TY - JOUR
T1 - Strategies for Industrial Structure Adjustment to Achieve Near-Optimal Trade-Off Between Gross Domestic Product and Carbon Dioxide Emissions
AU - Chang, Ting Yu
AU - Lee, Hsing Chen
AU - Ku, Cooper Cheng Yuan
AU - Sanchez, Emilio Chang
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.
PY - 2024/4
Y1 - 2024/4
N2 - To cope with the potential threat caused by climate change, reducing carbon dioxide (CO2) emissions, which are mainly derived from fossil fuels, is the top priority in curbing global warming. Taiwan claims that its target for intended nationally determined contribution is to achieve a 50% reduction in the level of business-as-usual greenhouse gas emissions by 2030, which is equivalent to a decrease in emissions by 20% compared to the 2005 level. To reach the intended nationally determined contribution target for 2030, planning a long-term project is necessary. Therefore, the study proposes a multi-objective optimization model to program the industrial structure of Taiwan from 2022 to 2030 for a near-optimal trade-off between gross domestic product and CO2 emissions. The results indicate that industries with high emission rates, such as the chemical material and primary metal industries, must impose actions to significantly reduce emissions. In addition, high energy-intensive industries should not expand their scales to maintain sustainable development. On the contrary, the electrical machinery industry should be further developed. The findings can provide helpful information for policymakers and serve as a reference for future industrial development in Taiwan. Graphical Abstract: (Figure presented.)
AB - To cope with the potential threat caused by climate change, reducing carbon dioxide (CO2) emissions, which are mainly derived from fossil fuels, is the top priority in curbing global warming. Taiwan claims that its target for intended nationally determined contribution is to achieve a 50% reduction in the level of business-as-usual greenhouse gas emissions by 2030, which is equivalent to a decrease in emissions by 20% compared to the 2005 level. To reach the intended nationally determined contribution target for 2030, planning a long-term project is necessary. Therefore, the study proposes a multi-objective optimization model to program the industrial structure of Taiwan from 2022 to 2030 for a near-optimal trade-off between gross domestic product and CO2 emissions. The results indicate that industries with high emission rates, such as the chemical material and primary metal industries, must impose actions to significantly reduce emissions. In addition, high energy-intensive industries should not expand their scales to maintain sustainable development. On the contrary, the electrical machinery industry should be further developed. The findings can provide helpful information for policymakers and serve as a reference for future industrial development in Taiwan. Graphical Abstract: (Figure presented.)
KW - Carbon dioxide emission
KW - Energy consumption
KW - Energy-intensive industry
KW - Industrial structure adjustment policy
KW - Multi-objective programming
UR - http://www.scopus.com/inward/record.url?scp=85175568744&partnerID=8YFLogxK
U2 - 10.1007/s10666-023-09937-7
DO - 10.1007/s10666-023-09937-7
M3 - Article
AN - SCOPUS:85175568744
SN - 1420-2026
VL - 29
SP - 263
EP - 278
JO - Environmental Modeling and Assessment
JF - Environmental Modeling and Assessment
IS - 2
ER -