How can structural change contribute to concurrent sustainability policy targets on GDP, emissions, energy, and employment in China?

18117 9 98295 3 302277 document 98295 Pre-proof.pdf application/pdf ec65893c60be6c9eb52bc7171795d406 MD5 1870782 2022-07-18 08:44:02 https://pure.iiasa.ac.at/id/eprint/18117/1/Pre-proof.pdf 18117 1 1 application/pdf text en public cc_by_nc_nd_4

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2024-07-18 accepted 98296 2 302280 document 98296 lightbox.jpg image/png e53fa8996cc544bfbb1c09b034168f6b MD5 29925 2022-07-18 08:54:30 https://pure.iiasa.ac.at/id/eprint/18117/2/lightbox.jpg 18117 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en staffonly

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/98295 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/98295 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/98295 archive 353 disk0/00/01/81/17 2022-07-18 06:22:38 2024-07-18 03:00:07 2022-07-18 06:22:38 article show Zhang S. Yu Y. Kharrazi A. 8681 0000-0002-5881-2568 Ren H. Ma T. 1804 How can structural change contribute to concurrent sustainability policy targets on GDP, emissions, energy, and employment in China? pub ASA SYRR ECE S3 TISS Carbon emissions; Employment; Input-output analysis; Multi-objective optimization; Trade-offs For China to achieve carbon emissions peak and neutrality, the structural adjustment of both its economy and energy system is essential. In this study, a multi-objective optimization model based on the Input-Output approach is built to coordinate diverse policy targets vis-à-vis GDP growth, carbon emissions reduction, employment, and energy-saving of China from 2020 to 2030. The optimal structural adjustment pathways of China's economy, reflecting a high-resolution of available electricity generation technologies, under four policy preferences, are planned and the co-benefits and trade-offs among multiple policy targets are detected. Our results reveal that while the energy-saving preference is more likely to hinder GDP growth (by −190 trillion yuan) and employment levels (by −60 million jobs), however, this preference is conducive to carbon emissions reduction (by −2.6 billion tons). Furthermore, our findings reveal that although the low-carbon preference does not undermine employment levels, however, it will restrain GDP growth (by 109 trillion yuan). The integrated management of multiple policy targets would require the country's industrial structure to increase the proportion of low-carbon to total electricity generation to account for 71% by 2030 and the proportion of the services sector to the whole economy to account between 42% and 51% by 2030. 2022-10-01 published Elsevier doi:10.1016/j.energy.2022.124614 153 191 public Energy 256 e124614 TRUE 1873-6785 no info:eu-repo/semantics/article