Regional Breakthrough Innovation Change Strategies, Ecological Location Suitability of High-Tech Industry Innovation Ecosystems, and Green Energy
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Sun, Huaping & Edziah, Bless Kofi & Kporsu, Anthony Kwaku & Sarkodie, Samuel Asumadu & Taghizadeh-Hesary, Farhad, 2021. "Energy efficiency: The role of technological innovation and knowledge spillover," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
- Yipeng Zhang, 2023. "The Sustainability of Regional Innovation in China: Insights from Regional Innovation Values and Their Spatial Distribution," Sustainability, MDPI, vol. 15(13), pages 1-42, June.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018.
"Double/debiased machine learning for treatment and structural parameters,"
Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2017. "Double/Debiased Machine Learning for Treatment and Structural Parameters," NBER Working Papers 23564, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers CWP28/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers 28/17, Institute for Fiscal Studies.
- Florian Noseleit, 2013.
"Entrepreneurship, structural change, and economic growth,"
Journal of Evolutionary Economics, Springer, vol. 23(4), pages 735-766, September.
- Florian Noseleit, 2011. "Entrepreneurship, Structural Change, and Economic Growth," ERSA conference papers ersa11p427, European Regional Science Association.
- Florian Noseleit, 2011. "Entrepreneurship, structural change, and economic growth," Papers in Evolutionary Economic Geography (PEEG) 1104, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2011.
- Helmut Farbmacher & Martin Huber & Lukáš Lafférs & Henrika Langen & Martin Spindler, 2022.
"Causal mediation analysis with double machine learning [Mediation analysis via potential outcomes models],"
The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 277-300.
- Farbmacher, Helmut & Huber, Martin & Langen, Henrika & Spindler, Martin, 2020. "Causal mediation analysis with double machine learning," FSES Working Papers 515, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Helmut Farbmacher & Martin Huber & Luk'av{s} Laff'ers & Henrika Langen & Martin Spindler, 2020. "Causal mediation analysis with double machine learning," Papers 2002.12710, arXiv.org, revised Feb 2021.
- Zhu, Lin & Luo, Jian & Dong, Qingli & Zhao, Yang & Wang, Yunyue & Wang, Yong, 2021. "Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
- Zhang, Shaopeng & Wang, Xiaohong, 2022. "Does innovative city construction improve the industry–university–research knowledge flow in urban China?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
- Franz Todtling & Michaela Trippl, 2007. "Knowledge links in high-technology industries: markets, networks or milieu? The case of the Vienna biotechnology cluster," International Journal of Entrepreneurship and Innovation Management, Inderscience Enterprises Ltd, vol. 7(2/3/4/5), pages 345-365.
- Zhu, Chen & Lee, Chien-Chiang, 2022. "The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
- Qiang Li & Jason F. Kovacs & Geun Hee Choi, 2021. "High-technology employment growth in China: geographic disparities in economic structure and sectoral performance," Economic Change and Restructuring, Springer, vol. 54(4), pages 1025-1064, November.
- Chen, Chen & Zhang, Tian & Chen, Haitao & Qi, Xiulin, 2024. "Regional financial reform and corporate green innovation–Evidence based on the establishment of China National Financial Comprehensive Reform Pilot Zones," Finance Research Letters, Elsevier, vol. 60(C).
- Zhao, Ge & Zhou, P. & Wen, Wen, 2022. "What cause regional inequality of technology innovation in renewable energy? Evidence from China," Applied Energy, Elsevier, vol. 310(C).
- Wei Qian & Yongsheng Wang, 2022. "How Do Rising Labor Costs Affect Green Total Factor Productivity? Based on the Industrial Intelligence Perspective," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
- Changqi Tao & Ye Xu & YongZhang Peng & Hong Li, 2022. "Driving mechanism and spatial effect of technological potential energy agglomeration promoting the development of high-tech industry," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 5924-5946, December.
- Amitava Krishna Dutt, 2006. "Aggregate Demand, Aggregate Supply and Economic Growth," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(3), pages 319-336.
- Xie, Xuemei & Liu, Xiaojie & Blanco, Cristina, 2023. "Evaluating and forecasting the niche fitness of regional innovation ecosystems: A comparative evaluation of different optimized grey models," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
- 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).
- Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
- Shengli Dai & Weimin Zhang & Yingying Wang & Ge Wang, 2022. "Examining the Impact of Regional Development Policy on Industrial Structure Upgrading: Quasi-Experimental Evidence from China," IJERPH, MDPI, vol. 19(9), pages 1-18, April.
