Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China's listed companies
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DOI: 10.1016/j.resourpol.2023.103324
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- Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
- Nicholas Bloom & Luis Garicano & Raffaella Sadun & John Van Reenen, 2014.
"The Distinct Effects of Information Technology and Communication Technology on Firm Organization,"
Management Science, INFORMS, vol. 60(12), pages 2859-2885, December.
- Nick Bloom & Luis Garicano & Raffaella Sadun & John Van Reenen, 2009. "The Distinct Effects of Information Technology and Communication Technology on Firm Organization," CEP Discussion Papers dp0927, Centre for Economic Performance, LSE.
- Nicholas Bloom & Luis Garicano & Raffaella Sadun & John Van Reenen, 2009. "The distinct effects of Information Technology and Communication Technology on firm organization," NBER Working Papers 14975, National Bureau of Economic Research, Inc.
- Bloom, Nick & Garicano, Luis & Sadun, Raffaella & Van Reenen, John, 2009. "The distinct effects of information technology and communication technology on firm organization," LSE Research Online Documents on Economics 25477, London School of Economics and Political Science, LSE Library.
- Van Reenen, John & Bloom, Nicholas & Garicano, Luis & Sadun, Raffaella, 2013. "The distinct effects of Information Technology and Communication Technology on firm organization," CEPR Discussion Papers 9762, C.E.P.R. Discussion Papers.
- Ying Wang & Jing Zhao, 2015. "Hedge Funds and Corporate Innovation," Financial Management, Financial Management Association International, vol. 44(2), pages 353-385, June.
- Rodrigo Montes & Wilfried Sand-Zantman & Tommaso Valletti, 2019.
"The Value of Personal Information in Online Markets with Endogenous Privacy,"
Management Science, INFORMS, vol. 65(3), pages 1342-1362, March.
- Montes, Rodrigo & Sand-Zantman, Wilfried & Valletti, Tommaso M., 2015. "The value of personal information in online markets with endogenous privacy," TSE Working Papers 15-583, Toulouse School of Economics (TSE), revised May 2017.
- Rodrigo Montes & Wilfried Sand-Zantman & Tommaso M. Valletti, 2019. "The value of personal information in online markets with endogenous privacy," Post-Print hal-03270184, HAL.
- Xiaochun Zeng & Suicheng Li & Zahid Yousaf, 2022. "Artificial Intelligence Adoption and Digital Innovation: How Does Digital Resilience Act as a Mediator and Training Protocols as a Moderator?," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
- Rong, Zhao & Wu, Xiaokai & Boeing, Philipp, 2017.
"The effect of institutional ownership on firm innovation: Evidence from Chinese listed firms,"
Research Policy, Elsevier, vol. 46(9), pages 1533-1551.
- Rong, Zhao & Wu, Xiaokai & Boeing, Philipp, 2017. "The effect of institutional ownership on firm innovation: Evidence from Chinese listed firms," ZEW Discussion Papers 17-005, ZEW - Leibniz Centre for European Economic Research.
- 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).
- Song, Malin & Ai, Hongshan & Li, Xie, 2015. "Political connections, financing constraints, and the optimization of innovation efficiency among China's private enterprises," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 290-299.
- Matt Taddy, 2018. "The Technological Elements of Artificial Intelligence," NBER Working Papers 24301, 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.
- Sunder, Jayanthi & Sunder, Shyam V. & Zhang, Jingjing, 2017. "Pilot CEOs and corporate innovation," Journal of Financial Economics, Elsevier, vol. 123(1), pages 209-224.
- Matt Taddy, 2018. "The Technological Elements of Artificial Intelligence," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 61-87, National Bureau of Economic Research, Inc.
- Frederick L. Bereskin & Terry L. Campbell II & Po-Hsuan Hsu, 2016. "Corporate Philanthropy, Research Networks, and Collaborative Innovation," Financial Management, Financial Management Association International, vol. 45(1), pages 175-206, March.
- Min, Sujin & Kim, Juseong & Sawng, Yeong-Wha, 2020. "The effect of innovation network size and public R&D investment on regional innovation efficiency," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
- Zach Y. Brown & Alexander MacKay, 2023.
"Competition in Pricing Algorithms,"
American Economic Journal: Microeconomics, American Economic Association, vol. 15(2), pages 109-156, May.
- Zach Y. Brown & Alexander MacKay, 2021. "Competition in Pricing Algorithms," NBER Working Papers 28860, National Bureau of Economic Research, Inc.
- Hsu, Po-Hsuan & Tian, Xuan & Xu, Yan, 2014. "Financial development and innovation: Cross-country evidence," Journal of Financial Economics, Elsevier, vol. 112(1), pages 116-135.
- 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).
- Komikado, Hiroshi & Morikawa, So & Bhatt, Ayushman & Kato, Hironori, 2021. "High-speed rail, inter-regional accessibility, and regional innovation: Evidence from Japan," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
- Chen, Xihui Haviour & Tee, Kienpin & Chang, Victor, 2022. "Accelerating Innovation Efficiency through Agile Leadership: The CEO Network Effects in China," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
- 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.
- Azi Ben-Rephael & Zhi Da & Ryan D. Israelsen, 2017. "It Depends on Where You Search: Institutional Investor Attention and Underreaction to News," The Review of Financial Studies, Society for Financial Studies, vol. 30(9), pages 3009-3047.
- Walheer, Barnabé & He, Ming, 2020.
"Technical efficiency and technology gap of the manufacturing industry in China: Does firm ownership matter?,"
World Development, Elsevier, vol. 127(C).
