Related and unrelated variety as regional drivers of enterprise productivity and innovation: A multilevel study

被引:123
|
作者
Aarstad, Jarle [1 ]
Kvitastein, Olav A. [1 ]
Jakobsen, Stig-Erik [1 ]
机构
[1] Bergen Univ Coll, Bergen, Norway
关键词
Related variety; Unrelated variety; Productivity; Innovation; Specialization; Population density; EVOLUTIONARY ECONOMIC-GEOGRAPHY; RESOURCE-BASED THEORY; COGNITIVE DISTANCE; INCREASING RETURNS; PATH DEPENDENCE; GROWTH; IMPACT; FIRM; AGGLOMERATION; LOCATION;
D O I
10.1016/j.respol.2016.01.013
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
We conduct multilevel analyses of Norwegian data and find that related industrial variety is a positive regional driver of enterprise innovation. Unrelated variety is a negative regional driver of enterprise productivity. This implies that regions with high levels of related variety and low levels of unrelated variety optimize enterprise performance. We argue that regional specialization is a two-dimensional construct inversely associated with related and unrelated variety. Thus, a specialized region (low in unrelated variety) is in fact a driver of enterprise productivity. In addition, we find that population density is another regional driver of enterprise productivity. (C) 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:844 / 856
页数:13
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