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Huang R, Lv G, Li X. Taiwan has shifted to being a net CO 2 exporter since the mid-1990s. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2020; 264:110484. [PMID: 32250909 DOI: 10.1016/j.jenvman.2020.110484] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2019] [Revised: 01/03/2020] [Accepted: 03/22/2020] [Indexed: 05/28/2023]
Abstract
With the integration of the global economy and increased international trade, CO2 emissions embodied in trade have attracted broad attention. In this study, we examined Taiwan's CO2 emissions embodied in its imports and exports with its 167 trade partners from 1970 to 2015 using the emissions embodied in bilateral trade (EEBT) method. The results show that since the mid-1990s, Taiwan has shifted to being a net CO2 emissions exporter. The share of Taiwan's CO2 emissions exported to developed countries has decreased. However, the share exported to Mainland China, Hong Kong special administrative region and many developing countries in Southeast Asia has increased. The results of a structural decomposition analysis show that emissions intensity changes were the main driving force for Taiwan's exported CO2 emissions during 1970-1996, while increased export volumes were the largest driving force for Taiwan's exported CO2 emissions during 1996-2015. Emissions intensity changes and population growth are the main driving factors for Taiwan's CO2 emissions produced and consumed by itself increases. Based on the SDA results, environmentally friendly policies, such as energy efficiency and industrial structure optimization, are suggested to help Taiwan shift towards a sustainable economy.
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Affiliation(s)
- Rui Huang
- Key Laboratory of Virtual Geographic Environment for the Ministry of Education, Nanjing Normal University, Nanjing, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China.
| | - Guonian Lv
- Key Laboratory of Virtual Geographic Environment for the Ministry of Education, Nanjing Normal University, Nanjing, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China.
| | - Xiaojie Li
- Transfinder Software Technology Shanghai Company Limited, Shanghai, China
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Lin X, Zhang Y, Zou C, Peng L. CO 2 emission characteristics and reduction responsibility of industrial subsectors in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 699:134386. [PMID: 31678872 DOI: 10.1016/j.scitotenv.2019.134386] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Revised: 09/08/2019] [Accepted: 09/08/2019] [Indexed: 06/10/2023]
Abstract
Industrial subsectors have an important role in reducing China's carbon dioxide (CO2) emissions. The present study analyzes the CO2 emission characteristics of selected subsectors. Results show that the electric and heat power sector is the major industrial CO2 emitter, and CO2 emissions of most sectors present huge inter-provincial and inter-regional differences. Then, the CO2 emission reduction responsibility of provincial-level industrial subsectors is confirmed by the decoupling model. Results show that the development of a low-carbon economy in the nonmetal sector is ideal, and the economic growth in Shanxi and Guizhou is moving toward a low-carbon and energy-saving mode. Moreover, the subsectors that each province should focus on are identified. Finally, constructive suggestions for policymakers to promote low-carbon economy and sustainable development are provided.
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Affiliation(s)
- Xinru Lin
- College of the Environment & Ecology, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen 361102, China.
| | - Yiting Zhang
- Policy Research Center, Hubei Academy of Environmental Science, Bayi Road, Hongshan District, Wuhan 430072, China.
| | - Chenyi Zou
- College of the Environment & Ecology, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen 361102, China.
| | - Lihong Peng
- College of the Environment & Ecology, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen 361102, China.
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Xu L, Chen G, Wiedmann T, Wang Y, Geschke A, Shi L. Supply-side carbon accounting and mitigation analysis for Beijing-Tianjin-Hebei urban agglomeration in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2019; 248:109243. [PMID: 31325793 DOI: 10.1016/j.jenvman.2019.07.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Revised: 05/20/2019] [Accepted: 07/05/2019] [Indexed: 06/10/2023]
Abstract
Cities play an important role in controlling climate change. Previous 'city-scale studies' have investigated consumption-based emission accounting for demand-side mitigation analysis. However, to date very few studies have presented income-based emissions accounting for supply-side mitigation strategies at the level of an urban agglomeration. To fill this gap, this research begins by accounting for the income-based carbon footprint of the Beijing-Tianjin-Hebei (BTH) urban agglomeration. The 14 cities that make up the BTH region were grouped into 4 types in order to analyse the emission patterns of each and to identify both labour-intensive and carbon-efficient sectors. The results from this analysis are presented in a number of heatmaps, which show emission patterns, labour-capital ratios and carbon efficiencies. The industry relocation among the 14 cities is then discussed with regards to the Beijing-Tianjin-Hebei Coordinated Development Strategy. The results indicate that the service sector of Beijing, several mining sectors of resource-oriented cities and the electricity production for all of the cities are the most carbon-intensive sectors from an income-based perspective; the labour-intensive sectors are typically carbon-efficient, and the combination of supply-side carbon emissions, carbon efficiency and labour-to-capital ratio helps identify the key sectors for providing policy-makers the direction of industrial adjustment and relocation.
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Affiliation(s)
- Lixiao Xu
- Institute of National Accounts and School of Statistics, Beijing Normal University, Beijing, 100875, China
| | - Guangwu Chen
- Institute of National Accounts and School of Statistics, Beijing Normal University, Beijing, 100875, China; Sustainability Assessment Program (SAP), School of Civil and Environmental Engineering, UNSW Sydney, NSW, 2052, Australia
| | - Thomas Wiedmann
- Sustainability Assessment Program (SAP), School of Civil and Environmental Engineering, UNSW Sydney, NSW, 2052, Australia; Centre for Integrated Sustainability Analysis, School of Physics, The University of Sydney, New South Wales, 2006, Australia
| | - Yafei Wang
- Institute of National Accounts and School of Statistics, Beijing Normal University, Beijing, 100875, China.
| | - Arne Geschke
- Centre for Integrated Sustainability Analysis, School of Physics, The University of Sydney, New South Wales, 2006, Australia
| | - Lei Shi
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
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A Novel Collaborative Optimization Model for Job Shop Production–Delivery Considering Time Window and Carbon Emission. SUSTAINABILITY 2019. [DOI: 10.3390/su11102781] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The manufacturing industry is undergoing transformation and upgrading from traditional manufacturing to intelligent manufacturing, in which Internet of Things (IoT) technology plays a central role in promoting the development of intelligent manufacturing. In order to solve the problem that low production efficiency and machine utilization lead to serious pollution emissions in the workshop caused by untimely transmission of information in all links of the production and manufacturing process to whole supply chains, this study establishes an intelligent production scheduling and logistics delivery model with IoT technology to promote green and sustainable development of intelligent manufacturing. Firstly, an application framework of IoT technology in production–delivery supply chain systems was established to improve efficiency and achieve the integration of production and delivery. Secondly, an integrated production–delivery model was constructed, which takes into account time and low carbon constraints. Finally, a two-layer optimization algorithm was proposed to solve this integration problem. Through a case study, the results show this integration production–delivery model can reduce the cost of supply chains and improve customer satisfaction. Moreover, it proves that carbon emission cost is a major factor affecting total cost, and it could help enterprises to realize the profit and sustainable development of the environment. The production–delivery model could also support the last kilometer distribution problem and extension under E-commerce applications.
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