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Impacts of Urbanization and Technology on Carbon Dioxide Emissions of Yangtze River Economic Belt at Two Stages: Based on an Extended STIRPAT Model

Author

Listed:
  • Yiping Liu

    (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Yuling Han

    (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
    College of Management, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)

Abstract

In the Yangtze River Economic Belt (YREB), one of the most important challenges at present is to promote green, low-carbon development. This study attempted to explore the impact of different dimensions of urbanization and technology on CO 2 emissions at different stages in YREB by using an extended STIRPAT model on provincial panel data from 2000 to 2017. To examine the change differences based on the different effects of urbanization and technology on CO 2 emissions, we divided the total study period into two stages according to the change trends of CO 2 emissions and considered the YREB as a whole as well as the lower, middle, and upper reaches individually. The main findings are as follows. First, an inverted U relationship was found between economic urbanization and CO 2 emissions for the entire study period along with the period of a rapid rise in CO 2 emissions (Stage I) only in YREB and the upper reaches, while in the stable change period (Stage II), the inverted U relationship existed in the upper and lower reaches. An inverted U relationship between technology and CO 2 emissions was only found in the middle reaches for Stage I and in the middle and lower reaches for Stage II. Second, during the entire study period, economic urbanization had the greatest inhibitory effect on carbon dioxide emissions, followed by energy intensity and population urbanization; during Stage I, the main reduction factors were economic urbanization and energy intensity, and population urbanization had a non-significant impact. Third, per capita gross domestic product (GDP) and population size had a positive impact on CO 2 emission increases. Specifically, during Stage II, the fitting effect was not good (R 2 is 0.3948), and the whole formula was not significant. In lower reaches, the economic urbanization had a positive impact at Stage I, the energy intensity had a rebound effect and per capita GDP had a non-significant impact at Stage II.

Suggested Citation

  • Yiping Liu & Yuling Han, 2021. "Impacts of Urbanization and Technology on Carbon Dioxide Emissions of Yangtze River Economic Belt at Two Stages: Based on an Extended STIRPAT Model," Sustainability, MDPI, vol. 13(13), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7022-:d:579968
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    2. Jie Chang & Pingjun Sun & Guoen Wei, 2022. "Spatial Driven Effects of Multi-Dimensional Urbanization on Carbon Emissions: A Case Study in Chengdu-Chongqing Urban Agglomeration," Land, MDPI, vol. 11(10), pages 1-19, October.
    3. Ang Li & Xiaofan Li & Yi Li & Hui Wang & Hong Zhang, 2022. "The Impact of Urbanization on Carbon Emissions and Spatial–Temporal Differentiation Based on Meta-Analysis in China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    4. Xiaomei Shen & Hong Zheng & Mingdong Jiang & Xinxin Yu & Heyichen Xu & Guanyu Zhong, 2022. "Multidimensional Impact of Urbanization Process on Regional Net CO 2 Emissions: Taking the Yangtze River Economic Belt as an Example," Land, MDPI, vol. 11(7), pages 1-16, July.

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