為了增強全球的競爭力,新興經濟體開始發展創新以促進產業向高科技領域轉型。人力資本和研發投資已經成為新興經濟體實施創新的重要投入要素。然而,製造業的影響力卻被忽略了。為了證明製造業的重要性以及探索影響創新效率的因素,本文為66個新興經濟體構造了一個三階段創新模型。創新模型的每階段效率值以及整體效率值由網絡資料包絡分析法進行評估。我們發現製造業的效率是導致各國效率值表現不同的關鍵因素。高等教育入學率、市場規模以及知識產權的保護力度被證明會分別影響各階段的效率值。最後,本文總結了策略改善圖以改善各國的創新表現。;To enhance their global competitiveness, emerging economies begin to promote innovation to facilitate the transition of their industries to high-technology fields. Human capital and investment in R&D have become crucial inputs for emerging economies to implement innovation. However, the key effect of manufacturing has been overlooked. In order to prove the importance of manufacturing and discover factors that affect the innovation efficiency, this paper constructs a three-stage innovation model for 66 emerging economies. The innovation efficiency of each stage and the overall efficiency is evaluated by a network data envelopment analysis. We find that manufacturing efficiency is a key reason which results in the diverse innovation efficiency within each country. Enrollment rate in higher education, market size, and intellectual property protection are demonstrated to influence the efficiency of each stage externally. Finally, an improvement strategy map is summarized to improve each country’s innovation performance.