随着数字技术的不断进步，我国依赖劳动力的比较优势逐渐减弱，面临着发展上的挑战。为塑造国际竞争新优势、打造新的经济增长点，我国制造业向数字化转型升级，并借“一带一路”倡议构建的区域价值链提升价值链地位和国际影响力，实现未来发展。基于此，本文将在相关研究的基础上，探究制造业数字化转型升级对中国在“一带一路”区域价值链的地位的影响及其产业异质性。在构造实证回归模型中，本文的被解释变量选取“一带一路”区域价值链地位，核心解释变量选取制造业数字化投入水平，并将多种相关要素作为控制变量纳入计量模型中。为使结果更加准确，本文使用固定效应模型进行回归分析并得出以下结论：制造业数字化转型升级对中国在“一带一路”区域价值链地位有明显正向影响，并且在产业层面存在差异性，尤其是资本密集型产业对价值链地位的提升作用更为显著。此外，基于研究结果，本文将给出关于我国未来实现“制造强国”目标的建议。

As digital technology advances, China's labor-dependent comparative advantage is progressively diminishing, posing developmental challenges. To create new advantages in international competition and new economic growth points, China's manufacturing industry is transforming and upgrading to a more digitalized state, and China is utilizing the regional value chain established by the Belt and Road Initiative to enhance its global value chain position and international influence in pursuit of future development. Based on the current research outputs, this paper figures out the impact of the digital transformation and upgrading of the manufacturing industry on China's position in the Belt and Road regional value chain and the industrial heterogeneity of that impact. When establishing an econometric model, this paper uses the position of the Belt and Road regional value chain as the explained variable, the level of investment in manufacturing digitalization as the core explanatory variable, and various relevant factors as control variables to conduct empirical analysis. To make the results more accurate, this paper goes through fixed effects model regression analysis and gives the following conclusions: The digital transformation and upgrading of the manufacturing industry positively affects China’s position in the Belt and Road regional value chain with noticeable significance. Moreover, there is industry-level heterogeneity, among which capital-intensive industries have a more pronounced effect on improving the position of the regional value chain. Finally, this paper advises on how to achieve the goal of becoming a "manufacturing power" in the future based on the previous regression results.