国际经济与贸易学院知识库

      在当前全球经历科技革命浪潮的背景下，数字化的知识和信息不断影响着各行各业，数字技术已然成为推动传统制造业的转型升级的关键引擎。这一趋势对国内制造业产生了深刻影响，并在推动制造业高质量发展中起到了至关重要的作用。随着全球化的加深和市场竞争的激烈化，制造业对出口产品质量提出更高要求。为提升产品市场竞争力并满足国际市场需求，制造业企业需不断提升产品质量水平。数字技术作为关键生产要素，广泛应用于制造业企业，有助于其提高生产效率和产品质量。基于以上背景，本文从理论与实证两个方面深入研究了我国制造业数字化投入对出口产品质量的影响。
      首先，本文在对现有理论基础进行全面、深入研究的基础上，进一步挖掘了制造业数字化投入与出口产品质量的关系，并系统地探讨了可能的作用路径，从而提出了一系列具有实证可行性的研究假设。其次，采用中国工业企业数据库、中国海关数据库以及WIOD投入产出表等多源数据，对制造业的数字化投入与出口产品质量进行了测算。此外，分别对中国制造业数字化投入水平与出口产品质量水平的特征事实进行了分析，为后续的实证检验奠定了坚实的基础。最后，在构建计量模型的基础上，对制造业数字化投入对出口产品质量的影响及作用机制进行了严谨的实证检验。最终，本文得出以下研究结论：
    （1）通过特征分析，揭示了数字化投入和出口产品质量在制造业的发展中呈现出行业和地区之间的差异化趋势。（2）基于基础回归结果，有力地证实了制造业数字化投入对企业出口产品质量具有显著促进作用，并且经过稳健性检验，这一作用得到了进一步的验证。（3）通过异质性分析，发现制造业数字化投入对不同企业、行业和地区的出口产品质量产生了差异性影响。对于私营企业和外资企业、技术密集型行业、东中部地区来说，制造业数字化投入对出口产品质量表现出更明显的促进作用。（4）通过中介机制检验，本文揭示了数字化投入可以分别通过提高企业生产效率、节约企业成本和强化创新能力三个途径，实现对企业出口产品质量的全方位提升。

    In the context of the current wave of scientific and technological revolution in the world, digital technology and traditional manufacturing continue to integrate, and digital knowledge and information have become the key engine to promote the high-quality development of the manufacturing industry. This trend has had a profound impact on the domestic manufacturing industry and has played a vital role in promoting the transformation and upgrading of foreign trade in the manufacturing industry. With the deepening of globalization and the fierce competition in the market, the manufacturing industry has put forward higher requirements for product quality. In order to enhance the market competitiveness of products and meet the needs of the international market, manufacturing enterprises need to continuously improve the level of product quality. The widespread application of digital technology as a key production factor helps to improve production efficiency and product quality. Based on the above background, this paper selects the research topic of the impact of digital investment in China's manufacturing industry on the quality of export products, and demonstrates it from the perspectives of theory and empirical.
    Firstly, on the basis of a comprehensive and in-depth study of the existing theoretical basis, the relationship between digital production and export product quality is further discussed, and the possible ways of action are systematically explored, and some empirical feasibility research hypotheses are proposed. The second is to use multi-source data such as the China Industrial Enterprise Database, the China Customs Database, and the WIOD Input/Output Table to measure the quality of manufacturing data and export products. In addition, the characteristics of China's digital industry investment level and export product quality level are analyzed, which lays a solid foundation for subsequent empirical verification.Finally, on the basis of the establishment of an econometric model, the impact and mechanism of digital investment in manufacturing on the quality of export products are rigorously verified by empirical verification. The summary is as follows:
    (1) The indication analysis shows that the quality of digital raw materials and export products shows a trend of differentiation between industries and regions in the development of the manufacturing industry.  (2) Based on the results of baseline regression, there is strong evidence that digital investment in manufacturing plays an important role in improving the quality of export products, and reliability testing further confirms this effect. (3) Heterogeneity analysis shows that digital investment in manufacturing has different impacts on the quality of export products of different types of enterprises, industries and regions.  For private companies, foreign-owned enterprises, high-tech industries, and the eastern and central regions, digital investment in manufacturing plays a more obvious role in improving the quality of exports. (4) Through the intermediate mechanism test, this work shows that digital investment can comprehensively improve the quality of export products by improving enterprise production efficiency, saving enterprise costs, and enhancing innovation capabilities.