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Empowerment or Disempowerment: Digital Transformation and Green Sustainable Innovation—Based on the Moderating Perspective of "Local-Neighboring" Environmental Regulation
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Yingzhen Lin1, Qian Zhang2
Journal of Technology Economics | 2026, 45(3) : 49 - 64
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Journal of Technology Economics | 2026, 45(3): 49-64
• Industrial Technology Economics •
Empowerment or Disempowerment: Digital Transformation and Green Sustainable Innovation—Based on the Moderating Perspective of "Local-Neighboring" Environmental Regulation
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Yingzhen Lin1, Qian Zhang2
Affiliations
  • 1.School of Public Administration, Dongbei University of Finance and Economics, Dalian 116025, China
  • 2.School of Business, Dalian University of Technology, Panjin 124211, China
Published: 2026-03-25 doi: 10.12404/j.issn.1002-980X.J25091506
Outline
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The coordinated advancement of urban digitalization and green transformation (dual-transformation coordination) represents a crucial strategy for adapting to evolving technological and environmental conditions and for cultivating new sources of competitive advantage. Drawing on panel data from 284 prefecture-level cities in China spanning 2011 to 2023, nonlinear models, curvilinear moderating effect models, and partial linear functional coefficient models were employed to empirically investigate the effects of digitalization on green sustainable innovation and the associated boundary conditions. The findings are summarized as follows. Digital transformation exerts both "driving" and "cursing" effects on green sustainable innovation. The interplay of these two underlying mechanisms generates an inverted U-shaped relationship. During the study period, the driving effect remained dominant in most Chinese cities, indicating a favorable trend in the coordinated development of digitalization and greening. "Local-neighboring" environmental regulation imposes heterogeneous nonlinear moderating effects on the relationship between local digital transformation and green sustainable innovation. Specifically, local environmental regulation intensifies both the digital "driving" and "cursing" effects, resulting in a steeper inverted U-shaped curve and a leftward shift of the inflection point. This shift causes the optimal marginal effect of digitalization on green sustainable innovation to be achieved earlier. Geographically proximate environmental regulation strengthens the inverted U-shaped relationship between local digitalization and strategic green sustainable innovation, whereas economically and geographically proximate environmental regulation strengthens the inverted U-shaped relationship between local digitalization and substantive green sustainable innovation. Estimation results derived from the partial linear functional coefficient model further reveal that "local-neighboring" environmental regulation nonlinearly moderates the dual effects of digitalization. It enriches the literature on digital transformation and green innovation, providing theoretical insights for Chinese cities as they move toward a new stage of "dual-transformation coordination" development.

digital transformation  /  green sustainable innovation  /  environmental regulation  /  "dual-transformation coordination"  /  curvilinear moderation effect model  /  partially linear functional-coefficient model
林映贞, 张倩. 赋能或负能:数字化转型与绿色持续创新——基于“本地-邻近”环境规制调节视角. 技术经济, 2026 , 45 (3) : 49 -64 . DOI: 10.12404/j.issn.1002-980X.J25091506
Yingzhen Lin, Qian Zhang. Empowerment or Disempowerment: Digital Transformation and Green Sustainable Innovation—Based on the Moderating Perspective of "Local-Neighboring" Environmental Regulation[J]. Journal of Technology Economics, 2026 , 45 (3) : 49 -64 . DOI: 10.12404/j.issn.1002-980X.J25091506
Year 2026 volume 45 Issue 3
39
4
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doi: 10.12404/j.issn.1002-980X.J25091506
  • Receive Date:2025-09-15
  • Online Date:2026-10-28
  • Published:2026-03-25
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  • Received:2025-09-15
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Affiliations
    1.School of Public Administration, Dongbei University of Finance and Economics, Dalian 116025, China
    2.School of Business, Dalian University of Technology, Panjin 124211, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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