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Industrial Innovation

Measuring the Transformation of Scientific and Technological  Achievements from the Perspective of Policy Convergence  and Efficiency Divergence — A Case Study of the New Energy Vehicle Industry in Henan Province 

Wei Jingyi 

(School of Politics and Public Administration, Zhengzhou University, Zhengzhou 450000, China)

Abstract: Against the backdrop of a profound restructuring in the global automotive indus⁃ try, new energy vehicles (NEVs) have become a strategic focal point of China's technological  revolution. However, a critical challenge persists in many regions, including Henan Province: the deep disconnection between "policy alignment" and "substantive innovation", where local  R&D activities often superficially comply with policy directives but lack genuine technological  breakthroughs and market value. This study aims to address the core question of "how to pre⁃ cisely identify genuine innovation versus pseudo-convergence, and how to diagnose different  types of transformation bottlenecks within the NEV industry." Adopting a research approach that  integrates natural language processing (NLP), quantitative evaluation, and spatial matrix analy⁃ sis, this paper first reveals the limitations of traditional macro-level indicators in capturing the  micro-semantic relationship between policy guidance and technological output. Second, it inno⁃ vatively constructs a two-dimensional spatial diagnostic matrix of "policy convergence degreetransformation efficacy degree", using Henan Province's NEV industry as the empirical object. The methodology involves three key steps: ① collecting provincial and municipal policy texts  and micro-level technical texts from 2019 to 2025; ② employing the BERT pre-trained lan⁃ guage model to perform deep semantic alignment and cosine similarity calculation for measuring  policy convergence; and ③applying the CRITIC objective weighting method to comprehensively  evaluate transformation efficacy based on indicators such as the number of patent claims, cita⁃ tion frequency, and patent family size. The empirical findings reveal three main results. First, there is significant spatial polarization and subject path differentiation. The "ZhengzhouLuoyang-Xinxiang" core area is identified as a "high-synergy demonstration zone" with high convergence and high efficacy, but its technology spillover effects remain limited. Second, sev⁃ eral prefecture-level cities have fallen into a "high-convergence low-transformation zone", char⁃ acterized by high convergence but low efficacy, displaying obvious "arbitrage-style innovation"  where R&D activities are designed to capture policy rents rather than create substantive techno⁃ logical value. Third, university research institutions and certain niche technology fields are pri⁃ marily located in a "non-synergy high-value zone", exhibiting low policy convergence but high  transformation efficacy, indicating their potential for frontier disruptive innovation, yet lacking a  "semantic channel" to connect with current policies. Based on these three diagnostic insights, this paper creatively proposes a targeted policy intervention framework. Its core implications in⁃ clude: ① for the "high-synergy demonstration zone", enhancing technology spillover mecha⁃ nisms through collaborative platforms and industry chains; ②for the "high-convergence lowtransformation zone", reforming evaluation criteria to penalize low-quality, arbitrage-oriented  patents and redirecting resources toward genuine innovation; and ③for the "non-synergy highvalue zone", establishing a "weak signal scanning mechanism" to incorporate high-potential, policy-orphaned technologies into future policy support. The two-dimensional matrix model  thus provides a quantitative tool for local governments to accurately identify transformation  bottlenecks, optimize the allocation of scientific and technological resources, and bridge the  "industry-university-research-government" transformation gap, offering robust empirical sup⁃ port for improving regional technology governance systems. 

Key words: policy analysis; transformation of achievements; new energy vehicles; ZhengzhouLuoyang-Xinxiang; industry-university-research-government; disruptive innovation; regional  innovation; semantic analysis