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Factors driving international technology transfer: empirical insights from a CDM project survey

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  • Carsten Gandenberger
  • Miriam Bodenheimer
  • Joachim Schleich
  • Robert Orzanna
  • Lioba Macht

Abstract

This study empirically explores factors driving international technology transfer via Clean Development Mechanism (CDM) projects by explicitly considering factors that have been identified in the literature on international technology transfer as being relevant for transfer success. These factors include technological characteristics, such as the novelty and complexity of a technology, as well as the use of different transfer channels. Employing data from an original survey of CDM project participants, the econometric analysis also distinguishes between knowledge and equipment transfer. The findings suggest that more complex technologies and the use of export as a transfer channel are both associated with a higher degree of technology transfer. Projects involving two- to five-year-old technologies seem more likely to involve technology transfer than both younger and older technologies. Energy supply and efficiency projects are correlated with a higher degree of technology transfer than non-energy projects. Unlike previous studies, technology transfer was not related to project size, to the length of time a country has hosted CDM projects, or to the host country's absorptive capacity. The findings for knowledge and equipment transfer are similar, but not identical.Policy relevanceCDM projects are often seen as a vehicle for the transfer of climate technologies from industrialized to developing countries. Technology transfer is an important element of the new and emerging market mechanisms and frameworks under the United Nations Framework Convention on Climate Change, such as the Technology Mechanism, Nationally Appropriate Mitigation Actions, or Intended Nationally Determined Contributions. Thus, a clearer understanding of the factors driving technology transfer may help policy makers in their design of such mechanisms. For the CDM, this may be achieved by including more stringent technology transfer requirements in countries’ CDM project approval processes. Based on our findings, such policies should focus particularly on energy supply and efficiency technologies. Likewise, it may be beneficial for host countries to condition project approval on the novelty and complexity of technologies and adjust these provisions over time. Since such technological characteristics are not captured systematically by project design documents, using a survey-based evaluation opens up new opportunities for a more holistic and targeted evaluation of technology transfer in CDM projects.

Suggested Citation

  • Carsten Gandenberger & Miriam Bodenheimer & Joachim Schleich & Robert Orzanna & Lioba Macht, 2016. "Factors driving international technology transfer: empirical insights from a CDM project survey," Climate Policy, Taylor & Francis Journals, vol. 16(8), pages 1065-1084, November.
  • Handle: RePEc:taf:tcpoxx:v:16:y:2016:i:8:p:1065-1084
    DOI: 10.1080/14693062.2015.1069176
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    Cited by:

    1. Preeti Chawla & Neetu Chhillar, 2025. "Study of the Factors Affecting Adaption of Sustainable Technology Transfer," Acta Universitatis Bohemiae Meridionalis, University of South Bohemia in Ceske Budejovice, Faculty of Economics, vol. 28(1), pages 34-54.
    2. Trotter, Ian Michael & da Cunha, Dênis Antônio & Féres, José Gustavo, 2015. "The relationships between CDM project characteristics and CER market prices," Ecological Economics, Elsevier, vol. 119(C), pages 158-167.
    3. Kirchherr, Julian & Matthews, Nathanial, 2018. "Technology transfer in the hydropower industry: An analysis of Chinese dam developers’ undertakings in Europe and Latin America," Energy Policy, Elsevier, vol. 113(C), pages 546-558.
    4. Joao J. M. Ferreira & Cristina Fernandes & Vanessa Ratten, 2019. "The effects of technology transfers and institutional factors on economic growth: evidence from Europe and Oceania," The Journal of Technology Transfer, Springer, vol. 44(5), pages 1505-1528, October.
    5. Jin Guo & Hanqiao Yang, 2022. "CDMs’ effect on environmentally sensitive productivity: evidence from Chinese provinces," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 401-422, December.
    6. Song, Malin & Zhu, Shuai & Wang, Jianlin & Zhao, Jiajia, 2020. "Share green growth: Regional evaluation of green output performance in China," International Journal of Production Economics, Elsevier, vol. 219(C), pages 152-163.
    7. Wang, Zhen & Yan, Haoben & Gao, Xue & Liang, Qiaomei & Mi, Zhifu & Liu, Lancui, 2024. "Have consumption-based CO2 emissions in developed countries peaked?," Energy Policy, Elsevier, vol. 184(C).
    8. Cui, Jingbo & Liu, Xi & Sun, Yongping & Yu, Haishan, 2020. "Can CDM projects trigger host countries’ innovation in renewable energy? Evidence of firm-level dataset from China," Energy Policy, Elsevier, vol. 139(C).

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