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The green development in China through the lens of complex cybernetics: Insight for a new era

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  • Lin, Aihua
  • Toma, Pierluigi
  • Zhang, Minfeng
  • Fusco, Giulio

Abstract

Measuring the level of green development is far from being a well-assessed problem, due to both the broad meaning of green development and the presence of randomness in environmental changes. In this paper, we develop the sustainable development evaluation index system from different perspectives, including resource utilization, green development management, green development quality, environmental protection, growth quality and green lifestyle. This evaluation index system is further viewed as a cybernetic system. Following a rough set approach, we properly address the issue of uncertainty and develop a robust estimation methodology. Neighborhood rough set and rough set methods based on genetic algorithms (GAs) have been used to identify the key indicators within the system. First, the results illustrate how a cybernetic approach deals with green policy and economic growth. Second, such a cybernetic approach provides new insights into identifying the main attributes for a sustainable development. Finally, stategies of improving green development in different parts of China are provided, concluding this paper.

Suggested Citation

  • Lin, Aihua & Toma, Pierluigi & Zhang, Minfeng & Fusco, Giulio, 2024. "The green development in China through the lens of complex cybernetics: Insight for a new era," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    • Handle: RePEc:eee:tefoso:v:208:y:2024:i:c:s0040162524004554
    DOI: 10.1016/j.techfore.2024.123657
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    References listed on IDEAS

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    1. Ji Feng & Zheng Zhao & Yali Wen & Yilei Hou, 2021. "Organically Linking Green Development and Ecological Environment Protection in Poyang Lake, China Using a Social-Ecological System (SES) Framework," IJERPH, MDPI, vol. 18(5), pages 1-23, March.
    2. Jabari Lotf, Jalil & Abdollahi Azgomi, Mohammad & Ebrahimi Dishabi, Mohammad Reza, 2022. "An improved influence maximization method for social networks based on genetic algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    3. Cheng, Shixiong & Shu, Can & Jin, Meiling & He, Yuhang, 2023. "Balancing resources and sustainability: Analyzing the impact of mineral resources utilization on green growth," Resources Policy, Elsevier, vol. 86(PA).
    4. Wan, Qilong & Miao, Xiaodong & Afshan, Sahar, 2022. "Dynamic effects of natural resource abundance, green financing, and government environmental concerns toward the sustainable environment in China," Resources Policy, Elsevier, vol. 79(C).
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    Cited by:

    1. Aleksei I. Shinkevich & Farida F. Galimulina & Naira V. Barsegyan, 2024. "Measuring and Forecasting the Development Concept of the “Green” Macrosystem Using Data Analysis Technologies," Sustainability, MDPI, vol. 16(24), pages 1-19, December.
    2. Ren, Xiaohang & Li, Wenqi & Li, Yiying, 2024. "Climate risk, digital transformation and corporate green innovation efficiency: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 209(C).

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