PERSISTENCE OF INNOVATION IN LOW-TECH INDUSTRY: FIRM-LEVEL EVIDENCE FOR FRENCH DAIRY PRODUCTS INDUSTRY

被引:2
|
作者
Dzukou, Kevin Randy Chemo [1 ]
机构
[1] INRAE, UMR SMART LERECO, Rennes, France
来源
REVUE ECONOMIQUE | 2021年 / 72卷 / 06期
关键词
sample selection; count data; innovation; state dependence; dairy industry; RESEARCH-AND-DEVELOPMENT; DATA MODELS; PATTERNS; CHOICE; IMPACT; BRANDS; COSTS; DUTCH; US;
D O I
10.3917/reco.726.1079
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper deals with the persistence of innovation in low-tech industries. Since innovation persistence is mainly explained in the literature by the sunk cost hypothesis, it is important to investigate the existence of such a phenomenon in this kind of industry. Using an innovation panel data set on French dairy industry for the period 2010-2017, we modeled two processes related to the persistence phenomenon: the innovation decision and its intensity. A sample selection model for count data accounting for individual effects and handling the initial conditions problem is estimated. The econometric results show that past innovation experience is an important factor for future innovation and thus confirm the hypothesis of true innovation persistence. In addition, the results highlight the importance of internal funds and knowledge accumulation (internal and external) in the ability of French dairy firms to innovate continuously over time.
引用
收藏
页码:1079 / 1109
页数:31
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