TY - JOUR
T1 - CDM's influence on technology transfers
T2 - A study of the implemented clean development mechanism projects in China
AU - Zhang, Chi
AU - Yan, Jinyue
N1 - Publisher Copyright:
© 2015 Elsevier Ltd.
PY - 2015/11/15
Y1 - 2015/11/15
N2 - Technology transfers through the Clean Development Mechanism (CDM) under the Kyoto Protocol is one of the most important catalysts in the cooperation between developed (Annex I) and developing (non-Annex I) countries for climate change mitigation. With the large-scale implementation of CDM projects in recent years, it is important to timely and comprehensively analyze the effectiveness of technology transfers in these implemented projects on the level of individual countries. In this context, China is of particular significance as it is the biggest host country of CDM projects in the world; 50% of total CDM projects implemented from 2007 to 2012 have issued Certified Emission Reductions (CERs) to 60% of all of the CDM projects. In this study, we evaluated the performance of technology transfers in an exclusive database of 754 CDM projects hosted by China between 2007 and 2012 with issued CERs since CERs were first issued in China. In addition, we developed a logistic regression approach using 11-variables that include a series of extended technology transfer-based indicators from the perspectives of project design, economic level, and technology capability that have not been studied in detail in the past. The results show that technology transfers are more likely to occur in large-sized projects with higher CER incomes, in projects with international participants, and in projects involving types such as HFC-23 reduction, fuel substitute, and N2O decomposition, in comparison to projects involving renewable energy. We observed that over 90% of the technology transfer projects only include importation of equipment or training to China. In our findings of the regression results, it shows that technology transfers occurred more often in regions with lower technology capabilities, less energy consumption, and a lower GDP growth rate. Supported by high local technology capability and the governmental strategy with independent innovation, the advantages of introducing technology from other countries are offset by local technology diffusion. In a market view, financial incentives hinder CDM host parties from introducing new equipment or trainings for the high marginal cost, unless the high marginal cost of technology transfer can be offset by a large CDM with a high CER income. Technology transfer is more income-driven than sustainability-driven at the present stage in China. In our analysis, the drive out effect between HFC-23 and renewable projects in CDM suggests China government to publish more effective incentives to attract more sustainable types of CDM projects with a higher level of technology innovation. The results are also discussed in the context of policy issues, which can be helpful for the decision makers when formulating future sustainable strategic plans and policy.
AB - Technology transfers through the Clean Development Mechanism (CDM) under the Kyoto Protocol is one of the most important catalysts in the cooperation between developed (Annex I) and developing (non-Annex I) countries for climate change mitigation. With the large-scale implementation of CDM projects in recent years, it is important to timely and comprehensively analyze the effectiveness of technology transfers in these implemented projects on the level of individual countries. In this context, China is of particular significance as it is the biggest host country of CDM projects in the world; 50% of total CDM projects implemented from 2007 to 2012 have issued Certified Emission Reductions (CERs) to 60% of all of the CDM projects. In this study, we evaluated the performance of technology transfers in an exclusive database of 754 CDM projects hosted by China between 2007 and 2012 with issued CERs since CERs were first issued in China. In addition, we developed a logistic regression approach using 11-variables that include a series of extended technology transfer-based indicators from the perspectives of project design, economic level, and technology capability that have not been studied in detail in the past. The results show that technology transfers are more likely to occur in large-sized projects with higher CER incomes, in projects with international participants, and in projects involving types such as HFC-23 reduction, fuel substitute, and N2O decomposition, in comparison to projects involving renewable energy. We observed that over 90% of the technology transfer projects only include importation of equipment or training to China. In our findings of the regression results, it shows that technology transfers occurred more often in regions with lower technology capabilities, less energy consumption, and a lower GDP growth rate. Supported by high local technology capability and the governmental strategy with independent innovation, the advantages of introducing technology from other countries are offset by local technology diffusion. In a market view, financial incentives hinder CDM host parties from introducing new equipment or trainings for the high marginal cost, unless the high marginal cost of technology transfer can be offset by a large CDM with a high CER income. Technology transfer is more income-driven than sustainability-driven at the present stage in China. In our analysis, the drive out effect between HFC-23 and renewable projects in CDM suggests China government to publish more effective incentives to attract more sustainable types of CDM projects with a higher level of technology innovation. The results are also discussed in the context of policy issues, which can be helpful for the decision makers when formulating future sustainable strategic plans and policy.
KW - CDM
KW - China
KW - Emission reduction
KW - Logistic regression
KW - Technology transfer
UR - http://www.scopus.com/inward/record.url?scp=84940500134&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2015.06.072
DO - 10.1016/j.apenergy.2015.06.072
M3 - Article
AN - SCOPUS:84940500134
SN - 0306-2619
VL - 158
SP - 355
EP - 365
JO - Applied Energy
JF - Applied Energy
ER -