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Regional decomposition and attribution analysis of carbon-emission intensity using an extended approach combined with a meta-frontier non-radial Malmquist-Luenberger productivity index
Environmental Impact Assessment Review ( IF 6.122 ) Pub Date : 2024-03-05 , DOI: 10.1016/j.eiar.2024.107473 Jiaojiao Sun , Jue Cui , Feng Dong , Yajie Liu
Environmental Impact Assessment Review ( IF 6.122 ) Pub Date : 2024-03-05 , DOI: 10.1016/j.eiar.2024.107473 Jiaojiao Sun , Jue Cui , Feng Dong , Yajie Liu
Reducing carbon intensity is a key strategy in achieving carbon neutrality. Existing joint methods, including log-mean division index and production-theoretical decomposition analysis, were often linked to the Shepherd distance function to identify factors driving carbon intensity. However, this would overlook the biases in decomposition results caused by the disaggregated efficiency in different orientations. To gain a more comprehensive insight into determinants of China's aggregate carbon intensity from regional technological catch-up, technological innovation, technological leadership and low-carbon development mode, this study extended and modified the regional decomposition and attribution analysis framework by incorporating the two aforementioned approaches, the meta-frontier global non-radial Malmquist-Luenberger productivity index, and attribution analysis. The results demonstrated that China's aggregate carbon intensity declined by 56.03% during 2000–2019, which was primarily driven by the technological innovation category. Almost all provinces exhibited negative contributions to output-based technology progress, output-based technology gap, energy structure, and R&D intensity, all of which helped reduce the aggregate carbon intensity. However, this negative contribution was compensated for by the potential energy intensity, potential capital intensity, energy-based technology efficiency, energy-based technology progress, energy-based technology gap, and output-based technology efficiency. The decline of China's aggregate carbon intensity was attributed to the greatest negative effect of output-based technology progress in Shandong. The increase in energy-based technology gap led to a great increase in the aggregate carbon intensity, mainly owing to Liaoning. Our study not only advances research in the field of factor decomposition, but also is of special interests for policy makers tasked with ensuring carbon emission reduction in China.
更新日期：2024-03-05
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