How data market drives regional energy efficiency? —Quasi-natural experimental evidence from China

Bibliographic Data

ID7397200
AuthorsXiaoxi Cao (0000-0003-1583-5329), Yiye Zhang (0000-0002-5010-7258)
Year2025
Volume10
Pages101057-101057
Publication date2025-07-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSustainable Futures (JOURNAL)
Journal identifiersISSN: 2666-1888
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.sftr.2025.101057
OpenAlexW4412749832
LanguageEN
Citations received1
References cited33

Enhancing the mechanisms of resource conservation and reallocation through data markets (DM) holds promise for instigating renewed vigor in regional energy efficiency. This paper utilizes data encompassing 284 prefecture-level cities spanning the period from 2007 to 2021. Employing the quasi-natural experiment afforded by the data trading platform, we construct a difference-in-differences (DID) model to investigate the impact of DM on energy efficiency. The key points: (1) DM exerts a favorable influence on regional energy efficiency, a relationship robustly confirmed through rigorous testing procedures; (2) DM facilitates improvements in energy efficiency by shaping the decision-making processes of enterprises and influencing environmental behaviors at the governmental level; (3) the efficacy of DM manifests more prominently in regions characterized by pronounced information asymmetries; (4) DM exhibits spatial effects, extending its influence across regional boundaries to impact energy efficiency levels. These conclusions carry significant policy implications for further advancement of DM and sustainable development

Business · China · Economics · Energy (signal processing · Geography · Natural (archaeology · Natural experiment · Statistics · Energy, Environment, Economic Growth · Environmental Science · Innovation Diffusion and Forecasting · Market Dynamics and Volatility · Mathematics