IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v183y2022ics0040162522004164.html
   My bibliography  Save this article

Does industrial robot application promote green technology innovation in the manufacturing industry?

Author

Listed:
  • Lee, Chien-Chiang
  • Qin, Shuai
  • Li, Yaya

Abstract

Manufacturing green technology innovation is important in achieving climate goals and is the key in promoting sustainable economic development. Using the industrial robot data and manufacturing green technology innovation data from 34 countries from 1993 to 2019, this paper reveals the mechanism and heterogeneity of the application of industrial robots (IRA) affecting green technology innovation (GTI) in the global manufacturing sector. The results indicate the following: (1) The IRA significantly promotes GTI, and the endogenous and robustness tests show that the results are robust. (2) The IRA promotes GTI with a dual-channel mechanism—the mediating effect of green R&D investment and the moderating effect of environmental regulation. (3) There is two-dimensional heterogeneity in terms of the application industries and regions in terms of the green technology innovation effects of industrial robot applications. (4) In addition, the implementation of Industry 4.0 is in favor of the stimulating effects of industrial robots on green technology innovation. Finally, valuable policy advices are proposed based on the empirical results.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:183:y:2022:i:c:s0040162522004164
    DOI: 10.1016/j.techfore.2022.121893
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162522004164
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2022.121893?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    2. Cui, Jingbo & Dai, Jing & Wang, Zhenxuan & Zhao, Xiande, 2022. "Does Environmental Regulation Induce Green Innovation? A Panel Study of Chinese Listed Firms," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    3. Gozgor, Giray & Lau, Chi Keung Marco & Lu, Zhou, 2018. "Energy consumption and economic growth: New evidence from the OECD countries," Energy, Elsevier, vol. 153(C), pages 27-34.
    4. Zhang, Fan & Deng, Xiangzheng & Phillips, Fred & Fang, Chuanglin & Wang, Chao, 2020. "Impacts of industrial structure and technical progress on carbon emission intensity: Evidence from 281 cities in China," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    5. 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).
    6. 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).
    7. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    8. Khan, Khalid & Su, Chi Wei & Rehman, Ashfaq U. & Ullah, Rahman, 2022. "Is technological innovation a driver of renewable energy?," Technology in Society, Elsevier, vol. 70(C).
    9. Hall, Bronwyn H. & Lerner, Josh, 2010. "The Financing of R&D and Innovation," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 609-639, Elsevier.
    10. Cai, Yifei & Zhang, Dongna & Chang, Tsangyao & Lee, Chien-Chiang, 2022. "Macroeconomic outcomes of OPEC and non-OPEC oil supply shocks in the euro area," Energy Economics, Elsevier, vol. 109(C).
    11. Barbieri, Nicolò, 2015. "Investigating the impacts of technological position and European environmental regulation on green automotive patent activity," Ecological Economics, Elsevier, vol. 117(C), pages 140-152.
    12. 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.
    13. Wang, En-Ze & Lee, Chien-Chiang, 2022. "The impact of information communication technology on energy demand: Some international evidence," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 128-146.
    14. Enrico Botta & Tomasz Koźluk, 2014. "Measuring Environmental Policy Stringency in OECD Countries: A Composite Index Approach," OECD Economics Department Working Papers 1177, OECD Publishing.
    15. Gozgor, Giray & Paramati, Sudharshan Reddy, 2022. "Does energy diversification cause an economic slowdown? Evidence from a newly constructed energy diversification index," Energy Economics, Elsevier, vol. 109(C).
    16. Earnhart, Dietrich, 2004. "Regulatory factors shaping environmental performance at publicly-owned treatment plants," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 655-681, July.
    17. Lee, Chi-Chuan & Lee, Chien-Chiang, 2022. "How does green finance affect green total factor productivity? Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    18. Wang, Yun & Sun, Xiaohua & Guo, Xu, 2019. "Environmental regulation and green productivity growth: Empirical evidence on the Porter Hypothesis from OECD industrial sectors," Energy Policy, Elsevier, vol. 132(C), pages 611-619.
    19. Sven-Vegard Buer & Jan Ola Strandhagen & Felix T. S. Chan, 2018. "The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2924-2940, April.
    20. Gu, Yan & Ho, Kung-Cheng & Yan, Cheng & Gozgor, Giray, 2021. "Public environmental concern, CEO turnover, and green investment: Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 100(C).
