[口頭報告]Does the Clean Energy Industry Policy Affect the Innovation Network Structure of Enterprises? A Study Based on ERGM
Does the Clean Energy Industry Policy Affect the Innovation Network Structure of Enterprises? A Study Based on ERGM
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稿件編號:416 訪問權限:僅限參會人
更新:2024-05-19 15:39:28
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口頭報告

報告開始:2024年05月31日 16:50 (Asia/Shanghai)
報告時間:15min
所在會議:[S10] Green Energy Transformation and Sustainable Development ? [S10-2] Afternoon of May 31st
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摘要
清潔能源技術創新是我國實現能源綠色轉型的重要支撐,政策干預能夠為技術創新提供必要的支持和激勵。運用社會網絡分析法,構建我國省域間清潔能源企業技術創新空間關聯網絡,劃分技術創新分布的不同板塊。進一步,構建指數隨機圖模型實證檢驗需求型、環境型和供給型政策對清潔能源企業技術創新網絡形成機制的影響。研究發現,我國清潔能源技術創新網絡呈現緊密、穩健的趨勢,且各地區在網絡中占據的地位表現出“強者俞強”的特征。其中,需求型、環境型政策能夠顯著影響技術創新的發出和接收關系,但供給型政策僅在產業發展初期顯著促進技術創新的接收關系。因此,要注重創新板塊間的關聯關系,協作制定產業創新政策,驅動創新網絡一體化。
Clean energy technology innovation is an important support for China to achieve green energy transformation, and policy intervention can provide necessary support and incentives for technological innovation. By applying social network analysis, we construct an interprovincial clean energy enterprise technological innovation spatial correlation network in China, dividing different sectors of technological innovation distribution. Furthermore, we employ the index random graph model to empirically examine the effects of demand-driven, environment-driven, and supply-driven policies on the formation mechanism of clean energy enterprise technological innovation networks. The study finds that the clean energy technology innovation network in China shows a trend of closeness and robustness, with regions demonstrating a " The strong get stronger" characteristic in the network. Demand-driven and environment-driven policies significantly influence the emission and reception relationships of technological innovation, while supply-driven policies only promote the reception relationships of technological innovation significantly in the early stage of industrial development. Therefore, it is essential to focus on the relationship between innovative sectors, collaboratively formulate industrial innovation policies, and drive the integration of innovation networks.
Clean energy technology innovation is an important support for China to achieve green energy transformation, and policy intervention can provide necessary support and incentives for technological innovation. By applying social network analysis, we construct an interprovincial clean energy enterprise technological innovation spatial correlation network in China, dividing different sectors of technological innovation distribution. Furthermore, we employ the index random graph model to empirically examine the effects of demand-driven, environment-driven, and supply-driven policies on the formation mechanism of clean energy enterprise technological innovation networks. The study finds that the clean energy technology innovation network in China shows a trend of closeness and robustness, with regions demonstrating a " The strong get stronger" characteristic in the network. Demand-driven and environment-driven policies significantly influence the emission and reception relationships of technological innovation, while supply-driven policies only promote the reception relationships of technological innovation significantly in the early stage of industrial development. Therefore, it is essential to focus on the relationship between innovative sectors, collaboratively formulate industrial innovation policies, and drive the integration of innovation networks.
關鍵字
清潔能源,技術創新,產業政策,社會網絡分析,指數隨機圖模型
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