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Clean technology adoption in the context of climate change: Application in the mineral products industry

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  • Dincbas, Tugba
  • Ergeneli, Azize
  • Yigitbasioglu, Hakan

Abstract

With the adoption/diffusion of clean technologies, it is possible to reach most of the required amount of emission reduction to address climate change. In this regard, identifying its variables and understanding the adoption process deeply will help to accelerate clean technology adoption (CTA) and develop effective policies and strategies on clean technologies. The aim of this study is to determine the CTA process through a new model based on the Technology-Organization-Environment Framework (TOE) applied to mineral products industry in Turkey. The results revealed that the CTA is considerably affected by technological and organizational factors but not by external environmental factor. Among these factors, complexity, relative advantage and compatibility of the technology, human resource quality and firm vision are listed as key. In addition, the results showed a difference between CTA levels in terms of technological and organizational factors, and CTA is positively affected by the level of R&D activities of the firm.

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  • Dincbas, Tugba & Ergeneli, Azize & Yigitbasioglu, Hakan, 2021. "Clean technology adoption in the context of climate change: Application in the mineral products industry," Technology in Society, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:teinso:v:64:y:2021:i:c:s0160791x20312811
    DOI: 10.1016/j.techsoc.2020.101478
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    1. Ashish Dwivedi & Claudio Sassanelli & Dindayal Agrawal & Md. Abdul Moktadir & Idiano D'Adamo, 2023. "Drivers to mitigate climate change in context of manufacturing industry: An emerging economy study," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4467-4484, November.
    2. Tom Savage & Antonio del Rio Chanona & Gbemi Oluleye, 2023. "Robust Market Potential Assessment: Designing optimal policies for low-carbon technology adoption in an increasingly uncertain world," Papers 2304.10203, arXiv.org.
    3. Sayed Fayaz Ahmad & Muhammad Mansoor Alam & Mohd. Khairil Rahmat & Muhammad Khalil Shahid & Mahnaz Aslam & Nur Agus Salim & Mohammed Hasan Ali Al-Abyadh, 2023. "Leading Edge or Bleeding Edge: Designing a Framework for the Adoption of AI Technology in an Educational Organization," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
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    5. Shi, Yingying & Wei, Zixiang & Shahbaz, Muhammad & Zeng, Yongchao, 2021. "Exploring the dynamics of low-carbon technology diffusion among enterprises: An evolutionary game model on a two-level heterogeneous social network," Energy Economics, Elsevier, vol. 101(C).
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    7. Yang, Bo & Liu, Baozhen & Peng, Jiachao & Liu, Xujun, 2022. "The impact of the embedded global value chain position on energy-biased technology progress: Evidence from chinas manufacturing," Technology in Society, Elsevier, vol. 71(C).

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