    21. Kammerer, Daniel, 2009. "The effects of customer benefit and regulation on environmental product innovation.: Empirical evidence from appliance manufacturers in Germany," Ecological Economics, Elsevier, vol. 68(8-9), pages 2285-2295, June.
    22. Kose, Toshihiro & Sakata, Ichiro, 2019. "Identifying technology convergence in the field of robotics research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 751-766.
    23. Tang, Chang & Xu, Yuanyuan & Hao, Yu & Wu, Haitao & Xue, Yan, 2021. "What is the role of telecommunications infrastructure construction in green technology innovation? A firm-level analysis for China," Energy Economics, Elsevier, vol. 103(C).
    24. Arthur Lewbel, 2012. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80.
    25. Huang, Lei & Wang, Chenhao & Chin, Tachia & Huang, Jiahe & Cheng, Xuanmei, 2022. "Technological knowledge coupling and green innovation in manufacturing firms: Moderating roles of mimetic pressure and environmental identity," International Journal of Production Economics, Elsevier, vol. 248(C).
    26. Yaya Li & Yongli Li & An Pan & Xue Pan & Eleonora Veglianti, 2022. "The Network Structure Characteristics and Determinants of the Belt & Road Industrial Robot Trade," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(5), pages 1491-1501, April.
    27. Du, Kerui & Cheng, Yuanyuan & Yao, Xin, 2021. "Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities," Energy Economics, Elsevier, vol. 98(C).
    28. Barbieri, Nicolò & Marzucchi, Alberto & Rizzo, Ugo, 2020. "Knowledge sources and impacts on subsequent inventions: Do green technologies differ from non-green ones?," Research Policy, Elsevier, vol. 49(2).
    29. Lee, Chien-Chiang & Wang, Chih-Wei & Ho, Shan-Ju, 2022. "The dimension of green economy: Culture viewpoint," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 122-138.
    30. Dang, Jianwei & Motohashi, Kazuyuki, 2015. "Patent statistics: A good indicator for innovation in China? Patent subsidy program impacts on patent quality," China Economic Review, Elsevier, vol. 35(C), pages 137-155.
    31. Lin, Boqiang & Ma, Ruiyang, 2022. "Green technology innovations, urban innovation environment and CO2 emission reduction in China: Fresh evidence from a partially linear functional-coefficient panel model," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    32. Su, Chi-Wei & Yuan, Xi & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Does technological innovation bring destruction or creation to the labor market?," Technology in Society, Elsevier, vol. 68(C).
    33. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.
    34. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    35. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    36. 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).
    37. Lv, Chengchao & Shao, Changhua & Lee, Chien-Chiang, 2021. "Green technology innovation and financial development: Do environmental regulation and innovation output matter?," Energy Economics, Elsevier, vol. 98(C).
    38. Jung, Jin Hwa & Lim, Dong-Geon, 2020. "Industrial robots, employment growth, and labor cost: A simultaneous equation analysis," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    39. Wu, Yizhong & Lee, Chien-Chiang & Lee, Chi-Chuan & Peng, Diyun, 2022. "Geographic proximity and corporate investment efficiency: Evidence from high-speed rail construction in China," Journal of Banking & Finance, Elsevier, vol. 140(C).
    40. Mario COCCIA, 2018. "Theorem of not independence of any technological innovation," Journal of Economics Bibliography, KSP Journals, vol. 5(1), pages 29-35, March.
    41. Wurlod, Jules-Daniel & Noailly, Joëlle, 2018. "The impact of green innovation on energy intensity: An empirical analysis for 14 industrial sectors in OECD countries," Energy Economics, Elsevier, vol. 71(C), pages 47-61.
    42. Li, Guangqin & Xue, Qing & Qin, Jiahong, 2022. "Environmental information disclosure and green technology innovation: Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    43. Zhou, Fengxiu & Wen, Huwei & Lee, Chien-Chiang, 2022. "Broadband infrastructure and export growth," Telecommunications Policy, Elsevier, vol. 46(5).
    44. Hu, Jinyan & Wang, Kai-Hua & Su, Chi Wei & Umar, Muhammad, 2022. "Oil price, green innovation and institutional pressure: A China's perspective," Resources Policy, Elsevier, vol. 78(C).
    45. Dietrich Earnhart, 2004. "Panel Data Analysis of Regulatory Factors Shaping Environmental Performance," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 391-401, February.
    46. 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.
    47. Michael E. Porter & Claas van der Linde, 1995. "Toward a New Conception of the Environment-Competitiveness Relationship," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 97-118, Fall.
    48. Danquah, Michael & Amankwah-Amoah, Joseph, 2017. "Assessing the relationships between human capital, innovation and technology adoption: Evidence from sub-Saharan Africa," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 24-33.
    49. 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).
