Xie Chengxing, Wang Yue, Wang Weilong, Wu Liang
School of Economics, Sichuan University, Chengdu, China.
School of Economics and Management, Tarim University, Alar, China.
PLoS One. 2025 May 28;20(5):e0324036. doi: 10.1371/journal.pone.0324036. eCollection 2025.
Existing research predominantly delves into the environmental governance performance of the digital economy, ignoring the latent values of data factors. Public Data Open Platforms (PDOPs) have released vast amounts of public data, fostering high-level applications of data across multiple industries and domains. By employing panel data from 281 cities in China spanning 2006-2021, we empirically verify the impact of PDOPs on city-level carbon reduction, supported by various robustness tests, including the PSM-DID and placebo tests. Moreover, we emphasize that promoting green technology innovation and optimizing resource allocation efficiency are pivotal pathways through which PDOPs can enhance their carbon reduction effects. Heterogeneity analysis reveals that cities with more advanced digital infrastructure and higher market integration experience a more pronounced carbon reduction impact from PDOPs. Additionally, resource-abundant cities benefit more from PDOPs' carbon reduction effects than resource-scarce ones.
现有研究主要深入探讨数字经济的环境治理绩效,而忽略了数据要素的潜在价值。公共数据开放平台(PDOPs)已发布了大量公共数据,推动了数据在多个行业和领域的高水平应用。通过使用2006年至2021年中国281个城市的面板数据,我们实证验证了公共数据开放平台对城市层面碳减排的影响,并通过包括倾向得分匹配法-双重差分法(PSM-DID)和安慰剂检验在内的各种稳健性检验提供支持。此外,我们强调,促进绿色技术创新和优化资源配置效率是公共数据开放平台增强其碳减排效果的关键途径。异质性分析表明,数字基础设施更先进、市场一体化程度更高的城市,公共数据开放平台对其碳减排的影响更为显著。此外,资源丰富的城市比资源稀缺的城市从公共数据开放平台的碳减排效果中受益更多。