统计与数据科学学院知识库

随着数字经济的快速发展，我国的产业格局在不断地调整，为了满足现代 化生产的需要，不少学者开始将目光集中在生产性服务业与制造业融合发展的 研究上。普遍发现，在改革开放后，我国的制造业逐渐走向高端化，对生产型 服务业的依赖程度越来越高，我国生产企业服务化的趋势逐渐明显，生产性服 务业与制造业协同发展的趋势愈发明显。 本文首先梳理国内外有关生产性服务业与制造业发展以及两业协调发展的 有关文献，并从已有的文献研究中总结出相关理论。其次，根据数字经济发展 指标与过往生产性服务业和制造业发展的相关指标，构建出数字经济背景下生 产性服务业发展与制造业发展的两个指标体系，并收集沿黄九省2012-2021年的 数据，用熵权 TOPSIS 法对沿黄九省 10 年生产性服务业发展与制造业发展进行 测度。然后，将所得生产服务业发展和制造业发展测度结果带入到耦合协调度 模型计算出沿黄九省2012-2021年数字经济背景下生产性服务业与制造业协调发 展程度。最后，利用面板固定效应模型与门槛回归模型考察了生产性服务业发 展与制造业协调发展程度对生产性服务业与制造业发展的直接效应与门槛效应。 研究得出以下结论：（1）沿黄九省在数字经济背景下生产性服务业与制造 业协调发展水平存在地区差异。（2）沿黄九省在数字经济背景下生产性服务业 与制造业协调发展促进生产性服务业与制造业发展。（3）沿黄九省在数字经济 背景下生产性服务业与制造业融合发展对生产性服务业与制造业存在门槛效应。

With the rapid development of the digital economy, China's industrial pattern is constantly adjusting. In order to meet the needs of modern production, many scholars have begun to focus on the research of the integration and development of productive service industry and manufacturing industry. It is widely found that after the reform and opening up, China's manufacturing industry has gradually moved towards high-end development, with a higher dependence on production-oriented service industries. The trend of service-oriented production enterprises in China has become increasingly evident, and the trend of collaborative development between production-oriented service industries and manufacturing industries has become more apparent. This thesis first reviews relevant literature at home and abroad on the development of productive services and manufacturing, as well as the coordinated development of the two industries, and summarizes relevant theories from existing literature research. Secondly, based on the development indicators of the digital economy and relevant indicators of past productive service and manufacturing industries, two indicator systems for the development of productive service and manufacturing industries in the context of the digital economy were constructed. Data from the nine provinces along the Yellow River from 2012 to 2021 were collected, and the entropy weighted TOPSIS method was used to measure the development of productive service and manufacturing industries in the nine provinces along the Yellow River over the past 10 years.Then, the measurement results of the development of the production service industry and manufacturing industry obtained will be incorporated into the coupled coordination model to calculate the degree of coordinated development between the production service industry and manufacturing industry in the digital economy background of the nine provinces along the Yellow River from 2012 to 2021. Finally, the panel fixed effects model and threshold regression model were used to examine the direct and threshold effects of the coordinated development of productive service industry and manufacturing industry on their development. The study concludes that:(1) There are regional differences in the coordinated development level of productive service industry and manufacturing industry in the nine provinces along the Yellow River under the background of digital economy. (2) The coordinated development of productive service industry and manufacturing industry in the context of digital economy in the nine provinces along the Yellow River promotes the development of productive service industry and manufacturing industry. (3) The integration of productive service industry and manufacturing industry in the context of digital economy in the nine provinces along the Yellow River has a threshold effect on the development of productive service industry and manufacturing industry.