School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China.
Int J Environ Res Public Health. 2021 Aug 25;18(17):8946. doi: 10.3390/ijerph18178946.
With the advent of the Energy 4.0 era, the adoption of "Internet + artificial intelligence" systems will enable the transformation and upgrading of the traditional energy industry. This will alleviate the energy and environmental problems that China is currently facing. The integrated development of artificial intelligence and the energy industry has become inevitable in the development of future energy systems. This study applied a comprehensive evaluation index to the energy industry to calculate the comprehensive development index of the energy industry in 30 provinces of China from 2000 to 2017. Then, taking Guangdong and Jiangsu as examples, the synthetic control method was used to explore the direction and intensity of the integrated development of artificial intelligence and the energy industry on the comprehensive development level of the local energy industry. The results showed that when artificial intelligence (AI) and the energy industry achieved a stable coupled development without the need to move to the coordination stage, the coupling effect promoted the development of the regional energy industry, and the annual growth rate of the comprehensive development index was above 20%. This coupling effect passed the placebo test and ranking test and was significant at the 10% level, indicating the robustness and validity of the experimental results, which strongly confirmed the great potential of AI in re-empowering traditional industries from the data perspective. Based on the findings, corresponding policy recommendations were proposed on how to promote the development of inter-regional AI, how the government, enterprises, and universities could cooperate to promote the coordinated development of AI and energy, and how to guide the integration process of regional AI and energy industries according to local conditions, in order to maximize the technological dividend of AI and help the construction of smart energy in China.
随着能源 4.0 时代的到来，采用“互联网+人工智能”系统将推动传统能源产业的转型和升级。这将缓解中国目前面临的能源和环境问题。人工智能与能源产业的综合发展是未来能源系统发展的必然趋势。本研究应用综合评价指标对能源产业进行评估，计算了 2000 年至 2017 年中国 30 个省份的能源产业综合发展指数。然后，以广东和江苏为例，采用合成控制法探讨了人工智能与能源产业的综合发展对当地能源产业综合发展水平的影响方向和强度。结果表明，当人工智能（AI）和能源产业实现稳定的耦合发展，而无需向协调阶段发展时，这种耦合效应促进了区域能源产业的发展，综合发展指数的年增长率超过 20%。这种耦合效应通过了安慰剂检验和排名检验，在 10%的水平上具有显著性，从数据角度验证了 AI 在为传统产业重新赋能方面的巨大潜力，实验结果具有稳健性和有效性。基于研究结果，提出了相应的政策建议，以促进区域间人工智能的发展，政府、企业和高校如何合作促进人工智能和能源的协调发展，以及如何根据当地情况引导区域人工智能和能源产业的融合过程，以最大化人工智能的技术红利，助力中国智能能源建设。
