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With the rapid development of the economy, it is a necessary choice to establish a set of scientific and reasonable evaluation indicators to evaluate the low-carbon economic development (LCED) level of the region. This article evaluates the level of economic development (ED) in various regions using multi-source data processing methods from the aspects of economic growth, economic structure, economic relations, economic system innovation, and economic coordination and sustainable development. This article uses two methods, normalization and dimensionless, to process each evaluation indicator and judge the level of ED in a region based on the ED index. The energy consumption (EC) of Region A is 20000 ton of standard coal equivalent (TCE), with clean energy accounting for 30%. The energy consumption of Region B is 18000 TCE, with clean energy accounting for 40%. This article helps to provide scientific guidance for regional economic development (RED).

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Regional Low-Carbon Economic Evaluation Model Under Multi-Source Data

  • 会议论文

  • 发表日期：

    2025年

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  • Lizhou Li

摘要

With the rapid development of the economy, it is a necessary choice to establish a set of scientific and reasonable evaluation indicators to evaluate the low-carbon economic development (LCED) level of the region. This article evaluates the level of economic development (ED) in various regions using multi-source data processing methods from the aspects of economic growth, economic structure, economic relations, economic system innovation, and economic coordination and sustainable development. This article uses two methods, normalization and dimensionless, to process each evaluation indicator and judge the level of ED in a region based on the ED index. The energy consumption (EC) of Region A is 20000 ton of standard coal equivalent (TCE), with clean energy accounting for 30%. The energy consumption of Region B is 18000 TCE, with clean energy accounting for 40%. This article helps to provide scientific guidance for regional economic development (RED).