    50. Moyer, Jonathan D. & Hughes, Barry B., 2012. "ICTs: Do they contribute to increased carbon emissions?," Technological Forecasting and Social Change, Elsevier, vol. 79(5), pages 919-931.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Yaya & Zhang, Yun, 2023. "What is the role of green ICT innovation in lowering carbon emissions in China? A provincial-level analysis," Energy Economics, Elsevier, vol. 127(PA).
    2. Wang, Jianlong & Wang, Weilong & Liu, Yong & Wu, Haitao, 2023. "Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China," Technology in Society, Elsevier, vol. 72(C).
    3. Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
    4. Shunbin Zhong & Huafu Shen & Ziheng Niu & Yang Yu & Lin Pan & Yaojun Fan & Atif Jahanger, 2022. "Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    5. Chi Gong & Xianghui Yang & Hongru Tan & Xiaoye Lu, 2023. "Industrial Robots, Economic Growth, and Sustainable Development in an Aging Society," Sustainability, MDPI, vol. 15(5), pages 1-12, March.
    6. Zhang, Xiaoming & Liang, Qian & Lee, Chien-Chiang, 2023. "How does central bank transparency affect systemic risk? Evidence from developed and developing countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 101-115.
    7. Wang, Yafei & Bai, Ying & Quan, Tianshu & Ran, Rong & Hua, Lei, 2023. "Influence and effect of industrial agglomeration on urban green total factor productivity—On the regulatory role of innovation agglomeration and institutional distance," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1158-1173.
    8. Ke-Liang Wang & Ting-Ting Sun & Ru-Yu Xu, 2023. "The impact of artificial intelligence on total factor productivity: empirical evidence from China’s manufacturing enterprises," Economic Change and Restructuring, Springer, vol. 56(2), pages 1113-1146, April.
    9. Lv, Chengchao & Song, Jie & Lee, Chien-Chiang, 2022. "Can digital finance narrow the regional disparities in the quality of economic growth? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 502-521.
    10. Lee, Chien-Chiang & Wang, Fuhao & Lou, Runchi, 2022. "Digital financial inclusion and carbon neutrality: Evidence from non-linear analysis," Resources Policy, Elsevier, vol. 79(C).
    11. Li, Zhongshun & Xie, Weihong & Wang, Zhong & Wang, Yongjian & Huang, Danyu, 2023. "Antecedent configurations and performance of business models of intelligent manufacturing enterprises," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    12. Xu, Yong & Yuan, Ling & Khalfaoui, Rabeh & Radulescu, Magdalena & Mallek, Sabrine & Zhao, Xin, 2023. "Making technological innovation greener: Does firm digital transformation work?," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    13. Wen, Jun & Yin, Hua-Tang & Jang, Chyi-Lu & Uchida, Hideaki & Chang, Chun-Ping, 2023. "Does corruption hurt green innovation? Yes – Global evidence from cross-validation," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    14. Wang, Nannan & Cui, Dengfeng & Dong, Yin, 2023. "Study on the impact of business environment on private enterprises' technological innovation from the perspective of transaction cost," Innovation and Green Development, Elsevier, vol. 2(1).
    15. Ho, Kung-Cheng & Shen, Xixi & Yan, Cheng & Hu, Xiang, 2023. "Influence of green innovation on disclosure quality: Mediating role of media attention," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    16. Mirza, Nawazish & Umar, Muhammad & Afzal, Ayesha & Firdousi, Saba Fazal, 2023. "The role of fintech in promoting green finance, and profitability: Evidence from the banking sector in the euro zone," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 33-40.
    17. Dong, Kangyin & Yang, Senmiao & Wang, Jianda & Dong, Xiucheng, 2023. "Revisiting energy justice: Is renewable energy technology innovation a tool for realizing a just energy system?," Energy Policy, Elsevier, vol. 183(C).
    18. Sabina-Cristiana Necula, 2023. "Assessing the Potential of Artificial Intelligence in Advancing Clean Energy Technologies in Europe: A Systematic Review," Energies, MDPI, vol. 16(22), pages 1-24, November.
    19. Yu Ma & Pan Tao, 2023. "A Perspective on Management Myopia: The Impact of Digital Transformation on Carbon Emission Intensity," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    20. Li, Yaya & Cobbinah, Joana & Abban, Olivier Joseph & Veglianti, Eleonora, 2023. "Does green manufacturing technology innovation decrease energy intensity for sustainable development?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1010-1025.
    21. 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).
    22. Calabrese, Armando & Costa, Roberta & Tiburzi, Luigi & Brem, Alexander, 2023. "Merging two revolutions: A human-artificial intelligence method to study how sustainability and Industry 4.0 are intertwined," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    23. Kunkel, S. & Neuhäusler, P. & Matthess, M. & Dachrodt, M.F., 2023. "Industry 4.0 and energy in manufacturing sectors in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).

