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<p>While digital technology has been recognized as a catalyst for land use optimization, existing studies often examine the relationship between digital technology innovation and social factors in isolation, neglecting their synergistic effects on Land Green Use Efficiency (LGUE). To address this research gap, this study integrates Sociotechnical System (STS) theory with configuration theory, adopting set-theoretic approaches-including Necessary Condition Analysis (NCA) and dynamic fuzzy-set Qualitative Comparative Analysis (fsQCA)-to explore the configurational pathways through which digital technology innovation drives LGUE. Using panel data from 108 cities in the Yangtze River Economic Belt (YREB) spanning 2010–2019, the study identifies equifinal pathways (multiple alternative configurations) wherein digital technology innovation interacts with social factors to enhance LGUE. The results reveal four key findings: (1) digital technology innovation alone does not constitute a necessary condition for LGUE improvement; (2) four distinct configurational pathways — government-oriented, human-capital-oriented, policy-hybrid, and transformation-oriented — drive LGUE; (3) substantial substitutability exists among social factors these pathways; and (4) these pathways exhibit robust spatiotemporal stability. This research advances configurational analysis in land use studies and provides actionable insights for policymakers to design region-specific strategies that synergize digital innovation with social factors for sustainable land management.</p>

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How does digital technology innovation improve land green use efficiency? Evidence from NCA and dynamic fsQCA method

  • 期刊论文

  • 发表日期：

    2025年5月1日

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  • Yang Chen,
  • Yinghui Zhao,
  • Lu Wang,
  • Junguo Shi

摘要

While digital technology has been recognized as a catalyst for land use optimization, existing studies often examine the relationship between digital technology innovation and social factors in isolation, neglecting their synergistic effects on Land Green Use Efficiency (LGUE). To address this research gap, this study integrates Sociotechnical System (STS) theory with configuration theory, adopting set-theoretic approaches-including Necessary Condition Analysis (NCA) and dynamic fuzzy-set Qualitative Comparative Analysis (fsQCA)-to explore the configurational pathways through which digital technology innovation drives LGUE. Using panel data from 108 cities in the Yangtze River Economic Belt (YREB) spanning 2010–2019, the study identifies equifinal pathways (multiple alternative configurations) wherein digital technology innovation interacts with social factors to enhance LGUE. The results reveal four key findings: (1) digital technology innovation alone does not constitute a necessary condition for LGUE improvement; (2) four distinct configurational pathways — government-oriented, human-capital-oriented, policy-hybrid, and transformation-oriented — drive LGUE; (3) substantial substitutability exists among social factors these pathways; and (4) these pathways exhibit robust spatiotemporal stability. This research advances configurational analysis in land use studies and provides actionable insights for policymakers to design region-specific strategies that synergize digital innovation with social factors for sustainable land management.