从环境创新到生产复杂性的涓滴效应
The trickle down from environmental innovation to productive complexity
摘要：
我们采用经济复杂度技术，在非常细粒度的水平上研究绿色技术和工业生产之间的经验关系。首先，我们使用绿色技术领域的专利数据作为竞争力的绿色创新的代理和出口产品的数据作为竞争力的工业生产的代理。其次，为了观察绿色技术发展如何渗透到工业生产中，我们建立了一个双向定向网络，将时间$t_1$的单一绿色技术与时间$t_2 \ge t_1$的单一产品联系起来，其基础是它们在各国技术和工业专业化概况中的时滞共存。第三，我们过滤网络中的链接，采用最大熵零模型。特别是，我们发现与绿色技术联系最紧密的工业部门与原材料加工有关，我们知道这对清洁能源创新的发展至关重要。此外，通过观察网络随时间的演变，我们观察到，更复杂的绿色技术知识需要更多的时间才能转移到工业生产中，并且也与更复杂的产品有关。
英文摘要：
We study the empirical relationship between green technologies and industrial production at very fine-grained levels by employing Economic Complexity techniques. Firstly, we use patent data on green technology domains as a proxy for competitive green innovation and data on exported products as a proxy for competitive industrial production. Secondly, with the aim of observing how green technological development trickles down into industrial production, we build a bipartite directed network linking single green technologies at time $t_1$ to single products at time $t_2 \ge t_1$ on the basis of their time-lagged co-occurrences in the technological and industrial specialization profiles of countries. Thirdly we filter the links in the network by employing a maximum entropy null-model. In particular, we find that the industrial sectors most connected to green technologies are related to the processing of raw materials, which we know to be crucial for the development of clean energy innovations. Furthermore, by looking at the evolution of the network over time, we observe that more complex green technological know-how requires more time to be transmitted to industrial production, and is also linked to more complex products.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