- He, Ming & Walheer, Barnabé, 2018. "Technical efficiency and technology gap of the manufacturing industry in China: Does firm ownership matter?," RIEI Working Papers 2018-05, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
- Xavier Giroud & Holger M. Mueller, 2011. "Corporate Governance, Product Market Competition, and Equity Prices," Journal of Finance, American Finance Association, vol. 66(2), pages 563-600, April.
- Haschka, Rouven E. & Herwartz, Helmut, 2020. "Innovation efficiency in European high-tech industries: Evidence from a Bayesian stochastic frontier approach," Research Policy, Elsevier, vol. 49(8).
- Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation," NBER Working Papers 24449, National Bureau of Economic Research, Inc.
- Giacomo Damioli & Vincent Van Roy & Daniel Vertesy, 2021. "The impact of artificial intelligence on labor productivity," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 1-25, March.
- Henning Kroll & Kou Kou, 2019. "Innovation output and state ownership: empirical evidence from China’s listed firms," Industry and Innovation, Taylor & Francis Journals, vol. 26(2), pages 176-198, February.
- Frederik von Briel & Per Davidsson & Jan Recker, 2018. "Digital Technologies as External Enablers of New Venture Creation in the IT Hardware Sector," Entrepreneurship Theory and Practice, , vol. 42(1), pages 47-69, January.
- Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 115-146, National Bureau of Economic Research, Inc.
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- Li, Chengming & Wang, Yilin & Zhou, Zhihan & Wang, Zeyu & Mardani, Abbas, 2023. "Digital finance and enterprise financing constraints: Structural characteristics and mechanism identification," Journal of Business Research, Elsevier, vol. 165(C).
- Wang, Zongrun & Cao, Xuxin & Ren, Xiaohang & Taghizadeh-Hesary, Farhad, 2024. "Can digital transformation affect coal utilization efficiency in China? Evidence from spatial econometric analyses," Resources Policy, Elsevier, vol. 91(C).
- Gao, Shiya & Guan, Xin & Tang, Run & Zhu, Junfan & Wang, Zeyu & Xu, Wei, 2023. "Resource curse, economic efficiency and green recovery based on three-subject framework," Resources Policy, Elsevier, vol. 85(PB).
- Sun, Jingjing & Zhai, Chenchen & Dong, Xiaoqi & Li, Chengming & Wang, Zeyu & Li, Dandan & Sun, Yongping, 2023. "How does digital infrastructure break the resource curse of cities? Evidence from a quasi-natural experiment in China," Resources Policy, Elsevier, vol. 86(PA).
- Lin, Weiwen & Qin, Shan & Zhou, Xinzhu & Guan, Xin & Zeng, Yanzhao & Wang, Zeyu & Shen, Yaohan, 2024. "Three-dimensional quantitative mineral prediction from convolutional neural network model in developing intelligent cleaning technology," Resources Policy, Elsevier, vol. 88(C).
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- Dongwei Li & Jing Xiao & Fangfang Yang, 2024. "Artificial Intelligence and Enterprise Green Innovation: Intrinsic Mechanisms and Heterogeneous Effects," Sustainability, MDPI, vol. 16(21), pages 1-18, October.
- 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).
- Shuhui Yu & Xin Guan & Junfan Zhu & Zeyu Wang & Youting Jian & Weijia Wang & Ya Yang, 2023. "Artificial Intelligence and Urban Green Space Facilities Optimization Using the LSTM Model: Evidence from China," Sustainability, MDPI, vol. 15(11), pages 1-14, June.
- Ruiyu Hu & Zemenghong Bao & Zhisen Lin & Kun Lv, 2024. "The Innovative Construction of Provinces, Regional Artificial Intelligence Development, and the Resilience of Regional Innovation Ecosystems: Quasi-Natural Experiments Based on Spatial Difference-in-D," Sustainability, MDPI, vol. 16(18), pages 1-37, September.
- Dai, Yuhui & Hu, Shaobo & Zhai, Zhenkai, 2024. "Policy role, information disclosure, and enterprise innovation," Finance Research Letters, Elsevier, vol. 63(C).
- Wenjie Li & Guanyu Guo & Huangying Gu & Shuhao Lai & Yuanjie Duan & Chengming Li, 2024. "Digital Economy as a Buffer: Alleviating the Adverse Effects of Land Resource Mismatch on Food Security," Land, MDPI, vol. 13(11), pages 1-21, October.
- Yin, Lei & Du, Shanxing & Chen, Ge, 2024. "The influence of the bank–firm relationship on enterprises’ technological innovation efficiency: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1583-1600.
- Zhang, Weike & Zeng, Ming, 2024. "Is artificial intelligence a curse or a blessing for enterprise energy intensity? Evidence from China," Energy Economics, Elsevier, vol. 134(C).
- Zhang, Jingshen & Zhou, Xinzhu & Bai, Rong & Dong, Haoyang & Tang, Tingting & Wang, Zeyu & Yang, Ya & Huang, Feng, 2024. "Impact of environmental supervision reform on green innovation in mineral enterprises," Resources Policy, Elsevier, vol. 88(C).
- Jin, Ting & Liang, Feiyan & Dong, Xiaoqi & Cao, Xiaojuan, 2023. "Research on land resource management integrated with support vector machine —Based on the perspective of green innovation," Resources Policy, Elsevier, vol. 86(PB).
- Zhao, Congyu & Dong, Kangyin & Wang, Kun & Nepal, Rabindra, 2024. "How does artificial intelligence promote renewable energy development? The role of climate finance," Energy Economics, Elsevier, vol. 133(C).
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More about this item
Keywords
Artificial intelligence; Innovation efficiency; Resource reallocation; Market competition; Organizational structure;All these keywords.
JEL classification:
- D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
- G30 - Financial Economics - - Corporate Finance and Governance - - - General
- L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
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