Carbon emission and economic development trade-offs for optimizing land-use allocation in the Yangtze River Delta, China
Reconciling carbon emissions and GDP development is a challenge for most Chinese cities in the sustainable development process. Taking the Yangtze River Delta of China as an example, this study calculated carbon-emission inventories for five typical years and assigned anthropogenic carbon emissions...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23000924 |
| _version_ | 1828005307135033344 |
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| author | Wei Li Zhenjie Chen Manchun Li Han Zhang Mingye Li Xiaoqian Qiu Chen Zhou |
| author_facet | Wei Li Zhenjie Chen Manchun Li Han Zhang Mingye Li Xiaoqian Qiu Chen Zhou |
| author_sort | Wei Li |
| collection | DOAJ |
| description | Reconciling carbon emissions and GDP development is a challenge for most Chinese cities in the sustainable development process. Taking the Yangtze River Delta of China as an example, this study calculated carbon-emission inventories for five typical years and assigned anthropogenic carbon emissions to land-use types. A multi-objective particle swarm algorithm was used to consider three functions of land-use allocation: maximizing GDP, minimizing carbon emissions, and maximizing suitability. Thereafter, the technique for order of preference by similarity to ideal solution (TOPSIS) method was combined to find the optimal solution for carbon emission and economic development trade-offs. It is observed that Jiangsu has the largest carbon emissions in the Yangtze River Delta region; energy consumption is the main source of the carbon emissions, and industrial land is the most carbon intensive region. The land-use allocation obtained by multi-objective optimization with the TOPSIS evaluation method increases GDP and reduces carbon emissions, which is worthy of reference for land planners. Land use optimization from the perspective of balancing carbon emissions and economic development can provide a useful reference for the rational use of land resources and socio-economic sustainable development. |
| first_indexed | 2024-04-10T07:29:00Z |
| format | Article |
| id | doaj.art-a0de0ac8d13a43b7b66312a3d6db67c9 |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-04-10T07:29:00Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-a0de0ac8d13a43b7b66312a3d6db67c92023-02-24T04:29:51ZengElsevierEcological Indicators1470-160X2023-03-01147109950Carbon emission and economic development trade-offs for optimizing land-use allocation in the Yangtze River Delta, ChinaWei Li0Zhenjie Chen1Manchun Li2Han Zhang3Mingye Li4Xiaoqian Qiu5Chen Zhou6School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing 210023, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China; Corresponding author at: School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China.School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing 210023, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, ChinaSchool of Computing and Information Systems, The University of Melbourne, Parkville, Victoria 3010, Australia; Department of Information Systems and Business Analytics, RMIT University, Melbourne, Victoria 3001, AustraliaSchool of Geography and Ocean Science, Nanjing University, Nanjing 210023, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing 210023, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, ChinaReconciling carbon emissions and GDP development is a challenge for most Chinese cities in the sustainable development process. Taking the Yangtze River Delta of China as an example, this study calculated carbon-emission inventories for five typical years and assigned anthropogenic carbon emissions to land-use types. A multi-objective particle swarm algorithm was used to consider three functions of land-use allocation: maximizing GDP, minimizing carbon emissions, and maximizing suitability. Thereafter, the technique for order of preference by similarity to ideal solution (TOPSIS) method was combined to find the optimal solution for carbon emission and economic development trade-offs. It is observed that Jiangsu has the largest carbon emissions in the Yangtze River Delta region; energy consumption is the main source of the carbon emissions, and industrial land is the most carbon intensive region. The land-use allocation obtained by multi-objective optimization with the TOPSIS evaluation method increases GDP and reduces carbon emissions, which is worthy of reference for land planners. Land use optimization from the perspective of balancing carbon emissions and economic development can provide a useful reference for the rational use of land resources and socio-economic sustainable development.http://www.sciencedirect.com/science/article/pii/S1470160X23000924Carbon emissionLand-use optimizationTOPSISLow carbon developmentYangtze River Delta |
| spellingShingle | Wei Li Zhenjie Chen Manchun Li Han Zhang Mingye Li Xiaoqian Qiu Chen Zhou Carbon emission and economic development trade-offs for optimizing land-use allocation in the Yangtze River Delta, China Ecological Indicators Carbon emission Land-use optimization TOPSIS Low carbon development Yangtze River Delta |
| title | Carbon emission and economic development trade-offs for optimizing land-use allocation in the Yangtze River Delta, China |
| title_full | Carbon emission and economic development trade-offs for optimizing land-use allocation in the Yangtze River Delta, China |
| title_fullStr | Carbon emission and economic development trade-offs for optimizing land-use allocation in the Yangtze River Delta, China |
| title_full_unstemmed | Carbon emission and economic development trade-offs for optimizing land-use allocation in the Yangtze River Delta, China |
| title_short | Carbon emission and economic development trade-offs for optimizing land-use allocation in the Yangtze River Delta, China |
| title_sort | carbon emission and economic development trade offs for optimizing land use allocation in the yangtze river delta china |
| topic | Carbon emission Land-use optimization TOPSIS Low carbon development Yangtze River Delta |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23000924 |
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