Evidence from Universal Telecommunication Service," Post-Print hal-04348221, HAL.
- 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.
- Herrerias, M.J. & Cuadros, A. & Orts, V., 2013. "Energy intensity and investment ownership across Chinese provinces," Energy Economics, Elsevier, vol. 36(C), pages 286-298.
- Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
- Menggen Chen & Songyangyang Zhao & Jiawen Wang, 2023. "The Impact of the Digital Economy on Regional Carbon Emissions: Evidence from China," Sustainability, MDPI, vol. 15(20), pages 1-34, October.
- Ndubuisi, Gideon & Otioma, Chuks & Tetteh, Godsway Korku, 2021. "Digital infrastructure and employment in services: Evidence from Sub-Saharan African countries," Telecommunications Policy, Elsevier, vol. 45(8).
- Gorus, Muhammed Sehid & Karagol, Erdal Tanas, 2022. "Reactions of energy intensity, energy efficiency, and activity indexes to income and energy price changes: The panel data evidence from OECD countries," Energy, Elsevier, vol. 254(PA).
- Fan, Meiting & Li, Mengxu & Liu, Jianghua & Shao, Shuai, 2022. "Is high natural resource dependence doomed to low carbon emission efficiency? Evidence from 283 cities in China," Energy Economics, Elsevier, vol. 115(C).
- Zhou, Qianling & Cui, Xiaoyong & Ni, Hongfu & Gong, Liutang, 2022. "The impact of environmental regulation policy on firms' energy-saving behavior: A quasi-natural experiment based on China's low-carbon pilot city policy," Resources Policy, Elsevier, vol. 76(C).
- Hao, Yu & Li, Ying & Guo, Yunxia & Chai, Jingxia & Yang, Chuxiao & Wu, Haitao, 2022. "Digitalization and electricity consumption: Does internet development contribute to the reduction in electricity intensity in China?," Energy Policy, Elsevier, vol. 164(C).
- Zhang, Wei & Wang, Nan, 2021. "Decomposition of energy intensity in Chinese industries using an extended LMDI method of production element endowment," Energy, Elsevier, vol. 221(C).
- Che, Chou Ming, 2013. "Panel threshold analysis of Taiwan's outbound visitors," Economic Modelling, Elsevier, vol. 33(C), pages 787-793.
- Qing Wang & Xingyu Xia & Sai Lan & Miao Li, 2023. "Rural digital infrastructure and labor market: Evidence from universal telecommunication service," Asian Economic Journal, East Asian Economic Association, vol. 37(3), pages 293-325, September.
- Hong, Junjie & Shi, Fangyuan & Zheng, Yuhan, 2023. "Does network infrastructure construction reduce energy intensity? Based on the “Broadband China” strategy," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
- Shi, Guang-Ming & Bi, Jun & Wang, Jin-Nan, 2010. "Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs," Energy Policy, Elsevier, vol. 38(10), pages 6172-6179, October.
- Bertoldi, Paolo & Mosconi, Rocco, 2020. "Do energy efficiency policies save energy? A new approach based on energy policy indicators (in the EU Member States)," Energy Policy, Elsevier, vol. 139(C).
- Haider, Salman & Mishra, Prajna Paramita, 2021. "Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis," Energy Economics, Elsevier, vol. 95(C).
- Karimu, Amin & Brännlund, Runar & Lundgren, Tommy & Söderholm, Patrik, 2017.
"Energy intensity and convergence in Swedish industry: A combined econometric and decomposition analysis,"
Energy Economics, Elsevier, vol. 62(C), pages 347-356.
- Karimu, Amin & Brännlund, Runar & Lundgren, Tommy & Söderholm, Patrik, 2016. "Energy Intensity and Convergence in Swedish Industry: A Combined Econometric and Decomposition Analysis," CERE Working Papers 2016:8, CERE - the Center for Environmental and Resource Economics.
- Ruiyang Ma & Boqiang Lin, 2023. "Digital infrastructure construction drives green economic transformation: evidence from Chinese cities," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
- Kneller, Richard & Manderson, Edward, 2012. "Environmental regulations and innovation activity in UK manufacturing industries," Resource and Energy Economics, Elsevier, vol. 34(2), pages 211-235.
- Ouyang, Xiaoling & Chen, Jiaqi & Du, Kerui, 2021. "Energy efficiency performance of the industrial sector: From the perspective of technological gap in different regions in China," Energy, Elsevier, vol. 214(C).
- Jie Wu & Beibei Xiong & Qingxian An & Jiasen Sun & Huaqing Wu, 2017. "Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs," Annals of Operations Research, Springer, vol. 255(1), pages 257-276, August.
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Keywords
Digital infrastructure construction; Industrial energy efficiency; Green technology innovation; Industrial structure; Spatial correlation network;All these keywords.
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