【摘要】 文章研究数实协同发展，将制造业和数字产业的协同发展路径分为数字产业促进制造业发展和制造业带动数字产业发展的路径，对完全竞争环境和不完全竞争环境中的协同发展路径进行了理论分析。在此基础上，采用熵权-TOPSIS方法和非参数随机前沿方法对中国制造业和数字产业协同水平分析，并进一步效应评估。研究发现，制造业与数字产业在发展过程中呈现出若干特征。其一，二者对各自理想发展水平的偏离均表现为正值，并呈现先交替波动后稳步上升的趋势；同时，制造业带动数字产业发展与数字产业促进制造业发展的路径在形态上具有相似性，在时间上具有同步性，在空间分布上则表现出一定程度的不均衡性。其二，二者的协同显著提升了地区生产总值，并促使第一、二产业在国内生产总值中的占比显著下降，第三产业的占比显著上升。其三，制造业与数字产业的协同有助于降低单位地区生产总值的电力消耗和能耗。更多还原

【Abstract】 This study examines the synergistic development between digital and real economies, and categorizes the synergistic development of manufacturing industry and digital industry into two pathways: digital industry promoting manufacturing industry, and manufacturing industry driving digital industry.A theoretical analysis of these pathways is conducted under both perfectly and imperfectly competitive environments.Using the entropy weight-TOPSIS method and a nonparametric stochastic frontier approach, this paper analyzes the synergy level between China’s manufacturing and digital industries and further assesses its effects.The findings reveal several key characteristics.First, both sectors exhibit positive deviations from their ideal development levels, showing initial alternating fluctuations followed by steady growth.Meanwhile, the two pathways demonstrate similarity in trajectory, synchronicity in timing, and a certain spatial imbalance.Second, their synergy significantly increases regional GDP,substantially reduces the shares of primary and secondary industries, and notably raises the share of tertiary industry.Third, this synergy helps reduce electricity and energy consumption per unit of regional GDP.更多还原