- Gomes, Leonardo Augusto de Vasconcelos & Facin, Ana Lucia Figueiredo & Salerno, Mario Sergio & Ikenami, Rodrigo Kazuo, 2018. "Unpacking the innovation ecosystem construct: Evolution, gaps and trends," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 30-48.
- Granstrand, Ove & Holgersson, Marcus, 2020. "Innovation ecosystems: A conceptual review and a new definition," Technovation, Elsevier, vol. 90.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Lixin Zhou & Caiping Qu & Li Zhi, 2024. "Research on the Impact of Digital Infrastructure on Urban Breakthrough Green Innovation: A Case Study of the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 16(22), pages 1-22, November.
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.- 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.
- Yuan, Ning & Li, Meijuan, 2024. "Research on collaborative innovation behavior of enterprise innovation ecosystem under evolutionary game," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
- Lepore, Dominique & Frontoni, Emanuele & Micozzi, Alessandra & Moccia, Sara & Romeo, Luca & Spigarelli, Francesca, 2023. "Uncovering the potential of innovation ecosystems in the healthcare sector after the COVID-19 crisis," Health Policy, Elsevier, vol. 127(C), pages 80-86.
- Wadim Strielkowski & Anna Sherstobitova & Patrik Rovny & Tatiana Evteeva, 2021. "Increasing Energy Efficiency and Modernization of Energy Systems in Russia: A Review," Energies, MDPI, vol. 14(11), pages 1-19, May.
- Choi, Kwang Hun & Kwon, Gyu Hyun, 2023. "Strategies for sensing innovation opportunities in smart grids: In the perspective of interactive relationships between science, technology, and business," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
- Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.
- Malte Jütting, 2020. "Exploring Mission-Oriented Innovation Ecosystems for Sustainability: Towards a Literature-Based Typology," Sustainability, MDPI, vol. 12(16), pages 1-28, August.
- Gomes, Leonardo Augusto de Vasconcelos & Flechas, Ximena Alejandra & Facin, Ana Lucia Figueiredo & Borini, Felipe Mendes, 2021. "Ecosystem management: Past achievements and future promises," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
- Patrycja Klimas & Wojciech Czakon, 2022. "Species in the wild: a typology of innovation ecosystems," Review of Managerial Science, Springer, vol. 16(1), pages 249-282, January.
- Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
- Prokop, Viktor & Gerstlberger, Wolfgang & Zapletal, David & Gyamfi, Solomon, 2023. "Do we need human capital heterogeneity for energy efficiency and innovativeness? Insights from European catching-up territories," Energy Policy, Elsevier, vol. 177(C).
- Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
- B. Senakumari Arunnima & Dharmaseelan Bijulal & R. Sudhir Kumar, 2023. "Open Innovation Intellectual Property Risk Maturity Model: An Approach to Measure Intellectual Property Risks of Software Firms Engaged in Open Innovation," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
- Juite Wang, 0000. "Analyzing and Predicting R&D Collaboration Networks in the Metaverse Industry," Proceedings of Economics and Finance Conferences 14716418, International Institute of Social and Economic Sciences.
- Gomes, Leonardo Augusto de Vasconcelos & Fleury, André Leme & Oliveira, Maicon Gouvêa de & Facin, Ana Lucia Figueiredo, 2021. "Ecosystem policy roadmapping," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
- Yanzhang Gu & Longying Hu & Hongjin Zhang & Chenxuan Hou, 2021. "Innovation Ecosystem Research: Emerging Trends and Future Research," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
- Otrachshenko, Vladimir & Hartwell, Christopher A. & Popova, Olga, 2023. "Energy efficiency, market competition, and quality certification: Lessons from Central Asia," Energy Policy, Elsevier, vol. 177(C).
- Rahul Singh & Liyuan Xu & Arthur Gretton, 2020. "Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves," Papers 2010.04855, arXiv.org, revised Oct 2022.
- Kotsopoulos, Dimosthenis & Karagianaki, Angeliki & Baloutsos, Stratos, 2022. "The effect of human capital, innovation capacity, and Covid-19 crisis on Knowledge-Intensive Enterprises’ growth within a VC-driven innovation ecosystem," Journal of Business Research, Elsevier, vol. 139(C), pages 1177-1191.
- Wen, Huwei & Liang, Weitao & Lee, Chien-Chiang, 2022. "Urban broadband infrastructure and green total-factor energy efficiency in China," Utilities Policy, Elsevier, vol. 79(C).
More about this item
Keywords
regional breakthrough innovation change strategy; ecological suitability of innovation ecosystems; green energy efficiency; spatial difference-in-differences model; double machine learning model;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:jeners:v:17:y:2024:i:16:p:3938-:d:1452656. 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.