受益于全球化的快速发展，中国工业发展迅速，逐渐成为国民经济的重要支柱产业。高速工业化引发的过度能源消耗也给中国带来了巨大的环境压力，严重制约了中国的可持续发展。为了控制能源消耗过度增长以及温室气体排放，促进经济高质量增长，中国开始转变经济发展方式，并提出“3060双碳目标”，向世界展示了中国应对资源与环境问题的决心。因此，在可持续发展的背景下推动绿色发展是促进中国经济高质量增长的题中之义。作为可持续发展战略目标下的一个新命题，数字普惠金融已经成为克服环境约束的有效途径，发展数字普惠金融是促进中国经济高质量增长的关键。数字普惠金融可以缓解金融资源的错配，有助于推广可再生能源和清洁技术，降低能源强度并提高绿色经济效率，但数字普惠金融究竟在何种程度上减少能源消耗强度达成绿色发展目标仍未得到充分说明，回答这个问题才能在实践领域更好地深入推广数字普惠金融，因此研究数字普惠金融对能源强度的影响具有重要的现实意义。

本文从空间角度出发，利用2011-2020年中国30个省（市、自治区）的面板数据，通过构建空间计量经济学模型，从全国和地区两个维度实证研究数字普惠金融对能源强度的空间效应，并进一步研究了数字普惠金融对邻近地区能源强度的空间溢出效应；通过中介效应模型揭示了数字普惠金融对能源强度的影响机制。研究结果表明：第一，从空间角度看，数字普惠金融的推广有利于减少能源消耗强度；第二，数字普惠金融不仅有助于抑制本地的能源强度，而且对周边省份能源强度具有明显的负向空间溢出效应；第三，数字普惠金融通过加快技术创新、调整能源消费结构和优化产业结构降低了能源强度。基于上述研究结论，提出以下政策建议：首先，应全力推动数字普惠金融深化发展，加大数字普惠金融与各城市产业发展政策及乡村振兴战略的对接力度；其次，为了实现可持续发展目标，政府应制定与本地区能源消费行为相一致的数字普惠金融减排目标和环境政策；最后，不同地区应审视自身数字化促进节能的困境，准确识别中介渠道，最大限度地实现数字普惠金融的节能增效潜力，以保证节能减排的有效性。

Benefiting from the rapid development of globalization, China's industry is developing rapidly and gradually becoming an important pillar of the national economy. However, excessive energy consumption caused by rapid industrialization has also brought huge environmental pressure to China, which has seriously restricted China's sustainable development. In order to control the excessive growth of energy consumption and greenhouse gas emissions and promote high-quality economic growth, China has started to change its economic development mode and put forward the "3060 double carbon goal", demonstrating to the world China's determination to deal with green development. Therefore, promoting green development in the context of sustainable development is a key issue in promoting high-quality economic growth in China. As a new proposition under the strategic goal of sustainable development, digital financial inclusion has become an effective way to overcome environmental constraints, and the development of digital financial inclusion is the key to promoting high-quality economic growth in China. digital financial inclusion can help alleviate the mismatch of financial resources, promote renewable energy and clean technologies, reduce energy intensity and improve the efficiency of the green economy, but the extent to which digital financial inclusion can reduce energy consumption intensity to achieve green development goals is still not fully explained. Therefore, it is of great practical significance to study the impact of digital financial inclusion on energy intensity.

From a spatial perspective, this paper constructs a spatial econometric model using panel data of 30 Chinese provinces (municipalities and autonomous regions) from 2011 to 2020, and firstly, empirically investigates the spatial effect of digital financial inclusion on energy intensity from the national total sample and regional sub-samples, and secondly, discusses the impact of spatial spillover effects of digital financial inclusion on energy intensity, and finally reveals through a mediating effect model Finally, the mechanism of the impact of digital financial inclusion on energy intensity is revealed through the mediating effect model. The research results show that: first, from the spatial perspective, the promotion of digital financial inclusion is conducive to reducing energy consumption intensity; second, digital financial inclusion not only helps suppress local energy intensity, but also has a significant negative spatial spillover effect on the energy intensity of neighboring provinces; third, digital financial inclusion reduces energy intensity by accelerating technological innovation, adjusting the structure of energy consumption and optimizing industrial structure. Based on the above research findings, the following policy recommendations are proposed: first, all efforts should be made to promote the deepening development of digital financial inclusion and increase the docking of digital financial inclusion with cities and rural revitalization strategies; second, in order to achieve sustainable development goals, the government should formulate digital financial inclusion emission reduction targets and environmental policies that are consistent with the energy consumption behavior of the region; finally, different regions should examine their own digital promotion energy saving dilemma, accurately identify intermediary channels, and maximize the energy saving and efficiency potential of digital financial inclusion to ensure the effectiveness of energy saving and emission reduction.

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