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Study of the Spatio-Temporal Differentiation of Factors Influencing Carbon Emission of the Planting Industry in Arid and Vulnerable Areas in Northwest China

Author

Listed:
  • Yujie Huang

    (College of Economics and Trade, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China
    These authors contributed equally to this work.)

  • Yang Su

    (College of Economics and Trade, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China
    These authors contributed equally to this work.)

  • Ruiliang Li

    (College of Letters and Science, University of Wisconsin-Madison, Madison, WI 53706, USA)

  • Haiqing He

    (School of Geomatics, East China University of Technology, Nanchang 330013, China)

  • Haiyan Liu

    (School of Water Resources and Environmental Engineering, East China University of Technology, Nanchang 330013, China)

  • Feng Li

    (School of business administration, Xinjiang University of Finance and economics, Xinjiang 830012, China)

  • Qin Shu

    (College of Economics and Trade, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China)

Abstract

Due to the importance of understanding the relationship between agricultural growth and environmental quality, we analyzed how high-quality agricultural development can affect carbon emissions in Northwest China. Based on the concept of the environmental Kuznets curve, this study uses provincial panel data from 1993 to 2017 to make empirical analyses inflection point changes and spatio-temporal differences in agricultural carbon emissions. The highlights of our findings are as follows: (1) In Northwest China, there is an inverse N-shape curve, and the critical values are 3578 yuan/hm 2 and 45,738 yuan/hm 2 , respectively. (2) For 2017, the agricultural economic intensity was 50,670 yuan/hm 2 , exceeding the critical value (high inflection point) of 45,738 yuan/hm 2 . (3) Ningxia, Gansu, and Qinghai have not reached the turning point. Having comparable climate, natural conditions, and overall environmental factors, these three provinces would reach the turning point at similar time periods. (4) The average value in agricultural carbon emission intensity in the region is 767.79 kg/hm 2 , and the order based on intensity is Xinjiang > Shaanxi > Ningxia > Gansu > Qinghai.

Suggested Citation

  • Yujie Huang & Yang Su & Ruiliang Li & Haiqing He & Haiyan Liu & Feng Li & Qin Shu, 2019. "Study of the Spatio-Temporal Differentiation of Factors Influencing Carbon Emission of the Planting Industry in Arid and Vulnerable Areas in Northwest China," IJERPH, MDPI, vol. 17(1), pages 1-14, December.
    • Handle: RePEc:gam:jijerp:v:17:y:2019:i:1:p:187-:d:302332
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    Cited by:

    1. Jie Huang & Zimin Sun & Pengshu Zhong, 2022. "The Spatial Disequilibrium and Dynamic Evolution of the Net Agriculture Carbon Effect in China," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    2. Wen Xiang & Jianzhong Gao, 2023. "From Agricultural Green Production to Farmers’ Happiness: A Case Study of Kiwi Growers in China," IJERPH, MDPI, vol. 20(4), pages 1-25, February.

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