Determinants of natural disaster emergency public investment cycles in central and southern Chinese regions: The role of technological innovation efficiency

Fangjian Zhou, Hao Zhou, Hua Guo, Yinchun Lei, Chengling Tang and Xue Li

Technological Forecasting and Social Change, 2024, vol. 209, issue C

Abstract: This paper analyses the disaster emergency public investment performance against the background of carbon emissions using the super-efficiency DEA and Malmquist models combined with emergency management and handling methods. A comprehensive and systematic analysis of the performance of natural disaster emergency public investment in the central and southern regions found deficiencies in current emergency performance due to inadequate legislation, inadequate resource allocation, and lack of prevention knowledge among the public. Further research results indicate that various provinces in the central and southern regions attach great importance to emergency public investment in natural disasters, mainly through the influence of scale efficiency and technical efficiency, which promotes enhancement in productivity, thus, the increase of emergency public investment rate. Technical efficiency positively impacts output, and some provinces have differences in their natural disaster emergency public investment rates due to the slow growth of technological progress. Therefore, specific measures will be gradually implemented to address the influencing factors.

Keywords: Carbon emissions; Malmquist model; Natural disasters; Emergency public investment (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162524005067
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:209:y:2024:i:c:s0040162524005067

DOI: 10.1016/j.techfore.2024.123708

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 ().