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来源类型Working Paper
规范类型报告
DOI10.3386/w20025
来源IDWorking Paper 20025
Input Diffusion and the Evolution of Production Networks
Vasco M. Carvalho; Nico Voigtländer
发表日期2014-03-31
出版年2014
语种英语
摘要The adoption and diffusion of inputs in the production network is at the heart of technological progress. What determines which inputs are initially considered and eventually adopted by innovators? We examine the evolution of input linkages from a network perspective, starting from a stylized model of network formation. Producers direct their search for new inputs along vertical linkages, screening the network neighborhood of existing suppliers to identify potentially useful inputs. A subset of these is then adopted, following a tradeoff between the benefits from input variety and the costs of customizing new inputs. Guided by this framework, we document a novel stylized fact at both the sector and the firm level: producers are more likely to adopt inputs that are already used – directly or indirectly – by their current suppliers. In particular, using disaggregated input-output data, we show that initial network proximity of a sector in 1967 significantly increases the likelihood of adoption throughout the subsequent four decades. A one-standard deviation decrease in network distance is associated with an increase in the adoption probability by one third to one half. Similarly, U.S. firms are significantly more likely to develop new input linkages among their suppliers’ network neighborhood. Our results imply that the existing production network plays a crucial role in the diffusion of inputs and the evolution of technology.
主题Microeconomics ; Mathematical Tools ; General Equilibrium ; Macroeconomics ; Macroeconomic Models ; Industrial Organization ; Firm Behavior ; Development and Growth ; Innovation and R& ; D
URLhttps://www.nber.org/papers/w20025
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/577699
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GB/T 7714
Vasco M. Carvalho,Nico Voigtländer. Input Diffusion and the Evolution of Production Networks. 2014.
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