Effects of Supply Chain Digitization on Different Types of Corporate Green Innovation: Empirical Evidence from Double Machine Learning (DML)
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Schniederjans, Dara G. & Curado, Carla & Khalajhedayati, Mehrnaz, 2020. "Supply chain digitisation trends: An integration of knowledge management," International Journal of Production Economics, Elsevier, vol. 220(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, Feng & Srinivasan, Suraj, 2011. "Corporate governance when founders are directors," Journal of Financial Economics, Elsevier, vol. 102(2), pages 454-469.
- Petrovic, Dobrila, 2001. "Simulation of supply chain behaviour and performance in an uncertain environment," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 429-438, May.
- Guiso, Luigi & Sapienza, Paola & Zingales, Luigi, 2015.
"The value of corporate culture,"
Journal of Financial Economics, Elsevier, vol. 117(1), pages 60-76.
- Luigi Guiso & Paola Sapienza & Luigi Zingales, 2011. "The Value of Corporate Culture," NBER Chapters, in: Causes and Consequences of Corporate Culture, pages 60-76, National Bureau of Economic Research, Inc.
- Luigi Guiso & Paola Sapienza & Luigi Zingales, 2013. "The Value of Corporate Culture," NBER Working Papers 19557, National Bureau of Economic Research, Inc.
- Guiso, Luigi & Zingales, Luigi & Sapienza, Paola, 2013. "The Value of Corporate Culture," CEPR Discussion Papers 9716, Centre for Economic Policy Research.
- Luigi Guiso & Paola Sapienza & Luigi Zingales, 2013. "The Value of Corporate Culture," EIEF Working Papers Series 1327, Einaudi Institute for Economics and Finance (EIEF), revised Oct 2013.
- Zhou, Yue, 2024. "Natural resources and green economic growth: A pathway to innovation and digital transformation in the mining industry," Resources Policy, Elsevier, vol. 90(C).
- Liu, Ying & Huang, Hongyun & Mbanyele, William & Li, Xin & Balezentis, Tomas, 2025. "Harnessing supply chain digital innovation for enhanced corporate environmental practices and sustainable growth," Energy Economics, Elsevier, vol. 142(C).
- Wang, Xiong & Li, Jingyao & Ren, Xiaohang & Bu, Ruijun & Jawadi, Fredj, 2023.
"Economic policy uncertainty and dynamic correlations in energy markets: Assessment and solutions,"
Energy Economics, Elsevier, vol. 117(C).
- Xiong Wang & Jingyao Li & Xiaohang Ren & Ruijun Bu & Fredj Jawadi, 2023. "Economic policy uncertainty and dynamic correlations in energy markets: Assessment and solutions," Post-Print hal-04478736, HAL.
- Smith, Jared D., 2016. "US political corruption and firm financial policies," Journal of Financial Economics, Elsevier, vol. 121(2), pages 350-367.
- Lee, Chien-Chiang & He, Zhi-Wen & Yuan, Zihao, 2023. "A pathway to sustainable development: Digitization and green productivity," Energy Economics, Elsevier, vol. 124(C).
- Chao Hung Wang & Wei‐Jr Juo, 2021. "An environmental policy of green intellectual capital: Green innovation strategy for performance sustainability," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 3241-3254, November.
- 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 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.
- 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.
- Susanne Arvidsson & John Dumay, 2022. "Corporate ESG reporting quantity, quality and performance: Where to now for environmental policy and practice?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 1091-1110, March.
- Luo, Shuangcheng & Xiong, Zhiqiao & Liu, Jianjiang, 2024. "How does supply chain digitization affect green innovation? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 136(C).
- Rena Kondo & Yuki Kinoshita & Tetsuo Yamada, 2019. "Green Procurement Decisions with Carbon Leakage by Global Suppliers and Order Quantities under Different Carbon Tax," Sustainability, MDPI, vol. 11(13), pages 1-19, July.
- Li, Zhiyi & Hu, Boqiang & Bao, Yifei & Wang, Yifei, 2025. "Supply chain digitalization, green technology innovation and corporate energy efficiency," Energy Economics, Elsevier, vol. 142(C).
- Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
- Xu, Jingru & Yang, Baochen & Yuan, Chunlai, 2025. "The impact of supply chain digitalization on urban resilience: Do industrial chain resilience, green total factor productivity and innovation matter?," Energy Economics, Elsevier, vol. 145(C).
- Liao, Feimei & Hu, Yaoyao & Chen, Mengjie & Xu, Shulin, 2024. "Digital transformation and corporate green supply chain efficiency: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 195-207.
- Shaoxing Sun & Tao Guo & Shaopeng Zhang, 2025. "Guiding corporate green sustainable development: insights from green public procurement," Economic Change and Restructuring, Springer, vol. 58(4), pages 1-22, August.
