An innovation-driven model and multi-dimensional evaluation of industrial transformation in resource-based regions: A case study of the Yellow River π-shaped Curve Area

Sun Yifang; Chen Qiuji

doi:10.16152/j.cnki.xdxbzr.2026-04-018

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An innovation-driven model and multi-dimensional evaluation of industrial transformation in resource-based regions: A case study of the Yellow River π-shaped Curve Area

Human-earth system science | 更新时间：2026-07-27

- An innovation-driven model and multi-dimensional evaluation of industrial transformation in resource-based regions: A case study of the Yellow River π-shaped Curve Area
- Journal of Northwest University (Natural Science Edition) Vol. 56, Issue 4, Pages: 913-926(2026)
- 作者机构：
  
  西安科技大学　测绘科学与技术学院，陕西　西安　710054
- 作者简介：
- 基金信息：
- DOI：10.16152/j.cnki.xdxbzr.2026-04-018
  CLC： K902
- Received：16 September 2025，
  
  Revised：2025-11-15，
  
  Published：25 August 2026
- 稿件说明：
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Sun Yifang, Chen Qiuji. An innovation-driven model and multi-dimensional evaluation of industrial transformation in resource-based regions: A case study of the Yellow River π-shaped Curve Area[J]. Journal of Northwest University (Natural Science Edition), 2026, 56(4): 913-926.
DOI：

Sun Yifang, Chen Qiuji. An innovation-driven model and multi-dimensional evaluation of industrial transformation in resource-based regions: A case study of the Yellow River π-shaped Curve Area[J]. Journal of Northwest University (Natural Science Edition), 2026, 56(4): 913-926. DOI： 10.16152/j.cnki.xdxbzr.2026-04-018.

摘要

资源型地区产业转型面临路径依赖、生态约束与创新协同不足等多重困境，现有研究对该类型区域的动态跃迁机制与多维效度评价的关注亟待深化。该文以2010—2022年黄河几字弯地区为研究对象，构建“要素-时序-主体”三维分析框架，集成耗散结构理论与DEA的Malmquist-BCC混合模型开展动态-静态效度测度与时间-空间特征分析。研究发现：①几字弯地区创新水平呈现多维非均衡的梯度演进特征，成长型城市依托资源再投资形成科技-金融双高模式，但省会城市政策与技术创新脱节；②创新协同水平呈现时序增长与空间分异特征，省会及再生型城市协同指数显著高于区域均值，成长型城市协同指数年均增速达5.8%~6.0%，衰退型城市协同提升所需边际成本增加；③产业转型能力时空分异显著，黄河北部能源富集区因技术产业化占优，南部生态脆弱区受路径锁定与规模经济不足制约，产业转型能力可分为波动向好型、波动下滑型和波动回转型；④地区产业转型全要素生产率年均下降2.3%，主要源于技术效率与规模效率双重衰减，区域呈现“东高西低、北强南弱”的空间分异。通过阶段适配性干预、跨层级治理框架与动态反馈机制的有机融合，提出驱动资源型地区产业系统“抑制熵增-延缓锁定-激发跃迁”的可持续发展路径，为破解资源型地区转型陷阱、推进黄河流域创新协同发展提供理论依据与决策参考。

Abstract

Industrial transformation in resource-based regions is constrained by path dependence

ecological pressures

and insufficient collaborative innovation. Existing studies have paid insufficient attention to dynamic transition mechanism and multi-dimensional efficiency assessment in these regions. Using the Yellow River πshaped Curve Area as a case study

this paper constructed a three-dimensional "factor-temporal-actor" analytical framework and integrated dissipative structure theory with a DEA-Malmquist-BCC hybrid model to examine dynamic and static efficiency as well as spatiotemporal differentiation from 2010 to 2022. Findings revealed: ①Innovation levels exhibited multi-dimensional and uneven gradient evolution across the region. Growing cities developed a technology-finance dual-driven pattern through resource reinvestment

whereas provincial capitals experienced a mismatch between policy support and technological innovation. ②Innovation synergy exhibited both temporal growth and spatial differentiation. The synergy index of provincial capitals and regeneration-oriented cities remained significantly above the regional average. Growing cities achieved annual increases of 5.8%~6.0%

whereas declining cities faced rising marginal costs in improving innovation coordination. ③Industrial transformation capacity displayed significant spatiotemporal differentiation. The energy-rich northern region benefited from advantages in technological industrialization

whereas the ecologically fragile southern region was constrained by path lock-in and insufficient economies of scale. Industrial transformation trajectories could therefore be categorized into fluctuating-improving

fluctuating-declining

and fluctuation-rebound types. ④Industrial transformation total factor productivity (TFP) declined by an average of 2.3% annually

mainly due to the simultaneous decline in technical and scale efficiency. Spatially

the region exhibited a gradient pattern characterized by stronger performance in the east and north. By integrating stage-specific interventions

cross-scale governance frameworks

and dynamic feedback mechanisms

this study proposes a sustainable pathway for resource-based regions to suppress entropy growth

delay path lock-in

and stimulate industrial transition. The findings provide theoretical support and policy implications for overcoming transformation traps and promoting innovation-oriented coordinated development in the Yellow River Basin.

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