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Dynamic Interactive Effects of Technological Innovation, Transportation Industry Development, and CO 2 Emissions

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  • Kaige An

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China
    College of Urban Construction Engineering, Chongqing University of Arts and Science, Chongqing 402160, China)

  • Xiaowei Wang

    (The Craig and Diane Martin National Center for Construction Safety, University of Kansas, Lawrence, KS 66045, USA)

  • Zhenning Wang

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • He Zhao

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Yao Zhong

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Jia Shen

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Xiaohong Ren

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

Abstract

This paper aims to clarify the intricate relationships between technological innovation, transportation industry development, and CO 2 emissions to facilitate a positive synergy among technology, the economy, and climate, advancing the fulfillment of the ‘double carbon’ goal. Utilizing panel data from 30 provinces in China from 2005 to 2020, we employ the panel vector autoregressive model using a generalized method of moments to empirically examine the dynamic interactive effects between these participants. The findings reveal that the transportation industry significantly promoted the inhibitory impact of technological innovation on CO 2 emissions. However, such reductions cannot counterbalance the rise in emissions from the transportation industry. Moreover, its effects varied significantly across regions. Specifically, transportation industry development within eastern China contributed to a shift in the local carbon emission effects from positive to negative under the positive influence of technological innovation. In the northeast, the transportation industry enhanced the inhibitory effect of technological innovation on CO 2 emissions. In contrast, across the western region, industrial development in transportation intensified the role of technological innovation in promoting CO 2 emissions. Furthermore, this work found that CO 2 emissions notably diminished the CO 2 reduction performance of technological innovation in the eastern part and enhanced this performance in the northeastern region. These findings further revealed the complex interplay between technological innovation, the transportation industry, and CO 2 emissions. They offer insights for policymakers to tailor region-specific technologies to bolster the ‘dual carbon’ goal and sustainable transportation development strategies, thereby achieving CO 2 reduction.

Suggested Citation

  • Kaige An & Xiaowei Wang & Zhenning Wang & He Zhao & Yao Zhong & Jia Shen & Xiaohong Ren, 2024. "Dynamic Interactive Effects of Technological Innovation, Transportation Industry Development, and CO 2 Emissions," Sustainability, MDPI, vol. 16(19), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8672-:d:1494070
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    References listed on IDEAS

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    1. Dong, Xiaofang & Zheng, Siqi & Kahn, Matthew E., 2020. "The role of transportation speed in facilitating high skilled teamwork across cities," Journal of Urban Economics, Elsevier, vol. 115(C).
    2. Yang, Xuehui & Zhang, Huirong & Lin, Shanlang & Zhang, Jiaping & Zeng, Jianlong, 2021. "Does high-speed railway promote regional innovation growth or innovation convergence?," Technology in Society, Elsevier, vol. 64(C).
    3. Yinan Wang & Yujie Xu & Wenhui Chen, 2023. "Study on the Relationship between Agricultural Credit, Fiscal Support, and Farmers’ Income—Empirical Analysis Based on the PVAR Model," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    4. Chen, Huanyu & Yi, Jizheng & Chen, Aibin & Peng, Duanxiang & Yang, Jieqiong, 2023. "Green technology innovation and CO2 emission in China: Evidence from a spatial-temporal analysis and a nonlinear spatial durbin model," Energy Policy, Elsevier, vol. 172(C).
    5. Xie, Rui & Fang, Jiayu & Liu, Cenjie, 2017. "The effects of transportation infrastructure on urban carbon emissions," Applied Energy, Elsevier, vol. 196(C), pages 199-207.
    6. Liu, Xuemei & Yuan, Shuhan & Yu, Haoran & Liu, Zheng, 2023. "How ecological policy stringency moderates the influence of industrial innovation on environmental sustainability: The role of renewable energy transition in BRICST countries," Renewable Energy, Elsevier, vol. 207(C), pages 194-204.
    7. Shahbaz, Muhammad & Raghutla, Chandrashekar & Song, Malin & Zameer, Hashim & Jiao, Zhilun, 2020. "Public-private partnerships investment in energy as new determinant of CO2 emissions: The role of technological innovations in China," Energy Economics, Elsevier, vol. 86(C).
    8. Li, Zhiguo & Wang, Jie, 2022. "Spatial spillover effect of carbon emission trading on carbon emission reduction: Empirical data from pilot regions in China," Energy, Elsevier, vol. 251(C).
    9. Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
    10. Li, Jiajia & Wang, Pengxin & Ma, Shan, 2024. "The impact of different transportation infrastructures on urban carbon emissions: Evidence from China," Energy, Elsevier, vol. 295(C).
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