    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.
    1. 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).
    2. 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).
    3. Li, Yaya & Zhu, Zhu & Guan, Yefeng & Kang, Yanfang, 2022. "Research on the structural features and influence mechanism of the green ICT transnational cooperation network," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 734-749.
    4. Wen, Huwei & Wen, Changyong & Lee, Chien-Chiang, 2022. "Impact of digitalization and environmental regulation on total factor productivity," Information Economics and Policy, Elsevier, vol. 61(C).
    5. Lv, Chengchao & Song, Jie & Lee, Chien-Chiang, 2022. "Can digital finance narrow the regional disparities in the quality of economic growth? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 502-521.
    6. 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).
    7. Lee, Chien-Chiang & Wang, Chang-song, 2022. "Financial development, technological innovation and energy security: Evidence from Chinese provincial experience," Energy Economics, Elsevier, vol. 112(C).
    8. 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).
    9. Ho, Kung-Cheng & Shen, Xixi & Yan, Cheng & Hu, Xiang, 2023. "Influence of green innovation on disclosure quality: Mediating role of media attention," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    10. Feng, Yuan & Chen, Zhi & Nie, Changfei, 2023. "The effect of broadband infrastructure construction on urban green innovation: Evidence from a quasi-natural experiment in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 581-598.
    11. Ke An & Yike Shan & Sheng Shi, 2022. "Impact of Industrial Intelligence on Total Factor Productivity," Sustainability, MDPI, vol. 14(21), pages 1-21, November.
    12. Hu, Hui & Qi, Shaozhou & Chen, Yuanzhi, 2023. "Using green technology for a better tomorrow: How enterprises and government utilize the carbon trading system and incentive policies," China Economic Review, Elsevier, vol. 78(C).
    13. Lee, Chien-Chiang & Hussain, Jafar & Chen, Yongxiu, 2022. "The optimal behavior of renewable energy resources and government's energy consumption subsidy design from the perspective of green technology implementation," Renewable Energy, Elsevier, vol. 195(C), pages 670-680.
    14. Hussain, Jafar & Lee, Chien-Chiang & Chen, Yongxiu, 2022. "Optimal green technology investment and emission reduction in emissions generating companies under the support of green bond and subsidy," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    15. Feng, Gen-Fu & Niu, Peng & Wang, Jun-Zhuo & Liu, Jian, 2022. "Capital market liberalization and green innovation for sustainability: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 610-623.
    16. Lee, Chien-Chiang & Hussain, Jafar, 2023. "An assessment of socioeconomic indicators and energy consumption by considering green financing," Resources Policy, Elsevier, vol. 81(C).
    17. Xie, Ronghui & Teo, Thompson S.H., 2022. "Green technology innovation, environmental externality, and the cleaner upgrading of industrial structure in China — Considering the moderating effect of environmental regulation," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    18. 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.
    19. Ma, Yechi & Sha, Yezhou & Wang, Zilong & Zhang, Wenjing, 2023. "The effect of the policy mix of green credit and government subsidy on environmental innovation," Energy Economics, Elsevier, vol. 118(C).
    20. 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).

    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:eee:tefoso:v:183:y:2022:i:c:s0040162522004164. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.