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Sustainable Development of Business Economy Based on Big Data Algorithm under the Background of Low-Carbon Economy

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  • Xuefeng Liu

    (School of Economics and Management, Harbin University, Harbin 150086, China)

  • Li Ma

    (School of Economics and Management, Harbin University, Harbin 150086, China)

Abstract

After the low-carbon economy (LCE) was proposed, countries all over the world examined their national economic structures and found the necessity for developing a LCE. Therefore, it is necessary to vigorously develop low-carbon technologies and improve technological and policy innovation capabilities. From the perspective of promoting the coordinated development of the low-carbon economic system and regional sustainable development, this paper conducted an in-depth analysis of the coordinated development of the low-carbon economic system and regional environmental issues by using the relevant theories of sustainable development, low-carbon economics, and environmental economics. The index system of the low-carbon economic system and regional sustainable development was constructed, and the coupling degree model and regional coupling coordination degree model suitable for the development of the low-carbon economic system and regional sustainable development were established. On the basis of analyzing the status quo of a LCE and the environment in a coastal area, it was finally concluded that in the next five years, the value of the coupling coordination degree of the LCE and its sustainable system development would continue to approach 1 and grow steadily.

Suggested Citation

  • Xuefeng Liu & Li Ma, 2023. "Sustainable Development of Business Economy Based on Big Data Algorithm under the Background of Low-Carbon Economy," Sustainability, MDPI, vol. 15(7), pages 1-16, March.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5840-:d:1109135
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    References listed on IDEAS

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    1. Chen, Kuan-Jen & Chu, Angus C. & Lai, Ching-Chong, 2018. "Home production and small open economy business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 110-135.
    2. Faerber, Laura Antonia & Balta-Ozkan, Nazmiye & Connor, Peter M., 2018. "Innovative network pricing to support the transition to a smart grid in a low-carbon economy," Energy Policy, Elsevier, vol. 116(C), pages 210-219.
    3. Duarte, Rosa & Sánchez-Chóliz, Julio & Sarasa, Cristina, 2018. "Consumer-side actions in a low-carbon economy: A dynamic CGE analysis for Spain," Energy Policy, Elsevier, vol. 118(C), pages 199-210.
    4. Mendicino, Caterina & Zhang, Yahong, 2018. "Risk shocks in a small open economy: Business cycle dynamics in Canada," Economic Modelling, Elsevier, vol. 72(C), pages 391-409.
    5. Carlos Andrés Tavera Romero & Diego F. Castro & Jesús Hamilton Ortiz & Osamah Ibrahim Khalaf & Miguel A. Vargas, 2021. "Synergy between Circular Economy and Industry 4.0: A Literature Review," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
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    Cited by:

    1. Jarmila Straková & Yaroslava Kostiuk, 2023. "Importance of Business Process Quality for Creating Added Value and Raising Reputation of Companies in Low-Carbon Economy," Energies, MDPI, vol. 16(17), pages 1-18, September.

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