Configuring Technological Innovation and Resource Synergies for Performance in New Energy Vehicle Enterprises: A Path Analysis Using Empirical and Comparative Methods

Yunqing Liu, Ziqi Guo and Qianwen He ()
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Yunqing Liu: School of Finance and Public Administration, Anhui University of Finance and Economics, Bengbu 233030, China
Ziqi Guo: School of Finance and Public Administration, Anhui University of Finance and Economics, Bengbu 233030, China
Qianwen He: School of Finance and Public Administration, Anhui University of Finance and Economics, Bengbu 233030, China

Sustainability, 2025, vol. 17, issue 11, 1-21

Abstract: In the fast-growing new energy vehicle (NEV) industry, selecting an appropriate technological innovation strategy is vital for enterprises to achieve a competitive market position while effectively coordinating their resources to align with their technical capabilities. This paper integrates ambidextrous innovation theory and the resource-based view to propose a configurational model that examines how the synergy between technological innovation and resources influences NEV firm performance. Using regression analysis and qualitative comparative analysis (QCA) for 52 listed Chinese NEV companies, this study uncovered multiple growth paths and mechanisms. The findings include the following: (1) No single factor was a necessary condition for performance, but effective combinations of innovation strategies and resource elements led to multiple success paths. (2) Government subsidies and R&D investment emerged as key drivers of performance. (3) Four distinct configuration paths were identified, with variations across firms with different resource bases. (4) In response to reduced government subsidies, NEV firms must shift from policy-driven strategies to resource- and market-driven innovation approaches. These insights provide strategic guidance for NEV enterprises in selecting innovation strategies suited to their unique resource bases in the evolving post-subsidy market environment.

Keywords: technological innovation strategy; resource base; firm performance; regression analysis; QCA (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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