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Carbon dioxide emissions and inland container transport in Taiwan

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  • Liao, Chun-Hsiung
  • Lu, Chin-Shan
  • Tseng, Po-Hsing

Abstract

The aim of this study is to estimate the carbon dioxide (CO2) emissions from inland container transport during the time period of 1998–2008 and predicts the trend of these emissions. The analyses show that the CO2 emission from inland container transport in 1992 reached 1.03million tonnes, and the figure drastically increased by 89.3% to 1.95million tonnes in 2008. Using a multiple regression model, gross domestic product (GDP) and oil price are found to be the key drivers for CO2 emission. The CO2 mitigation strategies are discussed in the policy suggestions given that Taiwan is warming at twice global average rate.

Suggested Citation

  • Liao, Chun-Hsiung & Lu, Chin-Shan & Tseng, Po-Hsing, 2011. "Carbon dioxide emissions and inland container transport in Taiwan," Journal of Transport Geography, Elsevier, vol. 19(4), pages 722-728.
    • Handle: RePEc:eee:jotrge:v:19:y:2011:i:4:p:722-728
    DOI: 10.1016/j.jtrangeo.2010.08.013
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    2. Xue-ting Jiang & Min Su & Rongrong Li, 2018. "Investigating the Factors Influencing the Decoupling of Transport-Related Carbon Emissions from Turnover Volume in China," Sustainability, MDPI, vol. 10(9), pages 1-17, August.
    3. Yip, Tsz Leung & Wong, Mei Chi, 2015. "The Nicaragua Canal: scenarios of its future roles," Journal of Transport Geography, Elsevier, vol. 43(C), pages 1-13.
    4. Xiaopeng Guo & Jiaxing Shi & Dongfang Ren & Jing Ren & Qilin Liu, 2017. "Correlations between air pollutant emission, logistic services, GDP, and urban population growth from vector autoregressive modeling: a case study of Beijing," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 885-897, June.
    5. Iannone, Fedele, 2012. "The private and social cost efficiency of port hinterland container distribution through a regional logistics system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1424-1448.
    6. Yi Zheng & Huchang Liao & Xue Yang, 2016. "Stochastic Pricing and Order Model with Transportation Mode Selection for Low-Carbon Retailers," Sustainability, MDPI, vol. 8(1), pages 1-19, January.
    7. Mallidis, Ioannis & Dekker, Rommert & Vlachos, Dimitrios, 2012. "The impact of greening on supply chain design and cost: a case for a developing region," Journal of Transport Geography, Elsevier, vol. 22(C), pages 118-128.
    8. Xiaodong Li & Haibo Kuang & Yan Hu, 2019. "Carbon Mitigation Strategies of Port Selection and Multimodal Transport Operations—A Case Study of Northeast China," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
    9. Fei Ma & Yixuan Wang & Kum Fai Yuen & Wenlin Wang & Xiaodan Li & Yuan Liang, 2019. "The Evolution of the Spatial Association Effect of Carbon Emissions in Transportation: A Social Network Perspective," IJERPH, MDPI, vol. 16(12), pages 1-23, June.
    10. Al-Ghandoor, A., 2013. "An approach to energy savings and improved environmental impact through restructuring Jordan's transport sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 31-42.
    11. Jia-Bao Liu & Xin-Bei Peng & Jing Zhao, 2023. "Analyzing the spatial association of household consumption carbon emission structure based on social network," Journal of Combinatorial Optimization, Springer, vol. 45(2), pages 1-34, March.
    12. Li, Hongqi & Lu, Yue & Zhang, Jun & Wang, Tianyi, 2013. "Trends in road freight transportation carbon dioxide emissions and policies in China," Energy Policy, Elsevier, vol. 57(C), pages 99-106.
    13. Zhang, Chuanguo & Nian, Jiang, 2013. "Panel estimation for transport sector CO2 emissions and its affecting factors: A regional analysis in China," Energy Policy, Elsevier, vol. 63(C), pages 918-926.

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