2017
DOI: 10.1016/j.techfore.2016.10.014
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National innovation system, social entrepreneurship, and rural economic growth in China

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Cited by 98 publications
(52 citation statements)
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“…Success of a social entrepreneur depends on his ability to attract resources (labor and capital) and innovative ways to create social value in a competitive environment [97]. Social entrepreneurial policies of the government play an important role in rural economic growth, which is dependent on allocation of research and development (R&D) resources and labor mobility by the government [98].…”
Section: Conceptualmentioning
confidence: 99%
“…Success of a social entrepreneur depends on his ability to attract resources (labor and capital) and innovative ways to create social value in a competitive environment [97]. Social entrepreneurial policies of the government play an important role in rural economic growth, which is dependent on allocation of research and development (R&D) resources and labor mobility by the government [98].…”
Section: Conceptualmentioning
confidence: 99%
“…The first reason is the always unique configuration of the three types of infrastructure (Kooij, Van Assche, & Lagendijk, 2014;Vergragt, 2017). The second reason was the unique forms of multi-level governance which de facto exist in each region, hence the different relations between local and regional innovation, and between local and regional innovation infrastructure (Kuhlmann & Ordóñez-Matamoros, 2017;Wu, Zhuo, & Wu, 2017). In other words, what is useful for a local community to foster innovation always hinges on the regional conditions and innovation infrastructure (and vice versa).…”
Section: Discussionmentioning
confidence: 99%
“…However, other determinants that are not examined in this study, such as development strategies and knowledge economy may also be at play. The readers are referred to existing studies for more details (e.g., [48][49][50][51]). Models 2-5 examine the relationship between GDP and intercity transport demand by modes of land, air and water.…”
Section: Spatial Autoregressive (Sar) Modelmentioning
confidence: 99%