Do New Firms Boost Local Innovation? Evidence From Turkey

Karahasan, Burhan Can

doi:10.1177/01600176231173433

International Regional Science Review

2023

DOI: 10.1177/01600176231173433

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Do New Firms Boost Local Innovation? Evidence From Turkey

Burhan Can Karahasan

Abstract: New firms have been regarded as one of the key elements for local development. Existing studies focus on the direct impact of new firms via labour markets and job creation. However, the impact of new firms on regional innovation is less investigated. Our analyses are conducted for a developing country, Turkey. Findings of the study show that new firms are crucial for the regional differences in innovation. Results are robust to spatial dependence, an alternative firm formation measure, various regional control… Show more

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2024

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Cited by 2 publications

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Solving the Puzzle? An Innovation Mode Perspective on Lagging Regions

Hädrich,

Reher,

Thomä

2024

International Regional Science Review

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The promotion of innovation-driven development in lagging regions is currently on the regional policy agenda, so a sound understanding of how learning and innovation can be successful under the conditions there is crucial. In this context, this paper demonstrates the potential of an innovation mode approach at the micro level of regional innovation systems. Based on a conceptual framework on the relationship between knowledge bases and innovation modes in the field of regional development, a systematic literature review is used to analyze whether this potential has already been exploited in previous innovation studies on lagging regions. The results show that some important steps have already been taken in this direction. However, the potential gains in terms of a better understanding of innovation in lagging regions have so far been limited. Against this background, the authors identify several avenues for future research.

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Solving the Puzzle? An Innovation Mode Perspective on Lagging Regions

Hädrich,

Reher,

Thomä

2024

International Regional Science Review

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Spatial Distribution Characteristics and Driving Factors of Little Giant Enterprises in China’s Megacity Clusters Based on Random Forest and MGWR

Duan,

Zhao,

et al. 2024

Land

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As a representative of potential “hidden champions”, a concept originating in Germany, specialized and innovative Little Giant Enterprises (LGEs) have become exemplary models for small and medium-sized enterprises (SMEs) in China. These enterprises are regarded as crucial support for realizing the strategy of building a strong manufacturing country and addressing the weaknesses in key industrial areas. This paper begins by examining urban agglomerations, which serve as the main spatial carriers for industrial restructuring and high-quality development in manufacturing. Based on data from LGEs in the Yangtze River Delta (YRD) and Pearl River Delta (PRD) urban agglomerations from 2019 to 2023, the study employs the Random Forest (RF) and Multi-scale Geographically Weighted Regression (MGWR) methods to conduct a comparative analysis of their spatial patterns and influencing factors. The results are as follows: (1) LGEs exhibit spatial clustering in both the YRD and PRD regions. Enterprises in the YRD form a “one-axis-three-core” pattern within a distance of 65 km, while enterprises in the PRD present a “single-axis” pattern within a distance of 30 km, with overall high clustering intensity. (2) The YRD is dominated by traditional manufacturing and supplemented by high-tech services. In contrast, the PRD has a balanced development of high-tech manufacturing and services. Enterprises in different industries are generally characterized by a “multi-point clustering” characteristic, of which the YRD displays a multi-patch distribution and the PRD a point–pole distribution. (3) Factors such as industrial structure, industrial platforms, and logistics levels significantly affect enterprise clustering and exhibit scale effects differences between the two urban clusters. Factors such as industrial platforms, logistics levels, and dependence on foreign trade show positive impacts, while government fiscal expenditure shows a negative impact. Natural geographical location factors exhibit opposite effects in the two regions but are not the primary determinants of enterprise distribution. Each region should leverage its own strengths, improve urban coordination and communication mechanisms within the urban cluster, strengthen the coordination and linkage of the manufacturing industry chain upstream and downstream, and promote high-tech industries, thereby enhancing economic resilience and regional competitiveness.

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Do New Firms Boost Local Innovation? Evidence From Turkey

Cited by 2 publications

References 169 publications

Solving the Puzzle? An Innovation Mode Perspective on Lagging Regions

Solving the Puzzle? An Innovation Mode Perspective on Lagging Regions

Spatial Distribution Characteristics and Driving Factors of Little Giant Enterprises in China’s Megacity Clusters Based on Random Forest and MGWR

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