The differentiated impacts of interprovincial trade on achieving nine environment-related SDGs in China
In the wave of globalization, trade has had profound and unique impacts on resource allocation and the Sustainable Development Goals (SDGs) among different regions. However, we still have a limited understanding of the impacts of interprovincial trade on environment-related SDGs, especially compared...
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| Format: | Article |
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Elsevier
2025-02-01
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| Series: | Environmental and Sustainability Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665972725000108 |
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| author | Xiaoyu Duan Qingxu Huang Ziwen Liu Ling Zhang Penghui Li Chunyang He Delin Fang Zhenci Xu Yihao Li |
| author_facet | Xiaoyu Duan Qingxu Huang Ziwen Liu Ling Zhang Penghui Li Chunyang He Delin Fang Zhenci Xu Yihao Li |
| author_sort | Xiaoyu Duan |
| collection | DOAJ |
| description | In the wave of globalization, trade has had profound and unique impacts on resource allocation and the Sustainable Development Goals (SDGs) among different regions. However, we still have a limited understanding of the impacts of interprovincial trade on environment-related SDGs, especially compared with the counterfactual no-trade scenario. Therefore, via an environmentally extended multiregional input‒output model and scenario analysis, we explored the impacts of interprovincial trade on the achievement of nine environmental-related SDG targets across 31 provinces in China. The results revealed that interprovincial trade has improved environmental sustainability across the country, with the total score of the nine SDGs increasing by 4.3%. Specifically, trade positively contributed to the achievement of SDG6.4 (sustainable water use) and SDG9.4 (clean industrialization) in eight sectors and slightly inhibited the achievement of SDG7.3 (primary energy efficiency). In addition, interprovincial trade has exerted greater environmental pressure on developing provinces (e.g., Nei Mongol, Jilin and Heilongjiang) with better natural resource endowments than developed provinces (e.g., Beijing, Tianjin, Shanghai). Importantly, we found that the impacts on the total SDG score was significantly associated with GDP per capita (R = 0.65, p < 0.01). Therefore, regions and sectors that are vulnerable to negative impacts need increasing technical and policy support. |
| format | Article |
| id | doaj-art-a0b21f18745b444c9b1242086ef4be7b |
| institution | Kabale University |
| issn | 2665-9727 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environmental and Sustainability Indicators |
| spelling | doaj-art-a0b21f18745b444c9b1242086ef4be7b2025-01-29T05:01:57ZengElsevierEnvironmental and Sustainability Indicators2665-97272025-02-0125100589The differentiated impacts of interprovincial trade on achieving nine environment-related SDGs in ChinaXiaoyu Duan0Qingxu Huang1Ziwen Liu2Ling Zhang3Penghui Li4Chunyang He5Delin Fang6Zhenci Xu7Yihao Li8State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China; School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China; School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; Corresponding author. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China; School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, ChinaKey Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen, 518055, China; Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, ChinaDepartment of Geography, The University of Hong Kong, Hong Kong, ChinaFaculty of Geographical Science, Beijing Normal University, Beijing, 100875, ChinaIn the wave of globalization, trade has had profound and unique impacts on resource allocation and the Sustainable Development Goals (SDGs) among different regions. However, we still have a limited understanding of the impacts of interprovincial trade on environment-related SDGs, especially compared with the counterfactual no-trade scenario. Therefore, via an environmentally extended multiregional input‒output model and scenario analysis, we explored the impacts of interprovincial trade on the achievement of nine environmental-related SDG targets across 31 provinces in China. The results revealed that interprovincial trade has improved environmental sustainability across the country, with the total score of the nine SDGs increasing by 4.3%. Specifically, trade positively contributed to the achievement of SDG6.4 (sustainable water use) and SDG9.4 (clean industrialization) in eight sectors and slightly inhibited the achievement of SDG7.3 (primary energy efficiency). In addition, interprovincial trade has exerted greater environmental pressure on developing provinces (e.g., Nei Mongol, Jilin and Heilongjiang) with better natural resource endowments than developed provinces (e.g., Beijing, Tianjin, Shanghai). Importantly, we found that the impacts on the total SDG score was significantly associated with GDP per capita (R = 0.65, p < 0.01). Therefore, regions and sectors that are vulnerable to negative impacts need increasing technical and policy support.http://www.sciencedirect.com/science/article/pii/S2665972725000108Chinese interprovincial tradeSustainable development goalsMultiregional input‒output modelScenario analysis |
| spellingShingle | Xiaoyu Duan Qingxu Huang Ziwen Liu Ling Zhang Penghui Li Chunyang He Delin Fang Zhenci Xu Yihao Li The differentiated impacts of interprovincial trade on achieving nine environment-related SDGs in China Environmental and Sustainability Indicators Chinese interprovincial trade Sustainable development goals Multiregional input‒output model Scenario analysis |
| title | The differentiated impacts of interprovincial trade on achieving nine environment-related SDGs in China |
| title_full | The differentiated impacts of interprovincial trade on achieving nine environment-related SDGs in China |
| title_fullStr | The differentiated impacts of interprovincial trade on achieving nine environment-related SDGs in China |
| title_full_unstemmed | The differentiated impacts of interprovincial trade on achieving nine environment-related SDGs in China |
| title_short | The differentiated impacts of interprovincial trade on achieving nine environment-related SDGs in China |
| title_sort | differentiated impacts of interprovincial trade on achieving nine environment related sdgs in china |
| topic | Chinese interprovincial trade Sustainable development goals Multiregional input‒output model Scenario analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2665972725000108 |
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