Spatiotemporal heterogeneities in the impact of the digital economy on carbon emission transfers in China

Haijing Yu, Shaowei Shen, Lei Han and Jian Ouyang

Technological Forecasting and Social Change, 2024, vol. 200, issue C

Abstract: This study investigates the spatiotemporal impacts of digital economic development on interprovincial carbon emissions transfer in China. Applying a proposed mixed geographically and temporally weighted spatial interaction panel regression (MGTWIPR) model, the study analyzes the annual carbon emissions data of 31 provincial administrative regions in China from 2015 to 2017. The results show that China's interprovincial carbon emissions transfers have apparent asymmetrical and imbalanced characteristics. The most significant transfers from the Yangtze River Delta (YRD) and Pearl River Delta (PRD) regions to north China and its surrounding areas follow a general pattern of carbon emissions transfer from developed to less developed regions. Improving digital economic development in origin regions promotes the exportation of carbon emissions to other areas. Conversely, enhancing digital economic development in destination regions would inhibit the import of carbon emissions to those regions. Additionally, from a spatial perspective, the impact of the origin region's digital economic development on carbon transfer is maximized in western China. Temporally, the influence of the origin region's digital economic development on carbon emissions transfers increases over time. This study integrates research regarding the digital economy and carbon emissions transfer, providing a novel perspective for digital economic studies. It also introduces a new research method for investigating the spatiotemporal heterogeneity of panel data. The results suggest the development of targeted strategies for regions with net carbon emissions exports and imports, emphasizing the role of digital technology in curbing carbon emissions to meet China's dual carbon goals.

Keywords: Digital economy; Carbon emission transfer; MGTWIPR model; Spatiotemporal heterogeneity (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S004016252300851X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:200:y:2024:i:c:s004016252300851x

DOI: 10.1016/j.techfore.2023.123166

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().