随着数字经济与绿色低碳转型深度融合，数据要素成为制造业绿色升级的核心新型生产要素。广西依托区位与资源优势形成特色制造业体系，但存在产业层次偏低、能耗偏高、数绿融合程度不足等转型难题。本文选取广西2010~2024年时间序列数据，构建计量模型实证检验数据要素对制造业绿色发展的影响效应。实证结果显示，数据要素对广西制造业绿色全要素生产率具有显著稳健的正向赋能作用。提出的对策建议，可为广西及西部欠发达地区制造业数绿融合、绿色低碳转型提供借鉴。

With the deep integration of the digital economy and the green, low-carbon transition,Data elements have become a core new production factor driving the green transformation of the manufacturing sector.Guangxi has leveraged its strategic location and resource advantages to establish a distinctive manufacturing system.However, the sector faces several transformation challenges, including a relatively low industrial level, high energy consumption, and insufficient integration of digitalization and green initiatives.This paper selects time series data from Guangxi for the period 2010–2024.Constructing an econometric model to empirically examine the impact of data elements on the green development of the manufacturing sector。Empirical results show that，Data elements exert a significant, robust, and positive enabling effect on the green total factor productivity of Guangxi's manufacturing sector.Proposed countermeasures and recommendations。This can serve as a reference for the manufacturing sector in Guangxi and other underdeveloped regions in western China to achieve digital-green integration and transition toward a green and low-carbon economy.