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.- Tao Wang & Yang Shen, 2025. "Unlocking the potential of supply chain digitalization for enhancing enterprise green transformation performance: evidence from China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-16, December.
- Xin Zhang & Qiying Ran & Haijie Wang & Zhimeng Zhu & Yanchao Feng, 2026. "Whether the supply chain digitization improves the carbon emission efficiency in border regions? Empirical evidence from China," Economic Change and Restructuring, Springer, vol. 59(1), pages 1-29, February.
- Yang, Ping & Lv, Yanqin & Chen, Jing & Shen, Hebin & Xu, Yang, 2025. "Can the digitization of supply chains promote the low-carbon transformation of enterprises? A case study of listed companies in China," Energy Economics, Elsevier, vol. 143(C).
- Yantuan Yu & Ning Zhang, 2025. "Revealing the Power of Market-Based Energy Policy: Evidence from China’s Energy Quota Trading System Using Machine Learning," Working papers 2025rwp-258, Yonsei University, Yonsei Economics Research Institute.
- Wu, Shan & Zou, Mengqi & Jin, Tongen, 2025. "Data element marketization and corporate investment efficiency: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 104(PA).
- Yiying Wang & Derek D. Wang, 2025. "The Dual Path of the Impact of Digital Technology Adoption on ESG Performance," Sustainability, MDPI, vol. 17(6), pages 1-24, March.
- Nie, Song & Wang, Shihao & Ji, Qiang, 2025. "Break down data silos: Does public data openness improve corporate ESG performance?," International Review of Financial Analysis, Elsevier, vol. 106(C).
- Wu, Lang & Shi, Junwei, 2025. "From peer influence to green cognition: How digital transformation fosters renewable energy innovation in manufacturing," Energy Economics, Elsevier, vol. 148(C).
- Robin Chen & Chia‐Wei Huang & Chih‐Yung Lin, 2022. "Board corruption and loan contracts," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(9-10), pages 1929-1956, October.
- Quentin Dupont & Jonathan M. Karpoff, 2020. "The Trust Triangle: Laws, Reputation, and Culture in Empirical Finance Research," Journal of Business Ethics, Springer, vol. 163(2), pages 217-238, May.
- Zhonglin Sheng & Longyan Zhang & Xiaoling Wang & Xiao-Chen Yuan & Chao Feng, 2026. "Policy effects of belt and road initiative on corporate green transformation: empirical tests based on dual machine learning model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 28(2), pages 5207-5232, February.
- Gu, Jiafeng, 2025. "Did supply chain digitization contribute to corporate green energy innovation? The mediating role of asset receivable management and policy spillovers," Energy Economics, Elsevier, vol. 143(C).
- Mbanyele, William & Muchenje, Linda Tinofirei, 2025. "Towards a greener future: The role of blockchain legislation in promoting corporate green innovation," International Review of Economics & Finance, Elsevier, vol. 103(C).
- Huang, Wei & Yang, Fan & Zhu, Yixin, 2025. "Digital economy and entrusted loans: Evidence from shadow banking," Finance Research Letters, Elsevier, vol. 73(C).
- Zhang, Tianze & Zhao, Xueqi & Xi, Yue, 2025. "Greening the chain: How digital transformation of supply chains drives corporate innovation in China's A-share market," International Review of Financial Analysis, Elsevier, vol. 103(C).
- Hassan, M. Kabir & Karim, M. Sydul & Cole, Matthew L., 2025. "Corporate culture and inventory behavior," International Review of Economics & Finance, Elsevier, vol. 102(C).
- Li, Zhiyi & Hu, Boqiang & Bao, Yifei & Wang, Yifei, 2025. "Supply chain digitalization, green technology innovation and corporate energy efficiency," Energy Economics, Elsevier, vol. 142(C).
- Malik, Mahfuja & Mamun, Khawaja & Osman, Syed Muhammad Ishraque, 2025. "Does corruption control enhance ESG-induced firm value? Insights from machine learning analysis," Finance Research Letters, Elsevier, vol. 72(C).
- Yu, Yantuan & Zhang, Ning, 2026. "Revealing the power of market-based energy policy: Evidence from China's energy quota trading system using machine learning," Energy Policy, Elsevier, vol. 208(C).
- Kang, Shikang & Shang, Yu, 2025. "How artificial intelligence drives industrial digitalization and greening synergies? Evidence from China's AI innovation and development pilot zones," Technology in Society, Elsevier, vol. 83(C).
Corrections
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:jsusta:v:17:y:2025:i:16:p:7509-:d:1728236. 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.
Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i16p7509-d1728236.html